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Paper Citation Record · LEDGER

Federated Linear Dueling Bandits

As of 18 August 2026, this Paper Citation Record lists 64 of 64 outbound references and 0 inbound Pith citation observations for arXiv:2502.01085.

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

pith.paper-citation-record.v1
2502.01085 v2

Coverage vector

measured 64 of 64 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T16:44:30.910163Z

measured 64 of 64 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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

64 of 64 outbound references displayed

  • verified exact4
  • verified fuzzy34
  • unresolved26
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8baff0c3-8185-4792-b40f-9b0d1de00e33 · outbound

This paper cites Optimal algorithms for stochastic contextual preference bandits.

Federated Linear Dueling Bandits Optimal algorithms for stochastic contextual preference bandits

Reference 1

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Observation 3bebda6d-90fb-4257-a91a-d6cf75c25485 · outbound

This paper cites Efficient and optimal algorithms for contextual dueling bandits under realizability.

Federated Linear Dueling Bandits Efficient and optimal algorithms for contextual dueling bandits under realizability

Reference 2

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation d75260f5-2575-48a0-8f89-222f2fb9e1bf · outbound

This paper cites Stochastic contextual dueling bandits under linear stochastic transitivity models.

Federated Linear Dueling Bandits Stochastic contextual dueling bandits under linear stochastic transitivity models

Reference 3

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Observation 1a3ab303-805a-49a3-8ebe-68538b781830 · outbound

This paper cites Feel-Good Thompson Sampling for Contextual Dueling Bandits.

Federated Linear Dueling Bandits Feel-Good Thompson Sampling for Contextual Dueling Bandits

Reference 4

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Observation 3b07175e-b766-4347-aa90-506bd889767d · outbound

This paper cites The k-armed dueling bandits problem.

Federated Linear Dueling Bandits The k-armed dueling bandits problem

Reference 5

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Observation 5575a231-c644-4859-81b7-f862f73dcddb · outbound

This paper cites Prompt Optimization with Human Feedback.

Federated Linear Dueling Bandits Prompt Optimization with Human Feedback

Reference 6

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source=pdf_text observed=2026-08-09T16:44:30.641818Z digest=sha256:2aeb83d95e418eb1d50100a9e34095803ee09e1794a32396a68e0963fdc1685f

Observation ab14e6a3-2ddf-46d5-9cb7-a967ae82c36b · outbound

This paper cites Reinforcement Learning from Human Feedback with Active Queries.

Federated Linear Dueling Bandits Reinforcement Learning from Human Feedback with Active Queries

Reference 7

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source=pdf_text observed=2026-08-09T16:44:30.647246Z digest=sha256:6ad26f9601aeea0f5c55cb7cbd9c99249f2a234442ea58723e407c2627e62fd7

Observation e4bc756e-ba46-41be-9d2b-2e0160a79577 · outbound

This paper cites Communication-efficient learning of deep networks from decentralized data.

Federated Linear Dueling Bandits Communication-efficient learning of deep networks from decentralized data

Reference 8

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source=pdf_text observed=2026-08-09T16:44:30.652011Z digest=sha256:a866c0637eef85b7b66af6f1382a1208f41eb4381a4475c120b5e0af2b503e78

Observation 12f28940-b916-44ef-b656-67376b6a7aee · outbound

This paper cites Federated multi-armed bandits.

Federated Linear Dueling Bandits Federated multi-armed bandits

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation bf073c3e-90b8-4014-b01c-3b99707dfda5 · outbound

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

Federated Linear Dueling Bandits Distributed Bandit Learning: Near-Optimal Regret with Efficient Communication

Reference 10

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source=pdf_text observed=2026-08-09T16:44:30.661296Z digest=sha256:6450b55a01fcd7bc1108e78a6d1da5dbb7af02aac223a2655d245de6b50eef3a

Observation eb509b7e-9c92-451e-b907-67c7d12772bc · outbound

This paper cites Improved algorithms for linear stochastic bandits.

Federated Linear Dueling Bandits Improved algorithms for linear stochastic bandits

Reference 11

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation a37e7c12-74da-4b97-af1f-d3df046fa9cf · outbound

This paper cites Federated Neural Bandits.

Federated Linear Dueling Bandits Federated Neural Bandits

Reference 12

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Observation 0310b92a-cbeb-4838-a834-3520d5fab35a · outbound

This paper cites Mm algorithms for generalized bradley-terry models.

