{"as_of":"2026-08-21T00:30:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:512ee49b82dd05074426724439d59c38a86643b26f82d10c67a83cdf080efe22","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":9,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":9,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-20T06:33:59.587034+00:00","state":"measured"},{"denominator":9,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":9,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-12T05:56:36.241566Z","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":"2026-05-13T06:27:24.382548Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2403.15098","last_updated":"2024-08-07T17:03:30Z","snapshot_observed_at":"2026-08-18T18:35:59.717134Z","submitted_at":"2024-03-22T10:36:50Z","title":"UniTraj: A Unified Framework for Scalable Vehicle Trajectory Prediction","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.15098","snapshot_observed_at":"2026-08-12T05:56:36.241566Z","title":"UniTraj: A Unified Framework for Scalable Vehicle Trajectory Prediction,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.19747","last_updated":"2024-11-29T14:47:08Z","snapshot_observed_at":"2026-08-19T04:05:52.753406Z","submitted_at":"2024-11-29T14:47:08Z","title":"A Multi-Loss Strategy for Vehicle Trajectory Prediction: Combining Off-Road, Diversity, and Directional Consistency Losses","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-12T05:56:36.241566Z"},"links":{"cited_paper":"/paper/2403.15098","citing_paper":"/paper/2411.19747"},"observation_digest":"sha256:f35b3533ddb91191b66a58bec11f09dc077616882b1543aee9bea8c56fc67d82","observation_id":"4685ecd6-fba1-489d-8b75-64f7cebe634e","resolution":{"observed_at":"2026-08-12T05:56:36.241566Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.15098","last_updated":"2024-08-07T17:03:30Z","snapshot_observed_at":"2026-08-18T18:35:59.717134Z","submitted_at":"2024-03-22T10:36:50Z","title":"UniTraj: A Unified Framework for Scalable Vehicle Trajectory Prediction","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.15098","snapshot_observed_at":"2026-08-12T05:27:21.947304Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2412.00420","last_updated":"2025-07-02T19:48:29Z","snapshot_observed_at":"2026-08-17T04:44:18.008717Z","submitted_at":"2024-11-30T10:19:51Z","title":"TAROT: Targeted Data Selection via Optimal Transport","version":2},"reference_index":2021,"source":"pdf_text","source_observed_at":"2026-08-12T05:27:21.947304Z"},"links":{"cited_paper":"/paper/2403.15098","citing_paper":"/paper/2412.00420"},"observation_digest":"sha256:70ed27b47486a7f007b228c6cb3282a12ea30903272fe429df8ac627f65f38bd","observation_id":"c9ffe080-0f3a-4803-8717-64f2ee6859d2","resolution":{"observed_at":"2026-08-12T05:27:21.947304Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.15098","last_updated":"2024-08-07T17:03:30Z","snapshot_observed_at":"2026-08-18T18:35:59.717134Z","submitted_at":"2024-03-22T10:36:50Z","title":"UniTraj: A Unified Framework for Scalable Vehicle Trajectory Prediction","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.15098","snapshot_observed_at":"2026-08-10T21:31:12.094659Z","title":"Unitraj: A unified framework for scalable vehicle trajectory prediction","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.04815","last_updated":"2025-01-08T20:11:09Z","snapshot_observed_at":"2026-08-19T04:21:40.830450Z","submitted_at":"2025-01-08T20:11:09Z","title":"Towards Generalizable Trajectory Prediction Using Dual-Level Representation Learning And Adaptive