{"as_of":"2026-08-13T01:12:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:148663d49d2d773b380a68b372b09176733b273860281e817d6dab343437b356","coverage":[{"denominator":56,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":56,"source":"paper_references, paper_reference_links","source_observed_at":"2026-06-27T18:40:24.800080Z","state":"measured"},{"denominator":56,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":56,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-12T06:34:41.77262+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2606.08470/citation-record","integrity":"/paper/2606.08470/integrity","json":"/paper/2606.08470/citation-record.json","paper":"/paper/2606.08470"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T18:40:24.800080Z","title":"Planning and decision- making for autonomous vehicles,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2606.08470","last_updated":"2026-06-07T06:27:29Z","snapshot_observed_at":"2026-08-12T13:14:42.221362Z","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":1,"source":"pdf_text","source_observed_at":"2026-06-27T18:40:24.800080Z"},"links":{"citing_paper":"/paper/2606.08470"},"observation_digest":"sha256:67bc55677e5f6e8f5f9a7cec30d3671677d0e74bbf1ac04e6c5a7d8286eace10","observation_id":"9ce6a6e4-0250-474b-b85b-25068864090d","resolution":{"observed_at":"2026-06-27T18:40:24.800080Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T18:40:24.800080Z","title":"An integrated framework of decision making and motion planning for autonomous vehicles considering social behaviors,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2606.08470","last_updated":"2026-06-07T06:27:29Z","snapshot_observed_at":"2026-08-12T13:14:42.221362Z","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":2,"source":"pdf_text","source_observed_at":"2026-06-27T18:40:24.800080Z"},"links":{"citing_paper":"/paper/2606.08470"},"observation_digest":"sha256:635fa3294f88dfab7a9f3eed3a097bbe7fb818137136bb08214f24b816edd21e","observation_id":"777af392-81a5-4d35-9ec9-fdb25711ce99","resolution":{"observed_at":"2026-06-27T18:40:24.800080Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.22313","last_updated":"2024-10-29T17:53:56Z","snapshot_observed_at":"2026-07-31T01:16:26.372370Z","submitted_at":"2024-10-29T17:53:56Z","title":"Senna: Bridging Large Vision-Language Models and End-to-End Autonomous Driving","version":1},"cited_work":{"arxiv_id":"2410.22313","doi":null,"metadata_source":"pith","pith_arxiv_id":"2410.22313","snapshot_observed_at":"2026-07-10T08:36:59.782338Z","title":"Senna: Bridging Large Vision-Language Models and End-to-End Autonomous Driving","venue":"cs.CV","work_id":"d832f16e-83a0-4311-bc95-39727ba8ccb6","year":2024},"citing_paper":{"arxiv_id":"2606.08470","last_updated":"2026-06-07T06:27:29Z","snapshot_observed_at":"2026-08-12T13:14:42.221362Z","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":3,"source":"pdf_text","source_observed_at":"2026-06-27T18:40:24.800080Z"},"links":{"cited_paper":"/paper/2410.22313","citing_paper":"/paper/2606.08470"},"observation_digest":"sha256:deb65ab511eb5b068ea155b6880fb0f9e9e7139722e39f8bd5a0aeb780986013","observation_id":"da9a02fe-fe00-4879-879b-d10ba666d8a9","resolution":{"observed_at":"2026-07-02T22:47:25.616059Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T18:40:24.800080Z","title":"Bilevel multi-armed bandit- based hierarchical reinforcement learning for interaction-aware self- driving at unsignalized intersections,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2606.08470","last_updated":"2026-06-07T06:27:29Z","snapshot_observed_at":"2026-08-12T13:14:42.221362Z","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":4,"source":"pdf_text","source_observed_at":"2026-06-27T18:40:24.800080Z"},"links":{"citing_paper":"/paper/2606.08470"},"observation_digest":"sha256:7bd81162befbb862c9f90907c0b116e1d676693fbd219b5456e7c289db07e23b","observation_id":"73bb9d31-cdd2-48fa-ab6c-bba66c213538","resolution":{"observed_at":"2026-06-27T18:40:24.800080Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T18:40:24.800080Z","title":"End-to-end autonomous driving: Challenges and frontiers,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2606.08470","last_updated":"2026-06-07T06:27:29Z","snapshot_observed_at":"2026-08-12T13:14:42.221362Z","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":5,"source":"pdf_text","source_observed_at":"2026-06-27T18:40:24.800080Z"},"links":{"citing_paper":"/paper/2606.08470"},"observation_digest":"sha256:4ce50de352f19040e93f8542042020af00a3be085a7e64d1b3d82727aa7ccc6c","observation_id":"061809d2-b66e-489d-a2fd-1b4188aa893e","resolution":{"observed_at":"2026-06-27T18:40:24.800080Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T18:40:24.800080Z","title":"Language models are few-shot learners,","venue":null,"work_id":null,"year":1901},"citing_paper":{"arxiv_id":"2606.08470","last_updated":"2026-06-07T06:27:29Z","snapshot_observed_at":"2026-08-12T13:14:42.221362Z","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":6,"source":"pdf_text","source_observed_at":"2026-06-27T18:40:24.800080Z"},"links":{"citing_paper":"/paper/2606.08470"},"observation_digest":"sha256:67b9051df27c959c034c5bd0c391a313bfd21d3a75211b5a48d047b6e0117547","observation_id":"99464426-cf71-43ad-a7d2-24d817d52256","resolution":{"observed_at":"2026-06-27T18:40:24.800080Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2505.09388","last_updated":"2025-05-14T13:41:34Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-05-14T13:41:34Z","title":"Qwen3 Technical Report","version":1},"cited_work":{"arxiv_id":"2505.09388","doi":"10.1016/j.aiopen.2022.12","metadata_source":"pith","pith_arxiv_id":"2505.09388","snapshot_observed_at":"2026-07-11T11:50:26.030339Z","title":"Qwen3 Technical