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Paper Citation Record · LEDGER

DiLu: A Knowledge-Driven Approach to Autonomous Driving with Large Language Models

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 59 inbound Pith citation observations for arXiv:2309.16292.

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

pith.paper-citation-record.v1
2309.16292 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 59 of 59 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 59 of 59 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T00:01:33.823538Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

38
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation d2a37cb4-6094-47ba-a55e-18edc72f8618 · inbound

VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning cites this paper.

VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning DiLu: A Knowledge-Driven Approach to Autonomous Driving with Large Language Models

Reference 50

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arxiv_id, observed 2026-05-24T03:18:49.450895Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-24T03:16:03.058129Z digest=sha256:42d270872ac6c365361aebcebe0c17a9f168bac48e3d5f10f58199911f4b8888

Observation 7f04fb47-2e67-443f-89c1-f221c1b26ca7 · 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 DiLu: A Knowledge-Driven Approach to Autonomous Driving with Large Language Models

Reference 168

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arxiv_id, observed 2026-05-15T07:21:39.664534Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-15T07:21:39.440092Z digest=sha256:5372b0077f9743b9f085a11bd8778d8f2c089479fca1078140756df689512874

Observation 0d995ad8-19d8-4def-bee1-117f9f63204d · inbound

A Novel MLLM-based Approach for Autonomous Driving in Different Weather Conditions cites this paper.

A Novel MLLM-based Approach for Autonomous Driving in Different Weather Conditions DiLu: A Knowledge-Driven Approach to Autonomous Driving with Large Language Models

Reference 5

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source=pdf_text observed=2026-08-12T19:34:34.715017Z digest=sha256:999c0d5c8fa01dcd5796fa83109429ae770098be044b7e5f05ce4b2ef1471efe

Observation d0683930-0822-4b7e-a4c6-0770e5955675 · inbound

Monocular Lane Detection Based on Deep Learning: A Survey cites this paper.

Monocular Lane Detection Based on Deep Learning: A Survey DiLu: A Knowledge-Driven Approach to Autonomous Driving with Large Language Models

Reference 205

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source=pdf_text observed=2026-08-12T13:18:37.392559Z digest=sha256:a6ce5338d2b2dd98ab1db2cb7843f398d15b3475dadcd812ac166d137770f1b9

Observation eecfd2e6-ad19-45ff-a843-af3e2f8d52a6 · inbound

Generating Out-Of-Distribution Scenarios Using Language Models cites this paper.

Generating Out-Of-Distribution Scenarios Using Language Models DiLu: A Knowledge-Driven Approach to Autonomous Driving with Large Language Models

Reference 33

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source=pdf_text observed=2026-08-12T13:03:27.811021Z digest=sha256:a8816d3cc312ceef22f5ae5e4f3a3727496f6a1eee0ca4131a238d6426bb3e18

Observation 41c995f2-b504-4b0a-869b-fd4eee3f40d6 · inbound

Large Language Model-based Decision-making for COLREGs and the Control of Autonomous Surface Vehicles cites this paper.

Large Language Model-based Decision-making for COLREGs and the Control of Autonomous Surface Vehicles DiLu: A Knowledge-Driven Approach to Autonomous Driving with Large Language Models

Reference 12

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source=pdf_text observed=2026-08-12T13:02:38.966900Z digest=sha256:23219a0d8a020c7f690abd7ebaaa6b367c590997332dda1f56e4ede926b99fc9

Observation b2d28c5d-fa9d-4df3-a3b0-d217b2b1e564 · inbound

PKRD-CoT: A Unified Chain-of-thought Prompting for Multi-Modal Large Language Models in Autonomous Driving cites this paper.

PKRD-CoT: A Unified Chain-of-thought Prompting for Multi-Modal Large Language Models in Autonomous Driving DiLu: A Knowledge-Driven Approach to Autonomous Driving with Large Language Models

Reference 33

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source=pdf_text observed=2026-08-11T23:56:46.502608Z digest=sha256:58c8966d1b95e6f06b137fce40b266f0ab8ddfc1fa64b246ee03a262b5ea9447

Observation e86436db-cdee-49d5-8504-97441baf5c60 · inbound

World knowledge-enhanced Reasoning Using Instruction-guided Interactor in Autonomous Driving cites this paper.

