Pith. sign in

Paper Citation Record · LEDGER

LLM4Drive: A Survey of Large Language Models for Autonomous Driving

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 31 inbound Pith citation observations for arXiv:2311.01043.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2311.01043 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 31 of 31 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 31 of 31 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:24:01.168049Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-04T11:29:50.262614Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 091ca405-36a4-4fae-931a-704075054d08 · inbound

DriveVLM: The Convergence of Autonomous Driving and Large Vision-Language Models cites this paper.

DriveVLM: The Convergence of Autonomous Driving and Large Vision-Language Models LLM4Drive: A Survey of Large Language Models for Autonomous Driving

Reference 38

Resolution
verified exact
arxiv_id, observed 2026-05-12T19:22:35.460445Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-12T19:22:35.305220Z digest=sha256:24bd3f77f3705aaf8b8e195ed742a4f586f6f936accfe916ec5f7b93f7b64ded

Observation 28691df8-e4a9-4c1f-afca-e5a3b0d657d1 · inbound

A Survey on the Memory Mechanism of Large Language Model based Agents cites this paper.

A Survey on the Memory Mechanism of Large Language Model based Agents LLM4Drive: A Survey of Large Language Models for Autonomous Driving

Reference 44

Resolution
verified exact
arxiv_id, observed 2026-05-15T07:21:39.807010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-15T07:21:39.440092Z digest=sha256:b1cee54967d189e553b1b396b63266071bf9f513d400ffe210fd401c87afe380

Observation dedc060e-f68f-46ea-a839-b7e2bbb88b15 · inbound

HCRMP: A LLM-Hinted Contextual Reinforcement Learning Framework for Autonomous Driving cites this paper.

HCRMP: A LLM-Hinted Contextual Reinforcement Learning Framework for Autonomous Driving LLM4Drive: A Survey of Large Language Models for Autonomous Driving

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-07T15:13:40.153066Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:13:40.153066Z digest=sha256:afae85be6043c6ae23bcd99060c0cd2ae29ff7d24e4503c93c3bb5c37b97b879

Observation 5ee64177-0c5a-4bb6-9e07-178117506bd6 · inbound

Generative AI for Autonomous Driving: A Review cites this paper.

Generative AI for Autonomous Driving: A Review LLM4Drive: A Survey of Large Language Models for Autonomous Driving

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-07T15:24:01.168049Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:24:01.168049Z digest=sha256:021e0016bebc3507bcc0e7331fce231dc5c6c60f024825cc27ecf2e55c58a02f

Observation 8bdb8707-a8a4-41c4-a8f4-cf14004facdb · inbound

DriveMoE: Mixture-of-Experts for Vision-Language-Action Model in End-to-End Autonomous Driving cites this paper.

DriveMoE: Mixture-of-Experts for Vision-Language-Action Model in End-to-End Autonomous Driving LLM4Drive: A Survey of Large Language Models for Autonomous Driving

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-05-22T14:31:40.593312Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-22T14:30:47.787654Z digest=sha256:3af01f9eba281657b84b00f73540e02f01f869e3807ec76207a1cc0d9584b8e4

Observation 541af2fc-3ef7-4951-9b9a-93fd6a5ef537 · inbound

LiloDriver: A Lifelong Learning Framework for Closed-loop Motion Planning in Long-tail Autonomous Driving Scenarios cites this paper.

LiloDriver: A Lifelong Learning Framework for Closed-loop Motion Planning in Long-tail Autonomous Driving Scenarios LLM4Drive: A Survey of Large Language Models for Autonomous Driving

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-22T13:21:35.693710Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-22T13:18:30.486507Z digest=sha256:b84b148a328827f6d9cac034cb6760c6c0f1bd6489cd796a4da2d304cd8fc610

Observation 2404c084-287e-4f9d-9e11-1d38d0539dc1 · inbound

Chain-of-Thought for Autonomous Driving: A Comprehensive Survey and Future Prospects cites this paper.

Chain-of-Thought for Autonomous Driving: A Comprehensive Survey and Future Prospects LLM4Drive: A Survey of Large Language Models for Autonomous Driving

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-07T14:02:53.174375Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:02:53.174375Z digest=sha256:90eb565400a3a00823bb609290ada139c0cfc94062c534169568d294cb4f1213

Observation 0193b2ef-eaec-4dfe-bb92-7aab0fe4b360 · inbound

IKIWISI: An Interactive Visual Pattern Generator for Evaluating the Reliability of Vision-Language Models Without Ground Truth cites this paper.

