{"as_of":"2026-08-10T09:03:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:2cab6f67a40a7a8085596cca47b7690301daf3564980e56bf681a27c1799a8ff","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":16,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":16,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-10T06:31:04.303077+00:00","state":"measured"},{"denominator":16,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":16,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-09T11:14:08.548427Z","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":"2026-07-04T19:30:07.183064Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2406.01587","last_updated":"2024-06-04T07:48:11Z","snapshot_observed_at":"2026-08-05T10:39:42.651286Z","submitted_at":"2024-06-03T17:59:27Z","title":"PlanAgent: A Multi-modal Large Language Agent for Closed-loop Vehicle Motion Planning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.01587","snapshot_observed_at":"2026-08-09T11:14:08.548427Z","title":"PlanAgent: A multi-modal large language agent for closed-loop vehicle motion planning","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.02773","last_updated":"2025-06-20T00:43:05Z","snapshot_observed_at":"2026-08-09T15:51:07.640732Z","submitted_at":"2025-02-04T23:35:51Z","title":"SD++: Enhancing Standard Definition Maps by Incorporating Road Knowledge using LLMs","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-09T11:14:08.548427Z"},"links":{"cited_paper":"/paper/2406.01587","citing_paper":"/paper/2502.02773"},"observation_digest":"sha256:e27810de753a89fe7d282cd7b7ecf15f79e58a43978dfe55430f9e1f8bb7b5f3","observation_id":"d9c70daf-eb7c-4f5b-9d7c-ffa56cec6fff","resolution":{"observed_at":"2026-08-09T11:14:08.548427Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.01587","last_updated":"2024-06-04T07:48:11Z","snapshot_observed_at":"2026-08-05T10:39:42.651286Z","submitted_at":"2024-06-03T17:59:27Z","title":"PlanAgent: A Multi-modal Large Language Agent for Closed-loop Vehicle Motion Planning","version":2},"cited_work":{"arxiv_id":"2406.01587","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2406.01587","snapshot_observed_at":"2026-07-04T19:30:07.183064Z","title":"Planagent: A multi-modal large language agent for closed-loop vehicle motion planning","venue":null,"work_id":"c2b8957e-8458-46c9-9117-dc291731384e","year":2024},"citing_paper":{"arxiv_id":"2505.17209","last_updated":"2026-04-09T11:34:12Z","snapshot_observed_at":"2026-08-08T06:56:12.180485Z","submitted_at":"2025-05-22T18:33:08Z","title":"LiloDriver: A Lifelong Learning Framework for Closed-loop Motion Planning in Long-tail Autonomous Driving Scenarios","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-05-22T13:18:30.486507Z"},"links":{"cited_paper":"/paper/2406.01587","citing_paper":"/paper/2505.17209"},"observation_digest":"sha256:334d66c8fa871720667149610b65f3113373d494b8cbd1a3a758fdf31a3c8b4a","observation_id":"4057bfdd-edbb-4e6a-99c4-b8edee50e31d","resolution":{"observed_at":"2026-05-22T13:21:35.760419Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.01587","last_updated":"2024-06-04T07:48:11Z","snapshot_observed_at":"2026-08-05T10:39:42.651286Z","submitted_at":"2024-06-03T17:59:27Z","title":"PlanAgent: A Multi-modal Large Language Agent for Closed-loop Vehicle Motion Planning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.01587","snapshot_observed_at":"2026-08-07T14:46:34.783589Z","title":"Planagent: A multi-modal large language agent for closed-loop vehicle motion planning.arXiv preprint arXiv:2406.01587, 2024b","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.17659","last_updated":"2026-06-02T02:54:45Z","snapshot_observed_at":"2026-08-07T14:40:41.464905Z","submitted_at":"2025-05-23T09:22:19Z","title":"Plan-R1: Safe and Feasible Trajectory Planning as Language Modeling","version":5},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-07T14:46:34.783589Z"},"links":{"cited_paper":"/paper/2406.01587","citing_paper":"/paper/2505.17659"},"observation_digest":"sha256:55f3c875933d2be7005c02b96e7befe8fb993b6242ecb7c57e7c79da7abc2e13","observation_id":"97f4bea5-471d-4334-bae1-6cf345fe321c","resolution":{"observed_at":"2026-08-07T14:46:34.783589Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.01587","last_updated":"2024-06-04T07:48:11Z","snapshot_observed_at":"2026-08-05T10:39:42.651286Z","submitted_at":"2024-06-03T17:59:27Z","title":"PlanAgent: