{"as_of":"2026-08-08T06:43:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:bf73835b2c748d97f64258c1338fecbf4bdff760409fa6ceb79ff1cebacd00a0","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":"2026-08-08T06:32:00.761636+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":"2026-08-01T14:29:53.697713Z","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":"2026-05-10T11:25:19.626123Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2307.02347","last_updated":"2023-09-28T12:40:56Z","snapshot_observed_at":"2026-07-06T15:50:37.546095Z","submitted_at":"2023-07-05T15:03:10Z","title":"Detecting Images Generated by Deep Diffusion Models using their Local Intrinsic Dimensionality","version":7},"cited_work":{"arxiv_id":"2307.02347","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2307.02347","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"47a9953a-68a5-4289-bf1c-9d4626029961","year":2023},"citing_paper":{"arxiv_id":"2604.14570","last_updated":"2026-04-16T03:02:04Z","snapshot_observed_at":"2026-07-06T23:02:18.425249Z","submitted_at":"2026-04-16T03:02:04Z","title":"Deepfake Detection Generalization with Diffusion Noise","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-05-10T11:22:31.988852Z"},"links":{"cited_paper":"/paper/2307.02347","citing_paper":"/paper/2604.14570"},"observation_digest":"sha256:4ac5ef34df40c24382bca6dbd849d54598dda6592d726759105444618c77e4ad","observation_id":"2d58bb52-7703-4c1e-a552-4dea3cbe0c50","resolution":{"observed_at":"2026-05-10T11:25:19.628940Z","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":"2307.02347","last_updated":"2023-09-28T12:40:56Z","snapshot_observed_at":"2026-07-06T15:50:37.546095Z","submitted_at":"2023-07-05T15:03:10Z","title":"Detecting Images Generated by Deep Diffusion Models using their Local Intrinsic Dimensionality","version":7},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.02347","snapshot_observed_at":"2026-08-01T14:29:53.697713Z","title":"Durall, and Janis Keuper","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.18770","last_updated":"2026-07-21T06:52:46Z","snapshot_observed_at":"2026-08-07T17:16:46.900196Z","submitted_at":"2026-07-21T06:52:46Z","title":"GLID: Gated Local Intrinsic Dimension Repairs the Blind Spots of Face-Forgery Detectors","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-01T14:29:53.697713Z"},"links":{"cited_paper":"/paper/2307.02347","citing_paper":"/paper/2607.18770"},"observation_digest":"sha256:3cf0c64a187a7f952857f3804f6e89103403c0bb1e3f6594e6918b7796c276cd","observation_id":"bd015e5a-7d2b-49ec-b663-2910f2d61bd9","resolution":{"observed_at":"2026-08-01T14:29:53.697713Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2307.02347/citation-record","integrity":"/paper/2307.02347/integrity","json":"/paper/2307.02347/citation-record.json","paper":"/paper/2307.02347"},"outbound":[],"paper":{"arxiv_id":"2307.02347","last_updated":"2023-09-28T12:40:56Z","latest_version":7,"primary_category":"cs.CV","snapshot_observed_at":"2026-07-06T15:50:37.546095Z","submitted_at":"2023-07-05T15:03:10Z","title":"Detecting Images Generated by Deep Diffusion Models using their Local Intrinsic Dimensionality"},"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 2 inbound Pith citation observations for arXiv:2307.02347."}