IKIWISI: An Interactive Visual Pattern Generator for Evaluating the Reliability of Vision-Language Models Without Ground Truth LLM4Drive: A Survey of Large Language Models for Autonomous Driving

Reference 79

Resolution
unresolved
no resolver link, observed 2026-08-07T13:15:56.103729Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:15:56.103729Z digest=sha256:a8fd90d7207c68ccec552aa3c3c8d509bc69c9f83f9e0dcd43f33787544d1014

Observation e14b6ead-41cd-4374-bf54-caafe0b82ed2 · inbound

CLONE: Customizing LLMs for Efficient Latency-Aware Inference at the Edge cites this paper.

CLONE: Customizing LLMs for Efficient Latency-Aware Inference at the Edge LLM4Drive: A Survey of Large Language Models for Autonomous Driving

Reference 144

Resolution
unresolved
no resolver link, observed 2026-08-07T11:20:30.447577Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:20:30.447577Z digest=sha256:6cbc17f563ab37709410c7495b870f1c1bab3dca55bc4771163241181167680a

Observation 5e8394d9-d22c-493e-8996-fc6898735edd · inbound

Structured Labeling Enables Faster Vision-Language Models for End-to-End Autonomous Driving cites this paper.

Structured Labeling Enables Faster Vision-Language Models for End-to-End Autonomous Driving LLM4Drive: A Survey of Large Language Models for Autonomous Driving

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-05-22T00:20:50.481464Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-22T00:16:35.823270Z digest=sha256:ec7072a2390c2730ab822ca0dfc9356f6ec033f57a034a50c6410dcbc37e2705

Observation f0e63499-7c1e-4dd6-b37e-e37b6077434e · inbound

ReSim: Reliable World Simulation for Autonomous Driving cites this paper.

ReSim: Reliable World Simulation for Autonomous Driving LLM4Drive: A Survey of Large Language Models for Autonomous Driving

Reference 96

Resolution
verified exact
arxiv_id, observed 2026-05-19T09:32:16.646398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-19T09:28:00.597160Z digest=sha256:cb47f32259e6d05c8a2b08494fcaf481eebf9bc58f7e9da5a72eaea3768854df

Observation 2c8c1799-2eeb-41f7-984c-43196540d171 · inbound

VisioPath: Vision-Language Enhanced Model Predictive Control for Safe Autonomous Navigation in Mixed Traffic cites this paper.

VisioPath: Vision-Language Enhanced Model Predictive Control for Safe Autonomous Navigation in Mixed Traffic LLM4Drive: A Survey of Large Language Models for Autonomous Driving

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-06T19:09:00.146532Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:09:00.146532Z digest=sha256:b4a13192510aca48ed4a7be6aac53bdbbcb651ba2deb13be9af7775bf2df3cce

Observation fd211aee-348c-4602-aa45-6a5ee4c90d19 · inbound

HySafe-AI: Hybrid Safety Architectural Analysis Framework for AI Systems: A Case Study cites this paper.

HySafe-AI: Hybrid Safety Architectural Analysis Framework for AI Systems: A Case Study LLM4Drive: A Survey of Large Language Models for Autonomous Driving

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-06T15:00:55.393132Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:00:55.393132Z digest=sha256:b229624f4a1b863b16bbe77af6439b7ab1426bb549e504a32b020b8ab8cf785c

Observation 79bf412b-0cae-4095-af29-4e7276c2a362 · inbound

A Unified Perception-Language-Action Framework for Adaptive Autonomous Driving cites this paper.

A Unified Perception-Language-Action Framework for Adaptive Autonomous Driving LLM4Drive: A Survey of Large Language Models for Autonomous Driving

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-06T10:40:41.461055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:40:41.461055Z digest=sha256:a9b790fa1c2d398c91015c4d3978868bb89eeaf3265617ec03c3163e29a14137

Observation f69a4da0-bba4-4e19-8403-c3556fbe9f7e · inbound

RoboTron-Sim: Improving Real-World Driving via Simulated Hard-Case cites this paper.

RoboTron-Sim: Improving Real-World Driving via Simulated Hard-Case LLM4Drive: A Survey of Large Language Models for Autonomous Driving

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-05T23:53:48.447263Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:53:48.447263Z digest=sha256:8c0e1762ee0a4cce59bf18809ec718df113b57ef68ea91d086e098bc03fb739d

Observation d356061a-a0db-4a29-9e4c-d88c50ff8955 · inbound

Generative AI for Testing of Autonomous Driving Systems: A Survey cites this paper.

