{"as_of":"2026-08-21T05:37:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:cf03c16217899aa8922814f50b1d21a0f4e9a4c81bdd88442d276f7dbf5a4aff","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":"2026-08-20T06:33:59.587034+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":"2026-08-15T20:14:56.380845Z","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":"2026-08-07T15:13:46.012182Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2405.13547","last_updated":"2024-05-22T11:32:37Z","snapshot_observed_at":"2026-08-16T13:50:40.243322Z","submitted_at":"2024-05-22T11:32:37Z","title":"HighwayLLM: Decision-Making and Navigation in Highway Driving with RL-Informed Language Model","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.13547","snapshot_observed_at":"2026-08-12T11:47:25.501726Z","title":"High- wayllm: Decision-making and navigation in highway driv- ing with rl-informed language model","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.17886","last_updated":"2024-12-17T04:59:06Z","snapshot_observed_at":"2026-08-12T11:41:33.019697Z","submitted_at":"2024-11-26T21:16:36Z","title":"The Context of Crash Occurrence: A Complexity-Infused Approach Integrating Semantic, Contextual, and Kinematic Features","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-12T11:47:25.501726Z"},"links":{"cited_paper":"/paper/2405.13547","citing_paper":"/paper/2411.17886"},"observation_digest":"sha256:10ff77cba2c6bfd072cca904e8f5dc7d90971794c930ecd38f8880609ea5d06b","observation_id":"464c8fa0-d91b-4a50-a26b-535d2d4df684","resolution":{"observed_at":"2026-08-12T11:47:25.501726Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.13547","last_updated":"2024-05-22T11:32:37Z","snapshot_observed_at":"2026-08-16T13:50:40.243322Z","submitted_at":"2024-05-22T11:32:37Z","title":"HighwayLLM: Decision-Making and Navigation in Highway Driving with RL-Informed Language Model","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.13547","snapshot_observed_at":"2026-08-11T11:25:15.416295Z","title":"arXiv preprint arXiv:2405.13547","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2412.15544","last_updated":"2024-12-20T04:08:11Z","snapshot_observed_at":"2026-08-19T21:36:18.517895Z","submitted_at":"2024-12-20T04:08:11Z","title":"VLM-RL: A Unified Vision Language Models and Reinforcement Learning Framework for Safe Autonomous Driving","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-11T11:25:15.416295Z"},"links":{"cited_paper":"/paper/2405.13547","citing_paper":"/paper/2412.15544"},"observation_digest":"sha256:0ca568022f8e6f47944b756968d3e671fae04d707b149ed5bca1757d681f36bd","observation_id":"ad1e3338-0854-496e-8bf4-1c981944b598","resolution":{"observed_at":"2026-08-11T11:25:15.416295Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.13547","last_updated":"2024-05-22T11:32:37Z","snapshot_observed_at":"2026-08-16T13:50:40.243322Z","submitted_at":"2024-05-22T11:32:37Z","title":"HighwayLLM: Decision-Making and Navigation in Highway Driving with RL-Informed Language Model","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.13547","snapshot_observed_at":"2026-08-10T21:37:04.930686Z","title":"Highwayllm: Decision-making and navigation in highway driving with rl-informed language model,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.04437","last_updated":"2025-01-08T11:37:35Z","snapshot_observed_at":"2026-08-15T15:09:52.340962Z","submitted_at":"2025-01-08T11:37:35Z","title":"Integrating LLMs with ITS: Recent Advances, Potentials, Challenges, and Future Directions","version":1},"reference_index":180,"source":"pdf_text","source_observed_at":"2026-08-10T21:37:04.930686Z"},"links":{"cited_paper":"/paper/2405.13547","citing_paper":"/paper/2501.04437"},"observation_digest":"sha256:be180cef3faa229400581779bf6c7c3dd494e8dda59b6b5889f372e75eae033c","observation_id":"0b3246d2-4b7d-4af9-b661-9b7cf94edc03","resolution":{"observed_at":"2026-08-10T21:37:04.930686Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.13547","last_updated":"2024-05-22T11:32:37Z","snapshot_observed_at":"2026-08-16T13:50:40.243322Z","submitted_at":"2024-05-22T11:32:37Z","title":"HighwayLLM: Decision-Making and Navigation in Highway Driving with RL-Informed Language Model","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.13547","snapshot_observed_at":"2026-08-15T20:14:56.380845Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.13669","last_updated":"2025-05-19T19:17:06Z","snapshot_observed_at":"2026-08-20T05:59:49.447000Z","submitted_at":"2025-05-19T19:17:06Z","title":"GeoVLM: Improving Automated Vehicle Geolocalisation Using Vision-Language Matching","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-15T20:14:56.380845Z"},"links":{"cited_paper":"/paper/2405.13547","citing_paper":"/paper/2505.13669"},"observation_digest":"sha256:0786edf094f4cc468d4ac1b757f09db915d69bebd3dde77d7d0d46803e503ed1","observation_id":"2955249e-90f9-4eb5-9b9b-46dc8365f238","resolution":{"observed_at":"2026-08-15T20:14:56.380845Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.13547","last_updated":"2024-05-22T11:32:37Z","snapshot_observed_at":"2026-08-16T13:50:40.243322Z","submitted_at":"2024-05-22T11:32:37Z","title":"HighwayLLM: Decision-Making and Navigation in Highway Driving with RL-Informed Language Model","version":1},"cited_work":{"arxiv_id":"2405.13547","doi":null,"metadata_source":"pith","pith_arxiv_id":"2405.13547","snapshot_observed_at":"2026-08-07T15:13:46.012182Z","title":"HighwayLLM: Decision-Making and Navigation in Highway Driving with RL-Informed Language Model","venue":"cs.RO","work_id":"eda128ec-b040-4e37-8c8d-58b70fde8c70","year":2024},"citing_paper":{"arxiv_id":"2505.15793","last_updated":"2025-05-22T04:48:12Z","snapshot_observed_at":"2026-08-13T07:29:58.815034Z","submitted_at":"2025-05-21T17:47:24Z","title":"HCRMP: A LLM-Hinted Contextual Reinforcement Learning Framework for Autonomous Driving","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-07T15:13:40.692441Z"},"links":{"cited_paper":"/paper/2405.13547","citing_paper":"/paper/2505.15793"},"observation_digest":"sha256:011b618fbddde3009cf3485a0d5fdc412346a337bb5af046ee30a6971cc57d90","observation_id":"3b0f2862-310e-474d-b8e6-c4f75ddf3572","resolution":{"observed_at":"2026-08-07T15:13:46.115841Z","resolver_source":"local_arxiv","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/2405.13547/citation-record","integrity":"/paper/2405.13547/integrity","json":"/paper/2405.13547/citation-record.json","paper":"/paper/2405.13547"},"outbound":[],"paper":{"arxiv_id":"2405.13547","last_updated":"2024-05-22T11:32:37Z","latest_version":1,"primary_category":"cs.RO","snapshot_observed_at":"2026-08-16T13:50:40.243322Z","submitted_at":"2024-05-22T11:32:37Z","title":"HighwayLLM: Decision-Making and Navigation in Highway Driving with RL-Informed Language Model"},"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 5 inbound Pith citation observations for arXiv:2405.13547."}