{"as_of":"2026-08-09T18:55:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:3a847e30cc040712559756912e668351d5840fc1171d130192e7664976994c23","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":"2026-08-09T06:31:02.800959+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":"2026-08-07T14:28:00.419075Z","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":"2026-05-19T16:27:39.551772Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2308.06394","last_updated":"2024-02-11T08:38:07Z","snapshot_observed_at":"2026-08-08T00:07:18.812399Z","submitted_at":"2023-08-11T21:35:20Z","title":"Detecting and Preventing Hallucinations in Large Vision Language Models","version":3},"cited_work":{"arxiv_id":"2308.06394","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2308.06394","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"arXiv preprint arXiv:2308.06394 , year=","venue":null,"work_id":"0a8f3afc-fe73-4c85-9d6e-217568430f4f","year":2023},"citing_paper":{"arxiv_id":"2309.01219","last_updated":"2025-09-14T09:34:46Z","snapshot_observed_at":"2026-07-06T16:13:46.112815Z","submitted_at":"2023-09-03T16:56:48Z","title":"Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language Models","version":3},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-05-12T14:21:16.453610Z"},"links":{"cited_paper":"/paper/2308.06394","citing_paper":"/paper/2309.01219"},"observation_digest":"sha256:728c6c5c5052aeb7badf52e18d3cc997a10407213d5fb7defdab4f94c74983d8","observation_id":"7b631a88-d2c9-490a-9809-daf757035df6","resolution":{"observed_at":"2026-05-12T14:21:16.502471Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2308.06394","last_updated":"2024-02-11T08:38:07Z","snapshot_observed_at":"2026-08-08T00:07:18.812399Z","submitted_at":"2023-08-11T21:35:20Z","title":"Detecting and Preventing Hallucinations in Large Vision Language Models","version":3},"cited_work":{"arxiv_id":"2308.06394","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2308.06394","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"arXiv preprint arXiv:2308.06394 , year=","venue":null,"work_id":"0a8f3afc-fe73-4c85-9d6e-217568430f4f","year":2023},"citing_paper":{"arxiv_id":"2309.05922","last_updated":"2023-09-12T02:34:06Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-09-12T02:34:06Z","title":"A Survey of Hallucination in Large Foundation Models","version":1},"reference_index":121,"source":"arxiv_source","source_observed_at":"2026-05-16T15:21:00.778049Z"},"links":{"cited_paper":"/paper/2308.06394","citing_paper":"/paper/2309.05922"},"observation_digest":"sha256:1f8b56569e7b35c008dd26f3e3c7d43bfd1b8e585756ec5f6dc8320bbaf1e0e7","observation_id":"d2118742-d634-465e-b7dc-c2d26b048508","resolution":{"observed_at":"2026-05-16T15:21:00.902712Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2308.06394","last_updated":"2024-02-11T08:38:07Z","snapshot_observed_at":"2026-08-08T00:07:18.812399Z","submitted_at":"2023-08-11T21:35:20Z","title":"Detecting and Preventing Hallucinations in Large Vision Language Models","version":3},"cited_work":{"arxiv_id":"2308.06394","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2308.06394","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"arXiv preprint arXiv:2308.06394 , year=","venue":null,"work_id":"0a8f3afc-fe73-4c85-9d6e-217568430f4f","year":2023},"citing_paper":{"arxiv_id":"2310.00754","last_updated":"2024-03-16T19:28:08Z","snapshot_observed_at":"2026-08-02T06:11:56.496482Z","submitted_at":"2023-10-01T18:10:53Z","title":"Analyzing and Mitigating Object Hallucination in Large Vision-Language Models","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-05-17T22:46:52.791128Z"},"links":{"cited_paper":"/paper/2308.06394","citing_paper":"/paper/2310.00754"},"observation_digest":"sha256:c0538bcf7a5ce88d67aed12f30fe0d16b745ed756a5fbd02e6ae44c642d261c7","observation_id":"a1559b26-52ec-4964-ab3f-1493c732d9b2","resolution":{"observed_at":"2026-05-17T22:46:52.857789Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2308.06394","last_updated":"2024-02-11T08:38:07Z","snapshot_observed_at":"2026-08-08T00:07:18.812399Z","submitted_at":"2023-08-11T21:35:20Z","title":"Detecting and Preventing Hallucinations in Large Vision Language Models","version":3},"cited_work":{"arxiv_id":"2308.06394","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2308.06394","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"arXiv preprint arXiv:2308.06394 , year=","venue":null,"work_id":"0a8f3afc-fe73-4c85-9d6e-217568430f4f","year":2023},"citing_paper":{"arxiv_id":"2310.14566","last_updated":"2024-03-25T06:05:24Z","snapshot_observed_at":"2026-08-02T21:20:28.501823Z","submitted_at":"2023-10-23T04:49:09Z","title":"HallusionBench: