Paper Citation Record · LEDGER

Plug-and-Play Training Framework for Preference Optimization

As of 16 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 1 inbound Pith citation observation for arXiv:2412.20996.

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

pith.paper-citation-record.v1
2412.20996 v1

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T23:21:34.194345Z

measured 27 of 27 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:54:07.795586Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T10:54:08.296887Z

Reference resolution

26 of 26 outbound references displayed

verified exact0
verified fuzzy0
unresolved26
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3564f12d-8753-4209-a3c5-1e83fba7a1ce · outbound

This paper cites an unresolved cited work.

Plug-and-Play Training Framework for Preference Optimization Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-08-10T23:21:34.589737Z

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 a6b4d70d-78c5-4441-b785-8677fbc71a73 · outbound

This paper cites an unresolved cited work.

Plug-and-Play Training Framework for Preference Optimization Unresolved cited work

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-10T23:21:34.052324Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 15a1c3a6-f2bf-446e-bd22-95f5aae24996 · outbound

This paper cites Large Language Monkeys: Scaling Inference Compute with Repeated Sampling.

Plug-and-Play Training Framework for Preference Optimization Large Language Monkeys: Scaling Inference Compute with Repeated Sampling

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-10T23:21:34.059249Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 59b29907-41e9-47b2-8867-0504f47bb51d · outbound

This paper cites Evaluating Large Language Models Trained on Code.

Plug-and-Play Training Framework for Preference Optimization Evaluating Large Language Models Trained on Code

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-10T23:21:34.066593Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e6eb9c67-cb41-4bb6-823e-2f022e4af616 · outbound

This paper cites Christiano, Jan Leike, Tom B.

Plug-and-Play Training Framework for Preference Optimization Christiano, Jan Leike, Tom B

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-10T23:21:34.072127Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bda95619-6b25-49b0-93fc-dcf667f81195 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

Plug-and-Play Training Framework for Preference Optimization Training Verifiers to Solve Math Word Problems

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-10T23:21:34.077261Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b9db6b3c-c69a-4f0e-bb39-3694e933b3f3 · outbound

This paper cites an unresolved cited work.

Plug-and-Play Training Framework for Preference Optimization Unresolved cited work

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-10T23:21:34.084160Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4a9fd596-47fd-4510-95c5-ac298639d5bf · outbound

This paper cites ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools.

Plug-and-Play Training Framework for Preference Optimization ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-10T23:21:34.090842Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 14bdd9a8-efc5-43c5-a674-38c1d6e609b8 · outbound

This paper cites an unresolved cited work.

Plug-and-Play Training Framework for Preference Optimization Unresolved cited work

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-10T23:21:34.097336Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 52a55dc2-aa65-4924-be4b-b5b8ef5595ed · outbound

This paper cites Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen - Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen.

Plug-and-Play Training Framework for Preference Optimization Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen - Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-10T23:21:34.102620Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ca2d97d6-65c3-449a-a8e3-ee73b60c5396 · outbound

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

Plug-and-Play Training Framework for Preference Optimization Step-DPO: Step-wise Preference Optimization for Long-chain Reasoning of LLMs

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-10T23:21:34.108960Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a17fe85c-4a1b-49b8-a4d2-e93bef8b1e43 · outbound

This paper cites Hashimoto.

Plug-and-Play Training Framework for Preference Optimization Hashimoto

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-10T23:21:34.115144Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3bb3c2b1-e36b-4716-b104-ac03abfa729e · outbound

This paper cites an unresolved cited work.

Plug-and-Play Training Framework for Preference Optimization Unresolved cited work

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-10T23:21:34.120444Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b1241d34-40ee-45e3-9f0d-0d6b37bec68d · outbound

This paper cites an unresolved cited work.

Plug-and-Play Training Framework for Preference Optimization Unresolved cited work

Reference 14

Resolution: unresolved; raw_fallback, observed 2026-08-10T23:21:34.509937Z

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 3e8f2b64-e06a-4f87-b95e-65de95d3453b · outbound

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

Plug-and-Play Training Framework for Preference Optimization SimPO: Simple Preference Optimization with a Reference-Free Reward

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-10T23:21:34.130362Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9bde83f2-9ad4-4195-88e5-facb4cf8b364 · outbound

This paper cites Smaug: Fixing Failure Modes of Preference Optimisation with DPO-Positive.

Plug-and-Play Training Framework for Preference Optimization Smaug: Fixing Failure Modes of Preference Optimisation with DPO-Positive

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-10T23:21:34.136271Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9bc54500-0cbe-4546-a9e8-2b0c65b3e808 · outbound

This paper cites Advantage-Weighted Regression: Simple and Scalable Off-Policy Reinforcement Learning.

Plug-and-Play Training Framework for Preference Optimization Advantage-Weighted Regression: Simple and Scalable Off-Policy Reinforcement Learning

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-10T23:21:34.141759Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 49b7ebf0-4907-404b-a9a7-618928c2db44 · outbound

This paper cites an unresolved cited work.

Plug-and-Play Training Framework for Preference Optimization Unresolved cited work

Reference 18

Resolution: unresolved; raw_fallback, observed 2026-08-10T23:21:34.493314Z

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 19657ecd-2bd3-40df-b998-4af41fcecbe5 · outbound

This paper cites Manning, Stefano Ermon, and Chelsea Finn.

Plug-and-Play Training Framework for Preference Optimization Manning, Stefano Ermon, and Chelsea Finn

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-10T23:21:34.152861Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9a3acaa4-fc68-48dc-8028-907020d36a94 · outbound

This paper cites Proximal Policy Optimization Algorithms.

Plug-and-Play Training Framework for Preference Optimization Proximal Policy Optimization Algorithms

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-10T23:21:34.158147Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a0ab056c-8d66-43d0-a617-e3feb2b29c60 · outbound

This paper cites Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters.

Plug-and-Play Training Framework for Preference Optimization Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-10T23:21:34.164247Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 405f1f26-4d29-43a2-a344-a82199705812 · outbound

This paper cites Le, Ed H.

Plug-and-Play Training Framework for Preference Optimization Le, Ed H

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-10T23:21:34.169349Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a6e3c076-9dc9-4fa4-a83a-532397b0be8f · outbound

This paper cites Qwen2 Technical Report.

Plug-and-Play Training Framework for Preference Optimization Qwen2 Technical Report

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-10T23:21:34.174862Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4fb18886-77a4-47b7-a14e-9cf8ea65bc92 · outbound

This paper cites Kwok, Zhenguo Li, Adrian Weller, and Weiyang Liu.

Plug-and-Play Training Framework for Preference Optimization Kwok, Zhenguo Li, Adrian Weller, and Weiyang Liu

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-10T23:21:34.181641Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0cea60b1-0e76-4b86-acf1-d5eba7e78544 · outbound

This paper cites online" 'onlinestring :=.

Plug-and-Play Training Framework for Preference Optimization online" 'onlinestring :=

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-10T23:21:34.188212Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dec7390c-6d40-4df8-85e1-03edd2e6e097 · outbound

This paper cites write newline.

Plug-and-Play Training Framework for Preference Optimization write newline

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-10T23:21:34.194345Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 1d65934a-13c2-4695-8d3f-7e4726f1ae05 · inbound

Progressive Mastery: Customized Curriculum Learning with Guided Prompting for Mathematical Reasoning cites this paper.

Progressive Mastery: Customized Curriculum Learning with Guided Prompting for Mathematical Reasoning Plug-and-Play Training Framework for Preference Optimization

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-08-07T10:54:08.303337Z

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.