Distinguish historical primary editions from affiliated workshops

Reviewed-on: #17

.gitea/workflows/check.yml

@@ -53,8 +53,10 @@ jobs:
               subprocess.run([python,'-I','-B','-m','paper_atlas','import','arxiv','--help'],cwd=outside,check=True)
               subprocess.run([python,'-I','-B','-m','paper_atlas','maintain','backfill','--help'],cwd=outside,check=True)
               subprocess.run([python,'-I','-B','-m','paper_atlas','audit','public-openreview','--help'],cwd=outside,check=True)
+              subprocess.run([python,'-I','-B','-m','paper_atlas','audit','histories','--help'],cwd=outside,check=True)
               subprocess.run([python,'-I','-B','-c','from paper_atlas.postgres.writer import PostgresStore, WriteConnection'],cwd=outside,check=True)
               smoke = "from paper_atlas.db.store import Store; from paper_atlas.config import DEFAULT_REGISTRY; import json; assert {'COLM','MM','MLSys'} <= {v['acronym'] for v in json.loads(DEFAULT_REGISTRY.read_text())['venues']}; s=Store('installed.sqlite'); s.conn.close()"
               subprocess.run([python,'-I','-B','-c',smoke],cwd=outside,check=True)
               subprocess.run([python,'-I','-B','-m','paper_atlas','query','--db','installed.sqlite','--stats'],cwd=outside,check=True)
+              subprocess.run([python,'-I','-B','-m','paper_atlas','audit','histories','--db','installed.sqlite','--examples','0'],cwd=outside,check=True)
           PY

docs/data-sources.md

@@ -178,6 +178,10 @@ paper-atlas collect dblp \
 
 输出按会议/年份/track 分文件，附 manifest、`dblp-normalization.json` 范围审查统计和带哈希的 `dblp-import-queue.json`。不能识别的书目、年份或归属会逐类登记，不默认算作主会。DBLP 不含摘要，因此输出摘要为空、清单为 partial；需要通过有证据的跨来源关联补齐论文实体摘要。书目发表证据与原始审稿决定分别保留，不依据书目缺席推断拒稿。已存在其他出版来源的届次，还须先回填其权威身份并核验镜像记录，不能直接累加投稿数。
 
+早期 AISTATS 1995/1997/1999/2001/2003/2005 和 COLT 1988–1991 的主系列名称本身含 Workshop，不能当作附属 workshop 漏掉。识别要求已核对的完整 proceedings key、会议书目名、原始标题前缀、届数和事件年一致；轨道名为 `main` 表示主系列，保留原始 Workshop 名称及官方目录证据，不改造其历史名称或出版形式。参见 [AISTATS 官方历史目录](https://aistats.org/other.html)、[COLT 协会目录](https://www.learningtheory.org/)。1995 AISTATS 的会议年与1996图书出版年分开；[PMLR R0](https://proceedings.mlr.press/r0/) 是后来重发的 pre-proceedings，不与 DBLP 图书条目盲目逐篇等同。
+
+真正附属的 AISTATS 2010 Active Learning and Experimental Design workshop 仍单列。COLT 2003 与 Kernel Workshop 的 [混合论文集](https://doi.org/10.1007/b12006) 缺少逐篇章节信息，使用 `proceedings_unspecified`，不能整卷改成 main 或附属 workshop。输出保存 `track_scope_note` 与 `track_scope_evidence_url`，导入后仍可追查分类理由；这些出版证据不是真实拒稿或原始决定签名，也不自动修正既有主库记录。
+
 部分早期 SIGIR、CIKM、IJCAI 出版卷使用两位年份键；只有论文集标题明确给出唯一完整年份且与短键相符时才采用，不推测世纪。WWW 特殊兴趣、Alternate track 单列；同卷混合 Applied Data Science、Demo、Industrial 且不能逐篇区分时使用 `proceedings_unspecified`，不把整卷归为某一个具体 track。
 
 书目中的前后页、目录组合和明确会务标题不产生论文录用记录；缺作者的赞助、委员会、活动汇总等标题单独排除。WWW 2019 companion 的匿名合成活动条目归入待核查材料，原始快照仍保留。范围报告分别统计这些原因；单纯缺作者并不排除真实研究论文，也不补造作者。

docs/usage.md

@@ -79,10 +79,10 @@ paper-atlas maintain merge --db /data/paper-index/samples/example.sqlite \
 ## 4. 查询与分析前检查
 
 ```sh
-paper-atlas query --db /data/paper-index/papers.sqlite --query '"language model"' --limit 20
-paper-atlas query --db /data/paper-index/papers.sqlite --tag arxiv:category=cs.AI
-paper-atlas query --db /data/paper-index/papers.sqlite --venue ICLR --year 2025 --status rejected
-paper-atlas query --db /data/paper-index/papers.sqlite --paper 123
+paper-atlas query --pg-service foundry-research --query '"language model"' --limit 20
+paper-atlas query --pg-service foundry-research --tag arxiv:category=cs.AI
+paper-atlas query --pg-service foundry-research --venue ICLR --year 2025 --status rejected
+paper-atlas query --pg-service foundry-research --paper 123
 paper-atlas coverage --db /data/paper-index/papers.sqlite --out /data/paper-index/collected/coverage.json
 ```
 
