{"as_of":"2026-08-18T14:35:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:e0899135056ac7ed60919f2f05ca806274ef1d2aee58cb805027e59fbd57eaef","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":"2026-08-18T06:34:40.430872+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":"2026-08-16T10:51:12.769025Z","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":"2026-05-11T14:16:25.851324Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2311.10708","last_updated":"2024-11-27T00:15:47Z","snapshot_observed_at":"2026-08-18T09:41:00.348707Z","submitted_at":"2023-11-17T18:58:16Z","title":"SelfEval: Leveraging the discriminative nature of generative models for evaluation","version":2},"cited_work":{"arxiv_id":"2311.10708","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2311.10708","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"SelfEval: Leveraging the discriminative nature of generative models for evaluation","venue":null,"work_id":"a2aa0a64-9570-4f8c-958d-be675f37e459","year":null},"citing_paper":{"arxiv_id":"2410.13720","last_updated":"2025-02-26T16:05:55Z","snapshot_observed_at":"2026-08-17T10:09:03.767186Z","submitted_at":"2024-10-17T16:22:46Z","title":"Movie Gen: A Cast of Media Foundation Models","version":2},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-05-11T14:16:18.521699Z"},"links":{"cited_paper":"/paper/2311.10708","citing_paper":"/paper/2410.13720"},"observation_digest":"sha256:1b00e634a0779975cf1ae3150fa6e272ef31dd93e2d30ea1b22e56a7495bcff7","observation_id":"1a7118b6-1eb4-4633-84a3-1b4629c6c3b5","resolution":{"observed_at":"2026-05-11T14:16:25.866446Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2311.10708","last_updated":"2024-11-27T00:15:47Z","snapshot_observed_at":"2026-08-18T09:41:00.348707Z","submitted_at":"2023-11-17T18:58:16Z","title":"SelfEval: Leveraging the discriminative nature of generative models for evaluation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2311.10708","snapshot_observed_at":"2026-08-16T10:51:12.769025Z","title":"SelfEval: Leveraging the discriminative nature of generative models for evaluation","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2504.17253","last_updated":"2025-04-24T05:13:27Z","snapshot_observed_at":"2026-08-18T09:37:31.775440Z","submitted_at":"2025-04-24T05:13:27Z","title":"DIVE: Inverting Conditional Diffusion Models for Discriminative Tasks","version":1},"reference_index":70,"source":"pdf_text","source_observed_at":"2026-08-16T10:51:12.769025Z"},"links":{"cited_paper":"/paper/2311.10708","citing_paper":"/paper/2504.17253"},"observation_digest":"sha256:728ceb9c0aa6551a88dec1c3e1168e918dadbc49ed72500a930e4765c2d48027","observation_id":"4fe63a57-0fe2-4dfd-956b-dd71a68542f3","resolution":{"observed_at":"2026-08-16T10:51:12.769025Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2311.10708/citation-record","integrity":"/paper/2311.10708/integrity","json":"/paper/2311.10708/citation-record.json","paper":"/paper/2311.10708"},"outbound":[],"paper":{"arxiv_id":"2311.10708","last_updated":"2024-11-27T00:15:47Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-18T09:41:00.348707Z","submitted_at":"2023-11-17T18:58:16Z","title":"SelfEval: Leveraging the discriminative nature of generative models for evaluation"},"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":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"thesis":"As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2311.10708."}