{"as_of":"2026-08-14T10:11:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:15b87419a9c9d50146ea157116b606e5b2baeef5ebd661c5a6c7bed5b6b5996a","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":3,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":3,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-14T06:32:32.682623+00:00","state":"measured"},{"denominator":3,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":3,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-12T18:32:48.763141Z","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":"2026-07-10T12:37:04.278163Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1906.04567","last_updated":"2019-06-10T12:35:01Z","snapshot_observed_at":"2026-08-12T07:09:59.461507Z","submitted_at":"2019-06-10T12:35:01Z","title":"CVPR19 Tracking and Detection Challenge: How crowded can it get?","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1906.04567","snapshot_observed_at":"2026-08-12T18:32:48.763141Z","title":"Cvpr19 tracking and detection challenge: How crowded can it get? arxiv 2019","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2411.11514","last_updated":"2025-09-03T05:04:14Z","snapshot_observed_at":"2026-08-13T22:24:21.779168Z","submitted_at":"2024-11-18T12:22:29Z","title":"Learning a Neural Association Network for Self-supervised Multi-Object Tracking","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-12T18:32:48.763141Z"},"links":{"cited_paper":"/paper/1906.04567","citing_paper":"/paper/2411.11514"},"observation_digest":"sha256:95cb6e19ff0f0d885b655660b1fc930f3bdc35e66c4f1482abdd200525c0adf1","observation_id":"ca9c1536-82af-4844-a575-ae41d92e793f","resolution":{"observed_at":"2026-08-12T18:32:48.763141Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1906.04567","last_updated":"2019-06-10T12:35:01Z","snapshot_observed_at":"2026-08-12T07:09:59.461507Z","submitted_at":"2019-06-10T12:35:01Z","title":"CVPR19 Tracking and Detection Challenge: How crowded can it get?","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1906.04567","snapshot_observed_at":"2026-08-12T17:04:42.813436Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2411.12943","last_updated":"2024-11-20T00:27:01Z","snapshot_observed_at":"2026-08-14T02:05:42.299443Z","submitted_at":"2024-11-20T00:27:01Z","title":"Enhancing Thermal MOT: A Novel Box Association Method Leveraging Thermal Identity and Motion Similarity","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-12T17:04:42.813436Z"},"links":{"cited_paper":"/paper/1906.04567","citing_paper":"/paper/2411.12943"},"observation_digest":"sha256:fba853e20a88753c1faab6f9929d8067943bd610357fb9760ecf7e873f6e31db","observation_id":"2d73213f-8b30-4e0c-813a-34ae1757f5b8","resolution":{"observed_at":"2026-08-12T17:04:42.813436Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1906.04567","last_updated":"2019-06-10T12:35:01Z","snapshot_observed_at":"2026-08-12T07:09:59.461507Z","submitted_at":"2019-06-10T12:35:01Z","title":"CVPR19 Tracking and Detection Challenge: How crowded can it get?","version":1},"cited_work":{"arxiv_id":"1906.04567","doi":null,"metadata_source":"pith","pith_arxiv_id":"1906.04567","snapshot_observed_at":"2026-07-10T12:37:04.278163Z","title":"CVPR19 Tracking and Detection Challenge: How crowded can it get?","venue":"cs.CV","work_id":"a886a71b-1aeb-442c-9797-1d4eeefc777b","year":2019},"citing_paper":{"arxiv_id":"2607.08136","last_updated":"2026-07-09T06:18:35Z","snapshot_observed_at":"2026-08-04T16:00:00.863627Z","submitted_at":"2026-07-09T06:18:35Z","title":"Answer Set Programming Energised! End-to-End Neurosymbolic Reasoning and Learning with ASP and Energy Based Models","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-07-10T12:31:45.106723Z"},"links":{"cited_paper":"/paper/1906.04567","citing_paper":"/paper/2607.08136"},"observation_digest":"sha256:fbbd40068cc064720e0de739bbcdb45753e5166efd2553712265a7a4628ecc7a","observation_id":"4886e16d-59a0-4c41-afa9-8076088568cc","resolution":{"observed_at":"2026-07-10T12:37:04.280535Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/1906.04567/citation-record","integrity":"/paper/1906.04567/integrity","json":"/paper/1906.04567/citation-record.json","paper":"/paper/1906.04567"},"outbound":[],"paper":{"arxiv_id":"1906.04567","last_updated":"2019-06-10T12:35:01Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-12T07:09:59.461507Z","submitted_at":"2019-06-10T12:35:01Z","title":"CVPR19 Tracking and Detection Challenge: How crowded can it get?"},"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":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"thesis":"As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1906.04567."}