Report","venue":"cs.CL","work_id":"25a4e30c-1232-48e7-9925-02fa12ba7c9e","year":2025},"citing_paper":{"arxiv_id":"2606.08470","last_updated":"2026-06-07T06:27:29Z","snapshot_observed_at":"2026-08-12T13:14:42.221362Z","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":7,"source":"pdf_text","source_observed_at":"2026-06-27T18:40:24.800080Z"},"links":{"cited_paper":"/paper/2505.09388","citing_paper":"/paper/2606.08470"},"observation_digest":"sha256:54ac52e9cddc4daa6a5a5bce583327635930efb0cd54dcefd4957c6d3dd8fde4","observation_id":"36547568-c0f4-44f7-92c9-8717dd36c183","resolution":{"observed_at":"2026-07-02T22:47:25.610682Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T18:40:24.800080Z","title":"Chain-of-thought prompting elicits reasoning in large language models,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2606.08470","last_updated":"2026-06-07T06:27:29Z","snapshot_observed_at":"2026-08-12T13:14:42.221362Z","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":8,"source":"pdf_text","source_observed_at":"2026-06-27T18:40:24.800080Z"},"links":{"citing_paper":"/paper/2606.08470"},"observation_digest":"sha256:8d3682688c6660bbcd33bc81fbccee5c5611096c084590d54180b0c3d87700d5","observation_id":"d177820b-5f63-4a5e-b8d0-4aa01117a116","resolution":{"observed_at":"2026-06-27T18:40:24.800080Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.01415","last_updated":"2023-12-05T05:26:29Z","snapshot_observed_at":"2026-07-06T16:26:38.284922Z","submitted_at":"2023-10-02T17:59:57Z","title":"GPT-Driver: Learning to Drive with GPT","version":3},"cited_work":{"arxiv_id":"2310.01415","doi":null,"metadata_source":"pith","pith_arxiv_id":"2310.01415","snapshot_observed_at":"2026-07-10T00:46:40.273418Z","title":"GPT-Driver: Learning to Drive with GPT","venue":"cs.CV","work_id":"494d528c-1309-40da-a76e-b19cd26efb14","year":2023},"citing_paper":{"arxiv_id":"2606.08470","last_updated":"2026-06-07T06:27:29Z","snapshot_observed_at":"2026-08-12T13:14:42.221362Z","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":9,"source":"pdf_text","source_observed_at":"2026-06-27T18:40:24.800080Z"},"links":{"cited_paper":"/paper/2310.01415","citing_paper":"/paper/2606.08470"},"observation_digest":"sha256:afb1123cb29aaa8a6d04f54a5f2dacbe4c62ed03688322e85e7a0966e98e817a","observation_id":"135338d7-86df-4448-a55f-58dfebaca6a1","resolution":{"observed_at":"2026-07-02T22:47:25.608387Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T18:40:24.800080Z","title":"LMDrive: Closed-loop end-to-end driving with large language models,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2606.08470","last_updated":"2026-06-07T06:27:29Z","snapshot_observed_at":"2026-08-12T13:14:42.221362Z","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":10,"source":"pdf_text","source_observed_at":"2026-06-27T18:40:24.800080Z"},"links":{"citing_paper":"/paper/2606.08470"},"observation_digest":"sha256:29fbd4f79fbdfd08c71b3c1ae0ab6617aefac792d4be8a50db1a6225d7e5c81e","observation_id":"d5b17117-f780-4308-9eec-c32008fe41c6","resolution":{"observed_at":"2026-06-27T18:40:24.800080Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T18:40:24.800080Z","title":"DrivegGPT4: Interpretable end-to-end autonomous driving via large language model,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2606.08470","last_updated":"2026-06-07T06:27:29Z","snapshot_observed_at":"2026-08-12T13:14:42.221362Z","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":11,"source":"pdf_text","source_observed_at":"2026-06-27T18:40:24.800080Z"},"links":{"citing_paper":"/paper/2606.08470"},"observation_digest":"sha256:e32da12a6b586157141967146c4816e882b75779463b9c9aac7de1796c28258d","observation_id":"23471627-3b03-46a0-ad79-df38fbb4f1f1","resolution":{"observed_at":"2026-06-27T18:40:24.800080Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T18:40:24.800080Z","title":"DriveLM: Driving with graph visual question answering,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2606.08470","last_updated":"2026-06-07T06:27:29Z","snapshot_observed_at":"2026-08-12T13:14:42.221362Z","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":12,"source":"pdf_text","source_observed_at":"2026-06-27T18:40:24.800080Z"},"links":{"citing_paper":"/paper/2606.08470"},"observation_digest":"sha256:23f5a527cc39c7c05c31b8fe3c8292cd3744e3c9725adbbe8effd77fcd866130","observation_id":"04e63532-9e46-438b-95fd-856374f38e6f","resolution":{"observed_at":"2026-06-27T18:40:24.800080Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T18:40:24.800080Z","title":"Self-consistency improves chain of thought reasoning in language models,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2606.08470","last_updated":"2026-06-07T06:27:29Z","snapshot_observed_at":"2026-08-12T13:14:42.221362Z","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":13,"source":"pdf_text","source_observed_at":"2026-06-27T18:40:24.800080Z"},"links":{"citing_paper":"/paper/2606.08470"},"observation_digest":"sha256:76c72fabef026df79e1903f5acb97fef8ce61e89706cb71347e72603cfe3504f","observation_id":"1c2808b2-b86e-4489-a473-f4770d200e2d","resolution":{"observed_at":"2026-06-27T18:40:24.800080Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T18:40:24.800080Z","title":"Tree of thoughts: Deliberate problem solving with large language models,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2606.08470","last_updated":"2026-06-07T06:27:29Z","snapshot_observed_at":"2026-08-12T13:14:42.221362Z","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":14,"source":"pdf_text","source_observed_at":"2026-06-27T18:40:24.800080Z"},"links":{"citing_paper":"/paper/2606.08470"},"observation_digest":"sha256:5234c4ee2c7b6aa3ca46055c301d080a316fe5afa5f60de32557ae8dbaca7dde","observation_id":"e6dd5564-507d-4968-bdf0-6a74abc56584","resolution":{"observed_at":"2026-06-27T18:40:24.800080Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T18:40:24.800080Z","title":"Forking paths in neural text generation,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2606.08470","last_updated":"2026-06-07T06:27:29Z","snapshot_observed_at":"2026-08-12T13:14:42.221362Z","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":15,"source":"pdf_text","source_observed_at":"2026-06-27T18:40:24.800080Z"},"links":{"citing_paper":"/paper/2606.08470"},"observation_digest":"sha256:ab76c733908f24827afa0ee5353503867eeb5f38aa36b59a5fbbb0fdc93e921d","observation_id":"8fd831ba-c76b-4023-9205-09b1cc1c0820","resolution":{"observed_at":"2026-06-27T18:40:24.800080Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T18:40:24.800080Z","title":"A