{"as_of":"2026-08-14T17:16:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:e3442b7b724b241f110eea5458ecb0d47169e800401136ef336f88d433dcb7eb","coverage":[{"denominator":31,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":31,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-12T19:34:35.005733Z","state":"measured"},{"denominator":31,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":31,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-14T06:32:32.682623+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/2411.10603/citation-record","integrity":"/paper/2411.10603/integrity","json":"/paper/2411.10603/citation-record.json","paper":"/paper/2411.10603"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T19:34:35.891289Z","title":"A survey on evaluation of large language models,","venue":null,"work_id":"014c8d66-4b6d-4d3e-b384-3bfde7e21835","year":2024},"citing_paper":{"arxiv_id":"2411.10603","last_updated":"2024-11-15T21:53:41Z","snapshot_observed_at":"2026-08-14T11:49:28.094837Z","submitted_at":"2024-11-15T21:53:41Z","title":"A Novel MLLM-based Approach for Autonomous Driving in Different Weather Conditions","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-12T19:34:34.687090Z"},"links":{"citing_paper":"/paper/2411.10603"},"observation_digest":"sha256:ef1fd5ff4d76c779736b816868bdc9b8c5b2e30d107ceac7d87f32c59e8a4d8e","observation_id":"ba8d9f54-9cf3-453d-b7f8-0bfccca32b81","resolution":{"observed_at":"2026-08-12T19:34:35.897569Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2409.10484","last_updated":"2024-09-16T17:20:23Z","snapshot_observed_at":"2026-08-12T22:43:51.676653Z","submitted_at":"2024-09-16T17:20:23Z","title":"XLM for Autonomous Driving Systems: A Comprehensive Review","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.10484","snapshot_observed_at":"2026-08-12T19:34:34.694620Z","title":"XLM for au- tonomous driving systems: A comprehensive review,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.10603","last_updated":"2024-11-15T21:53:41Z","snapshot_observed_at":"2026-08-14T11:49:28.094837Z","submitted_at":"2024-11-15T21:53:41Z","title":"A Novel MLLM-based Approach for Autonomous Driving in Different Weather Conditions","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-12T19:34:34.694620Z"},"links":{"cited_paper":"/paper/2409.10484","citing_paper":"/paper/2411.10603"},"observation_digest":"sha256:103f5da5a6711d99f00a4ca8ea197a8eabf0c51242e83dda109c2e0b1b5de651","observation_id":"2f648c02-f363-4f41-8e88-6f418280b1dc","resolution":{"observed_at":"2026-08-12T19:34:34.694620Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2401.06805","last_updated":"2024-01-18T07:31:47Z","snapshot_observed_at":"2026-08-14T17:00:06.251776Z","submitted_at":"2024-01-10T15:29:21Z","title":"Exploring the Reasoning Abilities of Multimodal Large Language Models (MLLMs): A Comprehensive Survey on Emerging Trends in Multimodal Reasoning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.06805","snapshot_observed_at":"2026-08-12T19:34:34.703806Z","title":"Exploring the reasoning abilities of multimodal large language models (MLLMs): A comprehensive survey on emerging trends in multimodal reasoning,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.10603","last_updated":"2024-11-15T21:53:41Z","snapshot_observed_at":"2026-08-14T11:49:28.094837Z","submitted_at":"2024-11-15T21:53:41Z","title":"A Novel MLLM-based Approach for Autonomous Driving in Different Weather Conditions","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-12T19:34:34.703806Z"},"links":{"cited_paper":"/paper/2401.06805","citing_paper":"/paper/2411.10603"},"observation_digest":"sha256:a5bc749ba74cab775a0d8b29839d7c8ee213b713a0ab59dee8565344ee4f9feb","observation_id":"bb769329-767d-4a5c-ab14-e622afe1e33a","resolution":{"observed_at":"2026-08-12T19:34:34.703806Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T19:34:35.871206Z","title":"A survey on multimodal large language