Paper Citation Record · LEDGER

Robust Multi-Agent Bandits with Heavy-Tailed Rewards and Information Asymmetry

As of 20 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 0 inbound Pith citation observations for arXiv:2608.10529.

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

pith.paper-citation-record.v1
2608.10529 v1

Coverage vector

measured 17 of 17 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T14:29:08.831068Z

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

17 of 17 outbound references displayed

verified exact2
verified fuzzy14
unresolved1
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 68ae550b-b91e-4d6f-b1f4-fe46b8236463 · outbound

This paper cites Some aspects of the sequential design of experiments,.

Robust Multi-Agent Bandits with Heavy-Tailed Rewards and Information Asymmetry Some aspects of the sequential design of experiments,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:29:09.107360Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d604ff1d-edd3-4b3c-8998-aaa3d6ececb0 · outbound

This paper cites On the likelihood that one unknown probability exceeds another in view of the evidence of two samples,.

Robust Multi-Agent Bandits with Heavy-Tailed Rewards and Information Asymmetry On the likelihood that one unknown probability exceeds another in view of the evidence of two samples,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-15T14:29:08.767906Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 09b4b8c6-27b7-4acd-8655-268ffb595cbe · outbound

This paper cites Competitive collaborative learning,.

Robust Multi-Agent Bandits with Heavy-Tailed Rewards and Information Asymmetry Competitive collaborative learning,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:29:09.081096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 99ed2fd7-c981-4a4b-9149-605a1a4b52ea · outbound

This paper cites Gossip-based distributed stochastic bandit algorithms,.

Robust Multi-Agent Bandits with Heavy-Tailed Rewards and Information Asymmetry Gossip-based distributed stochastic bandit algorithms,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:29:09.067617Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f154e8b1-8179-41a1-a8f9-ea40aacd5745 · outbound

This paper cites Decentralized learning for multi- player multiarmed bandits,.

Robust Multi-Agent Bandits with Heavy-Tailed Rewards and Information Asymmetry Decentralized learning for multi- player multiarmed bandits,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:29:09.053539Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 9db6ddf2-3ad0-45e3-b35d-07fb5d0eb248 · outbound

This paper cites Multi-player multi-armed bandits with collision- dependent reward distributions,.

Robust Multi-Agent Bandits with Heavy-Tailed Rewards and Information Asymmetry Multi-player multi-armed bandits with collision- dependent reward distributions,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:29:09.040262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 09b7f914-bc72-4213-af2d-54480a202786 · outbound

This paper cites Online Learning for Cooperative Multi-Player Multi-Armed Bandits.

Robust Multi-Agent Bandits with Heavy-Tailed Rewards and Information Asymmetry Online Learning for Cooperative Multi-Player Multi-Armed Bandits

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-08-15T14:29:08.895048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b7b1c62e-4526-43b8-8f8e-5e3286f00657 · outbound

This paper cites Optimal Cooperative Multiplayer Learning Bandits with Noisy Rewards and No Communication.

Robust Multi-Agent Bandits with Heavy-Tailed Rewards and Information Asymmetry Optimal Cooperative Multiplayer Learning Bandits with Noisy Rewards and No Communication

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-08-15T14:29:08.873684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 141758a2-1d63-43ba-8e6b-612d6d2e5287 · outbound

This paper cites A survey on multi-player bandits,.

Robust Multi-Agent Bandits with Heavy-Tailed Rewards and Information Asymmetry A survey on multi-player bandits,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:29:09.025699Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 16858117-f499-4313-8726-9d6dd450f97f · outbound

This paper cites Bandits with heavy tail,.

Robust Multi-Agent Bandits with Heavy-Tailed Rewards and Information Asymmetry Bandits with heavy tail,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:29:09.011114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 51c9ba4e-fc78-4b2b-bf64-b45942a6f819 · outbound

This paper cites Deterministic sequencing of exploration and exploitation for multi-armed bandit problems,.

Robust Multi-Agent Bandits with Heavy-Tailed Rewards and Information Asymmetry Deterministic sequencing of exploration and exploitation for multi-armed bandit problems,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:29:08.996239Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation ee7517e3-cc40-4012-8bca-bd1082bd2ef1 · outbound

This paper cites Pure exploration of multi- armed bandits with heavy-tailed payoffs.,.

Robust Multi-Agent Bandits with Heavy-Tailed Rewards and Information Asymmetry Pure exploration of multi- armed bandits with heavy-tailed payoffs.,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:29:08.981463Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 0118c07f-47dc-4eef-8436-e3745a41a5d1 · outbound

This paper cites Almost optimal algorithms for linear stochastic bandits with heavy-tailed payoffs,.

Robust Multi-Agent Bandits with Heavy-Tailed Rewards and Information Asymmetry Almost optimal algorithms for linear stochastic bandits with heavy-tailed payoffs,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:29:08.966281Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 66f362fb-b338-4dbd-aa25-00a27fb094df · outbound

This paper cites Minimax optimal bandits for heavy tail rewards,.

Robust Multi-Agent Bandits with Heavy-Tailed Rewards and Information Asymmetry Minimax optimal bandits for heavy tail rewards,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:29:08.950543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f77943eb-1f42-41c3-966b-03e81884aa88 · outbound

This paper cites Catoni-style confidence sequences for heavy- tailed mean estimation,.

Robust Multi-Agent Bandits with Heavy-Tailed Rewards and Information Asymmetry Catoni-style confidence sequences for heavy- tailed mean estimation,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:29:08.936445Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 6d77b853-b69f-494d-b7f2-cb224df82c9d · outbound

This paper cites Cooperative multi-agent bandits with heavy tails,.

Robust Multi-Agent Bandits with Heavy-Tailed Rewards and Information Asymmetry Cooperative multi-agent bandits with heavy tails,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:29:08.923096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 15abbc86-84dd-4595-9d12-7cf76cba8f16 · outbound

This paper cites Multi-agent multi-armed bandit with fully heavy- tailed dynamics,.

Robust Multi-Agent Bandits with Heavy-Tailed Rewards and Information Asymmetry Multi-agent multi-armed bandit with fully heavy- tailed dynamics,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:29:08.908843Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Pith citing papers

No inbound Pith citation observations are available.