{"as_of":"2026-08-09T16:22:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:1b30482a2275b8c0376e2703c9818a9ec0d3ce31012722004046777823a46004","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":"2026-08-09T06:31:02.800959+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":"2026-08-07T19:57:51.221221Z","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":"2026-08-06T17:03:56.447378Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2312.01529","last_updated":"2025-02-25T07:04:54Z","snapshot_observed_at":"2026-07-06T16:56:17.485547Z","submitted_at":"2023-12-03T23:03:22Z","title":"T3D: Advancing 3D Medical Vision-Language Pre-training by Learning Multi-View Visual Consistency","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.01529","snapshot_observed_at":"2026-08-07T19:57:51.221221Z","title":"C.; Ma, L.; Fu, J.; Guo, Y.; Shah, A.; Bai, W.; and Arcucci, R","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.09971","last_updated":"2025-02-14T07:56:21Z","snapshot_observed_at":"2026-08-07T19:49:39.460784Z","submitted_at":"2025-02-14T07:56:21Z","title":"Conditional Latent Coding with Learnable Synthesized Reference for Deep Image Compression","version":1},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-08-07T19:57:51.221221Z"},"links":{"cited_paper":"/paper/2312.01529","citing_paper":"/paper/2502.09971"},"observation_digest":"sha256:bcafc54429288860a1b0b049a4b7493c06681adc27dc6ffda6fc3a357ae548a4","observation_id":"7bf651ee-34d8-4fc7-b616-737ceda83d27","resolution":{"observed_at":"2026-08-07T19:57:51.221221Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2312.01529","last_updated":"2025-02-25T07:04:54Z","snapshot_observed_at":"2026-07-06T16:56:17.485547Z","submitted_at":"2023-12-03T23:03:22Z","title":"T3D: Advancing 3D Medical Vision-Language Pre-training by Learning Multi-View Visual Consistency","version":3},"cited_work":{"arxiv_id":"2312.01529","doi":null,"metadata_source":"pith","pith_arxiv_id":"2312.01529","snapshot_observed_at":"2026-08-06T17:03:56.447378Z","title":"T3D: Advancing 3D Medical Vision-Language Pre-training by Learning Multi-View Visual Consistency","venue":"cs.CV","work_id":"1529304b-f8b9-41c6-983e-fae62b235114","year":2023},"citing_paper":{"arxiv_id":"2507.12008","last_updated":"2025-07-16T08:05:22Z","snapshot_observed_at":"2026-08-08T21:56:34.022833Z","submitted_at":"2025-07-16T08:05:22Z","title":"Dual form Complementary Masking for Domain-Adaptive Image Segmentation","version":1},"reference_index":51,"source":"arxiv_source","source_observed_at":"2026-08-06T17:03:51.670918Z"},"links":{"cited_paper":"/paper/2312.01529","citing_paper":"/paper/2507.12008"},"observation_digest":"sha256:114a4f8e7a7d0fc6368c3f903557686b699982b97a14a30a52237a91de4ba636","observation_id":"e8fea2bf-4370-4f84-9bae-d63243418bd5","resolution":{"observed_at":"2026-08-06T17:03:56.552909Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2312.01529/citation-record","integrity":"/paper/2312.01529/integrity","json":"/paper/2312.01529/citation-record.json","paper":"/paper/2312.01529"},"outbound":[],"paper":{"arxiv_id":"2312.01529","last_updated":"2025-02-25T07:04:54Z","latest_version":3,"primary_category":"cs.CV","snapshot_observed_at":"2026-07-06T16:56:17.485547Z","submitted_at":"2023-12-03T23:03:22Z","title":"T3D: Advancing 3D Medical Vision-Language Pre-training by Learning Multi-View Visual Consistency"},"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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2312.01529."}