{"as_of":"2026-08-17T03:21:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:f21d8bf8eb459f61f8550609ef7f53c729353c01dcf2fa6b775905cd886f7ece","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":"2026-08-16T06:30:59.297886+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":"2026-08-07T00:54:09.676059Z","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":"2026-08-07T00:54:10.484791Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2309.15284","last_updated":"2024-03-21T04:36:22Z","snapshot_observed_at":"2026-08-16T20:21:23.366796Z","submitted_at":"2023-09-26T21:41:45Z","title":"A Physics Enhanced Residual Learning (PERL) Framework for Vehicle Trajectory Prediction","version":2},"cited_work":{"arxiv_id":"2309.15284","doi":null,"metadata_source":"pith","pith_arxiv_id":"2309.15284","snapshot_observed_at":"2026-08-07T00:54:10.484791Z","title":"A Physics Enhanced Residual Learning (PERL) Framework for Vehicle Trajectory Prediction","venue":"cs.LG","work_id":"cb2310c5-9412-417b-92d3-62698e64fe20","year":2023},"citing_paper":{"arxiv_id":"2608.04393","last_updated":"2026-08-05T02:54:34Z","snapshot_observed_at":"2026-08-16T14:29:02.646989Z","submitted_at":"2026-08-05T02:54:34Z","title":"When Proxy Prediction Becomes Equation Reconstruction: Diagnostics and Residual Learning for Factor-Derived Proxy Supervision","version":1},"reference_index":36,"source":"arxiv_source","source_observed_at":"2026-08-07T00:54:09.676059Z"},"links":{"cited_paper":"/paper/2309.15284","citing_paper":"/paper/2608.04393"},"observation_digest":"sha256:504435487c7d841952656a4bed4d4f2313041ab1502bcd55d98f6706c558a7cf","observation_id":"3c64b844-aa52-46c0-bdc4-a031f4c49de3","resolution":{"observed_at":"2026-08-07T00:54:10.600324Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2309.15284/citation-record","integrity":"/paper/2309.15284/integrity","json":"/paper/2309.15284/citation-record.json","paper":"/paper/2309.15284"},"outbound":[],"paper":{"arxiv_id":"2309.15284","last_updated":"2024-03-21T04:36:22Z","latest_version":2,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-16T20:21:23.366796Z","submitted_at":"2023-09-26T21:41:45Z","title":"A Physics Enhanced Residual Learning (PERL) Framework for Vehicle Trajectory Prediction"},"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":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"thesis":"As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2309.15284."}