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Author SHA1 Message Date
codex-bot ae88367fac Scope AAMAS tags to their exact source namespace
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2026-11-09 13:31:46 +08:00
codex-bot a305d00c75 Collect evidenced AAMAS proceedings metadata by publication format
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2026-11-09 13:27:23 +08:00
Zayden-Jung 57fcfc7693 Merge pull request '按官方证据识别早期 ICML 与 IROS 主系列' (#37) from codex/historical-primary-series into main
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Reviewed-on: #37
2026-11-09 05:19:49 +00:00
Zayden-Jung a07b1e42a8 Merge pull request '修正早期 ACL 来源误匹配并记录官方目录缺口' (#36) from codex/history-source-scope into main
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Reviewed-on: #36
2026-11-09 05:19:43 +00:00
codex-bot 7c6f4c9f1d Recognize evidenced early ICML and IROS primary editions
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2026-11-09 02:39:18 +08:00
codex-bot 3f0ac694a0 Correct early ACL source candidates and record official index limits
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2026-11-09 02:28:51 +08:00
Zayden-Jung 32c7edd0a5 Merge pull request '核对135个历史年度缺口与候选论文集来源' (#35) from codex/historical-gaps into main
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Reviewed-on: #35
2026-11-08 17:37:12 +00:00
Zayden-Jung 658d799334 Merge pull request '封装早期WWW档案采集并核实逐条poster证据' (#32) from codex/www-archive into main
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Reviewed-on: #32
2026-11-08 17:37:03 +00:00
codex-bot 53fbe9c75c Record current historical year gaps and candidate source volumes
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2026-11-09 00:50:15 +08:00
14 changed files with 6656 additions and 0 deletions
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@@ -49,6 +49,7 @@ jobs:
subprocess.run([str(venv/'bin/paper-atlas'),'--help'],cwd=outside,check=True)
subprocess.run([python,'-I','-B','-m','paper_atlas','collect','cvf','--help'],cwd=outside,check=True)
subprocess.run([python,'-I','-B','-m','paper_atlas','collect','www-archive','--help'],cwd=outside,check=True)
subprocess.run([python,'-I','-B','-m','paper_atlas','collect','aamas-proceedings','--help'],cwd=outside,check=True)
subprocess.run([python,'-I','-B','-m','paper_atlas','maintain','postgres','--help'],cwd=outside,check=True)
subprocess.run([python,'-I','-B','-m','paper_atlas','maintain','edition-tracks','--help'],cwd=outside,check=True)
subprocess.run([python,'-I','-B','-m','paper_atlas','maintain','joint-editions','--help'],cwd=outside,check=True)
+4
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@@ -60,6 +60,10 @@ paper-atlas collect colm --cache /data/paper-index/raw/http-cache \
--out /data/paper-index/collected
```
早期主系列的Workshop名称按[ICML/IROS精确届次证据](docs/coverage/historical-primary-series-2026-11-09.md)识别,保留原名与范围证据;代码支持不代表已补齐生产数据。
AAMAS 的[官方论文集采集器](docs/aamas-proceedings.md)目前核验了 2012 版式,可从缓存或已校验快照采集标题、作者及页面提供的摘要;发表形式单独保存,全文/扩展摘要中未明确的投稿 track 保持待明确,不根据会话主题推定主会轨道。
`paper-atlas collect --help` 查看来源;`paper-atlas import --help` 查看导入方式。完整批次步骤见[使用指南](docs/usage.md)。
共享实例名为 `foundry-postgres`,数据位于 `foundry_data` 库的 `research` schema;其他项目可按权限复用同一组表。库名通过 libpq service 配置、schema 通过 search_path 或 `--pg-schema` 指定,不写死在查询中。PostgreSQL 凭据放在服务器权限为 `0600` 的 libpq service 文件中;命令行只使用服务名称。`paper-atlas maintain postgres --help` 提供迁移入口:先完整核验 21 张业务表,再发布目标 schema。SQLite FTS5 内部表由 PostgreSQL GIN 索引替代。切换后 SQLite 为只读备份;`import records`、`import arxiv` 和 `maintain backfill` 使用 `--pg-service foundry-research` 写入主库,整个写入会话只允许一个协调写入者,会议文件失败时整体回滚并保留失败批次记录。
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@@ -0,0 +1,43 @@
# AAMAS 官方论文集元数据
`paper_atlas.collectors.aamas` 是按需运行的采集适配器,通过统一入口 `collect aamas-proceedings` 使用。目前只支持已独立核验的 **AAMAS 2012** HTML 版式;其他年份需先核对官方目录和逐篇结构,再增加适配,不能仅替换年份。
## 来源与范围
[官方论文集介绍](https://www.ifaamas.org/Proceedings/aamas2012/)及其 Full Papers、Extended Abstracts、Demos、Doctorial Consortium Abstracts 四个栏目分别列出 136、146、28、24 条,共 334 条。旧 DBLP 候选卷的 310 条不能替代这四类官方目录,也不能全部标记为主会全文。栏目数量来自 2026-11-09 冻结的原始页面;页面结构或数量发生变化时,采集器停止,留待重新核验。
采集标题、逐篇作者、页面实际提供的摘要、官方条目 ID、目录锚点和 PDF 地址。**只保存 PDF 链接,不下载 PDF。** 全文页面的摘要藏在标题链接内部的 `abstract` 元素,作者链接里的 “has N papers” 是界面徽标,二者不会混入标题或姓名。未提供的摘要保存为 `null`,不会用标题、说明文字或其他论文填充。
官方介绍说明了 general、robotics、virtual agents、innovative applications 等投稿轨道,但逐篇目录的主题会话不能独立证明某篇论文的投稿轨道。因此全文和扩展摘要均使用 `proceedings_unspecified`;演示、博士栏目使用 `demo`、`doctoral`。发表形式保留在 `metadata.publication_format` 和 `aamas_proceedings:publication_format` 标签中,会话原文单独保存。它们不是研究类型标注,也不会写入自定义 annotation。
目录条目仅提供发表录用证据,不是原始决定信。`observed_at` 是页面采集时间,不能当作 2012 年的决定日期;官方介绍中的投稿、撤稿、录用汇总数不能识别逐篇拒稿或撤稿,采集器不会由总量相减生成这些决定。
## 运行
在已确认的远程运行环境中,使用 HTTP 缓存采集:
```sh
paper-atlas collect aamas-proceedings --year 2012 \
--cache /data/paper-index/cache/aamas \
--out /data/paper-index/collected/aamas-2012
```
也可使用已冻结的官方页面:
```sh
paper-atlas collect aamas-proceedings --year 2012 \
--snapshots /data/paper-index/collected/historical-next-source-evidence-v1 \
--out /data/paper-index/collected/aamas-2012
```
快照目录需含 `receipts.json`,其中每个响应包含原始 `url`、HTTP `status`、相对 `file`、`bytes`、`sha256` 和 `finished_at`。要求五个准确官方 URL 均唯一匹配且返回 200;验证全部字节数和哈希后才解析,不接受目录穿越或绝对文件路径。快照中其他来源的响应不会被当成 AAMAS 页面。
输出为按数据库 track 分组的三个 JSONL 文件和对应 manifest、五份原始 HTML 证据,以及最后写出的 `aamas-proceedings-2012.json` 采集报告。锁文件避免同一输出目录并发运行。manifest 始终为 `partial`,记录发表形式数量和缺失摘要数;**采集命令不连接数据库,也不导入。**
## 复核与恢复
每条记录携带对应官方页面的 URL、采集时间、字节数、SHA-256 与输出内证据路径。重新运行前先检查已有采集报告和文件哈希;采集中断不等于主库已导入,报告缺失或哈希不一致的目录不能直接作为导入队列。输出中的原始证据应随文件一起保存。
