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Retrieval Sources Reference / 检索来源参考

Use this file in Module 2 to:

  1. Detect the query domain
  2. Activate only the matching source packs
  3. Look up venue lists and scoring rules

Domain Router / 领域路由(必读)

After Module 1 query rewrite, detect 1–2 primary domains, then load the corresponding source packs below.

Domain ID Trigger keywords (CN / EN examples) Activate packs
ai_cs 大模型, LLM, CV, NLP, 强化学习, transformer, deep learning, computer vision, IR, data mining A + B (+ A-CN when CN/国产/中文大模型)
math_physics 数学, 物理, 粒子物理, nonlinear, quantitative biology A(arXiv) + C + E(CERN/OSTI if energy/aero)
chemistry 化学, 分子, CAS, 化工, chemistry, reagent D + A(arXiv q-bio/cond-mat if needed)
materials 材料, 纳米, materials science, NIMS D + E(OSTI) + A
biomed 医学, 生物, PubMed, clinical, genome, drug F + A(q-bio) + H(SciELO/DOAJ)
education 教育, pedagogy, curriculum, edtech F(ERIC) + H + I
humanities_ss 哲学, 历史, 政治, 社会, 法学, 新闻, 人文社科 I + H + J(newspapers if media history)
economics 经济, 金融, 管理, marketing, SWOT, econ I(EconLit/SSRN-class) + K(EBSCO-class)
engineering_energy 能源, 航空航天, 工程, NASA, DOE E + A + H
patent_ip 专利, patent, IP L only (+ domain pack if tech context)
thesis 学位论文, thesis, dissertation, 硕博 M + domain pack
general_oa 开放获取, OA, open access, 找不到领域 H + A + N
cross_domain 跨学科 / unclear A + H + N → then refine

Routing rules / 路由规则

  1. Always run Pack A for STEM queries that may have preprints (AI/CS/math/physics/bio).
  2. Always keep English search terms for international packs, even in /query_chinese mode.
  3. Cap active packs at 3 unless the user asks for exhaustive coverage.
  4. If domain confidence is low → use general_oa + ask one clarifying question.
  5. Do not activate shadow libraries / pirate ebook sites for skill retrieval.
  6. CN LLM labs (A-CN): if query mentions 国产/中文大模型/Qwen/DeepSeek/GLM/InternLM/混元/豆包/文心/星火 etc., activate A-CN Tier-1 matching orgs (2–4); if query is a broad CN-LLM survey, also scan A-CN Discovery.
  7. Named-model force map: see A-CN force triggers.

Priority scholarly APIs (2.14 routing)

When Pack A / F / H is active (or general_oa / cross_domain), prefer these hubs (web UI and/or API; compose article-mcp if configured):

Source Use How
Semantic Scholar AI/CS citation + metadata https://www.semanticscholar.org/ · optional S2_API_KEY
OpenAlex Broad scholarly graph / open metadata · default API lane https://openalex.org/ · API below · polite pool
Crossref DOI resolve → BibTeX enrich https://api.crossref.org/
PubMed / NCBI Biomed (biomed domain → Pack F) https://pubmed.ncbi.nlm.nih.gov/
OpenReview ICLR & drafts https://openreview.net/
DBLP CS venue metadata https://dblp.org/

Do not treat source count as a KPI; activate ≤3 packs unless user asks exhaustive.

OpenAlex API recipes / OpenAlex 检索配方(必用)

Base URL: https://api.openalex.org
Docs: https://docs.openalex.org/ · UI: https://openalex.org/
Polite pool (required for reliable rate limits): append mailto=your@email.com on every request, or set User-Agent to a contactable string with email.

1) Basic search / 基础检索

curl "https://api.openalex.org/works?search=math+tutoring&per-page=20&mailto=you@example.com"
  • search — free-text (title/abstract/fulltext index); URL-encode spaces as + or %20
  • per-page — page size (default 25, max 200); Module 2 usually uses 20–50 then score
  • Cursor pagination: cursor=* then follow meta.next_cursor

2) Filtered + sorted search / 带筛选的检索

curl "https://api.openalex.org/works?search=math+tutoring&filter=publication_year:2020-2026&sort=relevance_score:desc&mailto=you@example.com"

Useful filter fragments (combine with ,):

Filter Example When
Year range publication_year:2020-2026 Recency / 「最新」
Single year publication_year:2024 Snapshot year
OA only is_oa:true Need free full text
Type type:article / type:preprint Drop misc
Concept concepts.id:C41008148 Topic focus (lookup concept first)
Author / institution authorships.author.id:A… / authorships.institutions.id:I… Expert / lab dig

Useful sort: relevance_score:desc (default for search) · publication_date:desc · cited_by_count:desc

3) Work detail / 单篇详情

curl "https://api.openalex.org/works/W2206575885?mailto=you@example.com"

Also accepts DOI / OpenAlex URL forms, e.g. /works/https://doi.org/10.7717/peerj.4375.

