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Paper Citation Record · LEDGER

LimSim Series: An Autonomous Driving Simulation Platform for Validation and Enhancement

As of 9 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 0 inbound Pith citation observations for arXiv:2502.09170.

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

pith.paper-citation-record.v1
2502.09170 v1

Coverage vector

measured 18 of 18 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T22:25:46.132740Z

measured 18 of 18 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

18 of 18 outbound references displayed

  • verified exact0
  • verified fuzzy1
  • unresolved16
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 74e17e08-b060-4f24-95c9-4cfb34f4a01e · outbound

This paper cites LimSim++: A Closed-Loop Platform for Deploying Multimodal LLMs in Autonomous Driving.

LimSim Series: An Autonomous Driving Simulation Platform for Validation and Enhancement LimSim++: A Closed-Loop Platform for Deploying Multimodal LLMs in Autonomous Driving

Reference 3

Resolution
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no resolver link, observed 2026-08-07T22:25:46.072978Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T22:25:46.072978Z digest=sha256:dbaedbc607ce2162984e0dcfb1a455b934eb57052d3a0ff07e02264a307243b2

Observation bf95933a-46ae-4921-ba74-388fad841f87 · outbound

This paper cites Bench2Drive: Towards Multi-Ability Benchmarking of Closed-Loop End-To-End Autonomous Driving.

LimSim Series: An Autonomous Driving Simulation Platform for Validation and Enhancement Bench2Drive: Towards Multi-Ability Benchmarking of Closed-Loop End-To-End Autonomous Driving

Reference 6

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unresolved
no resolver link, observed 2026-08-07T22:25:46.086133Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T22:25:46.086133Z digest=sha256:2e783a445e89d2e2c8f8abe38f099eb754acc7b3609b1aafe1e5f4946f51fd9a

Observation 002dd19f-6c5b-4e00-9621-a8f41d7160d1 · outbound

This paper cites SurrealDriver: Designing LLM-powered Generative Driver Agent Framework based on Human Drivers' Driving-thinking Data.

LimSim Series: An Autonomous Driving Simulation Platform for Validation and Enhancement SurrealDriver: Designing LLM-powered Generative Driver Agent Framework based on Human Drivers' Driving-thinking Data

Reference 7

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unresolved
no resolver link, observed 2026-08-07T22:25:46.090285Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T22:25:46.090285Z digest=sha256:1c4e373eecb1d250d5f93ede9291884dc321f140216c2bd4c2301f5fdd212ba1

Observation c789678f-dc52-4dee-86e4-c0afd9a64a78 · outbound

This paper cites GPT-Driver: Learning to Drive with GPT.

LimSim Series: An Autonomous Driving Simulation Platform for Validation and Enhancement GPT-Driver: Learning to Drive with GPT

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-07T22:25:46.102475Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T22:25:46.102475Z digest=sha256:e7ed70048c3dbba841dfa7307eea82903ead558fc5f1ba64a94cb72605f7b97f

Observation 9da65af0-7b88-4cd2-8f43-9fc8818581ea · outbound

This paper cites Continuously Learning, Adapting, and Improving: A Dual-Process Approach to Autonomous Driving.

LimSim Series: An Autonomous Driving Simulation Platform for Validation and Enhancement Continuously Learning, Adapting, and Improving: A Dual-Process Approach to Autonomous Driving

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-07T22:25:46.106092Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T22:25:46.106092Z digest=sha256:6d1c2d03dc22097f551a53bea2b5595b17979686659a9c071026c9d3630e3043

Observation 7556f694-41ad-47b5-801c-a67a6f35ded7 · outbound

This paper cites From Model-Based to Data-Driven Simulation: Challenges and Trends in Autonomous Driving.

LimSim Series: An Autonomous Driving Simulation Platform for Validation and Enhancement From Model-Based to Data-Driven Simulation: Challenges and Trends in Autonomous Driving

Reference 12

Resolution
metadata mismatch
local_arxiv, observed 2026-08-07T22:25:46.228725Z

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=2026-08-07T22:25:46.110146Z digest=sha256:d934ae91193deea2db7a8c95e6629658b24bceaaf87cecf8a8523bd1c8db5b7a

Observation 1e8dce5b-34d3-4fad-8e1b-5f603507a493 · outbound

This paper cites One Stack to Rule them All: To Drive Automated Vehicles, and Reach for the 4th level.

LimSim Series: An Autonomous Driving Simulation Platform for Validation and Enhancement One Stack to Rule them All: To Drive Automated Vehicles, and Reach for the 4th level

Reference 13

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no resolver link, observed 2026-08-07T22:25:46.113798Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T22:25:46.113798Z digest=sha256:d47ac28cd86ec1f0c85fa2bf6ede4beab93cd7dd987a6daf1838994169cbc62e

Observation 066393f4-aeb3-4551-8209-cb4414fb8cf1 · outbound

This paper cites LanguageMPC: Large Language Models as Decision Makers for Autonomous Driving.

LimSim Series: An Autonomous Driving Simulation Platform for Validation and Enhancement LanguageMPC: Large Language Models as Decision Makers for Autonomous Driving

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-07T22:25:46.117330Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T22:25:46.117330Z digest=sha256:abd0c1d3e6bb1bcb351d9e95b99d5e2db331a8445569f8887ce5c29fde9c4627

Observation 99b71b60-d274-4e6d-b6cc-3f22d7b0a051 · outbound

This paper cites Safety-Enhanced Autonomous Driving Using Interpretable Sensor Fusion Transformer.

