Paper Citation Record · LEDGER

Statistical Rejection Sampling Improves Preference Optimization

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 41 inbound Pith citation observations for arXiv:2309.06657.

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

pith.paper-citation-record.v1
2309.06657 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 41 of 41 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 41 of 41 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:40:33.689723Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-03T01:17:30.660177Z

Reference resolution

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External citation measurements

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Outbound references

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Pith citing papers

Observation c824ec30-1705-4773-92cb-e167098feb8e · inbound

RED: Unleashing Token-Level Rewards from Holistic Feedback via Reward Redistribution cites this paper.

RED: Unleashing Token-Level Rewards from Holistic Feedback via Reward Redistribution Statistical Rejection Sampling Improves Preference Optimization

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-12T21:50:34.729198Z

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Observation c33e5668-b295-4b15-9dba-830b5acee434 · inbound

Enhancing the Reasoning Ability of Multimodal Large Language Models via Mixed Preference Optimization cites this paper.

Enhancing the Reasoning Ability of Multimodal Large Language Models via Mixed Preference Optimization Statistical Rejection Sampling Improves Preference Optimization

Reference 55

Resolution: verified exact; arxiv_id, observed 2026-05-16T09:16:17.289989Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation b530734b-bf51-43c2-bb55-b2345dbb6d04 · inbound

BPO: Towards Balanced Preference Optimization between Knowledge Breadth and Depth in Alignment cites this paper.

BPO: Towards Balanced Preference Optimization between Knowledge Breadth and Depth in Alignment Statistical Rejection Sampling Improves Preference Optimization

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-12T19:14:36.991382Z

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Observation c5b7fa9b-491e-42b9-b450-131bf43bd4af · inbound

Reward Modeling with Ordinal Feedback: Wisdom of the Crowd cites this paper.

Reward Modeling with Ordinal Feedback: Wisdom of the Crowd Statistical Rejection Sampling Improves Preference Optimization

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-12T17:15:47.885158Z

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Observation 47aab478-dada-4d51-968b-e8001c8c2eef · inbound

DSTC: Direct Preference Learning with Only Self-Generated Tests and Code to Improve Code LMs cites this paper.

DSTC: Direct Preference Learning with Only Self-Generated Tests and Code to Improve Code LMs Statistical Rejection Sampling Improves Preference Optimization

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-12T17:05:15.145501Z

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Observation 32855b2e-1994-4440-8ade-2291b1ab1ee9 · inbound

Video-Text Dataset Construction from Multi-AI Feedback: Promoting Weak-to-Strong Preference Learning for Video Large Language Models cites this paper.

Video-Text Dataset Construction from Multi-AI Feedback: Promoting Weak-to-Strong Preference Learning for Video Large Language Models Statistical Rejection Sampling Improves Preference Optimization

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-12T13:31:10.616988Z

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Observation 8e461d49-9e9e-40c5-a340-1ab0792071c5 · inbound

Mind the Gap: Examining the Self-Improvement Capabilities of Large Language Models cites this paper.

Mind the Gap: Examining the Self-Improvement Capabilities of Large Language Models Statistical Rejection Sampling Improves Preference Optimization

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-11T23:15:28.677019Z

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Observation 648433e8-5327-4257-bc40-6a092fb608d9 · inbound

Hybrid Preference Optimization for Alignment: Provably Faster Convergence Rates by Combining Offline Preferences with Online Exploration cites this paper.

Hybrid Preference Optimization for Alignment: Provably Faster Convergence Rates by Combining Offline Preferences with Online Exploration Statistical Rejection Sampling Improves Preference Optimization

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-11T15:55:20.371083Z

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Observation 6a4a4bff-479e-4ce9-a2de-474314a45475 · inbound

The Superalignment of Superhuman Intelligence with Large Language Models cites this paper.

The Superalignment of Superhuman Intelligence with Large Language Models Statistical Rejection Sampling Improves Preference Optimization

Reference 5

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Unavailable: canonical work link unavailable.

