Paper Citation Record · LEDGER

Efficient Learning of Safe Driving Policy via Human-AI Copilot Optimization

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2202.10341.

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

pith.paper-citation-record.v1
2202.10341 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T10:47:59.636135Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T19:56:10.416267Z

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 e77de19a-57a6-40fa-875c-cdf0a94b45a5 · inbound

Joint Decision-Making in Robot Teleoperation: When are Two Heads Better Than One? cites this paper.

Joint Decision-Making in Robot Teleoperation: When are Two Heads Better Than One? Efficient Learning of Safe Driving Policy via Human-AI Copilot Optimization

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-10T10:47:59.636135Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation db5b28be-2882-4cfd-992e-ae5ffe0228cc · inbound

Bounded Autonomy for Enterprise AI: Typed Action Contracts and Consumer-Side Execution cites this paper.

Bounded Autonomy for Enterprise AI: Typed Action Contracts and Consumer-Side Execution Efficient Learning of Safe Driving Policy via Human-AI Copilot Optimization

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-10T11:20:11.007289Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 3dd501a8-d0e7-4bd4-aca7-29c9edb38a61 · inbound

OHP-RL: Online Human Preference as Guidance in Reinforcement Learning for Robot Manipulation cites this paper.

OHP-RL: Online Human Preference as Guidance in Reinforcement Learning for Robot Manipulation Efficient Learning of Safe Driving Policy via Human-AI Copilot Optimization

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-20T17:38:48.188246Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation c9d30eed-3ef8-44a3-9feb-4865b1296467 · inbound

OHP-RL: Online Human Preference as Guidance in Reinforcement Learning for Robot Manipulation cites this paper.

OHP-RL: Online Human Preference as Guidance in Reinforcement Learning for Robot Manipulation Efficient Learning of Safe Driving Policy via Human-AI Copilot Optimization

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-06-30T19:45:00.851580Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation b2c245e3-e9de-43e1-a95d-67ed23389d15 · inbound

DeMaVLA: A Vision-Language-Action Foundation Model for Generalizable Deformable Manipulation cites this paper.

DeMaVLA: A Vision-Language-Action Foundation Model for Generalizable Deformable Manipulation Efficient Learning of Safe Driving Policy via Human-AI Copilot Optimization

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-07-01T19:56:10.417816Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 6c394f58-9fb9-4ee9-917a-09f6137ae47d · inbound

WARP-RM: A Warp-Augmented Relative Progress Reward Model for Data Curation cites this paper.

WARP-RM: A Warp-Augmented Relative Progress Reward Model for Data Curation Efficient Learning of Safe Driving Policy via Human-AI Copilot Optimization

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-07-01T17:15:51.844603Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 77653c1c-9148-4132-b55d-c3e2a8f08b70 · inbound

WARP-RM: A Warp-Augmented Relative Progress Reward Model for Data Curation cites this paper.

WARP-RM: A Warp-Augmented Relative Progress Reward Model for Data Curation Efficient Learning of Safe Driving Policy via Human-AI Copilot Optimization

Reference 16

Resolution: unresolved; no resolver link, observed 2026-07-12T11:25:18.198611Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e991a0d1-5ca7-40ae-af7c-1bcacc5062ea · inbound

WARP-RM: A Warp-Augmented Relative Progress Reward Model for Data Curation cites this paper.

WARP-RM: A Warp-Augmented Relative Progress Reward Model for Data Curation Efficient Learning of Safe Driving Policy via Human-AI Copilot Optimization

Reference 16

Resolution: unresolved; no resolver link, observed 2026-07-13T07:17:21.581451Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.