unified framework integrating decision making and trajectory planning based on spatio-temporal voxels for highway autonomous driving,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2606.08470","last_updated":"2026-06-07T06:27:29Z","snapshot_observed_at":"2026-08-12T13:14:42.221362Z","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":16,"source":"pdf_text","source_observed_at":"2026-06-27T18:40:24.800080Z"},"links":{"citing_paper":"/paper/2606.08470"},"observation_digest":"sha256:911fb993c3d136ffb0d007ca58fcd90a218c333ea6c0f7c77176105fd9279d79","observation_id":"85ad6706-d379-47e3-9a60-7db4e79021a7","resolution":{"observed_at":"2026-06-27T18:40:24.800080Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.04209","last_updated":"2025-03-31T13:47:56Z","snapshot_observed_at":"2026-08-12T21:32:55.748251Z","submitted_at":"2024-12-05T14:43:18Z","title":"CALMM-Drive: Confidence-Aware Autonomous Driving with Large Multimodal Model","version":2},"cited_work":{"arxiv_id":"2412.04209","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2412.04209","snapshot_observed_at":"2026-07-04T19:30:07.224645Z","title":"Calmm-drive: Confidence- aware autonomous driving with large multimodal model","venue":null,"work_id":"1f9751d9-df8d-4bf8-9a9c-fbf808c02c53","year":2024},"citing_paper":{"arxiv_id":"2606.08470","last_updated":"2026-06-07T06:27:29Z","snapshot_observed_at":"2026-08-12T13:14:42.221362Z","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":17,"source":"pdf_text","source_observed_at":"2026-06-27T18:40:24.800080Z"},"links":{"cited_paper":"/paper/2412.04209","citing_paper":"/paper/2606.08470"},"observation_digest":"sha256:a83303fb0907ec13cecc3017f66f4f02dca7f0d65b4108c646e369881c23f8fe","observation_id":"446498b9-4cb3-4090-af60-74ced37ebcda","resolution":{"observed_at":"2026-07-02T22:47:25.609548Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T18:40:24.800080Z","title":"GameFormer: Game-theoretic modeling and learning of transformer-based interactive prediction and planning for autonomous driving,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2606.08470","last_updated":"2026-06-07T06:27:29Z","snapshot_observed_at":"2026-08-12T13:14:42.221362Z","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":18,"source":"pdf_text","source_observed_at":"2026-06-27T18:40:24.800080Z"},"links":{"citing_paper":"/paper/2606.08470"},"observation_digest":"sha256:e61d5982c9fe1b52240d64d0b4dacbfff4bb00f6b9d8aa21b6b31596b6e80536","observation_id":"38ab8599-3bcd-413c-9cbb-1d70624d3464","resolution":{"observed_at":"2026-06-27T18:40:24.800080Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.14327","last_updated":"2024-04-22T16:38:41Z","snapshot_observed_at":"2026-08-13T00:24:31.468335Z","submitted_at":"2024-04-22T16:38:41Z","title":"PLUTO: Pushing the Limit of Imitation Learning-based Planning for Autonomous Driving","version":1},"cited_work":{"arxiv_id":"2404.14327","doi":null,"metadata_source":"pith","pith_arxiv_id":"2404.14327","snapshot_observed_at":"2026-07-10T16:57:24.447757Z","title":"Pluto: Pushing the limit of imitation learning- based planning for autonomous driving.ArXiv, abs/2404.14327","venue":"cs.RO","work_id":"f98d2235-a4eb-4867-8a68-6d0af35e4bfb","year":2024},"citing_paper":{"arxiv_id":"2606.08470","last_updated":"2026-06-07T06:27:29Z","snapshot_observed_at":"2026-08-12T13:14:42.221362Z","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":19,"source":"pdf_text","source_observed_at":"2026-06-27T18:40:24.800080Z"},"links":{"cited_paper":"/paper/2404.14327","citing_paper":"/paper/2606.08470"},"observation_digest":"sha256:a98697e81cf8c245ab2a5cc29c7bf291e26cf2aa69befc0a73511a2d220ac41b","observation_id":"41ff39ec-ed7a-436b-b103-ffbd9a627d73","resolution":{"observed_at":"2026-07-02T22:47:25.607144Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T18:40:24.800080Z","title":"Hierarchical prediction uncertainty-aware motion planning for autonomous driving in lane-changing scenarios,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2606.08470","last_updated":"2026-06-07T06:27:29Z","snapshot_observed_at":"2026-08-12T13:14:42.221362Z","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":20,"source":"pdf_text","source_observed_at":"2026-06-27T18:40:24.800080Z"},"links":{"citing_paper":"/paper/2606.08470"},"observation_digest":"sha256:7d7d78f26de6528b8e07f131cea647765c1d94c0e8240df9c48e7f2117de73a7","observation_id":"3b15bda2-7b9d-4538-95e4-9b129260d6b9","resolution":{"observed_at":"2026-06-27T18:40:24.800080Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T18:40:24.800080Z","title":"GenAD: Gener- ative end-to-end autonomous driving,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2606.08470","last_updated":"2026-06-07T06:27:29Z","snapshot_observed_at":"2026-08-12T13:14:42.221362Z","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":21,"source":"pdf_text","source_observed_at":"2026-06-27T18:40:24.800080Z"},"links":{"citing_paper":"/paper/2606.08470"},"observation_digest":"sha256:74794dae14b094089824f13732246e713226f8b0b1f8c94b0d054892307bf213","observation_id":"2a3c0c87-3339-4901-8bdb-c2b7687cfe0a","resolution":{"observed_at":"2026-06-27T18:40:24.800080Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T18:40:24.800080Z","title":"Diffusion-based planning for autonomous driving with flexible guidance,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2606.08470","last_updated":"2026-06-07T06:27:29Z","snapshot_observed_at":"2026-08-12T13:14:42.221362Z","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":22,"source":"pdf_text","source_observed_at":"2026-06-27T18:40:24.800080Z"},"links":{"citing_paper":"/paper/2606.08470"},"observation_digest":"sha256:d08c6816e38bc27bc8817c5b35c32789936892abe008cdb27fdff61ce32e9c5b","observation_id":"fb000d2f-b6ad-4c9a-8bab-c7920e491acd","resolution":{"observed_at":"2026-06-27T18:40:24.800080Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2410.05051","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-02T22:47:25.617248Z","title":"He-drive: Human-like end-to-end driv- ing with vision language models","venue":null,"work_id":"3c6f6de1-4e5d-4bff-af04-1b4122f590ac","year":2024},"citing_paper":{"arxiv_id":"2606.08470","last_updated":"2026-06-07T06:27:29Z","snapshot_observed_at":"2026-08-12T13:14:42.221362Z","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":23,"source":"pdf_text","source_observed_at":"2026-06-27T18:40:24.800080Z"},"links":{"citing_paper":"/paper/2606.08470"},"observation_digest":"sha256:95b3ee4976f707b1cf34668b2f6187d603528370515c3831832a0bdea6373d6e","observation_id":"f6a74abd-62d3-465b-bf13-4300ce870a30","resolution":{"observed_at":"2026-07-02T22:47:25.618767Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2503.19755","last_updated":"2025-03-25T15:18:43Z","snapshot_observed_at":"2026-08-05T21:57:39.132989Z","submitted_at":"2025-03-25T15:18:43Z","title":"ORION: A Holistic End-to-End Autonomous Driving Framework by Vision-Language Instructed Action Generation","version":1},"cited_work":{"arxiv_id":"2503.19755","doi":null,"metadata_source":"pith","pith_arxiv_id":"2503.19755","snapshot_observed_at":"2026-07-04T08:49:42.181123Z","title":"ORION: A Holistic End-to-End Autonomous Driving Framework by Vision-Language Instructed Action Generation","venue":"cs.CV","work_id":"c3fa58f6-0efb-4d29-a673-a2f26228ba6d","year":2025},"citing_paper":{"arxiv_id":"2606.08470","last_updated":"2026-06-07T06:27:29Z","snapshot_observed_at":"2026-08-12T13:14:42.221362Z","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":24,"source":"pdf_text","source_observed_at":"2026-06-27T18:40:24.800080Z"},"links":{"cited_paper":"/paper/2503.19755","citing_paper":"/paper/2606.08470"},"observation_digest":"sha256:def0a0b0052728573e571d4930ba5fd2479b28cf04e965b3d4799633ce6acd96","observation_id":"07572fd4-546a-41ea-bfd8-51fcef8375ff","resolution":{"observed_at":"2026-07-02T22:47:25.611870Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2506.08052","last_updated":"2025-09-29T17:21:41Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-06-09T03:14:04Z","title":"ReCogDrive: A Reinforced Cognitive Framework for End-to-End Autonomous Driving","version":2},"cited_work":{"arxiv_id":"2506.08052","doi":null,"metadata_source":"pith","pith_arxiv_id":"2506.08052","snapshot_observed_at":"2026-07-10T08:36:59.842975Z","title":"ReCogDrive: A Reinforced Cognitive Framework for End-to-End Autonomous Driving","venue":"cs.CV","work_id":"02bd7e58-a437-4e26-912d-8f1a2e695fa7","year":2025},"citing_paper":{"arxiv_id":"2606.08470","last_updated":"2026-06-07T06:27:29Z","snapshot_observed_at":"2026-08-12T13:14:42.221362Z","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":25,"source":"pdf_text","source_observed_at":"2026-06-27T18:40:24.800080Z"},"links":{"cited_paper":"/paper/2506.08052","citing_paper":"/paper/2606.08470"},"observation_digest":"sha256:e709560f43558eb8e3d57dedd14c97a858b7e67a65a8a0834f87b6df74efd45c","observation_id":"a47d99df-7e3d-48bb-8d9b-19b26dbb6e59","resolution":{"observed_at":"2026-07-02T22:47:25.598077Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2510.12796","last_updated":"2025-12-18T07:25:29Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-10-14T17:59:47Z","title":"DriveVLA-W0: World Models Amplify Data Scaling Law in Autonomous Driving","version":2},"cited_work":{"arxiv_id":"2510.12796","doi":null,"metadata_source":"pith","pith_arxiv_id":"2510.12796","snapshot_observed_at":"2026-07-10T08:36:59.776968Z","title":"DriveVLA-W0: World Models Amplify Data Scaling Law in Autonomous Driving","venue":"cs.CV","work_id":"c356b2a8-eaa6-476d-b6d8-8680bb5ddff8","year":2025},"citing_paper":{"arxiv_id":"2606.08470","last_updated":"2026-06-07T06:27:29Z","snapshot_observed_at":"2026-08-12T13:14:42.221362Z","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":26,"source":"pdf_text","source_observed_at":"2026-06-27T18:40:24.800080Z"},"links":{"cited_paper":"/paper/2510.12796","citing_paper":"/paper/2606.08470"},"observation_digest":"sha256:2412039d1a56af35f7daf76751cba003322a7fbb9082ad7eea69952d82388024","observation_id":"f7dc9127-d13b-4cf3-a92b-5e70fa994026","resolution":{"observed_at":"2026-07-02T22:47:25.595095Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2001.08361","last_updated":"2020-01-23T03:59:20Z","snapshot_observed_at":"2026-07-06T08:52:12.656082Z","submitted_at":"2020-01-23T03:59:20Z","title":"Scaling Laws for Neural Language Models","version":1},"cited_work":{"arxiv_id":"2001.08361","doi":"10.1145/3616855.3635845","metadata_source":"pith","pith_arxiv_id":"2001.08361","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Scaling Laws for Neural Language Models","venue":"cs.LG","work_id":"b7dd8749-9c45-4977-ab9b-64478dce1ae8","year":2020},"citing_paper":{"arxiv_id":"2606.08470","last_updated":"2026-06-07T06:27:29Z","snapshot_observed_at":"2026-08-12T13:14:42.221362Z","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":27,"source":"pdf_text","source_observed_at":"2026-06-27T18:40:24.800080Z"},"links":{"cited_paper":"/paper/2001.08361","citing_paper":"/paper/2606.08470"},"observation_digest":"sha256:a885a147f819a5a2d3e42d25b718f0b044d325f30930f1c81a5984a0693970f1","observation_id":"13c1fa4d-90c9-4177-807a-3dda60a88112","resolution":{"observed_at":"2026-07-02T22:47:25.582442Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1503.02531","last_updated":"2015-03-09T15:44:49Z","snapshot_observed_at":"2026-07-06T04:11:24.157003Z","submitted_at":"2015-03-09T15:44:49Z","title":"Distilling the Knowledge in a Neural Network","version":1},"cited_work":{"arxiv_id":"1503.02531","doi":"10.1109/cvpr52733.2024.01515","metadata_source":"pith","pith_arxiv_id":"1503.02531","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Distilling the Knowledge in a Neural