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Paper Citation Record · LEDGER

Multiplayer Bandit Learning, from Competition to Cooperation

As of 21 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 2026-08-20T06:33:59.587034+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

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-14T15:38:05.199479Z digest=sha256:5c6a08ae7e33d1b27d3fb9817b6b7fc89aa8fbcae015443c57b1642431b98380

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-14T15:38:05.207884Z digest=sha256:11548188d02710294164ef2be62ffabf2f05b082b6ea84494bb1e31c95471e41

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-14T15:38:05.214960Z digest=sha256:0268f155c23695fbd8631854ace392277af20c54ba8d361dfef09c87efbd4b06

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-14T15:38:05.227175Z digest=sha256:6df8bea074d91d5e5ad0fdc7ee29867572a2b4a0befed0c87293eba484e9f1f8

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-14T15:38:05.233305Z digest=sha256:3a7c8efb128d4689d3c4bbdb07a0ada3d4c49853c45343ab76775c14d667e378

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-14T15:38:05.239518Z digest=sha256:6ca09ea7845f2668caa04792cf6a1456bebd6339325d57e5d2c67683733b3370

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-14T15:38:05.247384Z digest=sha256:f0d0f1422ee157fc3f16f69334998532bd5d2fc82a931139c07692dc746bbc01

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-14T15:38:05.253405Z digest=sha256:3fc897cae81a0280984ea394750c54868ac1862ea3f0af13316fdad0f0a595a5

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.

source=arxiv_source observed=2026-08-14T15:38:05.261451Z digest=sha256:5eb1c2fea4370be3ee5d776a489d91362c58cb75366c6134a455887ccece27e1

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-14T15:38:05.271382Z digest=sha256:246312954875a7b46ce3f4a0fcd3f935a15836423824a209db9bef7e7c06e832

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-14T15:38:05.277303Z digest=sha256:406d994f35665fbd9cb366ed584d092cf74d81537c6b81d45f31d43d7d62bb30

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-14T15:38:05.285103Z digest=sha256:dd76049c42ab145d7f3b25f5c15c2364c055b7344417eb4974593f832230d16e

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-14T15:38:05.290492Z digest=sha256:6ac1786921145546cdef0424fe8575a1741ff1d84ce5bec36358f65340394a3b

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-14T15:38:05.295893Z digest=sha256:210ba4bd77b5f89b5e61cfba883b90c0693364918064e837ea73cfef0634379d

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-14T15:38:05.302914Z digest=sha256:4364a35afc9351f5b78765e5e36c2d62fb91edf5db1958f5de171e572cb609bf

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.

source=arxiv_source observed=2026-08-14T15:38:05.308161Z digest=sha256:8e76c48fce1d1823990c3bfe932010df64bea42fafa2fc11a9d18faa69e61fbb

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-14T15:38:05.314196Z digest=sha256:9a86cbd671c57b5fed06be9572d535f6ec41b00304ab08e40b7b9631f5eec949

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-14T15:38:05.320062Z digest=sha256:3a1ce44d2d9e92629ef686d27bbe199d0178218c439f84bb68a0a3917e68fb4e

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.

source=arxiv_source observed=2026-08-14T15:38:05.326427Z digest=sha256:1b28affaa3c3f4827bfad16b46751c3a4a835c8f90f6d3cf64dff53c51ef46da

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-14T15:38:05.332916Z digest=sha256:3f9c7d22304b4cc3d02339bc87f90aae71737e373158d71e1f7f1962b2d2217a

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-14T15:38:05.341605Z digest=sha256:47b4f69b06b857f04f5c3281a4884cc4995c19043538c4c66f12fd3809f09f93

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-14T15:38:05.347397Z digest=sha256:5d1e5bd1e3e50f777e7196e6fd4f9dfeeb06f2fcbc118f915581d70dfa7ac9b5

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-14T15:38:05.352666Z digest=sha256:f13adbea1e2ebf8343a9a60dbf3fffbc2244046f8a5537edd7cbd56ee87ec87f

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-14T15:38:05.358079Z digest=sha256:e46c5673e93a414f4441ca5a5e7b2890407f1934769279c90e059e9f7368ba7d

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-14T15:38:05.364372Z digest=sha256:02adbe7f5b8d5e78b5c7091ebebe7e037e32aafd097fc44a7798afc386e2dda6