Generative AI for Testing of Autonomous Driving Systems: A Survey LLM4Drive: A Survey of Large Language Models for Autonomous Driving

Reference 250

Resolution
unresolved
no resolver link, observed 2026-08-05T15:24:16.437746Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T15:24:16.437746Z digest=sha256:acbbbfd793fabf2729c4009a0ff1167c575efb47cc37af9c6d828b8e103da07c

Observation 044ac690-0940-4526-a418-a6c219682e59 · inbound

Foundation Models for Autonomous Driving Perception: A Survey Through Core Capabilities cites this paper.

Foundation Models for Autonomous Driving Perception: A Survey Through Core Capabilities LLM4Drive: A Survey of Large Language Models for Autonomous Driving

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-04T20:52:06.018250Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T20:52:06.018250Z digest=sha256:d9d18b01438f38242493d96565df8757234cf2455f5e3b2ad2c68c960491724a

Observation 6a52cc66-3551-421e-93d5-72f9c1f43b42 · inbound

A Survey on the Applications of Generative Artificial Intelligence in Automated Driving Systems Test Scenario Generation Methods cites this paper.

A Survey on the Applications of Generative Artificial Intelligence in Automated Driving Systems Test Scenario Generation Methods LLM4Drive: A Survey of Large Language Models for Autonomous Driving

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-03T15:54:39.607570Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T15:54:39.607570Z digest=sha256:230a9e9d54dcad2cec84bf48789c4ee156c88c255b6cd04f0648c328d71def0d

Observation 4978e7e9-644d-4b1b-a96f-4cb1b7a507a0 · inbound

PALM: Progress-Aware Policy Learning via Affordance Reasoning for Long-Horizon Robotic Manipulation cites this paper.

PALM: Progress-Aware Policy Learning via Affordance Reasoning for Long-Horizon Robotic Manipulation LLM4Drive: A Survey of Large Language Models for Autonomous Driving

Reference 127

Resolution
verified exact
arxiv_id, observed 2026-05-16T15:08:01.927348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-16T15:05:21.907878Z digest=sha256:5e48ee7c58040ec8a38d57ad03887c4365f63bf3d90049097a9fb04a758b87fa

Observation 15e16720-cd8a-4b4e-9ef9-3c94f1202db3 · inbound

Scaling Laws for Moral Machine Judgment in Large Language Models cites this paper.

Scaling Laws for Moral Machine Judgment in Large Language Models LLM4Drive: A Survey of Large Language Models for Autonomous Driving

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-16T11:57:49.989290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-16T11:56:50.993059Z digest=sha256:67b4f4d301b3fc276feabd0cbd3179cc6b073cdd2ac3c53b328654b34c973a42

Observation ea210f01-f590-44bb-96cd-bdfad9ac8ce5 · inbound

BEVLM: Distilling Semantic Knowledge from LLMs into Bird's-Eye View Representations cites this paper.

BEVLM: Distilling Semantic Knowledge from LLMs into Bird's-Eye View Representations LLM4Drive: A Survey of Large Language Models for Autonomous Driving

Reference 73

Resolution
unresolved
no resolver link, observed 2026-07-15T13:44:18.418529Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-15T13:44:18.418529Z digest=sha256:bd758b02ed13018926012d3a1ef1574c113d745271717e6f87c2b59c513be217

Observation b04f4aac-5789-4608-a5f2-184998acb87c · inbound

On-Policy Distillation of Language Models for Autonomous Vehicle Motion Planning cites this paper.

On-Policy Distillation of Language Models for Autonomous Vehicle Motion Planning LLM4Drive: A Survey of Large Language Models for Autonomous Driving

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-11T05:55:59.202898Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T17:52:35.367156Z digest=sha256:ca527704922150e13a107fc1ed0e71f71f79db046b1a4669561ed0927f3f761e

Observation c82aebe2-18dc-4738-8334-15a65b50b80a · inbound

Demystifying the Silence of Correctness Bugs in PyTorch Compiler cites this paper.

Demystifying the Silence of Correctness Bugs in PyTorch Compiler LLM4Drive: A Survey of Large Language Models for Autonomous Driving

Reference 50

Resolution
verified exact
arxiv_id, observed 2026-05-11T07:50:58.822184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T16:57:06.181050Z digest=sha256:94040f681aa1a4f325f36a5fcbe70f5c34e803a02e8a2e8c3e57930416524848

Observation 37a89d79-fe2d-4a5f-8e99-f5171b191807 · inbound

Large Language Model based Interactive Decision-Making for Autonomous Driving cites this paper.

