Paper Citation Record · LEDGER

Multiplayer Bandit Learning, from Competition to Cooperation

As of 16 August 2026, this Paper Citation Record lists 51 of 51 outbound references and 0 inbound Pith citation observations for arXiv:1908.01135.

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

pith.paper-citation-record.v1
1908.01135 v4

Coverage vector

measured 51 of 51 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T15:38:05.543358Z

measured 51 of 51 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 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

51 of 51 outbound references displayed

verified exact1
verified fuzzy41
unresolved9
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 48deb3e1-ca44-4939-b9dd-b88cfacdc6bb · outbound

This paper cites Multi-Player Bandits: The Adversarial Case.

Multiplayer Bandit Learning, from Competition to Cooperation Multi-Player Bandits: The Adversarial Case

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-08-14T15:38:05.681351Z

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.

Observation 8174d56e-54bd-402e-afdc-4c8bf8619ef4 · outbound

This paper cites The perils of exploration under competition: A computational modeling approach.

Multiplayer Bandit Learning, from Competition to Cooperation The perils of exploration under competition: A computational modeling approach

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:38:06.814795Z

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.

Observation cfab107e-5a20-4e13-a7ba-8c632032704c · outbound

This paper cites Aumann and Michael Maschler.

Multiplayer Bandit Learning, from Competition to Cooperation Aumann and Michael Maschler

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:38:06.791524Z

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.

Observation 66954a68-ba80-4c82-8bdb-571a421f6031 · outbound

This paper cites Avner and S.

Multiplayer Bandit Learning, from Competition to Cooperation Avner and S

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:38:06.767205Z

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.

Observation 48e70581-a4ba-4c9c-9aa7-c8a77bcd7f24 · outbound

This paper cites The evolution of eusociality.

Multiplayer Bandit Learning, from Competition to Cooperation The evolution of eusociality

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:38:06.747438Z

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.

Observation 43ac1d7b-4e84-483f-9361-2de965df1f92 · outbound

This paper cites Mutual observability and the convergence of actions in a multi-person two-armed bandit model.

Multiplayer Bandit Learning, from Competition to Cooperation Mutual observability and the convergence of actions in a multi-person two-armed bandit model

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:38:06.727682Z

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.

Observation f5ffeddb-a5ab-4145-8b55-3a030a55a2d4 · outbound

This paper cites Corrigendum: Mutual observability and the convergence of actions in a multi-person two-armed bandit model.

Multiplayer Bandit Learning, from Competition to Cooperation Corrigendum: Mutual observability and the convergence of actions in a multi-person two-armed bandit model

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:38:06.707211Z

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.

Observation 6bf9ee80-15d2-4890-bfda-720fe4a85dde · outbound

This paper cites Toward a theory of discounted repeated games with imperfect monitoring.

Multiplayer Bandit Learning, from Competition to Cooperation Toward a theory of discounted repeated games with imperfect monitoring

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:38:06.687545Z

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.

Observation 8f914c91-cd42-4bf1-9c6e-193f6302714a · outbound

This paper cites an unresolved cited work.

Multiplayer Bandit Learning, from Competition to Cooperation Unresolved cited work

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-14T15:38:05.261451Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation df987e68-d776-42e1-914f-0154f6cb22f7 · outbound

This paper cites Multi-armed bandit learning in iot networks: Learning helps even in non-stationary settings.

Multiplayer Bandit Learning, from Competition to Cooperation Multi-armed bandit learning in iot networks: Learning helps even in non-stationary settings

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:38:06.652344Z

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.

Observation 998490d8-5378-4724-a91d-116f450113b0 · outbound

This paper cites Regret analysis of stochastic and nonstochastic multi-armed bandit problems.

Multiplayer Bandit Learning, from Competition to Cooperation Regret analysis of stochastic and nonstochastic multi-armed bandit problems

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:38:06.625426Z

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.

Observation 7fcd9a4d-a94d-4258-bace-59996eb59932 · outbound

This paper cites Berry and Bert Fristedt.

Multiplayer Bandit Learning, from Competition to Cooperation Berry and Bert Fristedt

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:38:06.605353Z

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.

Observation c3bf2b75-04ea-4d9c-901c-fd437aaf5b80 · outbound

This paper cites Bolton and C.

Multiplayer Bandit Learning, from Competition to Cooperation Bolton and C

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:38:06.579441Z

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.

Observation 655728e3-8086-4e88-b8fd-f86fe7a08089 · outbound

This paper cites an unresolved cited work.

Multiplayer Bandit Learning, from Competition to Cooperation Unresolved cited work

Reference 14

Resolution: unresolved; raw_fallback, observed 2026-08-14T15:38:06.553022Z

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.

Observation a3cdc5f7-4a54-4da9-9fc3-d634011d6b7a · outbound

This paper cites Distributed multiplayer bandits - a games of thrones approach.

Multiplayer Bandit Learning, from Competition to Cooperation Distributed multiplayer bandits - a games of thrones approach

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:38:06.525837Z

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.