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-14T15:38:05.371272Z digest=sha256:dfb1fe5df1f146b14d16cbcc2e32ff69fcc1faf68a0305b7df08a7d3ed942c1e

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-14T15:38:05.378942Z digest=sha256:d9886f9439840d2dcd95eab64bccaa58b94596a0dfd2ae9b9b57edf75b001919

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-14T15:38:05.386001Z digest=sha256:7a3efab267599d6ef964d64dba3901fd44d6c257a0e2056bfe2fd50577ca731f

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-14T15:38:05.392445Z digest=sha256:10d55796281f2bcf0344651713955b545223528d4e05b2a91fd0ae73b0496daa

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-14T15:38:05.398357Z digest=sha256:72991c9ab2d7533dadea404e3720ba68a395b212c495d2590e188a2164d4b8d3

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-14T15:38:05.404203Z digest=sha256:8781fe80336a40a0d3f0d5e482d1280c5446c2363dc92977ad8ca11cc395e6d9

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-14T15:38:05.410980Z digest=sha256:5a0b6c520e8bb8239ed104ddcbb89748af177741bbeb1bd6736fe517f3301ea9

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-14T15:38:05.418021Z digest=sha256:2065d354e44aa9af0070396373c9bab61647746daeef40f5f35adddb26e57123

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-14T15:38:05.423625Z digest=sha256:0482ccfe9ccbcab4c15d57b5f681a31fb14279dbc0e4fe027e9299ff9e45bb91

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-14T15:38:05.429998Z digest=sha256:b34ed2392b7d3486c72464131bb62f33ad6b0561bfb803c0276bfc6fc2ae8460

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-14T15:38:05.441468Z digest=sha256:5f8a227e6583d1480e0818fff58277bfba467fc16cdc12ed522879a97de7a105

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-14T15:38:05.448887Z digest=sha256:b1ab7b5db67936d15abbb36a6b5e3470b38de5a02e0271bbe48f83f59a08eb83

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-14T15:38:05.455408Z digest=sha256:ca7bc3d871863c34e6566598a15dc6212a89e18713cec80cc37e8488961341b1

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.

source=arxiv_source observed=2026-08-14T15:38:05.460881Z digest=sha256:ea52462ca10a74c1dfedfa854270bba69d945b3406f7dee07b21dc8ada53d8c8

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-14T15:38:05.467202Z digest=sha256:b292c9194ec14fbcf282c0cb1d042e9c7ca811579ec9286ce7b113306a518953

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-14T15:38:05.473290Z digest=sha256:7dc9c4ff3613794c437da4e761a79c819576e30c856110b968e76089b2fd584f

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-14T15:38:05.479061Z digest=sha256:b26fb048f9aa4aeda91b0a0ca6131b65247a56b37abb73a728ea759a27fc56da

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-14T15:38:05.484872Z digest=sha256:345f175f8229604a54df44a5c8d4d893cad4ea1fb0dfa39238129e6bafae9fed

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-14T15:38:05.495302Z digest=sha256:cfc0f893da39d885ca37dd966de73ab987343bd95f9767a584e599bf61f4417c

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-14T15:38:05.502207Z digest=sha256:8ac9a810c0aaed5b449747a3844c7fd3f103c59b8ce2822e71274ccbac01bf08

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-14T15:38:05.509332Z digest=sha256:0c30ef3dff9c4f9085be2cb3bb79c450774e6fa092a9efaa8185008a4ec49d15

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-14T15:38:05.515808Z digest=sha256:348282380132568bca718f8c1973fc6c0fb320dae516f868066df0b26e3314cd

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-14T15:38:05.521550Z digest=sha256:e72cd93e84d3ddf2eb03df7f3602cce0fabc5a13e72087d18c45ecf24c76abc7

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-14T15:38:05.529342Z digest=sha256:e53a0e56191a455c444bf68292f65603e706f9d9dd2cb9da1f242a02fb6ec79a

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-14T15:38:05.537579Z digest=sha256:beba7f0640e5e621ef70b17892123521a0e89e319fa4a52e97476b767e853a62

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-14T15:38:05.543358Z digest=sha256:c3c90430e140900c6d89dc446c825af8fa1df63d516df8688023407527ecce2f

Pith citing papers

No inbound Pith citation observations are available.