生产导入前仍需单独与主库核验稳定标识、标题、作者及已有投稿,按证据补充 DOI/arXiv 等标识;目录页上的作者计数徽标和会话 ID 不能作为这些标识。需要另建经过核验的增量清单、保护旧历史,完成独立验收后才能计入覆盖。跨来源同一论文不得仅因同题就新增或合并投稿。
本功能的代码、测试或采集成功均不代表 AAMAS 2012 已导入生产,也不证明拒稿全集完整。全库最终去重、摘要和来源覆盖验收属于独立后续阶段。
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@@ -190,3 +190,7 @@ WWW早期逐来源核查见 `www-early-proceedings-2026-11-08.json`:1995春季
WWW事件标识生产迁移已独立验收(报告SHA `f5dbb8a8`):保留1399个原届次字段及IDs、59个Fall投稿和完整全库历史哈希。服务器已缓存46个官方HTML来源(约223KB),只作为后续维护式采集器的输入;尚未补导早期WWW论文,也未启用可选注解表。
IJCAI 联办届次的逐条后续核查见 [2018/2022 分区与目录差集](ijcai-sections-2026-11-08.md) 和 [稳定 ID 映射](ijcai-sections-2026-11-08.json)。已定位 345 条非 main 分类及 2022 官方 HTML 缺失但官方文件仍存在的一条记录;生产分类尚未修正,不能把整卷数量作为 main 覆盖率。
2026年11月9日的[当前历史年度缺口核对](historical-gaps-2026-11-09.md)单列135个历史会议—年份、14个2026年度及85个经范围修正的初步候选来源年度;它使用当前生产edition/别名快照,保留原固定快照不变。年度有记录不等于逐篇、逐track或公开拒稿历史完整。
[早期NLP来源范围复核](historical-source-scope-2026-11-09.md)保留3份官方网页的响应哈希,排除4个COLING卷对ACL缺口的误匹配,并区分会议举办记录、目录可获取性与论文级覆盖;尚未导入或关闭这些年度缺口。
@@ -0,0 +1,867 @@
{
"snapshot_at": "2026-11-08 16:34:40.741334+00:00",
"scope": "Official first-pass conference-year census vs current populated editions and real aliases. Missing year means no imported attempt in that year, not missing paper count or proof all other years complete. Includes announced/nonarchival exceptions below.",
"venues": [
{
"venue": "NeurIPS",
"expected_years": 40,
"observed_expected_years": 39,
"missing_years": [
2026
],
"missing_count": 1,
"canonical_matches": [
"NeurIPS"
]
},
{
"venue": "ICML",
"expected_years": 43,
"observed_expected_years": 14,
"missing_years": [
1980,
1983,
1985,
1987,
1988,
1989,
1990,
1991,
1992,
1993,
1994,
1995,
1996,
1997,
1998,
1999,
2000,
2001,
2002,
2003,
2004,
2005,
2006,
2007,
2008,
2009,
2010,
2011,
2012
],
"missing_count": 29,
"canonical_matches": [
"ICML"
]
},
{
"venue": "ICLR",
"expected_years": 14,
"observed_expected_years": 11,
"missing_years": [
2014,
2015,
2016
],
"missing_count": 3,
"canonical_matches": [
"ICLR"
]
},
{
"venue": "COLM",
"expected_years": 3,
"observed_expected_years": 3,
"missing_years": [],
"missing_count": 0,
"canonical_matches": [
"COLM"
]
},
{
"venue": "COLT",
"expected_years": 39,
"observed_expected_years": 39,
"missing_years": [],
"missing_count": 0,
"canonical_matches": [
"COLT"
]
},
{
"venue": "AISTATS",
"expected_years": 29,
"observed_expected_years": 25,
"missing_years": [
1985,
1989,
1991,
1993
],
"missing_count": 4,
"canonical_matches": [
"AISTATS"
]
},
{
"venue": "UAI",
"expected_years": 42,
"observed_expected_years": 42,
"missing_years": [],
"missing_count": 0,
"canonical_matches": [
"UAI"
]
},
{
"venue": "CLeaR",
"expected_years": 5,
"observed_expected_years": 5,
"missing_years": [],
"missing_count": 0,
"canonical_matches": [
"CLEAR"
]
},
{
"venue": "ACL",
"expected_years": 64,
"observed_expected_years": 48,
"missing_years": [
1963,
1964,
1965,
1966,
1967,
1968,
1969,
1970,
1971,
1972,
1973,
1974,
1975,
1976,
1977,
1978
],
"missing_count": 16,
"canonical_matches": [
"ACL",
"ACL+COLING",
"ACL+EACL"
]
},
{
"venue": "EMNLP",
"expected_years": 31,
"observed_expected_years": 31,
"missing_years": [],
"missing_count": 0,
"canonical_matches": [
"CoNLL+EMNLP",
"EMNLP"
]
},
{
"venue": "NAACL",
"expected_years": 18,
"observed_expected_years": 18,
"missing_years": [],
"missing_count": 0,
"canonical_matches": [
"NAACL"
]
},
{
"venue": "EACL",
"expected_years": 19,
"observed_expected_years": 19,
"missing_years": [],
"missing_count": 0,
"canonical_matches": [
"ACL+EACL",
"EACL"
]
},
{
"venue": "COLING",
"expected_years": 31,
"observed_expected_years": 28,
"missing_years": [
1971,
1976,
1978
],
"missing_count": 3,
"canonical_matches": [
"ACL+COLING",
"COLING",
"COLING+LREC"
]
},
{
"venue": "CoNLL",
"expected_years": 30,
"observed_expected_years": 30,
"missing_years": [],
"missing_count": 0,
"canonical_matches": [
"CoNLL",
"CoNLL+EMNLP"
]
},
{
"venue": "CVPR",
"expected_years": 39,
"observed_expected_years": 14,
"missing_years": [
1983,
1985,
1986,
1988,
1989,
1991,
1992,
1993,
1994,
1996,
1997,
1998,
1999,
2000,
2001,
2003,
2004,
2005,
2006,
2007,
2008,
2009,
2010,
2011,
2012
],
"missing_count": 25,
"canonical_matches": [
"CVPR"
]
},
{
"venue": "ICCV",
"expected_years": 20,
"observed_expected_years": 7,
"missing_years": [
1987,
1988,
1990,
1993,
1995,
1998,
1999,
2001,
2003,
2005,
2007,
2009,
2011
],
"missing_count": 13,
"canonical_matches": [
"ICCV"
]
},
{
"venue": "ECCV",
"expected_years": 19,
"observed_expected_years": 4,
"missing_years": [
1990,
1992,
1994,
1996,
1998,
2000,
2002,
2004,
2006,
2008,
2010,
2012,
2014,
2016,
2026
],
"missing_count": 15,
"canonical_matches": [
"ECCV"
]
},
{
"venue": "AAAI",
"expected_years": 40,
"observed_expected_years": 40,
"missing_years": [],
"missing_count": 0,
"canonical_matches": [
"AAAI",
"AAAI+IAAI"
]
},
{
"venue": "IJCAI",
"expected_years": 35,
"observed_expected_years": 35,
"missing_years": [],
"missing_count": 0,
"canonical_matches": [
"ECAI+IJCAI",
"IJCAI"
]
},
{
"venue": "ECAI",
"expected_years": 29,
"observed_expected_years": 27,
"missing_years": [
1974,
1980
],
"missing_count": 2,
"canonical_matches": [
"ECAI",
"ECAI+IJCAI"
]
},
{
"venue": "KDD",
"expected_years": 32,
"observed_expected_years": 32,
"missing_years": [],
"missing_count": 0,
"canonical_matches": [
"KDD"
]
},
{
"venue": "SIGIR",
"expected_years": 50,
"observed_expected_years": 50,
"missing_years": [],
"missing_count": 0,
"canonical_matches": [
"SIGIR"
]
},
{
"venue": "WWW",
"expected_years": 33,
"observed_expected_years": 27,
"missing_years": [
1994,
1996,
1997,
1998,
1999,
2000
],
"missing_count": 6,
"canonical_matches": [
"WWW"
]
},
{
"venue": "WSDM",
"expected_years": 19,
"observed_expected_years": 19,
