{"as_of":"2026-08-13T03:57:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:555db65fb6e81e0c96698846755b250d55fa8b354c1a10df49bae2441d253f18","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":4,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":4,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-12T06:34:41.77262+00:00","state":"measured"},{"denominator":4,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":4,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-12T05:18:56.125219Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-08-05T13:26:24.909308Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2406.04662","last_updated":"2024-06-07T06:14:18Z","snapshot_observed_at":"2026-08-12T23:48:10.820378Z","submitted_at":"2024-06-07T06:14:18Z","title":"Evaluating and Mitigating IP Infringement in Visual Generative AI","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.04662","snapshot_observed_at":"2026-08-12T05:18:56.125219Z","title":"Evaluating and mitigating ip infringement in visual generative ai","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2412.00580","last_updated":"2025-01-15T05:30:24Z","snapshot_observed_at":"2026-08-12T05:10:18.132492Z","submitted_at":"2024-11-30T20:40:10Z","title":"Continuous Concepts Removal in Text-to-image Diffusion Models","version":2},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-12T05:18:56.125219Z"},"links":{"cited_paper":"/paper/2406.04662","citing_paper":"/paper/2412.00580"},"observation_digest":"sha256:7091c25e81aa47ae842ec63db262f46ac8626397c1fca31326e50855eec59637","observation_id":"774c0059-98af-4632-85e3-019eafa388c8","resolution":{"observed_at":"2026-08-12T05:18:56.125219Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.04662","last_updated":"2024-06-07T06:14:18Z","snapshot_observed_at":"2026-08-12T23:48:10.820378Z","submitted_at":"2024-06-07T06:14:18Z","title":"Evaluating and Mitigating IP Infringement in Visual Generative AI","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.04662","snapshot_observed_at":"2026-08-08T13:08:48.738397Z","title":"Evaluating and mitigating ip infringement in visual generative ai,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.07323","last_updated":"2025-02-11T07:42:44Z","snapshot_observed_at":"2026-08-12T06:09:19.193206Z","submitted_at":"2025-02-11T07:42:44Z","title":"Semantic to Structure: Learning Structural Representations for Infringement Detection","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-08T13:08:48.738397Z"},"links":{"cited_paper":"/paper/2406.04662","citing_paper":"/paper/2502.07323"},"observation_digest":"sha256:eeae5c9b13bad26cc15e2bf29f463a3a118fe8fe18781eaf59988b5415681119","observation_id":"86ff6f27-33bb-4ec7-b212-7df1e4b0ff2a","resolution":{"observed_at":"2026-08-08T13:08:48.738397Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.04662","last_updated":"2024-06-07T06:14:18Z","snapshot_observed_at":"2026-08-12T23:48:10.820378Z","submitted_at":"2024-06-07T06:14:18Z","title":"Evaluating and Mitigating IP Infringement in Visual Generative AI","version":1},"cited_work":{"arxiv_id":"2406.04662","doi":null,"metadata_source":"pith","pith_arxiv_id":"2406.04662","snapshot_observed_at":"2026-08-05T13:26:24.909308Z","title":"Evaluating and Mitigating IP Infringement in Visual Generative AI","venue":"cs.CV","work_id":"b094094b-5556-4197-9a6b-cb15821505f5","year":2024},"citing_paper":{"arxiv_id":"2509.00641","last_updated":"2025-08-31T00:00:03Z","snapshot_observed_at":"2026-08-12T13:10:11.183425Z","submitted_at":"2025-08-31T00:00:03Z","title":"AMCR: A Framework for Assessing and Mitigating Copyright Risks in Generative Models","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-05T13:26:24.530920Z"},"links":{"cited_paper":"/paper/2406.04662","citing_paper":"/paper/2509.00641"},"observation_digest":"sha256:90f488ac6496cb83bd0d9144b3ff9daaff28227f8910938400dc6ecfc287d409","observation_id":"e06be029-db6b-4643-ac24-fb026ba25d1a","resolution":{"observed_at":"2026-08-05T13:26:24.913145Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.04662","last_updated":"2024-06-07T06:14:18Z","snapshot_observed_at":"2026-08-12T23:48:10.820378Z","submitted_at":"2024-06-07T06:14:18Z","title":"Evaluating and Mitigating IP Infringement in Visual Generative AI","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.04662","snapshot_observed_at":"2026-08-03T11:22:14.336730Z","title":"Jia Deng, Wei Dong, Richard Socher, Li-Jia Li, Kai Li, and Li Fei-Fei","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2601.06891","last_updated":"2026-06-29T13:35:54Z","snapshot_observed_at":"2026-08-08T22:50:16.744784Z","submitted_at":"2026-01-11T12:31:55Z","title":"CLIMP: Contrastive Language-Image Mamba Pretraining","version":2},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-03T11:22:14.336730Z"},"links":{"cited_paper":"/paper/2406.04662","citing_paper":"/paper/2601.06891"},"observation_digest":"sha256:353e53742580c09eb92cf36c9ea2fb23868401f56117de909b749a0de07f61a0","observation_id":"9ea2be51-3414-41cf-ab7c-09e5f254b871","resolution":{"observed_at":"2026-08-03T11:22:14.336730Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2406.04662/citation-record","integrity":"/paper/2406.04662/integrity","json":"/paper/2406.04662/citation-record.json","paper":"/paper/2406.04662"},"outbound":[],"paper":{"arxiv_id":"2406.04662","last_updated":"2024-06-07T06:14:18Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-12T23:48:10.820378Z","submitted_at":"2024-06-07T06:14:18Z","title":"Evaluating and Mitigating IP Infringement in Visual Generative AI"},"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":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"thesis":"As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2406.04662."}