Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
V-Learning -- A Simple, Efficient, Decentralized Algorithm for Multiagent RL
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2110.14555.
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 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-09T01:03:36.664136Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-02T12:36:56.453527Z
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 49e2b052-d71b-420e-8e56-835465a3b089 · inbound
Reinforcement Learning on Dyads to Enhance Medication Adherence cites this paper.
Reinforcement Learning on Dyads to Enhance Medication Adherence V-Learning -- A Simple, Efficient, Decentralized Algorithm for Multiagent RL
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T01:03:36.664136Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9046df84-e3c7-4561-affd-f0112bffafbc · inbound
Incentivize without Bonus: Provably Efficient Model-based Online Multi-agent RL for Markov Games cites this paper.
Incentivize without Bonus: Provably Efficient Model-based Online Multi-agent RL for Markov Games V-Learning -- A Simple, Efficient, Decentralized Algorithm for Multiagent RL
Reference 30
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T20:38:32.459881Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2c102419-2b9f-48c5-a9c2-a2e015e5063a · inbound
Decentralized Collective World Model for Emergent Communication and Coordination cites this paper.
Decentralized Collective World Model for Emergent Communication and Coordination V-Learning -- A Simple, Efficient, Decentralized Algorithm for Multiagent RL
Reference 12
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T21:42:11.474558Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 3a825803-a28a-442c-b7d2-831213d857ff · inbound
Solving Zero-Sum Convex Markov Games cites this paper.
Solving Zero-Sum Convex Markov Games V-Learning -- A Simple, Efficient, Decentralized Algorithm for Multiagent RL
Reference 57
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T23:55:55.468336Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f0fba221-0e6e-4b2e-9221-fd8a34d175f5 · inbound
Corruption-robust Offline Multi-agent Reinforcement Learning From Human Feedback cites this paper.
Corruption-robust Offline Multi-agent Reinforcement Learning From Human Feedback V-Learning -- A Simple, Efficient, Decentralized Algorithm for Multiagent RL
Reference 6
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T21:19:29.057981Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 719380bb-5286-492c-a38f-a8c7cf2f568f · 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 V-Learning -- A Simple, Efficient, Decentralized Algorithm for Multiagent RL
Reference 6
- Resolution
- verified exact
- arxiv_id, observed 2026-05-09T06:00:36.023585Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation a170204b-593d-43a0-b2c1-2c54ab997d0c · inbound
Sample-efficient inductive matrix completion with noise and inexact side-information cites this paper.
Sample-efficient inductive matrix completion with noise and inexact side-information V-Learning -- A Simple, Efficient, Decentralized Algorithm for Multiagent RL
Reference 158
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-20T14:08:21.046990Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation bd06b4d4-e721-428a-ba68-b8ceeb5c596d · inbound
Regret Minimization with Adaptive Opponents in Repeated Games cites this paper.
Regret Minimization with Adaptive Opponents in Repeated Games V-Learning -- A Simple, Efficient, Decentralized Algorithm for Multiagent RL
Reference 34
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T12:36:56.455831Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 4e6ec9f4-feba-47dc-90c0-1f99416eb1a2 · inbound
PAC Learning in Turn-Based Stochastic Games with Reachability Objectives: A Decentralized Private Approach via Expected Conditional Distance cites this paper.
PAC Learning in Turn-Based Stochastic Games with Reachability Objectives: A Decentralized Private Approach via Expected Conditional Distance V-Learning -- A Simple, Efficient, Decentralized Algorithm for Multiagent RL
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T00:59:12.832865Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.