"missing_years": [],
"missing_count": 0,
"canonical_matches": [
"WSDM"
]
},
{
"venue": "RecSys",
"expected_years": 20,
"observed_expected_years": 19,
"missing_years": [
2026
],
"missing_count": 1,
"canonical_matches": [
"RecSys"
]
},
{
"venue": "CIKM",
"expected_years": 35,
"observed_expected_years": 34,
"missing_years": [
2026
],
"missing_count": 1,
"canonical_matches": [
"CIKM"
]
},
{
"venue": "ICDM",
"expected_years": 26,
"observed_expected_years": 25,
"missing_years": [
2026
],
"missing_count": 1,
"canonical_matches": [
"ICDM"
]
},
{
"venue": "SDM",
"expected_years": 26,
"observed_expected_years": 25,
"missing_years": [
2026
],
"missing_count": 1,
"canonical_matches": [
"SDM"
]
},
{
"venue": "ECML-PKDD",
"expected_years": 38,
"observed_expected_years": 33,
"missing_years": [
1986,
1987,
1988,
1989,
1991
],
"missing_count": 5,
"canonical_matches": [
"ECML",
"ECML-PKDD",
"PKDD"
]
},
{
"venue": "ICRA",
"expected_years": 43,
"observed_expected_years": 43,
"missing_years": [],
"missing_count": 0,
"canonical_matches": [
"ICRA"
]
},
{
"venue": "IROS",
"expected_years": 39,
"observed_expected_years": 35,
"missing_years": [
1988,
1989,
1990,
2026
],
"missing_count": 4,
"canonical_matches": [
"IROS"
]
},
{
"venue": "RSS",
"expected_years": 22,
"observed_expected_years": 20,
"missing_years": [
2025,
2026
],
"missing_count": 2,
"canonical_matches": [
"RSS"
]
},
{
"venue": "CoRL",
"expected_years": 10,
"observed_expected_years": 9,
"missing_years": [
2026
],
"missing_count": 1,
"canonical_matches": [
"CORL"
]
},
{
"venue": "ICAPS",
"expected_years": 37,
"observed_expected_years": 28,
"missing_years": [
1990,
1991,
1992,
1993,
1995,
1997,
1999,
2001,
2026
],
"missing_count": 9,
"canonical_matches": [
"AIPS",
"ICAPS"
]
},
{
"venue": "KR",
"expected_years": 23,
"observed_expected_years": 23,
"missing_years": [],
"missing_count": 0,
"canonical_matches": [
"KR"
]
},
{
"venue": "AAMAS",
"expected_years": 25,
"observed_expected_years": 22,
"missing_years": [
2012,
2025,
2026
],
"missing_count": 3,
"canonical_matches": [
"AAMAS"
]
},
{
"venue": "ICASSP",
"expected_years": 51,
"observed_expected_years": 49,
"missing_years": [
1977,
2026
],
"missing_count": 2,
"canonical_matches": [
"ICASSP"
]
},
{
"venue": "INTERSPEECH",
"expected_years": 39,
"observed_expected_years": 39,
"missing_years": [],
"missing_count": 0,
"canonical_matches": [
"ECST",
"EUROSPEECH",
"ICSLP",
"INTERSPEECH"
]
},
{
"venue": "ISMIR",
"expected_years": 27,
"observed_expected_years": 26,
"missing_years": [
2026
],
"missing_count": 1,
"canonical_matches": [
"ISMIR"
]
},
{
"venue": "MICCAI",
"expected_years": 29,
"observed_expected_years": 29,
"missing_years": [],
"missing_count": 0,
"canonical_matches": [
"MICCAI"
]
},
{
"venue": "FAccT",
"expected_years": 9,
"observed_expected_years": 9,
"missing_years": [],
"missing_count": 0,
"canonical_matches": [
"FAccT"
]
},
{
"venue": "MLSys",
"expected_years": 9,
"observed_expected_years": 8,
"missing_years": [
2018
],
"missing_count": 1,
"canonical_matches": [
"MLSys"
]
},
{
"venue": "MM",
"expected_years": 34,
"observed_expected_years": 33,
"missing_years": [
2026
],
"missing_count": 1,
"canonical_matches": [
"MM"
]
}
],
"expected_venue_years": 1266,
"missing_venue_years": 150,
"venues_with_missing_years": 25,
"known_nonpublication_exceptions": [
{
"venue": "NeurIPS",
"year": 2026,
"reason": "announced;not in proceedings index at census"
},
{
"venue": "CoRL",
"year": 2026,
"reason": "not in publisher proceedings index at census"
},
{
"venue": "MLSys",
"year": 2018,
"reason": "first non-archival SysML meeting; not a missing formal publication volume"
}
],
"historical_missing_years_excluding_nonarchival_2018": 135,
"historical_venues_with_missing_years": 16,
"historical_gaps": [
{
"venue": "ICML",
"years": [
1980,
1983,
1985,
1987,
1988,
1989,
1990,
1991,
1992,
1993,
1994,
1995,
1996,
1997,
1998,
1999,
2000,
2001,
2002,
2003,
2004,
2005,
2006,
2007,
2008,
2009,
2010,
2011,
2012
]
},
{
"venue": "ICLR",
"years": [
2014,
2015,
2016
]
},
{
"venue": "AISTATS",
"years": [
1985,
1989,
1991,
1993
]
},
{
"venue": "ACL",
"years": [
1963,
1964,
1965,
1966,
1967,
1968,
1969,
1970,
1971,
1972,
1973,
1974,
1975,
1976,
1977,
1978
]
},
{
"venue": "COLING",
"years": [
1971,
1976,
1978
]
},
{
"venue": "CVPR",
"years": [
1983,
1985,
1986,
1988,
1989,
1991,
1992,
1993,
1994,
1996,
1997,
1998,
1999,
2000,
2001,
2003,
2004,
2005,
2006,
2007,
2008,
2009,
2010,
2011,
2012
]
},
{
"venue": "ICCV",
"years": [
1987,
1988,
1990,
1993,
1995,
1998,
1999,
2001,
2003,
2005,
2007,
2009,
2011
]
},
{
"venue": "ECCV",
"years": [
1990,
1992,
1994,
1996,
1998,
2000,
2002,
2004,
2006,
2008,
2010,
2012,
2014,
2016
]
},
{
"venue": "ECAI",
"years": [
1974,
1980
]
},
{
"venue": "WWW",
"years": [
1994,
1996,
1997,
1998,
1999,
2000
]
},
{
"venue": "ECML-PKDD",
"years": [
1986,
1987,
1988,
1989,
1991
]
},
{
"venue": "IROS",
"years": [
1988,
1989,
1990
]
},
{
"venue": "RSS",
"years": [
2025
]
},
{
"venue": "ICAPS",
"years": [
1990,
1991,
1992,
1993,
1995,
1997,
1999,
2001
]
},
{
"venue": "AAMAS",
"years": [
2012,
2025
]
},
{
"venue": "ICASSP",
"years": [
1977
]
}
],
"current_2026_gaps": 14
}
@@ -0,0 +1,58 @@
# 历史年度缺口的当前核对
生产只读快照:2026-11-08 16:34:40.741334 UTC(北京时间11月9日00:34),foundry_data/research。对比已核实的43份首轮官方会议年度清单,使用当前有投稿记录的edition及真实venue_aliases,不沿用旧固定快照的missing_years。
- 清单共1266个会议—年份位置,当前有150个位置尚无投稿记录,涉及25个目标会议。
- 其中2025年及以前136个;排除已明确非存档的SysML2018首届,剩**135个历史年度待补采或核实,涉及16个会议**。
- 另有14个2026年度待核实。已知NeurIPS2026和CoRL2026在首轮核查时尚未进入论文集索引,不能一律当已公开论文遗漏;其他年度也需逐个核实发布时间。
