Paper Citation Record · LEDGER

PIPA: Preference Alignment as Prior-Informed Statistical Estimation

As of 14 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 0 inbound Pith citation observations for arXiv:2502.05773.

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

pith.paper-citation-record.v1
2502.05773 v2

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T18:10:53.458422Z

measured 35 of 35 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+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

35 of 35 outbound references displayed

verified exact2
verified fuzzy1
unresolved32
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a869fe09-2ea4-4a9f-a322-c1eff8008cb4 · outbound

This paper cites Learning from negative feedback, or positive feedback or both.

PIPA: Preference Alignment as Prior-Informed Statistical Estimation Learning from negative feedback, or positive feedback or both

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-08T18:10:53.340865Z

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Unavailable: canonical work link unavailable.

Observation db981569-bbae-4bbb-9a6c-4b523ed8decb · outbound

This paper cites AlphaMath Almost Zero: Process Supervision without Process.

PIPA: Preference Alignment as Prior-Informed Statistical Estimation AlphaMath Almost Zero: Process Supervision without Process

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-08T18:10:53.351858Z

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Observation 1c8db598-fd29-4a54-ac1d-4ffa02a74aa8 · outbound

This paper cites The Llama 3 Herd of Models.

PIPA: Preference Alignment as Prior-Informed Statistical Estimation The Llama 3 Herd of Models

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-08T18:10:53.358850Z

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Observation bfb4e99f-bfdf-4464-8ff4-4f5022b07e01 · outbound

This paper cites A density estimation perspective on learning from pairwise human preferences.

PIPA: Preference Alignment as Prior-Informed Statistical Estimation A density estimation perspective on learning from pairwise human preferences

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-08T18:10:53.362923Z

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Observation 42ec5816-5684-40d8-8f3b-ddce6bd3e19d · outbound

This paper cites KTO: Model Alignment as Prospect Theoretic Optimization.

PIPA: Preference Alignment as Prior-Informed Statistical Estimation KTO: Model Alignment as Prospect Theoretic Optimization

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-08T18:10:53.366395Z

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Observation b1c35814-267b-4b9e-9abe-6ac178bfb733 · outbound

This paper cites ToRA: A Tool-Integrated Reasoning Agent for Mathematical Problem Solving.

PIPA: Preference Alignment as Prior-Informed Statistical Estimation ToRA: A Tool-Integrated Reasoning Agent for Mathematical Problem Solving

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-08T18:10:53.369715Z

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Observation bb67e40f-4cf7-42ae-8179-a6522be88ea6 · outbound

This paper cites rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking.

PIPA: Preference Alignment as Prior-Informed Statistical Estimation rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-08T18:10:53.373963Z

Source-reported events for the cited work

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Observation e0267fe8-794e-4583-8a94-005c3ab57fbd · outbound

This paper cites Measuring Mathematical Problem Solving With the MATH Dataset.

PIPA: Preference Alignment as Prior-Informed Statistical Estimation Measuring Mathematical Problem Solving With the MATH Dataset

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-08T18:10:53.380575Z

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Observation ae9d5c95-2e19-4a76-95f1-22213100fe36 · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

PIPA: Preference Alignment as Prior-Informed Statistical Estimation LoRA: Low-Rank Adaptation of Large Language Models

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-08T18:10:53.384027Z

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Observation cbbde740-5f70-4ffc-9d45-157e1e11084d · outbound

This paper cites OpenRLHF: An Easy-to-use, Scalable and High-performance RLHF Framework.

PIPA: Preference Alignment as Prior-Informed Statistical Estimation OpenRLHF: An Easy-to-use, Scalable and High-performance RLHF Framework

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-08T18:10:53.386861Z

Source-reported events for the cited work

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Observation 184611e2-ca00-49f0-9320-c3fe399d533d · outbound

This paper cites A Distributional Approach to Controlled Text Generation.

PIPA: Preference Alignment as Prior-Informed Statistical Estimation A Distributional Approach to Controlled Text Generation

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-08T18:10:53.390096Z

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Observation c620067a-5469-4982-bbf5-665206007a51 · outbound

This paper cites Let's Verify Step by Step.

