{"as_of":"2026-08-08T08:27:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:7538fbc77f81ab30174e7b5d1c2f1cb241af2786023df455342f7ecdc5b8bdce","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":5,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":5,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":5,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":5,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-05T22:26:40.753852Z","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":"2026-07-02T20:17:21.488969Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2502.15040","last_updated":"2025-02-20T20:55:34Z","snapshot_observed_at":"2026-08-07T23:09:29.279302Z","submitted_at":"2025-02-20T20:55:34Z","title":"Reducing Hallucinations of Medical Multimodal Large Language Models with Visual Retrieval-Augmented Generation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.15040","snapshot_observed_at":"2026-08-05T22:26:40.753852Z","title":"Reducing hallucinations of medical multi- modal large language models with visual retrieval-augmented generation","venue":null,"work_id":null,"year":2025},"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":6,"source":"pdf_text","source_observed_at":"2026-08-05T22:26:40.753852Z"},"links":{"cited_paper":"/paper/2502.15040","citing_paper":"/paper/2508.07020"},"observation_digest":"sha256:78a4e40558980e6e740c2b9c6d15f481c9e688dd36ff1e9b56c207178777e6f9","observation_id":"7dad49f6-0ca2-4643-84ca-8c9a1f8d1e05","resolution":{"observed_at":"2026-08-05T22:26:40.753852Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.15040","last_updated":"2025-02-20T20:55:34Z","snapshot_observed_at":"2026-08-07T23:09:29.279302Z","submitted_at":"2025-02-20T20:55:34Z","title":"Reducing Hallucinations of Medical Multimodal Large Language Models with Visual Retrieval-Augmented Generation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.15040","snapshot_observed_at":"2026-08-05T22:26:06.434645Z","title":"Reducing hallucinations of medical multi- modal large language models with visual retrieval-augmented generation","venue":null,"work_id":null,"year":2025},"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":6,"source":"pdf_text","source_observed_at":"2026-08-05T22:26:06.434645Z"},"links":{"cited_paper":"/paper/2502.15040","citing_paper":"/paper/2508.07031"},"observation_digest":"sha256:78de46483b4e79785218343d8dc8e5f6d50084eba90cbfbbd94e931bb120dad9","observation_id":"f0249c07-72a9-408f-b65d-7cc5f4a44a11","resolution":{"observed_at":"2026-08-05T22:26:06.434645Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.15040","last_updated":"2025-02-20T20:55:34Z","snapshot_observed_at":"2026-08-07T23:09:29.279302Z","submitted_at":"2025-02-20T20:55:34Z","title":"Reducing Hallucinations of Medical Multimodal Large Language Models with Visual Retrieval-Augmented Generation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.15040","snapshot_observed_at":"2026-08-05T16:05:38.840616Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2508.19319","last_updated":"2025-08-26T13:31:01Z","snapshot_observed_at":"2026-08-07T23:09:46.218739Z","submitted_at":"2025-08-26T13:31:01Z","title":"MedVQA-TREE: A Multimodal Reasoning and Retrieval Framework for Sarcopenia Prediction","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-05T16:05:38.840616Z"},"links":{"cited_paper":"/paper/2502.15040","citing_paper":"/paper/2508.19319"},"observation_digest":"sha256:b9e0209814648c28675933db45aa92532966bda1ac3050c46db7d079cf2c6998","observation_id":"a29367a2-8714-4faa-9309-4e6ccf9a6b5b","resolution":{"observed_at":"2026-08-05T16:05:38.840616Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.15040","last_updated":"2025-02-20T20:55:34Z","snapshot_observed_at":"2026-08-07T23:09:29.279302Z","submitted_at":"2025-02-20T20:55:34Z","title":"Reducing Hallucinations of Medical Multimodal Large Language Models with Visual Retrieval-Augmented Generation","version":1},"cited_work":{"arxiv_id":"2502.15040","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2502.15040","snapshot_observed_at":"2026-07-02T20:17:21.488969Z","title":"Reducing hallucinations of medical multimodal large language models with visual retrieval-augmented generation.arXiv preprint arXiv:2502.15040, 2025","venue":null,"work_id":"14e210ba-beaa-41e7-b788-a35063d4ae59","year":2025},"citing_paper":{"arxiv_id":"2606.07235","last_updated":"2026-06-08T12:31:09Z","snapshot_observed_at":"2026-07-06T23:46:55.970997Z","submitted_at":"2026-06-05T13:05:00Z","title":"FLOWREADER: Min-Cost Flow Optimization for Multi-Modal Long Document Q&A","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-06-27T20:47:31.149251Z"},"links":{"cited_paper":"/paper/2502.15040","citing_paper":"/paper/2606.07235"},"observation_digest":"sha256:c94c159af80a48a1b1694ad8adb56fb7fb4a466946aa80ba4aeabfba0c8ac01f","observation_id":"715adf48-120d-4058-83bc-3cca19d9c11b","resolution":{"observed_at":"2026-07-02T20:17:21.490898Z","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":"2502.15040","last_updated":"2025-02-20T20:55:34Z","snapshot_observed_at":"2026-08-07T23:09:29.279302Z","submitted_at":"2025-02-20T20:55:34Z","title":"Reducing Hallucinations of Medical Multimodal Large Language Models with Visual Retrieval-Augmented Generation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.15040","snapshot_observed_at":"2026-08-01T08:33:06.786829Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.21105","last_updated":"2026-08-05T03:26:54Z","snapshot_observed_at":"2026-08-08T08:10:38.067160Z","submitted_at":"2026-07-23T09:35:32Z","title":"HalluScope: Fine-grained Hallucination Diagnosis for Multimodal Large Language Models","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-01T08:33:06.786829Z"},"links":{"cited_paper":"/paper/2502.15040","citing_paper":"/paper/2607.21105"},"observation_digest":"sha256:14ae3c8cd0fa56e768700b3f90479b6919a7cf428035a23f621772b2dba4f44c","observation_id":"f26f4abf-940e-419d-a729-c023d903c2a3","resolution":{"observed_at":"2026-08-01T08:33:06.786829Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2502.15040/citation-record","integrity":"/paper/2502.15040/integrity","json":"/paper/2502.15040/citation-record.json","paper":"/paper/2502.15040"},"outbound":[],"paper":{"arxiv_id":"2502.15040","last_updated":"2025-02-20T20:55:34Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-07T23:09:29.279302Z","submitted_at":"2025-02-20T20:55:34Z","title":"Reducing Hallucinations of Medical Multimodal Large Language Models with Visual Retrieval-Augmented Generation"},"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 5 inbound Pith citation observations for arXiv:2502.15040."}