{"as_of":"2026-08-10T07:36:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:b6690087582f433e44abf9e6de23de69e622ee7ec32e277d53434fd9912af87a","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":"2026-08-10T06:31:04.303077+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":"2026-08-07T05:49:53.440763Z","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":"2026-05-23T22:23:31.221244Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2312.12273","last_updated":"2023-12-19T15:56:08Z","snapshot_observed_at":"2026-07-06T17:05:22.992895Z","submitted_at":"2023-12-19T15:56:08Z","title":"VQA4CIR: Boosting Composed Image Retrieval with Visual Question Answering","version":1},"cited_work":{"arxiv_id":"2312.12273","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2312.12273","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"8fa46b5d-b1e5-440c-bfe7-7183df837481","year":2023},"citing_paper":{"arxiv_id":"2408.09847","last_updated":"2024-09-24T13:11:43Z","snapshot_observed_at":"2026-08-01T16:41:40.319711Z","submitted_at":"2024-08-19T09:50:20Z","title":"Fashion Image-to-Image Translation for Complementary Item Retrieval","version":3},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-05-23T22:22:47.889637Z"},"links":{"cited_paper":"/paper/2312.12273","citing_paper":"/paper/2408.09847"},"observation_digest":"sha256:4b0bda025ce5cbef2b06b52bb9ce8483d55db24aedb0f0becbd891a82141bf72","observation_id":"f4f5768a-8b27-457a-a64a-0a18b7bcd07b","resolution":{"observed_at":"2026-05-23T22:23:31.223870Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2312.12273","last_updated":"2023-12-19T15:56:08Z","snapshot_observed_at":"2026-07-06T17:05:22.992895Z","submitted_at":"2023-12-19T15:56:08Z","title":"VQA4CIR: Boosting Composed Image Retrieval with Visual Question Answering","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.12273","snapshot_observed_at":"2026-08-07T05:49:53.440763Z","title":"Vqa4cir: Boosting composed image retrieval with visual question answering","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.07016","last_updated":"2025-06-13T19:05:47Z","snapshot_observed_at":"2026-08-08T12:14:39.714543Z","submitted_at":"2025-06-08T06:34:29Z","title":"MAGNET: A Multi-agent Framework for Finding Audio-Visual Needles by Reasoning over Multi-Video Haystacks","version":2},"reference_index":71,"source":"pdf_text","source_observed_at":"2026-08-07T05:49:53.440763Z"},"links":{"cited_paper":"/paper/2312.12273","citing_paper":"/paper/2506.07016"},"observation_digest":"sha256:508f9d39588c2fc62b2738c828f5eb207788f2bd13eb97ed1da3e468a9fdd5b7","observation_id":"7e026fbc-b4f4-4fb3-806c-4d987713efd9","resolution":{"observed_at":"2026-08-07T05:49:53.440763Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2312.12273/citation-record","integrity":"/paper/2312.12273/integrity","json":"/paper/2312.12273/citation-record.json","paper":"/paper/2312.12273"},"outbound":[],"paper":{"arxiv_id":"2312.12273","last_updated":"2023-12-19T15:56:08Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-07-06T17:05:22.992895Z","submitted_at":"2023-12-19T15:56:08Z","title":"VQA4CIR: Boosting Composed Image Retrieval with Visual Question Answering"},"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":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2312.12273."}