Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-16T12:41:31.060383Z
Paper Citation Record · LEDGER
As of 17 August 2026, this Paper Citation Record lists 59 of 59 outbound references and 1 inbound Pith citation observation for arXiv:2504.12016.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-16T12:41:31.060383Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-05-22T01:06:19.756032Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-22T01:10:51.536288Z
59 of 59 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 4b92bfea-da5a-4e4e-b7b9-1be62bf2b948 · outbound
Active Human Feedback Collection via Neural Contextual Dueling Bandits Improved algorithms for linear stochastic bandits
Reference 1
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Active Human Feedback Collection via Neural Contextual Dueling Bandits Thompson sampling for contextual bandits with linear payoffs
Reference 2
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Active Human Feedback Collection via Neural Contextual Dueling Bandits Reducing dueling bandits to cardinal bandits
Reference 3
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Observation d78e08d1-a64f-4d41-b23a-ee344c6c0475 · outbound
Active Human Feedback Collection via Neural Contextual Dueling Bandits Finite-time analysis of the multiarmed bandit problem
Reference 4
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Observation 7ec3452d-8f7c-472f-b818-d7c9dff37954 · outbound
Active Human Feedback Collection via Neural Contextual Dueling Bandits Bandits for Online Calibration: An Application to Content Moderation on Social Media Platforms
Reference 5
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Observation f96c0e42-fb07-4b39-93de-fadfb47162ba · outbound
Active Human Feedback Collection via Neural Contextual Dueling Bandits Neural Logistic Bandits
Reference 6
Source-reported events for the cited work
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Observation 52a4c249-e878-47d1-b9fc-f3addf71d6fa · outbound
Active Human Feedback Collection via Neural Contextual Dueling Bandits Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback
Reference 7
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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Active Human Feedback Collection via Neural Contextual Dueling Bandits Ee-net: Exploitation-exploration neural networks in contextual bandits
Reference 8
Source-reported events for the cited work
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Active Human Feedback Collection via Neural Contextual Dueling Bandits Preference-based online learning with dueling bandits: A survey
Reference 9
Source-reported events for the cited work
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Observation 8099a301-597b-4de6-8a3d-035f5a9d3650 · outbound
Active Human Feedback Collection via Neural Contextual Dueling Bandits Stochastic contextual dueling bandits under linear stochastic transitivity models
Reference 10
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Observation b56997e0-b72f-45c1-bac9-b95c7a9464d7 · outbound
Active Human Feedback Collection via Neural Contextual Dueling Bandits An empirical evaluation of thompson sampling
Reference 11
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Observation 20c5dc23-7042-44d5-a059-4f7f8189e590 · outbound
Active Human Feedback Collection via Neural Contextual Dueling Bandits RLHF Deciphered: A Critical Analysis of Reinforcement Learning from Human Feedback for LLMs
Reference 12
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bdb3c793-696d-4793-ba92-dbda4c0d9766 · outbound
Active Human Feedback Collection via Neural Contextual Dueling Bandits On kernelized multi-armed bandits
Reference 13
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Observation b320fcd6-968d-4a54-8844-aad54f200d00 · outbound
Active Human Feedback Collection via Neural Contextual Dueling Bandits Federated neural bandits
Reference 14
Source-reported events for the cited work
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Observation 8a06a7be-26ae-4b23-9a81-9672ddcaf82f · outbound
Active Human Feedback Collection via Neural Contextual Dueling Bandits Active Preference Optimization for Sample Efficient RLHF
Reference 15
Source-reported events for the cited work
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Observation 38a00c37-13f7-452f-b3d5-8a2f868e4fdf · outbound
Active Human Feedback Collection via Neural Contextual Dueling Bandits Contextual bandits with online neural regression
Reference 16
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Observation 29fb0a0f-9457-4bd4-9373-f539774e14a8 · outbound
Active Human Feedback Collection via Neural Contextual Dueling Bandits Variance-Aware Regret Bounds for Stochastic Contextual Dueling Bandits
Reference 17
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4b2709d2-84ff-4e9d-ac16-bd9157d54725 · outbound
Active Human Feedback Collection via Neural Contextual Dueling Bandits A relative exponential weighing algorithm for adversarial utility-based dueling bandits
Reference 18
Source-reported events for the cited work
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Observation 8d2ac834-21f7-442c-ab0c-881fd6e2513a · outbound
Active Human Feedback Collection via Neural Contextual Dueling Bandits Mm algorithms for generalized bradley-terry models
