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Paper Citation Record · LEDGER

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

As of 8 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 2026-08-08T06:32:00.761636+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
unresolved
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:b9b6657e7db4afc9384de6c0c016b08ba2a1b02a76ea5d33acf9dded6d07bbe9

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

Resolution
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=sha256:1d629a90a9eb6f2a0a84286b201b1b3891e25ea6ce030f51b8d76096db060057

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=sha256:774d337007ede22dc61208cb2eb0451f86ca2fac4c56e5dd971dcd6a2e20b5bc

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:c8bc69a43878b431550415ab9026e708e94aae9c061170fd85e557f0c33dbd9c

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=sha256:93071dba1e42f3bdafcc04395e4452a7ef94b7cfeabba613946f73b2d4a1e2ef

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T22:25:46.110146Z digest=sha256:d78da9556e8dfd6195f92dd81e2f6efdaaf2f6534eb3c9bc046f1fdfeb0e54b8

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:b3f817b2787dfca0c5d575b404b5f4383d847fa6075325c777145994cf7fdc85

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
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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:b3d0f1f94e99b394ae496f84a0f6dddace2648b16f8d80fd74673d57c4a95725

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
unresolved
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=sha256:9137b8373694a3633608e68774a6f7e56df26f86ece02e9c338e262c204e3b45

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:fb43d5973c3db66971c1350beda0241b98ecbd9af7b91e923934c7b488cf6441

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:f446692cd9f8cf3d310734ad2e10a5d851fb0926f6eba1848c2b105b044edca7

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:b12f68d29bc20e921d1a8b899fe9feff3b226412929616f6df27dc1fed9ee7e9

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T22:25:46.094279Z digest=sha256:c61bc72ce4dc6c79ea02934c53ede263056e1747bd78f386286b6a7daed082a3

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:fdd7dfb67f1297da69a0ae949e03a28b42318b8a700feadb6b0927008244853a

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:afb7225e842f27c7cf31c33f5224f77c14e64435734359cd521ead06848b5e0f

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=sha256:319e70c08ab36dee4f696e4fe573e33f4503b8924ca3f912b82ef69fe003a21b

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T22:25:46.077517Z digest=sha256:57119b46318f42de882c563dca72a5fa3a21ccd2623cdb77e2f3976051a478f3

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=sha256:011e4dd5c045e7acea6b1b8cd033aa8a4154a48c524f62682724d4aeb9308736

Pith citing papers

No inbound Pith citation observations are available.