@@ -91,10 +91,26 @@ paper-atlas coverage --db /data/paper-index/papers.sqlite --out /data/paper-inde
 例如，查找在 ICLR 有拒稿记录、但在其他已知投稿中已有录用的论文：
 
 ```sh
-paper-atlas query --db /data/paper-index/papers.sqlite \\
+paper-atlas query --pg-service foundry-research \
   --venue ICLR --status rejected --outcome accepted
 ```
 
 `known_acceptances` 列出目前仍为录用状态的各次投稿及会议、年份、track 和决定证据，`publication_outcome` 汇总为 accepted 或 no_known_acceptance。汇总会检查所有会议和 track，不把某次拒稿覆盖到整篇论文；同一次投稿的后续撤稿也会更新该次状态并保留原决定。no_known_acceptance 只表示现有来源中没有查到录用，不能称为“从未录用”。
 
 `--stats` 中 papers 是当前规则下的论文实体数；source_records 是来源记录数；decisions 是决定观察数。一个投稿可能有多个来源和多条观察，不能相加当作论文数。
+
+## 5. 投稿历史关系审计
+
+```sh
+PGSERVICEFILE=/etc/paper-atlas/pg_service.conf paper-atlas audit histories \
+  --pg-service foundry-research --pg-schema research --examples 20 \
+  --out /data/paper-index/collected/history-audit.json
+```
+
+使用一个只读一致性快照，区分论文实体、投稿和决定观察；分别统计同次投稿曾出现负面与录用观察、不同投稿共存负面与当前已知录用、不同会议之间的共存。workshop/main 是不同 track，属于同一会议时不算跨会议；会议别名也不会增加一个会议。当前已知录用使用与 `query --outcome` 相同的“每次投稿最新观察”规则，后续撤稿的该次投稿不再算当前录用，但旧录用决定仍保留。
+
+报告不凭观察时间、届次年份或行顺序断言“拒稿发生在录用之前”。样例保留真实 `decision_date`、`observed_at`、原始标签、证据 URL 和决定来源，供进一步核查；日期缺失仍保持未知。`negative` 统计包含 rejected、desk_rejected 和 withdrawn，其原始状态不互相替换。
+
+总数覆盖快照内全部投稿，样例由 `--examples` 限定为 0–100 篇；每篇最多展示 20 次投稿、每次最多 50 条决定、每条决定最多 100 个来源，并明确标记截断。样例优先保留负面/录用的不同投稿对。四项来源关系检查报告缺失关联和来源论文归属不一致，不自动修复。
+
+这些统计依赖现有论文身份关联，不证明实体合并正确，也不证明原始决定签名、公开拒稿全集、标签类型或最终全库去重已完成。SQLite 独立样本可使用 `--db`；冻结备份不能代表当前 PostgreSQL 的历史情况。