Federated Linear Dueling Bandits Mm algorithms for generalized bradley-terry models

Reference 13

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation e49915c5-2aee-4af4-b4f2-9cd4d84d9d04 · outbound

This paper cites Individual choice behavior: A theoretical analysis.

Federated Linear Dueling Bandits Individual choice behavior: A theoretical analysis

Reference 14

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Observation 2845876f-e9c2-484c-a9df-301063935b69 · outbound

This paper cites Provably optimal algorithms for generalized linear contextual bandits.

Federated Linear Dueling Bandits Provably optimal algorithms for generalized linear contextual bandits

Reference 15

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 203ed17a-5354-448d-b028-4f27e3f4e7b3 · outbound

This paper cites An efficient algorithm for generalized linear bandit: Online stochastic gradient descent and thompson sampling, 2021.

Federated Linear Dueling Bandits An efficient algorithm for generalized linear bandit: Online stochastic gradient descent and thompson sampling, 2021

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 4cc51e8f-a1a7-4e87-bef8-21cdbf0697d3 · outbound

This paper cites Provably optimal algorithms for generalized linear contextual bandits, 2017.

Federated Linear Dueling Bandits Provably optimal algorithms for generalized linear contextual bandits, 2017

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-09T16:44:30.693880Z digest=sha256:e2a6c3f979a339d05c3d3958a728ffa4ee604fdc875b131e4a20317f1389e23a

Observation d2293822-a0c7-4d09-9814-3a3bda41aefe · outbound

This paper cites Stochastic linear contextual bandits with diverse contexts, 2020.

Federated Linear Dueling Bandits Stochastic linear contextual bandits with diverse contexts, 2020

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation fa62f73f-e28b-4453-868b-a00a57ad32c4 · outbound

This paper cites Introduction to online convex optimization.

Federated Linear Dueling Bandits Introduction to online convex optimization

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-09T16:44:30.702817Z digest=sha256:82de0fcad4d94633704f8e186402ad49d51e9e8ceca72f72de11837ced5d5aa9

Observation 7d3dfd4e-b101-4311-9589-443baa777f08 · outbound

This paper cites Pytorch: An imperative style, high-performance deep learning library, 2019.

Federated Linear Dueling Bandits Pytorch: An imperative style, high-performance deep learning library, 2019

Reference 20

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Observation 756803f1-11b3-4c55-ae04-ef25ca6f4918 · outbound

This paper cites Maxwell Harper and Joseph A.

Federated Linear Dueling Bandits Maxwell Harper and Joseph A

Reference 21

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source=pdf_text observed=2026-08-09T16:44:30.712114Z digest=sha256:85d8809ce398305955dd24c6121ea39e27f2fe6f96f38dc389d748fec3c9625d

Observation 5d7b1568-ad13-4da8-b31e-ef0a7bf7a1d2 · outbound

This paper cites an unresolved cited work.

Federated Linear Dueling Bandits Unresolved cited work

Reference 22

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation fe88f476-888f-493d-a311-a81604922466 · outbound

This paper cites Privacy-preserving communication-efficient federated multi-armed bandits.

Federated Linear Dueling Bandits Privacy-preserving communication-efficient federated multi-armed bandits

Reference 23

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 137dba6f-0446-4302-b75a-f1dfe2f3fe42 · outbound

This paper cites Federated optimization in heterogeneous networks.

Federated Linear Dueling Bandits Federated optimization in heterogeneous networks

Reference 24

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Observation 5ea97f94-893a-4f55-aea1-f67de1cc8a14 · outbound

This paper cites Federated multi-armed bandits with personalization.

Federated Linear Dueling Bandits Federated multi-armed bandits with personalization

Reference 25

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation ad9a625a-0543-445e-9091-1386454c9288 · outbound

This paper cites Differentially-private federated linear bandits.

Federated Linear Dueling Bandits Differentially-private federated linear bandits

Reference 26

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 037818ac-9dce-4500-ad4e-15ede831960d · outbound

This paper cites Federated linear contextual bandits.

Federated Linear Dueling Bandits Federated linear contextual bandits

Reference 27

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raw_fallback, observed 2026-08-09T16:44:31.614002Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-09T16:44:30.738801Z digest=sha256:1541c99daad34e08b4825f4d0b4c75f16fa04cf3f6f9d1d5c34dea855f72d75c

Observation f8151a64-6b8f-495a-8ec6-abd0aa5eea52 · outbound

This paper cites Asynchronous upper confidence bound algorithms for federated linear bandits.

