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Paper Citation Record · LEDGER

Noisy Pairwise-Comparison Random Search for Smooth Nonconvex Optimization

As of 8 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 0 inbound Pith citation observations for arXiv:2601.21166.

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

pith.paper-citation-record.v1
2601.21166 v2

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T07:11:58.676768Z

measured 28 of 28 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

28 of 28 outbound references displayed

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External citation measurements

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Outbound references

Observation 9c3ffd8c-3b88-4635-b978-bf98774f5a79 · outbound

This paper cites Intrinsic dimensionality explains the effectiveness of language model fine-tuning.

Noisy Pairwise-Comparison Random Search for Smooth Nonconvex Optimization Intrinsic dimensionality explains the effectiveness of language model fine-tuning

Reference 1

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source=pdf_text observed=2026-08-03T07:11:57.630172Z digest=sha256:4f1e3f565ecbdc4078af64042e74d52d3d87c5de47a23a72dc90467a83d02843

Observation fbdb719b-3428-4e1d-b5c7-a4d7305e8b9a · outbound

This paper cites Dueling optimization with a monotone adversary.

Noisy Pairwise-Comparison Random Search for Smooth Nonconvex Optimization Dueling optimization with a monotone adversary

Reference 2

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source=pdf_text observed=2026-08-03T07:11:57.695562Z digest=sha256:af3ad46c2cdf764a17277fb6c0fa7b3a64fef230418f30a81d2dbb7582178f63

Observation 3aeaad1b-4460-4ff1-81bf-0ab20d3e813b · outbound

This paper cites Deep reinforcement learning from human preferences.Advances in neural information processing systems, 30, 2017.

Noisy Pairwise-Comparison Random Search for Smooth Nonconvex Optimization Deep reinforcement learning from human preferences.Advances in neural information processing systems, 30, 2017

Reference 3

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source=pdf_text observed=2026-08-03T07:11:57.774325Z digest=sha256:c959ee8dd4189cf7d20f82fc4cc36a80c717d34357c47867ab8beb75bcda0ae4

Observation e47ab520-b7a6-47bd-b25a-7e7a4e9ace00 · outbound

This paper cites Stochastic first-and zeroth-order methods for nonconvex stochastic programming.SIAM journal on optimization, 23(4):2341–2368, 2013.

Noisy Pairwise-Comparison Random Search for Smooth Nonconvex Optimization Stochastic first-and zeroth-order methods for nonconvex stochastic programming.SIAM journal on optimization, 23(4):2341–2368, 2013

Reference 4

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source=pdf_text observed=2026-08-03T07:11:57.874766Z digest=sha256:4a78cf4634203b21ec17ffd17ce5802178fec701a0f1a8eabdf48dfa8d09abab

Observation f70b1d62-8b91-4852-a744-523671dd9f24 · outbound

This paper cites Gradientless descent: High-dimensional zeroth-order optimization.

Noisy Pairwise-Comparison Random Search for Smooth Nonconvex Optimization Gradientless descent: High-dimensional zeroth-order optimization

Reference 5

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source=pdf_text observed=2026-08-03T07:11:57.986738Z digest=sha256:622bdf257ffda5372bb925af56ffb4b22139da6744e1b4d561a4450710634b37

Observation 2215a8c4-a41f-4730-822e-34c9055982d1 · outbound

This paper cites Direct Language Model Alignment from Online AI Feedback.

Noisy Pairwise-Comparison Random Search for Smooth Nonconvex Optimization Direct Language Model Alignment from Online AI Feedback

Reference 6

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source=pdf_text observed=2026-08-03T07:11:58.083080Z digest=sha256:be6b145ebaff8c97693bde63e80143be7d28c03cca8682c299f752a1a8a5cec2

Observation 7142b751-a8f5-436c-8c1c-eb93eae4b4be · outbound

This paper cites Query complexity of derivative-free optimization.Advances in Neural Information Processing Systems, 25, 2012.

Noisy Pairwise-Comparison Random Search for Smooth Nonconvex Optimization Query complexity of derivative-free optimization.Advances in Neural Information Processing Systems, 25, 2012

Reference 7

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source=pdf_text observed=2026-08-03T07:11:58.197013Z digest=sha256:eef51bdb21ac5d836e548ccf378d798b279198d99839f1fdc255af7e83127118

Observation e6fa90af-812f-4a2d-b450-88956982a40f · outbound

This paper cites Margin Matching Preference Optimization: Enhanced Model Alignment with Granular Feedback.

Noisy Pairwise-Comparison Random Search for Smooth Nonconvex Optimization Margin Matching Preference Optimization: Enhanced Model Alignment with Granular Feedback

Reference 8

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source=pdf_text observed=2026-08-03T07:11:58.335445Z digest=sha256:565136ec70a4c26ddb900bea16173a45a99d9beea60e78d3def04c76914e3cf4

Observation 5360cff0-c01d-4d58-b899-19885cb69788 · outbound

This paper cites Kingma and Jimmy Ba.

