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Paper Citation Record · LEDGER

Multiplayer bandits without observing collision information

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1808.08416.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
1808.08416 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T15:38:05.460881Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-14T12:58:10.950651Z

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 ce50d177-14a8-4180-84fa-4d830909a6fb · inbound

Multiplayer Bandit Learning, from Competition to Cooperation cites this paper.

Multiplayer Bandit Learning, from Competition to Cooperation Multiplayer bandits without observing collision information

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-14T15:38:05.460881Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T15:38:05.460881Z digest=sha256:ff482a91b8650771b1f4e395dcbbb7ef68058d956c0d615a413957cc2e9f0c65

Observation 4be96a48-523b-43d8-9306-563f668ececa · inbound

Accelerated learning from recommender systems using multi-armed bandit cites this paper.

Accelerated learning from recommender systems using multi-armed bandit Multiplayer bandits without observing collision information

Reference 55

Resolution
verified exact
local_arxiv, observed 2026-08-14T12:58:10.955198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:58:10.551434Z digest=sha256:8687ecafe9dc6bc0551f3a58e79bd59fca64332da28b7ac70c04883f80c372ca