paper_atlas/audits/histories.py

@@ -0,0 +1,196 @@
+"""Audit linked submission histories without inferring event chronology."""
+import argparse
+from collections import Counter
+import json
+from pathlib import Path
+import sqlite3
+
+from paper_atlas.db.backend import database_arguments, open_read_connection
+from paper_atlas.db.submissions import timestamp
+from paper_atlas.querying import LATEST_DECISION
+
+
+ATTEMPTS = '''SELECT s.paper_id,s.id AS submission_id,e.venue_id,v.acronym AS venue,e.year,e.track,
+    count(d.id) AS decision_observations,
+    MAX(CASE WHEN d.status IN ('rejected','desk_rejected','withdrawn') THEN 1 ELSE 0 END)
+        AS historical_negative,
+    MAX(CASE WHEN d.status='accepted' THEN 1 ELSE 0 END) AS historical_acceptance,
+    COALESCE(MAX(CASE WHEN ''' + LATEST_DECISION + ''' THEN d.status END),'unknown')
+        AS latest_observed_status
+    FROM submissions s JOIN editions e ON e.id=s.edition_id JOIN venues v ON v.id=e.venue_id
+    LEFT JOIN decisions d ON d.submission_id=s.id
+    GROUP BY s.paper_id,s.id,e.venue_id,v.acronym,e.year,e.track
+    ORDER BY s.paper_id,e.venue_id,s.id'''
+
+
+def _paper_counts(attempts):
+    negative = sum(row['historical_negative'] for row in attempts)
+    accepted = sum(row['latest_observed_status'] == 'accepted' for row in attempts)
+    overlap = sum(row['historical_negative'] and row['latest_observed_status'] == 'accepted'
+                  for row in attempts)
+    venues = {}
+    for row in attempts:
+        counts = venues.setdefault(row['venue_id'], [0, 0])
+        counts[0] += row['historical_negative']
+        counts[1] += row['latest_observed_status'] == 'accepted'
+    return {
+        'papers_with_submissions': 1,
+        'papers_with_multiple_submissions': int(len(attempts) > 1),
+        'papers_with_historical_negative': int(negative > 0),
+        'papers_with_current_known_acceptance': int(accepted > 0),
+        'papers_with_negative_and_acceptance_in_distinct_attempts': int(negative * accepted > overlap),
+        'papers_with_negative_and_acceptance_in_distinct_venues':
+            int(negative * accepted > sum(n * a for n, a in venues.values())),
+    }
+
+
+def _example(connection, attempts):
+    # Keep a negative/accepted pair visible even when a paper has many attempts.
+    accepted = [row for row in attempts if row['latest_observed_status'] == 'accepted']
+    first = accepted[0] if accepted else None
+    other_venue = next((row for row in accepted if row['venue_id'] != first['venue_id']), None)
+    pair = None
+    for negative in attempts:
+        if negative['historical_negative'] and first:
+            candidate = first if first['venue_id'] != negative['venue_id'] else other_venue
+            if candidate:
+                pair = (negative, candidate)
+                break
+    if pair is None:
+        for negative in attempts:
+            if negative['historical_negative'] and first:
+                candidate = first if first['submission_id'] != negative['submission_id'] else (
+                    accepted[1] if len(accepted) > 1 else None)
+                if candidate:
+                    pair = (negative, candidate)
+                    break
+    selected = {}
+    for row in list(pair or ()) + attempts:
+        if len(selected) < 20:
+            selected.setdefault(row['submission_id'], dict(row))
+    for row in selected.values():
+        row['decisions'] = []
+        for decision in connection.execute('''SELECT id,status,raw_value,evidence_url,
+                decision_date,observed_at FROM decisions WHERE submission_id=?
+                ORDER BY observed_at DESC,COALESCE(decision_date,observed_at) DESC,id DESC LIMIT 50''',
+                (row['submission_id'],)):
+            entry = dict(decision)
+            sources = [dict(source) for source in connection.execute('''
+                SELECT so.name,r.external_id,ds.source_decision_id FROM decision_sources ds
+                JOIN source_records r ON r.id=ds.source_record_id JOIN sources so ON so.id=r.source_id
+                WHERE ds.decision_id=? ORDER BY so.name,r.external_id LIMIT 101''', (entry['id'],))]
+            entry['sources'] = sources[:100]
+            entry['sources_truncated'] = len(sources) > 100
+            row['decisions'].append(entry)
+        row['decisions_truncated'] = row['decision_observations'] > len(row['decisions'])
+    paper_id = attempts[0]['paper_id']
+    return {'paper_id': paper_id,
+            'title': connection.execute('SELECT title FROM papers WHERE id=?', (paper_id,)).fetchone()[0],
+            'counts': _paper_counts(attempts), 'attempt_count': len(attempts),
+            'attempts': list(selected.values()), 'attempts_truncated': len(attempts) > len(selected),
+            'chronology': 'Not inferred from observed_at, edition year, or row order.'}
+
+
+def report(db=None, *, pg_service=None, pg_schema=None, examples=20):
+    if not 0 <= examples <= 100:
+        raise ValueError('Examples must be between 0 and 100')
+    started_at = timestamp()
+    connection = open_read_connection(db, pg_service=pg_service, pg_schema=pg_schema)
+    if not pg_service:
+        connection.row_factory = sqlite3.Row
+    try:
+        if pg_service:
+            identity = connection.execute('SELECT current_database(),current_schema()').fetchone()
+            database, schema = identity[0], identity[1]
+        else:
+            database, schema = str(Path(db).resolve()), None
+        names = ['papers_with_submissions', 'papers_with_multiple_submissions',
+                 'papers_with_historical_negative', 'papers_with_current_known_acceptance',
+                 'papers_with_negative_and_acceptance_in_distinct_attempts',
+                 'papers_with_negative_and_acceptance_in_distinct_venues']
+        totals = Counter({key: 0 for key in names})
+        totals.update(submissions=0, decision_observations=0,
+                      attempts_with_historical_negative=0,
+                      attempts_with_historical_negative_and_acceptance=0)
+        latest = Counter()
+        sample_attempts = []
+
+        def consume(rows):
+            if not rows:
+                return
+            counts = _paper_counts(rows)
+            totals.update(counts)
+            if counts['papers_with_negative_and_acceptance_in_distinct_attempts'] and len(sample_attempts) < examples:
+                sample_attempts.append(rows)
+
+        current = []
+        for raw in connection.execute(ATTEMPTS):
+            row = dict(raw)
+            if current and row['paper_id'] != current[0]['paper_id']:
+                consume(current)
+                current = []
+            current.append(row)
+            totals['submissions'] += 1
+            totals['decision_observations'] += row['decision_observations']
+            totals['attempts_with_historical_negative'] += row['historical_negative']
+            totals['attempts_with_historical_negative_and_acceptance'] += int(
+                row['historical_negative'] and row['historical_acceptance'])
+            latest[row['latest_observed_status']] += 1
+        consume(current)
+        # These are relationship checks, not a substitute for the final entity/FK audit.
+        integrity = {}
+        checks = {
+            'submissions_without_source_links': '''SELECT count(*) FROM submissions s
+                WHERE NOT EXISTS(SELECT 1 FROM submission_sources ss WHERE ss.submission_id=s.id)''',
+            'decisions_without_source_links': '''SELECT count(*) FROM decisions d
+                WHERE NOT EXISTS(SELECT 1 FROM decision_sources ds WHERE ds.decision_id=d.id)''',
+            'submission_source_paper_mismatches': '''SELECT count(*) FROM submission_sources ss
+                JOIN submissions s ON s.id=ss.submission_id JOIN source_records r ON r.id=ss.source_record_id
+                WHERE s.paper_id<>r.paper_id''',
+            'decision_source_paper_mismatches': '''SELECT count(*) FROM decision_sources ds
+                JOIN decisions d ON d.id=ds.decision_id JOIN submissions s ON s.id=d.submission_id
+                JOIN source_records r ON r.id=ds.source_record_id WHERE s.paper_id<>r.paper_id''',
+        }
+        for name, query in checks.items():
+            integrity[name] = connection.execute(query).fetchone()[0]
+        return {'report_started_at': started_at, 'checked_at': timestamp(),
+                'engine': 'postgresql' if pg_service else 'sqlite', 'database': database,
+                'schema': schema, 'pg_service': pg_service,
+                'status': 'observed_history_audit_not_final_dedup', 'counts': dict(totals),
+                'latest_attempt_status_counts': dict(sorted(latest.items())),
+                'evidence_relationship_checks': integrity,
+                'examples': [_example(connection, rows) for rows in sample_attempts],
+                'example_limit': examples,
+                'interpretation': [
+                    'Counts use existing canonical paper links, not independently verified real-world identity.',
+                    'Negative includes rejected, desk_rejected and withdrawn observations; these remain distinct decisions.',
+                    'Known acceptance follows the latest observed decision per attempt, matching query --outcome.',
+                    'Distinct attempts/venues require separate submission/venue IDs; aliases do not create new venues.',
+                    'Coexisting evidence does not prove rejection happened before acceptance. observed_at is collection time.',
+                    'No known acceptance is not proof of never accepted. Source signatures and completeness are not established here.',
+                    'Examples are bounded; counts include all attempts and observations in one read-only snapshot.',
+                    'This does not perform entity merging, final deduplication, or label namespace/type validation.',
+                ]}
+    finally:
+        connection.close()
+
+
+def main(argv=None, *, prog=None):
+    parser = argparse.ArgumentParser(prog=prog)
+    database_arguments(parser)
+    parser.add_argument('--examples', type=int, default=20)
+    parser.add_argument('--out')
+    args = parser.parse_args(argv)
+    result = report(args.db, pg_service=args.pg_service, pg_schema=args.pg_schema, examples=args.examples)
+    text = json.dumps(result, ensure_ascii=False, indent=2)
+    if args.out:
+        path = Path(args.out)
+        stage = path.with_suffix('.part')
+        stage.write_text(text + '\n')
+        stage.replace(path)
+    else:
+        print(text)
+
+
+if __name__ == '__main__':
+    main()

