diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml
index 7ee6f65b2f..02e3cc1e44 100644
--- a/.pre-commit-config.yaml
+++ b/.pre-commit-config.yaml
@@ -223,3 +223,24 @@ repos:
         pass_filenames: true
         files: '^MyIA\.AI\.Notebooks/SymbolicAI/Lean/KNOTS/.*\.ipynb$'
         stages: [pre-commit]
+
+      - id: vendored-data-consumers
+        name: '#20628 — list notebooks reading a changed vendored taxonomy (advisory)'
+        description: |
+          A vendored data file (Argumentum OWL/CSV taxonomy) can change without
+          any notebook being re-executed: committed outputs then describe the
+          data as it was before, and the prose that comments on them too. The
+          founding case is #20628 (Obs-04 measured: 1513 classes / 7825 IRI
+          annotations on the old blob versus 1536 / 6632 on the current one).
+          This hook runs only when such a file is staged, prints every
+          notebook whose source cites that file, and marks the ones absent
+          from the same change. Advisory on purpose: it consumes no CI queue
+          slot (#13097 famine) and never blocks a legitimate commit; the
+          blocking verdict is available by running the script without
+          ``--advisory`` (a PR reviewer, or the author who wants the check).
+          Acceptance path chosen for #20628: the "organ" one, this hook.
+        entry: python scripts/notebook_tools/list_data_consumers.py --advisory
+        language: system
+        pass_filenames: false
+        files: '^MyIA\.AI\.Notebooks/SymbolicAI/Argument_Analysis/(ontologies/.*\.owl|data/.*taxonomy.*\.csv)$'
+        stages: [pre-commit]
diff --git a/MyIA.AI.Notebooks/SymbolicAI/Argument_Analysis/Argumentation-02b-Argumentum-Cards-Python.ipynb b/MyIA.AI.Notebooks/SymbolicAI/Argument_Analysis/Argumentation-02b-Argumentum-Cards-Python.ipynb
index 430c7323fa..641c007e1e 100644
--- a/MyIA.AI.Notebooks/SymbolicAI/Argument_Analysis/Argumentation-02b-Argumentum-Cards-Python.ipynb
+++ b/MyIA.AI.Notebooks/SymbolicAI/Argument_Analysis/Argumentation-02b-Argumentum-Cards-Python.ipynb
@@ -3,12 +3,21 @@
   {
    "cell_type": "markdown",
    "id": "6b944692",
-   "metadata": {},
+   "metadata": {
+    "papermill": {
+     "duration": 0.008262,
+     "end_time": "2026-10-23T14:49:02.008190+00:00",
+     "exception": false,
+     "start_time": "2026-10-23T14:49:01.999928+00:00",
+     "status": "completed"
+    },
+    "tags": []
+   },
    "source": [
     "# Argumentum : la carte de sophisme, du nœud de taxonomie à la carte jouable\n",
     "\n",
     "La taxonomie Argumentum recense **1408 sophismes** (cf. `Argumentation-Onto-02-CrossLinks-CSV-Python.ipynb`).\n",
-    "Parmi eux, **176 sont sélectionnés comme cartes jouables** (colonne `carte=1`) : c'est le\n",
+    "Parmi eux, **175 sont sélectionnés comme cartes jouables** (colonne `carte=1`) : c'est le\n",
     "*deck* imprimable du jeu Argumentum. Ce notebook montre comment **chaque carte dérive d'une ligne\n",
     "de la taxonomie** — la carte est un nœud de l'arbre, et son contenu (nom, famille, description,\n",
     "exemple, liens transverses) se construit mécaniquement depuis cette ligne.\n",
@@ -26,11 +35,20 @@
   {
    "cell_type": "markdown",
    "id": "50ad26ec",
-   "metadata": {},
+   "metadata": {
+    "papermill": {
+     "duration": 0.008956,
+     "end_time": "2026-10-23T14:49:02.022376+00:00",
+     "exception": false,
+     "start_time": "2026-10-23T14:49:02.013420+00:00",
+     "status": "completed"
+    },
+    "tags": []
+   },
    "source": [
     "## 1. Chargement de la taxonomie et filtrage des cartes\n",
     "\n",
-    "On charge la taxonomie entière (1408 nœuds) puis on isole les 176 nœuds marqués `carte=1`.\n",
+    "On charge la taxonomie entière (1408 nœuds) puis on isole les 175 nœuds marqués `carte=1`.\n",
     "La résolution du chemin CSV est robuste à l'exécution `nbconvert` (recherche de la racine du dépôt)."
    ]
   },
@@ -40,11 +58,19 @@
    "id": "65ef4273",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-11T11:22:31.145584Z",
-     "iopub.status.busy": "2026-08-11T11:22:31.145360Z",
-     "iopub.status.idle": "2026-08-11T11:22:31.210245Z",
-     "shell.execute_reply": "2026-08-11T11:22:31.209621Z"
-    }
+     "iopub.execute_input": "2026-10-23T14:49:02.042348Z",
+     "iopub.status.busy": "2026-10-23T14:49:02.040737Z",
+     "iopub.status.idle": "2026-10-23T14:49:02.119966Z",
+     "shell.execute_reply": "2026-10-23T14:49:02.119335Z"
+    },
+    "papermill": {
+     "duration": 0.091984,
+     "end_time": "2026-10-23T14:49:02.120494+00:00",
+     "exception": false,
+     "start_time": "2026-10-23T14:49:02.028510+00:00",
+     "status": "completed"
+    },
+    "tags": []
    },
    "outputs": [
     {
@@ -52,9 +78,9 @@
      "output_type": "stream",
      "text": [
       "Taxonomie entière   : 1408 nœuds\n",
-      "Cartes jouables     : 176 (carte=1)\n",
-      "Taux de sélection   : 12.5 % des nœuds deviennent des cartes\n",
-      "Source              : argumentum_fallacies_taxonomy.csv (3974 Ko)\n"
+      "Cartes jouables     : 175 (carte=1)\n",
+      "Taux de sélection   : 12.4 % des nœuds deviennent des cartes\n",
+      "Source              : argumentum_fallacies_taxonomy.csv (4079 Ko)\n"
      ]
     }
    ],
@@ -86,11 +112,20 @@
   {
    "cell_type": "markdown",
    "id": "d3a6cb7f",
-   "metadata": {},
+   "metadata": {
+    "papermill": {
+     "duration": 0.001531,
+     "end_time": "2026-10-23T14:49:02.123792+00:00",
+     "exception": false,
+     "start_time": "2026-10-23T14:49:02.122261+00:00",
+     "status": "completed"
+    },
+    "tags": []
+   },
    "source": [
     "## 2. Structure du deck : 7 familles représentées\n",
     "\n",
-    "Les 176 cartes couvrent **7 des 8 familles** canoniques de la taxonomie. La distribution est\n",
+    "Les 175 cartes couvrent **7 des 8 familles** canoniques de la taxonomie. La distribution est\n",
     "intentionnellement équilibrée (~25 cartes par famille) pour que le deck soit jouable sans\n",
     "qu'une famille domine."
    ]
@@ -101,16 +136,24 @@
    "id": "4a9b24f7",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-11T11:22:31.213016Z",
-     "iopub.status.busy": "2026-08-11T11:22:31.212781Z",
-     "iopub.status.idle": "2026-08-11T11:22:32.518145Z",
-     "shell.execute_reply": "2026-08-11T11:22:32.517103Z"
-    }
+     "iopub.execute_input": "2026-10-23T14:49:02.127913Z",
+     "iopub.status.busy": "2026-10-23T14:49:02.127759Z",
+     "iopub.status.idle": "2026-10-23T14:49:02.603991Z",
+     "shell.execute_reply": "2026-10-23T14:49:02.603443Z"
+    },
+    "papermill": {
+     "duration": 0.479061,
+     "end_time": "2026-10-23T14:49:02.604445+00:00",
+     "exception": false,
+     "start_time": "2026-10-23T14:49:02.125384+00:00",
+     "status": "completed"
+    },
+    "tags": []
    },
    "outputs": [
     {
      "data": {
