Paper Citation Record · LEDGER

Tangential Randomization in Linear Bandits (TRAiL): Guaranteed Inference and Regret Bounds

As of 21 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 0 inbound Pith citation observations for arXiv:2411.12154.

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

pith.paper-citation-record.v1
2411.12154 v1

Coverage vector

measured 40 of 40 reference resolution

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Source: paper_references, paper_reference_links, observed 2026-08-12T17:58:56.177965Z

measured 40 of 40 standing notices

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Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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Source: cited_works

Reference resolution

40 of 40 outbound references displayed

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External citation measurements

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Outbound references

Observation a2e82736-8e2c-4f52-910f-4758984af2f9 · outbound

This paper cites Forced-exploration based algorithms for playing in stochastic linear bandits.

Tangential Randomization in Linear Bandits (TRAiL): Guaranteed Inference and Regret Bounds Forced-exploration based algorithms for playing in stochastic linear bandits

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:58:57.162604Z

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Observation 1d9294cb-3dc8-45ef-a146-69e72b09a98a · outbound

This paper cites Improved algorithms for linear stochastic bandits.

Tangential Randomization in Linear Bandits (TRAiL): Guaranteed Inference and Regret Bounds Improved algorithms for linear stochastic bandits

Reference 2

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Observation 2b5e6d02-a150-46ce-aa6d-c5bb969ad56a · outbound

This paper cites Linear T hompson sampling revisited.

Tangential Randomization in Linear Bandits (TRAiL): Guaranteed Inference and Regret Bounds Linear T hompson sampling revisited

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:58:57.133749Z

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Observation 1c5d3960-d6d9-4660-8906-231d105d32ba · outbound

This paper cites Thompson sampling for contextual bandits with linear payoffs.

Tangential Randomization in Linear Bandits (TRAiL): Guaranteed Inference and Regret Bounds Thompson sampling for contextual bandits with linear payoffs

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:58:57.120423Z

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Observation 873cad19-dbd8-4ef2-8ee7-312a1a41e94d · outbound

This paper cites On the Minimax Regret for Linear Bandits in a wide variety of Action Spaces.

Tangential Randomization in Linear Bandits (TRAiL): Guaranteed Inference and Regret Bounds On the Minimax Regret for Linear Bandits in a wide variety of Action Spaces

Reference 5

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Observation 398a548b-26aa-49db-828d-e03d913f3530 · outbound

This paper cites Exploration in linear bandits with rich action sets and its implications for inference.

Tangential Randomization in Linear Bandits (TRAiL): Guaranteed Inference and Regret Bounds Exploration in linear bandits with rich action sets and its implications for inference

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:58:57.107442Z

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Observation f8ce88ff-6bc6-48e7-ac61-2ed3544c81c2 · outbound

This paper cites Schapire.

Tangential Randomization in Linear Bandits (TRAiL): Guaranteed Inference and Regret Bounds Schapire

Reference 7

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Observation 443ff633-ed20-44f1-a412-05872cd8ec98 · outbound

This paper cites Linear bandits in high dimension and recommendation systems.

Tangential Randomization in Linear Bandits (TRAiL): Guaranteed Inference and Regret Bounds Linear bandits in high dimension and recommendation systems

Reference 8

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Observation 0440aa4c-a46a-4e4c-8127-beeb4752dc58 · outbound

This paper cites Gill and Boris Y.

Tangential Randomization in Linear Bandits (TRAiL): Guaranteed Inference and Regret Bounds Gill and Boris Y

Reference 9

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Observation 16ddc400-a4c6-4efb-87b2-45f336428ec7 · outbound

This paper cites Some modified matrix eigenvalue problems.

Tangential Randomization in Linear Bandits (TRAiL): Guaranteed Inference and Regret Bounds Some modified matrix eigenvalue problems

Reference 10

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Observation 8f0214e4-b82e-4182-9b78-3d8ad41a8aa7 · outbound

This paper cites Greenewald, Ambuj Tewari, Susan A.

Tangential Randomization in Linear Bandits (TRAiL): Guaranteed Inference and Regret Bounds Greenewald, Ambuj Tewari, Susan A

Reference 11

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Observation 13876955-dec9-437c-bc8e-6e969511a11b · outbound

This paper cites Michael Harrison, N.

Tangential Randomization in Linear Bandits (TRAiL): Guaranteed Inference and Regret Bounds Michael Harrison, N

Reference 12

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Observation d8f030e8-6e34-4993-b672-c7aaed4c1227 · outbound

This paper cites an unresolved cited work.