Network","venue":"stat.ML","work_id":"d927ab1f-17b8-4002-9d09-c3d55764fbad","year":2015},"citing_paper":{"arxiv_id":"2606.08470","last_updated":"2026-06-07T06:27:29Z","snapshot_observed_at":"2026-08-12T13:14:42.221362Z","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":28,"source":"pdf_text","source_observed_at":"2026-06-27T18:40:24.800080Z"},"links":{"cited_paper":"/paper/1503.02531","citing_paper":"/paper/2606.08470"},"observation_digest":"sha256:51a1da368ce5964135e88c6487695b869a58efd98ef96193cb7b4c02165445d8","observation_id":"cf35cc05-8259-4aed-9021-ae093382d0be","resolution":{"observed_at":"2026-07-02T22:47:25.613626Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.13116","last_updated":"2024-10-21T16:22:33Z","snapshot_observed_at":"2026-08-10T17:26:33.432994Z","submitted_at":"2024-02-20T16:17:37Z","title":"A Survey on Knowledge Distillation of Large Language Models","version":4},"cited_work":{"arxiv_id":"2402.13116","doi":"10.48550/arxiv.2402.13116","metadata_source":"pith","pith_arxiv_id":"2402.13116","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"A Survey on Knowledge Distillation of Large Language Models","venue":"cs.CL","work_id":"b1dcdadf-875e-4695-8fcf-0907c69302f3","year":2024},"citing_paper":{"arxiv_id":"2606.08470","last_updated":"2026-06-07T06:27:29Z","snapshot_observed_at":"2026-08-12T13:14:42.221362Z","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":29,"source":"pdf_text","source_observed_at":"2026-06-27T18:40:24.800080Z"},"links":{"cited_paper":"/paper/2402.13116","citing_paper":"/paper/2606.08470"},"observation_digest":"sha256:2e9aa2a9eb03dbba492e8777802a5fe8c30117e3f03529e6c14bc91e91ff1032","observation_id":"534b1b24-734e-4678-a0e6-cde915429f3d","resolution":{"observed_at":"2026-07-02T22:47:25.592739Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-07-11T12:49:12.049248+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-11T12:49:12.049248+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.06978","last_updated":"2024-08-30T03:37:36Z","snapshot_observed_at":"2026-07-06T18:28:42.314877Z","submitted_at":"2024-06-11T06:18:26Z","title":"Hydra-MDP: End-to-end Multimodal Planning with Multi-target Hydra-Distillation","version":4},"cited_work":{"arxiv_id":"2406.06978","doi":null,"metadata_source":"pith","pith_arxiv_id":"2406.06978","snapshot_observed_at":"2026-07-10T08:36:59.824360Z","title":"Hydra-MDP: End-to-end Multimodal Planning with Multi-target Hydra-Distillation","venue":"cs.CV","work_id":"c1e2622d-92db-4a96-aa17-8ef832270ed1","year":2024},"citing_paper":{"arxiv_id":"2606.08470","last_updated":"2026-06-07T06:27:29Z","snapshot_observed_at":"2026-08-12T13:14:42.221362Z","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":30,"source":"pdf_text","source_observed_at":"2026-06-27T18:40:24.800080Z"},"links":{"cited_paper":"/paper/2406.06978","citing_paper":"/paper/2606.08470"},"observation_digest":"sha256:bc02b30b20b1f374e5374864ee3ac36fe6cf0905f514b11591993eb2047faa4a","observation_id":"1297ea49-09b5-4d61-80dc-3952eabb0305","resolution":{"observed_at":"2026-07-02T22:47:25.606152Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T18:40:24.800080Z","title":"DistillDrive: End-to-end multi-mode autonomous driving distillation by isomorphic hetero-source planning model,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2606.08470","last_updated":"2026-06-07T06:27:29Z","snapshot_observed_at":"2026-08-12T13:14:42.221362Z","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":31,"source":"pdf_text","source_observed_at":"2026-06-27T18:40:24.800080Z"},"links":{"citing_paper":"/paper/2606.08470"},"observation_digest":"sha256:ff5719a5c0c27ef97878960dc0a7bd294265d87a03bd14f2bc5782a58883b621","observation_id":"0e0d584d-9c67-4a2a-86e8-37bf7cf59c99","resolution":{"observed_at":"2026-06-27T18:40:24.800080Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T18:40:24.800080Z","title":"Continuously learning, adapting, and improving: A dual-process approach to autonomous driving,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2606.08470","last_updated":"2026-06-07T06:27:29Z","snapshot_observed_at":"2026-08-12T13:14:42.221362Z","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":32,"source":"pdf_text","source_observed_at":"2026-06-27T18:40:24.800080Z"},"links":{"citing_paper":"/paper/2606.08470"},"observation_digest":"sha256:7ed8a7c1c787a3bfe75074ba1e8bd229e0dba955d692a2b4bad37a3d04306448","observation_id":"4d946abd-e2f4-46e1-95e7-0de43710eb72","resolution":{"observed_at":"2026-06-27T18:40:24.800080Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2505.05360","last_updated":"2025-05-08T15:53:34Z","snapshot_observed_at":"2026-08-07T15:48:44.654767Z","submitted_at":"2025-05-08T15:53:34Z","title":"DSDrive: Distilling Large Language Model for Lightweight End-to-End Autonomous Driving with Unified Reasoning and Planning","version":1},"cited_work":{"arxiv_id":"2505.05360","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2505.05360","snapshot_observed_at":"2026-07-02T22:47:25.612914Z","title":"DSDrive: Distilling large language model for lightweight end-to-end autonomous driving with unified reasoning and planning","venue":null,"work_id":"b5ef3d87-d98b-40b5-b0ac-fc3dcad696a2","year":2025},"citing_paper":{"arxiv_id":"2606.08470","last_updated":"2026-06-07T06:27:29Z","snapshot_observed_at":"2026-08-12T13:14:42.221362Z","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":33,"source":"pdf_text","source_observed_at":"2026-06-27T18:40:24.800080Z"},"links":{"cited_paper":"/paper/2505.05360","citing_paper":"/paper/2606.08470"},"observation_digest":"sha256:3c9e1783f80775aa9de927f7713e070bffaec38678c93132993584943b0e1fb3","observation_id":"eb8f7b5c-5614-457c-8da5-0a67fe924c1c","resolution":{"observed_at":"2026-07-02T22:47:25.614334Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T18:40:24.800080Z","title":"DiLu: A knowledge-driven approach to autonomous driving with large language