Federated Linear Dueling Bandits Asynchronous upper confidence bound algorithms for federated linear bandits

Reference 28

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raw_fallback, observed 2026-08-09T16:44:31.598607Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 8fd4fba9-1b89-4e2c-b8a4-09e17687802a · outbound

This paper cites Federated bayesian optimization via thompson sampling.

Federated Linear Dueling Bandits Federated bayesian optimization via thompson sampling

Reference 29

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raw_fallback, observed 2026-08-09T16:44:31.582316Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 40a885bf-83d7-4785-9664-8a7c2101f993 · outbound

This paper cites Differentially private federated Bayesian optimization with distributed exploration.

Federated Linear Dueling Bandits Differentially private federated Bayesian optimization with distributed exploration

Reference 30

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raw_fallback, observed 2026-08-09T16:44:31.566125Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-09T16:44:30.752179Z digest=sha256:4d1537f4a7eb8a90ccc17bb6b02ff00909a77b2e0c65d0471bf2d23c25ff3bec

Observation 46a4ad3a-02be-4670-81c3-761d9ae43fde · outbound

This paper cites Communication effi- cient distributed learning for kernelized contextual bandits.

Federated Linear Dueling Bandits Communication effi- cient distributed learning for kernelized contextual bandits

Reference 31

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raw_fallback, observed 2026-08-09T16:44:31.549317Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-09T16:44:30.756879Z digest=sha256:de6be9fc1a11f478b58222d88728c13cd1a28002821f54f75fb7fe841682dba0

Observation 07ece397-7cc1-462a-83df-8672ace8cbac · outbound

This paper cites Communication efficient federated learning for generalized linear bandits.

Federated Linear Dueling Bandits Communication efficient federated learning for generalized linear bandits

Reference 32

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raw_fallback, observed 2026-08-09T16:44:31.532365Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-09T16:44:30.761144Z digest=sha256:0a02ef0c87d2264481f78e9bcd13289824503c466e770a3f197cc8872139c980

Observation 5d057f58-ba55-4a41-a522-e01b140f6fd7 · outbound

This paper cites Federated bandit: A gossiping approach.

Federated Linear Dueling Bandits Federated bandit: A gossiping approach

Reference 33

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verified fuzzy
raw_fallback, observed 2026-08-09T16:44:31.515346Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-09T16:44:30.765514Z digest=sha256:3bfa33af85fe0b243fb12522c24b1660bb92918e16c585975349e23216145abf

Observation 9aaeca58-a1a0-4ca1-a301-41d65631143d · outbound

This paper cites SAMBA: A generic framework for secure federated multi-armed bandits.

Federated Linear Dueling Bandits SAMBA: A generic framework for secure federated multi-armed bandits

Reference 34

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raw_fallback, observed 2026-08-09T16:44:31.492819Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-09T16:44:30.769986Z digest=sha256:9aff1500d38d1c43414d8bff5d637b82872f98152665c4edcd8384f989fc6269

Observation 10a13646-7ce7-45bb-9fd4-b9f1c9a87b7e · outbound

This paper cites Federated linear contextual bandits with heterogeneous clients.

Federated Linear Dueling Bandits Federated linear contextual bandits with heterogeneous clients

Reference 35

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raw_fallback, observed 2026-08-09T16:44:31.473799Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-09T16:44:30.774320Z digest=sha256:1a7df3d8dff752f515331b31151b479fd79b74b0b420de25c433798f7cf90fb6

Observation 9556b793-7ff9-4703-b0ed-8e8008e9a8b6 · outbound

This paper cites Federated linear bandits with finite adversarial actions.

Federated Linear Dueling Bandits Federated linear bandits with finite adversarial actions

Reference 36

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verified fuzzy
raw_fallback, observed 2026-08-09T16:44:31.457066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-09T16:44:30.779041Z digest=sha256:9ddf66f95e8caff04628163e1efb4a6bebb7f108f2cf89ca7029ce75858dbe8f

Observation 4566ef4e-0d80-4e85-81b5-22b0185f0df1 · outbound

This paper cites Federated contextual cascading bandits with asynchronous communication and heterogeneous users.

