Paper Citation Record · LEDGER

Deep Reinforcement Learning for Autonomous Driving: A Survey

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2002.00444.

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

pith.paper-citation-record.v1
2002.00444 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 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 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:33:41.612228Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T04:27:36.349591Z

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 c85ed91c-08d0-468c-bea9-2269536f6c5c · inbound

A Framework for Adversarial Analysis of Decision Support Systems Prior to Deployment cites this paper.

A Framework for Adversarial Analysis of Decision Support Systems Prior to Deployment Deep Reinforcement Learning for Autonomous Driving: A Survey

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-07T13:33:41.612228Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2e6a45a0-9bee-4608-80df-30b917f176a3 · inbound

Policy-Based Trajectory Clustering in Offline Reinforcement Learning cites this paper.

Policy-Based Trajectory Clustering in Offline Reinforcement Learning Deep Reinforcement Learning for Autonomous Driving: A Survey

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-07T05:01:02.932706Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 12626bad-d57e-4948-a465-eb20acfe51ef · inbound

Insider Attacks in Multi-Agent LLM Consensus Systems cites this paper.

Insider Attacks in Multi-Agent LLM Consensus Systems Deep Reinforcement Learning for Autonomous Driving: A Survey

Reference 89

Resolution: verified exact; arxiv_id, observed 2026-05-12T08:41:23.671609Z

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.

Observation 29a3f9de-22d7-4051-b86e-7c831c9fbfd5 · inbound

Fast and Highly Expressive Policy Learning for Offline Reinforcement Learning via Bootstrapped Flow Q-Learning cites this paper.

Fast and Highly Expressive Policy Learning for Offline Reinforcement Learning via Bootstrapped Flow Q-Learning Deep Reinforcement Learning for Autonomous Driving: A Survey

Reference 9

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T04:27:36.350932Z

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.

Observation 6907df1e-86d9-4a20-915d-838f3a29e075 · inbound

Precision positioning in free-space optical communication systems via PID control tuned by RL cites this paper.

Precision positioning in free-space optical communication systems via PID control tuned by RL Deep Reinforcement Learning for Autonomous Driving: A Survey

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-01T22:01:03.947355Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.