models,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2606.08470","last_updated":"2026-06-07T06:27:29Z","snapshot_observed_at":"2026-08-12T13:14:42.221362Z","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":34,"source":"pdf_text","source_observed_at":"2026-06-27T18:40:24.800080Z"},"links":{"citing_paper":"/paper/2606.08470"},"observation_digest":"sha256:6c6f2aeed0f2e0185ae51ba987712b4792afee2c12a3e040d7ba0620f76757a3","observation_id":"4932d69e-3427-4db9-b73f-2cc64c3805e6","resolution":{"observed_at":"2026-06-27T18:40:24.800080Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2501.08168","last_updated":"2025-01-14T14:49:45Z","snapshot_observed_at":"2026-08-12T16:38:02.794417Z","submitted_at":"2025-01-14T14:49:45Z","title":"LeapVAD: A Leap in Autonomous Driving via Cognitive Perception and Dual-Process Thinking","version":1},"cited_work":{"arxiv_id":"2501.08168","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2501.08168","snapshot_observed_at":"2026-07-02T22:47:25.599781Z","title":"Leap- vad: A leap in autonomous driving via cognitive perception and dual-process thinking","venue":null,"work_id":"73825a5a-9e02-4488-909b-1e200efa7d2a","year":2025},"citing_paper":{"arxiv_id":"2606.08470","last_updated":"2026-06-07T06:27:29Z","snapshot_observed_at":"2026-08-12T13:14:42.221362Z","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":35,"source":"pdf_text","source_observed_at":"2026-06-27T18:40:24.800080Z"},"links":{"cited_paper":"/paper/2501.08168","citing_paper":"/paper/2606.08470"},"observation_digest":"sha256:024a9c04e9447c7dc77fb66bc7b9d8f7a7089e768dd7c648984e27b5a2485084","observation_id":"946bd308-02ad-40b7-af26-6c00e8e6ea8d","resolution":{"observed_at":"2026-07-02T22:47:25.601359Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_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},"cited_work":{"arxiv_id":"2605.25393","doi":null,"metadata_source":"pith","pith_arxiv_id":"2605.25393","snapshot_observed_at":"2026-07-02T22:47:25.588685Z","title":"Decision-Making with Lightweight Confidence-Aware Language Model for Autonomous Driving","venue":"cs.RO","work_id":"c0c18714-8883-422f-aa64-2b847bf44fc8","year":2026},"citing_paper":{"arxiv_id":"2606.08470","last_updated":"2026-06-07T06:27:29Z","snapshot_observed_at":"2026-08-12T13:14:42.221362Z","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":36,"source":"pdf_text","source_observed_at":"2026-06-27T18:40:24.800080Z"},"links":{"cited_paper":"/paper/2605.25393","citing_paper":"/paper/2606.08470"},"observation_digest":"sha256:e608f7e40b457bcccaa401380f8441feb19fbfc7ddcf6aa5e05e62b808685c28","observation_id":"4c4c00f5-59e1-49ff-99f8-4825dda327a9","resolution":{"observed_at":"2026-07-02T22:47:25.589877Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2106.11810","last_updated":"2022-02-04T02:50:02Z","snapshot_observed_at":"2026-08-09T09:38:45.203903Z","submitted_at":"2021-06-22T14:24:55Z","title":"NuPlan: A closed-loop ML-based planning benchmark for autonomous vehicles","version":4},"cited_work":{"arxiv_id":"2106.11810","doi":"10.48550/arxiv.2106.11810","metadata_source":"pith","pith_arxiv_id":"2106.11810","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"NuPlan: A closed-loop ML-based planning benchmark for autonomous vehicles","venue":"cs.CV","work_id":"b16aace6-deff-4546-b333-bcb7c9c07cdb","year":2021},"citing_paper":{"arxiv_id":"2606.08470","last_updated":"2026-06-07T06:27:29Z","snapshot_observed_at":"2026-08-12T13:14:42.221362Z","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":37,"source":"pdf_text","source_observed_at":"2026-06-27T18:40:24.800080Z"},"links":{"cited_paper":"/paper/2106.11810","citing_paper":"/paper/2606.08470"},"observation_digest":"sha256:fb8ee1c17a07a8f722fe004ed01bad9884447a0b37fd5788fea6242de3213239","observation_id":"c0fe96a7-2cfc-4a8a-a7cb-2cc2daf8c4a6","resolution":{"observed_at":"2026-07-02T22:47:25.595335Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T18:40:24.800080Z","title":"A behavioral planning framework for autonomous driving,","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2606.08470","last_updated":"2026-06-07T06:27:29Z","snapshot_observed_at":"2026-08-12T13:14:42.221362Z","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":38,"source":"pdf_text","source_observed_at":"2026-06-27T18:40:24.800080Z"},"links":{"citing_paper":"/paper/2606.08470"},"observation_digest":"sha256:f24245c747ebef52a90787b35fb0645aaa45f2691fb80b84633ec46c9fbe5393","observation_id":"4ceb4c61-d4de-4120-bef3-ccc98569f8ed","resolution":{"observed_at":"2026-06-27T18:40:24.800080Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T18:40:24.800080Z","title":"A universal cooperative decision- making framework for connected autonomous vehicles with generic road topologies,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2606.08470","last_updated":"2026-06-07T06:27:29Z","snapshot_observed_at":"2026-08-12T13:14:42.221362Z","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":39,"source":"pdf_text","source_observed_at":"2026-06-27T18:40:24.800080Z"},"links":{"citing_paper":"/paper/2606.08470"},"observation_digest":"sha256:06c7b71a8ceb6bc86271bf4d4443255cc1e32e5e43da72477e69080d0116f8e0","observation_id":"dec35081-8d67-40c8-8c16-19c096c94ad9","resolution":{"observed_at":"2026-06-27T18:40:24.800080Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T18:40:24.800080Z","title":"A safe hierarchical planning framework for complex driving scenarios based on reinforce- ment learning,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2606.08470","last_updated":"2026-06-07T06:27:29Z","snapshot_observed_at":"2026-08-12T13:14:42.221362Z","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":40,"source":"pdf_text","source_observed_at":"2026-06-27T18:40:24.800080Z"},"links":{"citing_paper":"/paper/2606.08470"},"observation_digest":"sha256:8bed18b385f3440f499f477f94ddf2b6bca902c2c2993d99fdb0da7500a95b1b","observation_id":"4c9acb6f-5fc7-4f75-9402-5b5a14278767","resolution":{"observed_at":"2026-06-27T18:40:24.800080Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T18:40:24.800080Z","title":"Conditional predictive behavior planning with inverse reinforcement learning for human-like autonomous