models for autonomous driving,","venue":null,"work_id":"3094e8d6-c5e6-4097-80e3-e1649332acc0","year":2024},"citing_paper":{"arxiv_id":"2411.10603","last_updated":"2024-11-15T21:53:41Z","snapshot_observed_at":"2026-08-14T11:49:28.094837Z","submitted_at":"2024-11-15T21:53:41Z","title":"A Novel MLLM-based Approach for Autonomous Driving in Different Weather Conditions","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-12T19:34:34.709769Z"},"links":{"citing_paper":"/paper/2411.10603"},"observation_digest":"sha256:6955ec54b16837cc261f61d688d41c23987da87d27978d24b09e1a708a23ecdb","observation_id":"30f06fa5-b2f0-4c01-b86b-690538f68218","resolution":{"observed_at":"2026-08-12T19:34:35.878795Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2309.16292","last_updated":"2024-02-22T03:24:26Z","snapshot_observed_at":"2026-08-13T10:03:17.135048Z","submitted_at":"2023-09-28T09:41:35Z","title":"DiLu: A Knowledge-Driven Approach to Autonomous Driving with Large Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.16292","snapshot_observed_at":"2026-08-12T19:34:34.715017Z","title":"Dilu: A knowledge-driven approach to autonomous driving with large language models,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2411.10603","last_updated":"2024-11-15T21:53:41Z","snapshot_observed_at":"2026-08-14T11:49:28.094837Z","submitted_at":"2024-11-15T21:53:41Z","title":"A Novel MLLM-based Approach for Autonomous Driving in Different Weather Conditions","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-12T19:34:34.715017Z"},"links":{"cited_paper":"/paper/2309.16292","citing_paper":"/paper/2411.10603"},"observation_digest":"sha256:9cd0c54e11b0c1d74cc1992ce028989768c17c87df90a84312e941cf8fa41fcf","observation_id":"0d995ad8-19d8-4def-bee1-117f9f63204d","resolution":{"observed_at":"2026-08-12T19:34:34.715017Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2309.05186","last_updated":"2025-03-24T07:07:59Z","snapshot_observed_at":"2026-08-13T10:16:59.161217Z","submitted_at":"2023-09-11T01:24:13Z","title":"HiLM-D: Enhancing MLLMs with Multi-Scale High-Resolution Details for Autonomous Driving","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.05186","snapshot_observed_at":"2026-08-12T19:34:34.722115Z","title":"HiLM-D: Towards high-resolution understanding in multimodal large language models for autonomous driving,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2411.10603","last_updated":"2024-11-15T21:53:41Z","snapshot_observed_at":"2026-08-14T11:49:28.094837Z","submitted_at":"2024-11-15T21:53:41Z","title":"A Novel MLLM-based Approach for Autonomous Driving in Different Weather Conditions","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-12T19:34:34.722115Z"},"links":{"cited_paper":"/paper/2309.05186","citing_paper":"/paper/2411.10603"},"observation_digest":"sha256:2287050957625229a732f4a0de6149b7fb462cfb42dab208d58d425e8f317888","observation_id":"8ce45ebf-ca24-4dbd-9750-a0d514315128","resolution":{"observed_at":"2026-08-12T19:34:34.722115Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T19:34:35.849312Z","title":"RAG-Driver: Generalisable driving explanations with retrieval-augmented in-context learning in multi-modal large language model,","venue":null,"work_id":"1651962b-0a1f-4c22-bfaf-7f9f17c7a2d2","year":2024},"citing_paper":{"arxiv_id":"2411.10603","last_updated":"2024-11-15T21:53:41Z","snapshot_observed_at":"2026-08-14T11:49:28.094837Z","submitted_at":"2024-11-15T21:53:41Z","title":"A Novel MLLM-based Approach for Autonomous Driving in Different Weather Conditions","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-12T19:34:34.728386Z"},"links":{"citing_paper":"/paper/2411.10603"},"observation_digest":"sha256:6ec6bb6908ae14f55b0cb428c1bf8817398c7d38beb81af9c05bdbc8692aa844","observation_id":"877b2f3e-bf52-473f-add5-161831b4c784","resolution":{"observed_at":"2026-08-12T19:34:35.856033Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2403.16996","last_updated":"2024-03-25T17:59:01Z","snapshot_observed_at":"2026-08-13T00:45:25.533602Z","submitted_at":"2024-03-25T17:59:01Z","title":"DriveCoT: Integrating Chain-of-Thought Reasoning with End-to-End Driving","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.16996","snapshot_observed_at":"2026-08-12T19:34:34.733534Z","title":"Drivecot: Integrating chain-of-thought reasoning with end-to-end driving,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.10603","last_updated":"2024-11-15T21:53:41Z","snapshot_observed_at":"2026-08-14T11:49:28.094837Z","submitted_at":"2024-11-15T21:53:41Z","title":"A Novel MLLM-based Approach for Autonomous Driving in Different Weather Conditions","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-12T19:34:34.733534Z"},"links":{"cited_paper":"/paper/2403.16996","citing_paper":"/paper/2411.10603"},"observation_digest":"sha256:50bc750c32243c151f1e3e93e942df795dcf6abb6520f49e9c48ce826d0dc905","observation_id":"51646a8c-1a20-4a7b-919d-21380fb5255d","resolution":{"observed_at":"2026-08-12T19:34:34.733534Z","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":"2026-08-12T19:34:34.740645Z","title":"DriveMLM: Aligning multi-modal large language models with behavioral planning states for autonomous driving,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2411.10603","last_updated":"2024-11-15T21:53:41Z","snapshot_observed_at":"2026-08-14T11:49:28.094837Z","submitted_at":"2024-11-15T21:53:41Z","title":"A Novel MLLM-based Approach for Autonomous Driving in Different Weather Conditions","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-12T19:34:34.740645Z"},"links":{"citing_paper":"/paper/2411.10603"},"observation_digest":"sha256:aa23af4570a17f3886d955481cdb775d38db89fe2f689b77284d0ece59ded658","observation_id":"3e9e33ec-054a-4a1a-9e41-c70ddc04dfb7","resolution":{"observed_at":"2026-08-12T19:34:34.740645Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T19:34:35.824196Z","title":"DriVLMe: Ex- ploring foundation models as autonomous driving agents that perceive, communicate, and navigate,","venue":null,"work_id":"a1e35334-f153-4294-8f46-731e2b32cf9c","year":2024},"citing_paper":{"arxiv_id":"2411.10603","last_updated":"2024-11-15T21:53:41Z","snapshot_observed_at":"2026-08-14T11:49:28.094837Z","submitted_at":"2024-11-15T21:53:41Z","title":"A Novel MLLM-based Approach for Autonomous Driving in Different Weather Conditions","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-12T19:34:34.747574Z"},"links":{"citing_paper":"/paper/2411.10603"},"observation_digest":"sha256:d5e7fd5c98f8dd5b8728c48ef5fa767f17ef10dc61b50b889a1fad420c2bb33c","observation_id":"44ed7eec-afe6-4c45-86c4-211303a2e442","resolution":{"observed_at":"2026-08-12T19:34:35.831405Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T19:34:35.805373Z","title":"VLM2Scene: Self-supervised image-text- LiDAR learning with foundation models for autonomous driving scene understanding,","venue":null,"work_id":"75435580-651c-467d-be52-db3623ffe223","year":2024},"citing_paper":{"arxiv_id":"2411.10603","last_updated":"2024-11-15T21:53:41Z","snapshot_observed_at":"2026-08-14T11:49:28.094837Z","submitted_at":"2024-11-15T21:53:41Z","title":"A Novel MLLM-based Approach for Autonomous Driving in Different Weather Conditions","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-12T19:34:34.752801Z"},"links":{"citing_paper":"/paper/2411.10603"},"observation_digest":"sha256:d7a37516e2859bc23fb01929f341de3654e67d7601a82891f75c6a20dac7b322","observation_id":"1a0cc6b2-c173-40ff-ba33-08e6c923abe7","resolution":{"observed_at":"2026-08-12T19:34:35.811880Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2405.01533","last_updated":"2025-04-16T15:12:21Z","snapshot_observed_at":"2026-08-14T09:45:48.864445Z","submitted_at":"2024-05-02T17:59:24Z","title":"OmniDrive: A Holistic Vision-Language Dataset for Autonomous Driving with Counterfactual