{"as_of":"2026-08-09T20:24:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:e9984cfead0915863ce2b905e1c88b19d8315d3a121448f237848c468fba6ebd","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":6,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":6,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":6,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":6,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-08T18:26:50.365882Z","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":"2026-05-14T21:46:44.168416Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2412.05334","last_updated":"2025-03-14T09:11:40Z","snapshot_observed_at":"2026-07-06T20:03:02.297824Z","submitted_at":"2024-12-05T21:00:21Z","title":"Closed-Loop Supervised Fine-Tuning of Tokenized Traffic Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.05334","snapshot_observed_at":"2026-08-08T18:26:50.365882Z","title":"Closed-loop supervised fine-tuning of tokenized traffic models,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.05677","last_updated":"2025-02-08T19:57:16Z","snapshot_observed_at":"2026-08-09T09:15:53.825705Z","submitted_at":"2025-02-08T19:57:16Z","title":"Surprise Potential as a Measure of Interactivity in Driving Scenarios","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-08T18:26:50.365882Z"},"links":{"cited_paper":"/paper/2412.05334","citing_paper":"/paper/2502.05677"},"observation_digest":"sha256:fc6b2c31f289cb3c3ad86efa5fb7730c26411bff9ffed31b696b08729090cfc5","observation_id":"5c276bf2-04ca-4f40-ae3c-1a6b43941ab4","resolution":{"observed_at":"2026-08-08T18:26:50.365882Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.05334","last_updated":"2025-03-14T09:11:40Z","snapshot_observed_at":"2026-07-06T20:03:02.297824Z","submitted_at":"2024-12-05T21:00:21Z","title":"Closed-Loop Supervised Fine-Tuning of Tokenized Traffic Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.05334","snapshot_observed_at":"2026-08-07T05:45:19.946611Z","title":"arXiv preprint arXiv:2412.05334","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.07150","last_updated":"2025-06-08T13:54:46Z","snapshot_observed_at":"2026-08-07T05:38:39.082997Z","submitted_at":"2025-06-08T13:54:46Z","title":"Improving Traffic Signal Data Quality for the Waymo Open Motion Dataset","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-07T05:45:19.946611Z"},"links":{"cited_paper":"/paper/2412.05334","citing_paper":"/paper/2506.07150"},"observation_digest":"sha256:e70cfe0dbb10a101bb1454508848547ee1753115ef099eaaa12a1a0b83ff96a5","observation_id":"e63a2b69-2e9b-4a18-8f80-91b4a96d8448","resolution":{"observed_at":"2026-08-07T05:45:19.946611Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.05334","last_updated":"2025-03-14T09:11:40Z","snapshot_observed_at":"2026-07-06T20:03:02.297824Z","submitted_at":"2024-12-05T21:00:21Z","title":"Closed-Loop Supervised Fine-Tuning of Tokenized Traffic Models","version":2},"cited_work":{"arxiv_id":"2412.05334","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2412.05334","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Closed-loop supervised fine-tuning of tokenized traffic models","venue":null,"work_id":"8f3192ab-222f-46c5-8bf4-a5bcf33d2eb6","year":2024},"citing_paper":{"arxiv_id":"2506.13757","last_updated":"2025-11-05T23:46:20Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-06-16T17:58:50Z","title":"AutoVLA: A Vision-Language-Action Model for End-to-End Autonomous Driving with Adaptive Reasoning and Reinforcement Fine-Tuning","version":3},"reference_index":88,"source":"pdf_text","source_observed_at":"2026-05-14T21:46:43.955825Z"},"links":{"cited_paper":"/paper/2412.05334","citing_paper":"/paper/2506.13757"},"observation_digest":"sha256:b6ecb1beed87ba8cbf178a0589864cd687ec1aa3bc22132fdaf92f2eb387998d","observation_id":"78e1d8ad-a17c-4acc-9f0d-093081f97b2c","resolution":{"observed_at":"2026-05-14T21:46:44.170511Z","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"}},{"citation":{"cited_paper":{"arxiv_id":"2412.05334","last_updated":"2025-03-14T09:11:40Z","snapshot_observed_at":"2026-07-06T20:03:02.297824Z","submitted_at":"2024-12-05T21:00:21Z","title":"Closed-Loop