这些是“整年没有任何投稿记录”的数量,不是缺论文篇数,也不是完整性百分比。一个年份只有少数记录、只有公开拒稿或缺了某个track,仍会被计作“已有年度”;这些更细缺口及公开拒稿的逐年可获得性尚须继续核验。会议别名共享的联合届次不能当成两批独立论文,未见录用也不能推断拒稿。
| 会议 | 历史缺口年份数 |
| --- | ---: |
| ICML | 29 |
| CVPR | 25 |
| ACL | 16 |
| ECCV | 14 |
| ICCV | 13 |
| ICAPS | 8 |
| WWW | 6 |
| ECML-PKDD | 5 |
| AISTATS | 4 |
| ICLR、COLING、IROS | 各3 |
| ECAI、AAMAS | 各2 |
| RSS、ICASSP | 各1 |
[完整逐年结果](historical-gaps-2026-11-09.json) 保留43目标的官方预期、现有年份数、缺失年份与规范会议匹配。原始只读生产导出保存在 `/data/paper-index/collected/historical-gap-current-20261109-v1.json`。 导出SHA256 `580cdea6dd9869adafe9bc28fb75cf3854bb290ad65aa5a600d9bc368a528b93`。年度对照清单为 `docs/coverage/inventory-2026-11-08.json`;候选来源文件绑定的输入哈希与本目录缺口JSON逐字节一致。来源清单的年份和哈希沿用相应 `*-editions-2026-11-08.json`,不是本轮重新访问所有会议网站;2026发布状态需要后续更新。
## 候选来源与下一步
另一次只读目录核查在现有、已校验的DBLP快照中,为135个历史年度中的**85个**匹配到初步候选论文集,另**50个**尚未按本轮规则匹配到,需要继续识别目录键或寻找官方来源。未匹配不等于会议没举办、未出版或没有公开来源。
[候选卷清单](historical-source-candidates-2026-11-09.json) 保留卷key、标题、出版年份、原始bibliographic counts和出版者链接。初筛使用目标family映射内的四位卷key年份或卷标题唯一显式年份,再按具体会议身份复核;两位键、出版年份与会议年份差异、前身系列及其他目录命名可能漏匹配。原始计数可能含workshop、前言、索引或多个卷,**不能当可直接导入的录用论文数量**。
后续[来源范围复核](historical-source-scope-2026-11-09.md)排除了4个误归ACL的COLING卷,因此候选年度由89修正为85、未匹配年度由46增至50。原卷及排除理由保留在JSON中;135个历史年度缺口不因此改变。ACL1963–1978与COLING1971/1976/1978在当前Anthology目录未列出,继续记为来源待核实,不能一律称作已公开但漏采的论文集。
优先核查已有候选卷较集中的CVPR22年、ICCV12年、ECCV14年和ICML25年。其中ICML早期workshop名称可能属于官方主系列前身,也可能是附属workshop,须对照官方届次证据逐卷区分,不能靠标题包含workshop一刀切。所有候选须经过范围、稳定标识、重复/冲突、原始字段和覆盖预检;这一步没有导入候选卷。
## 复核方法
只读获取当前有记录的edition,不连接papers大文本或标签表:
```sql
WITH counts AS (
SELECT edition_id,count(*) AS submissions
FROM submissions GROUP BY edition_id
)
SELECT e.id,e.venue_id,v.acronym,e.year,e.track,e.event_key,counts.submissions
FROM editions e JOIN venues v ON v.id=e.venue_id
JOIN counts ON counts.edition_id=e.id ORDER BY e.id;
SELECT venue_id,alias FROM venue_aliases ORDER BY venue_id,alias;
```
逐目标取规范会议名或别名相等的edition年份集合,与该目标edition_census.expected_years做集合差;再把2026与明确非存档的SysML2018单列。保留原始导出与校验哈希,不把每个matched year误当逐篇/逐track完整。
与本清单同一阶段的WWW补采只补1995年现有poster轨道,不新增缺失年度,所以即使其15条增量已验收,135这个年度计数也不会随之下降。早期1994年的50条正式展示候选、307条混合节目候选共357条仍需核实;其中并非每条都是论文。
本清单用于明确第14步剩余范围,不代表第14步完成,也不替代所有导入结束后的第16步全库去重、摘要、约束和实际查询验收。
@@ -0,0 +1,33 @@
# ICML 与 IROS 早期主系列的来源范围
本轮修正采集阶段的届次识别,不修改任何现有生产投稿轨道或历史。正式主系列曾以Workshop命名,不等于附属workshop;也不能反过来把所有旧workshop升为主会。
## 已核实的精确范围
| 会议 | 论文集键 | 依据与行为 |
| --- | --- | --- |
| ICML | `conf/icml/1988`、`1989`、`1990`、`1991`、`1992` | [官方历史](https://icml.cc/Conferences/2008/past_icmls.shtml.html)将其列为第5–9届,年份与举办地对应固定目录中的完整标题。1989/1991/1992的Workshop名称不再导致主系列被默认排除;1988/1990保留main并增加来源范围证据 |
| IROS | `conf/iros/1988`、`1989`、`1990` | [IEEE RAS官方历届目录](https://www.ieee-ras.org/conferences-workshops/financially-co-sponsored/iros/iros-past-and-future-venues/)列出三届与论文集链接,地点及日期对应固定目录标题;这些是IROS主系列 |
规则同时要求family、booktitle基础别名(ML或IROS)、空轨道后缀、完整精确论文集键、匹配的事件年份及固定完整标题。仍执行原有书目年份核查:与事件年不同且标题无明确事件年时拒绝推断。ML91原始标题没有四位年份,使用精确1991卷键、完整标题、逐篇书目年和官方第8届记录,不从两位标题代码猜世纪。
`1991w`/`1988w`等卷键、booktitle中的Workshops后缀、不同届次/地点/完整标题、未列入的年份均不会获得上述主系列豁免。AISTATS/COLT既有精确规则保留;真正的附属workshop仍受默认不采集workshop的边界约束。
## 原始字段、决定与后续导入
采集器仍保存原始proceedings标题(包括Workshop)、书目年、原始作者名、完整来源书目字段及稳定标识;新增 `track_scope_note` 与官方 `track_scope_evidence_url`。接受状态仍只源自该论文的inproceedings书目证据;不从历史目录生成占位论文或拒稿,也不重新导入已经存在的记录。
新规则的输出必须重新做原始来源/标题/作者/稳定标识与现有库冲突预检,再按增量导入。此前被隔离的ICML1988/1990记录不能仅凭代码规则而直接解除全部冲突。当前正在运行的历史批次使用原固定版本和文件,不能在运行中替换其源码或输入。
## 验证与证据
新增回归覆盖:ICML三届Workshop名称、IROS最初三届、ICML原Conference名称的两届、错误卷键/后缀/标题/未知年份,以及归一化记录经过原生文件导入后保留轨道证据。构建与测试仅在已授权的ces-control远程runner执行,本机仅做语法和文本/JSON一致性检查;结果以相应commit的CI回执为准。
官方HTML在工作证据目录 `paper-index/historical-primary-series-evidence-v1/`,附响应状态、字节数、时间与SHA256;仅取元数据网页,没有下载论文全文。
| 来源 | UTC采样时间 | HTTP | 字节数 | SHA256 |
| --- | --- | ---: | ---: | --- |
| [icml-history](https://icml.cc/Conferences/2008/past_icmls.shtml.html) | 2026-11-08T18:36:43.043135+00:00 | 200 | 11993 | `80cce886fe985551339a52b13c4077acf827e8fcc01555f854dc24077bdebdf0` |
| [iros-history](https://www.ieee-ras.org/conferences-workshops/financially-co-sponsored/iros/iros-past-and-future-venues/) | 2026-11-08T18:36:45.687171+00:00 | 200 | 466059 | `fdb4594621e68567e1099f5c88aae53de835b7b8146025148c3b1968df990697` |
本次不关闭历史年度缺口,也不替代全部导入后的全库去重、来源/年度/track覆盖、摘要和实际查询验收。
File diff suppressed because it is too large Load Diff
@@ -0,0 +1,32 @@
# 早期 NLP 来源范围复核
核查时间:2026-11-08 18:27 UTC(北京时间11月9日)。本轮只修正来源候选和记录可获得性,没有操作生产数据库。
## 跨会议候选修正
先前候选清单将 `conf/coling/1965`、`1967`、`1969`、`1973` 匹配到 ACL 年会缺口。这四卷标题明确属于 COLING;[COLING 官方 Anthology 目录](https://aclanthology.org/venues/coling/)将它们列在 COLING 下。出版者写作 ACL 或目标映射包含 COLING,不足以证明某一年是 ACL 联办届次。
从 ACL 候选中排除上述四卷,原始卷字段和排除理由保留在[候选JSON](historical-source-candidates-2026-11-09.json)的 `excluded_cross_venue_candidates` 中。135个历史会议—年份位置仍未关闭;有初步候选来源的年度由89修正为85,尚未匹配的由46增至50。这些数字是目录初筛结果,不是已验证可导入的论文数。
联合届次仍按具体年度的明确会议身份处理,例如有官方联办证据的卷可以属于多个会议。不能一律排除跨family卷,也不能把联合卷重复导入为两批论文。
## 来源待核实的早期年份
| 范围 | 本轮官方来源观察 | 处理 |
| --- | --- | --- |
| ACL 1963–1978,共16年 | [ACL 官方 Anthology 目录](https://aclanthology.org/venues/acl/)目前从1979年列起 | 保留历史举办清单;逐年核实是否有可索引发表材料,不能据会议举办就断言漏采正式论文集,也不据目录缺失断言未出版 |
| COLING 1971、1976、1978 | [主办委员会历史](https://ufal.mff.cuni.cz/iccl-old)列出这三届;当前Anthology COLING目录未列出 | 来源缺口继续开放,需要主办方或出版者逐篇索引;不生成占位论文或录用/拒稿记录 |
这19个位置不能用其他会议的卷补齐,也不能因本轮未找到目录而删除。公开拒稿可获得性是独立核查,不从论文集或录用清单缺失推断。
## 证据与复核
三份原始HTML及 `receipts.json` 保存在工作证据目录 `paper-index/nlp-history-source-review-v1/`;结构化响应URL、时间、状态、字节数和完整SHA256收录于候选JSON的 `scope_review.evidence`。三次响应均为HTTP200;未获取论文全文。
| 官方来源 | 响应SHA256 |
| --- | --- |
| [acl-venue](https://aclanthology.org/venues/acl/) | `d04c188c0769e065f18ca9c0246f70086e2f7027ce3efe5ea0f2cdc641796b72` |