Reasoning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.01533","snapshot_observed_at":"2026-08-12T19:34:34.759566Z","title":"OmniDrive: A holistic LLM-agent framework for autonomous driving with 3D perception, reasoning and planning,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.10603","last_updated":"2024-11-15T21:53:41Z","snapshot_observed_at":"2026-08-14T11:49:28.094837Z","submitted_at":"2024-11-15T21:53:41Z","title":"A Novel MLLM-based Approach for Autonomous Driving in Different Weather Conditions","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-12T19:34:34.759566Z"},"links":{"cited_paper":"/paper/2405.01533","citing_paper":"/paper/2411.10603"},"observation_digest":"sha256:c6c88e8e48accba66521d4dbf8d058f32203a60a9f542cf6c8735d7d3e71fa1b","observation_id":"18826c63-a67b-4e33-8661-32cbb76b8d23","resolution":{"observed_at":"2026-08-12T19:34:34.759566Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.08570","last_updated":"2024-04-12T16:13:10Z","snapshot_observed_at":"2026-08-13T00:31:11.326902Z","submitted_at":"2024-04-12T16:13:10Z","title":"Enhancing Autonomous Vehicle Training with Language Model Integration and Critical Scenario Generation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.08570","snapshot_observed_at":"2026-08-12T19:34:34.765424Z","title":"Enhancing autonomous vehicle training with language model integra- tion and critical scenario generation,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.10603","last_updated":"2024-11-15T21:53:41Z","snapshot_observed_at":"2026-08-14T11:49:28.094837Z","submitted_at":"2024-11-15T21:53:41Z","title":"A Novel MLLM-based Approach for Autonomous Driving in Different Weather Conditions","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-12T19:34:34.765424Z"},"links":{"cited_paper":"/paper/2404.08570","citing_paper":"/paper/2411.10603"},"observation_digest":"sha256:8bd9d12da1bbd6278c8799bb70d0e6b7f4da0fbb0b99e9d4917e9f4b7cb41070","observation_id":"e6838e69-14b0-421e-bb3c-c3b8ffa045a9","resolution":{"observed_at":"2026-08-12T19:34:34.765424Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T19:34:35.787661Z","title":"A language agent for autonomous driving,","venue":null,"work_id":"d7a47b81-0973-4482-81f0-47e2ddd69458","year":2024},"citing_paper":{"arxiv_id":"2411.10603","last_updated":"2024-11-15T21:53:41Z","snapshot_observed_at":"2026-08-14T11:49:28.094837Z","submitted_at":"2024-11-15T21:53:41Z","title":"A Novel MLLM-based Approach for Autonomous Driving in Different Weather Conditions","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-12T19:34:34.771434Z"},"links":{"citing_paper":"/paper/2411.10603"},"observation_digest":"sha256:340a5d7ee32ceb162a3028471e373e0b846b5e0fd4d590e7e234066eb5886431","observation_id":"dc2bb731-72e5-45a3-b67c-38b58a3e448b","resolution":{"observed_at":"2026-08-12T19:34:35.792829Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T19:34:35.768101Z","title":"Feedback-guided autonomous driving,","venue":null,"work_id":"ce7ee862-1964-4e19-9bb0-9ade36c13256","year":2024},"citing_paper":{"arxiv_id":"2411.10603","last_updated":"2024-11-15T21:53:41Z","snapshot_observed_at":"2026-08-14T11:49:28.094837Z","submitted_at":"2024-11-15T21:53:41Z","title":"A Novel MLLM-based Approach for Autonomous Driving in Different Weather Conditions","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-12T19:34:34.777373Z"},"links":{"citing_paper":"/paper/2411.10603"},"observation_digest":"sha256:e0cfcf246e22ab2c72fd1fdf7b164c41147b0908e5ef631c04f86d11317e27cd","observation_id":"3f815be1-cda0-4131-aee6-93b0265b9e0a","resolution":{"observed_at":"2026-08-12T19:34:35.773671Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T19:34:35.745956Z","title":"Lever- aging multimodal large language models (MLLMs) for enhanced object detection and scene understanding in thermal images for autonomous driving systems,","venue":null,"work_id":"13c22a44-48e5-4f30-94b7-c80b33021258","year":2024},"citing_paper":{"arxiv_id":"2411.10603","last_updated":"2024-11-15T21:53:41Z","snapshot_observed_at":"2026-08-14T11:49:28.094837Z","submitted_at":"2024-11-15T21:53:41Z","title":"A