{"as_of":"2026-08-07T22:34:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:a77738da3e9ca275d6eaeece3b552bfc9a72b58083429e6b5d0479fe4dfe1141","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":4,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":4,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+00:00","state":"measured"},{"denominator":4,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":4,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T21:44:54.981867Z","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":"2026-06-29T22:34:01.801514Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2501.12206","last_updated":"2025-03-26T01:49:37Z","snapshot_observed_at":"2026-07-06T20:23:53.794006Z","submitted_at":"2025-01-21T15:22:31Z","title":"PAINT: Paying Attention to INformed Tokens to Mitigate Hallucination in Large Vision-Language Model","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2501.12206","snapshot_observed_at":"2026-08-06T21:44:54.981867Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.23590","last_updated":"2025-06-30T07:52:36Z","snapshot_observed_at":"2026-08-07T18:48:58.356799Z","submitted_at":"2025-06-30T07:52:36Z","title":"CAI: Caption-Sensitive Attention Intervention for Mitigating Object Hallucination in Large Vision-Language Models","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-06T21:44:54.981867Z"},"links":{"cited_paper":"/paper/2501.12206","citing_paper":"/paper/2506.23590"},"observation_digest":"sha256:65bc303d41f15781aa628483be2fe836af516c274e5cd25fc5b0231d96c7ec8f","observation_id":"eff686ce-38f4-432d-871b-66cc90968a7d","resolution":{"observed_at":"2026-08-06T21:44:54.981867Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2501.12206","last_updated":"2025-03-26T01:49:37Z","snapshot_observed_at":"2026-07-06T20:23:53.794006Z","submitted_at":"2025-01-21T15:22:31Z","title":"PAINT: Paying Attention to INformed Tokens to Mitigate Hallucination in Large Vision-Language Model","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2501.12206","snapshot_observed_at":"2026-08-03T23:35:18.882276Z","title":"Paint: Paying attention to informed tokens to mitigate hallucination in large vision-language model.arXiv preprint arXiv:2501.12206,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2511.05017","last_updated":"2026-06-07T15:01:12Z","snapshot_observed_at":"2026-08-07T05:11:19.374607Z","submitted_at":"2025-11-07T06:39:54Z","title":"Towards Mitigating Hallucinations in Large Vision-Language Models by Refining Textual Embeddings","version":2},"reference_index":2025,"source":"pdf_text","source_observed_at":"2026-08-03T23:35:18.882276Z"},"links":{"cited_paper":"/paper/2501.12206","citing_paper":"/paper/2511.05017"},"observation_digest":"sha256:ad636f6961ce449c96530e06af61093c2e9077da5f9dc7b6059173711c3823a1","observation_id":"55ad7066-1187-4b0e-98f2-ea60b2651ddd","resolution":{"observed_at":"2026-08-03T23:35:18.882276Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2501.12206","last_updated":"2025-03-26T01:49:37Z","snapshot_observed_at":"2026-07-06T20:23:53.794006Z","submitted_at":"2025-01-21T15:22:31Z","title":"PAINT: Paying Attention to INformed Tokens to Mitigate Hallucination in Large Vision-Language Model","version":3},"cited_work":{"arxiv_id":"2501.12206","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2501.12206","snapshot_observed_at":"2026-06-29T22:34:01.801514Z","title":"arXiv preprint arXiv:2501.12206 , year=","venue":null,"work_id":"569c73aa-e536-4948-b4c7-8001f430d76d","year":2025},"citing_paper":{"arxiv_id":"2605.04641","last_updated":"2026-07-29T07:14:27Z","snapshot_observed_at":"2026-08-02T23:57:54.502941Z","submitted_at":"2026-05-06T08:32:30Z","title":"CAST: Mitigating Object Hallucination in Large Vision-Language Models via Caption-Guided Visual Attention Steering","version":1},"reference_index":74,"source":"arxiv_source","source_observed_at":"2026-05-08T18:05:38.705480Z"},"links":{"cited_paper":"/paper/2501.12206","citing_paper":"/paper/2605.04641"},"observation_digest":"sha256:0d2c1504e83625fb2713501b33e27b1109e989fcfe5c2b1dc1e88281ec7073fd","observation_id":"992b2855-7ec2-4c27-94d7-51fccf0ab630","resolution":{"observed_at":"2026-05-09T06:50:40.327897Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2501.12206","last_updated":"2025-03-26T01:49:37Z","snapshot_observed_at":"2026-07-06T20:23:53.794006Z","submitted_at":"2025-01-21T15:22:31Z","title":"PAINT: Paying Attention to INformed Tokens to Mitigate Hallucination in Large Vision-Language Model","version":3},"cited_work":{"arxiv_id":"2501.12206","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2501.12206","snapshot_observed_at":"2026-06-29T22:34:01.801514Z","title":"arXiv preprint arXiv:2501.12206 , year=","venue":null,"work_id":"569c73aa-e536-4948-b4c7-8001f430d76d","year":2025},"citing_paper":{"arxiv_id":"2605.25799","last_updated":"2026-05-25T12:49:15Z","snapshot_observed_at":"2026-07-06T23:35:41.527169Z","submitted_at":"2026-05-25T12:49:15Z","title":"Addressing Exacerbated Attention Sink for Source-Free Cross-Domain Few-Shot Learning","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-06-29T22:28:35.155099Z"},"links":{"cited_paper":"/paper/2501.12206","citing_paper":"/paper/2605.25799"},"observation_digest":"sha256:de193ea201220765dfde8406b3f2d1800912b21ff58bf267b91160e1381be58b","observation_id":"5a8682e6-8c52-484c-a40a-7d4c8aa504b5","resolution":{"observed_at":"2026-06-29T22:34:01.803714Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2501.12206/citation-record","integrity":"/paper/2501.12206/integrity","json":"/paper/2501.12206/citation-record.json","paper":"/paper/2501.12206"},"outbound":[],"paper":{"arxiv_id":"2501.12206","last_updated":"2025-03-26T01:49:37Z","latest_version":3,"primary_category":"cs.CV","snapshot_observed_at":"2026-07-06T20:23:53.794006Z","submitted_at":"2025-01-21T15:22:31Z","title":"PAINT: Paying Attention to INformed Tokens to Mitigate Hallucination in Large Vision-Language Model"},"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":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2501.12206."}