Prompting","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-10T21:31:12.094659Z"},"links":{"cited_paper":"/paper/2403.15098","citing_paper":"/paper/2501.04815"},"observation_digest":"sha256:335658883c2ffc8d552f880cb89ac244c660b35d85e11f8a80ab8a90f4764e1a","observation_id":"43ceb9fb-4373-4b1f-a15c-9b4eae03f020","resolution":{"observed_at":"2026-08-10T21:31:12.094659Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.15098","last_updated":"2024-08-07T17:03:30Z","snapshot_observed_at":"2026-08-18T18:35:59.717134Z","submitted_at":"2024-03-22T10:36:50Z","title":"UniTraj: A Unified Framework for Scalable Vehicle Trajectory Prediction","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.15098","snapshot_observed_at":"2026-08-07T11:27:02.021151Z","title":"”UniTraj: A Unified Framework for Scalable Vehicle Trajectory Prediction.” arXiv preprint arXiv:2403.15098, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.02554","last_updated":"2025-06-03T07:44:35Z","snapshot_observed_at":"2026-08-12T19:16:05.812794Z","submitted_at":"2025-06-03T07:44:35Z","title":"HiLO: High-Level Object Fusion for Autonomous Driving using Transformers","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-07T11:27:02.021151Z"},"links":{"cited_paper":"/paper/2403.15098","citing_paper":"/paper/2506.02554"},"observation_digest":"sha256:cf36886f3f8ad31dcebfa0b40412b92c5467bc5fcd9fa925331a79c0eb858aa2","observation_id":"07c51651-5fca-4b0a-8878-4d78bea52a12","resolution":{"observed_at":"2026-08-07T11:27:02.021151Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.15098","last_updated":"2024-08-07T17:03:30Z","snapshot_observed_at":"2026-08-18T18:35:59.717134Z","submitted_at":"2024-03-22T10:36:50Z","title":"UniTraj: A Unified Framework for Scalable Vehicle Trajectory Prediction","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.15098","snapshot_observed_at":"2026-08-07T05:45:19.229053Z","title":"arXiv preprint arXiv:2403.15098","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.07150","last_updated":"2025-06-08T13:54:46Z","snapshot_observed_at":"2026-08-17T03:50:56.663303Z","submitted_at":"2025-06-08T13:54:46Z","title":"Improving Traffic Signal Data Quality for the Waymo Open Motion Dataset","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-07T05:45:19.229053Z"},"links":{"cited_paper":"/paper/2403.15098","citing_paper":"/paper/2506.07150"},"observation_digest":"sha256:686bf6f8994d1811da9555367bc87fa262e2137c730f02126b82dee97434c385","observation_id":"3742e3f5-992c-4d1c-932c-2ad7c6df45a5","resolution":{"observed_at":"2026-08-07T05:45:19.229053Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.15098","last_updated":"2024-08-07T17:03:30Z","snapshot_observed_at":"2026-08-18T18:35:59.717134Z","submitted_at":"2024-03-22T10:36:50Z","title":"UniTraj: A Unified Framework for Scalable Vehicle Trajectory Prediction","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.15098","snapshot_observed_at":"2026-08-06T17:54:17.978275Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.09822","last_updated":"2025-07-22T23:25:21Z","snapshot_observed_at":"2026-08-19T11:09:25.954322Z","submitted_at":"2025-07-13T23:06:46Z","title":"Active Probing with Multimodal Predictions for Motion Planning","version":4},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-06T17:54:17.978275Z"},"links":{"cited_paper":"/paper/2403.15098","citing_paper":"/paper/2507.09822"},"observation_digest":"sha256:998e769e1ae9e5361c65207a22a035c5290ac5f5f6641056646cbb956680c7b1","observation_id":"0ce45541-3aed-4701-8a7c-431394252179","resolution":{"observed_at":"2026-08-06T17:54:17.978275Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.15098","last_updated":"2024-08-07T17:03:30Z","snapshot_observed_at":"2026-08-18T18:35:59.717134Z","submitted_at":"2024-03-22T10:36:50Z","title":"UniTraj: A Unified Framework for Scalable Vehicle Trajectory Prediction","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.15098","snapshot_observed_at":"2026-08-06T16:59:54.965901Z","title":"Unitraj: A unified