Tangential Randomization in Linear Bandits (TRAiL): Guaranteed Inference and Regret Bounds Unresolved cited work

Reference 13

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Observation eb6450f5-9fa5-48bc-99f3-09b1d29a8ead · outbound

This paper cites Matrix analysis.

Tangential Randomization in Linear Bandits (TRAiL): Guaranteed Inference and Regret Bounds Matrix analysis

Reference 14

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Observation 3b6a7c30-2a2c-4247-90ce-bbceedd8856b · outbound

This paper cites Following the leader and fast rates in online linear prediction: Curved constraint sets and other regularities.

Tangential Randomization in Linear Bandits (TRAiL): Guaranteed Inference and Regret Bounds Following the leader and fast rates in online linear prediction: Curved constraint sets and other regularities

Reference 15

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Observation 243fe881-006f-4b18-80df-f45d5680bc6d · outbound

This paper cites Perturbation Theory for Linear Operators, volume 132 of Grundlehren der mathematischen Wissenschaften.

Tangential Randomization in Linear Bandits (TRAiL): Guaranteed Inference and Regret Bounds Perturbation Theory for Linear Operators, volume 132 of Grundlehren der mathematischen Wissenschaften

Reference 16

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Observation 8e0a3ae6-78ab-4309-8864-faf3329250aa · outbound

This paper cites Cooperative multi-agent bandits with heavy tails.

Tangential Randomization in Linear Bandits (TRAiL): Guaranteed Inference and Regret Bounds Cooperative multi-agent bandits with heavy tails

Reference 17

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Observation df7a1edb-a088-4c1b-9ec9-dd461d3f6f89 · outbound

This paper cites Projection-free optimization on uniformly convex sets.

Tangential Randomization in Linear Bandits (TRAiL): Guaranteed Inference and Regret Bounds Projection-free optimization on uniformly convex sets

Reference 18

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Observation 37094b94-7c7b-4e4f-b088-5c7cde642dbd · outbound

This paper cites Bora Keskin and Assaf Zeevi.

Tangential Randomization in Linear Bandits (TRAiL): Guaranteed Inference and Regret Bounds Bora Keskin and Assaf Zeevi

Reference 19

Resolution: verified exact; raw_fallback, observed 2026-08-12T17:58:56.634016Z

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Observation 5780777b-7765-48a5-8c05-f1d7cbd7e66d · outbound

This paper cites Information directed sampling for linear partial monitoring.

Tangential Randomization in Linear Bandits (TRAiL): Guaranteed Inference and Regret Bounds Information directed sampling for linear partial monitoring

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:58:56.970370Z

Source-reported events for the cited work

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Observation 0ee2dec0-fbea-43d0-9fa5-2e89d38c369f · outbound

This paper cites Multi-agent multi-armed bandits with limited communication.

Tangential Randomization in Linear Bandits (TRAiL): Guaranteed Inference and Regret Bounds Multi-agent multi-armed bandits with limited communication

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:58:56.957563Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation d1947a42-90e9-4f3b-b1d9-1e25a3d185ec · outbound

This paper cites Bandit Algorithms.

Tangential Randomization in Linear Bandits (TRAiL): Guaranteed Inference and Regret Bounds Bandit Algorithms

Reference 22

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Observation 74ff1405-0949-486a-8fbb-b62a5ee8c428 · outbound

This paper cites Schapire.

Tangential Randomization in Linear Bandits (TRAiL): Guaranteed Inference and Regret Bounds Schapire

Reference 23

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Observation 9b958a54-9fa7-436f-ae56-91cf2ab9383f · outbound

This paper cites Linear bandits with polylogarithmic minimax regret.

Tangential Randomization in Linear Bandits (TRAiL): Guaranteed Inference and Regret Bounds Linear bandits with polylogarithmic minimax regret

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:58:56.937271Z

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Observation eb266e7e-d922-48a2-9ac9-198205e780f6 · outbound

This paper cites Distributed cooperative decision-making in multiarmed bandits: Frequentist and bayesian algorithms.

Tangential Randomization in Linear Bandits (TRAiL): Guaranteed Inference and Regret Bounds Distributed cooperative decision-making in multiarmed bandits: Frequentist and bayesian algorithms

Reference 25

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Observation f2648f10-6855-4497-af92-e9da78d2ff7b · outbound

This paper cites Multi-agent thompson sampling for bandit applications with sparse neighbourhood structures.

Tangential Randomization in Linear Bandits (TRAiL): Guaranteed Inference and Regret Bounds Multi-agent thompson sampling for bandit applications with sparse neighbourhood structures

Reference 26

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Observation 006491f2-e894-442f-b2f8-38a8697e410c · outbound

This paper cites Curvature of Feasible Sets in Offline and Online Optimization.