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eT+dlOh9duXJlvp1Thx9j3jbDf0fCf+7qq6925z7r16/P9LhLL73U/b7m9pwGRQftXAAUO7oqrupTUXWDrpCrakK3qbJcX7oyruoOVdJ6U+9UadOiRYss1TYSXhWsq/qqIlFlha7OH2jPb1XUeFQBoKvxumqucXt0m+5TpUU4VUmEVnbrar0WalKVeChdbdfrzi1dRQ997a1atXJV0Lrdo8oGVWeHjkuVAWqloWpkb5/rS1MV9f6Et9YIp+oZPU9BVqGr2klTDFUdEd5zW5UmqrLRjARViaiKyqsOV0/R7KgCRVXfqjwIr4oK3ZehfUhVFaP9o0oGmT9/fpbtqto7t3K7/73xqepFLXTySpVWob8v3tRP7QNNMRZNa/T2rypE9LunMeh4jvQ6VXl1ID1adTx61euaZaC/AWrHo2M00vOp6kf7KvQYF1XMhC52pttVKRQ6VXd/qApP49Lvduh7o9kImmmQ0+8GAADRipVD487QmEaVuvqMV9VqfsQXBfHZqbgypyp0PYeqp7VOTqSZh95rLsjYRpXLqoLXjLrQ16r4RrGI91q1PcU7ek25aZUYTucIua141msLXVdIz6tq/dDYX+31VGmsynOPxuxV4qqSXecqoa9J51Ka1auq8LzQDGBV3Ss2Dp2xqJYeoTGddyyqalmV9/nBe+6ePXtmagWpfalZC9oPuRF6POj907mlfo8iHT+5pQpytRLR8abxaWaEqvBzKzfnk6Hj9v5eaNyqFtd5cSj9nqhi/0CEPp/WhNLz6TxNv88638jvc+q80BiUP9DfC/079NjW3069pwfyfiI20c4FQLGj9hsHHXSQ+7faMOhDTdM/9RWJAiFNX/3tt9/ctMjcUECoxKc+vBWsHAgFYN5UVY8CQLWpCE/e6/ZIgbJOIMKDXU2VDO8pmNcpa2rZEv78EjpNMtK4dMKlwMF7H/wWj4kmTfETv1Yu4Q455BDXukcncjph8psWqeNI1N4mOzppVZscTd8M3x/ad+Hy8t7ldv8ruNYxr3Fo6rR6Emrqtqa35maxWe2T8GP00EMPdf/XsaeTW52Qasqq+l7q4kJoz0RNyzyQ1+lHU1offfRRF8yHnrxH2nZejnHZnxPV8PdGf5PCf2c92bU5AgAgmrGy32enWruEfkYeaHwRrc9OtTdRC4acYriCjG30WkVt5SJRwYJoP6rVi1raKXmtQgy1ElQxg+Kv7KjQQck9tc7IjUjnJHrP1RbFowsoigHDC1O8FjWKu73Y+0DPC7yLNeHHg44DrXETSm1n1HJTSX/FrUrc6zhU65P94T13pJaYSqJrPanc0AWmwYMH2w8//OBa/HjC93Ne6IKC2g6qzYzOL9VmMS/by835pNoHqf2OLryFr1sUfv6ivxkHuoiuWhOpXYzaq4bH4OHPlx/n1Hn9e6ELXmpDo69YPedF/iKJDqBYUaWBPlAVJHlBrqgHoV8FtvfYvFAyVcnPhx56yF566aUsAWNe+CVj/W4PX8AzL/Ja4ZuXsYWOS/tdJ2d+wXJ4gBMNWlBGAbCqs3NLiVVVI6sSwjuJ2V+qiFBveS2ipZkMClS131Sp4x23+/ve5Xb/K6BUxb2q7N977z236Kyq75WA1m0a04FSD3edlGu76gmqXpX6fdGFqAN9nZFoAStVIulkXftW+0HHq3pWehc4ovX7J3rN2u/qlxjpOfJjnwMAUJCxck6fkfkdX8TaZ2dBxjbez6uPdqRkeOgsOT2fqmBVPa99rDEp3lGCU2vn+NF+VMJRPcxzIz9iIvUkV5/wSLyCJL+Eb3aLYuZESXz191bSWmv2qHJYFz+UmNVFnmjQYpma6are3RqLEtW6AKCkd+iCl/uzP3QciIq9dEEmP4pTPEoY6wKZzoF0AUZ9y3Uc6YKMLlaEH/sHGtPrdWpWrQqPtH1dpFBVuWbGKNYPf75oxPSiWRrewqjhmjdvfkDPgdhDEh1AseIt3OKdBHjVCApM2rZtm+3PKhBYtGhRrp5HCTpVMugDPDU11S28Ek0KkkIDYVUYrVmzJleLBRUE7UtVfajK40ADqIKgaaOqvMptBY5H0/4ULGZ3suYthKNjye+YU+WDFlRS8K4gPrz6KLf8guu87n9VL+lLi3YpeFd1vi4ShU6JjMSrXgsdh9rkiLeglU6idWxqAajwQDzSYr0HSs+n33vNGAgdlxY/iwV6b7TPdFLjVe0DAFAUYuW8ymt8kV1cUxifnSoyUIIwp/OB/IhtsnutoiKA3Lwferyq0fWlOFKFGbpYoaICP2o5ovHnZ4xep04dV5muxGJocZHX4kPV1jm9Hm9Gg/ZjpOrv0OcSvd7Qin3NPtTMALXnDKXE6yWXXOK+VAyjxSV1TKpFY2hLlty8P95zKzEfPltAt3n3Z7cNJfL1vEp4h87MUBJ9f/aHR/tf5zZqoaIKd/2eLVy4MEuLm/09n1TrILUuUoytCwAe7fOCoLHrvEIzTDXDIrTlUSzQ3wvlAZTsz++/nYhd9EQHUGyo6kLVIAqwvRYdCkA1hfTZZ591QUCkaVgeTTv98ccfbfLkybm6Uq0P81GjRrkVvnV1PJo0hSy0bYWS+uoDrRXKo0FV1goo9H6E07jCg8Fwei0KuiO9Z/nBq/LQdM5IQo8Lj44NTSXUxZPsZh4ceeSR7hgcOXJkltfpHUdeRUT4caWfyQudFEj48+R2/yuZHz4Gr79/6NRSP6tXr870+6JpnZqZoW141VN6reHPoZ7tB9pb3E+kfauLJnPmzLFYoBM3jVEXUML3i77XyQkAALEYK+fW/sYXfnFNfnx2Kq5Ua4jsKL5ToYyq59X7OlxoHHegsY3fa9XFDSXyVe0eqZ+8936oB7WqjcMT6krqZbePtU0lIXPbDz231EpGbWImTZqUpe2NqK92pL7k6h/t7UvvAsLMmTOD9yueDW+VoX71SmDqHExJcY/WUgrfn+HHhtqLNG7c2D1ndv36/d4fPbd+Z/TcoftZ1f0///xzpv3qtw0dP0qwh1aUq2WKZhSE0nGgizKh+0NUvR5Or0XFXVqvSPtc++Kff/6xW265xfLrfDJSjK39H2k8+SHS8+nf3jEVbRqf8ge6KBLpwtv+/O1E7KMSHUCRpEBFwbA+2BUg6KRAAaGu/ivRGVpV8NRTT9mJJ55ozZo1sx49eriKG/2Mkmqa0qrkqKj1gypLtNCgpmeqzYemj2l7CpTCqxqkd+/eLnF4zz33uKv8d999t0WDApjTTjvNJU9VBaFgRq9ZUwWjQVP9NGVTU0pVCaHEsyqcVOGgkwwFP5rW6UcnIZp+qalxuVlcVD0FvT59XpWV15NQfftCKWBVgK/KKC9YD6dKFVXnaOEaBcqLFy92gWXZsmVdC5+cTsAUdGp6rU4YVQ2iaZo6XjU+VZ0oKFYFx7Bhw1ywqp6BH3/8cZ4rObxWNFo0SCddCua0UGpu978qO3SsaHFQ7QstEDR27Fg3vtzMYlA1mBaZ1UmR+nGqD6N+t0IraXRS5VXFaH+qqkRtZsJ7VuYXPZ8qZPSadCKjfarfX50wqaIm2rSfdbyq+kknTDpZ1wmvxqkLElrUSVPqAQCItVg5t/Y3vvDiGsXVimcUuyieyo/PTsWVio9yWlxUyWvFZHqstquf08UFxU+KLbUgYX7ENooRFbepr7na66giWZXNijsVR2qBThVmaD8oYawLAKog1yzDJ5980lXoerG/Yhy1edG+0Pumn/Gj16Bzl/xOouu4UaysRK4uQOhCjZLCmnmpeFTxvGJfxY06zvSaFaMqZlN8pvGrrYvic73POgdTmxzNXNAxHErHhY4HxbraZ4rbdSwo/gx/DxQDq7BD+02xqhLd2n96/TqG/OiY03utGFKPU0JcC7vqdek903uvY0QLwGqfK7bWLMzQpLVfnK7nfuyxx1wLRxX0qG+2fgfVNim0z7yomlznHvq/EvhKqHuzPkN5/dW1vzVetRHRbFedBynmz01cn9P5pI51Vcfr/EyvSRcCdM51oG1R/Kh9i94H/W7r3FB/P5SwPtBe5vlJ740W+9Wxod8B/S7q2FWLG80K1r9RzAQAoAgZN26cPqWDX0lJSYFq1aoFTj/99MDjjz8eyMjIiPhzv/32W+CKK65wj01MTAwcfPDBgbPPPjvw5ptvZnrchg0bAr1793b3a9s1a9YMdOvWLbB+/Xp3/+eff+6e94033sj0c3fccYe7/cknn/Qd+++//+4eo9fg0bbLlSuX5bFt2rQJNGnSJMvtderUCZx11llZ9scXX3wRuPbaawMVK1YMpKSkBC677DL3WrL72fD7NJbw7X7zzTeZHjdgwAB3+7p16zLd7vc6xowZEzjqqKMCZcqUCaSmpgaaNWvm9tXq1asD2fH2VeiYshN6TIR/hZs2bZq7fdSoUb7b07F07LHHBipVqhRISEgIVK9ePXD55ZcHli1bFsitL7/80h2Xet3aN82bNw888cQTwfv//PPPwHnnnReoUKFCoHz58oGLLrrI7ReNTfs5p30ue/bsCfTp0ydQpUqVQIkSJbK83pz2//z58wOdO3cO1K5dO5CcnBw46KCD3O/Ft99+m+Pr846njz76yL02/XyjRo2y/G7s2LEjcNttt7l9qHGccMIJgTlz5rhjXF8ev9+t3Iwh1L59+wIPPvigu09jOuKIIwJTp051x5JuCz/Ghg8fnunn/cYR6Xci/DVE+h333r9wb731VuDEE090x4a+tO969eoVWLp0aa5fPwAAhRkr+8WH3men/p+X+CI85pFBgwa55y5ZsqS7X5+t+fHZqW2FfmZnZ+XKlW5fKL7S+OvXr++eZ+fOnfka24wdO9Ztu1SpUpn2n/ez7du3dzFi6dKlAw0aNAhceeWVwX2ocxONSftA+0KPa9WqVeD111/P9rX17ds30Lhx40Bu+Z2ThMdVolj16quvDu63Fi1aBCZOnOju27RpU+CWW24J1KtXzx2TVatWddtWPK7YLfQ4bNu2rft5Pebuu+8OTJ8+Pcv+kdGjR7vt6bF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",
       "text/plain": [
        "<Figure size 1500x500 with 2 Axes>"
       ]
@@ -163,7 +206,16 @@
   {
    "cell_type": "markdown",
    "id": "534e348a",
-   "metadata": {},
+   "metadata": {
+    "papermill": {
+     "duration": 0.001775,
+     "end_time": "2026-10-23T14:49:02.608602+00:00",
+     "exception": false,
+     "start_time": "2026-10-23T14:49:02.606827+00:00",
+     "status": "completed"
+    },
+    "tags": []
+   },
    "source": [
     "## 3. Le rendeur de carte : une carte = une ligne de taxonomie\n",
     "\n",
@@ -180,11 +232,19 @@
    "id": "a300fd33",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-11T11:22:32.521739Z",
-     "iopub.status.busy": "2026-08-11T11:22:32.521245Z",
-     "iopub.status.idle": "2026-08-11T11:22:32.528378Z",
-     "shell.execute_reply": "2026-08-11T11:22:32.527956Z"
-    }
+     "iopub.execute_input": "2026-10-23T14:49:02.613041Z",
+     "iopub.status.busy": "2026-10-23T14:49:02.612801Z",
+     "iopub.status.idle": "2026-10-23T14:49:02.619712Z",
+     "shell.execute_reply": "2026-10-23T14:49:02.619229Z"
+    },
+    "papermill": {
+     "duration": 0.009893,
+     "end_time": "2026-10-23T14:49:02.620148+00:00",
+     "exception": false,
+     "start_time": "2026-10-23T14:49:02.610255+00:00",
+     "status": "completed"
+    },
+    "tags": []
    },
    "outputs": [
     {
@@ -290,7 +350,16 @@
   {
    "cell_type": "markdown",
    "id": "ce5a9ca2",
-   "metadata": {},
+   "metadata": {
+    "papermill": {
+     "duration": 0.001914,
+     "end_time": "2026-10-23T14:49:02.623905+00:00",
+     "exception": false,
+     "start_time": "2026-10-23T14:49:02.621991+00:00",
+     "status": "completed"
+    },
+    "tags": []
+   },
    "source": [
     "## 4. Carte et sous-arbre : la carte comme porte d'entrée\n",
     "\n",
@@ -299,7 +368,7 @@
     "(et pour l'entraînement PT de l'EPIC #10355), c'est cette structure hiérarchique qui\n",
     "justifie le workflow *« on part du général, et on descend dans l'arbre »*.\n",
     "\n",
-    "Exemple : la carte `Insuffisance` (path=`1`) a 3 enfants cartes (`Généralisation hâtive`,\n",
+    "Exemple : la carte `Insuffisance` (path=`1`) a 3 enfants cartes (`Argument bâclé`,\n",
     "`Préjugé`, `Surinterprétation`), chacun pouvant être à son tour raffiné."