World knowledge-enhanced Reasoning Using Instruction-guided Interactor in Autonomous Driving DiLu: A Knowledge-Driven Approach to Autonomous Driving with Large Language Models

Reference 48

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source=arxiv_source observed=2026-08-11T19:52:15.243203Z digest=sha256:6fc3c5d7d096df40406b050eb1297e8f3ab974a3e4a372124b20439653a2f71d

Observation 86f6c648-56ef-4aef-9c62-34fcbf1fef96 · inbound

RoboTron-Drive: All-in-One Large Multimodal Model for Autonomous Driving cites this paper.

RoboTron-Drive: All-in-One Large Multimodal Model for Autonomous Driving DiLu: A Knowledge-Driven Approach to Autonomous Driving with Large Language Models

Reference 56

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source=pdf_text observed=2026-08-11T18:39:43.043340Z digest=sha256:369768df1529715713a2c32609470e3825d990a5440c6e70051625c4eb5771f8

Observation 66dbc076-ec60-464e-895f-b7d7e20358ea · inbound

SafeDrive: Knowledge- and Data-Driven Risk-Sensitive Decision-Making for Autonomous Vehicles with Large Language Models cites this paper.

SafeDrive: Knowledge- and Data-Driven Risk-Sensitive Decision-Making for Autonomous Vehicles with Large Language Models DiLu: A Knowledge-Driven Approach to Autonomous Driving with Large Language Models

Reference 29

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source=pdf_text observed=2026-08-11T13:31:30.204810Z digest=sha256:b6aceeaea4bfbb0f8783a8175dcf1b122c5a687d3e2c049535fc4b4f803809cd

Observation db798673-aae8-44d3-957e-f8150aa8a3fb · inbound

VLM-RL: A Unified Vision Language Models and Reinforcement Learning Framework for Safe Autonomous Driving cites this paper.

VLM-RL: A Unified Vision Language Models and Reinforcement Learning Framework for Safe Autonomous Driving DiLu: A Knowledge-Driven Approach to Autonomous Driving with Large Language Models

Reference 13

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source=pdf_text observed=2026-08-11T11:25:15.410052Z digest=sha256:dfb0d5da20401f4b1ab8ee648b195c2b817ab31fa82791ce52e57aa2019afe0d

Observation 5466b02b-ee9b-4601-af88-e1b56f801109 · inbound

Large Language Model guided Deep Reinforcement Learning for Decision Making in Autonomous Driving cites this paper.

Large Language Model guided Deep Reinforcement Learning for Decision Making in Autonomous Driving DiLu: A Knowledge-Driven Approach to Autonomous Driving with Large Language Models

Reference 32

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source=pdf_text observed=2026-08-11T04:46:03.050144Z digest=sha256:fb966126459560f7755c8020ba0d7e9110e37ec88628b209b048c950037f1b0f

Observation 94c91b18-094b-4c5e-b2ab-4500e1cc10cf · inbound

SenseRAG: Constructing Environmental Knowledge Bases with Proactive Querying for LLM-Based Autonomous Driving cites this paper.

SenseRAG: Constructing Environmental Knowledge Bases with Proactive Querying for LLM-Based Autonomous Driving DiLu: A Knowledge-Driven Approach to Autonomous Driving with Large Language Models

Reference 6

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source=pdf_text observed=2026-08-10T21:56:08.037340Z digest=sha256:f7cf29b7f5e4b46f21e1664150d52df309f85d9610c8cc8bcc7ac1d73e488500

Observation 88525517-66eb-491c-bb66-e56208316a12 · inbound

Integrating LLMs with ITS: Recent Advances, Potentials, Challenges, and Future Directions cites this paper.

Integrating LLMs with ITS: Recent Advances, Potentials, Challenges, and Future Directions DiLu: A Knowledge-Driven Approach to Autonomous Driving with Large Language Models

Reference 278

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source=pdf_text observed=2026-08-10T21:37:05.467143Z digest=sha256:1a5f90ecfeba00a95203be7a2e7ece96c83bdab41ed2f396fa91722cdfbbd68e

Observation a1ddae2d-4693-4bf8-9c1f-2c4c9b0ddc71 · inbound

CoDriveVLM: VLM-Enhanced Urban Cooperative Dispatching and Motion Planning for Future Autonomous Mobility on Demand Systems cites this paper.

