Paper Citation Record · LEDGER

Multi-Agent Stochastic Bandits Robust to Adversarial Corruptions

As of 19 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 0 inbound Pith citation observations for arXiv:2411.08167.

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

pith.paper-citation-record.v1
2411.08167 v1

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T22:03:14.932776Z

measured 39 of 39 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

39 of 39 outbound references displayed

verified exact2
verified fuzzy24
unresolved13
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 650e72d9-4096-46a6-87e1-9a87e4aa51fb · outbound

This paper cites write newline.

Multi-Agent Stochastic Bandits Robust to Adversarial Corruptions write newline

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-12T22:03:14.672981Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 12d99804-912c-4c05-a915-ff1878d8b496 · outbound

This paper cites write newline.

Multi-Agent Stochastic Bandits Robust to Adversarial Corruptions write newline

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-12T22:03:14.681994Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c622df53-d566-4d0f-bcda-c6b979918406 · outbound

This paper cites @esa (Ref.

Multi-Agent Stochastic Bandits Robust to Adversarial Corruptions @esa (Ref

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-12T22:03:14.688641Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dad990b7-2fb3-4eea-9829-31760e881857 · outbound

This paper cites an unresolved cited work.

Multi-Agent Stochastic Bandits Robust to Adversarial Corruptions Unresolved cited work

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-12T22:03:14.696174Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f88c9cb0-dcb9-4f11-bd88-ad033d2cfdb3 · outbound

This paper cites Estimate and Replace: A Novel Approach to Integrating Deep Neural Networks with Existing Applications.

Multi-Agent Stochastic Bandits Robust to Adversarial Corruptions Estimate and Replace: A Novel Approach to Integrating Deep Neural Networks with Existing Applications

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-12T22:03:14.703939Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation abcca6f5-12fb-41d5-b09f-fdb4546c863f · outbound

This paper cites Contextual bandit algorithms with supervised learning guarantees.

Multi-Agent Stochastic Bandits Robust to Adversarial Corruptions Contextual bandit algorithms with supervised learning guarantees

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T22:03:15.806640Z

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.

Observation b977f59e-fc10-48c9-839c-69d03c253e6c · outbound

This paper cites Stochastic linear bandits robust to adversarial attacks.

Multi-Agent Stochastic Bandits Robust to Adversarial Corruptions Stochastic linear bandits robust to adversarial attacks

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T22:03:15.773584Z

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.

Observation 97386f91-32e4-4b73-a5f1-008e412e4fe8 · outbound

This paper cites Collaborative Multi-Agent Heterogeneous Multi-Armed Bandits.

Multi-Agent Stochastic Bandits Robust to Adversarial Corruptions Collaborative Multi-Agent Heterogeneous Multi-Armed Bandits

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-08-12T22:03:15.089588Z

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.

Observation 71b08e53-6f6c-438f-a384-f201e5b423e7 · outbound

This paper cites Contextual bandits with linear payoff functions.

Multi-Agent Stochastic Bandits Robust to Adversarial Corruptions Contextual bandits with linear payoff functions

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T22:03:15.739008Z

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.

Observation d40d7df1-2b3b-4cd2-a850-508839332fe7 · outbound

This paper cites Concentration of measure for the analysis of randomized algorithms.

Multi-Agent Stochastic Bandits Robust to Adversarial Corruptions Concentration of measure for the analysis of randomized algorithms

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T22:03:15.715903Z

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.

Observation ad8d9923-48a7-4d26-bc31-b87c4875e77f · outbound

This paper cites Action elimination and stopping conditions for the multi-armed bandit and reinforcement learning problems.

Multi-Agent Stochastic Bandits Robust to Adversarial Corruptions Action elimination and stopping conditions for the multi-armed bandit and reinforcement learning problems

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-12T22:03:14.748795Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a6369b98-6713-4ce6-8338-da39ce2c6ca4 · outbound

This paper cites Better algorithms for stochastic bandits with adversarial corruptions.

Multi-Agent Stochastic Bandits Robust to Adversarial Corruptions Better algorithms for stochastic bandits with adversarial corruptions

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T22:03:15.680220Z

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.

Observation d7170273-ce16-47d9-a4f2-9ec46337ab57 · outbound

This paper cites Distributed exploration in multi-armed bandits.

Multi-Agent Stochastic Bandits Robust to Adversarial Corruptions Distributed exploration in multi-armed bandits

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T22:03:15.657776Z

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.