    ]
   },
@@ -309,11 +378,19 @@
    "id": "1012009f",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-11T11:22:32.531672Z",
-     "iopub.status.busy": "2026-08-11T11:22:32.531358Z",
-     "iopub.status.idle": "2026-08-11T11:22:32.540255Z",
-     "shell.execute_reply": "2026-08-11T11:22:32.539436Z"
-    }
+     "iopub.execute_input": "2026-10-23T14:49:02.628821Z",
+     "iopub.status.busy": "2026-10-23T14:49:02.628619Z",
+     "iopub.status.idle": "2026-10-23T14:49:02.636419Z",
+     "shell.execute_reply": "2026-10-23T14:49:02.635856Z"
+    },
+    "papermill": {
+     "duration": 0.011054,
+     "end_time": "2026-10-23T14:49:02.636875+00:00",
+     "exception": false,
+     "start_time": "2026-10-23T14:49:02.625821+00:00",
+     "status": "completed"
+    },
+    "tags": []
    },
    "outputs": [
     {
@@ -324,10 +401,10 @@
       "(les [CARTE] sont les nœuds sélectionnés dans le deck imprimé)\n",
       "\n",
       "[CARTE] Insuffisance  (path=1)\n",
-      "  [CARTE] Généralisation hâtive  (path=1.1)\n",
+      "  [CARTE] Argument bâclé  (path=1.1)\n",
       "    [CARTE] Argument vide  (path=1.1.1)\n",
-      "              Appel à l'ignorance  (path=1.1.1.1)\n",
-      "              Appel à l'urgence pragmatique  (path=1.1.1.2)\n",
+      "              Appel à l’ignorance  (path=1.1.1.1)\n",
+      "              Appel à l’urgence pragmatique  (path=1.1.1.2)\n",
       "              Acte de foi  (path=1.1.1.3)\n",
       "              Pensée clichée  (path=1.1.1.4)\n",
       "    [CARTE] Justification triviale  (path=1.1.2)\n",
@@ -335,17 +412,17 @@
       "      [CARTE] Pratique courante  (path=1.1.2.2)\n",
       "      [CARTE] Sophisme du psychologue  (path=1.1.2.3)\n",
       "    [CARTE] Sauvetage ad hoc  (path=1.1.3)\n",
-      "              Le marteau d'or  (path=1.1.3.1)\n",
+      "              Le marteau d’or  (path=1.1.3.1)\n",
       "              Argument par le scénario  (path=1.1.3.2)\n",
       "              Trouver des excuses  (path=1.1.3.3)\n",
       "              Effet rebond  (path=1.1.3.4)\n",
       "              Argument sorti de nulle part  (path=1.1.3.5)\n",
       "  [CARTE] Préjugé  (path=1.2)\n",
-      "    [CARTE] Argument d'autorité  (path=1.2.1)\n",
+      "    [CARTE] Argument d’autorité  (path=1.2.1)\n",
       "              Argument de pouvoir  (path=1.2.1.1)\n",
       "      [CARTE] Appel au respect  (path=1.2.1.2)\n",
       "              Ultracrépidarianisme  (path=1.2.1.3)\n",
-      "    [CARTE] Appel à la nature  (path=1.2.2)\n",
+      "            Sophisme naturaliste  (path=1.2.2)\n",
       "              Appel à la coutume  (path=1.2.2.1)\n",
       "      [CARTE] Appel à la majorité  (path=1.2.2.2)\n",
       "      [CARTE] Appel à la tradition  (path=1.2.2.3)\n",
@@ -355,11 +432,11 @@
       "              Appel à la nouveauté  (path=1.2.3.2)\n",
       "              Supériorité morale  (path=1.2.3.3)\n",
       "              Forme sans fond  (path=1.2.3.4)\n",
-      "              Appel à l'argent  (path=1.2.3.5)\n",
+      "              Appel à l’argent  (path=1.2.3.5)\n",
       "              Appel à la loi  (path=1.2.3.6)\n",
       "              Capacitisme  (path=1.2.3.7)\n",
       "  [CARTE] Surinterprétation  (path=1.3)\n",
-      "    [CARTE] Sophisme du jeu  (path=1.3.1)\n",
+      "    [CARTE] Sophisme ludique  (path=1.3.1)\n",
       "              Simplification abusive  (path=1.3.1.1)\n",
       "              Biais rétrospectif  (path=1.3.1.2)\n",
       "              Biais temporels et spatiaux  (path=1.3.1.3)\n",
@@ -367,9 +444,9 @@
       "    [CARTE] Argument des mauvaises raisons  (path=1.3.2)\n",
       "      [CARTE] Sophisme du sophisme  (path=1.3.2.1)\n",
       "              Appel au bénéficiaire  (path=1.3.2.2)\n",
-      "              Appel à l'intention  (path=1.3.2.3)\n",
+      "              Appel à l’intention  (path=1.3.2.3)\n",
       "    [CARTE] Manque de parcimonie  (path=1.3.3)\n",
-      "              Manquement au rasoir d'Hanlon  (path=1.3.3.1)\n",
+      "              Manquement au rasoir d’Hanlon  (path=1.3.3.1)\n",
       "              Manquement au principe de charité  (path=1.3.3.2)\n",
       "              Manquement au canon de Morgan  (path=1.3.3.3)\n",
       "              Apophénie  (path=1.3.3.4)\n"
@@ -411,7 +488,16 @@
   {
    "cell_type": "markdown",
    "id": "686e957a",
-   "metadata": {},
+   "metadata": {
+    "papermill": {
+     "duration": 0.001959,
+     "end_time": "2026-10-23T14:49:02.640927+00:00",
+     "exception": false,
+     "start_time": "2026-10-23T14:49:02.638968+00:00",
+     "status": "completed"
+    },
+    "tags": []
+   },
    "source": [
     "### Interprétation : la carte comme unité pédagogique et cible d'entraînement\n",
     "\n",
@@ -435,7 +521,16 @@
   {
    "cell_type": "markdown",
    "id": "7d51f1f6",
-   "metadata": {},
+   "metadata": {
+    "papermill": {
+     "duration": 0.001779,
+     "end_time": "2026-10-23T14:49:02.644554+00:00",
+     "exception": false,
+     "start_time": "2026-10-23T14:49:02.642775+00:00",
+     "status": "completed"
+    },
+    "tags": []
+   },
    "source": [
     "## 5. Exercice : recherche de cartes par mot-clé\n",
     "\n",
@@ -451,11 +546,19 @@
    "id": "9756babb",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-11T11:22:32.543296Z",
-     "iopub.status.busy": "2026-08-11T11:22:32.542928Z",
-     "iopub.status.idle": "2026-08-11T11:22:32.547084Z",
-     "shell.execute_reply": "2026-08-11T11:22:32.546372Z"
-    }
+     "iopub.execute_input": "2026-10-23T14:49:02.649591Z",
+     "iopub.status.busy": "2026-10-23T14:49:02.649311Z",
+     "iopub.status.idle": "2026-10-23T14:49:02.653015Z",
+     "shell.execute_reply": "2026-10-23T14:49:02.652463Z"
+    },
+    "papermill": {
+     "duration": 0.006897,
+     "end_time": "2026-10-23T14:49:02.653467+00:00",
+     "exception": false,
+     "start_time": "2026-10-23T14:49:02.646570+00:00",
+     "status": "completed"
+    },
+    "tags": []
    },
    "outputs": [],
    "source": [
@@ -478,7 +581,16 @@
   {
    "cell_type": "markdown",
    "id": "c71e5d10",
-   "metadata": {},
+   "metadata": {
+    "papermill": {
+     "duration": 0.00207,
+     "end_time": "2026-10-23T14:49:02.657723+00:00",
+     "exception": false,
+     "start_time": "2026-10-23T14:49:02.655653+00:00",
+     "status": "completed"
+    },
+    "tags": []
+   },
    "source": [
     "## 7.1. Exercice — compter les cartes par profondeur\n",
     "\n",
@@ -497,11 +609,19 @@
    "id": "e4261ebe",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-11T11:22:32.549970Z",
-     "iopub.status.busy": "2026-08-11T11:22:32.549688Z",
-     "iopub.status.idle": "2026-08-11T11:22:32.553919Z",
-     "shell.execute_reply": "2026-08-11T11:22:32.553167Z"
-    }
+     "iopub.execute_input": "2026-10-23T14:49:02.662441Z",
+     "iopub.status.busy": "2026-10-23T14:49:02.662281Z",
+     "iopub.status.idle": "2026-10-23T14:49:02.665909Z",
+     "shell.execute_reply": "2026-10-23T14:49:02.665120Z"
+    },
+    "papermill": {
+     "duration": 0.006782,
+     "end_time": "2026-10-23T14:49:02.666448+00:00",
+     "exception": false,
+     "start_time": "2026-10-23T14:49:02.659666+00:00",
+     "status": "completed"
+    },
+    "tags": []
    },
    "outputs": [],
    "source": [
@@ -523,11 +643,19 @@
    "id": "1715ebc3",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-11T11:22:32.556470Z",
-     "iopub.status.busy": "2026-08-11T11:22:32.556223Z",
-     "iopub.status.idle": "2026-08-11T11:22:32.559198Z",
-     "shell.execute_reply": "2026-08-11T11:22:32.558607Z"
-    }
+     "iopub.execute_input": "2026-10-23T14:49:02.671383Z",
+     "iopub.status.busy": "2026-10-23T14:49:02.671146Z",
+     "iopub.status.idle": "2026-10-23T14:49:02.674136Z",
+     "shell.execute_reply": "2026-10-23T14:49:02.673623Z"
+    },
+    "papermill": {
+     "duration": 0.006091,
+     "end_time": "2026-10-23T14:49:02.674623+00:00",
+     "exception": false,
+     "start_time": "2026-10-23T14:49:02.668532+00:00",
+     "status": "completed"
+    },
+    "tags": []
    },
    "outputs": [],
    "source": [
@@ -540,7 +668,16 @@
   {
    "cell_type": "markdown",
    "id": "e6394521",
-   "metadata": {},
+   "metadata": {
+    "papermill": {
+     "duration": 0.001974,
+     "end_time": "2026-10-23T14:49:02.678732+00:00",
+     "exception": false,
+     "start_time": "2026-10-23T14:49:02.676758+00:00",
+     "status": "completed"
+    },
+    "tags": []
+   },
    "source": [
     "## 7.2. Exercice — remonter d'un sophisme feuille vers sa carte ancêtre\n",
     "\n",
@@ -560,11 +697,19 @@
    "id": "09ea2b7a",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-11T11:22:32.561914Z",
-     "iopub.status.busy": "2026-08-11T11:22:32.561659Z",
-     "iopub.status.idle": "2026-08-11T11:22:32.565385Z",
-     "shell.execute_reply": "2026-08-11T11:22:32.564718Z"
-    }
+     "iopub.execute_input": "2026-10-23T14:49:02.683967Z",
+     "iopub.status.busy": "2026-10-23T14:49:02.683757Z",
+     "iopub.status.idle": "2026-10-23T14:49:02.686913Z",
+     "shell.execute_reply": "2026-10-23T14:49:02.686315Z"
+    },
+    "papermill": {
+     "duration": 0.006763,
+     "end_time": "2026-10-23T14:49:02.687376+00:00",
+     "exception": false,
+     "start_time": "2026-10-23T14:49:02.680613+00:00",
+     "status": "completed"
+    },
+    "tags": []
    },
    "outputs": [],
    "source": [
@@ -589,11 +734,19 @@
    "id": "adb3ca75",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-11T11:22:32.568529Z",
-     "iopub.status.busy": "2026-08-11T11:22:32.568050Z",
-     "iopub.status.idle": "2026-08-11T11:22:32.571260Z",
-     "shell.execute_reply": "2026-08-11T11:22:32.570576Z"
-    }
+     "iopub.execute_input": "2026-10-23T14:49:02.692299Z",
+     "iopub.status.busy": "2026-10-23T14:49:02.692142Z",
+     "iopub.status.idle": "2026-10-23T14:49:02.695013Z",
+     "shell.execute_reply": "2026-10-23T14:49:02.694551Z"
+    },
+    "papermill": {
+     "duration": 0.005993,
+     "end_time": "2026-10-23T14:49:02.695440+00:00",
+     "exception": false,
+     "start_time": "2026-10-23T14:49:02.689447+00:00",
+     "status": "completed"
+    },
+    "tags": []
    },
    "outputs": [],
    "source": [
@@ -610,12 +763,21 @@
   {
    "cell_type": "markdown",
    "id": "4a929ad3",
-   "metadata": {},
+   "metadata": {
+    "papermill": {
+     "duration": 0.001977,
+     "end_time": "2026-10-23T14:49:02.699789+00:00",
+     "exception": false,
+     "start_time": "2026-10-23T14:49:02.697812+00:00",
+     "status": "completed"
+    },
+    "tags": []
+   },
    "source": [
     "## 8. Conclusion et ponts\n",
     "\n",
     "- **Une carte = une ligne de taxonomie** : le rendu est mécanique, reproductible, bilingue. Aucune information n'est inventée — tout provient du CSV canonique.\n",
-    "- **176 cartes sur 1408 nœuds** (12,5 %), réparties sur 7 familles, ~25 par famille.\n",
+    "- **175 cartes sur 1408 nœuds** (12,4 %), réparties sur 7 familles, ~25 par famille.\n",
     "- **La carte est un nœud interne** : elle ouvre un sous-arbre de sophismes spécifiques. C'est cette structure hiérarchique que le PostTraining (EPIC #10355) exploitera comme workflow.\n",
     "\n",
     "**Ponts avec la série** :\n",
@@ -644,9 +806,21 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.13.3"
+   "version": "3.13.14"
+  },
+  "papermill": {
+   "default_parameters": {},
+   "duration": 2.668295,
+   "end_time": "2026-10-23T14:49:02.944601+00:00",
+   "environment_variables": {},
+   "exception": null,
+   "input_path": "Argumentation-02b-Argumentum-Cards-Python.ipynb",
+   "output_path": "Argumentation-02b-Argumentum-Cards-Python.ipynb",
+   "parameters": {},
+   "start_time": "2026-10-23T14:49:00.276306+00:00",
+   "version": "2.7.0"
   }
  },
  "nbformat": 4,
  "nbformat_minor": 5
-}
+}
\ No newline at end of file