CoDriveVLM: VLM-Enhanced Urban Cooperative Dispatching and Motion Planning for Future Autonomous Mobility on Demand Systems DiLu: A Knowledge-Driven Approach to Autonomous Driving with Large Language Models

Reference 23

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source=pdf_text observed=2026-08-10T21:10:10.691635Z digest=sha256:0fb5fb1c4f50d47f2f679a009ccb14332f9de0ca5ed7cd49f2ef2229eb05ef92

Observation 2867f729-2008-48a3-8b58-113e34752c85 · inbound

Generative Planning with 3D-vision Language Pre-training for End-to-End Autonomous Driving cites this paper.

Generative Planning with 3D-vision Language Pre-training for End-to-End Autonomous Driving DiLu: A Knowledge-Driven Approach to Autonomous Driving with Large Language Models

Reference 43

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source=arxiv_source observed=2026-08-10T20:20:48.778640Z digest=sha256:65dab9299a75f535ada6df36845a0821b73682732db955e3e78c4e02c4d50ec1

Observation e096bb22-b76f-4c7d-ae22-529a61b30b45 · inbound

TeLL-Drive: Enhancing Autonomous Driving with Teacher LLM-Guided Deep Reinforcement Learning cites this paper.

TeLL-Drive: Enhancing Autonomous Driving with Teacher LLM-Guided Deep Reinforcement Learning DiLu: A Knowledge-Driven Approach to Autonomous Driving with Large Language Models

Reference 26

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source=pdf_text observed=2026-08-09T15:32:47.440437Z digest=sha256:3d3c1f3d379b540544b592138f8f391396d54a6a5b1b23185144a4d09bcd53ae

Observation e50a821c-69f4-4bb6-aae8-0fe654820941 · inbound

Vision-Integrated LLMs for Autonomous Driving Assistance : Human Performance Comparison and Trust Evaluation cites this paper.

Vision-Integrated LLMs for Autonomous Driving Assistance : Human Performance Comparison and Trust Evaluation DiLu: A Knowledge-Driven Approach to Autonomous Driving with Large Language Models

Reference 51

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source=pdf_text observed=2026-08-08T22:43:33.165051Z digest=sha256:0a7df503b9c3726d09fb5fd222ff8a69285e12c0cb73970c262b22fe3405309f

Observation d5f0b4f4-84b6-41a8-9eb0-a9a7e3053c3c · inbound

LimSim Series: An Autonomous Driving Simulation Platform for Validation and Enhancement cites this paper.

LimSim Series: An Autonomous Driving Simulation Platform for Validation and Enhancement DiLu: A Knowledge-Driven Approach to Autonomous Driving with Large Language Models

Reference 16

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source=pdf_text observed=2026-08-07T22:25:46.125097Z digest=sha256:c00c68979aa2a6228b05ea6648d6c7fdd81093b42f91c91e33a8e2eeb7799a9b

Observation e61de76f-ddef-4c7c-b946-ecdac31db763 · inbound

RobotxR1: Enabling Embodied Robotic Intelligence on Large Language Models through Closed-Loop Reinforcement Learning cites this paper.

RobotxR1: Enabling Embodied Robotic Intelligence on Large Language Models through Closed-Loop Reinforcement Learning DiLu: A Knowledge-Driven Approach to Autonomous Driving with Large Language Models

Reference 14

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source=pdf_text observed=2026-08-16T00:01:33.823538Z digest=sha256:7f07cc77a9484004a88dc1e2004e28a1caceebcf5691c43d9822c3f5647f1efe

Observation 2cc2ebd8-b834-4cf5-ae75-f7956a115a23 · inbound

PADriver: Towards Personalized Autonomous Driving cites this paper.

PADriver: Towards Personalized Autonomous Driving DiLu: A Knowledge-Driven Approach to Autonomous Driving with Large Language Models

Reference 14

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source=pdf_text observed=2026-08-15T23:14:11.283002Z digest=sha256:8570c7a6dd7e633359f3f6e32bdc2bd052a1470119b62f60e3726bf14d61cb7f

Observation a9ffc5d8-2d09-4ee0-ba14-081b6eb1864f · inbound

Towards Human-Centric Autonomous Driving: A Fast-Slow Architecture Integrating Large Language Model Guidance with Reinforcement Learning cites this paper.

Towards Human-Centric Autonomous Driving: A Fast-Slow Architecture Integrating Large Language Model Guidance with Reinforcement Learning DiLu: A Knowledge-Driven Approach to Autonomous Driving with Large Language Models

Reference 11

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source=pdf_text observed=2026-08-15T22:34:58.181668Z digest=sha256:4f8dd1334739507e32741ab6648ecd58653bc9bc7d68f297d62ebacc1c148fed

Observation de7dd89e-d1e9-44c2-b406-29b125e0ae1c · inbound

LD-Scene: LLM-Guided Diffusion for Controllable Generation of Adversarial Safety-Critical Driving Scenarios cites this paper.