Federated Linear Dueling Bandits Federated contextual cascading bandits with asynchronous communication and heterogeneous users

Reference 37

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raw_fallback, observed 2026-08-09T16:44:31.439487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-09T16:44:30.783408Z digest=sha256:8493a1bdecfee7ee90ee632b803dd904d52c7932062847142884da149d6037ff

Observation af91d08a-1c93-47d1-86cc-8259d2ff5e3b · outbound

This paper cites Fairness and Privacy Guarantees in Federated Contextual Bandits.

Federated Linear Dueling Bandits Fairness and Privacy Guarantees in Federated Contextual Bandits

Reference 38

Resolution
verified exact
local_arxiv, observed 2026-08-09T16:44:31.071904Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-09T16:44:30.787983Z digest=sha256:c5b8933252dc9580c475a1fc174ef2fae428d1d2f8c224f4cd509b474b6c529e

Observation 2cc90a37-5548-4637-9927-d69f55128f8d · outbound

This paper cites Federated Combinatorial Multi-Agent Multi-Armed Bandits.

Federated Linear Dueling Bandits Federated Combinatorial Multi-Agent Multi-Armed Bandits

Reference 39

Resolution
verified exact
local_arxiv, observed 2026-08-09T16:44:31.050027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-09T16:44:30.792816Z digest=sha256:744dc1e11157c98fbad2c5716c9614e2d8ab78ca9ef7e077b506078015808b7f

Observation 6ea0dfaf-1418-4fed-b304-8222d5f60973 · outbound

This paper cites Towards fair and scalable trial assignment in federated bandits: A shapley value approach.

Federated Linear Dueling Bandits Towards fair and scalable trial assignment in federated bandits: A shapley value approach

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T16:44:31.423349Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-09T16:44:30.797505Z digest=sha256:bf4bcb80bf724f9c104b398c50b5b15ba476416dabd6011ac2ac093730eca773

Observation d9541d69-0786-4852-ae4f-35c37eef8b1f · outbound

This paper cites Federated x-armed bandit.

Federated Linear Dueling Bandits Federated x-armed bandit

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T16:44:31.408471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-09T16:44:30.801870Z digest=sha256:90dc79d3818089d34d03d41530b9696893f1a8097a345f43895a0a065680db81

Observation e732fe57-d09b-40c3-a686-3e8656613f65 · outbound

This paper cites Incentivized Truthful Communication for Federated Bandits.

Federated Linear Dueling Bandits Incentivized Truthful Communication for Federated Bandits

Reference 42

Resolution
verified exact
local_arxiv, observed 2026-08-09T16:44:31.027949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-09T16:44:30.806350Z digest=sha256:ea8682872c0406b452124a298c455fb6766f0f5528d90d5a97dd5bf26ee7f639

Observation b5f2eac5-0e83-4829-9616-361bac5ee90c · outbound

This paper cites FedConPE: Efficient Federated Conversational Bandits with Heterogeneous Clients.

Federated Linear Dueling Bandits FedConPE: Efficient Federated Conversational Bandits with Heterogeneous Clients

Reference 43

Resolution
verified exact
local_arxiv, observed 2026-08-09T16:44:31.003701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-09T16:44:30.811035Z digest=sha256:a5cc8244efbdbe087feaf788233004cf0bb9db822aaf4bb2fdf5a94e1812c38c

Observation eecb8cca-7f28-4fe7-94bf-370a212e9ba0 · outbound

This paper cites Interactively optimizing information retrieval systems as a dueling bandits problem.

Federated Linear Dueling Bandits Interactively optimizing information retrieval systems as a dueling bandits problem

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-09T16:44:30.816185Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T16:44:30.816185Z digest=sha256:5144f1030988de4f72bc490f88519a531743b33bd91e937e6197c7e4c42eb841

Observation e3b175f6-5e8c-44f0-aeb4-6cc4350f8332 · outbound

This paper cites Beat the mean bandit.

Federated Linear Dueling Bandits Beat the mean bandit

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-09T16:44:30.820535Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T16:44:30.820535Z digest=sha256:cfe99e2892f055b06ec11ae6a970e4c6f66823dada5ea0b8b9b06ab539d347b1

Observation 6d2d1f2b-4163-44c7-b1f9-adc4ec8d8802 · outbound

This paper cites Relative confidence sampling for efficient on-line ranker evaluation.