Novel MLLM-based Approach for Autonomous Driving in Different Weather Conditions","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-12T19:34:34.782763Z"},"links":{"citing_paper":"/paper/2411.10603"},"observation_digest":"sha256:ee8328123f9bf9eb9f8920157941773cdd00ff96fa7f6fe8f477ea99835efbda","observation_id":"95a88943-3df8-4767-af33-76fb3b2a43e6","resolution":{"observed_at":"2026-08-12T19:34:35.754701Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T19:34:35.726565Z","title":"Delving into multi-modal multi- task foundation models for road scene understanding: From learning paradigm perspectives,","venue":null,"work_id":"61c6a7c0-3332-4675-a6d3-d597044a0e9d","year":2024},"citing_paper":{"arxiv_id":"2411.10603","last_updated":"2024-11-15T21:53:41Z","snapshot_observed_at":"2026-08-14T11:49:28.094837Z","submitted_at":"2024-11-15T21:53:41Z","title":"A Novel MLLM-based Approach for Autonomous Driving in Different Weather Conditions","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-12T19:34:34.788580Z"},"links":{"citing_paper":"/paper/2411.10603"},"observation_digest":"sha256:0ddc4d0a1694f28a8f9f3dcc15d881337d09230092b4aaf74bcaa9af6f87a294","observation_id":"a72f501c-0ce0-4409-9826-9339c80f0d25","resolution":{"observed_at":"2026-08-12T19:34:35.732674Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.09781","last_updated":"2024-07-13T05:39:17Z","snapshot_observed_at":"2026-08-12T23:23:00.040837Z","submitted_at":"2024-07-13T05:39:17Z","title":"Dense Multimodal Alignment for Open-Vocabulary 3D Scene Understanding","version":1},"cited_work":{"arxiv_id":"2407.09781","doi":null,"metadata_source":"pith","pith_arxiv_id":"2407.09781","snapshot_observed_at":"2026-08-12T19:34:35.198126Z","title":"Dense Multimodal Alignment for Open-Vocabulary 3D Scene Understanding","venue":"cs.CV","work_id":"517783dd-cf41-4792-8733-d15dd144b20b","year":2024},"citing_paper":{"arxiv_id":"2411.10603","last_updated":"2024-11-15T21:53:41Z","snapshot_observed_at":"2026-08-14T11:49:28.094837Z","submitted_at":"2024-11-15T21:53:41Z","title":"A Novel MLLM-based Approach for Autonomous Driving in Different Weather Conditions","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-12T19:34:34.793983Z"},"links":{"cited_paper":"/paper/2407.09781","citing_paper":"/paper/2411.10603"},"observation_digest":"sha256:d8f4006f4a328551efea66031a560a1d1053752950f1b49748aa87da622af18e","observation_id":"d80ff3cb-324b-4552-8532-cca57acc3f35","resolution":{"observed_at":"2026-08-12T19:34:35.205821Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T19:34:35.704513Z","title":"DriveGPT4: Interpretable end-to-end autonomous driving via large language model,","venue":null,"work_id":"bd314c97-0a73-483c-ba35-52c2b78d934d","year":2024},"citing_paper":{"arxiv_id":"2411.10603","last_updated":"2024-11-15T21:53:41Z","snapshot_observed_at":"2026-08-14T11:49:28.094837Z","submitted_at":"2024-11-15T21:53:41Z","title":"A Novel MLLM-based Approach for Autonomous Driving in Different Weather Conditions","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-12T19:34:34.799349Z"},"links":{"citing_paper":"/paper/2411.10603"},"observation_digest":"sha256:322a1a76cc3a86ca1e7c7f0ad548c2d7589614111ca1d1b47824985000582923","observation_id":"fc35353e-b16c-42d9-b857-a71ab5f7cede","resolution":{"observed_at":"2026-08-12T19:34:35.711649Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T19:34:35.684957Z","title":"Receive, reason, and react: Drive as you say, with large language models in autonomous vehicles,","venue":null,"work_id":"3af09157-8410-4efd-8f2b-1e35d745f4bc","year":2024},"citing_paper":{"arxiv_id":"2411.10603","last_updated":"2024-11-15T21:53:41Z","snapshot_observed_at":"2026-08-14T11:49:28.094837Z","submitted_at":"2024-11-15T21:53:41Z","title":"A Novel MLLM-based Approach for Autonomous Driving in Different Weather