Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Multi-Player Bandits: A Trekking Approach
As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:1809.06040.
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 2026-08-04T06:34:03.388597+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-05-24T08:41:17.836280Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-05-24T08:44:14.223255Z
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 981d600a-325e-4c13-b76e-3bed24442232 · inbound
Near-Optimal Privacy-Preserving Learning for Max-Min Fair Multi-Agent Bandits cites this paper.
Near-Optimal Privacy-Preserving Learning for Max-Min Fair Multi-Agent Bandits Multi-Player Bandits: A Trekking Approach
Reference 15
- Resolution
- verified exact
- local_arxiv, observed 2026-05-24T08:44:14.226071Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.