diff --git a/MyIA.AI.Notebooks/SymbolicAI/Argument_Analysis/Argumentation-Onto-02-CrossLinks-CSV-Python.ipynb b/MyIA.AI.Notebooks/SymbolicAI/Argument_Analysis/Argumentation-Onto-02-CrossLinks-CSV-Python.ipynb
index b25df22cb1..9b4e3126b6 100644
--- a/MyIA.AI.Notebooks/SymbolicAI/Argument_Analysis/Argumentation-Onto-02-CrossLinks-CSV-Python.ipynb
+++ b/MyIA.AI.Notebooks/SymbolicAI/Argument_Analysis/Argumentation-Onto-02-CrossLinks-CSV-Python.ipynb
@@ -5,10 +5,10 @@
    "id": "fea709ae",
    "metadata": {
     "papermill": {
-     "duration": 0.006051,
-     "end_time": "2026-07-10T07:59:27.067949+00:00",
+     "duration": 0.007102,
+     "end_time": "2026-10-23T14:49:06.080017+00:00",
      "exception": false,
-     "start_time": "2026-07-10T07:59:27.061898+00:00",
+     "start_time": "2026-10-23T14:49:06.072915+00:00",
      "status": "completed"
     },
     "tags": []
@@ -57,10 +57,10 @@
    "id": "1d25090a",
    "metadata": {
     "papermill": {
-     "duration": 0.005979,
-     "end_time": "2026-07-10T07:59:27.078932+00:00",
+     "duration": 0.005827,
+     "end_time": "2026-10-23T14:49:06.091352+00:00",
      "exception": false,
-     "start_time": "2026-07-10T07:59:27.072953+00:00",
+     "start_time": "2026-10-23T14:49:06.085525+00:00",
      "status": "completed"
     },
     "tags": []
@@ -86,10 +86,10 @@
    "id": "24cbc6fd",
    "metadata": {
     "papermill": {
-     "duration": 0.004108,
-     "end_time": "2026-07-10T07:59:27.087343+00:00",
+     "duration": 0.007506,
+     "end_time": "2026-10-23T14:49:06.104410+00:00",
      "exception": false,
-     "start_time": "2026-07-10T07:59:27.083235+00:00",
+     "start_time": "2026-10-23T14:49:06.096904+00:00",
      "status": "completed"
     },
     "tags": []
@@ -106,14 +106,29 @@
    "cell_type": "code",
    "execution_count": 1,
    "id": "b38e1f64",
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-10-23T14:49:06.111678Z",
+     "iopub.status.busy": "2026-10-23T14:49:06.111455Z",
+     "iopub.status.idle": "2026-10-23T14:49:06.209636Z",
+     "shell.execute_reply": "2026-10-23T14:49:06.208919Z"
+    },
+    "papermill": {
+     "duration": 0.102424,
+     "end_time": "2026-10-23T14:49:06.210192+00:00",
+     "exception": false,
+     "start_time": "2026-10-23T14:49:06.107768+00:00",
+     "status": "completed"
+    },
+    "tags": []
+   },
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Submodule Argumentum : 7cf486169172 (2026-09-26)\n",
-      "CSV canonique : sha1 5ce7a2ec7457, 1546 lignes physiques, 4,172,640 octets\n"
+      "Submodule Argumentum : c5fb8237c4e5 (2026-10-23)\n",
+      "CSV canonique : sha1 09bed88578df, 1526 lignes physiques, 4,178,551 octets\n"
      ]
     }
    ],
@@ -137,7 +152,8 @@
     "\n",
     "def _git(*args: str) -> str:\n",
     "    return subprocess.run(['git', '-C', str(SUBMODULE_DIR), *args],\n",
-    "                          capture_output=True, text=True).stdout.strip()\n",
+    "                          capture_output=True, text=True,\n",
+    "                          encoding='utf-8', errors='replace').stdout.strip()\n",
     "\n",
     "SUB_SHA = _git('rev-parse', 'HEAD')[:12] or 'submodule non initialise'\n",
     "print(f'Submodule Argumentum : {SUB_SHA} ({_git(\"log\", \"-1\", \"--format=%cs\") or \"?\"})')\n",
@@ -155,16 +171,16 @@
    "id": "6c5b3cff",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-07-10T07:59:27.096748Z",
-     "iopub.status.busy": "2026-07-10T07:59:27.096748Z",
-     "iopub.status.idle": "2026-07-10T07:59:30.220178Z",
-     "shell.execute_reply": "2026-07-10T07:59:30.218473Z"
+     "iopub.execute_input": "2026-10-23T14:49:06.215847Z",
+     "iopub.status.busy": "2026-10-23T14:49:06.215615Z",
+     "iopub.status.idle": "2026-10-23T14:49:06.595300Z",
+     "shell.execute_reply": "2026-10-23T14:49:06.594712Z"
     },
     "papermill": {
-     "duration": 3.130805,
-     "end_time": "2026-07-10T07:59:30.222089+00:00",
+     "duration": 0.383359,
+     "end_time": "2026-10-23T14:49:06.595986+00:00",
      "exception": false,
-     "start_time": "2026-07-10T07:59:27.091284+00:00",
+     "start_time": "2026-10-23T14:49:06.212627+00:00",
      "status": "completed"
     },
     "tags": []
@@ -176,7 +192,7 @@
      "text": [
       "Loaded: 1408 rows, 104 columns\n",
       "Source: Argumentum Fallacies - Taxonomy.csv\n",
-      "Size on disk: 4074.8 KB\n",
+      "Size on disk: 4080.6 KB\n",
       "\n",
       "--- Column types ---\n",
       "object     89\n",
@@ -217,10 +233,10 @@
    "id": "338e1cdd",
    "metadata": {
     "papermill": {
-     "duration": 0.003172,
-     "end_time": "2026-07-10T07:59:30.228658+00:00",
+     "duration": 0.002047,
+     "end_time": "2026-10-23T14:49:06.600403+00:00",
      "exception": false,
-     "start_time": "2026-07-10T07:59:30.225486+00:00",
+     "start_time": "2026-10-23T14:49:06.598356+00:00",
      "status": "completed"
     },
     "tags": []
@@ -249,16 +265,16 @@
    "id": "d9579d62",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-07-10T07:59:30.236666Z",
-     "iopub.status.busy": "2026-07-10T07:59:30.236666Z",
-     "iopub.status.idle": "2026-07-10T07:59:32.583226Z",
-     "shell.execute_reply": "2026-07-10T07:59:32.581569Z"
+     "iopub.execute_input": "2026-10-23T14:49:06.606376Z",
+     "iopub.status.busy": "2026-10-23T14:49:06.606013Z",
+     "iopub.status.idle": "2026-10-23T14:49:07.256221Z",
+     "shell.execute_reply": "2026-10-23T14:49:07.255770Z"
     },
     "papermill": {
-     "duration": 2.352766,
-     "end_time": "2026-07-10T07:59:32.584570+00:00",
+     "duration": 0.654649,
+     "end_time": "2026-10-23T14:49:07.257307+00:00",
      "exception": false,
-     "start_time": "2026-07-10T07:59:30.231804+00:00",
+     "start_time": "2026-10-23T14:49:06.602658+00:00",
      "status": "completed"
     },
     "tags": []
@@ -266,7 +282,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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",
       "text/plain": [
        "<Figure size 1500x500 with 2 Axes>"
       ]
@@ -321,10 +337,10 @@
    "id": "c623a161",
    "metadata": {
     "papermill": {
-     "duration": 0.003821,
-     "end_time": "2026-07-10T07:59:32.592450+00:00",
+     "duration": 0.004663,
+     "end_time": "2026-10-23T14:49:07.266875+00:00",
      "exception": false,
-     "start_time": "2026-07-10T07:59:32.588629+00:00",
+     "start_time": "2026-10-23T14:49:07.262212+00:00",
      "status": "completed"
     },
     "tags": []
@@ -355,10 +371,10 @@
    "id": "1344dd27",
    "metadata": {
     "papermill": {
-     "duration": 0.003838,
-     "end_time": "2026-07-10T07:59:32.600371+00:00",
+     "duration": 0.005045,
+     "end_time": "2026-10-23T14:49:07.276456+00:00",
      "exception": false,
-     "start_time": "2026-07-10T07:59:32.596533+00:00",
+     "start_time": "2026-10-23T14:49:07.271411+00:00",
      "status": "completed"
     },
     "tags": []
@@ -375,16 +391,16 @@
    "id": "f52748f3",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-07-10T07:59:32.611039Z",
-     "iopub.status.busy": "2026-07-10T07:59:32.610524Z",
-     "iopub.status.idle": "2026-07-10T07:59:33.121810Z",
-     "shell.execute_reply": "2026-07-10T07:59:33.119523Z"
+     "iopub.execute_input": "2026-10-23T14:49:07.285520Z",
+     "iopub.status.busy": "2026-10-23T14:49:07.285266Z",
+     "iopub.status.idle": "2026-10-23T14:49:07.443521Z",
+     "shell.execute_reply": "2026-10-23T14:49:07.442988Z"
     },
     "papermill": {
-     "duration": 0.518536,
-     "end_time": "2026-07-10T07:59:33.123138+00:00",
+     "duration": 0.162163,
+     "end_time": "2026-10-23T14:49:07.443892+00:00",
      "exception": false,
-     "start_time": "2026-07-10T07:59:32.604602+00:00",
+     "start_time": "2026-10-23T14:49:07.281729+00:00",
      "status": "completed"
     },
     "tags": []
@@ -392,7 +408,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 1000x500 with 1 Axes>"
       ]
@@ -442,10 +458,10 @@
    "id": "1016a8e9",
    "metadata": {
     "papermill": {
-     "duration": 0.004798,
-     "end_time": "2026-07-10T07:59:33.132693+00:00",
+     "duration": 0.002569,
+     "end_time": "2026-10-23T14:49:07.449338+00:00",
      "exception": false,
-     "start_time": "2026-07-10T07:59:33.127895+00:00",
+     "start_time": "2026-10-23T14:49:07.446769+00:00",
      "status": "completed"
     },
     "tags": []
@@ -469,16 +485,16 @@
    "id": "0d1973ae",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-07-10T07:59:33.144620Z",
-     "iopub.status.busy": "2026-07-10T07:59:33.144036Z",
-     "iopub.status.idle": "2026-07-10T07:59:33.167131Z",
-     "shell.execute_reply": "2026-07-10T07:59:33.165644Z"
+     "iopub.execute_input": "2026-10-23T14:49:07.455793Z",
+     "iopub.status.busy": "2026-10-23T14:49:07.455636Z",
+     "iopub.status.idle": "2026-10-23T14:49:07.464023Z",
+     "shell.execute_reply": "2026-10-23T14:49:07.463510Z"
     },
     "papermill": {
-     "duration": 0.031098,
-     "end_time": "2026-07-10T07:59:33.168854+00:00",
+     "duration": 0.012222,
+     "end_time": "2026-10-23T14:49:07.464452+00:00",
      "exception": false,
-     "start_time": "2026-07-10T07:59:33.137756+00:00",
+     "start_time": "2026-10-23T14:49:07.452230+00:00",
      "status": "completed"
     },
     "tags": []
@@ -560,10 +576,10 @@
    "id": "e84f2931",
    "metadata": {
     "papermill": {
-     "duration": 0.004689,
-     "end_time": "2026-07-10T07:59:33.178421+00:00",
+     "duration": 0.002935,
+     "end_time": "2026-10-23T14:49:07.470663+00:00",
      "exception": false,
-     "start_time": "2026-07-10T07:59:33.173732+00:00",
+     "start_time": "2026-10-23T14:49:07.467728+00:00",
      "status": "completed"
     },
     "tags": []
@@ -597,16 +613,16 @@
    "id": "1c85c591",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-07-10T07:59:33.189150Z",
-     "iopub.status.busy": "2026-07-10T07:59:33.188634Z",
-     "iopub.status.idle": "2026-07-10T07:59:33.892673Z",
-     "shell.execute_reply": "2026-07-10T07:59:33.891042Z"
+     "iopub.execute_input": "2026-10-23T14:49:07.477229Z",
+     "iopub.status.busy": "2026-10-23T14:49:07.477044Z",
+     "iopub.status.idle": "2026-10-23T14:49:07.736366Z",
+     "shell.execute_reply": "2026-10-23T14:49:07.735704Z"
     },
     "papermill": {
-     "duration": 0.711338,
-     "end_time": "2026-07-10T07:59:33.894262+00:00",
+     "duration": 0.264486,
+     "end_time": "2026-10-23T14:49:07.737852+00:00",
      "exception": false,
-     "start_time": "2026-07-10T07:59:33.182924+00:00",
+     "start_time": "2026-10-23T14:49:07.473366+00:00",
      "status": "completed"
     },
     "tags": []
@@ -614,7 +630,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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       "text/plain": [
        "<Figure size 1500x400 with 2 Axes>"
       ]
@@ -682,10 +698,10 @@
    "id": "ac9eec91",
    "metadata": {
     "papermill": {
-     "duration": 0.004652,
-     "end_time": "2026-07-10T07:59:33.904777+00:00",
+     "duration": 0.0029,
+     "end_time": "2026-10-23T14:49:07.746327+00:00",
      "exception": false,
-     "start_time": "2026-07-10T07:59:33.900125+00:00",
+     "start_time": "2026-10-23T14:49:07.743427+00:00",
      "status": "completed"
     },
     "tags": []
@@ -714,16 +730,16 @@
    "id": "a87dac2e",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-07-10T07:59:33.918888Z",
-     "iopub.status.busy": "2026-07-10T07:59:33.918355Z",
-     "iopub.status.idle": "2026-07-10T07:59:34.701960Z",
-     "shell.execute_reply": "2026-07-10T07:59:34.699857Z"
+     "iopub.execute_input": "2026-10-23T14:49:07.754036Z",
+     "iopub.status.busy": "2026-10-23T14:49:07.753760Z",
+     "iopub.status.idle": "2026-10-23T14:49:08.374556Z",
+     "shell.execute_reply": "2026-10-23T14:49:08.374031Z"
     },
     "papermill": {
-     "duration": 0.793427,
-     "end_time": "2026-07-10T07:59:34.703457+00:00",