Supervised Fine-Tuning of Tokenized Traffic Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.05334","snapshot_observed_at":"2026-08-05T11:30:39.779155Z","title":"Zhang, P","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.02754","last_updated":"2025-09-02T19:02:49Z","snapshot_observed_at":"2026-08-09T02:03:22.156204Z","submitted_at":"2025-09-02T19:02:49Z","title":"Do LLM Modules Generalize? A Study on Motion Generation for Autonomous Driving","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-05T11:30:39.779155Z"},"links":{"cited_paper":"/paper/2412.05334","citing_paper":"/paper/2509.02754"},"observation_digest":"sha256:5125d963ff446e49e91884e9164c1398173a23e8d05161c42a171d641e4b2578","observation_id":"9bff8959-1a96-47d1-bd56-860cd7df1397","resolution":{"observed_at":"2026-08-05T11:30:39.779155Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.05334","last_updated":"2025-03-14T09:11:40Z","snapshot_observed_at":"2026-07-06T20:03:02.297824Z","submitted_at":"2024-12-05T21:00:21Z","title":"Closed-Loop Supervised Fine-Tuning of Tokenized Traffic Models","version":2},"cited_work":{"arxiv_id":"2412.05334","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2412.05334","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Closed-loop supervised fine-tuning of tokenized traffic models","venue":null,"work_id":"8f3192ab-222f-46c5-8bf4-a5bcf33d2eb6","year":2024},"citing_paper":{"arxiv_id":"2605.10564","last_updated":"2026-05-11T13:36:51Z","snapshot_observed_at":"2026-08-09T11:02:22.415972Z","submitted_at":"2026-05-11T13:36:51Z","title":"DeepSight: Long-Horizon World Modeling via Latent States Prediction for End-to-End Autonomous Driving","version":1},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-05-12T04:13:37.421188Z"},"links":{"cited_paper":"/paper/2412.05334","citing_paper":"/paper/2605.10564"},"observation_digest":"sha256:b9032a5787e1ab9d2242a7ab6c83e1dd531dcd962d290ca43bdec60bdbe046f7","observation_id":"33a8e4b2-819d-4790-870b-7e1330a3f078","resolution":{"observed_at":"2026-05-12T06:31:26.004374Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"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"}},{"citation":{"cited_paper":{"arxiv_id":"2412.05334","last_updated":"2025-03-14T09:11:40Z","snapshot_observed_at":"2026-07-06T20:03:02.297824Z","submitted_at":"2024-12-05T21:00:21Z","title":"Closed-Loop Supervised Fine-Tuning of Tokenized Traffic Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.05334","snapshot_observed_at":"2026-08-07T00:13:57.230752Z","title":"Closed-loop supervised fine-tuning of tokenized traffic models.arXiv preprint arXiv:2412.05334, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.01755","last_updated":"2026-08-04T02:59:32Z","snapshot_observed_at":"2026-08-08T15:44:40.329875Z","submitted_at":"2026-08-03T06:24:36Z","title":"Deferred Exposure of Future Trajectories for Verifiable Reasoning in Autonomous Driving VLMs","version":2},"reference_index":80,"source":"pdf_text","source_observed_at":"2026-08-07T00:13:57.230752Z"},"links":{"cited_paper":"/paper/2412.05334","citing_paper":"/paper/2608.01755"},"observation_digest":"sha256:2d31184031afc5245ec60cb38a7de4208f496cf8ea6d0ed14d30735f3bbeeca3","observation_id":"856b6b33-650e-4e75-8a38-0ee3bbd5d889","resolution":{"observed_at":"2026-08-07T00:13:57.230752Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2412.05334/citation-record","integrity":"/paper/2412.05334/integrity","json":"/paper/2412.05334/citation-record.json","paper":"/paper/2412.05334"},"outbound":[],"paper":{"arxiv_id":"2412.05334","last_updated":"2025-03-14T09:11:40Z","latest_version":2,"primary_category":"cs.LG","snapshot_observed_at":"2026-07-06T20:03:02.297824Z","submitted_at":"2024-12-05T21:00:21Z","title":"Closed-Loop Supervised Fine-Tuning of Tokenized Traffic Models"},"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 6 inbound Pith citation observations for arXiv:2412.05334."}