Large Language Model based Interactive Decision-Making for Autonomous Driving LLM4Drive: A Survey of Large Language Models for Autonomous Driving

Reference 36

Resolution
verified exact
arxiv_id, observed 2026-05-11T21:11:20.437056Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-08T06:21:46.442955Z digest=sha256:852b4e158a28eebcbdcdacb3e4b0382efeeb8324b6924c3241531193c61723b5

Observation 62e006fc-13e6-43fa-940d-27a0ddb36540 · inbound

TPS-Drive: Task-Guided Representation Purification for VLM-based Autonomous Driving cites this paper.

TPS-Drive: Task-Guided Representation Purification for VLM-based Autonomous Driving LLM4Drive: A Survey of Large Language Models for Autonomous Driving

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-06-29T17:43:45.697077Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-29T17:42:49.902997Z digest=sha256:32e0b2ab3d45e836674eec01312d14224948458d6e858059d4bfd830edc9188f

Observation c4534696-9423-4644-bd5a-e3b26a80c869 · inbound

Large Language Models in Transportation Systems Management and Operations: From Text Reasoning to Multi-modal Decision Support cites this paper.

Large Language Models in Transportation Systems Management and Operations: From Text Reasoning to Multi-modal Decision Support LLM4Drive: A Survey of Large Language Models for Autonomous Driving

Reference 35

Resolution
verified exact
arxiv_id, observed 2026-07-01T20:56:14.190128Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-28T17:35:21.127740Z digest=sha256:21bda57691c28065000e91ec2559262eb0ae07efa3de38a5bb537db9572c5f8c

Observation 8c2662ba-d172-4e69-b893-fdbe5149df48 · inbound

Neuro-Symbolic Drive: Rule-Grounded Faithful Reasoning for Driving VLAs cites this paper.

Neuro-Symbolic Drive: Rule-Grounded Faithful Reasoning for Driving VLAs LLM4Drive: A Survey of Large Language Models for Autonomous Driving

Reference 54

Resolution
verified exact
arxiv_id, observed 2026-07-04T11:29:50.264088Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-26T07:59:56.928938Z digest=sha256:ca1c43471eb1d453ccad303132d318dee3da94eedfc63de7b939af0127db9a78

Observation b7b73222-9496-4154-8627-7b453380fa53 · inbound

A Large-Language-Model Supported Personalized Driving Framework for Lane Change in Highway Scenarios cites this paper.

A Large-Language-Model Supported Personalized Driving Framework for Lane Change in Highway Scenarios LLM4Drive: A Survey of Large Language Models for Autonomous Driving

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-07-01T10:05:41.091419Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-01T05:53:12.183583Z digest=sha256:a4f17de4bc26bd52f47d91873563f147cf7f3b854fd59ea3ae5d7b6540d2a16c

Observation bed8f8f4-d374-4549-b8ea-9f38ee8bf3be · inbound

A Large-Language-Model Supported Personalized Driving Framework for Lane Change in Highway Scenarios cites this paper.

A Large-Language-Model Supported Personalized Driving Framework for Lane Change in Highway Scenarios LLM4Drive: A Survey of Large Language Models for Autonomous Driving

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-07-02T19:17:17.755841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-02T19:12:59.814811Z digest=sha256:44c6403031951b8c4b5f3889897e5eec338e39382d5a643709fc952a44e3f934

Observation 25f6bedf-c9e7-4ea9-a82e-e38457cb71e6 · inbound

Towards Robustness against Typographic Attack with Training-free Concept Localization cites this paper.

Towards Robustness against Typographic Attack with Training-free Concept Localization LLM4Drive: A Survey of Large Language Models for Autonomous Driving

Reference 39

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T14:48:32.546545Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-03T14:41:21.582578Z digest=sha256:3fbcef0bd3ebd6e370a09309783f6fa2768dac6c249262131c52f99f2a6e4143

Observation 1f5c1ce4-a4f6-43f9-8a98-95f128204aa8 · inbound

Beyond Semantic Equivalence: Logical Graphs for LLM Uncertainty Quantification cites this paper.

Beyond Semantic Equivalence: Logical Graphs for LLM Uncertainty Quantification LLM4Drive: A Survey of Large Language Models for Autonomous Driving

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-01T19:47:01.776199Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T19:47:01.776199Z digest=sha256:7308a32f71efe089486388d5346adbef0dcea3023204fd15cefddafe5ad5021f