Noisy Pairwise-Comparison Random Search for Smooth Nonconvex Optimization Kingma and Jimmy Ba

Reference 9

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source=pdf_text observed=2026-08-03T07:11:58.452006Z digest=sha256:352dbdb542ca387c1b29089dee3db0b41e04577ad6387c93bf936eebe6ef6823

Observation 5ce0f7eb-0a35-4037-804f-b2735b8bd671 · outbound

This paper cites B-Pref: Benchmarking Preference-Based Reinforcement Learning.

Noisy Pairwise-Comparison Random Search for Smooth Nonconvex Optimization B-Pref: Benchmarking Preference-Based Reinforcement Learning

Reference 10

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source=pdf_text observed=2026-08-03T07:11:58.497511Z digest=sha256:c5060efbf07067a3967ba4113bba82dd365486ab854c43e3696d802bb4a17652

Observation 09f65eaa-d310-4caf-97e8-3c1ab4ed03ad · outbound

This paper cites Fine-tuning language models with just forward passes.Advances in Neural Information Processing Systems, 36:53038–53075, 2023.

Noisy Pairwise-Comparison Random Search for Smooth Nonconvex Optimization Fine-tuning language models with just forward passes.Advances in Neural Information Processing Systems, 36:53038–53075, 2023

Reference 11

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source=pdf_text observed=2026-08-03T07:11:58.593716Z digest=sha256:fdf161a8e00177746abe8fe34f6816cd37fdeb076880b9471f87cfb35427b157

Observation 1954e64b-cf8a-4e3b-ab37-82c6f5d2ee12 · outbound

This paper cites Direct preference optimization: Your language model is secretly a reward model.

Noisy Pairwise-Comparison Random Search for Smooth Nonconvex Optimization Direct preference optimization: Your language model is secretly a reward model

Reference 12

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source=pdf_text observed=2026-08-03T07:11:58.626778Z digest=sha256:6d7a80eab3b44e989fdd0377d6f872c410e0474c9e482caad6d8becc902fe4aa

Observation 3f91c854-1689-4b08-a4c8-3dbbea6c612f · outbound

This paper cites Dueling convex optimization.

Noisy Pairwise-Comparison Random Search for Smooth Nonconvex Optimization Dueling convex optimization

Reference 13

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source=pdf_text observed=2026-08-03T07:11:58.630005Z digest=sha256:46a364b824d1190a7909c90db4a9b1331501d0f508b082c3cd5ae27cce8c3c73

Observation 0e4cb0b4-a48d-4b85-94ae-302e293bb90d · outbound

This paper cites Faster convergence with multiway preferences.

Noisy Pairwise-Comparison Random Search for Smooth Nonconvex Optimization Faster convergence with multiway preferences

Reference 14

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source=pdf_text observed=2026-08-03T07:11:58.633063Z digest=sha256:fa1d0fd750a1f3baf55f4beac86a4878e35366c794fc3f6712ee5fa2b1dce8a1

Observation 15c57a02-e22e-4500-94d4-0d41043b50b5 · outbound

This paper cites Dueling convex optimization with general preferences.

Noisy Pairwise-Comparison Random Search for Smooth Nonconvex Optimization Dueling convex optimization with general preferences

Reference 15

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source=pdf_text observed=2026-08-03T07:11:58.635980Z digest=sha256:08cd739c3c8fb79cbc305492e8c2a2289c43ddba848c6deaff701f4553a6b4b8

Observation 04e8b6b9-bc9f-420c-8ca4-c8299d40a91c · outbound

This paper cites Proximal Policy Optimization Algorithms.

Noisy Pairwise-Comparison Random Search for Smooth Nonconvex Optimization Proximal Policy Optimization Algorithms

Reference 16

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source=pdf_text observed=2026-08-03T07:11:58.638691Z digest=sha256:c8f08252146fc6d77f54cc6b87351d92be8eb475625662e7ca2fa28a18b7d698

Observation 31ab50f8-9b02-4156-9653-22b5bb6901f1 · outbound

This paper cites Zeroth-order optimization meets human feedback: Provable learning via ranking oracles.

Noisy Pairwise-Comparison Random Search for Smooth Nonconvex Optimization Zeroth-order optimization meets human feedback: Provable learning via ranking oracles

Reference 17

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source=pdf_text observed=2026-08-03T07:11:58.641959Z digest=sha256:a53d14cbc9b77e69e9fcf8925b1514edc2dd4fee0d1a010af8bfd70380762b72

Observation 0bd0164e-1b94-49c2-a136-424570e11ffc · outbound

This paper cites DeepMind Control Suite.

