{"as_of":"2026-08-15T22:50:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:446461d21d83bc851f5a70a15573294cf1d749c5bc7c331906f78b4a97d692a8","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":5,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":5,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-15T06:32:42.880941+00:00","state":"measured"},{"denominator":5,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":5,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-10T21:31:12.037062Z","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":"2026-07-11T03:27:45.566602Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2309.15289","last_updated":"2023-12-19T14:14:22Z","snapshot_observed_at":"2026-08-13T10:04:20.025481Z","submitted_at":"2023-09-26T21:56:03Z","title":"SEPT: Towards Efficient Scene Representation Learning for Motion Prediction","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.15289","snapshot_observed_at":"2026-08-10T21:31:12.037062Z","title":"Sept: Towards efficient scene representation learning for motion prediction","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.04815","last_updated":"2025-01-08T20:11:09Z","snapshot_observed_at":"2026-08-14T18:54:32.433166Z","submitted_at":"2025-01-08T20:11:09Z","title":"Towards Generalizable Trajectory Prediction Using Dual-Level Representation Learning And Adaptive Prompting","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-10T21:31:12.037062Z"},"links":{"cited_paper":"/paper/2309.15289","citing_paper":"/paper/2501.04815"},"observation_digest":"sha256:51c2bc5a74f26e2af63aa4cec1f9364dfb8e811cd947d0f562abcac5a4e3da78","observation_id":"40789518-260b-427e-8d2f-7ff97f0d7613","resolution":{"observed_at":"2026-08-10T21:31:12.037062Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2309.15289","last_updated":"2023-12-19T14:14:22Z","snapshot_observed_at":"2026-08-13T10:04:20.025481Z","submitted_at":"2023-09-26T21:56:03Z","title":"SEPT: Towards Efficient Scene Representation Learning for Motion Prediction","version":4},"cited_work":{"arxiv_id":"2309.15289","doi":null,"metadata_source":"pith","pith_arxiv_id":"2309.15289","snapshot_observed_at":"2026-07-11T03:27:45.566602Z","title":"arXiv preprint arXiv:2309.15289 (2023)","venue":"cs.CV","work_id":"136763ae-1c2d-4b0e-acb7-48bc8a69c426","year":2023},"citing_paper":{"arxiv_id":"2503.03262","last_updated":"2025-09-20T17:44:10Z","snapshot_observed_at":"2026-08-13T03:39:53.744860Z","submitted_at":"2025-03-05T08:38:51Z","title":"Trajectory Prediction for Autonomous Driving: Progress, Limitations, and Future Directions","version":3},"reference_index":203,"source":"pdf_text","source_observed_at":"2026-05-23T01:37:26.696464Z"},"links":{"cited_paper":"/paper/2309.15289","citing_paper":"/paper/2503.03262"},"observation_digest":"sha256:d2d46ca76aa1e8607c0b0c46234bc6c085138d5bbcd6e8bc8a47820a6c4fb509","observation_id":"6492b2ae-ad8c-4a1c-af2b-367e1570fc96","resolution":{"observed_at":"2026-05-23T01:42:23.380720Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2309.15289","last_updated":"2023-12-19T14:14:22Z","snapshot_observed_at":"2026-08-13T10:04:20.025481Z","submitted_at":"2023-09-26T21:56:03Z","title":"SEPT: Towards Efficient Scene Representation Learning for Motion Prediction","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.15289","snapshot_observed_at":"2026-08-06T22:40:12.191325Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.21121","last_updated":"2025-06-26T09:46:53Z","snapshot_observed_at":"2026-08-13T14:24:44.965088Z","submitted_at":"2025-06-26T09:46:53Z","title":"GoIRL: Graph-Oriented Inverse Reinforcement Learning for Multimodal Trajectory Prediction","version":1},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-08-06T22:40:12.191325Z"},"links":{"cited_paper":"/paper/2309.15289","citing_paper":"/paper/2506.21121"},"observation_digest":"sha256:f10af73b7882e66af26a69db534f43d6d2d7f69f5b5b6883d44fc2db89c5337f","observation_id":"e7571dc8-fa5e-48cb-b5b1-021513b5c070","resolution":{"observed_at":"2026-08-06T22:40:12.191325Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2309.15289","last_updated":"2023-12-19T14:14:22Z","snapshot_observed_at":"2026-08-13T10:04:20.025481Z","submitted_at":"2023-09-26T21:56:03Z","title":"SEPT: Towards Efficient Scene Representation Learning for Motion Prediction","version":4},"cited_work":{"arxiv_id":"2309.15289","doi":null,"metadata_source":"pith","pith_arxiv_id":"2309.15289","snapshot_observed_at":"2026-07-11T03:27:45.566602Z","title":"arXiv preprint arXiv:2309.15289 (2023)","venue":"cs.CV","work_id":"136763ae-1c2d-4b0e-acb7-48bc8a69c426","year":2023},"citing_paper":{"arxiv_id":"2603.24155","last_updated":"2026-04-07T08:33:33Z","snapshot_observed_at":"2026-08-14T02:14:15.853024Z","submitted_at":"2026-03-25T10:24:16Z","title":"Goal-Oriented Reactive Simulation for Closed-Loop Trajectory Prediction","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-05-15T00:55:01.446865Z"},"links":{"cited_paper":"/paper/2309.15289","citing_paper":"/paper/2603.24155"},"observation_digest":"sha256:c3cf18db0f7a41eb6eb19ccb5d05de5a778a984234eacd16c70f010defd705bc","observation_id":"a281f951-9835-44ce-b30a-6225b896cfc9","resolution":{"observed_at":"2026-05-15T00:58:26.201653Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2309.15289","last_updated":"2023-12-19T14:14:22Z","snapshot_observed_at":"2026-08-13T10:04:20.025481Z","submitted_at":"2023-09-26T21:56:03Z","title":"SEPT: Towards Efficient Scene Representation Learning for Motion Prediction","version":4},"cited_work":{"arxiv_id":"2309.15289","doi":null,"metadata_source":"pith","pith_arxiv_id":"2309.15289","snapshot_observed_at":"2026-07-11T03:27:45.566602Z","title":"arXiv preprint arXiv:2309.15289 (2023)","venue":"cs.CV","work_id":"136763ae-1c2d-4b0e-acb7-48bc8a69c426","year":2023},"citing_paper":{"arxiv_id":"2607.05705","last_updated":"2026-07-06T23:59:19Z","snapshot_observed_at":"2026-08-08T09:27:29.903530Z","submitted_at":"2026-07-06T23:59:19Z","title":"IMR: Iterative Mode-World Weighted Regression for Multi-Agent Trajectory Prediction","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-07-11T03:25:55.830270Z"},"links":{"cited_paper":"/paper/2309.15289","citing_paper":"/paper/2607.05705"},"observation_digest":"sha256:aff2cd3b96776a948c8e2ff21564d19c2b5a4bc94c1812a3dbbbb4f594b49599","observation_id":"c7527d8b-caa3-4110-a8bf-4082e7ff4af7","resolution":{"observed_at":"2026-07-11T03:27:45.585522Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2309.15289/citation-record","integrity":"/paper/2309.15289/integrity","json":"/paper/2309.15289/citation-record.json","paper":"/paper/2309.15289"},"outbound":[],"paper":{"arxiv_id":"2309.15289","last_updated":"2023-12-19T14:14:22Z","latest_version":4,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-13T10:04:20.025481Z","submitted_at":"2023-09-26T21:56:03Z","title":"SEPT: Towards Efficient Scene Representation Learning for Motion 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":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"thesis":"As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2309.15289."}