Federated Linear Dueling Bandits Relative confidence sampling for efficient on-line ranker evaluation

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-09T16:44:30.824772Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T16:44:30.824772Z digest=sha256:a98bb58b20bc149a771fa430882924861251b6f9b2ab74030539ab2e9d0cc863

Observation 1d79a626-a366-47ee-b04e-734a2ad701c4 · outbound

This paper cites Reducing dueling bandits to cardinal bandits.

Federated Linear Dueling Bandits Reducing dueling bandits to cardinal bandits

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-09T16:44:30.829111Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T16:44:30.829111Z digest=sha256:d4ae0b73d2d18c8395b70bb3224aaf783d9a9933186ca29637c88bb9e107b4ea

Observation dcbc22ca-1626-4a67-be05-4be0a2cca0c5 · outbound

This paper cites Relative upper confidence bound for the k-armed dueling bandit problem.

Federated Linear Dueling Bandits Relative upper confidence bound for the k-armed dueling bandit problem

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-09T16:44:30.833450Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T16:44:30.833450Z digest=sha256:092889ef9219e988b29c828251bc8bc82d0299eca03e64db3c6e93dc8c9eb8d9

Observation cb187285-c91b-4f8a-8337-5f9cd8ad9ac3 · outbound

This paper cites Regret lower bound and optimal algorithm in dueling bandit problem.

Federated Linear Dueling Bandits Regret lower bound and optimal algorithm in dueling bandit problem

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-09T16:44:30.837941Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T16:44:30.837941Z digest=sha256:22ef818d9a56c5b3875e7bf7b329fc835736f7eeb7f4ef64efb94cd5dc81e984

Observation 38715afa-2eb5-4933-a09f-3adbd91a7305 · outbound

This paper cites A relative exponential weighing algorithm for adversarial utility-based dueling bandits.

Federated Linear Dueling Bandits A relative exponential weighing algorithm for adversarial utility-based dueling bandits

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-09T16:44:30.842427Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T16:44:30.842427Z digest=sha256:8ac9f55e347f0fcad96667973bb692605b45e6fb61efc911b089852d047508ad

Observation 26944c7a-4895-4e62-9991-170435336106 · outbound

This paper cites Battle of bandits.

Federated Linear Dueling Bandits Battle of bandits

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T16:44:31.322326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-09T16:44:30.846978Z digest=sha256:a081287796afff20ac21884ae7c7b5894f92e9d8f64d7245f8fe99c6c976d67a

Observation 676e1c18-ce3d-4a36-9965-b3ceef27645d · outbound

This paper cites Active ranking with subset-wise preferences.

Federated Linear Dueling Bandits Active ranking with subset-wise preferences

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T16:44:31.306195Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-09T16:44:30.851916Z digest=sha256:09db4fdec1c050b613a895e975e1c9922f64ee85b51a6fb099a5ad2138ccfea7

Observation 83090f54-acb6-45c3-a71e-ecc3535b7518 · outbound

This paper cites Pac battling bandits in the plackett-luce model.

Federated Linear Dueling Bandits Pac battling bandits in the plackett-luce model

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T16:44:31.290771Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-09T16:44:30.856540Z digest=sha256:3cb9bfb57402ba718880a713a5cdcd9d3e83af9551a850b70b4d671fd53fbf97

Observation 3d6b0f70-e7bc-4286-b072-c9b6ac55ab54 · outbound

This paper cites Exploiting correlation to achieve faster learning rates in low-rank preference bandits.

Federated Linear Dueling Bandits Exploiting correlation to achieve faster learning rates in low-rank preference bandits

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T16:44:31.274824Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-09T16:44:30.860924Z digest=sha256:037d0c96b5c83ec24e9a6211b3b77b9cdb3f207f91d258f862c31964aaa246a5

Observation fe7a3489-0b84-40e2-8756-261e2b1f949a · outbound

This paper cites Principled reinforcement learning with human feedback from pairwise or k-wise comparisons.

Federated Linear Dueling Bandits Principled reinforcement learning with human feedback from pairwise or k-wise comparisons

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-09T16:44:30.865345Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T16:44:30.865345Z digest=sha256:5bf41388fbddcc2c8eeaa4e0bf7b11f159ca024ceb65ffa63bf44e5c760ad679

Observation b875cee5-1ded-443d-b9dd-af7bc89125d3 · outbound

This paper cites Variance-Aware Regret Bounds for Stochastic Contextual Dueling Bandits.