paper_atlas/audits/public_openreview.py

@@ -39,7 +39,9 @@ def audit(db, inventory, out, *, pg_service=None, pg_schema=None):
             if json.loads(path.with_suffix('.manifest.json').read_text()) != manifest:
                 raise ValueError('Collected manifest differs from inventory')
             count = 0
-            for line in path.read_text().splitlines():
+            # Unicode paragraph/line separators are valid inside JSON strings;
+            # split physical byte lines, not Unicode text boundaries.
+            for line in path.read_bytes().splitlines():
                 row = json.loads(line)
                 if any(row[key] != manifest[key] for key in ('source', 'venue', 'year', 'track')):
                     raise ValueError('Record edition differs from inventory')

paper_atlas/cli.py

@@ -35,6 +35,7 @@ COMMANDS = {
     ('audit','arxiv'): ('paper_atlas.audits.arxiv', {}, '核验 arXiv 原始编号、重复行与 ZIP 完整性'),
     ('audit','arxiv-tags'): ('paper_atlas.audits.arxiv_tags', {}, '逐记录核验 arXiv 类别及出处完整性'),
     ('audit','public-openreview'): ('paper_atlas.audits.public_openreview', {}, '核对公开负面决定与已有投稿历史'),
+    ('audit','histories'): ('paper_atlas.audits.histories', {}, '只读核对跨会议投稿历史及决定来源关系'),
 }
 
