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Paper Citation Record · LEDGER

Multi-Agent Best Arm Identification in Stochastic Linear Bandits

As of 20 August 2026, this Paper Citation Record lists 55 of 55 outbound references and 0 inbound Pith citation observations for arXiv:2411.13690.

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

pith.paper-citation-record.v1
2411.13690 v2

Coverage vector

measured 55 of 55 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T16:23:08.073087Z

measured 55 of 55 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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

55 of 55 outbound references displayed

  • verified exact1
  • verified fuzzy48
  • unresolved5
  • parse uncertain1
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7622311e-ca41-4d53-af8d-b07b4d482788 · outbound

This paper cites Online Clustering of Bandits.

Multi-Agent Best Arm Identification in Stochastic Linear Bandits Online Clustering of Bandits

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T16:23:08.865256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T16:23:07.828307Z digest=sha256:7a5c047e5e2bfdf4eaee76575048aad8559afc1c413f83244af2ab30df06a7fd

Observation 164844fc-0605-4e57-951c-f2d9f8f5e31c · outbound

This paper cites A Contextual-Bandit Approach to Personalized News Article Recommendation.

Multi-Agent Best Arm Identification in Stochastic Linear Bandits A Contextual-Bandit Approach to Personalized News Article Recommendation

Reference 2

Resolution
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raw_fallback, observed 2026-08-12T16:23:08.851204Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T16:23:07.834272Z digest=sha256:ed5e57a1de16d22fb8cb9f07c7652af8bc029b101ef6b09d71bca479c47e517c

Observation e664dfe1-1491-4bb2-bd04-e2bd11788754 · outbound

This paper cites Collaborative Filtering Bandits.

Multi-Agent Best Arm Identification in Stochastic Linear Bandits Collaborative Filtering Bandits

Reference 3

Resolution
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raw_fallback, observed 2026-08-12T16:23:08.836576Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T16:23:07.838897Z digest=sha256:52b3c12d270e3f941ffa0619271e9fbff2fe7633bb00e305f8af392d74f7bc0f

Observation 05933151-14f2-4f9f-9d09-12e9626ed36e · outbound

This paper cites Contextual Bandits for Adapting Treatment in a Mouse Model of de Novo Carcinogenesis.

Multi-Agent Best Arm Identification in Stochastic Linear Bandits Contextual Bandits for Adapting Treatment in a Mouse Model of de Novo Carcinogenesis

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T16:23:08.822359Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T16:23:07.845075Z digest=sha256:78553dbed2fa7aae5c91d0059de94db38a78ee0000dcdfc6f65311267dbbb5dc

Observation ab2460cf-16fc-4ffa-9369-62804ca779b4 · outbound

This paper cites Sequential Allocation in Clinical Trials.Communications in Statistics-Theory and Methods, 20(3):791–805, 1991.

Multi-Agent Best Arm Identification in Stochastic Linear Bandits Sequential Allocation in Clinical Trials.Communications in Statistics-Theory and Methods, 20(3):791–805, 1991

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T16:23:08.807367Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T16:23:07.851198Z digest=sha256:be9ab4d3f4b717e4c5931ccbf3bdc76162dd3ded592994bef7eb345736676ed3

Observation 5e149937-5903-45a4-82d1-7d100003e5ec · outbound

This paper cites Blanco, and Yuan Zhou.

Multi-Agent Best Arm Identification in Stochastic Linear Bandits Blanco, and Yuan Zhou

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T16:23:08.793203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T16:23:07.856473Z digest=sha256:70fb6ced0ebb245b4040167d5c024ccf0d23e955bfce4dccca95e29cc7739f0f

Observation da2b6d92-c388-42cb-b2c8-ba22d223074d · outbound

This paper cites Online Linear Optimization and Adaptive Routing.Journal of Computer and System Sciences, 74(1):97–114, 2008.

Multi-Agent Best Arm Identification in Stochastic Linear Bandits Online Linear Optimization and Adaptive Routing.Journal of Computer and System Sciences, 74(1):97–114, 2008

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T16:23:08.778834Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T16:23:07.861322Z digest=sha256:04c5aca2207f4f75d890072c5635f2d174c9905a21298928796529cec2de04ff

Observation fbc1d4a5-5ed6-47a8-93bf-60b60f5b69be · outbound

This paper cites Regret Analysis of Stochastic and Nonstochastic Multi-Armed Bandit Problems.Foundations and Trends® in Machine Learning, 5(1):1–122, 2012.