framework for scalable vehi- cle trajectory prediction","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.12083","last_updated":"2025-07-16T09:46:17Z","snapshot_observed_at":"2026-08-13T19:46:30.841894Z","submitted_at":"2025-07-16T09:46:17Z","title":"Foresight in Motion: Reinforcing Trajectory Prediction with Reward Heuristics","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-06T16:59:54.965901Z"},"links":{"cited_paper":"/paper/2403.15098","citing_paper":"/paper/2507.12083"},"observation_digest":"sha256:1862fa81c20adf3ce2939fd398efd84aaed9199a617b8b8df89804dbddd70a59","observation_id":"250a1930-c351-4393-90a7-7843fe75acff","resolution":{"observed_at":"2026-08-06T16:59:54.965901Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.15098","last_updated":"2024-08-07T17:03:30Z","snapshot_observed_at":"2026-08-18T18:35:59.717134Z","submitted_at":"2024-03-22T10:36:50Z","title":"UniTraj: A Unified Framework for Scalable Vehicle Trajectory Prediction","version":3},"cited_work":{"arxiv_id":"2403.15098","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2403.15098","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Unitraj: A unified framework for scalable vehicle trajectory prediction","venue":null,"work_id":"eebdf1e8-e175-40bb-9c98-d18ac987f43e","year":2024},"citing_paper":{"arxiv_id":"2605.09171","last_updated":"2026-05-12T03:46:03Z","snapshot_observed_at":"2026-08-16T01:00:35.227216Z","submitted_at":"2026-05-09T21:15:28Z","title":"SHIELD: Scalable Optimal Control with Certification using Duality and Convexity","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-05-12T02:06:53.248218Z"},"links":{"cited_paper":"/paper/2403.15098","citing_paper":"/paper/2605.09171"},"observation_digest":"sha256:34518bdd65921e2b88923574e32f46c1d49b0e04784cac3512952f9f3c935eba","observation_id":"c5fa36c8-f86a-425d-ac0e-ad4c831ecc50","resolution":{"observed_at":"2026-05-12T02:11:16.289527Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2403.15098","last_updated":"2024-08-07T17:03:30Z","snapshot_observed_at":"2026-08-18T18:35:59.717134Z","submitted_at":"2024-03-22T10:36:50Z","title":"UniTraj: A Unified Framework for Scalable Vehicle Trajectory Prediction","version":3},"cited_work":{"arxiv_id":"2403.15098","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2403.15098","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Unitraj: A unified framework for scalable vehicle trajectory prediction","venue":null,"work_id":"eebdf1e8-e175-40bb-9c98-d18ac987f43e","year":2024},"citing_paper":{"arxiv_id":"2605.09171","last_updated":"2026-05-12T03:46:03Z","snapshot_observed_at":"2026-08-16T01:00:35.227216Z","submitted_at":"2026-05-09T21:15:28Z","title":"SHIELD: Scalable Optimal Control with Certification using Duality and Convexity","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-05-13T06:26:20.914150Z"},"links":{"cited_paper":"/paper/2403.15098","citing_paper":"/paper/2605.09171"},"observation_digest":"sha256:8ba698e6958c3cdd4f8250ec2a1def6381526cbe909db5d520b9cfbc28d6d9de","observation_id":"d0f3e653-b68c-4db7-9470-ec4ee1d50924","resolution":{"observed_at":"2026-05-13T06:27:24.384108Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2403.15098/citation-record","integrity":"/paper/2403.15098/integrity","json":"/paper/2403.15098/citation-record.json","paper":"/paper/2403.15098"},"outbound":[],"paper":{"arxiv_id":"2403.15098","last_updated":"2024-08-07T17:03:30Z","latest_version":3,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-18T18:35:59.717134Z","submitted_at":"2024-03-22T10:36:50Z","title":"UniTraj: A Unified Framework for Scalable 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":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"thesis":"As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2403.15098."}