Observation a5c86351-7a35-4afa-be29-68291b8cd9a0 · outbound

This paper cites Non-Stochastic Multi-Player Multi-Armed Bandits: Optimal Rate With Collision Information, Sublinear Without.

Multiplayer Bandit Learning, from Competition to Cooperation Non-Stochastic Multi-Player Multi-Armed Bandits: Optimal Rate With Collision Information, Sublinear Without

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-14T15:38:05.308161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a73c8169-fe83-4c11-8631-62c4de71b738 · outbound

This paper cites Matthew Weinberg.

Multiplayer Bandit Learning, from Competition to Cooperation Matthew Weinberg

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:38:06.496731Z

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.

Observation ad94c3c7-cf14-4b4a-8618-4b2d52d4095d · outbound

This paper cites an unresolved cited work.

Multiplayer Bandit Learning, from Competition to Cooperation Unresolved cited work

Reference 18

Resolution: unresolved; raw_fallback, observed 2026-08-14T15:38:06.470341Z

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.

Observation ccc8f0eb-986a-4c24-8a6a-3472247c8c3d · outbound

This paper cites SIC-MMAB: Synchronisation Involves Communication in Multiplayer Multi-Armed Bandits.

Multiplayer Bandit Learning, from Competition to Cooperation SIC-MMAB: Synchronisation Involves Communication in Multiplayer Multi-Armed Bandits

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-14T15:38:05.326427Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 000aa404-bccf-44ff-9e0a-567ffe9bf528 · outbound

This paper cites The impact of market structure and learning on the tradeoff between r and d competition and cooperation.

Multiplayer Bandit Learning, from Competition to Cooperation The impact of market structure and learning on the tradeoff between r and d competition and cooperation

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:38:06.448929Z

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.

Observation e1de452b-9053-4a84-a4bb-a442309108fa · outbound

This paper cites Strategic experimentation with exponential bandits.

Multiplayer Bandit Learning, from Competition to Cooperation Strategic experimentation with exponential bandits

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:38:06.428771Z

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.

Observation 2cbcb4b9-b122-4597-9194-fe51b810d165 · outbound

This paper cites Price of competition and dueling games.

Multiplayer Bandit Learning, from Competition to Cooperation Price of competition and dueling games

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:38:06.405114Z

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.

Observation 7dc56d63-99fb-467f-ad54-057b11db6b5b · outbound

This paper cites Cooperative and noncooperative research and development in duopoly with spillovers.

Multiplayer Bandit Learning, from Competition to Cooperation Cooperative and noncooperative research and development in duopoly with spillovers

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:38:06.382020Z

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.

Observation b62f9839-5613-48f9-bb1a-3f30a7895df5 · outbound

This paper cites Incentivizing exploration.

Multiplayer Bandit Learning, from Competition to Cooperation Incentivizing exploration

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:38:06.358621Z

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.

Observation 0d77b343-26c4-4ce7-8a73-d5297d01b44c · outbound

This paper cites Subgame-perfect equilibria of finite- and infinite-horizon games.

Multiplayer Bandit Learning, from Competition to Cooperation Subgame-perfect equilibria of finite- and infinite-horizon games

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:38:06.334897Z

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.

Observation 4f06afcb-05dd-4819-8fb8-4718d3e45851 · outbound

This paper cites Multi-armed Bandit Allocation Indices.

Multiplayer Bandit Learning, from Competition to Cooperation Multi-armed Bandit Allocation Indices

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:38:06.311270Z

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.

Observation 71f157f1-df21-4e9c-bc21-6f8cf061ba5f · outbound

This paper cites an unresolved cited work.

Multiplayer Bandit Learning, from Competition to Cooperation Unresolved cited work

Reference 27

Resolution: unresolved; raw_fallback, observed 2026-08-14T15:38:06.285887Z

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.

Observation 574cb03c-814c-4478-b3b3-581b53c19d72 · outbound

This paper cites Gittins and D.M.

Multiplayer Bandit Learning, from Competition to Cooperation Gittins and D.M

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:38:06.262173Z

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.

Observation 26fd21b0-321e-4a78-8226-8ab13e5a38a6 · outbound

This paper cites an unresolved cited work.

Multiplayer Bandit Learning, from Competition to Cooperation Unresolved cited work

Reference 29

Resolution: unresolved; raw_fallback, observed 2026-08-14T15:38:06.235192Z

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.

Observation 550fe9f7-0c88-45df-99f2-a7279dd7c01d · outbound

This paper cites an unresolved cited work.

Multiplayer Bandit Learning, from Competition to Cooperation Unresolved cited work

Reference 30

Resolution: unresolved; raw_fallback, observed 2026-08-14T15:38:06.207983Z

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.

Observation 88f3481e-2823-40da-826e-32e4bdc7f164 · outbound

This paper cites Distributed exploration in multi-armed bandits.

Multiplayer Bandit Learning, from Competition to Cooperation Distributed exploration in multi-armed bandits

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:38:06.187239Z

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.

Observation 96cb0896-b2b3-4019-aca3-2c9d4dc81909 · outbound

This paper cites Strategic experimentation with private payoffs.