Multi-Agent Best Arm Identification in Stochastic Linear Bandits Regret Analysis of Stochastic and Nonstochastic Multi-Armed Bandit Problems.Foundations and Trends® in Machine Learning, 5(1):1–122, 2012

Reference 8

Resolution
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raw_fallback, observed 2026-08-12T16:23:08.764501Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T16:23:07.865669Z digest=sha256:d2fc502028a40aa3f0efa61831268442ff09956c0c11f4c093479290a3e435b6

Observation 5b2049f0-0d95-4fc9-aafc-4460a30168fb · outbound

This paper cites A Gang of Bandits.Advances in Neural Information Processing Systems, 26, 2013.

Multi-Agent Best Arm Identification in Stochastic Linear Bandits A Gang of Bandits.Advances in Neural Information Processing Systems, 26, 2013

Reference 9

Resolution
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raw_fallback, observed 2026-08-12T16:23:08.750069Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T16:23:07.869891Z digest=sha256:40cbac9e070f089f362b43a0d44f4c2b6b7b8e6f9adc07a73ed7e5fdcf2c2894

Observation f3fff143-e92b-4f09-888a-c34195a22fb3 · outbound

This paper cites Cambridge University Press, 2020.

Multi-Agent Best Arm Identification in Stochastic Linear Bandits Cambridge University Press, 2020

Reference 10

Resolution
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no resolver link, observed 2026-08-12T16:23:07.873720Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T16:23:07.873720Z digest=sha256:66d7e48aad62473c2b819a408bd6fc11b829bb4a734d2f8387c65d7d4ba8f456

Observation f1401063-c8ea-4d09-a65e-535b3c902e41 · outbound

This paper cites Best Arm Identification in Multi-Armed Bandits.

Multi-Agent Best Arm Identification in Stochastic Linear Bandits Best Arm Identification in Multi-Armed Bandits

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T16:23:08.726429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T16:23:07.878068Z digest=sha256:508ef8b4cb427caed8d393afbd4895d80d0f03e2cb521124f14bfb502f280ebc

Observation 5e5f8e7d-9b88-4031-a8c6-aaa5b2d15602 · outbound

This paper cites Pure Exploration in Multi-Armed Bandits Problems.

Multi-Agent Best Arm Identification in Stochastic Linear Bandits Pure Exploration in Multi-Armed Bandits Problems

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T16:23:08.712724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T16:23:07.883571Z digest=sha256:1625c9b6148c4c0c6e18f6ba6fc1c8acfcfdfb1690b84ca2d04d060f3bf8706e

Observation ae376ecb-2079-4e11-ad56-a69c1929cf92 · outbound

This paper cites Almost Optimal Exploration in Multi-Armed Bandits.

Multi-Agent Best Arm Identification in Stochastic Linear Bandits Almost Optimal Exploration in Multi-Armed Bandits

Reference 13

Resolution
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raw_fallback, observed 2026-08-12T16:23:08.699615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T16:23:07.888781Z digest=sha256:655b1116ca6f50db9f97728face3beb094450d129cddb99fd45804abc4335186

Observation 5e9358aa-62ff-46d1-9304-a80a4f8251eb · outbound

This paper cites Towards Instance Optimal Bounds for Best Arm Identification.

Multi-Agent Best Arm Identification in Stochastic Linear Bandits Towards Instance Optimal Bounds for Best Arm Identification

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T16:23:08.685296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T16:23:07.893618Z digest=sha256:0e9303432556b0840baf390a1427e63085ea7b265d0d1a00632d32865f3f368a

Observation c114ecc2-5cd7-4fdb-b460-57a966c0b604 · outbound

This paper cites Optimal Best Arm Identification with Fixed Confidence.

Multi-Agent Best Arm Identification in Stochastic Linear Bandits Optimal Best Arm Identification with Fixed Confidence

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T16:23:08.672146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T16:23:07.898034Z digest=sha256:259a58f91ae01f3a8af2903987c24464cf3cc8fed05c5394a2ebdc8a6be905a5

Observation 6c70e84e-8e2c-470e-ad13-17018ee93cb4 · outbound

This paper cites The Sample Complexity of Exploration in the Multi-Armed Bandit Problem.