Observation 94e74565-4152-452b-a67b-9fc9f26d2469 · inbound

How to Synthesize Text Data without Model Collapse? cites this paper.

How to Synthesize Text Data without Model Collapse? Statistical Rejection Sampling Improves Preference Optimization

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-11T12:05:48.496034Z

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Observation 0ef3e392-0d32-4c33-b50e-afea7fff831b · inbound

CRPO: Confidence-Reward Driven Preference Optimization for Machine Translation cites this paper.

CRPO: Confidence-Reward Driven Preference Optimization for Machine Translation Statistical Rejection Sampling Improves Preference Optimization

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-10T15:33:49.325078Z

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Unavailable: canonical work link unavailable.

Observation 3d3bb5d8-2270-436a-ab72-33a6e358a940 · inbound

Clear Preferences Leave Traces: Reference Model-Guided Sampling for Preference Learning cites this paper.

Clear Preferences Leave Traces: Reference Model-Guided Sampling for Preference Learning Statistical Rejection Sampling Improves Preference Optimization

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-10T14:39:22.630705Z

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Observation 9f60a0c9-e24e-48f1-9307-f3c5565b4fa2 · inbound

Reviving The Classics: Active Reward Modeling in Large Language Model Alignment cites this paper.

Reviving The Classics: Active Reward Modeling in Large Language Model Alignment Statistical Rejection Sampling Improves Preference Optimization

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-09T11:47:17.565775Z

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Observation f0aa428f-f6e7-43bd-a7e9-c9c24fce7851 · inbound

CALM: Co-evolution of Algorithms and Language Model for Automatic Heuristic Design cites this paper.

CALM: Co-evolution of Algorithms and Language Model for Automatic Heuristic Design Statistical Rejection Sampling Improves Preference Optimization

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-15T20:40:33.689723Z

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Observation 10740686-15de-458a-8a08-82ef54fc1c73 · inbound

Learning a Pessimistic Reward Model in RLHF cites this paper.

Learning a Pessimistic Reward Model in RLHF Statistical Rejection Sampling Improves Preference Optimization

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T14:01:05.396920Z

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Observation 9d2fe920-b1a1-4ac1-acf1-4f5e463db2ba · inbound

Square$\chi$PO: Differentially Private and Robust $\chi^2$-Preference Optimization in Offline Direct Alignment cites this paper.

Square$\chi$PO: Differentially Private and Robust $\chi^2$-Preference Optimization in Offline Direct Alignment Statistical Rejection Sampling Improves Preference Optimization

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-07T13:44:57.881471Z

Source-reported events for the cited work

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Observation 41e00320-9fdb-472b-a391-488796e832a0 · inbound

Modeling and Optimizing User Preferences in AI Copilots: A Comprehensive Survey and Taxonomy cites this paper.

Modeling and Optimizing User Preferences in AI Copilots: A Comprehensive Survey and Taxonomy Statistical Rejection Sampling Improves Preference Optimization

Reference 104

Resolution: unresolved; no resolver link, observed 2026-08-07T13:24:30.648329Z

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Unavailable: canonical work link unavailable.

Observation 5e9a7c7f-6d8b-48bb-a13c-f3dd10c93cb9 · inbound

Thompson Sampling in Online RLHF with General Function Approximation cites this paper.

Thompson Sampling in Online RLHF with General Function Approximation Statistical Rejection Sampling Improves Preference Optimization

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T12:43:48.431444Z

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Observation 8d9f8622-e1c9-452a-a71b-742cf211ddd4 · inbound

Smoothed Preference Optimization via ReNoise Inversion for Aligning Diffusion Models with Varied Human Preferences cites this paper.

Smoothed Preference Optimization via ReNoise Inversion for Aligning Diffusion Models with Varied Human Preferences Statistical Rejection Sampling Improves Preference Optimization

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T11:26:57.308215Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4c055b56-2701-4ae8-8fbb-2fc9eba799b1 · inbound

ReCUT: Balancing Reasoning Length and Accuracy in LLMs via Stepwise Trails and Preference Optimization cites this paper.

