Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2502.17625.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T00:06:35.457448Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-07T11:07:06.976028Z
0 of 0 outbound references displayed
External citation measurements
No source-named external measurement is stored.
No outbound reference observations are available for this paper version.
Observation 15d9c5c2-89f1-459a-bfff-0843418cd9b5 · inbound
Sample Complexity of Identifying the Nonredundancy of Nontransitive Games in Dueling Bandits Instance-Dependent Regret Bounds for Learning Two-Player Zero-Sum Games with Bandit Feedback
Reference 13
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8aa4244a-7f95-4fe3-8a00-0c655f4cc1ea · inbound
Learning in Matching Games with Bandit Feedback Instance-Dependent Regret Bounds for Learning Two-Player Zero-Sum Games with Bandit Feedback
Reference 22
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation a0eb3204-d47b-4932-989b-f31207c9fd14 · inbound
Probably Correct Optimal Stable Matching under Two-Sided Uncertainty Instance-Dependent Regret Bounds for Learning Two-Player Zero-Sum Games with Bandit Feedback
Reference 27
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a5b7a6fa-ae09-471d-b6e5-d7896b1e8a3d · inbound
Decentralized Multi-Player Q-Learning in Episodic Markov Decision Processes with Information Asymmetry Instance-Dependent Regret Bounds for Learning Two-Player Zero-Sum Games with Bandit Feedback
Reference 55
Source-reported events for the cited work
Unavailable: canonical work link unavailable.