Noisy Pairwise-Comparison Random Search for Smooth Nonconvex Optimization DeepMind Control Suite

Reference 18

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source=pdf_text observed=2026-08-03T07:11:58.644939Z digest=sha256:4915586ed450b7cdbc6f8acbb11077c1a70059319e9bf73883e0e28c9a159e00

Observation f55198af-3de1-46f8-a403-eefd537d1f76 · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

Noisy Pairwise-Comparison Random Search for Smooth Nonconvex Optimization Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 19

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source=pdf_text observed=2026-08-03T07:11:58.648416Z digest=sha256:28c707448b37a175de28e513745a53d91a062f0c4b9b3563c1fc83f3fcca95c3

Observation 4640b07c-9732-4788-acc4-1b31dad8561b · outbound

This paper cites dm control: Software and tasks for continuous control.Software Impacts, 6:100022, 2020.

Noisy Pairwise-Comparison Random Search for Smooth Nonconvex Optimization dm control: Software and tasks for continuous control.Software Impacts, 6:100022, 2020

Reference 20

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source=pdf_text observed=2026-08-03T07:11:58.652135Z digest=sha256:bd186634035ba851186566b1cab831e82eeaac94220a8ed8aeccdc11963dff8d

Observation 3ea27a5b-2ec0-4052-9b0e-6d054629c94d · outbound

This paper cites GLUE: A multi-task benchmark and analysis platform for natural language understanding.

Noisy Pairwise-Comparison Random Search for Smooth Nonconvex Optimization GLUE: A multi-task benchmark and analysis platform for natural language understanding

Reference 21

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source=pdf_text observed=2026-08-03T07:11:58.655374Z digest=sha256:03c862f56ea25e4a15c5ec3ffeac78197e79ced0003b27fa6edc542e454a7ea8

Observation 97ce5715-f3d6-46e2-8d80-7ec10955f120 · outbound

This paper cites Preference-based optimization from noisy pairwise comparisons.arXiv preprint arXiv:2512.18511, 2025.

Noisy Pairwise-Comparison Random Search for Smooth Nonconvex Optimization Preference-based optimization from noisy pairwise comparisons.arXiv preprint arXiv:2512.18511, 2025

Reference 22

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source=pdf_text observed=2026-08-03T07:11:58.658497Z digest=sha256:c2c3d9e06e914142225b79005fe3754bac08f45d7cf65d896dca7814ea8ca3a6

Observation b81207c4-df77-456d-b1f4-76714464f5d0 · outbound

This paper cites Explicit and non-asymptotic query complexities of rank-based zeroth-order algorithms on smooth functions.arXiv preprint arXiv:2512.16200, 2025.

Noisy Pairwise-Comparison Random Search for Smooth Nonconvex Optimization Explicit and non-asymptotic query complexities of rank-based zeroth-order algorithms on smooth functions.arXiv preprint arXiv:2512.16200, 2025

Reference 23

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source=pdf_text observed=2026-08-03T07:11:58.661424Z digest=sha256:57eddee8212e54ce6b75ca9c36d88a390cbb05c48483eeee0969fce226240106

Observation 7e06272e-11cc-414c-9cf1-8a4536f706d1 · outbound

This paper cites Zeroth-order policy gradient for reinforcement learning from human feedback without reward inference.

Noisy Pairwise-Comparison Random Search for Smooth Nonconvex Optimization Zeroth-order policy gradient for reinforcement learning from human feedback without reward inference

Reference 24

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source=pdf_text observed=2026-08-03T07:11:58.664447Z digest=sha256:1a5879418498e1f42c4eda9ee6ac23094b9b0bbe00bc1bffed4411571efa22e0

Observation a1d10550-ace1-4d52-a00d-1b1e8acbc446 · outbound

This paper cites an unresolved cited work.

Noisy Pairwise-Comparison Random Search for Smooth Nonconvex Optimization Unresolved cited work

Reference 25

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source=pdf_text observed=2026-08-03T07:11:58.667508Z digest=sha256:73c05ce36556452eb67006367951e7833080a83c09525e4b6424d8a14b6962aa

Observation 914a05ad-322c-46d3-ab6d-c02ca37d525a · outbound

This paper cites (2) ⇒ (1).Let x∈R d.

Noisy Pairwise-Comparison Random Search for Smooth Nonconvex Optimization (2) ⇒ (1).Let x∈R d

Reference 26

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Observation de3f8e73-4daa-4845-96c3-ae4b684aa4e5 · outbound

This paper cites an unresolved cited work.

Noisy Pairwise-Comparison Random Search for Smooth Nonconvex Optimization Unresolved cited work

Reference 27

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source=pdf_text observed=2026-08-03T07:11:58.673493Z digest=sha256:665f6140ba927be081b43a2a120794347e92e986741d2fce3ff3b7881d070cfb

Observation 70245975-7949-4aff-92b6-1fe50bc02ed5 · outbound

This paper cites prefer y over x.

Noisy Pairwise-Comparison Random Search for Smooth Nonconvex Optimization prefer y over x

Reference 28

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source=pdf_text observed=2026-08-03T07:11:58.676768Z digest=sha256:f5059fcbf19de6fadf81c8c0e19f6e537fea2a7e885aea54b88baad26c12702a

Pith citing papers

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