Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Model-Free Non-Stationary RL: Near-Optimal Regret and Applications in Multi-Agent RL and Inventory Control
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2010.03161.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-03T03:01:39.324907Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
9
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 0fe8e462-4df1-4cd4-be59-fd0cd6758d7a · inbound
Online Learning in MDPs with Partially Adversarial Transitions and Losses cites this paper.
Online Learning in MDPs with Partially Adversarial Transitions and Losses Model-Free Non-Stationary RL: Near-Optimal Regret and Applications in Multi-Agent RL and Inventory Control
Reference 2026
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T03:01:39.324907Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 252b8257-08f1-4bad-a9a0-fbefa03447a0 · inbound
DARLING: Detection Augmented Reinforcement Learning with Non-Stationary Guarantees cites this paper.
DARLING: Detection Augmented Reinforcement Learning with Non-Stationary Guarantees Model-Free Non-Stationary RL: Near-Optimal Regret and Applications in Multi-Agent RL and Inventory Control
Reference 5
- Resolution
- malformed identifier
- arxiv_id, observed 2026-05-10T08:27:51.715561Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 3af71a45-cb6f-4b64-b56c-62f299048ab7 · inbound
DARLING: Detection Augmented Reinforcement Learning with Non-Stationary Guarantees cites this paper.
DARLING: Detection Augmented Reinforcement Learning with Non-Stationary Guarantees Model-Free Non-Stationary RL: Near-Optimal Regret and Applications in Multi-Agent RL and Inventory Control
Reference 5
- Resolution
- malformed identifier
- arxiv_id, observed 2026-05-13T07:42:30.694419Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation e0b47cc3-ed42-4455-a96a-56751a515c7f · inbound
Priced Motion Through Optimal Faces: A Normal-Fan Geometry for Non-Stationary Adversarial MDPs cites this paper.
Priced Motion Through Optimal Faces: A Normal-Fan Geometry for Non-Stationary Adversarial MDPs Model-Free Non-Stationary RL: Near-Optimal Regret and Applications in Multi-Agent RL and Inventory Control
Reference 23
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-06-30T09:24:31.610307Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 95a7b86e-fb5b-488b-ada1-444d9e8e0316 · inbound
Training with (Swap) Regret Loss in a Single-Layer Self-Attention Model: A Case Study on the Probability Simplex cites this paper.
Training with (Swap) Regret Loss in a Single-Layer Self-Attention Model: A Case Study on the Probability Simplex Model-Free Non-Stationary RL: Near-Optimal Regret and Applications in Multi-Agent RL and Inventory Control
Reference 93
- Resolution
- unresolved
- no resolver link, observed 2026-07-31T23:51:57.156793Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.