{"as_of":"2026-08-08T09:57:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:cd322a783e6b2b3aa97bc451799292bcab4ccca9a47ad262c2f94c31debfe403","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":9,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":9,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":9,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":9,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T10:19:11.288187Z","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":"2026-07-03T14:38:28.969559Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2412.18947","last_updated":"2025-03-28T23:37:45Z","snapshot_observed_at":"2026-08-07T23:09:22.936297Z","submitted_at":"2024-12-25T16:51:29Z","title":"MedHallBench: A New Benchmark for Assessing Hallucination in Medical Large Language Models","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.18947","snapshot_observed_at":"2026-08-07T10:19:11.288187Z","title":"Medhallbench: A new benchmark for assessing hallucination in medical large language models,","venue":null,"work_id":null,"year":2025},"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":200,"source":"pdf_text","source_observed_at":"2026-08-07T10:19:11.288187Z"},"links":{"cited_paper":"/paper/2412.18947","citing_paper":"/paper/2507.02870"},"observation_digest":"sha256:f50e36f6801f1cf4f786e7e70ff33fb31a13280a9faa1b46ec55135002eeb3a7","observation_id":"dd44847f-7dc3-4363-a261-9311cbbb39d0","resolution":{"observed_at":"2026-08-07T10:19:11.288187Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.18947","last_updated":"2025-03-28T23:37:45Z","snapshot_observed_at":"2026-08-07T23:09:22.936297Z","submitted_at":"2024-12-25T16:51:29Z","title":"MedHallBench: A New Benchmark for Assessing Hallucination in Medical Large Language Models","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.18947","snapshot_observed_at":"2026-08-06T05:29:21.056789Z","title":"Medhallbench: A new benchmark for assessing hallucination in medical large language models","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.01781","last_updated":"2025-08-03T14:37:16Z","snapshot_observed_at":"2026-08-07T21:40:51.636920Z","submitted_at":"2025-08-03T14:37:16Z","title":"A comprehensive taxonomy of hallucinations in Large Language Models","version":1},"reference_index":109,"source":"pdf_text","source_observed_at":"2026-08-06T05:29:21.056789Z"},"links":{"cited_paper":"/paper/2412.18947","citing_paper":"/paper/2508.01781"},"observation_digest":"sha256:9abc8bb372adf9a523ed74aea065dcb6541677b435751e2c4ff205345a7a0e9f","observation_id":"04ce2e7e-d737-4d09-b44d-e3a85a5e8824","resolution":{"observed_at":"2026-08-06T05:29:21.056789Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.18947","last_updated":"2025-03-28T23:37:45Z","snapshot_observed_at":"2026-08-07T23:09:22.936297Z","submitted_at":"2024-12-25T16:51:29Z","title":"MedHallBench: A New Benchmark for Assessing Hallucination in Medical Large Language Models","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.18947","snapshot_observed_at":"2026-08-05T22:26:40.829467Z","title":"MedHallBench: A new bench- mark for assessing hallucination in medical large language models","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.07020","last_updated":"2025-08-09T15:32:22Z","snapshot_observed_at":"2026-08-07T23:09:40.379479Z","submitted_at":"2025-08-09T15:32:22Z","title":"TerraMAE: Learning Spatial-Spectral Representations from Hyperspectral Earth Observation Data via Adaptive Masked Autoencoders","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-05T22:26:40.829467Z"},"links":{"cited_paper":"/paper/2412.18947","citing_paper":"/paper/2508.07020"},"observation_digest":"sha256:6db0dfb13a8c25fec8461eb3160273030cd54f2010121d0a88b8f3c26a327b4b","observation_id":"038607a1-13e2-41aa-a690-ab5f2d7550b7","resolution":{"observed_at":"2026-08-05T22:26:40.829467Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.18947","last_updated":"2025-03-28T23:37:45Z","snapshot_observed_at":"2026-08-07T23:09:22.936297Z","submitted_at":"2024-12-25T16:51:29Z","title":"MedHallBench: A New Benchmark for Assessing Hallucination in Medical Large Language Models","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.18947","snapshot_observed_at":"2026-08-05T22:26:06.534145Z","title":"MedHallBench: A new bench- mark for assessing hallucination in medical large language models","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.07031","last_updated":"2025-08-09T16:03:46Z","snapshot_observed_at":"2026-08-07T21:10:41.987125Z","submitted_at":"2025-08-09T16:03:46Z","title":"Trustworthy Medical Imaging with Large Language Models: A Study of Hallucinations Across Modalities","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-05T22:26:06.534145Z"},"links":{"cited_paper":"/paper/2412.18947","citing_paper":"/paper/2508.07031"},"observation_digest":"sha256:f28bba1f63e67f8d812e297e68051e1a413919405bb9c3a6e1edce43b8b831d5","observation_id":"baa9a7b1-57c2-4848-91ed-e9d0ce1365f3","resolution":{"observed_at":"2026-08-05T22:26:06.534145Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.18947","last_updated":"2025-03-28T23:37:45Z","snapshot_observed_at":"2026-08-07T23:09:22.936297Z","submitted_at":"2024-12-25T16:51:29Z","title":"MedHallBench: A New Benchmark for Assessing Hallucination in Medical Large Language Models","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.18947","snapshot_observed_at":"2026-08-05T19:49:52.789854Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.11779","last_updated":"2025-08-15T19:05:57Z","snapshot_observed_at":"2026-08-07T23:09:47.782489Z","submitted_at":"2025-08-15T19:05:57Z","title":"A Multi-Task Evaluation of LLMs' Processing of Academic Text Input","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-05T19:49:52.789854Z"},"links":{"cited_paper":"/paper/2412.18947","citing_paper":"/paper/2508.11779"},"observation_digest":"sha256:0b4e71574114f96f394e7aac2a50d6bb97bc14c513f6cc10a429ca368e50d0f2","observation_id":"456e0b79-1c9f-4d9e-b161-5bfb1f2679aa","resolution":{"observed_at":"2026-08-05T19:49:52.789854Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.18947","last_updated":"2025-03-28T23:37:45Z","snapshot_observed_at":"2026-08-07T23:09:22.936297Z","submitted_at":"2024-12-25T16:51:29Z","title":"MedHallBench: A New Benchmark for Assessing Hallucination in Medical Large Language Models","version":4},"cited_work":{"arxiv_id":"2412.18947","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2412.18947","snapshot_observed_at":"2026-07-03T14:38:28.969559Z","title":"MedHallBench: a benchmark for hallucination detection in med- ical VLMs with reinforcement learning-assisted annotation,","venue":null,"work_id":"aede608a-cee7-4d2e-9542-52f931c311a6","year":2024},"citing_paper":{"arxiv_id":"2605.17028","last_updated":"2026-05-16T14:57:15Z","snapshot_observed_at":"2026-07-06T23:28:06.971959Z","submitted_at":"2026-05-16T14:57:15Z","title":"PARALLAX: Separating Genuine Hallucination Detection from Benchmark Construction Artifacts","version":1},"reference_index":36,"source":"arxiv_source","source_observed_at":"2026-05-19T20:09:47.750043Z"},"links":{"cited_paper":"/paper/2412.18947","citing_paper":"/paper/2605.17028"},"observation_digest":"sha256:efbbfb1266563df75d1a9a99efe786c80e781e4324359db63b7be93209f7b702","observation_id":"f75f4bb8-a881-4007-bea9-ad58fdb4dc7d","resolution":{"observed_at":"2026-05-19T20:12:44.896323Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2412.18947","last_updated":"2025-03-28T23:37:45Z","snapshot_observed_at":"2026-08-07T23:09:22.936297Z","submitted_at":"2024-12-25T16:51:29Z","title":"MedHallBench: A New Benchmark for Assessing Hallucination in Medical Large Language Models","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.18947","snapshot_observed_at":"2026-07-12T20:40:22.043187Z","title":"MedHallBench: A new benchmark for assessing hallucination in medical large language models.arXiv preprint arXiv:2412.18947,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.05170","last_updated":"2026-04-15T09:22:46Z","snapshot_observed_at":"2026-08-07T05:18:44.796385Z","submitted_at":"2026-04-15T09:22:46Z","title":"ERRORQUAKE: Heavy-Tailed Error Severity Distributions in Open-Weight Large Language Models","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-07-12T20:40:22.043187Z"},"links":{"cited_paper":"/paper/2412.18947","citing_paper":"/paper/2606.05170"},"observation_digest":"sha256:0e99e9f94d142bc4dd90acf90cf0bb3f0451e0e93322897dc588f0c4a736fa20","observation_id":"1e92785f-c4af-4572-bda8-1688b7c71bfa","resolution":{"observed_at":"2026-07-12T20:40:22.043187Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.18947","last_updated":"2025-03-28T23:37:45Z","snapshot_observed_at":"2026-08-07T23:09:22.936297Z","submitted_at":"2024-12-25T16:51:29Z","title":"MedHallBench: A New Benchmark for Assessing Hallucination in Medical Large Language Models","version":4},"cited_work":{"arxiv_id":"2412.18947","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2412.18947","snapshot_observed_at":"2026-07-03T14:38:28.969559Z","title":"MedHallBench: a benchmark for hallucination detection in med- ical VLMs with reinforcement learning-assisted annotation,","venue":null,"work_id":"aede608a-cee7-4d2e-9542-52f931c311a6","year":2024},"citing_paper":{"arxiv_id":"2606.13211","last_updated":"2026-06-11T11:19:31Z","snapshot_observed_at":"2026-08-02T12:17:19.643984Z","submitted_at":"2026-06-11T11:19:31Z","title":"Hallucination in Medical Imaging AI: A Cross-Modality Analytical Framework for Taxonomy, Detection, and Mitigation under Regulatory Constraints","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-06-27T07:00:54.990637Z"},"links":{"cited_paper":"/paper/2412.18947","citing_paper":"/paper/2606.13211"},"observation_digest":"sha256:fc31ddad9f6786b0b535447b6b060032f50e3957d2d41466c5d71ba88c55ccd6","observation_id":"be9bd705-9c52-4a50-8ad7-ff9c51334350","resolution":{"observed_at":"2026-07-03T14:38:28.970985Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2412.18947","last_updated":"2025-03-28T23:37:45Z","snapshot_observed_at":"2026-08-07T23:09:22.936297Z","submitted_at":"2024-12-25T16:51:29Z","title":"MedHallBench: A New Benchmark for Assessing Hallucination in Medical Large Language Models","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.18947","snapshot_observed_at":"2026-08-05T12:40:15.241605Z","title":"arXiv preprint arXiv:2412.18947 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.03782","last_updated":"2026-08-04T15:03:29Z","snapshot_observed_at":"2026-08-07T23:12:27.206532Z","submitted_at":"2026-08-04T15:03:29Z","title":"KnowHal: A Knowledge-Driven Benchmark for Comprehensive Multimodal Hallucination Evaluation","version":1},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-05T12:40:15.241605Z"},"links":{"cited_paper":"/paper/2412.18947","citing_paper":"/paper/2608.03782"},"observation_digest":"sha256:ea288c78d34ea8b15a4cf472072f459a3b4979eaa77a2b091ce519ee3014dd06","observation_id":"eff9e784-fec0-4680-a789-70fef4a19c29","resolution":{"observed_at":"2026-08-05T12:40:15.241605Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2412.18947/citation-record","integrity":"/paper/2412.18947/integrity","json":"/paper/2412.18947/citation-record.json","paper":"/paper/2412.18947"},"outbound":[],"paper":{"arxiv_id":"2412.18947","last_updated":"2025-03-28T23:37:45Z","latest_version":4,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-07T23:09:22.936297Z","submitted_at":"2024-12-25T16:51:29Z","title":"MedHallBench: A New Benchmark for Assessing Hallucination in Medical Large 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":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2412.18947."}