LD-Scene: LLM-Guided Diffusion for Controllable Generation of Adversarial Safety-Critical Driving Scenarios DiLu: A Knowledge-Driven Approach to Autonomous Driving with Large Language Models

Reference 13

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source=pdf_text observed=2026-08-15T20:58:31.388864Z digest=sha256:0c9de5abd58dcb33c917f5d0f02d3577e010621f144b2932d1f74695568acba5

Observation cafcbda4-1b02-4c16-b763-e7ced6a1934b · 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 DiLu: A Knowledge-Driven Approach to Autonomous Driving with Large Language Models

Reference 28

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arxiv_id, observed 2026-05-22T13:21:35.738804Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-22T13:18:30.486507Z digest=sha256:f76d72dd93040873e3455399814b367595bae94033677fb1a95388c32669d6a0

Observation e6c38b3d-99c8-42d2-a44a-0abb4fd9bb2a · inbound

CoopReflect: Towards Natural Language Communication for Cooperative Autonomous Driving via Multi-Agent Learning cites this paper.

CoopReflect: Towards Natural Language Communication for Cooperative Autonomous Driving via Multi-Agent Learning DiLu: A Knowledge-Driven Approach to Autonomous Driving with Large Language Models

Reference 17

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source=pdf_text observed=2026-08-07T14:37:05.769066Z digest=sha256:24e7ae244864b8d334a1da9bce34df2be41c08d56eda0891a393cfda75b52dae

Observation df175c1a-4eef-4224-80a2-c113c065b2f1 · inbound

DriveCamSim: Generalizable Camera Simulation via Explicit Camera Modeling for Autonomous Driving cites this paper.

DriveCamSim: Generalizable Camera Simulation via Explicit Camera Modeling for Autonomous Driving DiLu: A Knowledge-Driven Approach to Autonomous Driving with Large Language Models

Reference 22

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source=pdf_text observed=2026-08-07T14:12:10.931110Z digest=sha256:162c6abd464cda6f67891b44c08735e3b7445dee61e60088ac2abb331ed37b4f

Observation ebf6e2f3-88bd-405e-bf7c-64f98b633b77 · 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 DiLu: A Knowledge-Driven Approach to Autonomous Driving with Large Language Models

Reference 41

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source=pdf_text observed=2026-08-07T14:02:54.489719Z digest=sha256:1d214149ac3b677319c663ba8fd130db539107697e6b110df416b874d88b8097

Observation 439f4f6a-e764-44cf-bd1c-228f1e3b279a · inbound

Hierarchical Question-Answering for Driving Scene Understanding Using Vision-Language Models cites this paper.

Hierarchical Question-Answering for Driving Scene Understanding Using Vision-Language Models DiLu: A Knowledge-Driven Approach to Autonomous Driving with Large Language Models

Reference 20

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source=pdf_text observed=2026-08-07T11:23:14.113366Z digest=sha256:86398a084acf3b836643dbd241b19d70dc84844b8c4bef02f0f5a85089055875

Observation d2725233-823a-4041-8541-97129c032562 · inbound

From Standalone LLMs to Integrated Intelligence: A Survey of Compound Al Systems cites this paper.

From Standalone LLMs to Integrated Intelligence: A Survey of Compound Al Systems DiLu: A Knowledge-Driven Approach to Autonomous Driving with Large Language Models

Reference 193

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arxiv_id, observed 2026-05-19T11:52:16.154676Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-19T11:49:36.574471Z digest=sha256:aeb46fdcbd309fc68f5aa7c24324580ead73deafeaea2d251ca5eeb425cd8b9d

Observation 0ad07189-ef55-4f15-8e4d-7a3a187550e5 · 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 DiLu: A Knowledge-Driven Approach to Autonomous Driving with Large Language Models

Reference 26

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arxiv_id, observed 2026-05-22T00:20:50.476335Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-22T00:16:35.823270Z digest=sha256:5433412227a5dfd79205a0a49c28fa72362001de384da425ba4ffde309e1c0fb

Observation 0b9fb237-70b6-44fb-bf96-6e78ced873cc · inbound

ADRD: LLM-Driven Autonomous Driving Based on Rule-based Decision Systems cites this paper.