Observation 613865b0-ac49-481a-963f-89ed214bb464 · outbound

This paper cites Bayesian exploration with heterogeneous agents.

Multi-Agent Stochastic Bandits Robust to Adversarial Corruptions Bayesian exploration with heterogeneous agents

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T22:03:15.634699Z

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.

Observation 3bf9ae6d-e098-4488-8e43-bf90d1bc1426 · outbound

This paper cites Corruption-tolerant bandit learning.

Multi-Agent Stochastic Bandits Robust to Adversarial Corruptions Corruption-tolerant bandit learning

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-12T22:03:14.775832Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 190e10bc-7dcd-45e8-b242-a694b53fce96 · outbound

This paper cites Cooperative Stochastic Multi-agent Multi-armed Bandits Robust to Adversarial Corruptions.

Multi-Agent Stochastic Bandits Robust to Adversarial Corruptions Cooperative Stochastic Multi-agent Multi-armed Bandits Robust to Adversarial Corruptions

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-12T22:03:14.782089Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 04f8fb04-b871-48ec-9f1c-a123bb819fab · outbound

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

Multi-Agent Stochastic Bandits Robust to Adversarial Corruptions Distributed learning in multi-armed bandit with multiple players

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T22:03:15.603672Z

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.

Observation 3326743e-c030-451c-af2e-ea535bbd6a92 · outbound

This paper cites Stochastic bandits robust to adversarial corruptions.

Multi-Agent Stochastic Bandits Robust to Adversarial Corruptions Stochastic bandits robust to adversarial corruptions

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T22:03:15.584569Z

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.

Observation ae191be3-bf68-4cc0-bd1f-8eccc9d76934 · outbound

This paper cites Multi-Player Bandits Robust to Adversarial Collisions.

Multi-Agent Stochastic Bandits Robust to Adversarial Corruptions Multi-Player Bandits Robust to Adversarial Collisions

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-12T22:03:14.801396Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 467a2b41-ed47-491f-a754-73e7bebe3c71 · outbound

This paper cites A practical algorithm for multiplayer bandits when arm means vary among players.

Multi-Agent Stochastic Bandits Robust to Adversarial Corruptions A practical algorithm for multiplayer bandits when arm means vary among players

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T22:03:15.562096Z

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.

Observation 20a26b3b-f62a-4d24-92f1-89117cebb20a · outbound

This paper cites Robust federated best-arm identification in multi-armed bandits.

Multi-Agent Stochastic Bandits Robust to Adversarial Corruptions Robust federated best-arm identification in multi-armed bandits

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T22:03:15.541355Z

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.

Observation b789f0b2-2d99-4bc0-9c30-1053438000a6 · outbound

This paper cites Heterogeneous multi-player multi-armed bandits: Closing the gap and generalization.

Multi-Agent Stochastic Bandits Robust to Adversarial Corruptions Heterogeneous multi-player multi-armed bandits: Closing the gap and generalization

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T22:03:15.513340Z

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.

Observation 73ed3029-cb4b-47c6-8eee-2b1723beba50 · outbound

This paper cites Multi-armed bandits in recommendation systems: A survey of the state-of-the-art and future directions.

Multi-Agent Stochastic Bandits Robust to Adversarial Corruptions Multi-armed bandits in recommendation systems: A survey of the state-of-the-art and future directions

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T22:03:15.484750Z

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.

Observation 2521a85c-66c6-4082-ae11-5a5f3a707c18 · outbound

This paper cites Stochastic online shortest path routing: The value of feedback.

Multi-Agent Stochastic Bandits Robust to Adversarial Corruptions Stochastic online shortest path routing: The value of feedback

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T22:03:15.461910Z

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.

Observation 6bdebaae-fbb5-419f-ba95-1bd4fe399bbe · outbound

This paper cites Robust multi-agent multi-armed bandits.

Multi-Agent Stochastic Bandits Robust to Adversarial Corruptions Robust multi-agent multi-armed bandits

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T22:03:15.433712Z

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.

Observation 69b2c3f2-2911-4622-9f70-f4b476c6afc1 · outbound

This paper cites Robust multi-agent bandits over undirected graphs.

Multi-Agent Stochastic Bandits Robust to Adversarial Corruptions Robust multi-agent bandits over undirected graphs

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T22:03:15.407230Z

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.

Observation baa4cc3f-7add-4eb2-977e-cf6ae76dbd9c · outbound

This paper cites Optimal algorithms for multiplayer multi-armed bandits.

