{"as_of":"2026-08-15T16:53:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:687bf8fbc0e65278b31c73495a31af4c95f4e754a4871e840e276a855eece6fd","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":11,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":11,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-15T06:32:42.880941+00:00","state":"measured"},{"denominator":11,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":11,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-11T14:40:29.488769Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-05-23T20:58:26.632607Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2402.09267","last_updated":"2024-06-11T12:22:14Z","snapshot_observed_at":"2026-08-13T04:19:00.678618Z","submitted_at":"2024-02-14T15:52:42Z","title":"Self-Alignment for Factuality: Mitigating Hallucinations in LLMs via Self-Evaluation","version":2},"cited_work":{"arxiv_id":"2402.09267","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2402.09267","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"\"\" {text}","venue":null,"work_id":"ad1b9ae9-8473-40a3-a0fd-456038dce26a","year":2024},"citing_paper":{"arxiv_id":"2409.14634","last_updated":"2026-05-16T16:23:07Z","snapshot_observed_at":"2026-08-14T13:37:07.472071Z","submitted_at":"2024-09-23T00:09:34Z","title":"Human-LLM Compound System for Scientific Ideation through Facet Recombination and Novelty Evaluation","version":7},"reference_index":79,"source":"pdf_text","source_observed_at":"2026-05-23T20:58:01.255342Z"},"links":{"cited_paper":"/paper/2402.09267","citing_paper":"/paper/2409.14634"},"observation_digest":"sha256:53c660ee495c28f54dd1f82587fa2b2ec158962ef6e69aa5ea63f345a3f19c68","observation_id":"0b083ec9-eba9-410e-a0cc-6fc52ff3212f","resolution":{"observed_at":"2026-05-23T20:58:26.634854Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.09267","last_updated":"2024-06-11T12:22:14Z","snapshot_observed_at":"2026-08-13T04:19:00.678618Z","submitted_at":"2024-02-14T15:52:42Z","title":"Self-Alignment for Factuality: Mitigating Hallucinations in LLMs via Self-Evaluation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.09267","snapshot_observed_at":"2026-08-11T14:40:29.488769Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.11803","last_updated":"2025-05-23T03:05:52Z","snapshot_observed_at":"2026-08-14T20:30:09.749954Z","submitted_at":"2024-12-16T14:14:27Z","title":"UAlign: Leveraging Uncertainty Estimations for Factuality Alignment on Large Language Models","version":2},"reference_index":77,"source":"arxiv_source","source_observed_at":"2026-08-11T14:40:29.488769Z"},"links":{"cited_paper":"/paper/2402.09267","citing_paper":"/paper/2412.11803"},"observation_digest":"sha256:a75c968dce5a90ebcfd60689f3805c7ea91ea7aac99c78815b8b86e1aa547d30","observation_id":"74505a5c-73f8-4042-ab4a-10f537bbeb86","resolution":{"observed_at":"2026-08-11T14:40:29.488769Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.09267","last_updated":"2024-06-11T12:22:14Z","snapshot_observed_at":"2026-08-13T04:19:00.678618Z","submitted_at":"2024-02-14T15:52:42Z","title":"Self-Alignment for Factuality: Mitigating Hallucinations in LLMs via Self-Evaluation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.09267","snapshot_observed_at":"2026-08-10T22:35:43.978810Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.01336","last_updated":"2025-01-02T16:38:21Z","snapshot_observed_at":"2026-08-14T03:03:37.744811Z","submitted_at":"2025-01-02T16:38:21Z","title":"Aligning Large Language Models for Faithful Integrity Against Opposing Argument","version":1},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-08-10T22:35:43.978810Z"},"links":{"cited_paper":"/paper/2402.09267","citing_paper":"/paper/2501.01336"},"observation_digest":"sha256:0037a6e965287bf4a53e74b9ca8efea033ee7f099e902f9463a800a99567f9a0","observation_id":"29b22627-fb9d-4c62-b229-767c32551ffc","resolution":{"observed_at":"2026-08-10T22:35:43.978810Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.09267","last_updated":"2024-06-11T12:22:14Z","snapshot_observed_at":"2026-08-13T04:19:00.678618Z","submitted_at":"2024-02-14T15:52:42Z","title":"Self-Alignment for Factuality: Mitigating Hallucinations in LLMs via Self-Evaluation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.09267","snapshot_observed_at":"2026-08-07T15:39:21.371406Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.14406","last_updated":"2025-09-09T05:59:48Z","snapshot_observed_at":"2026-08-14T00:05:55.702661Z","submitted_at":"2025-05-20T14:20:30Z","title":"Pierce