driving,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2606.08470","last_updated":"2026-06-07T06:27:29Z","snapshot_observed_at":"2026-08-12T13:14:42.221362Z","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":41,"source":"pdf_text","source_observed_at":"2026-06-27T18:40:24.800080Z"},"links":{"citing_paper":"/paper/2606.08470"},"observation_digest":"sha256:c794631d89e8182eef33c3cfe9cb9dd26b5dfb94cfdeee1179481b165d073e80","observation_id":"6600a10f-1d50-4058-9837-d93d5c284f64","resolution":{"observed_at":"2026-06-27T18:40:24.800080Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T18:40:24.800080Z","title":"Is ego status all you need for open-loop end-to-end autonomous driving?,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2606.08470","last_updated":"2026-06-07T06:27:29Z","snapshot_observed_at":"2026-08-12T13:14:42.221362Z","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":42,"source":"pdf_text","source_observed_at":"2026-06-27T18:40:24.800080Z"},"links":{"citing_paper":"/paper/2606.08470"},"observation_digest":"sha256:13c78adbb3107bfc71674a1bde2726771c068398ab08add97e6a1aa020819260","observation_id":"a032c2af-3fd6-4eeb-83d8-19c653fa4e05","resolution":{"observed_at":"2026-06-27T18:40:24.800080Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2503.23463","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-10T08:36:59.848781Z","title":"Opendrivevla: Towards end-to-end au- tonomous driving with large vision language action model","venue":null,"work_id":"67021d38-441c-4135-9cf6-081c176c598c","year":2025},"citing_paper":{"arxiv_id":"2606.08470","last_updated":"2026-06-07T06:27:29Z","snapshot_observed_at":"2026-08-12T13:14:42.221362Z","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":43,"source":"pdf_text","source_observed_at":"2026-06-27T18:40:24.800080Z"},"links":{"citing_paper":"/paper/2606.08470"},"observation_digest":"sha256:a8eaeb68477ce8e1dd3233729d8679a553c1da6e00d5c50b922610de188684cb","observation_id":"cb7c0af4-0534-4ec8-9c68-078b17f71f04","resolution":{"observed_at":"2026-07-02T22:47:25.580180Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T18:40:24.800080Z","title":"Can LLMs express their uncertainty? An empirical evaluation of confidence elicitation in LLMs,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2606.08470","last_updated":"2026-06-07T06:27:29Z","snapshot_observed_at":"2026-08-12T13:14:42.221362Z","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":44,"source":"pdf_text","source_observed_at":"2026-06-27T18:40:24.800080Z"},"links":{"citing_paper":"/paper/2606.08470"},"observation_digest":"sha256:2f4632312c01a770f8fde95ae59f52ab2b4e2806956c8be6c54216a3aecc7cab","observation_id":"ae5d81b7-d8bd-43f4-8303-5c3b7ed270ff","resolution":{"observed_at":"2026-06-27T18:40:24.800080Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T18:40:24.800080Z","title":"Conformity in large language models,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2606.08470","last_updated":"2026-06-07T06:27:29Z","snapshot_observed_at":"2026-08-12T13:14:42.221362Z","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":45,"source":"pdf_text","source_observed_at":"2026-06-27T18:40:24.800080Z"},"links":{"citing_paper":"/paper/2606.08470"},"observation_digest":"sha256:c1d76f5f995b179e5dfdc4617fd564c6af8a3216386123314d8f481b631b52e0","observation_id":"e112b490-d968-4660-a532-94c43601410e","resolution":{"observed_at":"2026-06-27T18:40:24.800080Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T18:40:24.800080Z","title":"What language model architecture and pretraining objective works best for zero-shot generalization?,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2606.08470","last_updated":"2026-06-07T06:27:29Z","snapshot_observed_at":"2026-08-12T13:14:42.221362Z","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":46,"source":"pdf_text","source_observed_at":"2026-06-27T18:40:24.800080Z"},"links":{"citing_paper":"/paper/2606.08470"},"observation_digest":"sha256:c9de9c8cf833a86a5cc01189872a3d5e3b7be27dc04de37a860635450b7c4535","observation_id":"3869eeed-23e8-40e7-8792-f0d0b6b0d283","resolution":{"observed_at":"2026-06-27T18:40:24.800080Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T18:40:24.800080Z","title":"Parting with misconceptions about learning-based vehicle motion planning,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2606.08470","last_updated":"2026-06-07T06:27:29Z","snapshot_observed_at":"2026-08-12T13:14:42.221362Z","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":47,"source":"pdf_text","source_observed_at":"2026-06-27T18:40:24.800080Z"},"links":{"citing_paper":"/paper/2606.08470"},"observation_digest":"sha256:7a38b80240ee86829157f26e71a4bcf849994df34136121f50c0067527cb13e7","observation_id":"1b1f74d1-87a3-4897-a281-ca027160f135","resolution":{"observed_at":"2026-06-27T18:40:24.800080Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T18:40:24.800080Z","title":"Diffusion-ES: Gradient-free planning with diffusion for autonomous and instruction-guided driving,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2606.08470","last_updated":"2026-06-07T06:27:29Z","snapshot_observed_at":"2026-08-12T13:14:42.221362Z","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":48,"source":"pdf_text","source_observed_at":"2026-06-27T18:40:24.800080Z"},"links":{"citing_paper":"/paper/2606.08470"},"observation_digest":"sha256:8874cbae6a9b4a37c108350783238b804ddab78f17dc056f417b4be6d3dcd9d3","observation_id":"8698b6a5-6f61-4a6a-a65b-f7951884ce20","resolution":{"observed_at":"2026-06-27T18:40:24.800080Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T18:40:24.800080Z","title":"Rethinking imitation-based planners for autonomous driving,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2606.08470","last_updated":"2026-06-07T06:27:29Z","snapshot_observed_at":"2026-08-12T13:14:42.221362Z","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":49,"source":"pdf_text","source_observed_at":"2026-06-27T18:40:24.800080Z"},"links":{"citing_paper":"/paper/2606.08470"},"observation_digest":"sha256:398a2fd70427cd77b5885755b0d1c9f859e67cf7e7be3bb000ad5fea90f01cc9","observation_id":"f30a6256-2259-4517-97f0-f9705642d064","resolution":{"observed_at":"2026-06-27T18:40:24.800080Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T18:40:24.800080Z","title":"Generalized