Multi-Agent Best Arm Identification in Stochastic Linear Bandits The Sample Complexity of Exploration in the Multi-Armed Bandit Problem

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T16:23:08.658989Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T16:23:07.902298Z digest=sha256:04bfdb92d78dd25f1ee850f400445ea237201b77307c47c8d28d3b9d4ef646ec

Observation efadcf32-8c6b-458a-86b6-4a8e7d2f53af · outbound

This paper cites Improved Algorithms for Linear Stochastic Bandits.

Multi-Agent Best Arm Identification in Stochastic Linear Bandits Improved Algorithms for Linear Stochastic Bandits

Reference 17

Resolution
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raw_fallback, observed 2026-08-12T16:23:08.644662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T16:23:07.906429Z digest=sha256:4f1bfe9af39bc427ce9aff449ac9dd4d2323d93e3d510d09f4207a750e385c9b

Observation e9c1d573-b42f-4333-b112-a9cf41beed91 · outbound

This paper cites Using Confidence Bounds for Exploitation-Exploration Trade-Offs.Journal of Machine Learning Research, 3(Nov):397–422, 2002.

Multi-Agent Best Arm Identification in Stochastic Linear Bandits Using Confidence Bounds for Exploitation-Exploration Trade-Offs.Journal of Machine Learning Research, 3(Nov):397–422, 2002

Reference 18

Resolution
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raw_fallback, observed 2026-08-12T16:23:08.631743Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T16:23:07.910529Z digest=sha256:05d260b01f0191b61b067d5999becd1aa57d0d36b5e975d7dcb4129f10d2b37e

Observation eae644fa-2e14-42af-b072-38a17521d71e · outbound

This paper cites Multi-Agent Learning with Heterogeneous Linear Contextual Bandits.

Multi-Agent Best Arm Identification in Stochastic Linear Bandits Multi-Agent Learning with Heterogeneous Linear Contextual Bandits

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T16:23:08.618612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T16:23:07.914893Z digest=sha256:3b086d69288e62a9e60f54cb70b8445c6177b2e219cbd95ac99e7bc54fd4850d

Observation 1cd8de4e-40aa-493d-954d-74bdb0c0e35b · outbound

This paper cites Multi-Agent Heterogeneous Stochastic Linear Bandits.

Multi-Agent Best Arm Identification in Stochastic Linear Bandits Multi-Agent Heterogeneous Stochastic Linear Bandits

Reference 20

Resolution
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raw_fallback, observed 2026-08-12T16:23:08.605113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T16:23:07.919283Z digest=sha256:02a6b37fd40a0a3dfef3d0b79a0c8488a144a76e8ac5ae77d0305f9f97f7bf7c

Observation 972319fe-c0e9-445e-bdf7-f622fea5eb55 · outbound

This paper cites A Simple and Provably Efficient Algorithm for Asynchronous Federated Contextual Linear Bandits.Advances in Neural Information Processing Systems, 35:4762–4775, 2022.

Multi-Agent Best Arm Identification in Stochastic Linear Bandits A Simple and Provably Efficient Algorithm for Asynchronous Federated Contextual Linear Bandits.Advances in Neural Information Processing Systems, 35:4762–4775, 2022

Reference 21

Resolution
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raw_fallback, observed 2026-08-12T16:23:08.591436Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T16:23:07.923213Z digest=sha256:1c513d71f5cbaa099b260bf5f65f3cc80018968cf3ddd48ab3a1602bbc77b022

Observation b8908530-7d0e-445d-ba11-dfb065502f43 · outbound

This paper cites Collaborative Learning for Deep Neural Networks.

Multi-Agent Best Arm Identification in Stochastic Linear Bandits Collaborative Learning for Deep Neural Networks

Reference 22

Resolution
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raw_fallback, observed 2026-08-12T16:23:08.577591Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T16:23:07.926877Z digest=sha256:d12dad4884ed701e164fc466cb61ac3f16eff03dc48f03712ec2fe396a4a6e6e

Observation f51e6786-cff5-43a3-bfde-fed4d7849ba1 · outbound

This paper cites Multi-head Collaborative Learning for Graph Neural Networks.Neurocomputing, 499:47–53, 2022.

