Paper Citation Record · LEDGER

CaRL: Learning Scalable Planning Policies with Simple Rewards

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 inbound Pith citation observations for arXiv:2504.17838.

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

pith.paper-citation-record.v1
2504.17838 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 13 of 13 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 13 of 13 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T15:45:50.027870Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T13:59:52.270237Z

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 3d9169d7-3c53-4a64-88db-feb5ee5545d1 · inbound

End-to-End Crop Row Navigation via LiDAR-Based Deep Reinforcement Learning cites this paper.

End-to-End Crop Row Navigation via LiDAR-Based Deep Reinforcement Learning CaRL: Learning Scalable Planning Policies with Simple Rewards

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-04T15:45:50.027870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a6d06704-b62d-4783-bba3-83f3ecb3e0eb · inbound

Zero-Human Demonstration End-to-end Autonomous Driving with Trajectory Scorer cites this paper.

Zero-Human Demonstration End-to-end Autonomous Driving with Trajectory Scorer CaRL: Learning Scalable Planning Policies with Simple Rewards

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-04T07:54:31.437962Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7f28dc87-b3fd-4a13-b102-b31572796698 · inbound

Goal-Oriented Reactive Simulation for Closed-Loop Trajectory Prediction cites this paper.

Goal-Oriented Reactive Simulation for Closed-Loop Trajectory Prediction CaRL: Learning Scalable Planning Policies with Simple Rewards

Reference 23

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T00:58:26.219951Z

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 ec35f504-c895-4d74-a3db-f860c52472a3 · inbound

Learning Dexterous Grasping from Sparse Taxonomy Guidance cites this paper.

Learning Dexterous Grasping from Sparse Taxonomy Guidance CaRL: Learning Scalable Planning Policies with Simple Rewards

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-13T17:08:00.975998Z

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 13fe5e58-3f3d-4f22-b7b3-69418b13313e · inbound

On Data Thinning for Model Validation in Small Area Estimation cites this paper.

On Data Thinning for Model Validation in Small Area Estimation CaRL: Learning Scalable Planning Policies with Simple Rewards

Reference 24

Resolution: unresolved; no resolver link, observed 2026-07-13T11:14:37.619203Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9b6d7338-4464-4b64-8677-b4786c7c01b3 · inbound

Fail2Drive: Benchmarking Closed-Loop Driving Generalization cites this paper.

Fail2Drive: Benchmarking Closed-Loop Driving Generalization CaRL: Learning Scalable Planning Policies with Simple Rewards

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-11T07:06:00.592800Z

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 9d25453d-cff1-442c-88d1-99b20e707ad9 · inbound

Beyond Self-Play and Scale: A Behavior Benchmark for Generalization in Autonomous Driving cites this paper.

Beyond Self-Play and Scale: A Behavior Benchmark for Generalization in Autonomous Driving CaRL: Learning Scalable Planning Policies with Simple Rewards

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-12T07:16:30.361471Z

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 813d3636-a4bb-4489-ae9d-6ceeb22c4fbb · inbound

MAPLE: Latent Multi-Agent Play for End-to-End Autonomous Driving cites this paper.

MAPLE: Latent Multi-Agent Play for End-to-End Autonomous Driving CaRL: Learning Scalable Planning Policies with Simple Rewards

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-15T04:45:01.098432Z

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 e01fa9b1-c60b-4ba6-b6f7-05985bb9b51d · inbound

MAPLE: Latent Multi-Agent Play for End-to-End Autonomous Driving cites this paper.

MAPLE: Latent Multi-Agent Play for End-to-End Autonomous Driving CaRL: Learning Scalable Planning Policies with Simple Rewards

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-21T07:49:49.990219Z

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 f7174094-d128-4f74-a8bf-b9a81d72064f · inbound

DriveSafer: End-to-End Autonomous Driving with Safety Guidance cites this paper.

DriveSafer: End-to-End Autonomous Driving with Safety Guidance CaRL: Learning Scalable Planning Policies with Simple Rewards

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-19T21:47:48.699813Z

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 29775f65-6292-45d0-95d9-c0df84ef79d6 · inbound

Scaling Self-Play for End-to-End Driving cites this paper.

Scaling Self-Play for End-to-End Driving CaRL: Learning Scalable Planning Policies with Simple Rewards

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-07-04T01:29:22.337007Z

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 efe9097f-183a-45b2-9ca0-f806f1d146e0 · 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 CaRL: Learning Scalable Planning Policies with Simple Rewards

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-07-04T13:59:52.271864Z

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 e2ac9611-57a9-4f69-8dca-5daa9c4378b3 · inbound

CLEAR: Closed-Loop Reinforcement Learning at Scale for End-to-End Autonomous Driving cites this paper.

CLEAR: Closed-Loop Reinforcement Learning at Scale for End-to-End Autonomous Driving CaRL: Learning Scalable Planning Policies with Simple Rewards

Reference 33

Resolution: unresolved; no resolver link, observed 2026-07-12T06:40:47.686215Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.