force model of traffic dynamics,","venue":null,"work_id":null,"year":1998},"citing_paper":{"arxiv_id":"2606.08470","last_updated":"2026-06-07T06:27:29Z","snapshot_observed_at":"2026-08-12T13:14:42.221362Z","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":50,"source":"pdf_text","source_observed_at":"2026-06-27T18:40:24.800080Z"},"links":{"citing_paper":"/paper/2606.08470"},"observation_digest":"sha256:9832f830989a4b464a0871992623fb62ab38d363b2bf71b038628e88f7b7762f","observation_id":"bfd773b3-1f78-477b-99c5-bb726fc72b68","resolution":{"observed_at":"2026-06-27T18:40:24.800080Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T18:40:24.800080Z","title":"Are vlms ready for autonomous driving? an empirical study from the reliability, data and metric perspectives,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2606.08470","last_updated":"2026-06-07T06:27:29Z","snapshot_observed_at":"2026-08-12T13:14:42.221362Z","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":51,"source":"pdf_text","source_observed_at":"2026-06-27T18:40:24.800080Z"},"links":{"citing_paper":"/paper/2606.08470"},"observation_digest":"sha256:46c7b96d54c7dfd4009a6afe2263ce9636e313b462f08a392e283c9655c20dfa","observation_id":"c55819b4-15a0-4bf5-b568-f6700257de89","resolution":{"observed_at":"2026-06-27T18:40:24.800080Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T18:40:24.800080Z","title":"From prediction to planning with goal conditioned lane graph traversals,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2606.08470","last_updated":"2026-06-07T06:27:29Z","snapshot_observed_at":"2026-08-12T13:14:42.221362Z","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":52,"source":"pdf_text","source_observed_at":"2026-06-27T18:40:24.800080Z"},"links":{"citing_paper":"/paper/2606.08470"},"observation_digest":"sha256:d99ceeb6d6b474cdf0c16b217018719ad916b87f15257f1b7e9f5f30dfa40721","observation_id":"5bf72fd0-b985-4753-9077-29112c0d653b","resolution":{"observed_at":"2026-06-27T18:40:24.800080Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T18:40:24.800080Z","title":"Urban Driver: Learning to drive from real-world demonstrations using policy gradients,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2606.08470","last_updated":"2026-06-07T06:27:29Z","snapshot_observed_at":"2026-08-12T13:14:42.221362Z","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":53,"source":"pdf_text","source_observed_at":"2026-06-27T18:40:24.800080Z"},"links":{"citing_paper":"/paper/2606.08470"},"observation_digest":"sha256:dcaf020f2e98429fb8af70693bd4bf6f552e057d8eae21caffa540aeae7b75a0","observation_id":"01165352-b4cd-4fab-8306-ac623c532991","resolution":{"observed_at":"2026-06-27T18:40:24.800080Z","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":"2026-08-12T23:51:16.134770Z","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":"2026-08-12T13:14:42.221362Z","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":"sha256:32aaae687240ed1ab527ae0ef1526c4587c639162f306d1b8d8176261a79d2c6","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 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2412.19437","last_updated":"2025-02-18T17:26:38Z","snapshot_observed_at":"2026-08-11T01:48:59.557045Z","submitted_at":"2024-12-27T04:03:16Z","title":"DeepSeek-V3 Technical Report","version":2},"cited_work":{"arxiv_id":"2412.19437","doi":"10.1016/j.neucom.2023.127063.url:https://www.sciencedirect","metadata_source":"pith","pith_arxiv_id":"2412.19437","snapshot_observed_at":"2026-07-11T11:50:26.030339Z","title":"DeepSeek-V3 Technical Report","venue":"cs.CL","work_id":"57d2791d-2219-4c31-a077-afc04b12a75c","year":2024},"citing_paper":{"arxiv_id":"2606.08470","last_updated":"2026-06-07T06:27:29Z","snapshot_observed_at":"2026-08-12T13:14:42.221362Z","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":55,"source":"pdf_text","source_observed_at":"2026-06-27T18:40:24.800080Z"},"links":{"cited_paper":"/paper/2412.19437","citing_paper":"/paper/2606.08470"},"observation_digest":"sha256:bd18185b1cdb09dde0b90414e4b1bfa976b90be88fbcccb1c2cc8e0806164712","observation_id":"75f63bba-3312-4ff0-a011-e1756d07de87","resolution":{"observed_at":"2026-07-02T22:47:25.603880Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2501.12948","last_updated":"2026-01-04T03:57:36Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-01-22T15:19:35Z","title":"DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning","version":2},"cited_work":{"arxiv_id":"2501.12948","doi":"10.1016/j.artmed.2024.103001","metadata_source":"pith","pith_arxiv_id":"2501.12948","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning","venue":"cs.CL","work_id":"e6b75ad5-2877-4168-97c8-710407094d20","year":2025},"citing_paper":{"arxiv_id":"2606.08470","last_updated":"2026-06-07T06:27:29Z","snapshot_observed_at":"2026-08-12T13:14:42.221362Z","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":56,"source":"pdf_text","source_observed_at":"2026-06-27T18:40:24.800080Z"},"links":{"cited_paper":"/paper/2501.12948","citing_paper":"/paper/2606.08470"},"observation_digest":"sha256:455c5c954dca66dd84845ef05dbab3f2b45c0a453bb7a5ce4f57d170ffff81ea","observation_id":"94eb25e8-8348-42e1-afe0-46b7315abfeb","resolution":{"observed_at":"2026-07-02T22:47:25.590041Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2606.08470","last_updated":"2026-06-07T06:27:29Z","latest_version":1,"primary_category":"cs.RO","snapshot_observed_at":"2026-08-12T13:14:42.221362Z","submitted_at":"2026-06-07T06:27:29Z","title":"LUNA-AD: Lightweight Uncertainty-Aware Language Model with Lifelong Learning for Autonomous Driving"},"reference_resolution":{"displayed":56,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":35,"verified_exact":21,"verified_fuzzy":0},"total_outbound_references":56},"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":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"thesis":"As of 13 August 2026, this Paper Citation Record lists 56 of 56 outbound references and 0 inbound Pith citation observations for arXiv:2606.08470."}