Multi-Agent Best Arm Identification in Stochastic Linear Bandits Multi-head Collaborative Learning for Graph Neural Networks.Neurocomputing, 499:47–53, 2022

Reference 23

Resolution
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raw_fallback, observed 2026-08-12T16:23:08.564115Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T16:23:07.932207Z digest=sha256:89a1e4ed94a6fc2d4475047878f3314368a36a787e4a6b66fabd87a25e4c18a3

Observation 0c2a10e7-a13a-4c9f-8165-bcf701b6ef4b · outbound

This paper cites Pure Exploration in Asynchronous Federated Bandits.

Multi-Agent Best Arm Identification in Stochastic Linear Bandits Pure Exploration in Asynchronous Federated Bandits

Reference 24

Resolution
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no resolver link, observed 2026-08-12T16:23:07.936851Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T16:23:07.936851Z digest=sha256:fd4844715ac7150c33dffd4b3bba33e6e9f5cb7fc2ce410ae4bd6092106fd09a

Observation f281c76d-27d0-4fad-9b39-0e053945c771 · outbound

This paper cites Multi-Armed Bandits in Multi-Agent Networks.

Multi-Agent Best Arm Identification in Stochastic Linear Bandits Multi-Armed Bandits in Multi-Agent Networks

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T16:23:08.550586Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T16:23:07.942457Z digest=sha256:43189aea2a36786d1c6ba4080b403d29da92e50a2f7618b85c26c81c4f81988e

Observation 792900b3-fa0a-482f-a338-4cc08dd506d4 · outbound

This paper cites CRC press, 2013.

Multi-Agent Best Arm Identification in Stochastic Linear Bandits CRC press, 2013

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T16:23:08.535734Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T16:23:07.947527Z digest=sha256:1c8f433da874836b618d55ad41df152b6be12030726ea830f691f2cab3a16338

Observation 4c64768a-3d0a-48d0-b4fc-3c3339f8c2b8 · outbound

This paper cites Constant-Time Distributed Dominating Set Approximation.

Multi-Agent Best Arm Identification in Stochastic Linear Bandits Constant-Time Distributed Dominating Set Approximation

Reference 27

Resolution
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raw_fallback, observed 2026-08-12T16:23:08.523075Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T16:23:07.951869Z digest=sha256:19a8ca1b3e7e57af89ef05cc2a0f075a6f1862120ffb33f6f7d041e2a01038c3

Observation 3a667564-a170-456c-971a-a9cd1596d1a4 · outbound

This paper cites On the Domination Number of a Random Graph.The Electronic Journal of Combinatorics, R37, 2001.

Multi-Agent Best Arm Identification in Stochastic Linear Bandits On the Domination Number of a Random Graph.The Electronic Journal of Combinatorics, R37, 2001

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T16:23:08.510475Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T16:23:07.956420Z digest=sha256:bc66207ba99d37c67dcf6e38d5b629a8a442ec7a01bed9883d61db57714923fe

Observation 1e824dec-d2a9-48a7-980c-067207bae3ee · outbound

This paper cites Robust Pure Exploration in Linear Bandits with Limited Budget.

Multi-Agent Best Arm Identification in Stochastic Linear Bandits Robust Pure Exploration in Linear Bandits with Limited Budget

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T16:23:08.497454Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T16:23:07.960602Z digest=sha256:843745f50dd067a6d0e12a61cf78952fba74d0a58fd69c68e82cdbd6782b05fc

Observation 38290c6d-efa7-4dcf-8274-a51c46959e90 · outbound

This paper cites On Correlation and Budget Constraints in Model-Based Bandit Optimization with Application to Automatic Machine Learning.

Multi-Agent Best Arm Identification in Stochastic Linear Bandits On Correlation and Budget Constraints in Model-Based Bandit Optimization with Application to Automatic Machine Learning

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T16:23:08.483045Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T16:23:07.965239Z digest=sha256:de0e595a9641390d9bcecbbb775d14c535149250a5b823e58a0f55c167505474

Observation f38ba131-f183-4cd9-b4bc-2fff36e86743 · outbound

This paper cites An Empirical Process Approach to the Union Bound: Practical Algorithms for Combinatorial and Linear Bandits.Advances in Neural Information Processing Systems, 33:10371–10382, 2020.