ReCUT: Balancing Reasoning Length and Accuracy in LLMs via Stepwise Trails and Preference Optimization Statistical Rejection Sampling Improves Preference Optimization

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T04:24:02.421271Z

Source-reported events for the cited work

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Observation d68b4f96-d8a1-4c78-a8f5-74ec1ec203de · inbound

Bridging Offline and Online Reinforcement Learning for LLMs cites this paper.

Bridging Offline and Online Reinforcement Learning for LLMs Statistical Rejection Sampling Improves Preference Optimization

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T22:28:07.163268Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8345db02-524c-42cc-9e93-99dfba1bf963 · inbound

Inverse Reinforcement Learning Meets Large Language Model Post-Training: Basics, Advances, and Opportunities cites this paper.

Inverse Reinforcement Learning Meets Large Language Model Post-Training: Basics, Advances, and Opportunities Statistical Rejection Sampling Improves Preference Optimization

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-06T16:34:25.092262Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 092382b6-2b8c-42d5-9650-e3796259d9ac · inbound

Temporal Self-Rewarding Language Models: Decoupling Chosen-Rejected via Past-Future cites this paper.

Temporal Self-Rewarding Language Models: Decoupling Chosen-Rejected via Past-Future Statistical Rejection Sampling Improves Preference Optimization

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-05T23:06:49.645169Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b8b226be-80c6-4ec8-90d4-8fd3d7beda10 · inbound

PKG-DPO: Optimizing Domain-Specific AI systems with Physics Knowledge Graphs and Direct Preference Optimization cites this paper.

PKG-DPO: Optimizing Domain-Specific AI systems with Physics Knowledge Graphs and Direct Preference Optimization Statistical Rejection Sampling Improves Preference Optimization

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-05T16:30:13.422573Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 72979ff6-f349-44ed-a7d6-d56854c786b7 · inbound

Do LLM Modules Generalize? A Study on Motion Generation for Autonomous Driving cites this paper.

Do LLM Modules Generalize? A Study on Motion Generation for Autonomous Driving Statistical Rejection Sampling Improves Preference Optimization

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-05T11:30:39.841578Z

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Unavailable: canonical work link unavailable.

Observation 0ea8dbbf-0c3d-4d0c-b1c7-fb18f039d4e7 · inbound

SHE: Stepwise Hybrid Examination Reinforcement Learning Framework for E-commerce Search Relevance cites this paper.

SHE: Stepwise Hybrid Examination Reinforcement Learning Framework for E-commerce Search Relevance Statistical Rejection Sampling Improves Preference Optimization

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-18T09:36:11.230544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 0fdf0e4a-ba7e-46c6-9975-7e81f73d13b9 · inbound

Beyond Importance Sampling: Rejection-Gated Policy Optimization cites this paper.

Beyond Importance Sampling: Rejection-Gated Policy Optimization Statistical Rejection Sampling Improves Preference Optimization

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-10T11:30:18.778593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation a2a2cfc4-c3ad-45dd-89c0-3094a38f3b29 · inbound

Reasoning Structure Matters for Safety Alignment of Reasoning Models cites this paper.

Reasoning Structure Matters for Safety Alignment of Reasoning Models Statistical Rejection Sampling Improves Preference Optimization

Reference 42

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T12:56:04.115722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 37f56f6a-d22a-466c-b5aa-bcf3033f0566 · inbound

HiPO: Hierarchical Preference Optimization for Adaptive Reasoning in LLMs cites this paper.

HiPO: Hierarchical Preference Optimization for Adaptive Reasoning in LLMs Statistical Rejection Sampling Improves Preference Optimization

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-10T00:54:48.584130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 50a5ae45-660c-4b1b-b769-58288a06f74b · inbound

Supplement Generation Training for Enhancing Agentic Task Performance cites this paper.

Supplement Generation Training for Enhancing Agentic Task Performance Statistical Rejection Sampling Improves Preference Optimization

Reference 46

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T00:59:49.531092Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 8f1a64bc-0b13-4256-9573-312652e6000e · inbound

Efficient Preference Poisoning Attack on Offline RLHF cites this paper.