PIPA: Preference Alignment as Prior-Informed Statistical Estimation Let's Verify Step by Step

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-08T18:10:53.396690Z

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Observation 633c2580-ae6d-44b5-8df8-b43e7dba58a0 · outbound

This paper cites Step-KTO: Optimizing Mathematical Reasoning through Stepwise Binary Feedback.

PIPA: Preference Alignment as Prior-Informed Statistical Estimation Step-KTO: Optimizing Mathematical Reasoning through Stepwise Binary Feedback

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-08T18:10:53.399807Z

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Observation fb198fad-5d20-4ba4-8b02-351a13ba207f · outbound

This paper cites TIS-DPO: Token-level Importance Sampling for Direct Preference Optimization With Estimated Weights.

PIPA: Preference Alignment as Prior-Informed Statistical Estimation TIS-DPO: Token-level Importance Sampling for Direct Preference Optimization With Estimated Weights

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-08T18:10:53.403293Z

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Observation 01f88fa3-c77b-44a4-9d1a-f45e326b74e3 · outbound

This paper cites SimPO: Simple Preference Optimization with a Reference-Free Reward.

PIPA: Preference Alignment as Prior-Informed Statistical Estimation SimPO: Simple Preference Optimization with a Reference-Free Reward

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-08T18:10:53.406513Z

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Observation 52924448-f3bd-467e-863b-c2a89593b9da · outbound

This paper cites BRAIn: Bayesian Reward-conditioned Amortized Inference for natural language generation from feedback.

PIPA: Preference Alignment as Prior-Informed Statistical Estimation BRAIn: Bayesian Reward-conditioned Amortized Inference for natural language generation from feedback

Reference 21

Resolution: verified exact; local_arxiv, observed 2026-08-08T18:10:53.595190Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 9b4352dd-93a6-40ec-bb58-8b885156257f · outbound

This paper cites Iterative Reasoning Preference Optimization.

PIPA: Preference Alignment as Prior-Informed Statistical Estimation Iterative Reasoning Preference Optimization

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-08T18:10:53.414173Z

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Observation 3c873275-e653-42f2-a8b7-2bd1fb2da73f · outbound

This paper cites Distributional Reinforcement Learning for Energy-Based Sequential Models.

PIPA: Preference Alignment as Prior-Informed Statistical Estimation Distributional Reinforcement Learning for Energy-Based Sequential Models

Reference 23

Resolution: verified exact; local_arxiv, observed 2026-08-08T18:10:53.574432Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 6ca434a0-5e97-4251-bae6-9b0c3d111987 · outbound

This paper cites Unintentional Unalignment: Likelihood Displacement in Direct Preference Optimization.

PIPA: Preference Alignment as Prior-Informed Statistical Estimation Unintentional Unalignment: Likelihood Displacement in Direct Preference Optimization

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-08T18:10:53.423975Z

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Observation 99303e61-f71a-423f-bb96-2215a3635f4d · outbound

This paper cites Proximal Policy Optimization Algorithms.

PIPA: Preference Alignment as Prior-Informed Statistical Estimation Proximal Policy Optimization Algorithms

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-08T18:10:53.426779Z

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Observation 38788a5f-748a-40cb-8c14-7866e2068cf4 · outbound

This paper cites Generalized Preference Optimization: A Unified Approach to Offline Alignment.

PIPA: Preference Alignment as Prior-Informed Statistical Estimation Generalized Preference Optimization: A Unified Approach to Offline Alignment

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-08T18:10:53.433659Z

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Observation 3b599f16-a305-4fc8-9721-66e3ce66ec3c · outbound

This paper cites Offline Reinforcement Learning for LLM Multi-Step Reasoning.

PIPA: Preference Alignment as Prior-Informed Statistical Estimation Offline Reinforcement Learning for LLM Multi-Step Reasoning

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-08T18:10:53.436669Z

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Observation 4169deec-8b4d-4d56-b262-25b42c7f9643 · outbound

This paper cites Qwen2.5-Math Technical Report: Toward Mathematical Expert Model via Self-Improvement.

PIPA: Preference Alignment as Prior-Informed Statistical Estimation Qwen2.5-Math Technical Report: Toward Mathematical Expert Model via Self-Improvement

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-08T18:10:53.439730Z

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Observation 404700b7-9a2b-4d46-9a65-bf8dc02287f0 · outbound

This paper cites Token-level Direct Preference Optimization.