Conditions","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-12T19:34:34.944564Z"},"links":{"citing_paper":"/paper/2411.10603"},"observation_digest":"sha256:da3255ce18404110a57e399ac027eb70b78b99aac4aab161c0c37e0e951b1b24","observation_id":"38cb7aaf-96a6-4a9b-b384-f8f6d1e95806","resolution":{"observed_at":"2026-08-12T19:34:35.690521Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2408.02503","last_updated":"2024-08-05T14:27:39Z","snapshot_observed_at":"2026-08-14T11:49:04.827465Z","submitted_at":"2024-08-05T14:27:39Z","title":"UnifiedMLLM: Enabling Unified Representation for Multi-modal Multi-tasks With Large Language Model","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.02503","snapshot_observed_at":"2026-08-12T19:34:34.950153Z","title":"UnifiedMLLM: Enabling unified representation for multi-modal multi-tasks with large language model,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.10603","last_updated":"2024-11-15T21:53:41Z","snapshot_observed_at":"2026-08-14T11:49:28.094837Z","submitted_at":"2024-11-15T21:53:41Z","title":"A Novel MLLM-based Approach for Autonomous Driving in Different Weather Conditions","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-12T19:34:34.950153Z"},"links":{"cited_paper":"/paper/2408.02503","citing_paper":"/paper/2411.10603"},"observation_digest":"sha256:e8c6763da75fac0b86462ac521c0f5757a7cb2a83884d019fda1ad54aee5162a","observation_id":"066b352f-3b2e-44b5-83c9-b5f6d447ac7b","resolution":{"observed_at":"2026-08-12T19:34:34.950153Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T19:34:35.665969Z","title":"MLLM applied to autonomous driving across vari- ous weather conditions,","venue":null,"work_id":"e40ee6cc-43b6-49f4-8471-16e0551a6c1b","year":2024},"citing_paper":{"arxiv_id":"2411.10603","last_updated":"2024-11-15T21:53:41Z","snapshot_observed_at":"2026-08-14T11:49:28.094837Z","submitted_at":"2024-11-15T21:53:41Z","title":"A Novel MLLM-based Approach for Autonomous Driving in Different Weather Conditions","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-12T19:34:34.956199Z"},"links":{"citing_paper":"/paper/2411.10603"},"observation_digest":"sha256:4a085f913e3bfd729b4a0fa894716482f514ecce5931ecbd516f7a34b974be7b","observation_id":"58c3fdd8-65a2-4064-9136-57a08991f5e0","resolution":{"observed_at":"2026-08-12T19:34:35.672453Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T19:34:35.645865Z","title":"GPT-4o: The cutting-edge advancement in multimodal LLM,","venue":null,"work_id":"1fdbbe5e-9e91-4566-8e3b-2adfadc233fc","year":2024},"citing_paper":{"arxiv_id":"2411.10603","last_updated":"2024-11-15T21:53:41Z","snapshot_observed_at":"2026-08-14T11:49:28.094837Z","submitted_at":"2024-11-15T21:53:41Z","title":"A Novel MLLM-based Approach for Autonomous Driving in Different Weather Conditions","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-12T19:34:34.961715Z"},"links":{"citing_paper":"/paper/2411.10603"},"observation_digest":"sha256:e4046a024664b0c825737d33961ca626029ec4f94aadba2ec9f4d917a1207cc4","observation_id":"feccefee-b3d3-40ae-a830-770a9173c50b","resolution":{"observed_at":"2026-08-12T19:34:35.651990Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T19:34:35.625087Z","title":"Driving with LLMs: Fusing object- level vector modality for explainable autonomous driving,","venue":null,"work_id":"39bf9be9-7bdf-49c8-8b34-c8fa20a4d553","year":2024},"citing_paper":{"arxiv_id":"2411.10603","last_updated":"2024-11-15T21:53:41Z","snapshot_observed_at":"2026-08-14T11:49:28.094837Z","submitted_at":"2024-11-15T21:53:41Z","title":"A Novel MLLM-based Approach for Autonomous Driving in Different Weather Conditions","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-12T19:34:34.967083Z"},"links":{"citing_paper":"/paper/2411.10603"},"observation_digest":"sha256:930ac19a37b5807097e26797b41b6111c073d3cd52c337b327e66e88cef0101d","observation_id":"125ac687-c33d-413d-b43d-f02ac0165ed4","resolution":{"observed_at":"2026-08-12T19:34:35.631382Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2309.13193","last_updated":"2024-07-22T00:29:49Z","snapshot_observed_at":"2026-08-13T21:22:53.392977Z","submitted_at":"2023-09-22T21:56:00Z","title":"SurrealDriver: Designing LLM-powered Generative Driver Agent Framework based on Human Drivers' Driving-thinking Data","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.13193","snapshot_observed_at":"2026-08-12T19:34:34.971796Z","title":"Surrealdriver: Designing generative driver agent simulation framework in urban contexts based on large language model,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2411.10603","last_updated":"2024-11-15T21:53:41Z","snapshot_observed_at":"2026-08-14T11:49:28.094837Z","submitted_at":"2024-11-15T21:53:41Z","title":"A Novel MLLM-based Approach for Autonomous Driving in Different Weather Conditions","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-12T19:34:34.971796Z"},"links":{"cited_paper":"/paper/2309.13193","citing_paper":"/paper/2411.10603"},"observation_digest":"sha256:0c2fe8001710ebdd455417a721af02f35ecbadd1477932719de90eb9c8c915cc","observation_id":"ec67be13-f14d-474d-ad5c-66471a19190a","resolution":{"observed_at":"2026-08-12T19:34:34.971796Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.11368","last_updated":"2024-03-17T23:07:13Z","snapshot_observed_at":"2026-08-14T16:51:02.825242Z","submitted_at":"2024-03-17T23:07:13Z","title":"Driving Style Alignment for LLM-powered Driver Agent","version":1},"cited_work":{"arxiv_id":"2403.11368","doi":null,"metadata_source":"pith","pith_arxiv_id":"2403.11368","snapshot_observed_at":"2026-08-12T19:34:35.116012Z","title":"Driving Style Alignment for LLM-powered Driver Agent","venue":"cs.RO","work_id":"609be563-1c91-42cf-9ea2-1a419bda48f1","year":2024},"citing_paper":{"arxiv_id":"2411.10603","last_updated":"2024-11-15T21:53:41Z","snapshot_observed_at":"2026-08-14T11:49:28.094837Z","submitted_at":"2024-11-15T21:53:41Z","title":"A Novel MLLM-based Approach for Autonomous Driving in Different Weather Conditions","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-12T19:34:34.977116Z"},"links":{"cited_paper":"/paper/2403.11368","citing_paper":"/paper/2411.10603"},"observation_digest":"sha256:c4495228de6498aed53524a3861ddd012090edd641f870464bba6ede51361f19","observation_id":"ea10bfd9-6571-4821-be7e-624d406106ba","resolution":{"observed_at":"2026-08-12T19:34:35.125622Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2405.05885","last_updated":"2024-10-02T13:46:39Z","snapshot_observed_at":"2026-08-13T00:10:50.870138Z","submitted_at":"2024-05-09T16:17:41Z","title":"VLM-Auto: VLM-based Autonomous Driving Assistant with Human-like Behavior and Understanding for Complex Road Scenes","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.05885","snapshot_observed_at":"2026-08-12T19:34:34.982027Z","title":"Co-driver: VLM-based autonomous driving assistant with human-like behavior and understanding for complex road scenes,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.10603","last_updated":"2024-11-15T21:53:41Z","snapshot_observed_at":"2026-08-14T11:49:28.094837Z","submitted_at":"2024-11-15T21:53:41Z","title":"A Novel MLLM-based Approach for Autonomous Driving in Different Weather Conditions","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-12T19:34:34.982027Z"},"links":{"cited_paper":"/paper/2405.05885","citing_paper":"/paper/2411.10603"},"observation_digest":"sha256:18dd8a3b1e299bcf51c625efdf57734d0bdb583926607b4e46fe14cc20e73591","observation_id":"37c4f505-c0b6-4b27-8a5f-d39878b0823b","resolution":{"observed_at":"2026-08-12T19:34:34.982027Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2309.04379","last_updated":"2025-03-30T15:11:24Z","snapshot_observed_at":"2026-08-13T10:17:49.877034Z","submitted_at":"2023-09-08T15:21:07Z","title":"Language Prompt for Autonomous Driving","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.04379","snapshot_observed_at":"2026-08-12T19:34:34.987372Z","title":"Language