LimSim Series: An Autonomous Driving Simulation Platform for Validation and Enhancement Safety-Enhanced Autonomous Driving Using Interpretable Sensor Fusion Transformer

Reference 15

Resolution
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no resolver link, observed 2026-08-07T22:25:46.121263Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T22:25:46.121263Z digest=sha256:1cd103db69bcc68ab0d1c478a36d5d4292abd2ff50b81655b13121cadfad179b

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

This paper cites DiLu: A Knowledge-Driven Approach to Autonomous Driving with Large Language Models.

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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unresolved
no resolver link, observed 2026-08-07T22:25:46.125097Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T22:25:46.125097Z digest=sha256:3af84e4c6a9886236f9a57de2728875c9d77e98c36397b389bc677e9fea811f5

Observation 3a71a93f-576b-4fe0-b043-596309f6e24c · outbound

This paper cites OASim: an Open and Adaptive Simulator based on Neural Rendering for Autonomous Driving.

LimSim Series: An Autonomous Driving Simulation Platform for Validation and Enhancement OASim: an Open and Adaptive Simulator based on Neural Rendering for Autonomous Driving

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-07T22:25:46.128808Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T22:25:46.128808Z digest=sha256:7038735cba2cf10121cc271eaf8a0f09b95ad5ad9616f6207ac37f46daaebb18

Observation 1035c374-b1e7-4f0e-9a03-4cb7be1d2f31 · outbound

This paper cites DriveArena: A Closed-loop Generative Simulation Platform for Autonomous Driving.

LimSim Series: An Autonomous Driving Simulation Platform for Validation and Enhancement DriveArena: A Closed-loop Generative Simulation Platform for Autonomous Driving

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-07T22:25:46.132740Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T22:25:46.132740Z digest=sha256:40b360d8aa38955f13c66cfa9f4f049a5e5ee3e133d18cae8aed80a0eb9fd74f

Observation 771a2d52-5295-4e8c-b81a-7b32dc2d6aca · outbound

This paper cites Trans- portation Research Record 1999, 86–94.

LimSim Series: An Autonomous Driving Simulation Platform for Validation and Enhancement Trans- portation Research Record 1999, 86–94

Reference 2007

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T22:25:46.432468Z

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=2026-08-07T22:25:46.094279Z digest=sha256:93997ceeb7937a4790df70ea29a75ead55a9ef1b33e2b788a41fa604c7ba68e1

Observation 37975c13-9508-4fc5-91aa-95bea80c70f2 · outbound

This paper cites Autonomous Driving with Deep Learning: A Survey of State-of-Art Technologies.

LimSim Series: An Autonomous Driving Simulation Platform for Validation and Enhancement Autonomous Driving with Deep Learning: A Survey of State-of-Art Technologies

Reference 2020

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unresolved
no resolver link, observed 2026-08-07T22:25:46.081586Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T22:25:46.081586Z digest=sha256:c04210a6839f84b7d5c8ff72e60348e7a4f441c880506e25accc5520aff86e2c

Observation 5353f0c9-df9f-4631-9368-528d62900301 · outbound

This paper cites NuPlan: A closed-loop ML-based planning benchmark for autonomous vehicles.

LimSim Series: An Autonomous Driving Simulation Platform for Validation and Enhancement NuPlan: A closed-loop ML-based planning benchmark for autonomous vehicles

Reference 2021

Resolution
unresolved
no resolver link, observed 2026-08-07T22:25:46.069121Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T22:25:46.069121Z digest=sha256:973addb25a6f273023a1c5735e2e8776eaa45cefaf83929a1ee648643e5cc754

Observation abba67bd-effb-4822-8160-ece5d354d984 · outbound

This paper cites Data-Centric Evolution in Autonomous Driving: A Comprehensive Survey of Big Data System, Data Mining, and Closed-Loop Technologies.

LimSim Series: An Autonomous Driving Simulation Platform for Validation and Enhancement Data-Centric Evolution in Autonomous Driving: A Comprehensive Survey of Big Data System, Data Mining, and Closed-Loop Technologies

Reference 2022

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unresolved
no resolver link, observed 2026-08-07T22:25:46.098126Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T22:25:46.098126Z digest=sha256:32d43e7c539aed46a8ee9939b5ebe98cae268ad41a97c8d08960a73031d59f76

Observation 0facf567-d401-4696-af09-00a3be428a11 · outbound

This paper cites an unresolved cited work.

LimSim Series: An Autonomous Driving Simulation Platform for Validation and Enhancement Unresolved cited work

Reference 2023

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unresolved
raw_fallback, observed 2026-08-07T22:25:46.443030Z

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=2026-08-07T22:25:46.077517Z digest=sha256:4fd562a1ea04e4d2e457d9e0872e0bc734a4dc3a7cf2ea4bfe0b30b47e7732d9

Observation 412bc288-d416-456d-8431-81df6eb427cb · outbound

This paper cites AARK: An Open Toolkit for Autonomous Racing Research.

LimSim Series: An Autonomous Driving Simulation Platform for Validation and Enhancement AARK: An Open Toolkit for Autonomous Racing Research

Reference 2024

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T22:25:46.064683Z digest=sha256:e22f177659ca05aea8e8cfd71d0f9c02f7157036ed75d01e13860487284203f5

Pith citing papers

No inbound Pith citation observations are available.