Field → report mapping / 字段映射

OpenAlex field Report / score use
id / ids.openalex Dedup key OpenAlex:W…
display_name Title
publication_year / publication_date Recency
doi / ids.doi Dedup + Crossref enrich
ids.arxiv / ids.pmid Cross-link Pack A / F
cited_by_count Importance signal (secondary)
primary_location / best_oa_location Venue + OA PDF URL
authorships Authors / affiliations
abstract_inverted_index Reconstruct abstract for Similarity
concepts Domain tags
type article / preprint / …

Agent usage rules / 使用规则

  1. For Pack A / H / general_oa / cross_domain, run at least one OpenAlex works?search= call with the English Keyword query (plus year filter when latest-intent).
  2. Multi-strategy (paper-search-pro): for high-stakes / deep queries, fan out 3 OpenAlex sorts on the same cleaned topic — relevance_score:desc, publication_date:desc, cited_by_count:desc — then RRF-fuse (do not treat them as unrelated topics).
  3. Prefer OpenAlex for broad scholarly recall and DOI/OA links; prefer arXiv / HF / PwC for ML preprint + code; prefer S2 when citation neighborhood is needed.
  4. Deduplicate: DOI (normalized) → arXiv ID (strip vN) → PMID → OpenAlex ID → title+year (see Scoring Reference / wiki_bridge.rrf).
  5. Do not invent OpenAlex IDs; only cite works returned by the API or UI.
  6. If API 403/429: retry with mailto=, reduce per-page, or fall back to https://openalex.org/ web search.

Pack A — AI / Computer Science Core(计算机 · AI 主库)

Default pack for Paper_Rec. Highest priority for ML/AI/CV/NLP/systems queries.

Source URL Search tip
OpenAlex https://openalex.org/ · API https://api.openalex.org/works Broad graph; see OpenAlex API recipes
arXiv https://arxiv.org/search/ Filter cs.LG cs.CV cs.CL cs.AI cs.IR stat.ML
Hugging Face Papers https://huggingface.co/papers Daily trending ML papers
Papers With Code https://paperswithcode.com/ SOTA + code links
GitHub https://github.com/search Implementations, stars, topics
Semantic Scholar https://www.semanticscholar.org/ Citation graph · API-friendly metadata
DBLP https://dblp.org/ CS bibliography / venue lookup (also https://dblp.uni-trier.de/)
OpenReview https://openreview.net/ ICLR & peer-review drafts
Connected Papers https://www.connectedpapers.com/ Graph neighborhood from a seed paper
AMiner https://www.aminer.cn/ CN-friendly scholar/paper graph (alt https://mrt.aminer.cn/)
Google Scholar https://scholar.google.com/ Broad citation search; prefer browser (anti-bot)
ACL Anthology https://aclanthology.org/ NLP proceedings
CVF Open Access https://openaccess.thecvf.com/ CVPR / ICCV / ECCV

CCF-A venues (AI/CS)

Abbrev Field
NeurIPS, ICML, ICLR ML
CVPR, ICCV Vision
ACL, AAAI, IJCAI NLP / AI
WWW, SIGKDD, SIGIR Web / DM / IR

CCF-B (selective)

EMNLP, NAACL, ECCV, BMVC, COLING, WSDM, CIKM

Conference / journal hubs(开放全文)

Venue planning meta(非正文检索;投稿/档期时启用)

Source URL Use
CCF AI 评估列表 https://www.ccf.org.cn/Academic_Evaluation/AI/ CCF 分区参考
CCF Deadlines https://ccfddl.github.io/ 截稿日历
AI Deadlines https://aideadlin.es/?sub=ML,CV,NLP ML/CV/NLP 截稿
会伴 myhuiban https://www.myhuiban.com/?lang=zh_cn 国内会议日历

Pack A-CN — Chinese LLM Labs(国产大模型 · 论文发现补充)

Source catalog distilled from awesome-LLMs-In-China.
Purpose: catch latest CN foundation-model tech reports / arXiv / GitHub releases that global indexes may lag on.

