Pith. sign in

Paper Citation Record · LEDGER

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

As of 10 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
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:af9ddff6f568d67396e0df55a27ae6be6ea8fb6a19f18a0625c92e1913d0aa83

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=sha256:58dae3d50d10a1abc891227fb1860b825fa23feda7cf48a8d8ad34bf7a48e7e0

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:e3a5b338bb538e402525b6c9921292e8db23c75cb090b2f3c35b38e9e6875aa1

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=sha256:858c80f35598af07a91da94ca7b0599b15cb63e70a700383de98ddd73d2311b0

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=sha256:125b66aac9fd20cba4550c03834a929ba53c20de9e3f32c87f66cda85ae3e099

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=sha256:9958b1a934fc76c780ff0c5d9c3c6e545d6e7b94348ce78173a0cc2bd93d3ddc

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=sha256:3a220de5492e92f2e0f1710cd7646b019138e9e91ffea28fefc42d727ddd7c25

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=sha256:6bc26114cc5231c7e8fb87c8a7f03baab6c8ea0b54ac58a8ff2036875e58bfff

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:c19e6a5a580779f25c43bae9f6378652c9e77381b6a48b54f6ee099eadbc6e13

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=sha256:73b6a410aaf476b6d4e9d1d07c5c85b49549f6ed3b81d3219117d0cc005213a6

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=sha256:100bd0ace3c23320e0223fdad037bf72a531c10d7428b5e1b4c0d28398696521

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=sha256:48289ae465f90c2334dd95243dccd428f141764213726ae2c5dfd7142e6bd272

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=sha256:5bfa4e4fb6c0f51455c11137934d719c0bb79b4b79ceb7af4b582a8a9a5a41bb

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=sha256:1ab6a1d3f6600424fdd44df5d7bf94dfff948b59d00e508656c77df24a46a9b4

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=sha256:1a0579c2d0fc3ec6faf1e6cdd8a841a19c63355b1c9d61bef0a37a1c88dff5a6

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=sha256:6ae64528e26e5a53190c5f9964aa9e67ae594c0012e8be81f1d8249f0691c4f8

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T22:25:46.077517Z digest=sha256:4a81153f052ba88dda9fd1bd91a3968b2520d734bde0e627ffa82f73d024bf27

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=sha256:66383657730ddcf4406d31545fe5dfb5e5bd58b493514ea1b65ab6fd804c2d10

Pith citing papers

No inbound Pith citation observations are available.