An Advanced Diagnostic Suite for Entangled Language Hallucination and Visual Illusion in Large Vision-Language Models","version":5},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-05-17T01:22:04.035994Z"},"links":{"cited_paper":"/paper/2308.06394","citing_paper":"/paper/2310.14566"},"observation_digest":"sha256:3fee24ab84c3a7314ef3c6b4b7204337df5fe7ba6549d8009356fe1dbc1a2509","observation_id":"7cfe5193-155a-4ba2-a1ae-7aa708ac0ad0","resolution":{"observed_at":"2026-05-17T01:22:04.251895Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2308.06394","last_updated":"2024-02-11T08:38:07Z","snapshot_observed_at":"2026-08-08T00:07:18.812399Z","submitted_at":"2023-08-11T21:35:20Z","title":"Detecting and Preventing Hallucinations in Large Vision Language Models","version":3},"cited_work":{"arxiv_id":"2308.06394","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2308.06394","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"arXiv preprint arXiv:2308.06394 , year=","venue":null,"work_id":"0a8f3afc-fe73-4c85-9d6e-217568430f4f","year":2023},"citing_paper":{"arxiv_id":"2311.05232","last_updated":"2024-11-19T12:42:45Z","snapshot_observed_at":"2026-07-06T16:45:07.733095Z","submitted_at":"2023-11-09T09:25:37Z","title":"A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions","version":2},"reference_index":112,"source":"pdf_text","source_observed_at":"2026-05-13T02:46:26.957539Z"},"links":{"cited_paper":"/paper/2308.06394","citing_paper":"/paper/2311.05232"},"observation_digest":"sha256:cac52b90caa6a3dcd88f9e7edfffd5130d838d68401c9d713d191e8e7f853357","observation_id":"459bf274-98c1-4d7b-b3e8-413cfd70a66c","resolution":{"observed_at":"2026-05-13T02:46:27.583529Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2308.06394","last_updated":"2024-02-11T08:38:07Z","snapshot_observed_at":"2026-08-08T00:07:18.812399Z","submitted_at":"2023-08-11T21:35:20Z","title":"Detecting and Preventing Hallucinations in Large Vision Language Models","version":3},"cited_work":{"arxiv_id":"2308.06394","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2308.06394","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"arXiv preprint arXiv:2308.06394 , year=","venue":null,"work_id":"0a8f3afc-fe73-4c85-9d6e-217568430f4f","year":2023},"citing_paper":{"arxiv_id":"2311.07397","last_updated":"2024-02-23T07:54:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-11-13T15:25:42Z","title":"AMBER: An LLM-free Multi-dimensional Benchmark for MLLMs Hallucination Evaluation","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-05-16T06:44:30.244832Z"},"links":{"cited_paper":"/paper/2308.06394","citing_paper":"/paper/2311.07397"},"observation_digest":"sha256:0f6b2421fcc57cdbfca444be9acf2487e827265c6b95b60ef34a22a1c877d4e7","observation_id":"8c07c8cd-fb6a-4391-8e50-37ab43adedc0","resolution":{"observed_at":"2026-05-16T06:44:30.269162Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2308.06394","last_updated":"2024-02-11T08:38:07Z","snapshot_observed_at":"2026-08-08T00:07:18.812399Z","submitted_at":"2023-08-11T21:35:20Z","title":"Detecting and Preventing Hallucinations in Large Vision Language Models","version":3},"cited_work":{"arxiv_id":"2308.06394","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2308.06394","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"arXiv preprint arXiv:2308.06394 , year=","venue":null,"work_id":"0a8f3afc-fe73-4c85-9d6e-217568430f4f","year":2023},"citing_paper":{"arxiv_id":"2402.00253","last_updated":"2024-05-06T01:10:01Z","snapshot_observed_at":"2026-07-06T17:23:26.913214Z","submitted_at":"2024-02-01T00:33:21Z","title":"A Survey on Hallucination in Large Vision-Language Models","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-05-13T22:10:10.186950Z"},"links":{"cited_paper":"/paper/2308.06394","citing_paper":"/paper/2402.00253"},"observation_digest":"sha256:48a87d8acf2a7bb1cff064cacda05dab27e56d2ec30434d3ffbba61cee171113","observation_id":"42e62587-55ad-4472-a0b6-54e4f4e63b51","resolution":{"observed_at":"2026-05-13T22:10:10.282992Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2308.06394","last_updated":"2024-02-11T08:38:07Z","snapshot_observed_at":"2026-08-08T00:07:18.812399Z","submitted_at":"2023-08-11T21:35:20Z","title":"Detecting and Preventing Hallucinations in Large Vision Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2308.06394","snapshot_observed_at":"2026-08-07T13:57:05.910372Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.20569","last_updated":"2025-05-29T14:24:24Z","snapshot_observed_at":"2026-08-08T00:06:38.957985Z","submitted_at":"2025-05-26T23:06:54Z","title":"Retrieval