Multiplayer Bandit Learning, from Competition to Cooperation Strategic experimentation with private payoffs

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:38:06.153558Z

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.

Observation 1324efce-8fe9-4b6e-a5f2-cadc84ab695f · outbound

This paper cites Dueling algorithms.

Multiplayer Bandit Learning, from Competition to Cooperation Dueling algorithms

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:38:06.130520Z

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.

Observation 81a7017c-ede3-4a84-b503-9bfb2a148aae · outbound

This paper cites Decentralized learning for multiplayer multiarmed bandits.

Multiplayer Bandit Learning, from Competition to Cooperation Decentralized learning for multiplayer multiarmed bandits

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:38:06.107190Z

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.

Observation bbd51116-a9fb-4cfe-87a1-a14016182aba · outbound

This paper cites wisdom of the crowd.

Multiplayer Bandit Learning, from Competition to Cooperation wisdom of the crowd

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:38:06.087669Z

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.

Observation 876adb2a-4fe5-4a74-b5ea-9f2f1ca064ee · outbound

This paper cites Karlin and Yuval Peres.

Multiplayer Bandit Learning, from Competition to Cooperation Karlin and Yuval Peres

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:38:06.060233Z

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.

Observation 28126de9-cecd-4af7-8cdb-bd741e32389e · outbound

This paper cites Negatively correlated bandits.

Multiplayer Bandit Learning, from Competition to Cooperation Negatively correlated bandits

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:38:06.033171Z

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.

Observation 183da666-9934-4a39-a01c-62ef49c496aa · outbound

This paper cites Vincent Poor.

Multiplayer Bandit Learning, from Competition to Cooperation Vincent Poor

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:38:06.010846Z

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.

Observation ce50d177-14a8-4180-84fa-4d830909a6fb · outbound

This paper cites Multiplayer bandits without observing collision information.

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.

Observation 470cf327-70b0-4884-91be-6216c390efaf · outbound

This paper cites Bandit Algorithms.

Multiplayer Bandit Learning, from Competition to Cooperation Bandit Algorithms

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:38:05.986342Z

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.

Observation 2b0c5f31-1f6b-4d10-9ca5-1959a25db178 · outbound

This paper cites Distributed learning in multi-armed bandit with multiple players.

Multiplayer Bandit Learning, from Competition to Cooperation Distributed learning in multi-armed bandit with multiple players

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:38:05.964322Z

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.

Observation 615328d3-2438-4d3c-86a2-a28777dbd68e · outbound

This paper cites Bayesian incentive-compatible bandit exploration.

Multiplayer Bandit Learning, from Competition to Cooperation Bayesian incentive-compatible bandit exploration

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:38:05.930488Z

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.

Observation 0d3e49d1-1a81-49a3-a855-d0a88f2211c1 · outbound

This paper cites Competing bandits: Learning under competition.

Multiplayer Bandit Learning, from Competition to Cooperation Competing bandits: Learning under competition

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:38:05.901264Z

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.

Observation 9b2b039f-678b-4872-9a16-323c98d707d7 · outbound

This paper cites Game Theory.

Multiplayer Bandit Learning, from Competition to Cooperation Game Theory

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:38:05.872345Z

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.

Observation 464e5081-d1f8-4ac1-9f2a-1b1bb897ca26 · outbound

This paper cites Nowak, Corina E.

Multiplayer Bandit Learning, from Competition to Cooperation Nowak, Corina E

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:38:05.850260Z

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.

Observation f050e1f5-a2cf-4ffa-bdec-baa9549443d7 · outbound

This paper cites A two-armed bandit theory of market pricing.

Multiplayer Bandit Learning, from Competition to Cooperation A two-armed bandit theory of market pricing

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:38:05.818512Z

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.

Observation af6137bc-bca5-4e69-b135-069329f5e717 · outbound

This paper cites Multi-player bandits - a musical chairs approach.

Multiplayer Bandit Learning, from Competition to Cooperation Multi-player bandits - a musical chairs approach

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:38:05.791528Z

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.

Observation 6c844df9-46da-4d1d-b3cb-6cad4de56e3c · outbound

This paper cites On games of strategic experimentation.

Multiplayer Bandit Learning, from Competition to Cooperation On games of strategic experimentation

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:38:05.766861Z

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.

Observation ea3c1fad-6957-49c1-8586-8e0e29791534 · outbound

This paper cites Social learning in one-arm bandit problems.

Multiplayer Bandit Learning, from Competition to Cooperation Social learning in one-arm bandit problems

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:38:05.745822Z

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.

Observation b2129ff2-a766-411c-8e2b-2debb9045310 · outbound

This paper cites On general minimax theorems.

Multiplayer Bandit Learning, from Competition to Cooperation On general minimax theorems

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:38:05.724834Z

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.

Observation 769ba6c7-ef19-4674-9b71-202e76fedfc7 · outbound

This paper cites Introduction to multi-armed bandits.

Multiplayer Bandit Learning, from Competition to Cooperation Introduction to multi-armed bandits

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:38:05.704903Z

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.

Pith citing papers

No inbound Pith citation observations are available.