A Multi-modal Large Language Agent for Closed-loop Vehicle Motion Planning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.01587","snapshot_observed_at":"2026-08-07T14:02:58.045250Z","title":"Planagent: A multi-modal large lan- guage agent for closed-loop vehicle motion planning,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.20223","last_updated":"2025-05-26T17:06:00Z","snapshot_observed_at":"2026-08-09T21:06:33.120007Z","submitted_at":"2025-05-26T17:06:00Z","title":"Chain-of-Thought for Autonomous Driving: A Comprehensive Survey and Future Prospects","version":1},"reference_index":80,"source":"pdf_text","source_observed_at":"2026-08-07T14:02:58.045250Z"},"links":{"cited_paper":"/paper/2406.01587","citing_paper":"/paper/2505.20223"},"observation_digest":"sha256:7e75d19031d7b62f8a4392705dd4e2e0d2b0881934abc32d37e51f4070a33129","observation_id":"b0bbb771-66a6-4a8a-907a-eee50c28535e","resolution":{"observed_at":"2026-08-07T14:02:58.045250Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.01587","last_updated":"2024-06-04T07:48:11Z","snapshot_observed_at":"2026-08-05T10:39:42.651286Z","submitted_at":"2024-06-03T17:59:27Z","title":"PlanAgent: A Multi-modal Large Language Agent for Closed-loop Vehicle Motion Planning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.01587","snapshot_observed_at":"2026-08-06T23:26:47.820308Z","title":"Planagent: A multi-modal large language agent for closed-loop vehicle motion planning,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.18019","last_updated":"2025-07-04T14:29:40Z","snapshot_observed_at":"2026-08-09T01:56:23.536720Z","submitted_at":"2025-06-22T12:59:12Z","title":"Graphs Meet AI Agents: Taxonomy, Progress, and Future Opportunities","version":3},"reference_index":67,"source":"pdf_text","source_observed_at":"2026-08-06T23:26:47.820308Z"},"links":{"cited_paper":"/paper/2406.01587","citing_paper":"/paper/2506.18019"},"observation_digest":"sha256:49a0a50129be2bfc31fe2cd6d8ccab3dee2f6016a91a6286127cd59bba658466","observation_id":"3e02edc8-a686-422a-a18b-052a5e6fb3ff","resolution":{"observed_at":"2026-08-06T23:26:47.820308Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.01587","last_updated":"2024-06-04T07:48:11Z","snapshot_observed_at":"2026-08-05T10:39:42.651286Z","submitted_at":"2024-06-03T17:59:27Z","title":"PlanAgent: A Multi-modal Large Language Agent for Closed-loop Vehicle Motion Planning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.01587","snapshot_observed_at":"2026-08-03T16:52:58.469255Z","title":"Genad: Generative end-to-end autonomous driving, European Conference on Computer Vision","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2512.11944","last_updated":"2026-05-28T11:10:14Z","snapshot_observed_at":"2026-08-03T16:52:46.785804Z","submitted_at":"2025-12-12T14:01:24Z","title":"A Review of Learning-Based Motion Planning: Toward a Data-Driven Optimal Control Approach","version":2},"reference_index":4113,"source":"pdf_text","source_observed_at":"2026-08-03T16:52:58.469255Z"},"links":{"cited_paper":"/paper/2406.01587","citing_paper":"/paper/2512.11944"},"observation_digest":"sha256:35e49d35e796047c601195480784ab72b263148fcc75f5a0d615e628cdadc768","observation_id":"975800ec-3d12-4cd3-a3fc-08dd0f00dea1","resolution":{"observed_at":"2026-08-03T16:52:58.469255Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.01587","last_updated":"2024-06-04T07:48:11Z","snapshot_observed_at":"2026-08-05T10:39:42.651286Z","submitted_at":"2024-06-03T17:59:27Z","title":"PlanAgent: A Multi-modal Large Language Agent for Closed-loop Vehicle Motion Planning","version":2},"cited_work":{"arxiv_id":"2406.01587","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2406.01587","snapshot_observed_at":"2026-07-04T19:30:07.183064Z","title":"Planagent: A multi-modal large language agent for closed-loop vehicle motion