A-CN Discovery(发现层)

Source URL When to use
awesome-LLMs-In-China (site) https://free-gpt.github.io/awesome-LLMs-In-China/ Broad 国产/中文大模型 survey; discover new teams
awesome-LLMs-In-China (repo) https://github.com/wgwang/awesome-LLMs-In-China Track updates / Issues
awesome-open-foundation-models https://github.com/wgwang/awesome-open-foundation-models Open foundation model index
awesome-LLM-benchmarks https://github.com/wgwang/awesome-LLM-benchmarks Benchmarks → reverse-find papers
ModelScope 魔搭 https://www.modelscope.cn/ CN model cards often link tech reports
BAAI Model Hub https://model.baai.ac.cn/ Aquila / FlagAI ecosystem docs

Default: enable Discovery only for queries about 国产大模型 / 中文 LLM 综述 / CN foundation models — not every ai_cs query.

A-CN Tier-1 Labs(默认高优先)

For matching keywords, search GitHub org + HF org + official tech report/blog; always prefer arXiv/PDF primary link when found.

Team Models / aliases Primary channels
DeepSeek 深度求索 DeepSeek, R1, Coder, V https://github.com/deepseek-ai · https://huggingface.co/deepseek-ai
Alibaba Qwen / 通义 / 达摩 Qwen, Tongyi, Qwen-VL/Audio https://github.com/QwenLM · https://huggingface.co/Qwen · https://tongyi.aliyun.com/
Zhipu / THUDM 智谱 ChatGLM, GLM, 清言 https://github.com/THUDM · https://huggingface.co/THUDM · https://chatglm.cn/
Shanghai AI Lab 书生 InternLM, InternVL https://github.com/InternLM · https://intern-ai.org.cn/
BAAI 智源 Aquila, Emu, FlagAI, 悟道 https://github.com/FlagAI-Open · https://huggingface.co/BAAI · https://model.baai.ac.cn/
OpenBMB / 面壁 CPM, MiniCPM https://github.com/OpenBMB · https://huggingface.co/openbmb · https://modelbest.cn/
01.AI 零一万物 Yi https://github.com/01-ai/Yi · https://huggingface.co/01-ai
Moonshot 月之暗面 Kimi, Moonshot https://www.moonshot.cn/ · official blog / tech reports
Baichuan 百川 Baichuan https://github.com/baichuan-inc · https://huggingface.co/baichuan-inc
Tencent Hunyuan 混元 Hunyuan https://hunyuan.tencent.com/ · Tencent AI Lab releases
ByteDance / 豆包 / Seed Doubao, Seed, 云雀 https://www.doubao.com/ · ByteDance / Seed research posts
IDEA CCNL 姜子牙, Fengshenbang, Ziya https://fengshenbang-lm.com/ · https://huggingface.co/IDEA-CCNL

A-CN Tier-2 Labs(按需)

Team Models Channels Activate when
iFlytek 讯飞 星火 Spark https://xinghuo.xfyun.cn/ 星火 / 讯飞 / speech+LLM
Huawei Noah / 盘古 / 鹏城 PanGu https://www.huaweicloud.com/product/pangu.html · openi.pcl.ac.cn 盘古 / 华为 / 工业大模型
SenseTime 商汤 商量, SenseNova https://chat.sensetime.com/ · SenseTime research 商汤 / 多模态工业
Baidu ERNIE 文心 文心一言, ERNIE https://yiyan.baidu.com/ · Baidu Research 文心 / ERNIE / 百度
Fudan OpenLMLab / DISC MOSS, FinLLM https://github.com/OpenLMLab MOSS / 复旦 LLM
HKUST LMFlow Robin, LMFlow GitHub LMFlow / related papers LMFlow / 训练框架
XVERSE 元象 XVERSE https://github.com/xverse-ai XVERSE
Kunlun Skywork 天工 Skywork HF/GitHub Skywork Skywork / 天工
vivo BlueLM BlueLM HF/GitHub BlueLM BlueLM
Inspur 源 源 2.0 Inspur open releases 浪潮 / 源大模型

A-CN Academic labs(子领域)

Lab Focus Note
THUDM (Tsinghua) GLM lineage Overlaps Zhipu; use arXiv + GitHub
PKU groups ChatLaw, CodeShell, Chat-UniVi law / code / multimodal
ZJU NLP / OpenKG KnowLM, 智海系列 knowledge / legal / edu
SJTU BAI / AI Institute 白玉兰, K2, GeoLLaMA science LLM
HIT 本草, 活字 medical / Chinese LLM
CASIA 紫东·太初 full-modality
HUST / SYSU Monkey, Firefly multimodal SFT series

Vertical medical/legal/finance LLMs: prefer parent domain packs (biomed / humanities_ss / economics) plus the named lab channel above.