PIPA: Preference Alignment as Prior-Informed Statistical Estimation Token-level Direct Preference Optimization

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-08T18:10:53.442993Z

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Observation 2c915cf3-30ac-4f5a-a29b-5b1223555aed · outbound

This paper cites ReST-MCTS*: LLM Self-Training via Process Reward Guided Tree Search.

PIPA: Preference Alignment as Prior-Informed Statistical Estimation ReST-MCTS*: LLM Self-Training via Process Reward Guided Tree Search

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-08T18:10:53.446974Z

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Observation 0247b814-5dab-4ed2-8f03-997e2df12d94 · outbound

This paper cites DPO Meets PPO: Reinforced Token Optimization for RLHF.

PIPA: Preference Alignment as Prior-Informed Statistical Estimation DPO Meets PPO: Reinforced Token Optimization for RLHF

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-08T18:10:53.450848Z

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Observation 9c916166-c222-4c93-a4fe-a1c463add787 · outbound

This paper cites DeepSeek-Coder-V2: Breaking the Barrier of Closed-Source Models in Code Intelligence.

PIPA: Preference Alignment as Prior-Informed Statistical Estimation DeepSeek-Coder-V2: Breaking the Barrier of Closed-Source Models in Code Intelligence

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-08T18:10:53.454224Z

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Observation 50182318-2c61-450f-9ba8-3b7aaa1fd591 · outbound

This paper cites Treating the sequences as a whole, the original DPO loss is given by LDPO(x, y+, y−, c+, c−) =− log σ X t rt(x, y+) − X t rt(x, y−) !.

PIPA: Preference Alignment as Prior-Informed Statistical Estimation Treating the sequences as a whole, the original DPO loss is given by LDPO(x, y+, y−, c+, c−) =− log σ X t rt(x, y+) − X t rt(x, y−) !

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:10:53.853162Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 7d34b587-4f78-4d23-ab71-4222eaa0414b · outbound

This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

PIPA: Preference Alignment as Prior-Informed Statistical Estimation DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 2017

Resolution: unresolved; no resolver link, observed 2026-08-08T18:10:53.430637Z

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Observation fa0fa2ab-c8a0-4e6d-b5be-63ace50658b6 · outbound

This paper cites UI-TARS: Pioneering Automated GUI Interaction with Native Agents.

PIPA: Preference Alignment as Prior-Informed Statistical Estimation UI-TARS: Pioneering Automated GUI Interaction with Native Agents

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-08T18:10:53.420778Z

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Observation 9192cd6e-6866-4b1a-8956-9477bd06f053 · outbound

This paper cites RLHF Workflow: From Reward Modeling to Online RLHF.

PIPA: Preference Alignment as Prior-Informed Statistical Estimation RLHF Workflow: From Reward Modeling to Online RLHF

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-08T18:10:53.355108Z

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Observation 4f4307c2-cea9-4983-a12e-5a00a1d79f35 · outbound

This paper cites Step-DPO: Step-wise Preference Optimization for Long-chain Reasoning of LLMs.

PIPA: Preference Alignment as Prior-Informed Statistical Estimation Step-DPO: Step-wise Preference Optimization for Long-chain Reasoning of LLMs

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-08T18:10:53.393381Z

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Observation bb563930-792b-4ab2-b5c8-1eef0d77164f · outbound

This paper cites Back to Basics: Revisiting REINFORCE Style Optimization for Learning from Human Feedback in LLMs.

PIPA: Preference Alignment as Prior-Informed Statistical Estimation Back to Basics: Revisiting REINFORCE Style Optimization for Learning from Human Feedback in LLMs

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-08T18:10:53.348818Z

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Observation 1d47ed88-ee14-4d31-a401-0e3114e2f2d0 · outbound

This paper cites GPT-4 Technical Report.

PIPA: Preference Alignment as Prior-Informed Statistical Estimation GPT-4 Technical Report

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-08T18:10:53.345556Z

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Observation b5eb9dc4-4f7a-4afb-96da-16520c492d9f · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

PIPA: Preference Alignment as Prior-Informed Statistical Estimation DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-08T18:10:53.377526Z

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Pith citing papers

No inbound Pith citation observations are available.