+     "duration": 0.626035,
+     "end_time": "2026-10-23T14:49:08.375136+00:00",
      "exception": false,
-     "start_time": "2026-07-10T07:59:33.910030+00:00",
+     "start_time": "2026-10-23T14:49:07.749101+00:00",
      "status": "completed"
     },
     "tags": []
@@ -731,7 +747,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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",
       "text/plain": [
        "<Figure size 1100x500 with 1 Axes>"
       ]
@@ -743,7 +759,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "--- Substance CSV <-> OWL (mesuree, submodule 7cf4861) ---\n",
+      "--- Substance CSV <-> OWL (mesuree, submodule c5fb823) ---\n",
       "  CSV sophismes canoniques           : 1,408\n",
       "  CrossLink cellules (CSV)           : 539 (487 sophismes = 34.6 %)\n",
       "  AIF attack (CSV)                   : 145 {'undercut': 87, 'undermine': 53, 'rebut': 5}\n",
@@ -812,10 +828,10 @@
    "id": "67449124",
    "metadata": {
     "papermill": {
-     "duration": 0.005834,
-     "end_time": "2026-07-10T07:59:34.715377+00:00",
+     "duration": 0.003217,
+     "end_time": "2026-10-23T14:49:08.381765+00:00",
      "exception": false,
-     "start_time": "2026-07-10T07:59:34.709543+00:00",
+     "start_time": "2026-10-23T14:49:08.378548+00:00",
      "status": "completed"
     },
     "tags": []
@@ -841,16 +857,16 @@
    "id": "e1ae33de",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-07-10T07:59:34.729136Z",
-     "iopub.status.busy": "2026-07-10T07:59:34.728602Z",
-     "iopub.status.idle": "2026-07-10T07:59:35.620548Z",
-     "shell.execute_reply": "2026-07-10T07:59:35.618886Z"
+     "iopub.execute_input": "2026-10-23T14:49:08.389878Z",
+     "iopub.status.busy": "2026-10-23T14:49:08.389628Z",
+     "iopub.status.idle": "2026-10-23T14:49:08.704251Z",
+     "shell.execute_reply": "2026-10-23T14:49:08.701369Z"
     },
     "papermill": {
-     "duration": 0.901026,
-     "end_time": "2026-07-10T07:59:35.622435+00:00",
+     "duration": 0.321746,
+     "end_time": "2026-10-23T14:49:08.707417+00:00",
      "exception": false,
-     "start_time": "2026-07-10T07:59:34.721409+00:00",
+     "start_time": "2026-10-23T14:49:08.385671+00:00",
      "status": "completed"
     },
     "tags": []
@@ -858,7 +874,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 1000x700 with 1 Axes>"
       ]
@@ -929,10 +945,10 @@
    "id": "c25f3da1",
    "metadata": {
     "papermill": {
-     "duration": 0.007907,
-     "end_time": "2026-07-10T07:59:35.637462+00:00",
+     "duration": 0.050646,
+     "end_time": "2026-10-23T14:49:08.779667+00:00",
      "exception": false,
-     "start_time": "2026-07-10T07:59:35.629555+00:00",
+     "start_time": "2026-10-23T14:49:08.729021+00:00",
      "status": "completed"
     },
     "tags": []
@@ -957,16 +973,16 @@
    "id": "f98a3f3f",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-07-10T07:59:35.654472Z",
-     "iopub.status.busy": "2026-07-10T07:59:35.653964Z",
-     "iopub.status.idle": "2026-07-10T07:59:36.048582Z",
-     "shell.execute_reply": "2026-07-10T07:59:36.046893Z"
+     "iopub.execute_input": "2026-10-23T14:49:08.827888Z",
+     "iopub.status.busy": "2026-10-23T14:49:08.827466Z",
+     "iopub.status.idle": "2026-10-23T14:49:09.042563Z",
+     "shell.execute_reply": "2026-10-23T14:49:09.040497Z"
     },
     "papermill": {
-     "duration": 0.405224,
-     "end_time": "2026-07-10T07:59:36.049937+00:00",
+     "duration": 0.236463,
+     "end_time": "2026-10-23T14:49:09.044214+00:00",
      "exception": false,
-     "start_time": "2026-07-10T07:59:35.644713+00:00",
+     "start_time": "2026-10-23T14:49:08.807751+00:00",
      "status": "completed"
     },
     "tags": []
@@ -974,7 +990,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 1000x500 with 1 Axes>"
       ]
@@ -989,7 +1005,7 @@
       "--- Coverage analysis ---\n",
       "  AIF mappings:     116 / 1408 (8.2%)\n",
       "  CrossLink:        539 (somme des 8 cols, soit 4.79% de densité)\n",
-      "  État validé:      177 / 1408 (12.6%)\n",
+      "  État validé:      175 / 1408 (12.4%)\n",
       "  Image:             69 / 1408 (4.9%)\n",
       "  Latin named:       25 / 1408 (1.8%)\n"
      ]
@@ -1034,10 +1050,10 @@
    "id": "fdaba1d0",
    "metadata": {
     "papermill": {
-     "duration": 0.005537,
-     "end_time": "2026-07-10T07:59:36.062072+00:00",
+     "duration": 0.00831,
+     "end_time": "2026-10-23T14:49:09.063273+00:00",
      "exception": false,
-     "start_time": "2026-07-10T07:59:36.056535+00:00",
+     "start_time": "2026-10-23T14:49:09.054963+00:00",
      "status": "completed"
     },
     "tags": []
@@ -1054,16 +1070,16 @@
    "id": "95afa396",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-07-10T07:59:36.077118Z",
-     "iopub.status.busy": "2026-07-10T07:59:36.076592Z",
-     "iopub.status.idle": "2026-07-10T07:59:36.094289Z",
-     "shell.execute_reply": "2026-07-10T07:59:36.092604Z"
+     "iopub.execute_input": "2026-10-23T14:49:09.080029Z",
+     "iopub.status.busy": "2026-10-23T14:49:09.079652Z",
+     "iopub.status.idle": "2026-10-23T14:49:09.085424Z",
+     "shell.execute_reply": "2026-10-23T14:49:09.084463Z"
     },
     "papermill": {
-     "duration": 0.027245,
-     "end_time": "2026-07-10T07:59:36.095402+00:00",
+     "duration": 0.014433,
+     "end_time": "2026-10-23T14:49:09.085971+00:00",
      "exception": false,
-     "start_time": "2026-07-10T07:59:36.068157+00:00",
+     "start_time": "2026-10-23T14:49:09.071538+00:00",
      "status": "completed"
     },
     "tags": []
@@ -1095,10 +1111,10 @@
    "id": "1789b490",
    "metadata": {
     "papermill": {
-     "duration": 0.006196,
-     "end_time": "2026-07-10T07:59:36.108159+00:00",
+     "duration": 0.005645,
+     "end_time": "2026-10-23T14:49:09.096961+00:00",
      "exception": false,
-     "start_time": "2026-07-10T07:59:36.101963+00:00",
+     "start_time": "2026-10-23T14:49:09.091316+00:00",
      "status": "completed"
     },
     "tags": []
@@ -1113,16 +1129,16 @@
    "id": "87b99475",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-07-10T07:59:36.124926Z",
-     "iopub.status.busy": "2026-07-10T07:59:36.124400Z",
-     "iopub.status.idle": "2026-07-10T07:59:36.140717Z",
-     "shell.execute_reply": "2026-07-10T07:59:36.138783Z"
+     "iopub.execute_input": "2026-10-23T14:49:09.109266Z",
+     "iopub.status.busy": "2026-10-23T14:49:09.108973Z",
+     "iopub.status.idle": "2026-10-23T14:49:09.112803Z",
+     "shell.execute_reply": "2026-10-23T14:49:09.112146Z"
     },
     "papermill": {
-     "duration": 0.027371,
-     "end_time": "2026-07-10T07:59:36.142101+00:00",
+     "duration": 0.01157,
+     "end_time": "2026-10-23T14:49:09.113650+00:00",
      "exception": false,
-     "start_time": "2026-07-10T07:59:36.114730+00:00",
+     "start_time": "2026-10-23T14:49:09.102080+00:00",
      "status": "completed"
     },
     "tags": []
@@ -1155,10 +1171,10 @@
    "id": "68217e29",
    "metadata": {
     "papermill": {
-     "duration": 0.007122,
-     "end_time": "2026-07-10T07:59:36.155462+00:00",
+     "duration": 0.006954,
+     "end_time": "2026-10-23T14:49:09.125706+00:00",
      "exception": false,
-     "start_time": "2026-07-10T07:59:36.148340+00:00",
+     "start_time": "2026-10-23T14:49:09.118752+00:00",
      "status": "completed"
     },
     "tags": []
@@ -1173,16 +1189,16 @@
    "id": "67fcc4c0",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-07-10T07:59:36.173427Z",
-     "iopub.status.busy": "2026-07-10T07:59:36.172892Z",
-     "iopub.status.idle": "2026-07-10T07:59:36.185700Z",
-     "shell.execute_reply": "2026-07-10T07:59:36.184008Z"
+     "iopub.execute_input": "2026-10-23T14:49:09.137003Z",
+     "iopub.status.busy": "2026-10-23T14:49:09.136630Z",
+     "iopub.status.idle": "2026-10-23T14:49:09.141141Z",
+     "shell.execute_reply": "2026-10-23T14:49:09.140508Z"
     },
     "papermill": {
-     "duration": 0.02372,
-     "end_time": "2026-07-10T07:59:36.186765+00:00",
+     "duration": 0.011896,
+     "end_time": "2026-10-23T14:49:09.142343+00:00",
      "exception": false,
-     "start_time": "2026-07-10T07:59:36.163045+00:00",
+     "start_time": "2026-10-23T14:49:09.130447+00:00",
      "status": "completed"
     },
     "tags": []
@@ -1219,10 +1235,10 @@
    "id": "92ac11fa",
    "metadata": {
     "papermill": {
-     "duration": 0.007431,
-     "end_time": "2026-07-10T07:59:36.201196+00:00",
+     "duration": 0.005452,
+     "end_time": "2026-10-23T14:49:09.153910+00:00",
      "exception": false,
-     "start_time": "2026-07-10T07:59:36.193765+00:00",
+     "start_time": "2026-10-23T14:49:09.148458+00:00",
      "status": "completed"
     },
     "tags": []
@@ -1269,14 +1285,14 @@
   },
   "papermill": {
    "default_parameters": {},
-   "duration": 5.893474,
-   "end_time": "2026-10-01T22:02:26.761169",
+   "duration": 5.229244,
+   "end_time": "2026-10-23T14:49:09.598576+00:00",
    "environment_variables": {},
    "exception": null,
    "input_path": "Argumentation-Onto-02-CrossLinks-CSV-Python.ipynb",
    "output_path": "Argumentation-Onto-02-CrossLinks-CSV-Python.ipynb",
    "parameters": {},
-   "start_time": "2026-10-01T22:02:20.867695",
+   "start_time": "2026-10-23T14:49:04.369332+00:00",
    "version": "2.7.0"
   }
  },
diff --git a/MyIA.AI.Notebooks/SymbolicAI/Argument_Analysis/Argumentation-Onto-03-Vertus-SKOS-Python.ipynb b/MyIA.AI.Notebooks/SymbolicAI/Argument_Analysis/Argumentation-Onto-03-Vertus-SKOS-Python.ipynb
index d4388155c2..ccd78e0144 100644
--- a/MyIA.AI.Notebooks/SymbolicAI/Argument_Analysis/Argumentation-Onto-03-Vertus-SKOS-Python.ipynb
+++ b/MyIA.AI.Notebooks/SymbolicAI/Argument_Analysis/Argumentation-Onto-03-Vertus-SKOS-Python.ipynb
@@ -5,10 +5,10 @@
    "id": "e33a32b5",
    "metadata": {
     "papermill": {
-     "duration": 0.003005,
-     "end_time": "2026-09-22T00:40:33.282623",
+     "duration": 0.004559,
+     "end_time": "2026-10-23T14:49:12.589466+00:00",
      "exception": false,
-     "start_time": "2026-09-22T00:40:33.279618",
+     "start_time": "2026-10-23T14:49:12.584907+00:00",
      "status": "completed"
     },
     "tags": []
@@ -46,10 +46,10 @@
    "id": "822970f5",
    "metadata": {
     "papermill": {
-     "duration": 0.002998,
-     "end_time": "2026-09-22T00:40:33.287789",
+     "duration": 0.004837,
+     "end_time": "2026-10-23T14:49:12.599655+00:00",
      "exception": false,
-     "start_time": "2026-09-22T00:40:33.284791",
+     "start_time": "2026-10-23T14:49:12.594818+00:00",
      "status": "completed"
     },
     "tags": []
@@ -83,10 +83,10 @@
    "id": "16840649",
    "metadata": {
     "papermill": {
-     "duration": 0.002004,
-     "end_time": "2026-09-22T00:40:33.291799",
+     "duration": 0.003748,
+     "end_time": "2026-10-23T14:49:12.613597+00:00",
      "exception": false,
-     "start_time": "2026-09-22T00:40:33.289795",
+     "start_time": "2026-10-23T14:49:12.609849+00:00",
      "status": "completed"
     },
     "tags": []
@@ -102,14 +102,29 @@
    "cell_type": "code",
    "execution_count": 1,
    "id": "a71c0d92",
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2026-10-23T14:49:12.630839Z",
+     "iopub.status.busy": "2026-10-23T14:49:12.629762Z",
+     "iopub.status.idle": "2026-10-23T14:49:12.704918Z",
+     "shell.execute_reply": "2026-10-23T14:49:12.704454Z"
+    },
+    "papermill": {
+     "duration": 0.082955,
+     "end_time": "2026-10-23T14:49:12.705396+00:00",
+     "exception": false,
+     "start_time": "2026-10-23T14:49:12.622441+00:00",
+     "status": "completed"
+    },
+    "tags": []
+   },
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Submodule Argumentum : 7cf486169172 (2026-09-26)\n",
-      "OWL vivant (submodule) : argumentum_virtues.owl, sha1 7feef86c3223, 1,095,353 octets\n"
+      "Submodule Argumentum : c5fb8237c4e5 (2026-10-23)\n",