Tangential Randomization in Linear Bandits (TRAiL): Guaranteed Inference and Regret Bounds Curvature of Feasible Sets in Offline and Online Optimization

Reference 27

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Observation a0c6600d-0db8-49a6-b7f9-5975ab783cd0 · outbound

This paper cites Dynamical linear bandits.

Tangential Randomization in Linear Bandits (TRAiL): Guaranteed Inference and Regret Bounds Dynamical linear bandits

Reference 28

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Source-reported events for the cited work

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Observation c7c7af9f-a49c-4874-8e38-5a484d4670cb · outbound

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Tangential Randomization in Linear Bandits (TRAiL): Guaranteed Inference and Regret Bounds Unresolved cited work

Reference 29

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Observation 1b9063c6-3c4b-4652-91a6-fcc3ff646898 · outbound

This paper cites Tsitsiklis.

Tangential Randomization in Linear Bandits (TRAiL): Guaranteed Inference and Regret Bounds Tsitsiklis

Reference 30

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Observation d6a187b9-2d09-4922-a1ba-1df535e6410a · outbound

This paper cites Learning to optimize via information-directed sampling.

Tangential Randomization in Linear Bandits (TRAiL): Guaranteed Inference and Regret Bounds Learning to optimize via information-directed sampling

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:58:56.880475Z

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Observation f8036171-df7a-4776-a16a-46eb3eab48a5 · outbound

This paper cites Learning to optimize via posterior sampling.

Tangential Randomization in Linear Bandits (TRAiL): Guaranteed Inference and Regret Bounds Learning to optimize via posterior sampling

Reference 32

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Observation e60f35be-7e60-4435-b6d6-c36550a0b165 · outbound

This paper cites An information-theoretic analysis of thompson sampling.

Tangential Randomization in Linear Bandits (TRAiL): Guaranteed Inference and Regret Bounds An information-theoretic analysis of thompson sampling

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:58:56.867303Z

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Observation f8eb890f-2ca4-46bd-b228-c36fd321a305 · outbound

This paper cites A triangle inequality for cosine similarity.

Tangential Randomization in Linear Bandits (TRAiL): Guaranteed Inference and Regret Bounds A triangle inequality for cosine similarity

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:58:56.855270Z

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Observation 77b36beb-a341-4c92-bb2b-c2002ea51a34 · outbound

This paper cites Dynamic learning in strategic pricing games.

Tangential Randomization in Linear Bandits (TRAiL): Guaranteed Inference and Regret Bounds Dynamic learning in strategic pricing games

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:58:56.842274Z

Source-reported events for the cited work

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Observation ac5aa0db-12bf-44c0-8e78-927de921990e · outbound

This paper cites Freedman's inequality for matrix martingales.

Tangential Randomization in Linear Bandits (TRAiL): Guaranteed Inference and Regret Bounds Freedman's inequality for matrix martingales

Reference 36

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Observation 708a20c8-06be-4e3e-9e59-fff5c93159df · outbound

This paper cites High-dimensional probability: An introduction with applications in data science, volume 47.

Tangential Randomization in Linear Bandits (TRAiL): Guaranteed Inference and Regret Bounds High-dimensional probability: An introduction with applications in data science, volume 47

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-12T17:58:56.165618Z

Source-reported events for the cited work

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Observation 2dbbafbb-0d7a-4ec7-9f7c-b724edc42b58 · outbound

This paper cites Learning to Route Efficiently with End-to-End Feedback: The Value of Networked Structure.

Tangential Randomization in Linear Bandits (TRAiL): Guaranteed Inference and Regret Bounds Learning to Route Efficiently with End-to-End Feedback: The Value of Networked Structure

Reference 38

Resolution: verified exact; local_arxiv, observed 2026-08-12T17:58:56.250859Z

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Observation 022ac7a3-1d89-4d91-96de-2ea8948b8e95 · outbound

This paper cites On uninformative optimal policies in adaptive lqr with unknown b-matrix.

Tangential Randomization in Linear Bandits (TRAiL): Guaranteed Inference and Regret Bounds On uninformative optimal policies in adaptive lqr with unknown b-matrix

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:58:56.816623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation b05cb6a5-4105-4e02-a035-f418a6532da7 · outbound

This paper cites Regret Lower Bounds for Learning Linear Quadratic Gaussian Systems.

Tangential Randomization in Linear Bandits (TRAiL): Guaranteed Inference and Regret Bounds Regret Lower Bounds for Learning Linear Quadratic Gaussian Systems

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-12T17:58:56.177965Z

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Unavailable: canonical work link unavailable.

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