Pith. sign in

Paper Citation Record · LEDGER

Multi-Agent Best Arm Identification in Stochastic Linear Bandits

As of 13 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 2026-08-13T06:32:02.005865+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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T16:23:07.828307Z digest=sha256:bb11cf0a8ee66bc67fb432541bc55d60249b0b3ce7e79ac293a195460a0353a2

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
verified fuzzy
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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T16:23:07.834272Z digest=sha256:bdd6d1de2dc061983f5a3234688bc31d9949e0ff6d1fdd4591a9414b45fb0dbb

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
verified fuzzy
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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T16:23:07.838897Z digest=sha256:6b904e914a0bff6a204841efbfc357b9a4973e3ba70f34b3458a4ec3b555b963

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T16:23:07.845075Z digest=sha256:5d518929cb6d7a8bbcc095ad17ad3be1c20808c371e7bc8f74e02331b3285afb

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T16:23:07.851198Z digest=sha256:a6ee0488194b4de481fcc54eac48a7b73d320bb18dee5e739743d771824475f5

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T16:23:07.856473Z digest=sha256:b3e26c112f6d15edabac2802c41df9b11bd334e57729ed6064627829b7879952

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T16:23:07.861322Z digest=sha256:c92ac66d9df0954f8b4545dfef0e16aef2ea435693f507a9151eea65d32307d9

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
verified fuzzy
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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T16:23:07.865669Z digest=sha256:7bba2373c6e9f3acbcd6a26d312e3aca87c9adc0f10bb5c217142f4da0c23ebb

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
verified fuzzy
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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T16:23:07.869891Z digest=sha256:e4619730c8090dab7aa806a17f605590b97aeea5902b9a05506f5b3d1a9f6d5c

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
unresolved
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=sha256:92afefc41286d79c7066b0de7ee16e7f6c1bd0655a44977b108cb7b101585fda

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T16:23:07.878068Z digest=sha256:1c6023b90206753a48dc8886f990f597b102e6677d9d4803de4ffc2ba67f1287

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T16:23:07.883571Z digest=sha256:ca5ca1eca005a54ab6c7ccea9a03bd55fc710fec0c3825eb9274c33fdbe1dea2

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
verified fuzzy
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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T16:23:07.888781Z digest=sha256:08cc9f3990af12824b6fa1b17dd1071293ed43210d808f4d9b593bff554e68aa

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T16:23:07.893618Z digest=sha256:2668a4c38b5030502078730075d722ff89c3af53e469f51b55fc689998ed8f0c

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T16:23:07.898034Z digest=sha256:cd35506e95b5e13496c9383f118c3b1fa754b341366f834b513e8b8275672774

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T16:23:07.902298Z digest=sha256:063f79bbea27e61946994de32db208d9fe966a4b153d58e0486407dee228ae40

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
verified fuzzy
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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T16:23:07.906429Z digest=sha256:9828146759c0fabd7e625fe53807ec1c1364ef5e18505f050e5bde69a89afe4c

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
verified fuzzy
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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T16:23:07.910529Z digest=sha256:2c7ade3ba4d373e9951d3b2a23bac72ab144f087cebc4e2e70cc96a6a9395fb4

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T16:23:07.914893Z digest=sha256:ee01a7e07fabc69f5bb0cb105239fb60ca6d32a9b2e736f81a3182074a8f4f76

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
verified fuzzy
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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T16:23:07.919283Z digest=sha256:911e670f2e630eae47348b973b63a954489e989c4d78776f0c9fedc131a05677

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
verified fuzzy
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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T16:23:07.923213Z digest=sha256:a8fe916e0ee6f19a6ecf102565723529e0a8e69d3d72be5b91d61b774de50668

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
verified fuzzy
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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T16:23:07.926877Z digest=sha256:d04fa7b68ccac880f6109e6d2a9bd75c558bb69202c3ebea215443b40ec49efd

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
verified fuzzy
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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T16:23:07.932207Z digest=sha256:0b5d27a4b85c9ca0ee175326a2fdad629db2df03e3838c0db9f1d4e89dc2f82e

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
unresolved
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:e4ad383047d86aefd4086442a01c83f9ea7fd245bb0f1403418571274e0b634b

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T16:23:07.942457Z digest=sha256:2b285d0709dfe2214b0fece2671c829d721dcac40234ad80556e2460d6b88189

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T16:23:07.947527Z digest=sha256:3f1605316bb98595c8f4810fc1e54b9d782cf8be555373feeeab90ba5de250e6