ADRD: LLM-Driven Autonomous Driving Based on Rule-based Decision Systems DiLu: A Knowledge-Driven Approach to Autonomous Driving with Large Language Models

Reference 3

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source=pdf_text observed=2026-08-07T00:23:42.524120Z digest=sha256:695e07a7fe1a001385b08ceb75054663739426fe2b3f60c504816458fb94b6f5

Observation 2a7f0d18-1305-4624-86af-b8dc04a51194 · inbound

A Large Language Model-based Multi-Agent Framework for Analog Circuits' Sizing Relationships Extraction cites this paper.

A Large Language Model-based Multi-Agent Framework for Analog Circuits' Sizing Relationships Extraction DiLu: A Knowledge-Driven Approach to Autonomous Driving with Large Language Models

Reference 13

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source=pdf_text observed=2026-08-15T18:53:32.521990Z digest=sha256:aab9096f124fefd91fbe1c00e19e03d5c25a0a22586fcac84556f1efb23d4e80

Observation ad9df247-c7d8-4c0a-b622-5947af9390ea · inbound

A Survey on Vision-Language-Action Models for Autonomous Driving cites this paper.

A Survey on Vision-Language-Action Models for Autonomous Driving DiLu: A Knowledge-Driven Approach to Autonomous Driving with Large Language Models

Reference 131

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source=pdf_text observed=2026-08-06T21:31:04.782290Z digest=sha256:eb00398cbe2d70258cb89f3172f80d15acc301b24cfcf2e1902b636d05defbff

Observation cba64799-4f40-46e4-9ede-219742c2e90e · inbound

ReAL-AD: Towards Human-Like Reasoning in End-to-End Autonomous Driving cites this paper.

ReAL-AD: Towards Human-Like Reasoning in End-to-End Autonomous Driving DiLu: A Knowledge-Driven Approach to Autonomous Driving with Large Language Models

Reference 48

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:04:50.635671Z digest=sha256:52eb85f31a62b27d2e7813e97f56308ddf8933448d0816c9241dda59ae8f196a

Observation e9564e11-3a5a-4f85-be9d-f00556a53675 · inbound

VLMPlanner: Integrating Visual Language Models with Motion Planning cites this paper.

VLMPlanner: Integrating Visual Language Models with Motion Planning DiLu: A Knowledge-Driven Approach to Autonomous Driving with Large Language Models

Reference 59

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unresolved
no resolver link, observed 2026-08-15T17:50:21.265658Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:50:21.265658Z digest=sha256:1b59539e4b0985908f69afb00f8e59b379d001923ccd24639a2393be09c9818d

Observation 867393f6-fc0a-4c86-beed-f3381304e50d · inbound

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

RoboTron-Sim: Improving Real-World Driving via Simulated Hard-Case DiLu: A Knowledge-Driven Approach to Autonomous Driving with Large Language Models

Reference 20

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unresolved
no resolver link, observed 2026-08-05T23:53:45.998341Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:53:45.998341Z digest=sha256:bf74f0c01a74ae57e994af285010c43163a5b7f231388bfcde9dbd6d768b6fa5

Observation efa18d7f-b85d-45fa-a2bb-76a555e307c4 · inbound

DriveQA: Passing the Driving Knowledge Test cites this paper.

DriveQA: Passing the Driving Knowledge Test DiLu: A Knowledge-Driven Approach to Autonomous Driving with Large Language Models

Reference 82

Resolution
unresolved
no resolver link, observed 2026-08-05T13:58:11.355475Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:58:11.355475Z digest=sha256:0af56470cb8de97ee873e687a36bfad43fdcd04a4e693169998ad212b1f7fe3a

Observation 1697e2b8-c3d7-4c84-b751-4c5bbc88917f · inbound

A Review of Learning-Based Motion Planning: Toward a Data-Driven Optimal Control Approach cites this paper.

A Review of Learning-Based Motion Planning: Toward a Data-Driven Optimal Control Approach DiLu: A Knowledge-Driven Approach to Autonomous Driving with Large Language Models

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-03T16:52:57.015254Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T16:52:57.015254Z digest=sha256:8f8cc6b60a8fa638fdca4814dad6c9a31a6ae33cb00723ae83625cef40af2bd3

Observation 3f78f972-00d7-471a-a6d5-d37c1f1fd264 · inbound

MapTab: A Diagnostic Benchmark for Long-Horizon Multi-Criteria Multimodal Reasoning on Heterogeneous Topological Graphs cites this paper.

