Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Reinforcement Learning Based Oscillation Dampening: Scaling up Single-Agent RL algorithms to a 100 AV highway field operational test
As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2402.17050.
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 2026-08-13T06:32:02.005865+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T18:01:11.610992Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T18:01:15.308440Z
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 d77fa3ef-1673-4e6f-af73-62f9999253a9 · inbound
Universal Scaling Laws in Freeway Traffic cites this paper.
Universal Scaling Laws in Freeway Traffic Reinforcement Learning Based Oscillation Dampening: Scaling up Single-Agent RL algorithms to a 100 AV highway field operational test
Reference 30
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T18:01:15.406988Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 97d685a5-c085-4f3e-b1d3-35f1272b170d · inbound
Noise-induced stop-and-go traffic dynamics: Modelling and control cites this paper.
Noise-induced stop-and-go traffic dynamics: Modelling and control Reinforcement Learning Based Oscillation Dampening: Scaling up Single-Agent RL algorithms to a 100 AV highway field operational test
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T18:43:12.974239Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.