Multi-Agent Best Arm Identification in Stochastic Linear Bandits An Empirical Process Approach to the Union Bound: Practical Algorithms for Combinatorial and Linear Bandits.Advances in Neural Information Processing Systems, 33:10371–10382, 2020

Reference 31

Resolution
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raw_fallback, observed 2026-08-12T16:23:08.469410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T16:23:07.969652Z digest=sha256:aa8278263434ed0e6f184536273d727ae80a3680a2c37fcf10ef2181c4b22213

Observation ed845ed1-8721-4d0c-8d35-3c2e2ea141d7 · outbound

This paper cites Fixed-Budget Best-Arm Identification in Structured Bandits.

Multi-Agent Best Arm Identification in Stochastic Linear Bandits Fixed-Budget Best-Arm Identification in Structured Bandits

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-12T16:23:07.974522Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T16:23:07.974522Z digest=sha256:7dc005c9e8a10b6ee5f76babc3bddf91c803c685d4923ddf22694219e431d5a4

Observation eb8673c7-112d-4a0a-a563-8f9df7db1c5f · outbound

This paper cites Minimax Optimal Fixed-Budget Best Arm Identification in Linear Bandits.

Multi-Agent Best Arm Identification in Stochastic Linear Bandits Minimax Optimal Fixed-Budget Best Arm Identification in Linear Bandits

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T16:23:08.455218Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T16:23:07.979098Z digest=sha256:6a7e5dbde905a6875c2755a9b2f77c3934acea2f38d554d5cbdf9e72630d54f5

Observation e408ef52-c0c6-4e45-9182-d9335de5789e · outbound

This paper cites Contextual Bandits in a Collaborative Environment.

Multi-Agent Best Arm Identification in Stochastic Linear Bandits Contextual Bandits in a Collaborative Environment

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T16:23:08.441943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T16:23:07.983168Z digest=sha256:d88b10da90ec9a62477daaabd6d6d9652af719b3afa302bbda77214107b2a5ce

Observation fb46dd74-eba6-4d45-adaa-44a0c2db478d · outbound

This paper cites Collaborative Pure Exploration in Kernel Bandit.

Multi-Agent Best Arm Identification in Stochastic Linear Bandits Collaborative Pure Exploration in Kernel Bandit

Reference 35

Resolution
verified exact
local_arxiv, observed 2026-08-12T16:23:08.130272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T16:23:07.986691Z digest=sha256:bb5e6af0c1c48c199e0e6e99dec4c914251710fdc55f531b4c6f76036b1425cb

Observation 7942a6c6-a1ae-4aa8-81df-036f3799e2e4 · outbound

This paper cites Communication-Efficient Collaborative Regret Minimization in Multi-Armed Bandits.

Multi-Agent Best Arm Identification in Stochastic Linear Bandits Communication-Efficient Collaborative Regret Minimization in Multi-Armed Bandits

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T16:23:08.427752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T16:23:07.991030Z digest=sha256:4323cb49f705abf6e40bfa1940540471faa25816322da7e518c0729745e43de1

Observation bafa94a0-2b5a-4282-a726-4a17371e917e · outbound

This paper cites Collaborative Learning of Stochastic Bandits Over a Social Network.IEEE/ACM Transactions on Networking, 26(4):1782–1795, 2018.

Multi-Agent Best Arm Identification in Stochastic Linear Bandits Collaborative Learning of Stochastic Bandits Over a Social Network.IEEE/ACM Transactions on Networking, 26(4):1782–1795, 2018

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T16:23:08.413735Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T16:23:07.995126Z digest=sha256:29b8c1f356a9d69ae30abd7512555dcdc193063d4e75083c1a1b3b60fa6d2fd1

Observation 124c63c8-c786-4f0e-a991-65a33a2d3480 · outbound

This paper cites Distributed Learning in Multi-Armed Bandit with Multiple Players.IEEE Transactions on Signal Processing, 58(11):5667–5681, 2010.

Multi-Agent Best Arm Identification in Stochastic Linear Bandits Distributed Learning in Multi-Armed Bandit with Multiple Players.IEEE Transactions on Signal Processing, 58(11):5667–5681, 2010

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T16:23:08.399808Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T16:23:07.999312Z digest=sha256:db17b7c32666640431b5429eda26f1cacbbc8f55db9653812a9785808db02363

Observation f45de048-6102-47ed-90b6-bce8477c7241 · outbound

This paper cites Gossip-Based Distributed Stochastic Bandit Algorithms.