Multi-Agent Stochastic Bandits Robust to Adversarial Corruptions Optimal algorithms for multiplayer multi-armed bandits

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T22:03:15.379007Z

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.

Observation d19cc547-77c8-469f-ac4a-1e37f43cced8 · outbound

This paper cites Achieving near-optimal individual regret & low communications in multi-agent bandits.

Multi-Agent Stochastic Bandits Robust to Adversarial Corruptions Achieving near-optimal individual regret & low communications in multi-agent bandits

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T22:03:15.350753Z

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.

Observation b130cbd1-0e10-456a-be7a-1ce98a1a48dd · outbound

This paper cites an unresolved cited work.

Multi-Agent Stochastic Bandits Robust to Adversarial Corruptions Unresolved cited work

Reference 29

Resolution: unresolved; raw_fallback, observed 2026-08-12T22:03:15.329893Z

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.

Observation da4bc341-81c4-4aa6-bb8e-424743159ad6 · outbound

This paper cites an unresolved cited work.

Multi-Agent Stochastic Bandits Robust to Adversarial Corruptions Unresolved cited work

Reference 30

Resolution: unresolved; raw_fallback, observed 2026-08-12T22:03:15.312038Z

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.

Observation 6e7e7293-a499-4211-b15a-40a151e98cd7 · outbound

This paper cites A model selection approach for corruption robust reinforcement learning.

Multi-Agent Stochastic Bandits Robust to Adversarial Corruptions A model selection approach for corruption robust reinforcement learning

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T22:03:15.289093Z

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.

Observation 1c7da1c4-af52-4618-aacc-6bca012710f1 · outbound

This paper cites Adversarial bandits with corruptions: Regret lower bound and no-regret algorithm.

Multi-Agent Stochastic Bandits Robust to Adversarial Corruptions Adversarial bandits with corruptions: Regret lower bound and no-regret algorithm

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T22:03:15.267717Z

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.

Observation 9e14ac72-5c05-40f8-be44-64ce928cabf8 · outbound

This paper cites Cooperative stochastic bandits with asynchronous agents and constrained feedback.

Multi-Agent Stochastic Bandits Robust to Adversarial Corruptions Cooperative stochastic bandits with asynchronous agents and constrained feedback

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-12T22:03:14.892286Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6216e3b4-7de1-4f25-b107-15777725ac22 · outbound

This paper cites Distributed bandits with heterogeneous agents.

Multi-Agent Stochastic Bandits Robust to Adversarial Corruptions Distributed bandits with heterogeneous agents

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T22:03:15.224384Z

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.

Observation fd60090a-87ca-4871-8e77-8ecfe6000492 · outbound

This paper cites Linear Contextual Bandits with Adversarial Corruptions.

Multi-Agent Stochastic Bandits Robust to Adversarial Corruptions Linear Contextual Bandits with Adversarial Corruptions

Reference 35

Resolution: verified exact; local_arxiv, observed 2026-08-12T22:03:15.002790Z

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.

Observation 052e7b65-a0e8-423d-ad44-0ae6f1fc62a1 · outbound

This paper cites A privacy-preserving distributed contextual federated online learning framework with big data support in social recommender systems.

Multi-Agent Stochastic Bandits Robust to Adversarial Corruptions A privacy-preserving distributed contextual federated online learning framework with big data support in social recommender systems

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T22:03:15.200669Z

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.

Observation d01d5ec9-fb75-43c5-a7ca-329841acaa5c · outbound

This paper cites Toward optimal adaptive online shortest path routing with acceleration under jamming attack.

Multi-Agent Stochastic Bandits Robust to Adversarial Corruptions Toward optimal adaptive online shortest path routing with acceleration under jamming attack

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T22:03:15.179823Z

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.

Observation 70d28303-beac-4f13-9cc2-7171673155fb · outbound

This paper cites Tsallis-inf: An optimal algorithm for stochastic and adversarial bandits.

Multi-Agent Stochastic Bandits Robust to Adversarial Corruptions Tsallis-inf: An optimal algorithm for stochastic and adversarial bandits

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-12T22:03:14.924822Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2b7c2d1f-0920-4ed8-b179-9ae6bf0c03fb · outbound

This paper cites Online shortest path routing: The value of information.

Multi-Agent Stochastic Bandits Robust to Adversarial Corruptions Online shortest path routing: The value of information

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T22:03:15.143271Z

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.

Pith citing papers

No inbound Pith citation observations are available.