| [coling-venue](https://aclanthology.org/venues/coling/) | `8e7ec0a2915bfbccaa26b7a7558a9cf977c4aadc119794516ecebb826f61623f` |
| [iccl-history](https://ufal.mff.cuni.cz/iccl-old) | `c5286dc51236c90685d22543ff1f7b209adcb3eedb82a7b1ac2115c8dd0169fc` |
复核时先校验保存的原始响应哈希,再读取目录中的会议身份和年度。实时网页若已变化,应另存新响应和时间,不能把新内容套用旧哈希。本次不改最初会议年度清单或生产年度快照,不代表第14步覆盖验收或第16步最终全库审计完成。
+1
View File
@@ -23,6 +23,7 @@ COMMANDS = {
('collect','mlsys'): ('paper_atlas.collectors.proceedings', {'source':'mlsys'}, 'MLSys 官方历年标题与摘要'),
('collect','cvf'): ('paper_atlas.collectors.vision', {'source':'cvf'}, 'CVPR / ICCV 官方开放目录'),
('collect','ecva'): ('paper_atlas.collectors.vision', {'source':'ecva'}, 'ECCV 官方开放目录'),
('collect','aamas-proceedings'): ('paper_atlas.collectors.aamas', {}, '按官方目录区分 AAMAS 发表形式和摘要'),
('collect','www-archive'): ('paper_atlas.collectors.www_archive', {}, '核验早期WWW官方档案并分开待核查条目'),
('collect','dblp'): ('paper_atlas.collectors.dblp_records', {}, '核对并整理 DBLP 历史发表记录'),
('catalogue','dblp'): ('paper_atlas.collectors.dblp', {}, '盘点 DBLP 历史会议目录'),
+210
View File
@@ -0,0 +1,210 @@
"""Official AAMAS proceedings metadata, with publication format separate from track."""
import argparse
from collections import Counter, defaultdict
import fcntl
import hashlib
import json
from pathlib import Path
import re
import tempfile
from urllib.parse import urljoin, urlsplit
from paper_atlas.db.submissions import timestamp
from paper_atlas.io.html import Document, Node, clean
from paper_atlas.io.http import fetch
SOURCE = 'aamas_proceedings'
ROOT = 'https://www.ifaamas.org/Proceedings/aamas2012/'
# Counts independently checked against the frozen publisher sections. This
# adapter deliberately refuses other editions/layouts until they are reviewed.
SECTIONS = {
'fullpapers': ('Full Papers', 'full_paper', 'proceedings_unspecified', 136),
'extabstracts': ('Extended Abstracts', 'extended_abstract', 'proceedings_unspecified', 146),
'demos': ('Demos', 'demo', 'demo', 28),
'doctorals': ('Doctorial Consortium Abstracts', 'doctoral_abstract', 'doctoral', 24),
}
def classes(node):
return set(node.attrs.get('class', '').split())
def text_without(node, omitted):
if node.tag in ('script', 'style') or classes(node) & omitted:
return ''
parts = [text_without(child, omitted) if isinstance(child, Node) else child
for child in node.children]
value = ''.join(parts)
return ' '+value+' ' if node.tag in ('p', 'div', 'section', 'li', 'br') else value
def one(nodes, description):
if len(nodes) != 1:
raise ValueError('Expected one '+description)
return nodes[0]
def parse_section(html, section, observed_at, evidence):
heading, publication_format, track, _ = SECTIONS[section]
document = Document(html)
titles = [clean(n.text()) for n in document.root.walk() if n.tag == 'title']
if titles != [heading+' - AAMAS 2012']:
raise ValueError('Unexpected proceedings edition or section title')
headings = [clean(n.text()) for n in document.root.walk() if n.tag == 'h1']
if headings != [heading]:
raise ValueError('Unexpected proceedings section heading')
url = ROOT+'resources/'+section+'.html'
records = []
seen = set()
session = None
for node in document.root.walk():
if node.tag == 'h2' and 'section' in classes(node):
session = {'id': node.attrs.get('id'), 'title': clean(node.text())}
if node.tag != 'div' or 'paper' not in classes(node):
continue
paper_id = node.attrs.get('id', '')
if not re.fullmatch(r'[A-Za-z0-9]+_[0-9]+', paper_id) or paper_id in seen:
raise ValueError('Missing or repeated publisher paper ID')
seen.add(paper_id)
title_node = one([n for n in node.walk() if n.tag == 'span' and 'title' in classes(n)], 'paper title')
link = one([n for n in title_node.children if isinstance(n, Node) and n.tag == 'a'], 'paper link')
paper_url = urljoin(url, link.attrs.get('href', ''))
if paper_url != ROOT+'papers/'+paper_id+'.pdf':
raise ValueError('Paper link differs from publisher ID or official host')
title = clean(text_without(link, {'abstract'}))
abstract_nodes = [n for n in link.walk() if n.tag == 'span' and 'abstract' in classes(n)]
if len(abstract_nodes) > 1:
raise ValueError('Multiple abstracts for one paper')
abstract = (clean(abstract_nodes[0].text()) or None) if abstract_nodes else None
author_node = one([n for n in node.walk() if n.tag == 'span' and 'authors' in classes(n)], 'author list')
author_display = clean(text_without(author_node, {'amount'}))
authors = [clean(name) for name in author_display.split(',')]
if not title or not author_display or any(not name for name in authors):
raise ValueError('Empty paper title or author')
tags = [{'namespace': 'aamas_proceedings:publication_format', 'value': publication_format}]
if session:
tags.append({'namespace': 'aamas_proceedings:session', 'value': session['title']})
records.append({
'source': SOURCE, 'external_id': '2012/'+paper_id,
'url': url+'#'+paper_id, 'title': title, 'abstract': abstract,
'authors': authors, 'identifiers': {}, 'venue': 'AAMAS', 'venue_aliases': [],
'year': 2012, 'track': track, 'status': 'accepted',
'observed_at': observed_at,
'raw_decision': 'listed in official AAMAS 2012 proceedings '+heading,
'metadata': {'publisher_paper_id': paper_id, 'paper_url': paper_url,
'section_url': url, 'section_heading': heading,
'publication_format': publication_format, 'session': session,
'authors_display': author_display, 'source_evidence': evidence,
'publication_evidence': 'official published proceedings entry; not an original decision note',
'track_scope_note': ('Full papers and extended abstracts include general and special submission tracks; '
'session topics do not establish an individual submission track.'