Efficient Preference Poisoning Attack on Offline RLHF Statistical Rejection Sampling Improves Preference Optimization

Reference 80

Resolution: metadata mismatch; arxiv_id, observed 2026-05-09T05:50:27.173052Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 359e0d48-73cc-4d37-a616-09c67fa5c344 · inbound

Beyond Negative Rollouts: Positive-Only Policy Optimization with Implicit Negative Gradients cites this paper.

Beyond Negative Rollouts: Positive-Only Policy Optimization with Implicit Negative Gradients Statistical Rejection Sampling Improves Preference Optimization

Reference 25

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T20:16:08.547916Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 8070190b-b727-4a74-b125-30ae1a237423 · inbound

Response Time Enhances Alignment with Heterogeneous Preferences cites this paper.

Response Time Enhances Alignment with Heterogeneous Preferences Statistical Rejection Sampling Improves Preference Optimization

Reference 166

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T04:45:59.782062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 562b6676-0d06-48a8-beef-5182bb4a7395 · inbound

TokenRatio: Principled Token-Level Preference Optimization via Ratio Matching cites this paper.

TokenRatio: Principled Token-Level Preference Optimization via Ratio Matching Statistical Rejection Sampling Improves Preference Optimization

Reference 112

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T04:57:17.284521Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 8df7b4cb-a5d7-49bb-8496-79b847b3a2a6 · inbound

TokenRatio: Principled Token-Level Preference Optimization via Ratio Matching cites this paper.

TokenRatio: Principled Token-Level Preference Optimization via Ratio Matching Statistical Rejection Sampling Improves Preference Optimization

Reference 112

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T05:45:06.667802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 83ac0f78-88ac-4817-9194-7682d793bd13 · inbound

Gradient-Guided Reward Optimization for Inference-time Alignment cites this paper.

Gradient-Guided Reward Optimization for Inference-time Alignment Statistical Rejection Sampling Improves Preference Optimization

Reference 29

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T01:17:30.661524Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 83c5d7a1-e3bf-44bd-afd3-774f0fea94e4 · inbound

BV-Blend: Uncertainty-Weighted Historical Baselines for Stable Critic-Free RL with Verifiable Rewards cites this paper.

BV-Blend: Uncertainty-Weighted Historical Baselines for Stable Critic-Free RL with Verifiable Rewards Statistical Rejection Sampling Improves Preference Optimization

Reference 52

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T12:44:40.158482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation d44c5aba-3f08-4bb6-b0d3-ca20f5df1148 · inbound

Multi-Turn On-Policy Distillation with Prefix Replay cites this paper.

Multi-Turn On-Policy Distillation with Prefix Replay Statistical Rejection Sampling Improves Preference Optimization

Reference 261

Resolution: unresolved; no resolver link, observed 2026-07-11T13:53:36.775836Z

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Unavailable: canonical work link unavailable.

Observation 8c2d654c-71e1-4dc5-b084-4cc6390e2569 · inbound

Multi-Turn On-Policy Distillation with Prefix Replay cites this paper.

Multi-Turn On-Policy Distillation with Prefix Replay Statistical Rejection Sampling Improves Preference Optimization

Reference 262

Resolution: unresolved; no resolver link, observed 2026-08-02T08:41:02.899448Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4bdf339d-0117-4b99-ad3b-f719cd719c69 · inbound

Test-Time Scaling via Error Localization cites this paper.

Test-Time Scaling via Error Localization Statistical Rejection Sampling Improves Preference Optimization

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-01T07:28:20.944852Z

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Unavailable: canonical work link unavailable.

Observation a7c89481-c50e-4fb7-bd88-1b64a93cb4d1 · inbound

Beyond Post-Hoc Temperature Scaling: Bilevel Optimization for LLM Calibration cites this paper.

Beyond Post-Hoc Temperature Scaling: Bilevel Optimization for LLM Calibration Statistical Rejection Sampling Improves Preference Optimization

Reference 164

Resolution: unresolved; no resolver link, observed 2026-08-15T14:33:57.530737Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.