{"as_of":"2026-08-09T19:31:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:e9853f3abedbe0cd52c2dc721a60e747453cd05e7683afb05806cd30eec79f2f","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":"2026-08-05T23:01:00.108557Z","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":"2026-05-19T07:37:08.789052Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2401.12217","last_updated":"2024-01-22T18:59:29Z","snapshot_observed_at":"2026-08-09T05:00:53.677485Z","submitted_at":"2024-01-22T18:59:29Z","title":"Exploring Simple Open-Vocabulary Semantic Segmentation","version":1},"cited_work":{"arxiv_id":"2401.12217","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2401.12217","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Available: https://arxiv.org/abs/2401.12217","venue":null,"work_id":"b2245870-93b6-4bff-888e-ec802f71afe2","year":null},"citing_paper":{"arxiv_id":"2506.23323","last_updated":"2026-04-29T03:47:47Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-06-29T16:41:41Z","title":"FA-Seg: A Fast and Accurate Diffusion-Based Method for Open-Vocabulary Segmentation","version":6},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-05-19T07:36:10.528195Z"},"links":{"cited_paper":"/paper/2401.12217","citing_paper":"/paper/2506.23323"},"observation_digest":"sha256:7d90ea0731a9022e8ae759a72e79d79fee23fb6a6923c12b531490120d6bd8f9","observation_id":"2b8d6b9b-e996-419f-a198-aa5a44835323","resolution":{"observed_at":"2026-05-19T07:37:08.790954Z","resolver_source":"arxiv_id","status":"verified_exact"},"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"}},{"citation":{"cited_paper":{"arxiv_id":"2401.12217","last_updated":"2024-01-22T18:59:29Z","snapshot_observed_at":"2026-08-09T05:00:53.677485Z","submitted_at":"2024-01-22T18:59:29Z","title":"Exploring Simple Open-Vocabulary Semantic Segmentation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.12217","snapshot_observed_at":"2026-08-05T23:01:00.108557Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.06115","last_updated":"2026-06-26T04:26:44Z","snapshot_observed_at":"2026-08-09T05:01:22.876718Z","submitted_at":"2025-08-08T08:26:41Z","title":"SynSeg: Feature Synergy for Multi-Category Contrastive Learning in End-to-End Open-Vocabulary Semantic Segmentation","version":3},"reference_index":2016,"source":"pdf_text","source_observed_at":"2026-08-05T23:01:00.108557Z"},"links":{"cited_paper":"/paper/2401.12217","citing_paper":"/paper/2508.06115"},"observation_digest":"sha256:7f355c3151ecf13247e2edbe57c18673883eaa803b10d5a42126f1a6ea44a4d5","observation_id":"4226ce3c-a617-4c06-b7a4-cdb0e98e0a0f","resolution":{"observed_at":"2026-08-05T23:01:00.108557Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2401.12217/citation-record","integrity":"/paper/2401.12217/integrity","json":"/paper/2401.12217/citation-record.json","paper":"/paper/2401.12217"},"outbound":[],"paper":{"arxiv_id":"2401.12217","last_updated":"2024-01-22T18:59:29Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-09T05:00:53.677485Z","submitted_at":"2024-01-22T18:59:29Z","title":"Exploring Simple Open-Vocabulary Semantic Segmentation"},"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:2401.12217."}