{"as_of":"2026-08-17T20:39:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:434950fe54bfadc34709ca755d95d2b1e1874dd9c2c8394c2dc50c1db8ad2021","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":"2026-08-17T06:30:58.91139+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":"2026-08-16T11:32:25.032252Z","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":"2026-07-01T22:16:15.812034Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2408.09153","last_updated":"2024-08-17T09:54:21Z","snapshot_observed_at":"2026-08-16T13:25:52.154007Z","submitted_at":"2024-08-17T09:54:21Z","title":"Are CLIP features all you need for Universal Synthetic Image Origin Attribution?","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.09153","snapshot_observed_at":"2026-08-16T11:32:25.032252Z","title":"Are clip features all you need for universal synthetic image origin attribution? arXiv preprint arXiv:2408.09153, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2504.15470","last_updated":"2025-04-21T22:39:24Z","snapshot_observed_at":"2026-08-17T08:08:17.805605Z","submitted_at":"2025-04-21T22:39:24Z","title":"Manifold Induced Biases for Zero-shot and Few-shot Detection of Generated Images","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-16T11:32:25.032252Z"},"links":{"cited_paper":"/paper/2408.09153","citing_paper":"/paper/2504.15470"},"observation_digest":"sha256:d6da8a6bc8294e9ca73d09631d02b4d9028b19a36d6a331e2484bdd4e25323ef","observation_id":"4574de30-5c00-4769-9d4d-9c247b2c0e4e","resolution":{"observed_at":"2026-08-16T11:32:25.032252Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.09153","last_updated":"2024-08-17T09:54:21Z","snapshot_observed_at":"2026-08-16T13:25:52.154007Z","submitted_at":"2024-08-17T09:54:21Z","title":"Are CLIP features all you need for Universal Synthetic Image Origin Attribution?","version":1},"cited_work":{"arxiv_id":"2408.09153","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2408.09153","snapshot_observed_at":"2026-07-01T22:16:15.812034Z","title":"Are clip features all you need for universal synthetic image origin attribution?","venue":null,"work_id":"a4e3e840-74d6-45cd-94a8-79881ed72bd4","year":2024},"citing_paper":{"arxiv_id":"2605.12967","last_updated":"2026-05-13T04:01:10Z","snapshot_observed_at":"2026-08-10T22:32:32.543739Z","submitted_at":"2026-05-13T04:01:10Z","title":"ImageAttributionBench: How Far Are We from Generalizable Attribution?","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-05-14T19:38:41.659261Z"},"links":{"cited_paper":"/paper/2408.09153","citing_paper":"/paper/2605.12967"},"observation_digest":"sha256:0e9f8678f3045da796e682eaa98e8373c042108dfb7b871affd72859a3b0ddf5","observation_id":"d72aad54-41ce-4f87-9f10-a2dc875f4b6d","resolution":{"observed_at":"2026-05-14T19:39:23.869814Z","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":"2408.09153","last_updated":"2024-08-17T09:54:21Z","snapshot_observed_at":"2026-08-16T13:25:52.154007Z","submitted_at":"2024-08-17T09:54:21Z","title":"Are CLIP features all you need for Universal Synthetic Image Origin Attribution?","version":1},"cited_work":{"arxiv_id":"2408.09153","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2408.09153","snapshot_observed_at":"2026-07-01T22:16:15.812034Z","title":"Are clip features all you need for universal synthetic image origin attribution?","venue":null,"work_id":"a4e3e840-74d6-45cd-94a8-79881ed72bd4","year":2024},"citing_paper":{"arxiv_id":"2606.02224","last_updated":"2026-06-09T12:14:34Z","snapshot_observed_at":"2026-08-07T23:51:53.993306Z","submitted_at":"2026-06-01T13:22:51Z","title":"Chroma Clues: Leveraging Color Statistics to Detect Synthetic Images","version":2},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-06-28T15:39:02.451615Z"},"links":{"cited_paper":"/paper/2408.09153","citing_paper":"/paper/2606.02224"},"observation_digest":"sha256:0b1354a31637a9b34d4a838f1f65ca1163f3b76216dccd5179d99d24626f5112","observation_id":"6e306d36-5f26-4806-a2e6-0a712cd7651f","resolution":{"observed_at":"2026-07-01T22:16:15.813390Z","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/2408.09153/citation-record","integrity":"/paper/2408.09153/integrity","json":"/paper/2408.09153/citation-record.json","paper":"/paper/2408.09153"},"outbound":[],"paper":{"arxiv_id":"2408.09153","last_updated":"2024-08-17T09:54:21Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-16T13:25:52.154007Z","submitted_at":"2024-08-17T09:54:21Z","title":"Are CLIP features all you need for Universal Synthetic Image Origin Attribution?"},"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 3 inbound Pith citation observations for arXiv:2408.09153."}