A-CN force triggers / 强制触发

Query contains Force-open channels
DeepSeek, R1, deepseek DeepSeek GitHub/HF + arXiv
Qwen, 通义, Tongyi QwenLM + HF Qwen (prefer Qwen3.7 > 3.6 > 3.5 > 3 > 2.5; include official blog/docs if no TR yet)
GLM, ChatGLM, 智谱, 清言 THUDM + Zhipu
InternLM, 书生, InternVL InternLM / Shanghai AI Lab
Aquila, 悟道, BAAI, FlagAI BAAI hub + FlagAI
MiniCPM, CPM, 面壁, OpenBMB OpenBMB
Yi- , 零一 01-ai/Yi
Kimi, Moonshot, 月之暗面 Moonshot official
Baichuan, 百川 baichuan-inc
混元, Hunyuan Tencent Hunyuan
豆包, Seed, 云雀 ByteDance / Doubao
姜子牙, Fengshenbang, Ziya IDEA-CCNL
国产大模型, 中文大模型综述 A-CN Discovery + Tier-1 sample (4+)

Rules: pick 2–4 Tier-1 orgs max per query (unless survey); always verify blog claims with arXiv/PDF; GitHub search may 429 — fall back to org page + HF model card + web search site:github.com/org.


Pack B — AI Industry & Trend(产业 · 趋势补充)

Use when Pack A hits <30 or user wants latest industrial work.

Global labs

Source URL
Google Research https://research.google/
Meta AI https://ai.meta.com/research/
Microsoft Research https://www.microsoft.com/en-us/research/
OpenAI Research https://openai.com/research
DeepMind https://deepmind.google/research/
Anthropic https://www.anthropic.com/research
NVIDIA Research https://research.nvidia.com/

CN industry portals(与 A-CN 互补;偏产品/发布,论文需回链)

Source URL
阿里达摩院 / 通义 https://tongyi.aliyun.com/ · DAMO research posts
腾讯 AI Lab / 混元 https://hunyuan.tencent.com/
字节跳动 / 豆包 https://www.doubao.com/
华为诺亚 / 盘古 https://www.huaweicloud.com/product/pangu.html
百度文心 https://yiyan.baidu.com/
讯飞星火 https://xinghuo.xfyun.cn/
商汤 https://www.sensetime.com/

CN media (trend only → always verify with primary paper): 机器之心 · 量子位 · 阿里达摩院 · 腾讯AI Lab · 字节跳动技术 · 华为诺亚方舟

Influencer examples: CV → Kaiming He; RL → Levine / Abbeel; expand 2–3 leaders per subfield.


Pack C — Math / Physics / Preprint STEM(数理 · 预印本)

Source URL Focus
arXiv https://arxiv.org/ math.* physics.* hep-* nlin.* q-bio.*
CERN Document Server https://cds.cern.ch/ Particle physics (browser may work if API/script 403)
Science.gov https://www.science.gov/ US federal STEM aggregation

Pack D — Chemistry / Materials(化学 · 材料)

Source URL Focus Notes
ChemBlink https://www.chemblink.com/ Chemical product / CAS lookup Not a paper DB — use for substance metadata
Chemistry Central / Springer Chem https://www.chemistrycentral.com/ Chem OA (may redirect Springer) Prefer DOAJ + publisher OA
SciELO https://www.scielo.org/ Regional OA journals Good for LatAm chem/life sci
DOAJ https://doaj.org/ OA journal/article search Filter Chemistry / Materials
OSTI https://www.osti.gov/ DOE reports, materials, energy Full-text tech reports
NIMS (JP) https://www.nims.go.jp/eng/ Materials research Site may timeout; retry or use Google site:

Do not treat ChemBlink as a literature engine; pair it with DOAJ/OSTI/SciELO for papers.