Multi-Agent Best Arm Identification in Stochastic Linear Bandits Gossip-Based Distributed Stochastic Bandit Algorithms

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T16:23:08.386979Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T16:23:08.004070Z digest=sha256:cb706452ff88b0ce99dd42f9a531628407c45cf370d69190fe9a15a789a75674

Observation 5d5ab809-ba7b-472c-a491-b5a0c1376c72 · outbound

This paper cites Distributed Multi-Armed Bandits.IEEE Transactions on Automatic Control, 2023.

Multi-Agent Best Arm Identification in Stochastic Linear Bandits Distributed Multi-Armed Bandits.IEEE Transactions on Automatic Control, 2023

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T16:23:08.373907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T16:23:08.007798Z digest=sha256:795221a6ec6b7bdcb8aec239530b57dadad6d53924157d68ce6385d8f6983e5b

Observation 77a880a2-fdfe-4978-802e-e99441dc38dd · outbound

This paper cites Distributed Contextual Linear Bandits with Minimax Optimal Communication Cost.

Multi-Agent Best Arm Identification in Stochastic Linear Bandits Distributed Contextual Linear Bandits with Minimax Optimal Communication Cost

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T16:23:08.360053Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T16:23:08.011648Z digest=sha256:4df2e04c6c943aa8ac0187c9e3a1d0b7d578203304c814e5b7633fbcf0b15495

Observation 4f5e75bf-3cc2-4913-89dc-df49a93d8f4d · outbound

This paper cites Multiagent Low-dimensional Linear Bandits.

Multi-Agent Best Arm Identification in Stochastic Linear Bandits Multiagent Low-dimensional Linear Bandits

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T16:23:08.344795Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T16:23:08.015991Z digest=sha256:592f0b91e5a5660db319311a55f97b35d3133f508f829bc5970ac8195e627d97

Observation ed1ba07e-842a-47d7-b9c2-97a3fceac33a · outbound

This paper cites Differentially-Private Federated Linear Bandits.

Multi-Agent Best Arm Identification in Stochastic Linear Bandits Differentially-Private Federated Linear Bandits

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T16:23:08.330788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T16:23:08.020817Z digest=sha256:3ae190fec608528fd3dc184da0a38080b9b5955abec99fbca2d6071f8c454b94

Observation bafc062a-96c9-4eaf-b3fd-4e44ce0309a6 · outbound

This paper cites Federated Linear Contextual Bandits.

Multi-Agent Best Arm Identification in Stochastic Linear Bandits Federated Linear Contextual Bandits

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T16:23:08.316316Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T16:23:08.025372Z digest=sha256:c43cee1814551a31942a9297e55f6d99d40ec06d41b3fb0cac686359dae05b0b

Observation 5cb11652-3628-4b82-9a34-1e131b96838b · outbound

This paper cites Asynchronous Upper Confidence Bound Algorithms for Federated Linear Bandits.

Multi-Agent Best Arm Identification in Stochastic Linear Bandits Asynchronous Upper Confidence Bound Algorithms for Federated Linear Bandits

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T16:23:08.302315Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T16:23:08.029508Z digest=sha256:a4d795959530e2ac15414729429f7e8e84184b47c06e84b7cdbc7d495dffb7cb

Observation 7f4625ae-ba1d-4e00-b4f1-41108f76f7ad · outbound

This paper cites Distributed Bandit Learning: Near-Optimal Regret with Efficient Communication.

Multi-Agent Best Arm Identification in Stochastic Linear Bandits Distributed Bandit Learning: Near-Optimal Regret with Efficient Communication

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-12T16:23:08.034163Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T16:23:08.034163Z digest=sha256:70e7f17cda19b147e5f389091507fde89dcd3632e69805135db1d7016f6ba713

Observation 25bd45dc-34d2-418a-a71d-a66381c09810 · outbound

This paper cites Collaborative Multi- Agent Stochastic Linear Bandits.

Multi-Agent Best Arm Identification in Stochastic Linear Bandits Collaborative Multi- Agent Stochastic Linear Bandits

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T16:23:08.288361Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T16:23:08.038855Z digest=sha256:12221b3ede69507f6e610fa8f1560ae255698c52e45a62e5789ad8cd1499e2b3

Observation 62c2ad38-4e42-42fb-8df1-0f41db7767e1 · outbound

This paper cites Collaborative Best Arm Identification in Multi-Armed Bandits.

