Paper Citation Record · LEDGER

AdaWM: Adaptive World Model based Planning for Autonomous Driving

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2501.13072.

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

pith.paper-citation-record.v1
2501.13072 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:46:48.573729Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T13:59:52.264154Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 3c4be4ea-7fee-4d08-b092-e49086855cb6 · inbound

Reinforced Refinement with Self-Aware Expansion for End-to-End Autonomous Driving cites this paper.

Reinforced Refinement with Self-Aware Expansion for End-to-End Autonomous Driving AdaWM: Adaptive World Model based Planning for Autonomous Driving

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-07T04:46:48.573729Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bef40c03-8329-4655-9286-5c6e761e5a04 · inbound

Agentic Reasoning for Large Language Models cites this paper.

Agentic Reasoning for Large Language Models AdaWM: Adaptive World Model based Planning for Autonomous Driving

Reference 187

Resolution: verified exact; arxiv_id, observed 2026-05-17T15:14:26.177321Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2b65b6e0-7bbc-4a1e-8f11-d87bb2769ff4 · inbound

Human Cognition in Machines: A Unified Perspective of World Models cites this paper.

Human Cognition in Machines: A Unified Perspective of World Models AdaWM: Adaptive World Model based Planning for Autonomous Driving

Reference 176

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T08:12:26.094663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ffbe22fd-6fb5-4e70-9033-d3099aefec09 · inbound

DriveFuture: Future-Aware Latent World Models for Autonomous Driving cites this paper.

DriveFuture: Future-Aware Latent World Models for Autonomous Driving AdaWM: Adaptive World Model based Planning for Autonomous Driving

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-05-12T03:01:18.017831Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 32a36963-5c37-45ff-826e-7966e544e369 · inbound

Reason--Imagine--Act: Closed-Loop LLM Decision Making with World Models for Autonomous Driving cites this paper.

Reason--Imagine--Act: Closed-Loop LLM Decision Making with World Models for Autonomous Driving AdaWM: Adaptive World Model based Planning for Autonomous Driving

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-06-30T18:55:00.807176Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1f3bad97-681f-4e96-8e32-838542c16789 · inbound

PlanRL: A Trajectory Planning Architecture for Reinforcement Learning-based Driving Experts cites this paper.

PlanRL: A Trajectory Planning Architecture for Reinforcement Learning-based Driving Experts AdaWM: Adaptive World Model based Planning for Autonomous Driving

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-07-04T13:59:52.265811Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.