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codex-bot 7c6f4c9f1d Recognize evidenced early ICML and IROS primary editions
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2026-11-09 02:39:18 +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
8 changed files with 6119 additions and 0 deletions
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@@ -60,6 +60,8 @@ 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。
`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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@@ -190,3 +190,5 @@ 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89个初步候选来源年度;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。
@@ -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 +1,56 @@
# 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**89个**匹配到初步候选论文集,另**46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。匹配只使用同family的四位卷key年份或卷标题唯一显式年份;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**。
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。
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@@ -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))
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@@ -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()