prompt for autonomous driving,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2411.10603","last_updated":"2024-11-15T21:53:41Z","snapshot_observed_at":"2026-08-14T11:49:28.094837Z","submitted_at":"2024-11-15T21:53:41Z","title":"A Novel MLLM-based Approach for Autonomous Driving in Different Weather Conditions","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-12T19:34:34.987372Z"},"links":{"cited_paper":"/paper/2309.04379","citing_paper":"/paper/2411.10603"},"observation_digest":"sha256:01d93163d12487a058583727a8ec5ecf8d2c757b5b4d6431a25081ead94f374b","observation_id":"8717bb0d-5594-48d8-9073-c825f07f7dad","resolution":{"observed_at":"2026-08-12T19:34:34.987372Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T19:34:35.606695Z","title":"CARLA: An open urban driving simulator,","venue":null,"work_id":"d2c9d329-702a-414c-a6bc-356085c9a87c","year":2017},"citing_paper":{"arxiv_id":"2411.10603","last_updated":"2024-11-15T21:53:41Z","snapshot_observed_at":"2026-08-14T11:49:28.094837Z","submitted_at":"2024-11-15T21:53:41Z","title":"A Novel MLLM-based Approach for Autonomous Driving in Different Weather Conditions","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-12T19:34:34.993126Z"},"links":{"citing_paper":"/paper/2411.10603"},"observation_digest":"sha256:5fb526fa064f8bbb8944bda0a06c3fa2a9a5e3c7469262c6c5edbdb989ad9adc","observation_id":"5d47fb7d-b49b-4556-bd20-18cead042941","resolution":{"observed_at":"2026-08-12T19:34:35.612616Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T19:34:35.588043Z","title":"Enhancing SUMO simulator for simulation based testing and validation of autonomous vehicles,","venue":null,"work_id":"9378bb60-2c58-424b-9661-415d522d1a4b","year":2022},"citing_paper":{"arxiv_id":"2411.10603","last_updated":"2024-11-15T21:53:41Z","snapshot_observed_at":"2026-08-14T11:49:28.094837Z","submitted_at":"2024-11-15T21:53:41Z","title":"A Novel MLLM-based Approach for Autonomous Driving in Different Weather Conditions","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-12T19:34:34.999154Z"},"links":{"citing_paper":"/paper/2411.10603"},"observation_digest":"sha256:c17177600e1f963edb3891ee42f841eb7cce03d69f610df0335dd843cf96cb12","observation_id":"9bb551c3-dd57-4e2a-a11e-cc4a365019df","resolution":{"observed_at":"2026-08-12T19:34:35.593483Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T19:34:35.571425Z","title":"LimSim++: A closed-loop platform for deploying multimodal LLMs in autonomous driving,","venue":null,"work_id":"da085e46-eea0-4cd7-a597-ec3afa3c0082","year":2024},"citing_paper":{"arxiv_id":"2411.10603","last_updated":"2024-11-15T21:53:41Z","snapshot_observed_at":"2026-08-14T11:49:28.094837Z","submitted_at":"2024-11-15T21:53:41Z","title":"A Novel MLLM-based Approach for Autonomous Driving in Different Weather Conditions","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-12T19:34:35.005733Z"},"links":{"citing_paper":"/paper/2411.10603"},"observation_digest":"sha256:27ac06ea6ea80aa83f9f4cec34d9612b60cc846543f93c41396417d21151b01a","observation_id":"a2b314de-16f5-4dc0-b869-3262151a3c45","resolution":{"observed_at":"2026-08-12T19:34:35.576721Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2411.10603","last_updated":"2024-11-15T21:53:41Z","latest_version":1,"primary_category":"cs.RO","snapshot_observed_at":"2026-08-14T11:49:28.094837Z","submitted_at":"2024-11-15T21:53:41Z","title":"A Novel MLLM-based Approach for Autonomous Driving in Different Weather Conditions"},"reference_resolution":{"displayed":31,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":12,"verified_exact":2,"verified_fuzzy":17},"total_outbound_references":31},"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":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"thesis":"As of 14 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 0 inbound Pith citation observations for arXiv:2411.10603."}