Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Regret Lower Bounds in Multi-agent Multi-armed Bandit
As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2308.08046.
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 2026-08-19T06:32:44.657259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-09T20:57:55.942687Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T18:51:08.837886Z
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 a75d489d-bbc7-4297-807a-06991d720e1c · inbound
Multi-agent Multi-armed Bandit with Fully Heavy-tailed Dynamics cites this paper.
Multi-agent Multi-armed Bandit with Fully Heavy-tailed Dynamics Regret Lower Bounds in Multi-agent Multi-armed Bandit
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T20:57:55.942687Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6586b312-2d05-4e73-9c5c-f466488b6aa7 · inbound
Heterogeneous Multi-agent Multi-armed Bandits on Stochastic Block Models cites this paper.
Heterogeneous Multi-agent Multi-armed Bandits on Stochastic Block Models Regret Lower Bounds in Multi-agent Multi-armed Bandit
Reference 57
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T11:16:26.151727Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 934ac9ea-04ad-43ff-8c77-845e5dc69df1 · inbound
Bandit Learning in General Open Multi-agent Systems cites this paper.
Bandit Learning in General Open Multi-agent Systems Regret Lower Bounds in Multi-agent Multi-armed Bandit
Reference 174
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T18:51:08.839918Z
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.