MapTab: A Diagnostic Benchmark for Long-Horizon Multi-Criteria Multimodal Reasoning on Heterogeneous Topological Graphs DiLu: A Knowledge-Driven Approach to Autonomous Driving with Large Language Models

Reference 78

Resolution
verified exact
arxiv_id, observed 2026-05-15T20:16:34.612444Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-15T20:12:46.385646Z digest=sha256:fd6e11b8ead7fbad1360b7f8f05721307650f46f948ea229d851e438e531e7a8

Observation 4e479499-31ee-4ebd-b1b5-963778ae4124 · inbound

MapTab: A Diagnostic Benchmark for Long-Horizon Multi-Criteria Multimodal Reasoning on Heterogeneous Topological Graphs cites this paper.

MapTab: A Diagnostic Benchmark for Long-Horizon Multi-Criteria Multimodal Reasoning on Heterogeneous Topological Graphs DiLu: A Knowledge-Driven Approach to Autonomous Driving with Large Language Models

Reference 78

Resolution
verified exact
arxiv_id, observed 2026-05-22T10:31:25.309598Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-22T10:30:06.829915Z digest=sha256:0148c8110fb244ba554f1571865d4f88fe456f10f82b5219e6e0d790d2212a72

Observation b8c44219-c814-4963-8e7b-fff753666ea3 · inbound

MapTab: A Diagnostic Benchmark for Long-Horizon Multi-Criteria Multimodal Reasoning on Heterogeneous Topological Graphs cites this paper.

MapTab: A Diagnostic Benchmark for Long-Horizon Multi-Criteria Multimodal Reasoning on Heterogeneous Topological Graphs DiLu: A Knowledge-Driven Approach to Autonomous Driving with Large Language Models

Reference 77

Resolution
unresolved
no resolver link, observed 2026-08-02T22:00:10.532491Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T22:00:10.532491Z digest=sha256:6e620b6e6594f7203986dd7728f8b3b7223c24d94a5a5365069bdb735b04aa6a

Observation 4c9d0cdf-6e17-4a00-8eec-cebccf238130 · inbound

C-TRAIL: A Commonsense World Framework for Trajectory Planning in Autonomous Driving cites this paper.

C-TRAIL: A Commonsense World Framework for Trajectory Planning in Autonomous Driving DiLu: A Knowledge-Driven Approach to Autonomous Driving with Large Language Models

Reference 47

Resolution
verified exact
arxiv_id, observed 2026-05-13T23:28:26.095255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-13T23:27:31.054348Z digest=sha256:a3445cffcad9ecf8cc0e4dcf89563d775dfe20d34ede61fac1ad3fb5a3b0943f

Observation b170608d-3cf1-44a0-8b49-b05c02ec70ef · inbound

The Blind Spot of Adaptation: Quantifying and Mitigating Forgetting in Fine-tuned Driving Models cites this paper.

The Blind Spot of Adaptation: Quantifying and Mitigating Forgetting in Fine-tuned Driving Models DiLu: A Knowledge-Driven Approach to Autonomous Driving with Large Language Models

Reference 44

Resolution
verified exact
arxiv_id, observed 2026-05-10T22:15:50.150449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-10T20:04:46.144856Z digest=sha256:c07970723e5f83ac9e89a1efc728fab060943c55fc75d44710f0361834dae4ae

Observation 76485f5d-8f5c-4be6-babf-7b2a3041c101 · inbound

Steadily moving semi-infinite fracture in plane poroelasticity cites this paper.

Steadily moving semi-infinite fracture in plane poroelasticity DiLu: A Knowledge-Driven Approach to Autonomous Driving with Large Language Models

Reference 100

Resolution
metadata mismatch
local_arxiv, observed 2026-07-05T11:41:02.570833Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-07-05T11:39:05.686584Z digest=sha256:bf2bc5ce4d0f8b3556f7e133d94da85605c18fccd3e6d27e44bca71d5468687f

Observation 2318ce26-d2ac-45f4-818f-7fdfcc1bd16f · inbound

XEmbodied: A Foundation Model with Enhanced Geometric and Physical Cues for Large-Scale Embodied Environments cites this paper.