if track == 'proceedings_unspecified' else 'Explicit publisher section.'),
'decision_date_precision': 'not_supplied'},
'tags': tags})
if not records:
raise ValueError('No publisher paper entries found')
return records
def read_pages(cache=None, snapshots=None):
if bool(cache) == bool(snapshots):
raise ValueError('Choose exactly one HTTP cache or frozen snapshot directory')
urls = {'introduction': ROOT, **{key: ROOT+'resources/'+key+'.html' for key in SECTIONS}}
pages = {}
receipts = []
frozen = json.loads((Path(snapshots)/'receipts.json').read_text())['receipts'] if snapshots else []
for key, url in urls.items():
if snapshots:
receipt = one([r for r in frozen if r['url'] == url], 'frozen response receipt')
filename = Path(receipt['file'])
if filename.is_absolute() or '..' in filename.parts or receipt.get('status') != 200:
raise ValueError('Unsafe or unsuccessful frozen response')
data = (Path(snapshots)/filename).read_bytes()
if len(data) > 8*1024**2 or hashlib.sha256(data).hexdigest() != receipt['sha256'] or len(data) != receipt['bytes']:
raise ValueError('Frozen publisher response checksum or size mismatch')
observed = receipt['finished_at']
else:
data = fetch(url, cache, 8*1024**2, delay=1)
receipt = json.loads((Path(cache)/hashlib.sha256(url.encode()).hexdigest()).with_suffix('.json').read_text())
observed = receipt['retrieved_at']
evidence = {'url': url, 'sha256': hashlib.sha256(data).hexdigest(), 'bytes': len(data),
'file': 'evidence/'+hashlib.sha256(data).hexdigest()+'.html', 'observed_at': observed,
'http_status': 200, 'response_receipt': receipt}
pages[key] = (data, evidence)
receipts.append(evidence)
return pages, receipts
def _collect(year, out, *, cache=None, snapshots=None):
if year != 2012:
raise ValueError('Only the independently reviewed AAMAS 2012 layout is supported')
pages, receipts = read_pages(cache, snapshots)
intro = Document(pages['introduction'][0].decode('utf-8'))
if [clean(n.text()) for n in intro.root.walk() if n.tag == 'title'] != ['AAMAS 2012']:
raise ValueError('Unexpected proceedings introduction')
records = []
for section, (_, _, _, expected) in SECTIONS.items():
data, evidence = pages[section]
group = parse_section(data.decode('utf-8'), section, evidence['observed_at'], evidence)
if len(group) != expected:
raise ValueError('Publisher section count differs from reviewed inventory: '+section)
records.extend(group)
if len({r['external_id'] for r in records}) != len(records):
raise ValueError('Paper IDs collide across publisher sections')
grouped = defaultdict(list)
for record in records:
grouped[record['track']].append(record)
out = Path(out)
out.mkdir(parents=True, exist_ok=True)
files = []
with tempfile.TemporaryDirectory(prefix='.aamas-', dir=out) as temporary:
stage = Path(temporary)
(stage/'evidence').mkdir()
for data, evidence in pages.values():
(stage/evidence['file']).write_bytes(data)
for track, group in sorted(grouped.items()):
path = stage/f'aamas-proceedings-2012-{track}.jsonl'
path.write_text(''.join(json.dumps(r, ensure_ascii=False)+'\n' for r in group))
manifest = {'source': SOURCE, 'parser_version': 1, 'venue': 'AAMAS', 'year': 2012, 'track': track,
'count': len(group), 'file': str(out/path.name), 'file_sha256': hashlib.sha256(path.read_bytes()).hexdigest(),
'list_url': ROOT, 'status': 'partial', 'missing_abstract_count': sum(not r['abstract'] for r in group),
'publication_format_counts': dict(Counter(r['metadata']['publication_format'] for r in group)),
'note': 'Publisher sections verified; individual full/extended submission track, decision history and independent identities still need review.'}
path.with_suffix('.manifest.json').write_text(json.dumps(manifest, ensure_ascii=False, indent=2)+'\n')
files.append(manifest)
result = {'source': SOURCE, 'year': year, 'finished_at': timestamp(), 'status': 'collected_pending_identity_review',
'records': len(records), 'files': files, 'source_receipts': receipts,
'publication_format_counts': dict(Counter(r['metadata']['publication_format'] for r in records)),
'database_written': False, 'pdfs_downloaded': False,
'note': 'Aggregate submission/withdrawal totals do not identify individual rejected or withdrawn papers.'}
(stage/'aamas-proceedings-2012.json').write_text(json.dumps(result, ensure_ascii=False, indent=2)+'\n')
# Validated files first; write the completed collection report last.
(out/'evidence').mkdir(exist_ok=True)
for path in (stage/'evidence').iterdir():
path.replace(out/'evidence'/path.name)
for path in stage.iterdir():
if path.is_file() and path.name != 'aamas-proceedings-2012.json':
path.replace(out/path.name)
(stage/'aamas-proceedings-2012.json').replace(out/'aamas-proceedings-2012.json')
return result
def collect(year, out, *, cache=None, snapshots=None):
if year != 2012:
raise ValueError('Only the independently reviewed AAMAS 2012 layout is supported')
out = Path(out)
out.mkdir(parents=True, exist_ok=True)
with (out/'aamas.collect.lock').open('a') as lock:
fcntl.flock(lock, fcntl.LOCK_EX | fcntl.LOCK_NB)
return _collect(year, out, cache=cache, snapshots=snapshots)
def main(argv=None, *, prog=None):
parser = argparse.ArgumentParser(prog=prog)
parser.add_argument('--year', type=int, choices=[2012], required=True)
parser.add_argument('--out', required=True)
source = parser.add_mutually_exclusive_group(required=True)
source.add_argument('--cache')
source.add_argument('--snapshots')
args = parser.parse_args(argv)
print(json.dumps(collect(args.year, args.out, cache=args.cache, snapshots=args.snapshots), ensure_ascii=False))
+27
View File
@@ -54,7 +54,34 @@ HISTORICAL_WORKSHOP_TITLES = {
}
# Exact pinned volume titles corroborated by official series histories. The
# original title (including Workshop) remains in source metadata. In particular
# ML91 has no four-digit year in its title; its exact key/title and bibliographic
# year are checked independently, rather than guessing a title year.
HISTORICAL_PRIMARY_EVIDENCE = {
'icml': ('ML', 'https://icml.cc/Conferences/2008/past_icmls.shtml.html'),
'iros': ('IROS', 'https://www.ieee-ras.org/conferences-workshops/financially-co-sponsored/iros/iros-past-and-future-venues/'),
}
HISTORICAL_PRIMARY_TITLES = {
('icml', 1988): 'Machine Learning, Proceedings of the Fifth International Conference on Machine Learning, Ann Arbor, Michigan, USA, June 12-14, 1988',
('icml', 1989): 'Proceedings of the Sixth International Workshop on Machine Learning (ML 1989), Cornell University, Ithaca, New York, USA, June 26-27, 1989',
('icml', 1990): 'Machine Learning, Proceedings of the Seventh International Conference on Machine Learning, Austin, Texas, USA, June 21-23, 1990',
('icml', 1991): 'Proceedings of the Eighth International Workshop (ML91), Northwestern University, Evanston, Illinois, USA',
('icml', 1992): 'Proceedings of the Ninth International Workshop on Machine Learning (ML 1992), Aberdeen, Scotland, UK, July 1-3, 1992',
('iros', 1988): "IEEE International Workshop on Intelligent Robots and Systems '88, Proceedings. IROS 1988, Tokyo, Japan, October 31 - November 2, 1988",
('iros', 1989): "IEEE International Workshop on Intelligent Robots and Systems '89, Proceedings. IROS 1989, September 4-6, 1989, Tsukuba, Japan",
('iros', 1990): "IEEE International Workshop on Intelligent Robots and Systems '90, Towards a New Frontier of Applications, Proceedings. IROS 1990, July 3-6, 1990, Ibaraki, Japan",
}
def historical_track(family, base, suffix, volume_key, year, title):
primary = HISTORICAL_PRIMARY_EVIDENCE.get(family)
if (primary and not suffix and base.casefold() == primary[0].casefold()
and volume_key == f'conf/{family}/{year}'
and title == HISTORICAL_PRIMARY_TITLES.get((family, year))):
return ('main',
'Historical primary series; exact proceedings key, complete title and bibliographic/event year corroborated by official series history. Workshop in this original title is not an affiliated track.',
primary[1])
if suffix or base.casefold() != family or volume_key != f'conf/{family}/{year}':
return None
prefix = HISTORICAL_WORKSHOP_TITLES.get((family, year))
+151
View File
@@ -0,0 +1,151 @@
"""Publisher evidence, section boundaries and native-ingestion regression checks."""