Visual Contrastive Decoding to Mitigate Object Hallucinations in Large Vision-Language Models","version":2},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-07T13:57:05.910372Z"},"links":{"cited_paper":"/paper/2308.06394","citing_paper":"/paper/2505.20569"},"observation_digest":"sha256:f4e06b4f5d4366e21d80a6cf71ae63423c5559df86db82b5267408c73a3e5a2a","observation_id":"76449b1a-149f-43e0-b9bc-edab796cc5b9","resolution":{"observed_at":"2026-08-07T13:57:05.910372Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2308.06394","last_updated":"2024-02-11T08:38:07Z","snapshot_observed_at":"2026-08-08T00:07:18.812399Z","submitted_at":"2023-08-11T21:35:20Z","title":"Detecting and Preventing Hallucinations in Large Vision Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2308.06394","snapshot_observed_at":"2026-08-07T14:28:00.419075Z","title":"Detecting and preventing hallucinations in large vision language models.arXiv preprint arXiv:2308.06394, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.21547","last_updated":"2025-05-24T22:36:15Z","snapshot_observed_at":"2026-08-08T10:18:25.298467Z","submitted_at":"2025-05-24T22:36:15Z","title":"Image Tokens Matter: Mitigating Hallucination in Discrete Tokenizer-based Large Vision-Language Models via Latent Editing","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-07T14:28:00.419075Z"},"links":{"cited_paper":"/paper/2308.06394","citing_paper":"/paper/2505.21547"},"observation_digest":"sha256:4f5f94a430f642cc13414b35a3ed622baf5c98819b3c2ba35ecd7937d2cf6f40","observation_id":"9f939dc7-ba98-489f-9e64-6bae9995da69","resolution":{"observed_at":"2026-08-07T14:28:00.419075Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2308.06394","last_updated":"2024-02-11T08:38:07Z","snapshot_observed_at":"2026-08-08T00:07:18.812399Z","submitted_at":"2023-08-11T21:35:20Z","title":"Detecting and Preventing Hallucinations in Large Vision Language Models","version":3},"cited_work":{"arxiv_id":"2308.06394","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2308.06394","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"arXiv preprint arXiv:2308.06394 , year=","venue":null,"work_id":"0a8f3afc-fe73-4c85-9d6e-217568430f4f","year":2023},"citing_paper":{"arxiv_id":"2604.26614","last_updated":"2026-04-29T12:41:39Z","snapshot_observed_at":"2026-07-06T23:12:15.279847Z","submitted_at":"2026-04-29T12:41:39Z","title":"State Beyond Appearance: Diagnosing and Improving State Consistency in Dial-Based Measurement Reading","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-05-07T11:45:57.291112Z"},"links":{"cited_paper":"/paper/2308.06394","citing_paper":"/paper/2604.26614"},"observation_digest":"sha256:ea20207da1db9b2f9b41d5ec09091cc278f387e8823c2cb90707fe39d22bde31","observation_id":"b9564df1-5d3f-4762-8b9e-b811eebcc27f","resolution":{"observed_at":"2026-05-12T09:16:26.496456Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2308.06394","last_updated":"2024-02-11T08:38:07Z","snapshot_observed_at":"2026-08-08T00:07:18.812399Z","submitted_at":"2023-08-11T21:35:20Z","title":"Detecting and Preventing Hallucinations in Large Vision Language Models","version":3},"cited_work":{"arxiv_id":"2308.06394","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2308.06394","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"arXiv preprint arXiv:2308.06394 , year=","venue":null,"work_id":"0a8f3afc-fe73-4c85-9d6e-217568430f4f","year":2023},"citing_paper":{"arxiv_id":"2605.15300","last_updated":"2026-05-14T18:14:15Z","snapshot_observed_at":"2026-07-06T23:26:37.362117Z","submitted_at":"2026-05-14T18:14:15Z","title":"Deep Pre-Alignment for VLMs","version":1},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-05-19T16:26:41.094936Z"},"links":{"cited_paper":"/paper/2308.06394","citing_paper":"/paper/2605.15300"},"observation_digest":"sha256:d25ae02ad35f32b8ecbf4023ddf231bc8b4ec55864ed2f2effa889e9a9a8fe9a","observation_id":"8fa3f52a-59c6-4bab-a4e5-7cd1d1cb728c","resolution":{"observed_at":"2026-05-19T16:27:39.553509Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2308.06394/citation-record","integrity":"/paper/2308.06394/integrity","json":"/paper/2308.06394/citation-record.json","paper":"/paper/2308.06394"},"outbound":[],"paper":{"arxiv_id":"2308.06394","last_updated":"2024-02-11T08:38:07Z","latest_version":3,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-08T00:07:18.812399Z","submitted_at":"2023-08-11T21:35:20Z","title":"Detecting and Preventing Hallucinations in Large Vision Language Models"},"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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2308.06394."}