the Mists, Greet the Sky: Decipher Knowledge Overshadowing via Knowledge Circuit Analysis","version":4},"reference_index":61,"source":"arxiv_source","source_observed_at":"2026-08-07T15:39:21.371406Z"},"links":{"cited_paper":"/paper/2402.09267","citing_paper":"/paper/2505.14406"},"observation_digest":"sha256:ff27423e8965c92a685f6d38c23001b0841f0a2361c2396587b4d6d4b4ab2d1e","observation_id":"5c856176-70ca-48fc-867f-43b14b097fdf","resolution":{"observed_at":"2026-08-07T15:39:21.371406Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.09267","last_updated":"2024-06-11T12:22:14Z","snapshot_observed_at":"2026-08-13T04:19:00.678618Z","submitted_at":"2024-02-14T15:52:42Z","title":"Self-Alignment for Factuality: Mitigating Hallucinations in LLMs via Self-Evaluation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.09267","snapshot_observed_at":"2026-08-07T10:18:56.319727Z","title":"Self-alignment for factuality: Mitigating hallucinations in llms via self-evaluation,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.02870","last_updated":"2025-06-06T10:50:08Z","snapshot_observed_at":"2026-08-08T01:09:03.836574Z","submitted_at":"2025-06-06T10:50:08Z","title":"Loki's Dance of Illusions: A Comprehensive Survey of Hallucination in Large Language Models","version":1},"reference_index":93,"source":"pdf_text","source_observed_at":"2026-08-07T10:18:56.319727Z"},"links":{"cited_paper":"/paper/2402.09267","citing_paper":"/paper/2507.02870"},"observation_digest":"sha256:c05b3b733af20318ba6be8fb0ed74de487c11481f730a07ac4fa9fa9b4702d8a","observation_id":"5b8a5b64-18fb-44e6-b41f-7d7275260ab3","resolution":{"observed_at":"2026-08-07T10:18:56.319727Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.09267","last_updated":"2024-06-11T12:22:14Z","snapshot_observed_at":"2026-08-13T04:19:00.678618Z","submitted_at":"2024-02-14T15:52:42Z","title":"Self-Alignment for Factuality: Mitigating Hallucinations in LLMs via Self-Evaluation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.09267","snapshot_observed_at":"2026-08-06T20:03:53.127522Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.05288","last_updated":"2025-07-05T09:52:21Z","snapshot_observed_at":"2026-08-08T00:47:40.160909Z","submitted_at":"2025-07-05T09:52:21Z","title":"A Survey on Proactive Defense Strategies Against Misinformation in Large Language Models","version":1},"reference_index":74,"source":"arxiv_source","source_observed_at":"2026-08-06T20:03:53.127522Z"},"links":{"cited_paper":"/paper/2402.09267","citing_paper":"/paper/2507.05288"},"observation_digest":"sha256:ef32d444ce8d559af2c379b59183287b2db63a46bf50cab442683f6a796c1b9b","observation_id":"d70c21da-8f3e-41e0-afa6-844a6bc59dd6","resolution":{"observed_at":"2026-08-06T20:03:53.127522Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.09267","last_updated":"2024-06-11T12:22:14Z","snapshot_observed_at":"2026-08-13T04:19:00.678618Z","submitted_at":"2024-02-14T15:52:42Z","title":"Self-Alignment for Factuality: Mitigating Hallucinations in LLMs via Self-Evaluation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.09267","snapshot_observed_at":"2026-08-06T19:08:23.341680Z","title":"Self-Alignment for Factuality: Mitigating Hallucinations in LLMs via Self-Evaluation","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.06565","last_updated":"2025-07-23T17:02:53Z","snapshot_observed_at":"2026-08-15T13:07:46.567786Z","submitted_at":"2025-07-09T05:39:56Z","title":"A Mathematical Theory of Discursive Networks","version":5},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-06T19:08:23.341680Z"},"links":{"cited_paper":"/paper/2402.09267","citing_paper":"/paper/2507.06565"},"observation_digest":"sha256:0dd5e18df7c0d34e4e8a5d12ff850d556b3dcae0b439f97e0a3935cd9bcdd63f","observation_id":"182deb60-10fc-422f-a9d9-021c48c80f0d","resolution":{"observed_at":"2026-08-06T19:08:23.341680Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.09267","last_updated":"2024-06-11T12:22:14Z","snapshot_observed_at":"2026-08-13T04:19:00.678618Z","submitted_at":"2024-02-14T15:52:42Z","title":"Self-Alignment for Factuality: Mitigating Hallucinations in LLMs via Self-Evaluation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.09267","snapshot_observed_at":"2026-08-06T14:51:25.437067Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.17515","last_updated":"2025-07-23T13:52:27Z","snapshot_observed_at":"2026-08-15T01:13:50.722826Z","submitted_at":"2025-07-23T13:52:27Z","title":"URPO: