{"as_of":"2026-08-09T19:02:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:f034ae756b524a30e6290cad9fd15f2610b0f39074da7781006fb9bb39547c04","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":4,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":4,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":4,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":4,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T05:04:04.354061Z","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":"2026-05-10T09:18:32.368604Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2008.08294","last_updated":"2020-08-21T07:33:10Z","snapshot_observed_at":"2026-08-09T00:22:20.728530Z","submitted_at":"2020-08-19T06:52:46Z","title":"TNT: Target-driveN Trajectory Prediction","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2008.08294","snapshot_observed_at":"2026-08-07T05:03:00.129822Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2506.08957","last_updated":"2025-06-10T16:27:42Z","snapshot_observed_at":"2026-08-09T00:22:49.990493Z","submitted_at":"2025-06-10T16:27:42Z","title":"IntTrajSim: Trajectory Prediction for Simulating Multi-Vehicle driving at Signalized Intersections","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-07T05:03:00.129822Z"},"links":{"cited_paper":"/paper/2008.08294","citing_paper":"/paper/2506.08957"},"observation_digest":"sha256:594fb4454fa6c652b185b8467cc1d120e7b55d67cead3e27d5baa2ea264342a3","observation_id":"d8f7bd27-653c-49df-8136-4fb92c940b0e","resolution":{"observed_at":"2026-08-07T05:03:00.129822Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2008.08294","last_updated":"2020-08-21T07:33:10Z","snapshot_observed_at":"2026-08-09T00:22:20.728530Z","submitted_at":"2020-08-19T06:52:46Z","title":"TNT: Target-driveN Trajectory Prediction","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2008.08294","snapshot_observed_at":"2026-08-07T05:04:04.354061Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2506.08963","last_updated":"2025-06-10T16:36:42Z","snapshot_observed_at":"2026-08-09T00:23:17.425152Z","submitted_at":"2025-06-10T16:36:42Z","title":"Evaluating Generative Vehicle Trajectory Models for Traffic Intersection Dynamics","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-07T05:04:04.354061Z"},"links":{"cited_paper":"/paper/2008.08294","citing_paper":"/paper/2506.08963"},"observation_digest":"sha256:2562a585a8f4f1716cb2de3a581b8ad438deac5f828e0688633fe1e626a7dabe","observation_id":"1209f8a6-8999-4e3d-a08b-5f87d9cee973","resolution":{"observed_at":"2026-08-07T05:04:04.354061Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2008.08294","last_updated":"2020-08-21T07:33:10Z","snapshot_observed_at":"2026-08-09T00:22:20.728530Z","submitted_at":"2020-08-19T06:52:46Z","title":"TNT: Target-driveN Trajectory Prediction","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2008.08294","snapshot_observed_at":"2026-08-06T23:49:13.523673Z","title":"Tnt: Target-driven trajectory prediction,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2506.16336","last_updated":"2025-06-19T14:14:55Z","snapshot_observed_at":"2026-08-08T07:57:08.740974Z","submitted_at":"2025-06-19T14:14:55Z","title":"Goal-conditioned Hierarchical Reinforcement Learning for Sample-efficient and Safe Autonomous Driving at Intersections","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-06T23:49:13.523673Z"},"links":{"cited_paper":"/paper/2008.08294","citing_paper":"/paper/2506.16336"},"observation_digest":"sha256:c3a49f1f9f44933d43e1e9b1e3be618e0e7055ec761cb19793250419dd2461f9","observation_id":"42429821-ae29-4de1-b089-6cf453b50753","resolution":{"observed_at":"2026-08-06T23:49:13.523673Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2008.08294","last_updated":"2020-08-21T07:33:10Z","snapshot_observed_at":"2026-08-09T00:22:20.728530Z","submitted_at":"2020-08-19T06:52:46Z","title":"TNT: Target-driveN Trajectory Prediction","version":2},"cited_work":{"arxiv_id":"2008.08294","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2008.08294","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Tnt: Target-driven trajectory prediction","venue":null,"work_id":"d1ab8e17-278d-49da-8e72-398b8f567892","year":2008},"citing_paper":{"arxiv_id":"2604.16783","last_updated":"2026-04-18T02:13:02Z","snapshot_observed_at":"2026-07-06T23:04:01.558812Z","submitted_at":"2026-04-18T02:13:02Z","title":"EdgeVTP: Exploration of Latency-efficient Trajectory Prediction for Edge-based Embedded Vision Applications","version":1},"reference_index":80,"source":"pdf_text","source_observed_at":"2026-05-10T07:53:01.735375Z"},"links":{"cited_paper":"/paper/2008.08294","citing_paper":"/paper/2604.16783"},"observation_digest":"sha256:a9ab399262fc4f4521b7432d9efb549f6328237be9f2d51282f965deb4e2e715","observation_id":"b0e56f0f-7fd1-4e66-8763-b9935ee309dd","resolution":{"observed_at":"2026-05-10T09:18:32.371328Z","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"}}],"links":{"evidence":"/evidence","html":"/paper/2008.08294/citation-record","integrity":"/paper/2008.08294/integrity","json":"/paper/2008.08294/citation-record.json","paper":"/paper/2008.08294"},"outbound":[],"paper":{"arxiv_id":"2008.08294","last_updated":"2020-08-21T07:33:10Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-09T00:22:20.728530Z","submitted_at":"2020-08-19T06:52:46Z","title":"TNT: Target-driveN 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":"2026-08-09T06:31:02.800959+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 4 inbound Pith citation observations for arXiv:2008.08294."}