Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Human-compatible driving partners through data-regularized self-play reinforcement learning
As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2403.19648.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-06-27T07:01:12.737217Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T14:28:32.032737Z
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 b6926461-84bb-4688-be35-ebb41d10dda2 · inbound
Artificial Intelligence for Modeling and Simulation of Mixed Automated and Human Traffic cites this paper.
Artificial Intelligence for Modeling and Simulation of Mixed Automated and Human Traffic Human-compatible driving partners through data-regularized self-play reinforcement learning
Reference 109
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T09:26:02.471242Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation e31bd2d6-3d96-4bea-bad6-b34670e14edc · inbound
Shaping Zero-Shot Coordination via State Blocking cites this paper.
Shaping Zero-Shot Coordination via State Blocking Human-compatible driving partners through data-regularized self-play reinforcement learning
Reference 4
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T07:42:30.188244Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 08cfcf2a-d081-47b4-aa25-41837e4f9568 · inbound
Human-like autonomy emerges from self-play and a pinch of human data cites this paper.
Human-like autonomy emerges from self-play and a pinch of human data Human-compatible driving partners through data-regularized self-play reinforcement learning
Reference 21
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T14:28:32.034035Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.