A Unified Reward & Policy Optimization Framework for Large Language Models","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-06T14:51:25.437067Z"},"links":{"cited_paper":"/paper/2402.09267","citing_paper":"/paper/2507.17515"},"observation_digest":"sha256:15af6d1de0bca7636a626dd09041c411e34541b637b8a089fe773d3988241835","observation_id":"2e281e93-06b0-4e24-8a8f-50013c59e1b2","resolution":{"observed_at":"2026-08-06T14:51:25.437067Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.09267","last_updated":"2024-06-11T12:22:14Z","snapshot_observed_at":"2026-08-13T04:19:00.678618Z","submitted_at":"2024-02-14T15:52:42Z","title":"Self-Alignment for Factuality: Mitigating Hallucinations in LLMs via Self-Evaluation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.09267","snapshot_observed_at":"2026-08-06T14:54:29.669576Z","title":"Self-alignment for factuality: Mitigating hallucinations in llms via self-evaluation","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.00881","last_updated":"2025-07-23T11:09:19Z","snapshot_observed_at":"2026-08-15T15:12:44.710612Z","submitted_at":"2025-07-23T11:09:19Z","title":"Hallucination Detection and Mitigation with Diffusion in Multi-Variate Time-Series Foundation Models","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-06T14:54:29.669576Z"},"links":{"cited_paper":"/paper/2402.09267","citing_paper":"/paper/2508.00881"},"observation_digest":"sha256:84981f1b186ff1feaa9ab88eff09a5361cb80c1aa69f0b9aaf2b02fd1a24bd8a","observation_id":"2339f69b-85c1-4b20-be0a-82f5d09a17ea","resolution":{"observed_at":"2026-08-06T14:54:29.669576Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.09267","last_updated":"2024-06-11T12:22:14Z","snapshot_observed_at":"2026-08-13T04:19:00.678618Z","submitted_at":"2024-02-14T15:52:42Z","title":"Self-Alignment for Factuality: Mitigating Hallucinations in LLMs via Self-Evaluation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.09267","snapshot_observed_at":"2026-08-05T22:09:46.395536Z","title":"Self-alignment for factuality: M itigating hallucinations in LLM s via self-evaluation","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.07434","last_updated":"2025-08-10T17:11:56Z","snapshot_observed_at":"2026-08-07T02:35:17.826871Z","submitted_at":"2025-08-10T17:11:56Z","title":"Let's Revise Step-by-Step: A Unified Local Search Framework for Code Generation with LLMs","version":1},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-05T22:09:46.395536Z"},"links":{"cited_paper":"/paper/2402.09267","citing_paper":"/paper/2508.07434"},"observation_digest":"sha256:08d8d4d5bdfdfa9809f6585df68dcb2c0ff3d93a00947fcf76a9fc9a9624c3f6","observation_id":"1daf6d9f-f489-4564-8362-245540113197","resolution":{"observed_at":"2026-08-05T22:09:46.395536Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.09267","last_updated":"2024-06-11T12:22:14Z","snapshot_observed_at":"2026-08-13T04:19:00.678618Z","submitted_at":"2024-02-14T15:52:42Z","title":"Self-Alignment for Factuality: Mitigating Hallucinations in LLMs via Self-Evaluation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.09267","snapshot_observed_at":"2026-08-05T15:38:55.292679Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.19689","last_updated":"2025-08-27T08:52:47Z","snapshot_observed_at":"2026-08-07T07:48:25.655053Z","submitted_at":"2025-08-27T08:52:47Z","title":"Building Task Bots with Self-learning for Enhanced Adaptability, Extensibility, and Factuality","version":1},"reference_index":217,"source":"arxiv_source","source_observed_at":"2026-08-05T15:38:55.292679Z"},"links":{"cited_paper":"/paper/2402.09267","citing_paper":"/paper/2508.19689"},"observation_digest":"sha256:eac12493fe5f4ad161985f2e8d3c2d8a8f017cf4e36aef6f4844c05ca22aa257","observation_id":"6fe17b43-61db-48ac-ae53-66953654ef2f","resolution":{"observed_at":"2026-08-05T15:38:55.292679Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2402.09267/citation-record","integrity":"/paper/2402.09267/integrity","json":"/paper/2402.09267/citation-record.json","paper":"/paper/2402.09267"},"outbound":[],"paper":{"arxiv_id":"2402.09267","last_updated":"2024-06-11T12:22:14Z","latest_version":2,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-13T04:19:00.678618Z","submitted_at":"2024-02-14T15:52:42Z","title":"Self-Alignment for Factuality: Mitigating Hallucinations in LLMs via Self-Evaluation"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"thesis":"As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2402.09267."}