planning","venue":null,"work_id":"c2b8957e-8458-46c9-9117-dc291731384e","year":2024},"citing_paper":{"arxiv_id":"2601.12538","last_updated":"2026-01-18T18:58:23Z","snapshot_observed_at":"2026-08-04T22:42:23.171653Z","submitted_at":"2026-01-18T18:58:23Z","title":"Agentic Reasoning for Large Language Models","version":1},"reference_index":150,"source":"pdf_text","source_observed_at":"2026-05-17T15:14:25.558878Z"},"links":{"cited_paper":"/paper/2406.01587","citing_paper":"/paper/2601.12538"},"observation_digest":"sha256:a1cbf686d52ccf55889783c03931e3a2fab848a3d3f0bb074a12f7445535d804","observation_id":"5568efbb-d52b-44af-92f3-46e55081f489","resolution":{"observed_at":"2026-05-17T15:14:26.149710Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.01587","last_updated":"2024-06-04T07:48:11Z","snapshot_observed_at":"2026-08-05T10:39:42.651286Z","submitted_at":"2024-06-03T17:59:27Z","title":"PlanAgent: A Multi-modal Large Language Agent for Closed-loop Vehicle Motion Planning","version":2},"cited_work":{"arxiv_id":"2406.01587","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2406.01587","snapshot_observed_at":"2026-07-04T19:30:07.183064Z","title":"Planagent: A multi-modal large language agent for closed-loop vehicle motion planning","venue":null,"work_id":"c2b8957e-8458-46c9-9117-dc291731384e","year":2024},"citing_paper":{"arxiv_id":"2602.18600","last_updated":"2026-07-29T09:42:45Z","snapshot_observed_at":"2026-08-02T22:00:02.664173Z","submitted_at":"2026-02-20T20:22:18Z","title":"MapTab: A Diagnostic Benchmark for Long-Horizon Multi-Criteria Multimodal Reasoning on Heterogeneous Topological Graphs","version":2},"reference_index":103,"source":"pdf_text","source_observed_at":"2026-05-15T20:12:46.385646Z"},"links":{"cited_paper":"/paper/2406.01587","citing_paper":"/paper/2602.18600"},"observation_digest":"sha256:d32c9ab3efdfbaf5b344401e946d139b5114c0ede69726dded76c6509f52dbb8","observation_id":"955ff39f-e850-4156-82e2-8cf825375248","resolution":{"observed_at":"2026-05-15T20:16:34.692333Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.01587","last_updated":"2024-06-04T07:48:11Z","snapshot_observed_at":"2026-08-05T10:39:42.651286Z","submitted_at":"2024-06-03T17:59:27Z","title":"PlanAgent: A Multi-modal Large Language Agent for Closed-loop Vehicle Motion Planning","version":2},"cited_work":{"arxiv_id":"2406.01587","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2406.01587","snapshot_observed_at":"2026-07-04T19:30:07.183064Z","title":"Planagent: A multi-modal large language agent for closed-loop vehicle motion planning","venue":null,"work_id":"c2b8957e-8458-46c9-9117-dc291731384e","year":2024},"citing_paper":{"arxiv_id":"2602.18600","last_updated":"2026-07-29T09:42:45Z","snapshot_observed_at":"2026-08-02T22:00:02.664173Z","submitted_at":"2026-02-20T20:22:18Z","title":"MapTab: A Diagnostic Benchmark for Long-Horizon Multi-Criteria Multimodal Reasoning on Heterogeneous Topological Graphs","version":3},"reference_index":103,"source":"pdf_text","source_observed_at":"2026-05-22T10:30:06.829915Z"},"links":{"cited_paper":"/paper/2406.01587","citing_paper":"/paper/2602.18600"},"observation_digest":"sha256:027bcfab12392744dd5838700f1e156404a34f2156d6b0996350d55543f3f34c","observation_id":"32269c9a-c6d7-43ef-ad7c-b91bca78a17e","resolution":{"observed_at":"2026-05-22T10:31:25.230112Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.01587","last_updated":"2024-06-04T07:48:11Z","snapshot_observed_at":"2026-08-05T10:39:42.651286Z","submitted_at":"2024-06-03T17:59:27Z","title":"PlanAgent: A Multi-modal Large Language Agent for Closed-loop Vehicle Motion Planning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.01587","snapshot_observed_at":"2026-08-02T22:00:14.027088Z","title":"Planagent: A multi-modal large language agent for closed-loop vehicle motion planning.arXiv preprint arXiv:2406.01587, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2602.18600","last_updated":"2026-07-29T09:42:45Z","snapshot_observed_at":"2026-08-02T22:00:02.664173Z","submitted_at":"2026-02-20T20:22:18Z","title":"MapTab: A Diagnostic Benchmark for Long-Horizon Multi-Criteria Multimodal Reasoning on Heterogeneous Topological