{"as_of":"2026-08-17T17:28:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:adb98675fdf76e5900cec9aed1389cc80e01de66ec41953abbf334525b78225e","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":"2026-08-17T06:30:58.91139+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":"2026-08-15T22:29:54.757189Z","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":"2026-07-04T10:39:46.060735Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2503.17489","last_updated":"2025-03-21T18:59:20Z","snapshot_observed_at":"2026-08-16T12:47:51.055316Z","submitted_at":"2025-03-21T18:59:20Z","title":"Judge Anything: MLLM as a Judge Across Any Modality","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.17489","snapshot_observed_at":"2026-08-15T22:29:54.757189Z","title":"Judge anything: Mllm as a judge across any modality,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.07084","last_updated":"2025-09-09T06:37:28Z","snapshot_observed_at":"2026-08-15T23:14:33.715517Z","submitted_at":"2025-05-11T18:14:33Z","title":"DriveSOTIF: Advancing Perception SOTIF Through Multimodal Large Language Models","version":3},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-15T22:29:54.757189Z"},"links":{"cited_paper":"/paper/2503.17489","citing_paper":"/paper/2505.07084"},"observation_digest":"sha256:b7fe0c259a8998303920e4254b7513f07ae3a6ce410135b67ca4473f797c12f1","observation_id":"9e3e05d4-7447-44bb-84dd-44b438aad7c3","resolution":{"observed_at":"2026-08-15T22:29:54.757189Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.17489","last_updated":"2025-03-21T18:59:20Z","snapshot_observed_at":"2026-08-16T12:47:51.055316Z","submitted_at":"2025-03-21T18:59:20Z","title":"Judge Anything: MLLM as a Judge Across Any Modality","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.17489","snapshot_observed_at":"2026-08-05T14:21:55.725194Z","title":"Advances in neural in- formation processing systems, 35:27730–27744","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2508.21430","last_updated":"2025-08-29T08:58:39Z","snapshot_observed_at":"2026-08-13T05:25:05.964357Z","submitted_at":"2025-08-29T08:58:39Z","title":"Med-RewardBench: Benchmarking Reward Models and Judges for Medical Multimodal Large Language Models","version":1},"reference_index":2022,"source":"pdf_text","source_observed_at":"2026-08-05T14:21:55.725194Z"},"links":{"cited_paper":"/paper/2503.17489","citing_paper":"/paper/2508.21430"},"observation_digest":"sha256:be284c406b6158e8befe6e4d7ad40cabaa455199e1cd08c02f47c5a4f05123eb","observation_id":"33c3338e-64c2-4b7c-a62f-2420b1d25284","resolution":{"observed_at":"2026-08-05T14:21:55.725194Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.17489","last_updated":"2025-03-21T18:59:20Z","snapshot_observed_at":"2026-08-16T12:47:51.055316Z","submitted_at":"2025-03-21T18:59:20Z","title":"Judge Anything: MLLM as a Judge Across Any Modality","version":1},"cited_work":{"arxiv_id":"2503.17489","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2503.17489","snapshot_observed_at":"2026-07-04T10:39:46.060735Z","title":"Peng Qi, Zehong Yan, Wynne Hsu, and Mong Li Lee","venue":null,"work_id":"b95adc0a-c728-489b-ad29-88c8d517ccda","year":2025},"citing_paper":{"arxiv_id":"2601.05563","last_updated":"2026-04-23T01:59:08Z","snapshot_observed_at":"2026-08-03T00:10:22.550024Z","submitted_at":"2026-01-09T06:29:19Z","title":"What's Left Unsaid? Detecting and Correcting Misleading Omissions in Multimodal News Previews","version":3},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-05-16T16:26:51.790645Z"},"links":{"cited_paper":"/paper/2503.17489","citing_paper":"/paper/2601.05563"},"observation_digest":"sha256:affff2986239bc48fde65e1758b35e607e250c26fabadeb97cc634b265a9f1c2","observation_id":"acb0cce1-979a-48ef-80ba-2294e35ef2e1","resolution":{"observed_at":"2026-05-16T16:28:05.466320Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2503.17489","last_updated":"2025-03-21T18:59:20Z","snapshot_observed_at":"2026-08-16T12:47:51.055316Z","submitted_at":"2025-03-21T18:59:20Z","title":"Judge Anything: MLLM as a Judge Across Any Modality","version":1},"cited_work":{"arxiv_id":"2503.17489","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2503.17489","snapshot_observed_at":"2026-07-04T10:39:46.060735Z","title":"Peng Qi, Zehong Yan, Wynne Hsu, and Mong Li Lee","venue":null,"work_id":"b95adc0a-c728-489b-ad29-88c8d517ccda","year":2025},"citing_paper":{"arxiv_id":"2604.20544","last_updated":"2026-04-22T13:28:27Z","snapshot_observed_at":"2026-08-17T13:46:08.887095Z","submitted_at":"2026-04-22T13:28:27Z","title":"Evian: Towards Explainable Visual Instruction-tuning Data Auditing","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-05-10T00:51:40.069488Z"},"links":{"cited_paper":"/paper/2503.17489","citing_paper":"/paper/2604.20544"},"observation_digest":"sha256:4df317d393bbca8e4c87e1395a60f0ca716658f8960f752c99616420f13390ba","observation_id":"38d77aa5-e919-4521-9d32-7431b3b1da6d","resolution":{"observed_at":"2026-05-10T00:54:48.547259Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2503.17489","last_updated":"2025-03-21T18:59:20Z","snapshot_observed_at":"2026-08-16T12:47:51.055316Z","submitted_at":"2025-03-21T18:59:20Z","title":"Judge Anything: MLLM as a Judge Across Any Modality","version":1},"cited_work":{"arxiv_id":"2503.17489","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2503.17489","snapshot_observed_at":"2026-07-04T10:39:46.060735Z","title":"Peng Qi, Zehong Yan, Wynne Hsu, and Mong Li Lee","venue":null,"work_id":"b95adc0a-c728-489b-ad29-88c8d517ccda","year":2025},"citing_paper":{"arxiv_id":"2606.23543","last_updated":"2026-06-22T16:17:30Z","snapshot_observed_at":"2026-08-16T08:58:46.476606Z","submitted_at":"2026-06-22T16:17:30Z","title":"VeriEvol: Scaling Multimodal Mathematical Reasoning via Verifiable Evol-Instruct","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-06-26T08:34:27.719022Z"},"links":{"cited_paper":"/paper/2503.17489","citing_paper":"/paper/2606.23543"},"observation_digest":"sha256:46c7384265f684457998fcdd4aa6b4f1cff6e6e8d2a3bd6ff4f2b12a61abe8b9","observation_id":"79eb2f02-500d-45be-b296-80233dc847cf","resolution":{"observed_at":"2026-07-04T10:39:46.062441Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2503.17489/citation-record","integrity":"/paper/2503.17489/integrity","json":"/paper/2503.17489/citation-record.json","paper":"/paper/2503.17489"},"outbound":[],"paper":{"arxiv_id":"2503.17489","last_updated":"2025-03-21T18:59:20Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-16T12:47:51.055316Z","submitted_at":"2025-03-21T18:59:20Z","title":"Judge Anything: MLLM as a Judge Across Any Modality"},"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":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"thesis":"As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2503.17489."}