{"as_of":"2026-08-10T01:45:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:a31078ab9d5f2a7ddc04b6cbcb691ac4949582c50260d5e217a372095f9e1324","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":3,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":3,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":3,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":3,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T20:32:59.724346Z","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":"2026-08-07T16:50:04.694516Z","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":"2026-08-06T20:32:59.724346Z","title":"Truthlens: Explainable deepfake detection for face manipulated and fully synthetic data","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2507.02664","last_updated":"2025-07-07T08:00:38Z","snapshot_observed_at":"2026-08-09T23:50:06.162470Z","submitted_at":"2025-07-03T14:26:31Z","title":"AIGI-Holmes: Towards Explainable and Generalizable AI-Generated Image Detection via Multimodal Large Language Models","version":2},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-06T20:32:59.724346Z"},"links":{"cited_paper":"/paper/2503.15867","citing_paper":"/paper/2507.02664"},"observation_digest":"sha256:b8203a9322537353087f758db14b6044a29534dcd7c0dbb1e4ccf11e16ef0a84","observation_id":"237b939b-fafc-4d0f-ab1f-857659f14ba9","resolution":{"observed_at":"2026-08-06T20:32:59.724346Z","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":"2026-08-07T16:50:04.694516Z","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":"2026-08-08T11:32:22.208825Z","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":"sha256:966f340d8e2263bca75ad53fc301c597a9623aa1e96d961747a5078c7cddbd17","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":"2026-08-07T16:50:04.694516Z","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":"sha256:63c28577aca79379ef76ea0616c97a15a5e986660420187513b6d65f7cfc2084","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 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-07T16:50:04.694516Z","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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2503.15867."}