 

paper_atlas/collectors/dblp_records.py

@@ -90,6 +90,8 @@ def normalize_row(row,volumes,targets,include_workshops=False,through_year=2026)
               'ambiguous_identifiers':ambiguous,'publication_evidence':'inproceedings bibliography; not an original decision note'}
     if edition.get('track_scope_note'):
         metadata['track_scope_note']=edition['track_scope_note']
+    if edition.get('track_scope_evidence_url'):
+        metadata['track_scope_evidence_url']=edition['track_scope_evidence_url']
     flagged=bool(re.search(r'\b(?:withdrawn|retracted)\b',row.get('publtype') or '',re.I))
     result={'source':'dblp','external_id':row['key'],'url':'https://dblp.org/rec/'+row['key']+'.html',
             'title':title,'abstract':None,'authors':authors,'identifiers':own,

paper_atlas/collectors/dblp_scope.py

@@ -38,6 +38,39 @@ BOOKS = {
 }
 
 
+# These are the historical primary series themselves, not co-located workshops.
+# Exact proceedings keys, original names, ordinals and event years must agree.
+HISTORICAL_WORKSHOP_TITLES = {
+    **{('aistats', year): prefix + ordinal + ' International Workshop on Artificial Intelligence and Statistics'
+       for year, ordinal, prefix in [
+           (1995, 'Fifth', 'Learning from Data - '),
+           (1997, 'Sixth', 'Proceedings of the '),
+           (1999, 'Seventh', 'Proceedings of the '),
+           (2001, 'Eighth', 'Proceedings of the '),
+           (2003, 'Ninth', 'Proceedings of the '),
+           (2005, 'Tenth', 'Proceedings of the ')]},
+    **{('colt', year): 'Proceedings of the ' + ordinal + ' Annual Workshop on Computational Learning Theory'
+       for year, ordinal in [(1988, 'First'), (1989, 'Second'), (1990, 'Third'), (1991, 'Fourth')]},
+}
+
+
+def historical_track(family, base, suffix, volume_key, year, title):
+    if suffix or base.casefold() != family or volume_key != f'conf/{family}/{year}':
+        return None
+    prefix = HISTORICAL_WORKSHOP_TITLES.get((family, year))
+    if (prefix and title.casefold().startswith(prefix.casefold() + ',')
+            and re.search(r'\b' + str(year) + r'\b', title)):
+        url = 'https://aistats.org/other.html' if family == 'aistats' else 'https://www.learningtheory.org/'
+        return ('main', 'Historical primary series named Workshop; exact proceedings key, ordinal, title and event year verified.', url)
+    if (family == 'colt' and year == 2003
+            and title.startswith('Computational Learning Theory and Kernel Machines, 16th Annual Conference on Computational Learning Theory and 7th Kernel Workshop, COLT/Kernel 2003,')
+            and title.endswith('Proceedings')):
+        return ('proceedings_unspecified',
+                'Combined COLT 2003 and Kernel Workshop volume; per-paper section absent from DBLP XML. Do not infer a main or workshop track.',
+                'https://doi.org/10.1007/b12006')
+    return None
+
+
 def scope(row,volume,through_year=2026):
     fields=row['fields'];books=fields.get('booktitle',[])
     if len(books)!=1:return None,'ambiguous_booktitle'
@@ -75,7 +108,9 @@ def scope(row,volume,through_year=2026):
     if len(bibliographic)!=1 or not re.fullmatch(r'\d{4}',bibliographic[0]):return None,'ambiguous_bibliographic_year'
     if int(bibliographic[0])!=year and not re.search(r'\b'+str(year)+r'\b',title):return None,'unverified_year_difference'
     text=(suffix+' '+title).casefold();track='main'
-    if 'findings' in text:track='findings'
+    historical = historical_track(family, base, suffix, volume['key'], year, title)
+    if historical:track=historical[0]
+    elif 'findings' in text:track='findings'
     elif 'shared task' in text:track='shared_task'
     elif 'student research' in text or 'workshop' in text or 'wokshop' in text or base in ('ICCVW','EWSL'):track='workshop'
     elif ('demo track' in text and ('industrial track' in text or 'applied data science track' in text)):track='proceedings_unspecified'
@@ -98,6 +133,9 @@ def scope(row,volume,through_year=2026):
     if venue=='AAMAS' and year<2002:return None,'predecessor_not_aamas'
     result = {'venue':venue,'venue_aliases':aliases,'year':year,'track':track,'bibliographic_year':int(bibliographic[0]),
               'rule':family+':'+base,'proceedings_title':title,'edition_year_basis':year_basis}
+    if historical:
+        result['track_scope_note'] = historical[1]
+        result['track_scope_evidence_url'] = historical[2]
     if venue=='MM' and track=='main':
         # A main MM volume also includes doctoral, tutorials, companion papers
         # and other sections. DBLP XML omits the per-paper TOC section.

tests/test_dblp_records.py

@@ -10,7 +10,7 @@ from unittest.mock import patch
 
 from paper_atlas.collectors.dblp import XML_SHA
 from paper_atlas.collectors.dblp_records import collect,identifiers,normalize_row,material_reason
-from paper_atlas.collectors.dblp_scope import scope
+from paper_atlas.collectors.dblp_scope import scope, HISTORICAL_WORKSHOP_TITLES
 from paper_atlas.db.store import Store
 from paper_atlas.ingestion.records import ingest_file
 
@@ -70,6 +70,69 @@ class DblpRecordTests(unittest.TestCase):
         self.assertEqual(scope(self.row(),self.volume('kdd',2024))[1],'crossref_venue_conflict')
         self.assertEqual(scope(self.row(year=2027),self.volume('aaai',2027))[1],'future_edition')
 