Multi-Agent Best Arm Identification in Stochastic Linear Bandits Collaborative Best Arm Identification in Multi-Armed Bandits

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T16:23:08.275103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T16:23:08.043123Z digest=sha256:7d3e33da50e67d4976849916f10706b51951da7a03510ae7296028f2e6b23ec6

Observation 6f1e50d3-d893-4d53-99b6-2e72b6ce3987 · outbound

This paper cites SIAM, 2006.

Multi-Agent Best Arm Identification in Stochastic Linear Bandits SIAM, 2006

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T16:23:08.261942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T16:23:08.047914Z digest=sha256:7f6589bbd71f5eca5b22681952768c075c6a533d46da87a64f560c51d9e14a16

Observation 2f659c16-140a-46cf-9cf8-06fa0a77fc19 · outbound

This paper cites SIAM, 2016.

Multi-Agent Best Arm Identification in Stochastic Linear Bandits SIAM, 2016

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T16:23:08.247479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T16:23:08.051957Z digest=sha256:139ea3ed8c26da0a88dbb8fea6dd1cf1b745964217d78f17278559c432f86c1d

Observation cda056db-c340-4d32-bee9-f98cde73cf43 · outbound

This paper cites The MovieLens Datasets: History and Context.ACM Transactions on Interactive Intelligent Systems, 5(4):1–19, 2015.

Multi-Agent Best Arm Identification in Stochastic Linear Bandits The MovieLens Datasets: History and Context.ACM Transactions on Interactive Intelligent Systems, 5(4):1–19, 2015

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T16:23:08.232404Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T16:23:08.056376Z digest=sha256:c608045ebc6908276e91051b0e875e0b31e4ca02687f16a30fa762fe167a7e95

Observation c1f99859-3a1d-4b23-ad70-a0cecacf74a7 · outbound

This paper cites The Equivalence of Two Extremum Problems.Canadian Journal of Mathematics, 12:363–366, 1960.

Multi-Agent Best Arm Identification in Stochastic Linear Bandits The Equivalence of Two Extremum Problems.Canadian Journal of Mathematics, 12:363–366, 1960

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T16:23:08.217717Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T16:23:08.061065Z digest=sha256:49567cc93383ebafbf5108bfb6ccd04c7a866dfd15df073a3c03a94f14307156

Observation e23a06e3-963e-413e-99e5-fed34ddfd8e0 · outbound

This paper cites an unresolved cited work.

Multi-Agent Best Arm Identification in Stochastic Linear Bandits Unresolved cited work

Reference 53

Resolution
parse uncertain
raw_fallback, observed 2026-08-12T16:23:08.203191Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T16:23:08.065086Z digest=sha256:a1166cba0022d5cf5edd5f4f79fbc88600d19d3b99e4b8aeeecccf998f964594

Observation 5c020792-b027-4733-a6a7-39cd81e72d87 · outbound

This paper cites an unresolved cited work.

Multi-Agent Best Arm Identification in Stochastic Linear Bandits Unresolved cited work

Reference 54

Resolution
unresolved
raw_fallback, observed 2026-08-12T16:23:08.188842Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T16:23:08.069282Z digest=sha256:e4f594cd2b92371c0c38973a22cac291c7c5050ab30be82a65f24bb629c8fac6

Observation ac3930ee-1ccd-4f77-8463-4796d0868588 · outbound

This paper cites Where g(π) = max a∈A ∥a∥2 V (π)−1 , with V (π) = X a∈A π(a)aa⊤ Furthermore, there exists a minimiserπ∗ of g such that |Supp(π∗)| ≤d(d + 1)/2.

Multi-Agent Best Arm Identification in Stochastic Linear Bandits Where g(π) = max a∈A ∥a∥2 V (π)−1 , with V (π) = X a∈A π(a)aa⊤ Furthermore, there exists a minimiserπ∗ of g such that |Supp(π∗)| ≤d(d + 1)/2

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T16:23:08.174324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T16:23:08.073087Z digest=sha256:b57246b59326f09f6f9dc574f16135d43139f726233333221fa477f11abbd59d

Pith citing papers

No inbound Pith citation observations are available.