XEmbodied: A Foundation Model with Enhanced Geometric and Physical Cues for Large-Scale Embodied Environments DiLu: A Knowledge-Driven Approach to Autonomous Driving with Large Language Models

Reference 100

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T05:51:10.325819Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-10T05:46:36.865150Z digest=sha256:2d65ea4406c39774a4f981b8def1e9371401568da6d30419b7468b1cc1d5b48f

Observation 74b57b21-bfa9-4cb4-b87e-20f58d8341d0 · inbound

SwarmDrive: Semantic V2V Coordination for Latency-Constrained Cooperative Autonomous Driving cites this paper.

SwarmDrive: Semantic V2V Coordination for Latency-Constrained Cooperative Autonomous Driving DiLu: A Knowledge-Driven Approach to Autonomous Driving with Large Language Models

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-05-11T13:46:04.092569Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-10T00:38:30.267653Z digest=sha256:4e1693f60d5befc041707d8f1ca1a2b08920a506ed746d7aeb9178b3c3024639

Observation 93c15e91-b8a6-4c91-94b3-0979d45efd82 · inbound

OCR-Memory: Optical Context Retrieval for Long-Horizon Agent Memory cites this paper.

OCR-Memory: Optical Context Retrieval for Long-Horizon Agent Memory DiLu: A Knowledge-Driven Approach to Autonomous Driving with Large Language Models

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-05-12T09:31:25.548906Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-05-07T10:45:48.976501Z digest=sha256:76da71622e16bd9d0c6e2e29331b103d7a279eae154213d8ab79cf3c27841f5e

Observation 7fe853d5-6bb7-4efc-be58-92013462fdfb · inbound

Driving Intents Amplify Planning-Oriented Reinforcement Learning cites this paper.

Driving Intents Amplify Planning-Oriented Reinforcement Learning DiLu: A Knowledge-Driven Approach to Autonomous Driving with Large Language Models

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-05-14T20:52:58.790282Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-14T20:50:14.602822Z digest=sha256:83dd16de4b0b932905b3e72d188350c0d426c0e03654c69b230838a914512bad

Observation 05d36f38-94bb-449d-aabb-2226f735ba8d · inbound

Driving Intents Amplify Planning-Oriented Reinforcement Learning cites this paper.

Driving Intents Amplify Planning-Oriented Reinforcement Learning DiLu: A Knowledge-Driven Approach to Autonomous Driving with Large Language Models

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-05-15T04:59:45.613684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-15T04:58:07.943615Z digest=sha256:3f401775a5ea42c56950447bce45d9b2c3b2da741ce34bd5935c67664a1f8a87

Observation e9da8a21-dfcd-4eb5-8518-32edb7741b38 · inbound

Bench2Drive-Robust: Benchmarking Closed-Loop Autonomous Driving under Deployment Perturbations cites this paper.

Bench2Drive-Robust: Benchmarking Closed-Loop Autonomous Driving under Deployment Perturbations DiLu: A Knowledge-Driven Approach to Autonomous Driving with Large Language Models

Reference 46

Resolution
verified exact
arxiv_id, observed 2026-05-20T10:13:11.793801Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-20T10:12:16.361783Z digest=sha256:582a53cfbe2c84fdc8331efd7801614221711a62a1be380b31b3c1ff4b5b0b1d

Observation 128d9166-e1b5-4dd6-9487-33fff8b63732 · inbound

4DLidarOpen: An Open 4D FMCW Lidar Dataset for Motion-Aware Autonomous Driving cites this paper.

4DLidarOpen: An Open 4D FMCW Lidar Dataset for Motion-Aware Autonomous Driving DiLu: A Knowledge-Driven Approach to Autonomous Driving with Large Language Models

Reference 54

Resolution
verified exact
arxiv_id, observed 2026-05-20T10:08:12.313550Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-20T10:06:30.679915Z digest=sha256:b20380d259d1923f5baec48e7ad86a5f48dc7bed92fd06f07b2629c1674bc2cd

Observation 4a8f392a-2634-4b96-8607-f3a94fe5fcda · inbound

Steins;Gate Drive: Semantic Safety Arbitration over Structured Futures for Latency-Decoupled LLM Planning cites this paper.

Steins;Gate Drive: Semantic Safety Arbitration over Structured Futures for Latency-Decoupled LLM Planning DiLu: A Knowledge-Driven Approach to Autonomous Driving with Large Language Models

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-05-22T05:41:08.354059Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-22T05:39:56.299842Z digest=sha256:8b8c91df80569b1e7ae99ff7c2b5603c0ba3a4b2a03be9f4b1a45d4b7978491c

Observation faa662b0-33d0-4274-9a2b-84113cfb0e56 · inbound

SARAD: LLM-Based Safety-Aware Hybrid Reinforcement Learning with Collision Prediction for Autonomous Driving cites this paper.