+    def test_historical_primary_series_workshop_names_require_exact_editions(self):
+        self.assertEqual(set(HISTORICAL_WORKSHOP_TITLES),
+                         {('aistats',year) for year in [1995,1997,1999,2001,2003,2005]} |
+                         {('colt',year) for year in [1988,1989,1990,1991]})
+        for (family,year),prefix in HISTORICAL_WORKSHOP_TITLES.items():
+            with self.subTest(family=family,year=year):
+                title=prefix+f', {family.upper()} {year}, Proceedings.'
+                volume=self.volume(family,year,title)
+                row=self.row(family,family.upper(),year)
+                if year==1995:
+                    row['fields']['year']=['1996'];volume['fields']['year']=['1996']
+                edition,reason=scope(row,volume)
+                self.assertIsNone(reason);self.assertEqual(edition['track'],'main')
+                self.assertEqual(edition['year'],year)
+                self.assertIn('Historical primary series',edition['track_scope_note'])
+                record,reason=normalize_row(row,{volume['key']:volume},{family.upper()})
+                self.assertIsNone(reason);self.assertEqual(record['metadata']['track_scope_evidence_url'],edition['track_scope_evidence_url'])
+                self.assertEqual(record['metadata']['proceedings_title'],title)
+                if year==1995:self.assertEqual(record['metadata']['bibliographic_year'],1996)
+
+    def test_historical_exception_does_not_promote_affiliated_or_wrong_scope_workshops(self):
+        title=HISTORICAL_WORKSHOP_TITLES[('aistats',1995)]+', AISTATS 1995, Proceedings.'
+        for book,key,changed in [
+            ('AISTATS','conf/aistats/1995w',title),
+            ('AISTATS (Workshops)','conf/aistats/1995',title),
+            ('AISTATS','conf/aistats/1995',title.replace('Fifth','Sixth')),
+            ('AISTATS','conf/aistats/1995',title.replace('1995','1997'))]:
+            volume=self.volume('aistats',1995,changed);volume['key']=key
+            row=self.row('aistats',book,1995);row['fields']['crossref']=[key]
+            self.assertEqual(scope(row,volume)[0]['track'],'workshop')
+        volume=self.volume('aistats',2010,'Active Learning and Experimental Design workshop, In conjunction with AISTATS 2010')
+        volume['key']='conf/aistats/2010w'
+        row=self.row('aistats','AISTATS',2011);row['fields']['crossref']=[volume['key']]
+        self.assertEqual(scope(row,volume)[0]['track'],'workshop')
+
+    def test_combined_colt_kernel_volume_keeps_unknown_per_paper_track(self):
+        title='Computational Learning Theory and Kernel Machines, 16th Annual Conference on Computational Learning Theory and 7th Kernel Workshop, COLT/Kernel 2003, Washington, DC, USA, August 24-27, 2003, Proceedings'
+        volume=self.volume('colt',2003,title);row=self.row('colt','COLT',2003)
+        record,reason=normalize_row(row,{volume['key']:volume},{'COLT'})
+        self.assertIsNone(reason);self.assertEqual(record['track'],'proceedings_unspecified')
+        self.assertEqual(record['status'],'accepted')
+        self.assertIn('per-paper section absent',record['metadata']['track_scope_note'])
+        self.assertEqual(record['metadata']['track_scope_evidence_url'],'https://doi.org/10.1007/b12006')
+        volume['key']='conf/colt/2003w';row['fields']['crossref']=[volume['key']]
+        self.assertEqual(scope(row,volume)[0]['track'],'workshop')
+
+    def test_historical_scope_provenance_survives_file_ingestion(self):
+        title=HISTORICAL_WORKSHOP_TITLES[('colt',1988)]+', COLT 1988, Proceedings.'
+        row=self.row('colt','COLT',1988);volume=self.volume('colt',1988,title)
+        record,reason=normalize_row(row,{volume['key']:volume},{'COLT'})
+        self.assertIsNone(reason)
+        with tempfile.TemporaryDirectory() as tmp:
+            root=Path(tmp);path=root/'history.jsonl'
+            path.write_text(json.dumps(record)+'\n')
+            path.with_suffix('.manifest.json').write_text(json.dumps({'source':'dblp','count':1,'list_url':'https://doi.org/10.4230/dblp.xml.2026-11-01','file_sha256':hashlib.sha256(path.read_bytes()).hexdigest()}))
+            ingest_file(root/'sample.sqlite',path)
+            with closing(sqlite3.connect(root/'sample.sqlite')) as connection:
+                track=connection.execute('SELECT track FROM editions').fetchone()[0]
+                metadata=json.loads(connection.execute('SELECT metadata_json FROM source_records').fetchone()[0])
+            self.assertEqual(track,'main')
+            self.assertEqual(metadata['track_scope_evidence_url'],'https://www.learningtheory.org/')
+            self.assertEqual(metadata['proceedings_title'],title)
+
     def test_only_own_identifier_links_are_used_and_ambiguity_is_preserved(self):
         own,ambiguous=identifiers({'ee':['https://doi.org/10.1234/published','https://doi.org/10.48550/arXiv.2401.00001','https://openreview.net/forum?id=realForum'],
                                     'cite':['https://doi.org/10.9999/reference']})

