{"as_of":"2026-08-19T09:11:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:15aae7e05fdcb1880686a58fd93fc48e35cfbe6f0715606da1aff35485a9bbd1","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":"2026-08-19T06:32:44.657259+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":"2026-08-12T10:13:13.473403Z","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":"2026-05-20T12:28:16.908254Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2305.15581","last_updated":"2023-12-23T23:43:13Z","snapshot_observed_at":"2026-08-19T06:54:42.205948Z","submitted_at":"2023-05-24T21:34:34Z","title":"Unsupervised Semantic Correspondence Using Stable Diffusion","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.15581","snapshot_observed_at":"2026-08-12T10:13:13.473403Z","title":"Masked au- toencoders are scalable vision learners","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2411.19458","last_updated":"2025-02-19T05:16:27Z","snapshot_observed_at":"2026-08-17T14:10:27.272698Z","submitted_at":"2024-11-29T04:02:11Z","title":"Multiview Equivariance Improves 3D Correspondence Understanding with Minimal Feature Finetuning","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-12T10:13:13.473403Z"},"links":{"cited_paper":"/paper/2305.15581","citing_paper":"/paper/2411.19458"},"observation_digest":"sha256:cd2693ff01c5d43ba31d9f4cfe0ca06a3ab2797ba03e092b7a1c3e5ed84344f6","observation_id":"3d1700c0-9bbf-47b1-8827-120f98e0ef94","resolution":{"observed_at":"2026-08-12T10:13:13.473403Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.15581","last_updated":"2023-12-23T23:43:13Z","snapshot_observed_at":"2026-08-19T06:54:42.205948Z","submitted_at":"2023-05-24T21:34:34Z","title":"Unsupervised Semantic Correspondence Using Stable Diffusion","version":2},"cited_work":{"arxiv_id":"2305.15581","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2305.15581","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"arXiv preprint arXiv:2305.15581 , year=","venue":null,"work_id":"c82999f0-4192-48fe-941f-f58af15bd38b","year":null},"citing_paper":{"arxiv_id":"2605.18010","last_updated":"2026-05-18T08:05:07Z","snapshot_observed_at":"2026-08-15T09:45:32.560178Z","submitted_at":"2026-05-18T08:05:07Z","title":"Functionalization via Structure Completion and Motion Rectification","version":1},"reference_index":172,"source":"arxiv_source","source_observed_at":"2026-05-20T12:25:07.157086Z"},"links":{"cited_paper":"/paper/2305.15581","citing_paper":"/paper/2605.18010"},"observation_digest":"sha256:512c2120c12ff968022665ce576304ac8f5eb6fdffa25ad50ee9ebe6abcd023e","observation_id":"68db97be-fee5-4124-947e-58241acfe8b5","resolution":{"observed_at":"2026-05-20T12:28:16.909804Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2305.15581/citation-record","integrity":"/paper/2305.15581/integrity","json":"/paper/2305.15581/citation-record.json","paper":"/paper/2305.15581"},"outbound":[],"paper":{"arxiv_id":"2305.15581","last_updated":"2023-12-23T23:43:13Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-19T06:54:42.205948Z","submitted_at":"2023-05-24T21:34:34Z","title":"Unsupervised Semantic Correspondence Using Stable Diffusion"},"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":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"thesis":"As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2305.15581."}