Pack E — Engineering / Energy / Aerospace(工程 · 能源 · 航天)

Source URL Focus
NASA NTRS https://ntrs.nasa.gov/ Aerospace reports & conference papers
OSTI / DOE https://www.osti.gov/ Energy, materials, engineering reports
Science.gov https://www.science.gov/ Multi-agency STEM
NSTL https://www.nstl.gov.cn/ CN sci-tech literature hub

Pack F — Biomed / Life Sciences / Education(生医 · 教育)

Source URL Focus Access
ERIC https://eric.ed.gov/ Education literature Free abstracts; some full text
Local PubMed portal https://www.yuntsg.com/ PubMed-style biomedical search Registration / trial
SciELO https://www.scielo.org/ Life/health OA Free
DOAJ https://doaj.org/ OA medical journals Free
Bioline https://www.bioline.org.br/ Developing-country OA journals Free
HighWire (Stanford) https://highwire.stanford.edu/ Biomed publisher portal Often unstable / 502

Prefer ERIC for education; prefer PubMed-class + DOAJ/SciELO for biomed.


Pack G — reserved (AI labs already in Pack B)

(Merged into Pack B — kept ID for router compatibility.)


Pack H — Open Access Aggregators(开放获取聚合)

Activate for any domain when needing free full text or OA coverage.

Source URL Strength
OpenAlex https://api.openalex.org/works Scholarly graph + OA locations; filter is_oa:true
DOAJ https://doaj.org/ Quality-controlled OA journals
OALib https://www.oalib.com/ Broad OA article search (CN-friendly)
Socolar https://www.socolar.com/ OA discovery + full-text links
SciELO https://www.scielo.org/ Regional OA
Open J-Gate http://www.openj-gate.com/ OA journal portal (quality uneven)
Cambridge Repository https://www.repository.cam.ac.uk/ Institutional OA
NAP https://www.nationalacademies.org/publications/all Free academy reports/books

Pack I — Humanities / Social Sciences(人文社科)

Source URL Focus Access
NCPSSD https://www.ncpssd.org/ 国家哲学社会科学文献中心 Free / open portal
CSSCI http://cssci.nju.edu.cn/ Chinese social sciences citation Limited / institution
CSSN https://www.cssn.cn/ 中国社会科学网(动态/资讯) Free (not a paper DB)
CNKI https://www.cnki.net/ 中文期刊/硕博/会议 Paywall / campus
Wanfang https://www.wanfangdata.com.cn/ 中文综合学术库 Paywall / campus
RDFYBK http://www.rdfybk.com/ 人大复印报刊资料 Subscription
Xinhua Wenzhai DB https://www.xinhuawz.com/ 新华文摘 Subscription
NTU E-Journal https://ejournal.press.ntu.edu.tw/ 台大学术期刊 Open / campus
JSTOR https://www.jstor.org/ Humanities & social sciences Subscription
SSRN-class https://www.ssrn.com/ Working papers (econ/law/ss) Often 403 via script; browser OK

Pack J — Media / Newspaper Archives(报刊史料)

Only when query is about journalism history, media studies, or primary news sources — not for method papers.

Source URL
人民日报图文库 https://data.people.com.cn/rmrb/
光明日报库 http://epaper.gmw.cn/gmrbdb/
大公报(1902–1949) https://tk.cepiec.com.cn/tknewsc/tknewskm
中国近代报刊库 https://tk.cepiec.com.cn/SP/

Pack K — Business / Economics Databases(经管)

Source URL Notes
EconLit (AEA) https://www.aeaweb.org/econlit/ Index; full search usually via campus
EBSCO https://www.ebscohost.com/ Marketing page; real search needs institution
ScholarVox https://www.scholarvox.com/ Business ebooks; institution
SSRN https://www.ssrn.com/ Preprints in econ/finance/law

Pack L — Patents(专利)

Source URL
SooPAT https://www.soopat.com/Home/Index

Use alone or alongside ai_cs / engineering_energy when the query is IP-focused.