tests/test_histories.py

@@ -0,0 +1,114 @@
+from pathlib import Path
+import tempfile
+import unittest
+
+from paper_atlas.audits.histories import report
+from paper_atlas.db.store import Store
+
+
+def add_history_fixture(store):
+    def event(work, forum, venue, year, track, status, observed):
+        paper, record = store.record('history_fixture', work + '/' + forum,
+            'https://example.org/' + forum, work + ' title\x00 preserved', 'Abstract', ['Jane Doe'],
+            {'arxiv': work})
+        store.decision(paper, record, venue, year, track, forum,
+            'https://example.org/' + forum + '/' + str(status), status, status or '',
+            identities=[('openreview', forum)], observed_at=observed)
+        return paper
+
+    # The negative observation was collected later: observation order is not chronology.
+    event('2501.00001', 'HistoryA01', 'ICLR', 2024, 'main', 'rejected', '2026-02-01T00:00:00Z')
+    event('2501.00001', 'HistoryA02', 'ICML', 2025, 'main', 'accepted', '2026-01-01T00:00:00Z')
+    event('2501.00002', 'HistoryB01', 'ICLR', 2024, 'main', 'rejected', '2026-01-01T00:00:00Z')
+    event('2501.00002', 'HistoryB01', 'ICLR', 2024, 'main', 'accepted', '2026-02-01T00:00:00Z')
+    event('2501.00003', 'HistoryC01', 'ICLR', 2024, 'main', 'desk_rejected', '2026-01-01T00:00:00Z')
+    event('2501.00003', 'HistoryC02', 'ICLR', 2024, 'workshop_example', 'accepted', '2026-02-01T00:00:00Z')
+    event('2501.00004', 'HistoryD01', 'ICML', 2025, 'main', 'accepted', '2026-01-01T00:00:00Z')
+    event('2501.00004', 'HistoryD01', 'ICML', 2025, 'main', 'withdrawn', '2026-02-01T00:00:00Z')
+    event('2501.00004', 'HistoryD02', 'ICLR', 2024, 'main', 'rejected', '2026-01-01T00:00:00Z')
+    event('2501.00005', 'HistoryE01', 'COLM', 2026, 'main', None, '2026-01-01T00:00:00Z')
+    store.conn.commit()
+
+
+class HistoryTests(unittest.TestCase):
+    def setUp(self):
+        self.tmp = tempfile.TemporaryDirectory()
+        self.addCleanup(self.tmp.cleanup)
+        self.db = Path(self.tmp.name) / 'sample.sqlite'
+        self.store = Store(self.db)
+        self.addCleanup(self.store.conn.close)
+
+    def test_distinct_attempts_venues_and_latest_acceptances_are_not_observation_counts(self):
+        add_history_fixture(self.store)
+        result = report(self.db)
+        self.assertEqual(result['counts'], {
+            'papers_with_submissions': 5, 'papers_with_multiple_submissions': 3,
+            'papers_with_historical_negative': 4, 'papers_with_current_known_acceptance': 3,
+            'papers_with_negative_and_acceptance_in_distinct_attempts': 2,
+            'papers_with_negative_and_acceptance_in_distinct_venues': 1,
+            'submissions': 8, 'decision_observations': 9,
+            'attempts_with_historical_negative': 5,
+            'attempts_with_historical_negative_and_acceptance': 2,
+        })
+        self.assertEqual(result['latest_attempt_status_counts'],
+                         {'accepted': 3, 'desk_rejected': 1, 'rejected': 2, 'unknown': 1, 'withdrawn': 1})
+        self.assertEqual(len(result['examples']), 2)
+        first = result['examples'][0]
+        self.assertIn('\x00', first['title'])
+        self.assertEqual({r['venue'] for r in first['attempts']}, {'ICLR', 'ICML'})
+        self.assertTrue(all(r['decisions'][0]['sources'] for r in first['attempts']))
+        self.assertTrue(all(r['decisions'][0]['decision_date'] is None for r in first['attempts']))
+        self.assertIn('Not inferred', first['chronology'])
+        self.assertEqual(result['status'], 'observed_history_audit_not_final_dedup')
+        self.assertTrue(all(v == 0 for v in result['evidence_relationship_checks'].values()))
+
+    def test_missing_and_mislinked_source_evidence_is_reported_without_repair(self):
+        add_history_fixture(self.store)
+        self.store.conn.execute('DELETE FROM decision_sources WHERE decision_id=1')
+        self.store.conn.execute('DELETE FROM submission_sources WHERE submission_id=1')
+        # Record3 belongs to paper2; move it to paper1 to create a real mismatch.
+        self.store.conn.execute('UPDATE source_records SET paper_id=1 WHERE id=3')
+        self.store.conn.commit()
+        result = report(self.db, examples=0)
+        checks = result['evidence_relationship_checks']
+        self.assertEqual(checks['decisions_without_source_links'], 1)
+        self.assertEqual(checks['submissions_without_source_links'], 1)
+        self.assertEqual(checks['submission_source_paper_mismatches'], 1)
+        self.assertEqual(checks['decision_source_paper_mismatches'], 2)
+        self.assertEqual(self.store.conn.execute('SELECT paper_id FROM source_records WHERE id=3').fetchone()[0], 1)
+
+    def test_example_limit_does_not_change_global_counts(self):
+        add_history_fixture(self.store)
+        none, one = report(self.db, examples=0), report(self.db, examples=1)
+        self.assertEqual(none['counts'], one['counts'])
+        self.assertEqual(none['examples'], [])
+        self.assertEqual(len(one['examples']), 1)
+
+    def test_empty_snapshot_and_invalid_limit_do_not_create_missing_database(self):
+        empty = report(self.db)
+        self.assertTrue(all(v == 0 for v in empty['counts'].values()))
+        self.assertEqual(empty['latest_attempt_status_counts'], {})
+        absent = self.db.parent / 'absent.sqlite'
+        with self.assertRaisesRegex(ValueError, 'Examples'):
+            report(absent, examples=-1)
+        with self.assertRaisesRegex(ValueError, 'Existing database'):
+            report(absent)
+        self.assertFalse(absent.exists())
+
+    def test_truncated_example_keeps_the_cross_venue_acceptance_visible(self):
+        paper, record = self.store.record('fixture', 'many', 'https://example.org/many',
+                                          'Many attempts', 'Abstract', [])
+        for index in range(26):
+            accepted = index == 25
+            forum = f'BoundedForum{index}'
+            self.store.decision(paper, record, 'ICML' if accepted else 'ICLR', 2025, 'main', forum,
+                                'https://example.org/' + forum, 'accepted' if accepted else 'rejected',
+                                'Accept' if accepted else 'Reject', identities=[('openreview', forum)])
+        self.store.conn.commit()
+        result = report(self.db)
+        example, = result['examples']
+        self.assertEqual((example['attempt_count'], len(example['attempts'])), (26, 20))
+        self.assertTrue(example['attempts_truncated'])
+        self.assertEqual({row['latest_observed_status'] for row in example['attempts']},
+                         {'accepted', 'rejected'})
+        self.assertEqual(result['counts']['submissions'], 26)