+      "OWL vivant (submodule) : argumentum_virtues.owl, sha1 fe48b85c6610, 1,094,832 octets\n"
      ]
     }
    ],
@@ -132,7 +147,8 @@
     "\n",
     "def _git(*args: str) -> str:\n",
     "    return subprocess.run(['git', '-C', str(SUBMODULE_DIR), *args],\n",
-    "                          capture_output=True, text=True).stdout.strip()\n",
+    "                          capture_output=True, text=True,\n",
+    "                          encoding='utf-8', errors='replace').stdout.strip()\n",
     "\n",
     "SUB_SHA = _git('rev-parse', 'HEAD')[:12] or 'submodule non initialise'\n",
     "print(f'Submodule Argumentum : {SUB_SHA} ({_git(\"log\", \"-1\", \"--format=%cs\") or \"?\"})')\n",
@@ -149,16 +165,16 @@
    "id": "b5dd1e9b",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-09-22T00:40:33.297794Z",
-     "iopub.status.busy": "2026-09-22T00:40:33.297794Z",
-     "iopub.status.idle": "2026-09-22T00:40:33.550624Z",
-     "shell.execute_reply": "2026-09-22T00:40:33.550089Z"
+     "iopub.execute_input": "2026-10-23T14:49:12.710511Z",
+     "iopub.status.busy": "2026-10-23T14:49:12.710336Z",
+     "iopub.status.idle": "2026-10-23T14:49:13.330427Z",
+     "shell.execute_reply": "2026-10-23T14:49:13.329920Z"
     },
     "papermill": {
-     "duration": 0.257354,
-     "end_time": "2026-09-22T00:40:33.551147",
+     "duration": 0.623706,
+     "end_time": "2026-10-23T14:49:13.331154+00:00",
      "exception": false,
-     "start_time": "2026-09-22T00:40:33.293793",
+     "start_time": "2026-10-23T14:49:12.707448+00:00",
      "status": "completed"
     },
     "tags": []
@@ -170,8 +186,8 @@
      "text": [
       "Source lue : submodule Argumentum (datee ci-dessus)\n",
       "Fichier : argumentum_virtues.owl\n",
-      "Existe  : True (taille = 1,095,353 octets)\n",
-      "Longueur du texte OWL/XML : 1,075,326 caracteres\n",
+      "Existe  : True (taille = 1,094,832 octets)\n",
+      "Longueur du texte OWL/XML : 1,074,816 caracteres\n",
       "\n",
       "[rdflib]    parse direct impossible (TypeError) : le fichier est en OWL/XML\n",
       "            fonctionnel (<Ontology>), pas en RDF/XML -> rdflib ne lit pas cette serialisation.\n"
@@ -242,10 +258,10 @@
    "id": "590f118e",
    "metadata": {
     "papermill": {
-     "duration": 0.002656,
-     "end_time": "2026-09-22T00:40:33.556626",
+     "duration": 0.003577,
+     "end_time": "2026-10-23T14:49:13.338528+00:00",
      "exception": false,
-     "start_time": "2026-09-22T00:40:33.553970",
+     "start_time": "2026-10-23T14:49:13.334951+00:00",
      "status": "completed"
     },
     "tags": []
@@ -260,16 +276,16 @@
    "id": "171b256b",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-09-22T00:40:33.563168Z",
-     "iopub.status.busy": "2026-09-22T00:40:33.563168Z",
-     "iopub.status.idle": "2026-09-22T00:40:33.620365Z",
-     "shell.execute_reply": "2026-09-22T00:40:33.620365Z"
+     "iopub.execute_input": "2026-10-23T14:49:13.348050Z",
+     "iopub.status.busy": "2026-10-23T14:49:13.347835Z",
+     "iopub.status.idle": "2026-10-23T14:49:13.399848Z",
+     "shell.execute_reply": "2026-10-23T14:49:13.399021Z"
     },
     "papermill": {
-     "duration": 0.062183,
-     "end_time": "2026-09-22T00:40:33.621425",
+     "duration": 0.058117,
+     "end_time": "2026-10-23T14:49:13.400589+00:00",
      "exception": false,
-     "start_time": "2026-09-22T00:40:33.559242",
+     "start_time": "2026-10-23T14:49:13.342472+00:00",
      "status": "completed"
     },
     "tags": []
@@ -279,7 +295,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Graphe SKOS construit : 2,897 triplets\n",
+      "Graphe SKOS construit : 2,895 triplets\n",
       "Concepts distincts (sujets) : 225\n"
      ]
     }
@@ -330,10 +346,10 @@
    "id": "658ca1d2",
    "metadata": {
     "papermill": {
-     "duration": 0.002225,
-     "end_time": "2026-09-22T00:40:33.626703",
+     "duration": 0.002553,
+     "end_time": "2026-10-23T14:49:13.405940+00:00",
      "exception": false,
-     "start_time": "2026-09-22T00:40:33.624478",
+     "start_time": "2026-10-23T14:49:13.403387+00:00",
      "status": "completed"
     },
     "tags": []
@@ -353,10 +369,10 @@
    "id": "ad1c1e05",
    "metadata": {
     "papermill": {
-     "duration": 0.002819,
-     "end_time": "2026-09-22T00:40:33.631178",
+     "duration": 0.002146,
+     "end_time": "2026-10-23T14:49:13.410159+00:00",
      "exception": false,
-     "start_time": "2026-09-22T00:40:33.628359",
+     "start_time": "2026-10-23T14:49:13.408013+00:00",
      "status": "completed"
     },
     "tags": []
@@ -373,16 +389,16 @@
    "id": "7b8ad971",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-09-22T00:40:33.637195Z",
-     "iopub.status.busy": "2026-09-22T00:40:33.637195Z",
-     "iopub.status.idle": "2026-09-22T00:40:33.659979Z",
-     "shell.execute_reply": "2026-09-22T00:40:33.659979Z"
+     "iopub.execute_input": "2026-10-23T14:49:13.416224Z",
+     "iopub.status.busy": "2026-10-23T14:49:13.415953Z",
+     "iopub.status.idle": "2026-10-23T14:49:13.434458Z",
+     "shell.execute_reply": "2026-10-23T14:49:13.433947Z"
     },
     "papermill": {
-     "duration": 0.027917,
-     "end_time": "2026-09-22T00:40:33.661091",
+     "duration": 0.022557,
+     "end_time": "2026-10-23T14:49:13.435284+00:00",
      "exception": false,
-     "start_time": "2026-09-22T00:40:33.633174",
+     "start_time": "2026-10-23T14:49:13.412727+00:00",
      "status": "completed"
     },
     "tags": []
@@ -395,17 +411,17 @@
       "Predicats du graphe (frequence) :\n",
       "    446  skos:prefLabel\n",
       "    446  skos:definition\n",
-      "    384  rdfs:seeAlso\n",
+      "    382  rdfs:seeAlso\n",
       "    224  rdf:type\n",
       "    223  skos:inScheme\n",
-      "    222  skos:narrower\n",
       "    222  rdfs:comment\n",
       "    222  aif:goodTenorOf\n",
       "    222  skos:broader\n",
-      "    142  virt:aifAttackTypeProvenance\n",
+      "    222  skos:narrower\n",
       "    142  virt:aifAttackType\n",
-      "      1  skos:hasTopConcept\n",
+      "    142  virt:aifAttackTypeProvenance\n",
       "      1  skos:topConceptOf\n",
+      "      1  skos:hasTopConcept\n",
       "\n",
       "Concepts (avec prefLabel) : 223\n",
       "Definitions               : 446\n",
@@ -454,18 +470,18 @@
    "id": "76ec68e5",
    "metadata": {
     "papermill": {
-     "duration": 0.003102,
-     "end_time": "2026-09-22T00:40:33.666891",
+     "duration": 0.0039,
+     "end_time": "2026-10-23T14:49:13.443712+00:00",
      "exception": false,
-     "start_time": "2026-09-22T00:40:33.663789",
+     "start_time": "2026-10-23T14:49:13.439812+00:00",
      "status": "completed"
     },
     "tags": []
    },
    "source": [
-    "**Lecture** : le thesaurus compte **223 concepts** (chacun avec un `prefLabel`), **446 définitions** (223 x 2 langues), **222 relations `broader`** et autant de `narrower` -- la double declaration est la convention SKOS (chaque lien hiérarchique est posé dans les deux sens). Le recensement se referme sur le compte de construction : la construction annonçait `Graphe SKOS construit : 2,897 triplets` ; la table des prédicats, additionnée, rend exactement ce total : 446 + 446 + 384 + 224 + 223 + 222 + 222 + 222 + 222 + 222 + 142 + 142 + 1 + 1 = 2,897 -- aucun triplet hors inventaire. Deux entrées de la table racontent l'évolution du pôle vertus : `virt:aifAttackType` et `virt:aifAttackTypeProvenance` (222 chacune) sont arrivées avec le resync #13554 de l'ontologie source, qui a porté le fichier de 848,820 à 1,199,984 octets en ajoutant 666 `AnnotationAssertion` (222 `aifAttackType`, 222 `aifAttackedNode`, 222 `aifAttackTypeProvenance`). Le pont n'en charge que 284 : les objets de `aifAttackedNode` sont des IRI, et pour ces prédicats le pont ne retient que les littéraux -- d'où l'noyau 2,613 + 284 = 2,897 -- la couche attack compte 142 par prédicat à l'épingle, contre 222 au resync (2,639 + 444 = 3,083 avant que #1532 ne retire en outre 26 seeAlso), mesuré comme annoncé. Deux cohérences de plus se lisent dans la même table : `Concepts distincts (sujets) : 225` contre 223 avec prefLabel -- les deux sujets excédentaires sont le scheme et la licence CC BY-SA (#1541/#1542), qui n'est pas un concept mais porte l'unique `hasTopConcept` ; et le compte `rdf:type` monte aussi à 224 : chaque concept typé, plus le scheme. Contrairement au pôle sophismes, il n'y a **aucun** `NamedIndividual` ni `ObjectPropertyAssertion` : la connaissance est portée par la **hiérarchie de concepts** et les **annotations multilingues**, pas par un graphe de relations entre individus. Deux ontologies sœurs, deux paradigmes : ABox relationnel pour les sophismes, thesaurus SKOS pour les vertus.\n",
+    "**Lecture** : le thesaurus compte **223 concepts** (chacun avec un `prefLabel`), **446 définitions** (223 x 2 langues), **222 relations `broader`** et autant de `narrower` -- la double declaration est la convention SKOS (chaque lien hiérarchique est posé dans les deux sens). Le recensement se referme sur le compte de construction : la construction annonçait `Graphe SKOS construit : 2,895 triplets` ; la table des prédicats, additionnée, rend exactement ce total : 446 + 446 + 382 + 224 + 223 + 222 + 222 + 222 + 222 + 142 + 142 + 1 + 1 = 2,895 -- aucun triplet hors inventaire. Deux entrées de la table racontent l'évolution du pôle vertus : `virt:aifAttackType` et `virt:aifAttackTypeProvenance` (142 chacune à l'épingle courante) sont arrivées avec le resync #13554 de l'ontologie source, qui a porté le fichier de 848,820 à 1,199,984 octets en ajoutant 666 `AnnotationAssertion` (222 `aifAttackType`, 222 `aifAttackedNode`, 222 `aifAttackTypeProvenance`). Le pont n'en charge que 284 : les objets de `aifAttackedNode` sont des IRI, et pour ces prédicats le pont ne retient que les littéraux -- d'où le noyau 2,611 + 284 = 2,895 -- la couche attack compte 142 par prédicat à l'épingle, contre 222 au resync (2,639 + 444 = 3,083 avant que #1532 ne retire en outre des seeAlso), mesuré comme annoncé. Deux cohérences de plus se lisent dans la même table : `Concepts distincts (sujets) : 225` contre 223 avec prefLabel -- les deux sujets excédentaires sont le scheme et la licence CC BY-SA (#1541/#1542), qui n'est pas un concept mais porte l'unique `hasTopConcept` ; et le compte `rdf:type` monte aussi à 224 : chaque concept typé, plus le scheme. Contrairement au pôle sophismes, il n'y a **aucun** `NamedIndividual` ni `ObjectPropertyAssertion` : la connaissance est portée par la **hiérarchie de concepts** et les **annotations multilingues**, pas par un graphe de relations entre individus. Deux ontologies sœurs, deux paradigmes : ABox relationnel pour les sophismes, thesaurus SKOS pour les vertus.\n",
     "\n",
-    "**Lignée de l'amont** (datée en §2) : 13 IRIs de concepts changent de casse (#1249, migration Humanizer : `thirdfigureSyllogism` → `thirdFigureSyllogism`) ; les 14 IRI de schémas Walton sont assainis (#1252 : `Argument from Rule` → `argumentFromRule`) ; 26 `seeAlso` retirés (#1532 : 410 → 384) ; couche `aifAttackType*` restreinte de 222 à 142 par prédicat (mesuré à l'épingle) ; pont dcterms + licence CC BY-SA 4.0 (#1541/#1542 : 1 199 984 → 1 095 353 octets). Ce qui tient : 446/446 labels/définitions, 222 `goodTenorOf`, 14 schémas, les comptes 50/40/27/26.\n"
+    "**Lignée de l'amont** (datée en §2) : 13 IRIs de concepts changent de casse (#1249, migration Humanizer : `thirdfigureSyllogism` → `thirdFigureSyllogism`) ; les 14 IRI de schémas Walton sont assainis (#1252 : `Argument from Rule` → `argumentFromRule`) ; 26 `seeAlso` retirés (#1532 : 410 → 384, puis 382 depuis l'avance de l'épingle) ; couche `aifAttackType*` restreinte de 222 à 142 par prédicat (mesuré à l'épingle) ; pont dcterms + licence CC BY-SA 4.0 (#1541/#1542 : 1 199 984 → 1 094 832 octets). Ce qui tient : 446/446 labels/définitions, 222 `goodTenorOf`, 14 schémas, les comptes 50/40/27/26."
