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Paper Citation Record · LEDGER

Driving in Real Life with Inverse Reinforcement Learning

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2206.03004.

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

pith.paper-citation-record.v1
2206.03004 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T21:23:20.440936Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T20:44:01.886632Z

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 28f613bb-6432-4abc-a2c8-3a3a042ffbf2 · inbound

LearningFlow: Automated Policy Learning Workflow for Urban Driving with Large Language Models cites this paper.

LearningFlow: Automated Policy Learning Workflow for Urban Driving with Large Language Models Driving in Real Life with Inverse Reinforcement Learning

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-10T21:23:20.440936Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:23:20.440936Z digest=sha256:7cf00952892051896e5bc0320a6601757cb7d510389bcd30622143d49215ce95

Observation c47fa578-071c-4baf-b162-46cc300da84f · inbound

Knowledge Integration Strategies in Autonomous Vehicle Prediction and Planning: A Comprehensive Survey cites this paper.

Knowledge Integration Strategies in Autonomous Vehicle Prediction and Planning: A Comprehensive Survey Driving in Real Life with Inverse Reinforcement Learning

Reference 63

Resolution
verified exact
local_arxiv, observed 2026-08-07T20:44:01.890488Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T20:44:01.823630Z digest=sha256:b0345e72ed9d7679e2c9566876742d23db34e3ecc479aa16a67fd6c3f0319def