SARAD: LLM-Based Safety-Aware Hybrid Reinforcement Learning with Collision Prediction for Autonomous Driving DiLu: A Knowledge-Driven Approach to Autonomous Driving with Large Language Models

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-06-29T11:53:23.761730Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-06-29T11:49:24.977603Z digest=sha256:54356bd849ed6e127db1bcd6ad43196b07c79ed4094f5e35d84045234914a60e

Observation 3c87d3ab-9324-4678-a29f-826bb133e276 · inbound

Experience Makes Skillful: Enabling Generalizable Medical Agent Reasoning via Self-Evolving Skill Memory cites this paper.

Experience Makes Skillful: Enabling Generalizable Medical Agent Reasoning via Self-Evolving Skill Memory DiLu: A Knowledge-Driven Approach to Autonomous Driving with Large Language Models

Reference 73

Resolution
verified exact
arxiv_id, observed 2026-07-03T01:07:30.910191Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-06-27T16:45:30.431403Z digest=sha256:6e79344e9a823628f745b6683dcae17ae1fda7437b0638c2ee19bffe30123884

Observation 94ed5b35-20f0-4151-b24f-9e63eea4285e · inbound

AutoSpec: Safety Rule Evolution for LLM Agents via Inductive Logic Programming cites this paper.

AutoSpec: Safety Rule Evolution for LLM Agents via Inductive Logic Programming DiLu: A Knowledge-Driven Approach to Autonomous Driving with Large Language Models

Reference 35

Resolution
verified exact
arxiv_id, observed 2026-07-04T18:00:00.398285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-06-25T23:17:58.968269Z digest=sha256:964db4172865f14edb69a793a8c1eb28d8fbb76eb517b243dd80d45a0b173340

Observation 58c8464a-8494-4d53-8738-cfc698136d90 · inbound

AutoSpec: Safety Rule Evolution for LLM Agents via Inductive Logic Programming cites this paper.

AutoSpec: Safety Rule Evolution for LLM Agents via Inductive Logic Programming DiLu: A Knowledge-Driven Approach to Autonomous Driving with Large Language Models

Reference 35

Resolution
unresolved
no resolver link, observed 2026-07-12T12:34:58.460933Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T12:34:58.460933Z digest=sha256:e7e609ef245ce7557b67782bc967a7d822813b7f25c4550ac48eeb7724b1f368

Observation bdd5a828-acac-4032-a4eb-2464e956f7f0 · inbound

End-to-End LLM Flight Planning with RAG-based Memory and Multi-modal Coach Agent cites this paper.

End-to-End LLM Flight Planning with RAG-based Memory and Multi-modal Coach Agent DiLu: A Knowledge-Driven Approach to Autonomous Driving with Large Language Models

Reference 24

Resolution
metadata mismatch
local_arxiv, observed 2026-07-09T01:15:50.354128Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-07-09T01:12:27.805804Z digest=sha256:f107cc81744472c4d385727cc57b10dddcf2552d5f52f22a78dc65f5e18b62cc

Observation 0d561791-9ba8-47fd-b3b2-09c909f23eda · inbound

S-squared-VLA: Decoupling Semantic and Spatial Streams in Vision-Language-Action Models for Autonomous Driving cites this paper.

S-squared-VLA: Decoupling Semantic and Spatial Streams in Vision-Language-Action Models for Autonomous Driving DiLu: A Knowledge-Driven Approach to Autonomous Driving with Large Language Models

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-02T03:20:54.423505Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T03:20:54.423505Z digest=sha256:0b9955b4f22367b93e1bd68628875ab1e5e0cc4d8bf9295d1e71d493d34a6d9e

Observation a4787d11-62c8-4900-9300-3e1959e79902 · inbound

Cognitive Dual-Process Planning for Autonomous Driving with Structured Scene Knowledge and Verifiable Reasoning-Action Consistency cites this paper.

Cognitive Dual-Process Planning for Autonomous Driving with Structured Scene Knowledge and Verifiable Reasoning-Action Consistency DiLu: A Knowledge-Driven Approach to Autonomous Driving with Large Language Models

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-01T13:16:50.736378Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T13:16:50.736378Z digest=sha256:4926a6851d2e60b9d5dbc26f9a0c3e7e1b358353b04de3ae4d3f9c41a0363546