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Paper Citation Record · LEDGER

Efficient Reinforcement Learning for Autonomous Driving with Parameterized Skills and Priors

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2305.04412.

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

pith.paper-citation-record.v1
2305.04412 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 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 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T11:35:37.909317Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T03:56:35.165382Z

Reference resolution

0 of 0 outbound references displayed

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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 4db15e49-e45a-4027-bbda-cf940f6d9675 · inbound

OpenEMMA: Open-Source Multimodal Model for End-to-End Autonomous Driving cites this paper.

OpenEMMA: Open-Source Multimodal Model for End-to-End Autonomous Driving Efficient Reinforcement Learning for Autonomous Driving with Parameterized Skills and Priors

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-11T11:35:37.909317Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:35:37.909317Z digest=sha256:2f3b1d870bcd300d270e3664e57eedb17aa36406aa9dbd3e44679c2c80d54822

Observation ace7d922-ddd8-4f84-b9bb-c15ba6cb4097 · inbound

Learning-based Autonomous Oversteer Control and Collision Avoidance cites this paper.

Learning-based Autonomous Oversteer Control and Collision Avoidance Efficient Reinforcement Learning for Autonomous Driving with Parameterized Skills and Priors

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-07T15:25:21.570810Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:25:21.570810Z digest=sha256:6bd16d0d0f4b06c29f26d9c2e7ae3436bf6244a2261b8f6bd7a96117618d7997

Observation deb5b73d-9e6a-4d36-b0f5-8bb3538f37bf · inbound

Scenario-Based Hierarchical Reinforcement Learning for Automated Driving Decision Making cites this paper.

Scenario-Based Hierarchical Reinforcement Learning for Automated Driving Decision Making Efficient Reinforcement Learning for Autonomous Driving with Parameterized Skills and Priors

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-06T21:57:37.722224Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:57:37.722224Z digest=sha256:2f0fc22f3e7b800940c19f263eb0a087639064fc118752ed983369e77b4670ab

Observation ac8b9e02-3baa-49c5-ab26-6e94e1dc97a3 · inbound

Decision Transformer-Based Drone Trajectory Planning with Dynamic Safety-Efficiency Trade-Offs cites this paper.

Decision Transformer-Based Drone Trajectory Planning with Dynamic Safety-Efficiency Trade-Offs Efficient Reinforcement Learning for Autonomous Driving with Parameterized Skills and Priors

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-06T12:44:00.065259Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:44:00.065259Z digest=sha256:ac56191c0d3303af45ca70f62d89cd6e92b2a8fddecb480c20021296ee13a698

Observation 64093467-0a56-4ce8-aa72-b159878d7a16 · inbound

IRL-VLA: Training an Vision-Language-Action Policy via Reward World Model cites this paper.

IRL-VLA: Training an Vision-Language-Action Policy via Reward World Model Efficient Reinforcement Learning for Autonomous Driving with Parameterized Skills and Priors

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-05T23:41:31.827833Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:41:31.827833Z digest=sha256:400821f7564f72e062f50551354348366cb473239c6b41c04e6fdc8d1d5eb137

Observation 9acd43ad-286d-4227-9b0f-12c01efd24b7 · inbound

Intrinsic Vicarious Conditioning for Deep Reinforcement Learning cites this paper.

Intrinsic Vicarious Conditioning for Deep Reinforcement Learning Efficient Reinforcement Learning for Autonomous Driving with Parameterized Skills and Priors

Reference 59

Resolution
verified exact
arxiv_id, observed 2026-05-13T06:07:22.318071Z

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=arxiv_source observed=2026-05-13T06:04:25.695287Z digest=sha256:f40bcb230b21c0583c0500f0ec9a0b09badf95997b9b3965d2c3c7e2d418c511

Observation 88d91aaf-60a4-4084-9c2b-37811cc55d49 · inbound

MAGNIFIED: RL Fine-tuning of Multimodal Large Language Models for Motion Planning cites this paper.

MAGNIFIED: RL Fine-tuning of Multimodal Large Language Models for Motion Planning Efficient Reinforcement Learning for Autonomous Driving with Parameterized Skills and Priors

Reference 22

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T03:56:35.166922Z

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=2026-06-28T09:31:56.712360Z digest=sha256:a3343ccfd2fe61cbb8d7c3666b5be90a09e03b2409a9daacb99a44cde9c64619

Observation 8ca493b0-3abd-4869-a208-d7b9e5f71bd0 · inbound

AutoPath: Learning Transferable Goal-Conditioned Stochastic Path Prior for Safe Navigation Without Human Demonstrations cites this paper.

AutoPath: Learning Transferable Goal-Conditioned Stochastic Path Prior for Safe Navigation Without Human Demonstrations Efficient Reinforcement Learning for Autonomous Driving with Parameterized Skills and Priors

Reference 20

Resolution
unresolved
no resolver link, observed 2026-07-14T03:31:04.614079Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T03:31:04.614079Z digest=sha256:df987ce7e458c5a359ce80f24f31707214986f2e9b0ce3009a3c75b77b769b6b

Observation 9d0fbb59-76ed-436e-9c7b-3324bd98fe61 · inbound

CosmosAlign: Adapting a World Foundation Model for Generative Traffic Video Forecasting cites this paper.

CosmosAlign: Adapting a World Foundation Model for Generative Traffic Video Forecasting Efficient Reinforcement Learning for Autonomous Driving with Parameterized Skills and Priors

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-11T00:28:52.319765Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T00:28:52.319765Z digest=sha256:a11c9167f764778444b59a81ae339029c65fce94802e9a44803273187b7537ad