Reference 19
Source-reported events for the cited work
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Observation 1e3b336f-aaf8-4cef-906a-10f91b806d32 · outbound
Active Human Feedback Collection via Neural Contextual Dueling Bandits Neural tangent kernel: Convergence and generalization in neural networks
Reference 20
Source-reported events for the cited work
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Observation 19c40104-86f5-48a9-a5f5-d6374f1e5341 · outbound
Active Human Feedback Collection via Neural Contextual Dueling Bandits Reinforcement Learning from Human Feedback with Active Queries
Reference 21
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Observation 264f5d06-b2b0-4837-af01-5ff28cccc185 · outbound
Active Human Feedback Collection via Neural Contextual Dueling Bandits A fast bandit algorithm for recommendation to users with heterogenous tastes
Reference 22
Source-reported events for the cited work
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Observation 8fe26830-3893-4cc3-b7cf-ae0509a9532e · outbound
Active Human Feedback Collection via Neural Contextual Dueling Bandits Regret lower bound and optimal algorithm in dueling bandit problem
Reference 23
Source-reported events for the cited work
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Observation d4c74a89-3c93-4501-8f4b-ea2dec209c7f · outbound
Active Human Feedback Collection via Neural Contextual Dueling Bandits Asymptotically efficient adaptive allocation rules
Reference 24
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Active Human Feedback Collection via Neural Contextual Dueling Bandits Bandit Algorithms
Reference 25
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Observation 2140c30b-8451-4a54-a330-624278a32a88 · outbound
Active Human Feedback Collection via Neural Contextual Dueling Bandits Provably optimal algorithms for generalized linear contextual bandits
Reference 26
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Observation 3c157c77-3234-4dfd-9690-f68fc4b83c0b · outbound
Active Human Feedback Collection via Neural Contextual Dueling Bandits Feel-Good Thompson Sampling for Contextual Dueling Bandits
Reference 27
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Observation 7bd464a2-91f2-436e-b4a0-a7980a855f51 · outbound
Active Human Feedback Collection via Neural Contextual Dueling Bandits Use Your INSTINCT: INSTruction optimization for LLMs usIng Neural bandits Coupled with Transformers
Reference 28
Source-reported events for the cited work
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Observation 8300f739-f34b-460a-9c24-a4023fa59254 · outbound
Active Human Feedback Collection via Neural Contextual Dueling Bandits Prompt Optimization with Human Feedback
Reference 29
Source-reported events for the cited work
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Observation 278c2e85-d364-49a7-a783-e2fbfa2d9904 · outbound
Active Human Feedback Collection via Neural Contextual Dueling Bandits Individual choice behavior: A theoretical analysis
Reference 30
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Observation 0ebf2c5f-4315-4abd-bcad-adf4dd5319ea · outbound
Active Human Feedback Collection via Neural Contextual Dueling Bandits Sample Efficient Preference Alignment in LLMs via Active Exploration
Reference 31
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Observation 2069cad4-d689-406c-afde-9eb895806c61 · outbound
Active Human Feedback Collection via Neural Contextual Dueling Bandits Teaching language models to support answers with verified quotes
Reference 32
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Observation 82d87dc1-be05-49ef-8102-dff7346f7045 · outbound
Active Human Feedback Collection via Neural Contextual Dueling Bandits Deep bayesian bandits showdown: An empirical comparison of bayesian deep networks for thompson sampling
Reference 33
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Observation 9c5d88ae-ffac-4c96-9f95-a37c03de196d · outbound
Active Human Feedback Collection via Neural Contextual Dueling Bandits Optimal algorithms for stochastic contextual preference bandits
Reference 34
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Observation 93427b48-f9a3-4c15-8013-0f3eeca7e165 · outbound
Active Human Feedback Collection via Neural Contextual Dueling Bandits Battle of bandits
Reference 35
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Observation 39c6f195-ae93-4208-8fe3-5b4fe1c3c5e3 · outbound
Active Human Feedback Collection via Neural Contextual Dueling Bandits Active ranking with subset-wise preferences
Reference 36
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Observation 98d39aea-4964-4a15-bf8d-606e9f43d0f1 · outbound
Active Human Feedback Collection via Neural Contextual Dueling Bandits Pac battling bandits in the plackett-luce model
Reference 37
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Observation 9d5c356e-0aaa-44ce-a094-46d3311f01fe · outbound
Active Human Feedback Collection via Neural Contextual Dueling Bandits Efficient and optimal algorithms for contextual dueling bandits under realizability
Reference 38
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Observation eb47f4f3-89ee-4281-8013-9840548d9a26 · outbound
Active Human Feedback Collection via Neural Contextual Dueling Bandits Computing parametric ranking models via rank-breaking
