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Paper Citation Record · LEDGER

Efficient Reinforcement Learning for Autonomous Driving with Parameterized Skills and Priors

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 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 7 of 7 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 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:25:21.570810Z

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

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
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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 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:ec97f86afc09996ef8b31cf84c3672efa9d58a0c8c60c08949ce4b07535f2277

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:ab4c96c0ec45dff571ddd339a00bcd8c3102bb5320b197d9f10761d41b6d172b

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=sha256:2b34383b0ca4410c6f0610837f020a9b4c5fc138adb7ff40506b3db4b949bccb

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:d7a3dd7da6c8df593eb3da99b14640d6082925df21eea43224e1e8c653f70b91

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

source=arxiv_source observed=2026-05-13T06:04:25.695287Z digest=sha256:8ac1439d72693ef3b1fafa230cf0c6f614f99cbe0fb6daef79814881d06d1c48

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

source=pdf_text observed=2026-06-28T09:31:56.712360Z digest=sha256:807ff9e01a43933afb17b58a68eb27fe4391dfe8d80a8ead9c442337f10ba392

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=sha256:231bc046f8d9c40f27b797dda82ecd7ec663f88aece0f6a40956c23445158fe0