Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
SMARTS: Scalable Multi-Agent Reinforcement Learning Training School for Autonomous Driving
As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2010.09776.
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 2026-08-03T06:30:56.289259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-07-14T17:36:19.344296Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T06:49:38.031790Z
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 29bdc39d-cd9c-4508-ad93-949906d72dbb · inbound
CHARMS: A Cognitive Hierarchical Agent for Reasoning and Motion Stylization in Autonomous Driving cites this paper.
CHARMS: A Cognitive Hierarchical Agent for Reasoning and Motion Stylization in Autonomous Driving SMARTS: Scalable Multi-Agent Reinforcement Learning Training School for Autonomous Driving
Reference 17
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T22:02:10.935143Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 9ed56b8b-fb29-489a-9079-fd39df6c3d1f · inbound
Evo-Memory: Benchmarking LLM Agent Test-time Learning with Self-Evolving Memory cites this paper.
Evo-Memory: Benchmarking LLM Agent Test-time Learning with Self-Evolving Memory SMARTS: Scalable Multi-Agent Reinforcement Learning Training School for Autonomous Driving
Reference 89
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-14T23:13:16.486565Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 58949104-f078-4e4d-a38f-da0d850632ba · inbound
RAD-2: Scaling Reinforcement Learning in a Generator-Discriminator Framework cites this paper.
RAD-2: Scaling Reinforcement Learning in a Generator-Discriminator Framework SMARTS: Scalable Multi-Agent Reinforcement Learning Training School for Autonomous Driving
Reference 65
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T11:50:21.194000Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation c54488f0-59b9-4f99-b863-c8f6e117f750 · inbound
ScenarioControl: Vision-Language Controllable Vectorized Latent Scenario Generation cites this paper.
ScenarioControl: Vision-Language Controllable Vectorized Latent Scenario Generation SMARTS: Scalable Multi-Agent Reinforcement Learning Training School for Autonomous Driving
Reference 59
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-10T06:26:27.491370Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 342e6548-30e1-477f-a788-280df1f5bdf8 · inbound
Taming the Curses of Multiagency in Robust Markov Games with Large State Space through Linear Function Approximation cites this paper.
Taming the Curses of Multiagency in Robust Markov Games with Large State Space through Linear Function Approximation SMARTS: Scalable Multi-Agent Reinforcement Learning Training School for Autonomous Driving
Reference 1
- Resolution
- verified exact
- arxiv_id, observed 2026-05-09T06:00:35.931128Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 152a62d6-d64c-413f-91ce-1331973e8ec3 · inbound
FAST: A Framework for Aligned Sampling and Training in Parallel Reinforcement Learning for Autonomous Driving cites this paper.
FAST: A Framework for Aligned Sampling and Training in Parallel Reinforcement Learning for Autonomous Driving SMARTS: Scalable Multi-Agent Reinforcement Learning Training School for Autonomous Driving
Reference 28
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T06:49:38.033695Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation f6a035d1-05aa-43d8-ae6c-e50e2fe09de2 · inbound
FAST: A Framework for Aligned Sampling and Training in Parallel Reinforcement Learning for Autonomous Driving cites this paper.
FAST: A Framework for Aligned Sampling and Training in Parallel Reinforcement Learning for Autonomous Driving SMARTS: Scalable Multi-Agent Reinforcement Learning Training School for Autonomous Driving
Reference 28
- Resolution
- unresolved
- no resolver link, observed 2026-07-14T17:36:19.344296Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.