Reference 39
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Observation 664ec347-ec3f-4de6-b9fe-ea9d55c6f0a8 · outbound
Active Human Feedback Collection via Neural Contextual Dueling Bandits Gaussian process optimization in the bandit setting: No regret and experimental design
Reference 40
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Observation ee242278-69c0-46d2-8d3f-851be3763a74 · outbound
Active Human Feedback Collection via Neural Contextual Dueling Bandits On the likelihood that one unknown probability exceeds another in view of the evidence of two samples
Reference 41
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Observation e94b8650-1298-4d6a-8a04-65ae2a7c7244 · outbound
Active Human Feedback Collection via Neural Contextual Dueling Bandits User-friendly tail bounds for sums of random matrices
Reference 42
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Observation 8e9f64dc-d676-456e-a592-dd5078da59d3 · outbound
Active Human Feedback Collection via Neural Contextual Dueling Bandits Online algorithm for unsupervised sensor selection
Reference 43
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Active Human Feedback Collection via Neural Contextual Dueling Bandits Thompson sampling for unsupervised sequential selection
Reference 44
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Active Human Feedback Collection via Neural Contextual Dueling Bandits Online algorithm for unsupervised sequential selection with contextual information
Reference 45
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Active Human Feedback Collection via Neural Contextual Dueling Bandits Neural dueling bandits: Preference-based optimization with human feedback
Reference 46
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Observation 6e706e87-c5bf-43ac-8bcb-806d9ee62a2a · outbound
Active Human Feedback Collection via Neural Contextual Dueling Bandits Gaussian Processes for Machine Learning
Reference 47
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Observation d4304843-3dec-4557-b4c3-5e41b9f2fbb2 · outbound
Active Human Feedback Collection via Neural Contextual Dueling Bandits Personalized news recommendation: Methods and challenges
Reference 48
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Observation d5ee8ddd-2d55-423e-9b24-8198a054966f · outbound
Active Human Feedback Collection via Neural Contextual Dueling Bandits Neural contextual bandits with deep representation and shallow exploration
Reference 49
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Observation b8dc5c22-932e-4233-8114-eb2ba34e2e71 · outbound
Active Human Feedback Collection via Neural Contextual Dueling Bandits Conversational dueling bandits in generalized linear models
Reference 50
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Active Human Feedback Collection via Neural Contextual Dueling Bandits Interactively optimizing information retrieval systems as a dueling bandits problem
Reference 51
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Observation 2b0c2085-7d11-4cb6-9588-487fbbe90474 · outbound
Active Human Feedback Collection via Neural Contextual Dueling Bandits Beat the mean bandit
Reference 52
Source-reported events for the cited work
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Observation 211bb2f3-2520-4da6-927e-ed0338cea2c0 · outbound
Active Human Feedback Collection via Neural Contextual Dueling Bandits The k-armed dueling bandits problem
Reference 53
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Observation 74ecfffa-3239-48b9-b6e9-e4fae2f6a09f · outbound
Active Human Feedback Collection via Neural Contextual Dueling Bandits Neural Thompson sampling
Reference 54
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Observation 2e9a3248-f4e1-45de-aabe-3b9ab50b412c · outbound
Active Human Feedback Collection via Neural Contextual Dueling Bandits Prompt learning for news recommendation
Reference 55
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Observation 0390bddf-6d4e-4f22-b23f-ea587fc15d69 · outbound
Active Human Feedback Collection via Neural Contextual Dueling Bandits Neural contextual bandits with UCB -based exploration
Reference 56
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Active Human Feedback Collection via Neural Contextual Dueling Bandits Principled reinforcement learning with human feedback from pairwise or k-wise comparisons
Reference 57
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Observation 56ec91cb-4348-4cc5-ad2f-539cd85d4c6c · outbound
Active Human Feedback Collection via Neural Contextual Dueling Bandits Relative upper confidence bound for the k-armed dueling bandit problem
Reference 58
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Observation 28b099bf-4a80-4cf7-a92f-413e2588e34f · outbound
Active Human Feedback Collection via Neural Contextual Dueling Bandits Relative confidence sampling for efficient on-line ranker evaluation
Reference 59
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Observation 1c677bae-ddef-450e-865d-e26463d7a187 · inbound
ActiveDPO: Active Direct Preference Optimization for Sample-Efficient Alignment Active Human Feedback Collection via Neural Contextual Dueling Bandits
Reference 42
Source-reported events for the cited work
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