Paper Citation Record · LEDGER

P-Check: Advancing Personalized Reward Model via Learning to Generate Dynamic Checklist

As of 10 August 2026, this Paper Citation Record lists 8 of 8 outbound references and 1 inbound Pith citation observation for arXiv:2601.02986.

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

pith.paper-citation-record.v1
2601.02986 v3

Coverage vector

measured 8 of 8 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T12:29:44.180267Z

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-10T13:58:53.430492Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-05-10T14:00:28.429589Z

Reference resolution

8 of 8 outbound references displayed

verified exact0
verified fuzzy0
unresolved6
parse uncertain1
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d251bfe8-e455-4f79-8f50-b301e2fcc9b7 · outbound

This paper cites an unresolved cited work.

P-Check: Advancing Personalized Reward Model via Learning to Generate Dynamic Checklist Unresolved cited work

Reference 2

Resolution: parse uncertain; no resolver link, observed 2026-08-03T12:29:44.124830Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 241219b3-cab4-4018-924b-1d4a01c8c11f · outbound

This paper cites Use the checklist as feedback: incorporate relevant criteria while preserving correct and helpful content.

P-Check: Advancing Personalized Reward Model via Learning to Generate Dynamic Checklist Use the checklist as feedback: incorporate relevant criteria while preserving correct and helpful content

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-03T12:29:44.180267Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7c94dc5b-54a7-489e-9f51-e93e7a6c470a · outbound

This paper cites StepWiser: Stepwise Generative Judges for Wiser Reasoning.

P-Check: Advancing Personalized Reward Model via Learning to Generate Dynamic Checklist StepWiser: Stepwise Generative Judges for Wiser Reasoning

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-03T12:29:43.974215Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2ddb89cf-e45f-4530-9a3b-1dea7a706d62 · outbound

This paper cites Scaling Relationship on Learning Mathematical Reasoning with Large Language Models.

P-Check: Advancing Personalized Reward Model via Learning to Generate Dynamic Checklist Scaling Relationship on Learning Mathematical Reasoning with Large Language Models

Reference 6

Resolution: malformed identifier; no resolver link, observed 2026-08-03T12:29:44.062804Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d6a81e8f-f4af-48cb-860e-13fef9e080e3 · outbound

This paper cites Anisha Gunjal, Anthony Wang, Elaine Lau, Vaskar Nath, Yunzhong He, Bing Liu, and Sean Hendryx.

P-Check: Advancing Personalized Reward Model via Learning to Generate Dynamic Checklist Anisha Gunjal, Anthony Wang, Elaine Lau, Vaskar Nath, Yunzhong He, Bing Liu, and Sean Hendryx

Reference 1993

Resolution: unresolved; no resolver link, observed 2026-08-03T12:29:43.686297Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 92c0a982-70b6-4323-94a8-1cc5954d08a9 · outbound

This paper cites Personalized Soups: Personalized Large Language Model Alignment via Post-hoc Parameter Merging.

P-Check: Advancing Personalized Reward Model via Learning to Generate Dynamic Checklist Personalized Soups: Personalized Large Language Model Alignment via Post-hoc Parameter Merging

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-03T12:29:43.847480Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e32ca7d8-4c0b-4a10-93a1-8148a62a2950 · outbound

This paper cites Efficient Memory Management for Large Language Model Serving with PagedAttention.

P-Check: Advancing Personalized Reward Model via Learning to Generate Dynamic Checklist Efficient Memory Management for Large Language Model Serving with PagedAttention

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-03T12:29:43.908771Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a747276c-e1b0-41d0-81a2-c2a8913f7025 · outbound

This paper cites Rubrics as Rewards: Reinforcement Learning Beyond Verifiable Domains.

P-Check: Advancing Personalized Reward Model via Learning to Generate Dynamic Checklist Rubrics as Rewards: Reinforcement Learning Beyond Verifiable Domains

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-03T12:29:43.786052Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 2e14b05e-f5bf-4458-ab3e-8169f130eb29 · inbound

Reward Hacking in the Era of Large Models: Mechanisms, Emergent Misalignment, Challenges cites this paper.

Reward Hacking in the Era of Large Models: Mechanisms, Emergent Misalignment, Challenges P-Check: Advancing Personalized Reward Model via Learning to Generate Dynamic Checklist

Reference 150

Resolution: verified exact; local_arxiv, observed 2026-05-10T14:00:28.432183Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.