tests/test_postgres.py

@@ -175,6 +175,22 @@ class PostgreSQLIntegrationTests(unittest.TestCase):
         finally:
             reader.close()
 
+    def test_history_audit_matches_sqlite_for_actual_postgresql_snapshot(self):
+        from paper_atlas.audits.histories import report
+        from tests.test_histories import add_history_fixture
+        store = Store(self.db)
+        try:
+            add_history_fixture(store)
+        finally:
+            store.conn.close()
+        expected = report(self.db)
+        self.assertEqual(self.migrate()['status'], 'complete')
+        actual = report(pg_service=self.service, pg_schema=self.target)
+        self.assertEqual(actual['engine'], 'postgresql')
+        self.assertEqual(actual['schema'], self.target)
+        for key in ('counts', 'latest_attempt_status_counts', 'evidence_relationship_checks', 'examples'):
+            self.assertEqual(actual[key], expected[key], key)
+
     def interrupt_after_first_table(self):
         calls = 0
         def interrupt(*args):

tests/test_public_openreview.py

@@ -152,6 +152,35 @@ class PublicOpenReviewTests(unittest.TestCase):
             finally:
                 store.conn.close()
 
+    def test_unicode_separators_in_abstract_survive_audit_and_import(self):
+        for separator in ('\u0085', '\u2028', '\u2029'):
+            with self.subTest(separator=repr(separator)), tempfile.TemporaryDirectory() as tmp:
+                root = Path(tmp)
+                abstract = 'First paragraph' + separator + 'Second paragraph'
+                result = self.collect(root / 'source', {
+                    'venues/icml/icml2025.jsonl': [self.row(abstract=abstract)]})
+                path = Path(result['files'][0]['file'])
+                data = path.read_bytes()
+                self.assertIn(separator.encode(), data)
+                self.assertEqual(data.count(b'\n'), 1)
+                db = root / 'db.sqlite'
+                store = Store(db)
+                store.conn.close()
+                inventory = root / 'source/public-openreview-inventory.json'
+                before = audit(db, inventory, root / 'before.json')
+                self.assertEqual(before['status'], 'ready_for_serial_import')
+                self.assertEqual(before['records_checked'], 1)
+                ingest_file(db, path)
+                after = audit(db, inventory, root / 'after.json')
+                self.assertEqual(after['status'], 'ready_for_serial_import')
+                self.assertEqual(after['existing_same_edition_attempts'], 1)
+                store = Store(db)
+                try:
+                    self.assertEqual(store.conn.execute(
+                        'SELECT abstract FROM source_records').fetchone()[0], abstract)
+                finally:
+                    store.conn.close()
+
 
 if __name__ == '__main__':
     unittest.main()