Graphs","version":5},"reference_index":102,"source":"pdf_text","source_observed_at":"2026-08-02T22:00:14.027088Z"},"links":{"cited_paper":"/paper/2406.01587","citing_paper":"/paper/2602.18600"},"observation_digest":"sha256:cdd2ee4511ae44a4bafc851eaf0846791feaf527158949024ab1c2e1800465c7","observation_id":"0610fb10-db7e-4e6a-9a59-d67fb2a89ad2","resolution":{"observed_at":"2026-08-02T22:00:14.027088Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.01587","last_updated":"2024-06-04T07:48:11Z","snapshot_observed_at":"2026-08-05T10:39:42.651286Z","submitted_at":"2024-06-03T17:59:27Z","title":"PlanAgent: A Multi-modal Large Language Agent for Closed-loop Vehicle Motion Planning","version":2},"cited_work":{"arxiv_id":"2406.01587","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2406.01587","snapshot_observed_at":"2026-07-04T19:30:07.183064Z","title":"Planagent: A multi-modal large language agent for closed-loop vehicle motion planning","venue":null,"work_id":"c2b8957e-8458-46c9-9117-dc291731384e","year":2024},"citing_paper":{"arxiv_id":"2605.25393","last_updated":"2026-05-25T03:38:12Z","snapshot_observed_at":"2026-08-02T14:42:28.210558Z","submitted_at":"2026-05-25T03:38:12Z","title":"Decision-Making with Lightweight Confidence-Aware Language Model for Autonomous Driving","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-06-29T22:00:40.403204Z"},"links":{"cited_paper":"/paper/2406.01587","citing_paper":"/paper/2605.25393"},"observation_digest":"sha256:05a489d9391fe939452518be9c200fc4fe08d186cacc58b62eab30e4a44f2e7b","observation_id":"9e03900b-69c4-433f-ac30-16b0752e6524","resolution":{"observed_at":"2026-06-29T22:04:00.177472Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.01587","last_updated":"2024-06-04T07:48:11Z","snapshot_observed_at":"2026-08-05T10:39:42.651286Z","submitted_at":"2024-06-03T17:59:27Z","title":"PlanAgent: A Multi-modal Large Language Agent for Closed-loop Vehicle Motion Planning","version":2},"cited_work":{"arxiv_id":"2406.01587","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2406.01587","snapshot_observed_at":"2026-07-04T19:30:07.183064Z","title":"Planagent: A multi-modal large language agent for closed-loop vehicle motion planning","venue":null,"work_id":"c2b8957e-8458-46c9-9117-dc291731384e","year":2024},"citing_paper":{"arxiv_id":"2605.28583","last_updated":"2026-05-27T15:06:34Z","snapshot_observed_at":"2026-08-07T12:21:07.304296Z","submitted_at":"2026-05-27T15:06:34Z","title":"SARAD: LLM-Based Safety-Aware Hybrid Reinforcement Learning with Collision Prediction for Autonomous Driving","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-06-29T11:49:24.977603Z"},"links":{"cited_paper":"/paper/2406.01587","citing_paper":"/paper/2605.28583"},"observation_digest":"sha256:92ecb4732d041f205f5d3f8a2e74c6a08fd591daa8be13251eb6121438c7f1f7","observation_id":"aa04ef5c-3fc7-49f2-b78f-923c0437b0f7","resolution":{"observed_at":"2026-06-29T11:53:23.774123Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.01587","last_updated":"2024-06-04T07:48:11Z","snapshot_observed_at":"2026-08-05T10:39:42.651286Z","submitted_at":"2024-06-03T17:59:27Z","title":"PlanAgent: A Multi-modal Large Language Agent for Closed-loop Vehicle Motion Planning","version":2},"cited_work":{"arxiv_id":"2406.01587","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2406.01587","snapshot_observed_at":"2026-07-04T19:30:07.183064Z","title":"Planagent: A multi-modal large language agent for closed-loop vehicle motion planning","venue":null,"work_id":"c2b8957e-8458-46c9-9117-dc291731384e","year":2024},"citing_paper":{"arxiv_id":"2606.08470","last_updated":"2026-06-07T06:27:29Z","snapshot_observed_at":"2026-08-06T00:05:49.538242Z","submitted_at":"2026-06-07T06:27:29Z","title":"LUNA-AD: Lightweight Uncertainty-Aware Language Model with Lifelong Learning for Autonomous Driving","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-06-27T18:40:24.800080Z"},"links":{"cited_paper":"/paper/2406.01587","citing_paper":"/paper/2606.08470"},"observation_digest":"sha256:b1628d4d1d89bae0d5ea00b89f2afc4b189e2605225697eab4335fd4afea9c63","observation_id":"117191e7-591d-4fbe-be3d-53875777d8f1","resolution":{"observed_at":"2026-07-02T22:47:25.604448Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.01587","last_updated":"2024-06-04T07:48:11Z","snapshot_observed_at":"2026-08-05T10:39:42.651286Z","submitted_at":"2024-06-03T17:59:27Z","title":"PlanAgent: A Multi-modal Large Language Agent for Closed-loop Vehicle Motion Planning","version":2},"cited_work":{"arxiv_id":"2406.01587","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2406.01587","snapshot_observed_at":"2026-07-04T19:30:07.183064Z","title":"Planagent: A multi-modal large language agent for closed-loop vehicle motion planning","venue":null,"work_id":"c2b8957e-8458-46c9-9117-dc291731384e","year":2024},"citing_paper":{"arxiv_id":"2606.11569","last_updated":"2026-06-10T01:51:51Z","snapshot_observed_at":"2026-08-02T04:33:28.330899Z","submitted_at":"2026-06-10T01:51:51Z","title":"ConsistencyPlanner: Real-time Planning with Fast-Sampling Consistency Models","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-06-27T10:04:48.622730Z"},"links":{"cited_paper":"/paper/2406.01587","citing_paper":"/paper/2606.11569"},"observation_digest":"sha256:4b4a82cce0d75a7f9e97c9df34c7aa16f0bbbed7eca8b4f028e018a406c74db4","observation_id":"b67578d1-7712-497e-8b07-63a2453ebb22","resolution":{"observed_at":"2026-07-03T10:27:55.988101Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.01587","last_updated":"2024-06-04T07:48:11Z","snapshot_observed_at":"2026-08-05T10:39:42.651286Z","submitted_at":"2024-06-03T17:59:27Z","title":"PlanAgent: A Multi-modal Large Language Agent for Closed-loop Vehicle Motion Planning","version":2},"cited_work":{"arxiv_id":"2406.01587","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2406.01587","snapshot_observed_at":"2026-07-04T19:30:07.183064Z","title":"Planagent: A multi-modal large language agent for closed-loop vehicle motion planning","venue":null,"work_id":"c2b8957e-8458-46c9-9117-dc291731384e","year":2024},"citing_paper":{"arxiv_id":"2606.25509","last_updated":"2026-06-24T07:44:51Z","snapshot_observed_at":"2026-07-06T23:59:57.346004Z","submitted_at":"2026-06-24T07:44:51Z","title":"ASSCG: Just-Right Gating over Chattering for Fast-Slow LLM Planning in Autonomous Driving","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-06-25T21:20:14.654132Z"},"links":{"cited_paper":"/paper/2406.01587","citing_paper":"/paper/2606.25509"},"observation_digest":"sha256:c52593b49a9757cc1e1913b24ac6ef3716c75ec04eadd46815920f3ee9b99fd5","observation_id":"b18af71e-0a03-4fc2-b537-e108b2e7af70","resolution":{"observed_at":"2026-07-04T19:30:07.184439Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.01587","last_updated":"2024-06-04T07:48:11Z","snapshot_observed_at":"2026-08-05T10:39:42.651286Z","submitted_at":"2024-06-03T17:59:27Z","title":"PlanAgent: A Multi-modal Large Language Agent for Closed-loop Vehicle Motion Planning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.01587","snapshot_observed_at":"2026-07-11T20:01:39.628512Z","title":"Zheng, Z","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.04331","last_updated":"2026-07-05T14:27:47Z","snapshot_observed_at":"2026-08-04T22:33:58.765666Z","submitted_at":"2026-07-05T14:27:47Z","title":"Agent-driven Long-tail Simulation for Autonomous Driving","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-07-11T20:01:39.628512Z"},"links":{"cited_paper":"/paper/2406.01587","citing_paper":"/paper/2607.04331"},"observation_digest":"sha256:f1ad5b6ecd591255c34f999a8111d7ca983f9212fbcc381dad77065612d0d4b9","observation_id":"d1bbda4a-9d88-469c-90ca-870b17aa6c94","resolution":{"observed_at":"2026-07-11T20:01:39.628512Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2406.01587/citation-record","integrity":"/paper/2406.01587/integrity","json":"/paper/2406.01587/citation-record.json","paper":"/paper/2406.01587"},"outbound":[],"paper":{"arxiv_id":"2406.01587","last_updated":"2024-06-04T07:48:11Z","latest_version":2,"primary_category":"cs.RO","snapshot_observed_at":"2026-08-05T10:39:42.651286Z","submitted_at":"2024-06-03T17:59:27Z","title":"PlanAgent: A Multi-modal Large Language Agent for Closed-loop Vehicle Motion Planning"},"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":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 16 inbound Pith citation observations for arXiv:2406.01587."}