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
verified fuzzy
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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T16:23:07.951869Z digest=sha256:e2836857847fff0c77177646c85cd375e4701fed0d9d239c3551113f53331d15

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T16:23:07.956420Z digest=sha256:21826a094636325ada97c2fb5a711756c0d1facc9ab88543a124ab71bc7f3647

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T16:23:07.960602Z digest=sha256:3b4937861eaf9bf9d3e1a26e4d94c261615e46b944bbb77a7d1dec63b13de4ee

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T16:23:07.965239Z digest=sha256:e3723738ab703f2be90873bf5c4401ad4941e6a7793ae9ee394cdfd701aa5fae

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
verified fuzzy
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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T16:23:07.969652Z digest=sha256:d514c8058c347df60483e1ad99ad1eed158ec5be1793b53505ab60b99e4f20a4

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=sha256:47f476d5ca78894488d37171858c01163feb9c86d376b65a1a19d525bf4dea6f

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T16:23:07.979098Z digest=sha256:78bf28e5af8f354d735cfcab6b5da78eace83c02015e3ef11a67504e23e16430

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T16:23:07.983168Z digest=sha256:ebea748d61cb3e1982316ed6a0c26814a2838f50a3d5bbf9d3cbf3b02481ce63

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T16:23:07.986691Z digest=sha256:b8c75a0898595499d2aec24e72fe44e292d102730c68802d7a969ba16d60a591

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T16:23:07.991030Z digest=sha256:ce69994d0c0b6037ec6a5533d5310d028d46d39dbadea79c6874c9ba49d7e1b1

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T16:23:07.995126Z digest=sha256:b3be3f68324a748313c0e951b7b1dcfa252b6fec80fe2b4aaff7a4331d78c709

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T16:23:07.999312Z digest=sha256:4f2a470bc908198a8b03c6429e19605078b2c0c216b9671ff9cfe87316817c59

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T16:23:08.004070Z digest=sha256:c2a89d27e59de0f6d326389ad2f0f8603940b61e29d915dca2684b62f69f5d08

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T16:23:08.007798Z digest=sha256:b4695a1f695ee974692450447af52f9dbe893c1b4a87a30734e03a3e30d90119

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T16:23:08.011648Z digest=sha256:f3fb8e6ec5948d6c55180cf75338907409af00d74170796f37b2535be5371be0

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T16:23:08.015991Z digest=sha256:5538c9cdfd08649b223c57681553f80eedd04e64225bdf4e528259c9a18e34c0

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T16:23:08.020817Z digest=sha256:bb7a146c80c78c2ba97d241b035e22cdbfe576c3c3fc3b9acda0bd0be5675cd3

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T16:23:08.025372Z digest=sha256:89b277a7fa238a0ffb486d34e49707eba25957fab214bbf6b515963b5d50e559

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T16:23:08.029508Z digest=sha256:5c03b1bf81e03a0b5ef847719b8596af77357cec72dd5fffa882a09e750832e6

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=sha256:14c0e67f63cd4698149c7b4b74047efc0c4d97f1a77b682a8b87f84be406877a

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T16:23:08.038855Z digest=sha256:080d57827b4160bce7eacc5e578892f939c4151e3355074fb75eb20fef861544

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T16:23:08.043123Z digest=sha256:9e06a939ffc7fc8d75ee4a770d7e3df943600b90b467d033cb94188a90414bc2

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T16:23:08.047914Z digest=sha256:1fc00f4eea97e7e7dc59b32c13b2645ddd94e2586e32b8c2f4344ed1ebecfeac

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T16:23:08.051957Z digest=sha256:0ae6757ce95160b2d2e9f8d35396fd338dd077df8e881469fa0f5ecc49e3fc61

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T16:23:08.056376Z digest=sha256:01957843d498ddff5a4be05a12e1afa6140a599037575c19ac2a1a2dd67181e1

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T16:23:08.061065Z digest=sha256:54c06a338cff7d218eec644c1283a7e90127398aa91abe4601137761d9e91a8d

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T16:23:08.065086Z digest=sha256:e845748a3ee96cb1faff651d9a64f596fe693c1e9ff78a5bd0bbbeb03523cd78

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T16:23:08.069282Z digest=sha256:8c9da85c252baad80a28078a9e34a8a81f6661ff25ed4f80dc8e26b372263c2a

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T16:23:08.073087Z digest=sha256:778210e193d63b124304a157841fefb4fe81c54e74383ebb1cc1801567696586

Pith citing papers

No inbound Pith citation observations are available.