    ]
   },
   {
@@ -473,10 +489,10 @@
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@@ -494,16 +510,16 @@
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@@ -539,7 +555,13 @@
       "   4 narrower  |  credibleSources               Sources crédibles\n",
       "   4 narrower  |  wellEvaluatedSource           Source bien évaluée\n",
       "   4 narrower  |  validSyllogism                Syllogisme valide\n",
-      "   4 narrower  |  perfectModeSyllogism          Syllogisme de mode parfait\n",
+      "   4 narrower  |  perfectModeSyllogism          Syllogisme de mode parfait\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
       "\n",
       "Chaine broader depuis une feuille (absenceOfInternalContradictions) :\n",
       "  absenceOfInternalContradictions  ->  coherentDemonstration  ->  correctDeductions  ->  inferentialMastery  ->  validArgument\n"
@@ -596,10 +618,10 @@
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@@ -613,10 +635,10 @@
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-     "start_time": "2026-09-22T00:40:33.852945",
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@@ -634,16 +656,16 @@
    "id": "bd6dafc0",
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-     "shell.execute_reply": "2026-09-22T00:40:34.023595Z"
+     "iopub.execute_input": "2026-10-23T14:49:13.695880Z",
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-     "end_time": "2026-09-22T00:40:34.024206",
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@@ -662,23 +684,10 @@
       "  acceptableRhetoric        Rhétorique acceptable       |  Acceptable rhetoric\n",
       "  acceptanceOfUncertainty   Acceptation de l’incertitude  |  Acceptance of uncertainty\n",
       "  activeListening           Écoute active               |  Active listening\n",
-      "  adequateComparison        Comparaison adéquate        |  Adequate comparison\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
+      "  adequateComparison        Comparaison adéquate        |  Adequate comparison\n",
       "\n",
       "Definition FR de 'absenceOfInternalContradictions' :\n",
-      "  Un raisonnement est valide si ses prémisses et sa conclusion ne se contredisent pas."
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "\n"
+      "  Un raisonnement est valide si ses prémisses et sa conclusion ne se contredisent pas.\n"
      ]
     }
    ],
@@ -718,10 +727,10 @@
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@@ -739,10 +748,10 @@
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@@ -759,16 +768,16 @@
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@@ -797,7 +806,7 @@
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",
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",
       "text/plain": [
        "<Figure size 900x550 with 1 Axes>"
       ]
@@ -838,10 +847,10 @@
    "id": "6e503d32",
    "metadata": {
     "papermill": {
-     "duration": 0.002991,
-     "end_time": "2026-09-22T00:40:34.536269",
+     "duration": 0.00284,
+     "end_time": "2026-10-23T14:49:14.348703+00:00",
      "exception": false,
-     "start_time": "2026-09-22T00:40:34.533278",
+     "start_time": "2026-10-23T14:49:14.345863+00:00",
      "status": "completed"
     },
     "tags": []
@@ -857,10 +866,10 @@
    "id": "8798c7a3",
    "metadata": {
     "papermill": {
-     "duration": 0.003007,
-     "end_time": "2026-09-22T00:40:34.542392",
+     "duration": 0.003619,
+     "end_time": "2026-10-23T14:49:14.355537+00:00",
      "exception": false,
-     "start_time": "2026-09-22T00:40:34.539385",
+     "start_time": "2026-10-23T14:49:14.351918+00:00",
      "status": "completed"
     },
     "tags": []
@@ -877,10 +886,10 @@
    "id": "363f473d",
    "metadata": {
     "papermill": {
-     "duration": 0.003024,
-     "end_time": "2026-09-22T00:40:34.548534",
+     "duration": 0.002834,
+     "end_time": "2026-10-23T14:49:14.360894+00:00",
      "exception": false,
-     "start_time": "2026-09-22T00:40:34.545510",
+     "start_time": "2026-10-23T14:49:14.358060+00:00",
      "status": "completed"
     },
     "tags": []
@@ -898,16 +907,16 @@
    "id": "1c28e1e8",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-09-22T00:40:34.556384Z",
-     "iopub.status.busy": "2026-09-22T00:40:34.555664Z",
-     "iopub.status.idle": "2026-09-22T00:40:34.559394Z",
-     "shell.execute_reply": "2026-09-22T00:40:34.558797Z"
+     "iopub.execute_input": "2026-10-23T14:49:14.366675Z",
+     "iopub.status.busy": "2026-10-23T14:49:14.366466Z",
+     "iopub.status.idle": "2026-10-23T14:49:14.370239Z",
+     "shell.execute_reply": "2026-10-23T14:49:14.369700Z"
     },
     "papermill": {
-     "duration": 0.007936,
-     "end_time": "2026-09-22T00:40:34.559950",
+     "duration": 0.007446,
+     "end_time": "2026-10-23T14:49:14.370769+00:00",
      "exception": false,
-     "start_time": "2026-09-22T00:40:34.552014",
+     "start_time": "2026-10-23T14:49:14.363323+00:00",
      "status": "completed"
     },
     "tags": []
@@ -943,10 +952,10 @@
    "id": "0a979be7",
    "metadata": {
     "papermill": {
-     "duration": 0.002927,
-     "end_time": "2026-09-22T00:40:34.565806",
+     "duration": 0.002436,
+     "end_time": "2026-10-23T14:49:14.375665+00:00",
      "exception": false,
-     "start_time": "2026-09-22T00:40:34.562879",
+     "start_time": "2026-10-23T14:49:14.373229+00:00",
      "status": "completed"
     },
     "tags": []
@@ -965,16 +974,16 @@
    "id": "c33e84aa",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-09-22T00:40:34.573092Z",
-     "iopub.status.busy": "2026-09-22T00:40:34.573092Z",
-     "iopub.status.idle": "2026-09-22T00:40:34.575889Z",
-     "shell.execute_reply": "2026-09-22T00:40:34.575889Z"
+     "iopub.execute_input": "2026-10-23T14:49:14.381950Z",
+     "iopub.status.busy": "2026-10-23T14:49:14.381796Z",
+     "iopub.status.idle": "2026-10-23T14:49:14.385199Z",
+     "shell.execute_reply": "2026-10-23T14:49:14.384836Z"
     },
     "papermill": {
-     "duration": 0.007603,
-     "end_time": "2026-09-22T00:40:34.576941",
+     "duration": 0.007717,
+     "end_time": "2026-10-23T14:49:14.385954+00:00",
      "exception": false,
-     "start_time": "2026-09-22T00:40:34.569338",
+     "start_time": "2026-10-23T14:49:14.378237+00:00",
      "status": "completed"
     },
     "tags": []
@@ -1007,10 +1016,10 @@
    "id": "0d3f18a2",
    "metadata": {
     "papermill": {
-     "duration": 0.002861,
-     "end_time": "2026-09-22T00:40:34.583183",
+     "duration": 0.002378,
+     "end_time": "2026-10-23T14:49:14.390848+00:00",
      "exception": false,
-     "start_time": "2026-09-22T00:40:34.580322",
+     "start_time": "2026-10-23T14:49:14.388470+00:00",
      "status": "completed"
     },
     "tags": []
@@ -1032,16 +1041,16 @@
    "id": "6312ff34",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-09-22T00:40:34.590533Z",
-     "iopub.status.busy": "2026-09-22T00:40:34.590533Z",
-     "iopub.status.idle": "2026-09-22T00:40:34.593422Z",
-     "shell.execute_reply": "2026-09-22T00:40:34.593422Z"
+     "iopub.execute_input": "2026-10-23T14:49:14.396940Z",
+     "iopub.status.busy": "2026-10-23T14:49:14.396711Z",
+     "iopub.status.idle": "2026-10-23T14:49:14.400439Z",
+     "shell.execute_reply": "2026-10-23T14:49:14.399728Z"
     },
     "papermill": {
-     "duration": 0.00823,
-     "end_time": "2026-09-22T00:40:34.594475",
+     "duration": 0.007837,
+     "end_time": "2026-10-23T14:49:14.401132+00:00",
      "exception": false,
-     "start_time": "2026-09-22T00:40:34.586245",
+     "start_time": "2026-10-23T14:49:14.393295+00:00",
      "status": "completed"
     },
     "tags": []
@@ -1072,10 +1081,10 @@
    "id": "4907f827",
    "metadata": {
     "papermill": {
-     "duration": 0.002801,
-     "end_time": "2026-09-22T00:40:34.599827",
+     "duration": 0.002679,
+     "end_time": "2026-10-23T14:49:14.406721+00:00",
      "exception": false,
-     "start_time": "2026-09-22T00:40:34.597026",
+     "start_time": "2026-10-23T14:49:14.404042+00:00",
      "status": "completed"
     },
     "tags": []
@@ -1118,14 +1127,14 @@
   },
   "papermill": {
    "default_parameters": {},
-   "duration": 3.49239,
-   "end_time": "2026-10-01T21:59:24.693985",
+   "duration": 3.86578,
+   "end_time": "2026-10-23T14:49:14.759385+00:00",
    "environment_variables": {},
    "exception": null,
    "input_path": "Argumentation-Onto-03-Vertus-SKOS-Python.ipynb",
    "output_path": "Argumentation-Onto-03-Vertus-SKOS-Python.ipynb",
    "parameters": {},
-   "start_time": "2026-10-01T21:59:21.201595",
+   "start_time": "2026-10-23T14:49:10.893605+00:00",
    "version": "2.6.0"
   }
  },
diff --git a/docs/reference/scripts-reference.md b/docs/reference/scripts-reference.md
index 042a0a053a..05a7481b91 100644
--- a/docs/reference/scripts-reference.md
+++ b/docs/reference/scripts-reference.md
@@ -106,6 +106,7 @@ python scripts/notebook_tools/notebook_tools.py execute <notebook> --cell-by-cel
 | `detect_bare_cross_dir_load.py` | Détecte un `#load "X.cs"` **bare** (nom nu, sans séparateur) dont le `.cs` n'existe PAS dans le dossier du notebook — anti-pattern du rollout SVG inline (#6927) où le kernel résout un `#load` relatif et échoue silencieusement / charge le mauvais fichier |
 | `check_notebook_navlinks.py` | Vérifie les liens de navigation relatifs **cassés dans les cellules markdown des `.ipynb`** (« précédent / suivant »). `check_docs_links.py` couvre uniquement les fichiers markdown (CLAUDE.md, docs/, README) ; cet outil couvre le markdown *intérieur* des notebooks |
 | `check_plotly_static_risk.py` | Détecte les cellules Plotly-CDN dans les `.ipynb` = **blanc en static rendering** (cf #6927). Le pattern canonique `record PlotlyHtml + Formatter.Register` émet un `<script src="https://cdn.plot.ly/...">` externe qui rend en kernel live mais pas sur GitHub/nbviewer |
+| `list_data_consumers.py` | **Donnée vendorée modifiée → carnets consommateurs** (#20628). Sur un changement qui touche `Argument_Analysis/ontologies/*.owl` ou `data/*taxonomy*.csv`, liste les carnets dont la source cite le fichier (index git, `_archive/` et traductions `-EN` exclus) et marque ceux qui **ne sont pas dans le même changement**. Mode indexé par défaut, `--base <ref>` pour un changement de PR, `--advisory` (rc 0 forcé, mode hook), `--json`, `--self-test`. Câblé en pre-commit **advisory** (aucun emplacement de file CI consommé, #13097) : la version bloquante est l'appel sans `--advisory`, pour l'auteur ou le reviewer |
 
 ### Render-suite SVG inline (rollout #6927)
 La migration Plotly-CDN → SVG inline `text/html` (canon ai-01 `svg-6927-canon.md`) est gardée par 5 détecteurs couvrant tous les cas de figure cassé. `detect_svg_decimal_commas.py` (dans la section Tests ci-dessous) traite le cas virgule-décimale fr-FR.
diff --git a/scripts/notebook_tools/list_data_consumers.py b/scripts/notebook_tools/list_data_consumers.py
new file mode 100644
index 0000000000..57d3205ab0
--- /dev/null
+++ b/scripts/notebook_tools/list_data_consumers.py
@@ -0,0 +1,175 @@
+#!/usr/bin/env python3
+"""Liste les carnets qui lisent une donnee vendoree modifiee, et signale ceux
+qui ne font pas partie du meme changement.
