{"as_of":"2026-08-05T21:42:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:3b0428289352fd76f1b1ba14e11a7c02de712ee54f8a5533e97528ad78421145","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":2,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":2,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-05T06:32:48.257954+00:00","state":"measured"},{"denominator":2,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":2,"source":"paper_references, paper_reference_links","source_observed_at":"2026-07-13T20:48:11.937716Z","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":"2026-05-10T14:25:29.305555Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2503.15867","last_updated":"2025-09-03T01:51:37Z","snapshot_observed_at":"2026-07-06T20:55:51.881366Z","submitted_at":"2025-03-20T05:40:42Z","title":"TruthLens: Visual Grounding for Universal DeepFake Reasoning","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.15867","snapshot_observed_at":"2026-07-13T20:48:11.937716Z","title":"arXiv preprint arXiv:2503.15867 (2025)","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2603.21526","last_updated":"2026-06-28T13:54:49Z","snapshot_observed_at":"2026-08-04T01:09:15.562722Z","submitted_at":"2026-03-23T03:35:36Z","title":"VIGIL: Part-Grounded Structured Reasoning for Generalizable Deepfake Detection","version":2},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-07-13T20:48:11.937716Z"},"links":{"cited_paper":"/paper/2503.15867","citing_paper":"/paper/2603.21526"},"observation_digest":"sha256:d0941b72aab700037849bdb168a7b407a33732402a84979f7f8bce09a60ec74b","observation_id":"8811672b-86bf-435e-b5a9-7822056d9a96","resolution":{"observed_at":"2026-07-13T20:48:11.937716Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.15867","last_updated":"2025-09-03T01:51:37Z","snapshot_observed_at":"2026-07-06T20:55:51.881366Z","submitted_at":"2025-03-20T05:40:42Z","title":"TruthLens: Visual Grounding for Universal DeepFake Reasoning","version":3},"cited_work":{"arxiv_id":"2503.15867","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2503.15867","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Truthlens: Explainable deepfake detec- tion for face manipulated and fully synthetic data","venue":null,"work_id":"36529abb-82e1-4b8e-aa5d-5c6eaa3c6083","year":2025},"citing_paper":{"arxiv_id":"2604.13660","last_updated":"2026-04-17T10:24:38Z","snapshot_observed_at":"2026-07-06T23:01:37.207817Z","submitted_at":"2026-04-15T09:27:49Z","title":"VRAG-DFD: Verifiable Retrieval-Augmentation for MLLM-based Deepfake Detection","version":3},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-05-10T14:24:42.346112Z"},"links":{"cited_paper":"/paper/2503.15867","citing_paper":"/paper/2604.13660"},"observation_digest":"sha256:4148c444de7ecd3199a914f243cda05d41c967254a3c30d5763d533a9d71d8bb","observation_id":"188133e3-9118-41e9-933b-e74452e20338","resolution":{"observed_at":"2026-05-10T14:25:29.308415Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2503.15867/citation-record","integrity":"/paper/2503.15867/integrity","json":"/paper/2503.15867/citation-record.json","paper":"/paper/2503.15867"},"outbound":[],"paper":{"arxiv_id":"2503.15867","last_updated":"2025-09-03T01:51:37Z","latest_version":3,"primary_category":"cs.CV","snapshot_observed_at":"2026-07-06T20:55:51.881366Z","submitted_at":"2025-03-20T05:40:42Z","title":"TruthLens: Visual Grounding for Universal DeepFake Reasoning"},"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":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"thesis":"As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2503.15867."}