Federated Linear Dueling Bandits Variance-Aware Regret Bounds for Stochastic Contextual Dueling Bandits

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-09T16:44:30.869961Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T16:44:30.869961Z digest=sha256:0795d7a24f64b233543aae5798daf8338fc957e4d72f2d8e235522c905907c14

Observation 61960fac-8467-445a-a0f6-c5e3c7642e02 · outbound

This paper cites Neural Dueling Bandits: Preference-Based Optimization with Human Feedback.

Federated Linear Dueling Bandits Neural Dueling Bandits: Preference-Based Optimization with Human Feedback

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-09T16:44:30.874716Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T16:44:30.874716Z digest=sha256:6920bc145432fa5df294e1e11cbee365ece1c517431dd7219490f5df6400d6e7

Observation 9601bc57-69b4-4912-8341-c336e83b416d · outbound

This paper cites Clustering of conversational ban- dits for user preference learning and elicitation.

Federated Linear Dueling Bandits Clustering of conversational ban- dits for user preference learning and elicitation

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T16:44:31.246466Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-09T16:44:30.879852Z digest=sha256:5762f877ae4bffb4775d044202e90a54423a55c03f8bbe923cc2cb444e7e6f3c

Observation 3d3a56b7-f7c2-4f83-8005-655014e5e597 · outbound

This paper cites Cascading Bandits for Large-Scale Recommendation Problems.

Federated Linear Dueling Bandits Cascading Bandits for Large-Scale Recommendation Problems

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-09T16:44:30.884461Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T16:44:30.884461Z digest=sha256:5c23e3d380ad1b8cc4b179c5eb2f89925942a7f3eef7eb1e0bcc83e9fa2009c8

Observation ead6b72b-49ec-4bc9-8366-1e1531efe1a8 · outbound

This paper cites Introduction to online convex optimization, 2023.

Federated Linear Dueling Bandits Introduction to online convex optimization, 2023

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T16:44:31.229983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-09T16:44:30.890173Z digest=sha256:dc39f3fc1c3c2e3fb2f49e95f8e8c5fe0af5a1d432a432e10fbc5af0b3766318

Observation f8a431c4-d7be-4496-9bf6-a7c8610b9bcf · outbound

This paper cites Then we have that Mt ≥ κµVt and that V −1 t ≥ κµM −1 t.

Federated Linear Dueling Bandits Then we have that Mt ≥ κµVt and that V −1 t ≥ κµM −1 t

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T16:44:31.214786Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-09T16:44:30.894867Z digest=sha256:c7a9f618cc97bfba67ebe45101ca0a3c93e57a13d2fd241267c976695b8ead5d

Observation e3a1b274-082c-4e22-b813-a39eb57ba768 · outbound

This paper cites bad iterations.

Federated Linear Dueling Bandits bad iterations

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T16:44:31.199379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-09T16:44:30.900161Z digest=sha256:ca68578a92a4e94bbae85b4ef1cede9e42b53d178532c4d99f084771b47a8097

Observation 6bf6128f-aa00-4fa7-a12c-b0c9d9834080 · outbound

This paper cites an unresolved cited work.

Federated Linear Dueling Bandits Unresolved cited work

Reference 63

Resolution
unresolved
raw_fallback, observed 2026-08-09T16:44:31.183744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-09T16:44:30.905475Z digest=sha256:2dde038bbdbfb34a90810d5b3dbd8809545620bbc1accfd08c451e8e032e9fd4

Observation 59dfaf9a-feec-47c4-9f4c-cf472ec63abd · outbound

This paper cites (33) Summing over s, we have that tX s=1 f fed s (eθt) ≥ tX s=1 f fed s (θt) +   tX s=1 ∇f fed s (θt)⊤   eθt − θt + αt 2 ∥eθt − θt∥2.

Federated Linear Dueling Bandits (33) Summing over s, we have that tX s=1 f fed s (eθt) ≥ tX s=1 f fed s (θt) +   tX s=1 ∇f fed s (θt)⊤   eθt − θt + αt 2 ∥eθt − θt∥2

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T16:44:31.168499Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-09T16:44:30.910163Z digest=sha256:9b977cdac97abaa5558096c9398bcacc2fb663669cfa10eaf04470153c576a7b

Pith citing papers

No inbound Pith citation observations are available.