{"as_of":"2026-08-17T23:34:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:589f61d3c8bcb0f7cb59509bdf75cdf808eb51defead651dab479e5f434a112d","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":"2026-08-16T11:24:53.513242Z","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":"2026-05-23T00:22:18.759257Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2410.20717","last_updated":"2024-10-28T04:19:32Z","snapshot_observed_at":"2026-08-17T13:00:32.428107Z","submitted_at":"2024-10-28T04:19:32Z","title":"Face-MLLM: A Large Face Perception Model","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.20717","snapshot_observed_at":"2026-08-09T12:41:21.028540Z","title":"Face-mllm: A large face perception model","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.02307","last_updated":"2025-03-13T15:59:03Z","snapshot_observed_at":"2026-08-17T18:18:39.931662Z","submitted_at":"2025-02-04T13:24:23Z","title":"UniGaze: Towards Universal Gaze Estimation via Large-scale Pre-Training","version":2},"reference_index":70,"source":"pdf_text","source_observed_at":"2026-08-09T12:41:21.028540Z"},"links":{"cited_paper":"/paper/2410.20717","citing_paper":"/paper/2502.02307"},"observation_digest":"sha256:974717548efece333acc562c55c032de01cdc1254f5bf2f5973451b805ed7c52","observation_id":"be86dae6-7a57-4fb1-b165-e991726d51f5","resolution":{"observed_at":"2026-08-09T12:41:21.028540Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.20717","last_updated":"2024-10-28T04:19:32Z","snapshot_observed_at":"2026-08-17T13:00:32.428107Z","submitted_at":"2024-10-28T04:19:32Z","title":"Face-MLLM: A Large Face Perception Model","version":1},"cited_work":{"arxiv_id":"2410.20717","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2410.20717","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Face- mllm: A large face perception model.arXiv preprint arXiv:2410.20717, 2024a","venue":null,"work_id":"9ff6cf92-4dca-4451-a650-4900f89b14ca","year":2020},"citing_paper":{"arxiv_id":"2503.09158","last_updated":"2026-05-09T06:28:46Z","snapshot_observed_at":"2026-08-17T13:39:13.149690Z","submitted_at":"2025-03-12T08:33:46Z","title":"FaVChat: Hierarchical Prompt-Query Guided Facial Video Understanding with Data-Efficient GRPO","version":6},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-05-23T00:21:51.621582Z"},"links":{"cited_paper":"/paper/2410.20717","citing_paper":"/paper/2503.09158"},"observation_digest":"sha256:eff5e8a26471b8866a7e29e26358a18470dc26a39308fc110ae5a63fea13d3ff","observation_id":"dc692f8b-f14b-4b5e-aed9-a7d7fff1ba22","resolution":{"observed_at":"2026-05-23T00:22:18.762476Z","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":"2410.20717","last_updated":"2024-10-28T04:19:32Z","snapshot_observed_at":"2026-08-17T13:00:32.428107Z","submitted_at":"2024-10-28T04:19:32Z","title":"Face-MLLM: A Large Face Perception Model","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.20717","snapshot_observed_at":"2026-08-16T11:24:53.513242Z","title":"Face- mllm: A large face perception model","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2504.15624","last_updated":"2025-04-25T18:58:49Z","snapshot_observed_at":"2026-08-17T23:19:11.620054Z","submitted_at":"2025-04-22T06:31:57Z","title":"FaceInsight: A Multimodal Large Language Model for Face Perception","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-16T11:24:53.513242Z"},"links":{"cited_paper":"/paper/2410.20717","citing_paper":"/paper/2504.15624"},"observation_digest":"sha256:88b1093d9f7cb8ab95765209385d8916cd994bb7a209a2a6b07ece37484a809e","observation_id":"c55908f8-8390-4a32-8b9c-956a993c15b6","resolution":{"observed_at":"2026-08-16T11:24:53.513242Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.20717","last_updated":"2024-10-28T04:19:32Z","snapshot_observed_at":"2026-08-17T13:00:32.428107Z","submitted_at":"2024-10-28T04:19:32Z","title":"Face-MLLM: A Large Face Perception Model","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.20717","snapshot_observed_at":"2026-08-06T13:07:27.675297Z","title":"Face-mllm: A large face perception model","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.21015","last_updated":"2025-07-28T17:28:08Z","snapshot_observed_at":"2026-08-09T20:11:38.562500Z","submitted_at":"2025-07-28T17:28:08Z","title":"Learning Transferable Facial Emotion Representations from Large-Scale Semantically Rich Captions","version":1},"reference_index":87,"source":"pdf_text","source_observed_at":"2026-08-06T13:07:27.675297Z"},"links":{"cited_paper":"/paper/2410.20717","citing_paper":"/paper/2507.21015"},"observation_digest":"sha256:896ece9df4122bf105d426ec77826c9eb2fd91ded036153d9629f0aa46c5afa2","observation_id":"37e65246-652e-4bcb-92b5-e08e324a1669","resolution":{"observed_at":"2026-08-06T13:07:27.675297Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.20717","last_updated":"2024-10-28T04:19:32Z","snapshot_observed_at":"2026-08-17T13:00:32.428107Z","submitted_at":"2024-10-28T04:19:32Z","title":"Face-MLLM: A Large Face Perception Model","version":1},"cited_work":{"arxiv_id":"2410.20717","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2410.20717","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Face- mllm: A large face perception model.arXiv preprint arXiv:2410.20717, 2024a","venue":null,"work_id":"9ff6cf92-4dca-4451-a650-4900f89b14ca","year":2020},"citing_paper":{"arxiv_id":"2512.18073","last_updated":"2026-04-13T16:17:11Z","snapshot_observed_at":"2026-08-12T09:13:52.470940Z","submitted_at":"2025-12-19T21:23:57Z","title":"FPBench: A Comprehensive Benchmark of Multimodal Large Language Models for Fingerprint Analysis","version":2},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-05-16T20:27:40.572994Z"},"links":{"cited_paper":"/paper/2410.20717","citing_paper":"/paper/2512.18073"},"observation_digest":"sha256:1fd7250bcee7e5c1a0b7243b6b0de1faca93ea4b1221986268e01e33eaeccf77","observation_id":"0e8dfbc4-cbfd-47a5-b386-c0cfe345de76","resolution":{"observed_at":"2026-05-16T20:28:23.885484Z","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"}}],"links":{"evidence":"/evidence","html":"/paper/2410.20717/citation-record","integrity":"/paper/2410.20717/integrity","json":"/paper/2410.20717/citation-record.json","paper":"/paper/2410.20717"},"outbound":[],"paper":{"arxiv_id":"2410.20717","last_updated":"2024-10-28T04:19:32Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-17T13:00:32.428107Z","submitted_at":"2024-10-28T04:19:32Z","title":"Face-MLLM: A Large Face Perception 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":"2026-08-17T06:30:58.91139+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:2410.20717."}