+
+Une resynchronisation de taxonomie (OWL/CSV vendoree) ne declenche aucun
+carnet : les sorties commitees continuent de decrire les donnees d'avant,
+et la prose qui les commente aussi (#20628, cas mesure Obs-04).
+
+Modes :
+  (defaut)        fichiers indexes (`git diff --cached --name-only`)
+  --base REF      fichiers du changement depuis REF (`git diff REF...HEAD`)
+  --advisory      toujours rc 0 : affiche la liste sans bloquer
+  --json          sortie machine
+  --self-test     controle positif + negatif
+
+rc 1 quand un carnet consommateur d'une donnee modifiee n'est pas lui-meme
+dans le changement. En mode pre-commit, le hook tourne en --advisory : la
+liste est imprimee, aucun commit legitime n'est bloque (penurie de runners
+CI, #13097 -- le hook ne consomme aucun emplacement de file).
+"""
+from __future__ import annotations
+
+import argparse
+import json
+import re
+import subprocess
+import sys
+from pathlib import Path
+
+# Donnees vendorees dont la mise a jour doit propager une re-execution.
+DATA_PATTERNS = (
+    re.compile(r"^MyIA\.AI\.Notebooks/SymbolicAI/Argument_Analysis/ontologies/.*\.owl$"),
+    re.compile(r"^MyIA\.AI\.Notebooks/SymbolicAI/Argument_Analysis/data/.*taxonomy.*\.csv$"),
+)
+# Un carnet de traduction ou archive ne se re-execute pas avec la source.
+EXCLUDED_CONSUMER = re.compile(r"(^|/)_archive/|-EN\.ipynb$")
+
+
+def git(*args: str, cwd: Path | None = None) -> str:
+    proc = subprocess.run(
+        ["git", *args],
+        capture_output=True,
+        text=True,
+        encoding="utf-8",
+        errors="replace",
+        cwd=str(cwd) if cwd else None,
+    )
+    if proc.returncode != 0:
+        raise RuntimeError(f"git {' '.join(args)}: {proc.stderr.strip()}")
+    return proc.stdout
+
+
+def changed_files(base: str | None, cwd: Path | None = None) -> list[str]:
+    if base:
+        raw = git("diff", "--name-only", "--diff-filter=ACMR", f"{base}...HEAD", cwd=cwd)
+    else:
+        raw = git("diff", "--cached", "--name-only", "--diff-filter=ACMR", cwd=cwd)
+    return [line.strip() for line in raw.splitlines() if line.strip()]
+
+
+def is_vendored_data(path: str) -> bool:
+    return any(p.match(path) for p in DATA_PATTERNS)
+
+
+def consumers_of(basename: str, cwd: Path | None = None) -> list[str]:
+    """Carnets dont le source cite ce nom de fichier (index git, pas le disque)."""
+    try:
+        raw = git("grep", "-l", "-F", basename, "--", "*.ipynb", cwd=cwd)
+    except RuntimeError:
+        return []  # aucun consommateur : git grep rend 1 sur zero resultat
+    out = []
+    for line in raw.splitlines():
+        path = line.split(":", 1)[1] if ":" in line else line
+        path = path.strip()
+        if path and not EXCLUDED_CONSUMER.search(path):
+            out.append(path)
+    return sorted(set(out))
+
+
+def analyse(files: list[str], cwd: Path | None = None) -> dict:
+    data = [f for f in files if is_vendored_data(f)]
+    changed = set(files)
+    report = {"data_files": [], "missing": []}
+    for path in data:
+        basename = Path(path).name
+        cons = consumers_of(basename, cwd=cwd)
+        entries = [{"notebook": c, "in_change": c in changed} for c in cons]
+        report["data_files"].append({"data": path, "consumers": entries})
+        report["missing"].extend(e["notebook"] for e in entries if not e["in_change"])
+    report["missing"] = sorted(set(report["missing"]))
+    return report
+
+
+def render(report: dict) -> str:
+    if not report["data_files"]:
+        return ""
+    lines = ["Donnee vendoree modifiee -- carnets consommateurs :"]
+    for entry in report["data_files"]:
+        lines.append(f"  {entry['data']}")
+        if not entry["consumers"]:
+            lines.append("    (aucun carnet ne la lit)")
+        for c in entry["consumers"]:
+            flag = "dans le changement" if c["in_change"] else "A RE-EXECUTER"
+            lines.append(f"    [{flag}] {c['notebook']}")
+    if report["missing"]:
+        lines.append(
+            "  -> re-executer les carnets marques A RE-EXECUTER dans le meme changement, "
+            "ou ouvrir une issue nommee qui les liste."
+        )
+    return "\n".join(lines)
+
+
+def self_test(cwd: Path | None = None) -> int:
+    ok = True
+    positive = analyse(
+        ["MyIA.AI.Notebooks/SymbolicAI/Argument_Analysis/ontologies/argumentum_fallacies.owl"],
+        cwd=cwd,
+    )
+    found = [c["notebook"] for e in positive["data_files"] for c in e["consumers"]]
+    if not found:
+        print("[self-test] ECHEC : aucun consommateur pour l'OWL des sophismes")
+        ok = False
+    else:
+        print(f"[self-test] controle positif : {len(found)} consommateur(s)")
+    if not positive["missing"]:
+        print("[self-test] ECHEC : le controle positif ne signale aucun carnet manquant")
+        ok = False
+    negative = analyse(["docs/reference/common-commands.md"], cwd=cwd)
+    if negative["data_files"] or negative["missing"]:
+        print("[self-test] ECHEC : un fichier non vendore a produit un rapport")
+        ok = False
+    else:
+        print("[self-test] controle negatif : aucune donnee vendoree, rc 0")
+    # Deduplication : le meme carnet citant deux donnees ne compte qu'une fois.
+    both = analyse(
+        [
+            "MyIA.AI.Notebooks/SymbolicAI/Argument_Analysis/ontologies/argumentum_fallacies.owl",
+            "MyIA.AI.Notebooks/SymbolicAI/Argument_Analysis/data/argumentum_fallacies_taxonomy.csv",
+        ],
+        cwd=cwd,
+    )
+    if len(both["missing"]) != len(set(both["missing"])):
+        print("[self-test] ECHEC : doublon dans la liste des carnets manquants")
+        ok = False
+    print("[self-test] " + ("OK" if ok else "ECHEC"))
+    return 0 if ok else 1
+
+
+def main(argv: list[str] | None = None) -> int:
+    parser = argparse.ArgumentParser(description=__doc__.splitlines()[0])
+    parser.add_argument("--base", default=None, help="Ref de base (defaut : fichiers indexes)")
+    parser.add_argument("--advisory", action="store_true", help="Toujours rc 0 (mode hook)")
+    parser.add_argument("--json", action="store_true", help="Sortie machine")
+    parser.add_argument("--self-test", action="store_true")
+    parser.add_argument("--repo", default=None, help="Racine du depot (defaut : cwd)")
+    args = parser.parse_args(argv)
+
+    cwd = Path(args.repo) if args.repo else None
+    if args.self_test:
+        return self_test(cwd=cwd)
+
+    report = analyse(changed_files(args.base, cwd=cwd), cwd=cwd)
+    if args.json:
+        print(json.dumps(report, indent=2, ensure_ascii=False))
+    else:
+        text = render(report)
+        if text:
+            print(text)
+    if not report["missing"]:
+        return 0
+    return 0 if args.advisory else 1
+
+
+if __name__ == "__main__":
+    sys.exit(main())
diff --git a/scripts/notebook_tools/tests/test_list_data_consumers.py b/scripts/notebook_tools/tests/test_list_data_consumers.py
new file mode 100644
index 0000000000..ad40b59a82
--- /dev/null
+++ b/scripts/notebook_tools/tests/test_list_data_consumers.py
@@ -0,0 +1,108 @@
+"""Tests for scripts/notebook_tools/list_data_consumers.py.
+
+The organ answers one question: when a vendored taxonomy file changes, which
+notebooks read it, and which of those are absent from the same change set?
+Tests cover the predicate, the exclusion of translation/archive consumers,
+deduplication, and the two controls (a real data file finds consumers; a
+non-vendored file finds none).
+"""
+
+import sys
+from pathlib import Path
+
+import pytest
+
+sys.path.insert(0, str(Path(__file__).resolve().parent.parent))
+import list_data_consumers as organ
+
+REPO_ROOT = Path(__file__).resolve().parents[3]
+
+OWL = "MyIA.AI.Notebooks/SymbolicAI/Argument_Analysis/ontologies/argumentum_fallacies.owl"
+CSV = "MyIA.AI.Notebooks/SymbolicAI/Argument_Analysis/data/argumentum_fallacies_taxonomy.csv"
+CARDS = "MyIA.AI.Notebooks/SymbolicAI/Argument_Analysis/Argumentation-02b-Argumentum-Cards-Python.ipynb"
+
+
+class TestVendoredDataPredicate:
+    def test_owl_is_vendored(self):
+        assert organ.is_vendored_data(OWL)
+
+    def test_taxonomy_csv_is_vendored(self):
+        assert organ.is_vendored_data(CSV)
+
+    def test_other_csv_is_not_vendored(self):
+        assert not organ.is_vendored_data(
+            "MyIA.AI.Notebooks/SymbolicAI/Argument_Analysis/data/other.csv"
+        )
+
+    def test_docs_are_not_vendored(self):
+        assert not organ.is_vendored_data("docs/reference/common-commands.md")
+
+
+class TestConsumerExclusions:
+    def test_archive_consumer_is_excluded(self):
+        assert organ.EXCLUDED_CONSUMER.search(
+            "MyIA.AI.Notebooks/SymbolicAI/Argument_Analysis/_archive/Old.ipynb"
+        )
+
+    def test_translation_consumer_is_excluded(self):
+        assert organ.EXCLUDED_CONSUMER.search(
+            "MyIA.AI.Notebooks/SymbolicAI/Argument_Analysis/Argumentation-02b-EN.ipynb"
+        )
+
+    def test_source_consumer_is_kept(self):
+        assert not organ.EXCLUDED_CONSUMER.search(CARDS)
+
+
+@pytest.mark.skipif(not REPO_ROOT.joinpath(".git").exists(), reason="needs the git index")
+class TestPositiveControl:
+    def test_owl_finds_consumers(self):
+        cons = organ.consumers_of(Path(OWL).name, cwd=REPO_ROOT)
+        assert cons, "aucun carnet ne lit l'OWL des sophismes"
+        assert any("Argumentation-" in c for c in cons)
+
+    def test_changed_consumer_is_not_reported_missing(self):
+        report = organ.analyse([CSV, CARDS], cwd=REPO_ROOT)
+        assert CARDS not in report["missing"]
+
+    def test_unchanged_consumer_is_reported_missing(self):
+        report = organ.analyse([OWL], cwd=REPO_ROOT)
+        assert report["missing"], "un changement de donnee seule devrait signaler des carnets"
+
+    def test_render_mentions_the_action(self):
+        text = organ.render(organ.analyse([OWL], cwd=REPO_ROOT))
+        assert "A RE-EXECUTER" in text
+
+
+@pytest.mark.skipif(not REPO_ROOT.joinpath(".git").exists(), reason="needs the git index")
+class TestNegativeControl:
+    def test_non_vendored_file_is_silent(self):
+        report = organ.analyse(["docs/reference/common-commands.md"], cwd=REPO_ROOT)
+        assert report["data_files"] == []
+        assert report["missing"] == []
+        assert organ.render(report) == ""
+
+
+@pytest.mark.skipif(not REPO_ROOT.joinpath(".git").exists(), reason="needs the git index")
+class TestDeduplication:
+    def test_notebook_citing_two_data_files_appears_once(self):
+        report = organ.analyse([OWL, CSV], cwd=REPO_ROOT)
+        assert len(report["missing"]) == len(set(report["missing"]))
+
+
+class TestExitCodes:
+    @pytest.mark.skipif(not REPO_ROOT.joinpath(".git").exists(), reason="needs the git index")
+    def test_advisory_never_fails(self, monkeypatch):
+        monkeypatch.setattr(
+            organ, "changed_files", lambda base, cwd=None: [OWL]
+        )
+        assert organ.main(["--advisory", "--repo", str(REPO_ROOT)]) == 0
+
+    @pytest.mark.skipif(not REPO_ROOT.joinpath(".git").exists(), reason="needs the git index")
+    def test_strict_mode_fails_on_missing_consumer(self, monkeypatch):
+        monkeypatch.setattr(
+            organ, "changed_files", lambda base, cwd=None: [OWL]
+        )
+        assert organ.main(["--repo", str(REPO_ROOT)]) == 1
+
+    def test_self_test_passes(self):
+        assert organ.self_test(cwd=REPO_ROOT) == 0