import hashlib
import json
import re
from pathlib import Path
import sqlite3
import tempfile
import unittest
from unittest.mock import patch
from paper_atlas.collectors import aamas
from paper_atlas.ingestion.records import ingest_file
def paper(pid, abstract=True):
summary = '<span class="abstract">Research with <i>evidence</i>.<br>More detail.</span>' if abstract else ''
return f'''<div class="paper" id="{pid}"><span class="id">{pid}</span>
<p class="paper"><span class="title"><a href="../papers/{pid}.pdf">{summary}
A structured &amp; auditable paper {pid}</a></span><span class="authors">
<a href="authors.html#Jane">Jane Doe<span class="amount">has 7 papers</span></a>, Bob Smith
</span></p></div>'''
def page(section, pid, abstract=True):
heading = aamas.SECTIONS[section][0]
return (f'<html><head><title>{heading} - AAMAS 2012</title></head><body>'
f'<h1>{heading}</h1><h2 class="section" id="s-1A">Session 1A – Robotics I</h2>'
+paper(pid, abstract)+'</body></html>')
class AamasProceedingsTests(unittest.TestCase):
def snapshots(self, root):
root.mkdir()
receipts = []
items = {'introduction': ('<title>AAMAS 2012</title><p>Aggregate withdrawals do not identify papers.</p>', aamas.ROOT)}
for index, section in enumerate(aamas.SECTIONS):
items[section] = (page(section, f'P{index}_1', section != 'extabstracts'), aamas.ROOT+'resources/'+section+'.html')
for key, (html, url) in items.items():
data = html.encode()
(root/(key+'.html')).write_bytes(data)
receipts.append({'url': url, 'status': 200, 'file': key+'.html', 'bytes': len(data),
'sha256': hashlib.sha256(data).hexdigest(), 'finished_at': '2026-11-09T00:00:00+00:00'})
(root/'receipts.json').write_text(json.dumps({'receipts': receipts}))
return root
def test_hidden_abstract_and_author_badges_are_not_title_or_authors(self):
rows = aamas.parse_section(page('fullpapers', '1A_1'), 'fullpapers', '2026-11-09T00:00:00Z', {'sha256': 'proof'})
row, = rows
self.assertEqual(row['title'], 'A structured & auditable paper 1A_1')
self.assertEqual(row['abstract'], 'Research with evidence. More detail.')
self.assertEqual(row['authors'], ['Jane Doe', 'Bob Smith'])
self.assertEqual(row['metadata']['authors_display'], 'Jane Doe, Bob Smith')
self.assertEqual(row['url'], aamas.ROOT+'resources/fullpapers.html#1A_1')
self.assertEqual(row['metadata']['paper_url'], aamas.ROOT+'papers/1A_1.pdf')
self.assertEqual(row['metadata']['source_evidence'], {'sha256': 'proof'})
def test_publication_formats_and_session_topics_do_not_invent_submission_tracks(self):
for section, (_, fmt, track, _) in aamas.SECTIONS.items():
row, = aamas.parse_section(page(section, 'P_1', False), section, '2026-11-09T00:00:00Z', {})
self.assertEqual((row['track'], row['metadata']['publication_format']), (track, fmt))
self.assertIsNone(row['abstract'])
self.assertEqual(row['status'], 'accepted')
self.assertEqual(row['metadata']['decision_date_precision'], 'not_supplied')
self.assertEqual(row['metadata']['session']['title'], 'Session 1A – Robotics I')
self.assertIn({'namespace': 'aamas_proceedings:publication_format', 'value': fmt}, row['tags'])
self.assertEqual(aamas.SECTIONS['fullpapers'][2], 'proceedings_unspecified')
self.assertEqual(aamas.SECTIONS['extabstracts'][2], 'proceedings_unspecified')
def test_changed_edition_section_duplicate_id_or_pdf_link_is_rejected(self):
html = page('fullpapers', '1A_1')
for changed in [html.replace('AAMAS 2012', 'AAMAS 2025'),
html.replace('<h1>Full Papers</h1>', '<h1>Rejected Papers</h1>'),
html.replace('</body>', paper('1A_1')+'</body>'),
html.replace('../papers/1A_1.pdf', 'https://example.org/1A_1.pdf'),
html.replace('../papers/1A_1.pdf', '../papers/1A_2.pdf')]:
with self.subTest(changed=changed):
with self.assertRaises(ValueError):
aamas.parse_section(changed, 'fullpapers', '2026-11-09T00:00:00Z', {})
def test_frozen_responses_require_checksums_success_and_safe_paths(self):
for failure in ['checksum', 'status', 'path']:
with self.subTest(failure=failure), tempfile.TemporaryDirectory() as temporary:
root = self.snapshots(Path(temporary)/'source')
path = root/'receipts.json'
receipts = json.loads(path.read_text())
item = receipts['receipts'][0]
if failure == 'checksum': item['sha256'] = '0'*64
elif failure == 'status': item['status'] = 404
else: item['file'] = '../outside.html'
path.write_text(json.dumps(receipts))
with self.assertRaises(ValueError):
aamas.read_pages(snapshots=root)
def test_reviewed_section_counts_and_year_are_required(self):
with tempfile.TemporaryDirectory() as temporary:
root = Path(temporary)
source = self.snapshots(root/'source')
with self.assertRaises(ValueError):
aamas.collect(2012, root/'out', snapshots=source)
self.assertFalse((root/'out/aamas-proceedings-2012.json').exists())
with self.assertRaises(ValueError):
aamas.collect(2025, root/'future', snapshots=source)
self.assertFalse((root/'future').exists())
def test_ids_colliding_across_sections_do_not_produce_a_completed_collection(self):
with tempfile.TemporaryDirectory() as temporary:
root = Path(temporary)
source = self.snapshots(root/'source')
receipts_path = source/'receipts.json'
receipts = json.loads(receipts_path.read_text())
for item in receipts['receipts'][1:]:
path = source/item['file']
data = re.sub(r'P[0-9]_1', 'SAME_1', path.read_text()).encode()
path.write_bytes(data)
item.update(bytes=len(data), sha256=hashlib.sha256(data).hexdigest())
receipts_path.write_text(json.dumps(receipts))
small = {key: (*value[:3], 1) for key, value in aamas.SECTIONS.items()}
with patch.dict(aamas.SECTIONS, small, clear=True), self.assertRaises(ValueError):
aamas.collect(2012, root/'out', snapshots=source)
self.assertFalse((root/'out/aamas-proceedings-2012.json').exists())
def test_collection_and_native_ingestion_preserve_formats_evidence_and_missing_abstracts(self):
with tempfile.TemporaryDirectory() as temporary:
root = Path(temporary)
source = self.snapshots(root/'source')
small = {key: (*value[:3], 1) for key, value in aamas.SECTIONS.items()}
with patch.dict(aamas.SECTIONS, small, clear=True):
result = aamas.collect(2012, root/'out', snapshots=source)
self.assertEqual(result['records'], 4)
self.assertEqual(len(result['files']), 3)
self.assertFalse(result['database_written'])
self.assertFalse(result['pdfs_downloaded'])
db = root/'sample.sqlite'
for manifest in result['files']:
path = Path(manifest['file'])
self.assertEqual(hashlib.sha256(path.read_bytes()).hexdigest(), manifest['file_sha256'])
for raw in path.read_text().splitlines():
record = json.loads(raw)
evidence = record['metadata']['source_evidence']
self.assertEqual(hashlib.sha256((root/'out'/evidence['file']).read_bytes()).hexdigest(), evidence['sha256'])
ingest_file(db, path)
with sqlite3.connect(db) as connection:
self.assertEqual(connection.execute('SELECT count(*) FROM papers').fetchone()[0], 4)
self.assertEqual(connection.execute('SELECT count(*) FROM submissions').fetchone()[0], 4)
self.assertEqual(connection.execute("SELECT count(*) FROM decisions WHERE status='accepted'").fetchone()[0], 4)
self.assertEqual(connection.execute('SELECT count(*) FROM papers WHERE abstract IS NULL').fetchone()[0], 1)
metadata = [json.loads(r[0]) for r in connection.execute('SELECT metadata_json FROM source_records')]
self.assertEqual({r['publication_format'] for r in metadata}, {'full_paper','extended_abstract','demo','doctoral_abstract'})
namespaces = {r[0] for r in connection.execute('SELECT DISTINCT namespace FROM tags')}
self.assertEqual(namespaces, {'aamas_proceedings:publication_format', 'aamas_proceedings:session'})
self.assertEqual(connection.execute('PRAGMA foreign_key_check').fetchall(), [])
+115
View File
@@ -0,0 +1,115 @@
"""Regression coverage for primary series once named Workshop, with strict scope boundaries."""
