{"as_of":"2026-08-09T23:11:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:c760ae78cf23c5750017fbff2d4657035769daa939c1c060ee2cf304708cebc8","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":1,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":1,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T15:33:08.965378Z","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":"2026-08-07T15:33:13.502180Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2311.18537","last_updated":"2024-06-12T08:20:59Z","snapshot_observed_at":"2026-08-09T12:52:34.731329Z","submitted_at":"2023-11-30T13:20:09Z","title":"A Simple Video Segmenter by Tracking Objects Along Axial Trajectories","version":2},"cited_work":{"arxiv_id":"2311.18537","doi":null,"metadata_source":"pith","pith_arxiv_id":"2311.18537","snapshot_observed_at":"2026-08-07T15:33:13.502180Z","title":"A Simple Video Segmenter by Tracking Objects Along Axial Trajectories","venue":"cs.CV","work_id":"809b4222-632f-4321-a502-ca36cb5bc239","year":2023},"citing_paper":{"arxiv_id":"2505.14687","last_updated":"2025-05-20T17:59:59Z","snapshot_observed_at":"2026-08-08T00:07:41.253312Z","submitted_at":"2025-05-20T17:59:59Z","title":"Grouping First, Attending Smartly: Training-Free Acceleration for Diffusion Transformers","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-07T15:33:08.965378Z"},"links":{"cited_paper":"/paper/2311.18537","citing_paper":"/paper/2505.14687"},"observation_digest":"sha256:148a0e9dd431ed81c831371983402c8c37f2f0429f86df33d89d4c32429517fe","observation_id":"0eea724e-96ed-45c3-81e6-87c7c20ea960","resolution":{"observed_at":"2026-08-07T15:33:13.584587Z","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/2311.18537/citation-record","integrity":"/paper/2311.18537/integrity","json":"/paper/2311.18537/citation-record.json","paper":"/paper/2311.18537"},"outbound":[],"paper":{"arxiv_id":"2311.18537","last_updated":"2024-06-12T08:20:59Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-09T12:52:34.731329Z","submitted_at":"2023-11-30T13:20:09Z","title":"A Simple Video Segmenter by Tracking Objects Along Axial Trajectories"},"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 1 inbound Pith citation observation for arXiv:2311.18537."}