Pack M — Theses / Dissertations(学位论文)

Source URL Region
theses.fr https://theses.fr/ France
DART-Europe https://www.dart-europe.org/basic-search.php EU theses portal (may block bots; browser OK)
CALIS OPAC https://opac2.calis.edu.cn/ CN union catalog
UCDR S / 全国图书馆参考咨询联盟 http://www.ucdrs.superlib.net/ Document delivery
UMI / ProQuest-class https://wwwlib.umi.com/ Intl theses (access limited)
CNKI / Wanfang degree DBs cnki / wanfang CN theses (paywall)

Pack N — CN National Sci-Tech & Libraries(国内科技文献枢纽)

Source URL Role
NSTL https://www.nstl.gov.cn/ National sci-tech literature
CALIS https://opac2.calis.edu.cn/ Higher-ed union catalog
Tsinghua Library portal https://lib.tsinghua.edu.cn/ Gateway (not a paper DB itself)
paper.edu.cn https://www.paper.edu.cn/ CN sci-tech paper online
Nature (journal hub) https://www.nature.com/ Flagship STM; mostly paywalled

Explicitly Excluded / 明确排除(不要作为 skill 检索源)

Category Examples Reason
Shadow libraries Library Genesis, Z-Library, BookSC/BookZZ, Sci-Hub (sci-hub.*) Copyright risk; unstable
Scholar / PDF mirrors scholar.scqylaw.com, gfsoso.99lb.net, ac.scmor.com Unofficial; often broken / piracy-adjacent
Predatory OA catalogs SCIRP journal listing as sole source Quality uneven
Writing-only hubs home-for-researchers as sole “search” Not a paper corpus
Doc pirate / 文库破解 hi138, ebuymed, bingdian-style Not scholarly; unreliable
Search bookmark hubs 虫部落 chongbuluo Meta-directory, not a corpus
Broken / archive-only CiteSeerX live index, many 404 portals Not searchable anymore
Product-only chem shops ChemBlink as sole source Metadata ≠ papers

Pack A supplements (Connected Papers / AMiner / Scholar / JMLR / deadline hubs) curated from Awesome-Resources/Research after a 2026-07 reachability probe; pirate & mirror sites excluded.


Domain → Pack Quick Map / 速查表

ai_cs              → A, B  (+ A-CN if CN LLM keywords)
math_physics       → A, C
chemistry          → D, H
materials          → D, E, H
biomed             → F, H, A(q-bio)
education          → F(ERIC), H, I
humanities_ss      → I, H
economics          → K, I, H
engineering_energy → E, N, H
patent_ip          → L (+ parent domain pack)
thesis             → M (+ parent domain pack)
general_oa         → H, A, N
cross_domain       → A, H, N
cn_llm_survey      → A, A-CN(Discovery+Tier-1), B

Scoring Reference / 打分参考

Venue tier (Importance)

Tier Examples Boost
Tier-1 (AI/CS) NeurIPS, ICML, ICLR, CVPR, ICCV, ACL, AAAI +3
Tier-1 (field) Field-top journals/conferences for non-CS domains +3
Tier-2 EMNLP, ECCV, NAACL, strong OA journals +2
Tier-3 arXiv preprint, workshop, tech report +0–1
Industry flagship Google / Meta / OpenAI flagship +2
National hub hit NSTL / NCPSSD / ERIC verified record +1

Recency default

  • Default: prefer last 12 months for ranking; last 24 months still eligible.
  • If query has 最新 / latest / recent: apply latest-intent hard rules in \SKILL.md\ §2.3 — newer same-family versions must outrank older citation magnets.
  • Model-family order example (Qwen): �.7 > 3.6 > 3.5 > 3 > 2.5 > 2. Product release notes count when no arXiv TR exists.
  • Keep seminal older works only as labeled baselines, not as「最新」answers.

Deduplication keys

  1. DOI (normalized; strip https://doi.org/, arXiv DOI vN) — primary wiki_bridge.rrf._doc_key
  2. arXiv ID (strip vN)
  3. PMID
  4. OpenAlex work ID (W…)
  5. Normalized title + year
  6. Same PDF URL
  7. Same model family + version (keep newest)

When merging across lanes/sources, keep all lane tags (_lanes / every source); never drop a keep-rule lane just because another copy scored higher.

When latest-intent is on, keep the newest version even if an older duplicate has a richer venue.


Module-2 checklist (domain-aware)

- [ ] Detect Domain ID(s) from rewritten query
- [ ] If CN LLM keywords → announce A-CN labs (2–4) or Discovery
- [ ] Announce: Domain = {id} → Packs = {list}
- [ ] Search Pack sources with Specific + Keyword queries
- [ ] Run OpenAlex `works?search=` (+ year/OA filters when needed); use `mailto=`
- [ ] Add English terms for international packs
- [ ] Score & keep Top 50
- [ ] Prefer Pack A/H/A-CN primary (OpenAlex DOI/OA · arXiv/PDF) over media blogs