from contextlib import closing
import hashlib
import json
from pathlib import Path
import sqlite3
import tempfile
import unittest
from paper_atlas.collectors.dblp_records import normalize_row
from paper_atlas.collectors.dblp_scope import scope
from paper_atlas.ingestion.records import ingest_file
ICML_HISTORY = 'https://icml.cc/Conferences/2008/past_icmls.shtml.html'
IROS_HISTORY = 'https://www.ieee-ras.org/conferences-workshops/financially-co-sponsored/iros/iros-past-and-future-venues/'
class HistoricalPrimarySeriesTests(unittest.TestCase):
def example(self, family, year, title, book=None, key=None):
key = key or f'conf/{family}/{year}'
book = book or ('ML' if family == 'icml' else 'IROS')
row = {'record_type':'inproceedings', 'key':f'conf/{family}/Paper{year}', 'publtype':None,
'fields':{'title':['An independently identified historical research paper'],
'author':['Jane Doe'], 'booktitle':[book], 'year':[str(year)],
'crossref':[key], 'ee':[f'https://doi.org/10.1234/{family}.{year}']}}
volume = {'record_type':'proceedings', 'key':key,
'fields':{'title':[title], 'year':[str(year)]}}
return row, volume
def test_icml_workshop_primary_editions_are_not_silently_filtered(self):
examples = {
1989:'Proceedings of the Sixth International Workshop on Machine Learning (ML 1989), Cornell University, Ithaca, New York, USA, June 26-27, 1989',
1991:'Proceedings of the Eighth International Workshop (ML91), Northwestern University, Evanston, Illinois, USA',
1992:'Proceedings of the Ninth International Workshop on Machine Learning (ML 1992), Aberdeen, Scotland, UK, July 1-3, 1992',
}
for year, title in examples.items():
with self.subTest(year=year):
row, volume = self.example('icml', year, title)
record, reason = normalize_row(row, {volume['key']:volume}, {'ICML'})
self.assertIsNone(reason)
self.assertEqual((record['venue'],record['year'],record['track'],record['status']), ('ICML',year,'main','accepted'))
self.assertEqual(record['metadata']['proceedings_title'], title)
self.assertEqual(record['metadata']['track_scope_evidence_url'], ICML_HISTORY)
self.assertEqual(record['metadata']['bibliographic_year'], year)
def test_iros_first_three_editions_are_primary_series(self):
examples = {
1988:"IEEE International Workshop on Intelligent Robots and Systems '88, Proceedings. IROS 1988, Tokyo, Japan, October 31 - November 2, 1988",
1989:"IEEE International Workshop on Intelligent Robots and Systems '89, Proceedings. IROS 1989, September 4-6, 1989, Tsukuba, Japan",
1990:"IEEE International Workshop on Intelligent Robots and Systems '90, Towards a New Frontier of Applications, Proceedings. IROS 1990, July 3-6, 1990, Ibaraki, Japan",
}
for year, title in examples.items():
with self.subTest(year=year):
row, volume = self.example('iros', year, title)
record, reason = normalize_row(row, {volume['key']:volume}, {'IROS'})
self.assertIsNone(reason)
self.assertEqual((record['venue'],record['year'],record['track']), ('IROS',year,'main'))
self.assertEqual(record['metadata']['proceedings_title'], title)
self.assertEqual(record['metadata']['track_scope_evidence_url'], IROS_HISTORY)
def test_main_named_icml_predecessors_also_carry_primary_scope_provenance(self):
examples = {
1988:'Machine Learning, Proceedings of the Fifth International Conference on Machine Learning, Ann Arbor, Michigan, USA, June 12-14, 1988',
1990:'Machine Learning, Proceedings of the Seventh International Conference on Machine Learning, Austin, Texas, USA, June 21-23, 1990',
}
for year, title in examples.items():
row, volume = self.example('icml', year, title)
edition, reason = scope(row, volume)
self.assertIsNone(reason)
self.assertEqual(edition['track'], 'main')
self.assertEqual(edition['track_scope_evidence_url'], ICML_HISTORY)
def test_wrong_keys_titles_suffixes_and_unknown_years_keep_workshop_boundary(self):
title = 'Proceedings of the Eighth International Workshop (ML91), Northwestern University, Evanston, Illinois, USA'
for year, changed, book, key in [
(1991,title,'ML','conf/icml/1991w'),
(1991,title,'ML (Workshops)','conf/icml/1991'),
(1991,title.replace('Eighth','Ninth'),'ML','conf/icml/1991'),
(1991,title + ', Affiliated Workshop','ML','conf/icml/1991'),
(1987,'Machine Learning Workshop 1987, Irvine','ML','conf/icml/1987'),
]:
with self.subTest(year=year, book=book, key=key, title=changed):
row, volume = self.example('icml',year,changed,book,key)
record, reason = normalize_row(row,{volume['key']:volume},{'ICML'})
self.assertIsNone(record)
self.assertEqual(reason,'separate_workshop')
self.assertNotIn('track_scope_evidence_url',scope(row,volume)[0])
title = "IEEE International Workshop on Intelligent Robots and Systems '88, Proceedings. IROS 1988, Tokyo, Japan, October 31 - November 2, 1988"
for changed, book, key in [
(title,'IROS','conf/iros/1988w'),
(title,'IROS (Workshops)','conf/iros/1988'),
(title.replace('Tokyo','Another city'),'IROS','conf/iros/1988'),
]:
row, volume = self.example('iros',1988,changed,book,key)
self.assertEqual(normalize_row(row,{volume['key']:volume},{'IROS'})[1],'separate_workshop')
def test_primary_scope_proof_survives_native_file_ingestion(self):
title = 'Proceedings of the Eighth International Workshop (ML91), Northwestern University, Evanston, Illinois, USA'
row, volume = self.example('icml',1991,title)
record, reason = normalize_row(row,{volume['key']:volume},{'ICML'})
self.assertIsNone(reason)
with tempfile.TemporaryDirectory() as temporary:
root=Path(temporary);path=root/'records.jsonl';path.write_text(json.dumps(record)+'\n')
path.with_suffix('.manifest.json').write_text(json.dumps({'source':'dblp','count':1,'list_url':ICML_HISTORY,'file_sha256':hashlib.sha256(path.read_bytes()).hexdigest()}))
ingest_file(root/'test.sqlite',path)
with closing(sqlite3.connect(root/'test.sqlite')) as connection:
self.assertEqual(connection.execute('SELECT track FROM editions').fetchone()[0],'main')
self.assertEqual(connection.execute('SELECT status FROM decisions').fetchone()[0],'accepted')
metadata=json.loads(connection.execute('SELECT metadata_json FROM source_records').fetchone()[0])
self.assertEqual(metadata['proceedings_title'],title)
self.assertEqual(metadata['track_scope_evidence_url'],ICML_HISTORY)
if __name__ == '__main__':
unittest.main()