Pith. sign in

Paper Citation Record · LEDGER

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

As of 22 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 1 inbound Pith citation observation 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 19 of 19 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T18:31:52.356667Z

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=sha256:2337429e010b05afc4eb9cd873dfc529a5f5a0c754e4ad7727e89dd950e74f52

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=sha256:9f476789d06ee6f477b7aabeed89e154a216982b45511559c133e025565aba75

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

Resolution
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=sha256:6e20d9ba3b029fbf14333fa5c70416e9c6c8fabd5bceb2472ffe64e81b59191c

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=sha256:461970ed145f4e2e86845ed70675fc40552ddf55e36aa365f363c80c79d3ea1d

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=sha256:4124b4c7bcf681166cb336a4303bddd45dc3f12fc9e4fd39cf2ef29032a87ae9

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T22:25:46.110146Z digest=sha256:53fca78ddbb05e3a188df7b04aa3b32ed9c5b4aa6bda46e0d1d971f9b9bd0296

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

Resolution
unresolved
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=sha256:51f10df6c8ebf0b22263d418c086159f425ec1b64d7293f755d6e31eb40b5451

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=sha256:9dbeeb2e4cef38156097a9868faff0d889abbeddd6c2d806034da355b4bbc991

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=sha256:16b2ad172bd92288c78624efc4594e8dc12f63ada9607696dcfc77c7a05a8054

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

Resolution
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:e6d58d7cd9a359864bfb8c9d90fab505f2f883d44dd87f87f07b922f31b21bbd

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:ad76d6c962ceaeab2cf2c0dad83d6b71f31efbf772f2bc89f53ed485f8eeaf32

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=sha256:7aecd9d4779e5e9a0ccca0ecec002f6ab12b1ca1842c55c52254928dd5be8172

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T22:25:46.094279Z digest=sha256:40fc5c4dd55c7ec4e6ce15afb176a5f6217825f6a33282d452cd4a4da8ca09c5

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

Resolution
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=sha256:58830928d7414c1f9f06f858684e8cdfbdd208ca3b79bd33005c0250b8968e7a

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=sha256:2cd1f6b963cb9590601c583fd129b45ae472779cdbf4f20ec1bb57ec57d597ba

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

Resolution
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=sha256:06a03967a4aa2201c67c26216cf0382e78a5f2e524f0c2363cf478e021819747

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

Resolution
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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T22:25:46.077517Z digest=sha256:6dd7563308a74e6c9eaf4efb137b852fe90b94316db4c12748dea26bff6852dd

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

Resolution
unresolved
no resolver link, observed 2026-08-07T22:25:46.064683Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T22:25:46.064683Z digest=sha256:548efb950cf2fe7c93029e69910e85c8d3df39d925b1fe4057e8f3f13ebe2734

Pith citing papers

Observation f8334ac1-17b2-4b40-9184-13c9f84766ab · inbound

A Survey of World Models for Autonomous Driving cites this paper.

A Survey of World Models for Autonomous Driving LimSim Series: An Autonomous Driving Simulation Platform for Validation and Enhancement

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-10T18:31:52.356667Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T18:31:52.356667Z digest=sha256:1645fe54bf83d0be8ac2af285527e9fbe9fb855567cd00fbed970a24a5b39312