Paper Citation Record · LEDGER

Policy Filtration for RLHF to Mitigate Noise in Reward Models

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2409.06957.

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

pith.paper-citation-record.v1
2409.06957 v5

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T14:13:07.112081Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T21:12:45.092087Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation c37ccad0-50a3-4c7a-a227-4b883dc645d1 · inbound

Alignment and Safety in Large Language Models: Safety Mechanisms, Training Paradigms, and Emerging Challenges cites this paper.

Alignment and Safety in Large Language Models: Safety Mechanisms, Training Paradigms, and Emerging Challenges Policy Filtration for RLHF to Mitigate Noise in Reward Models

Reference 222

Resolution: unresolved; no resolver link, observed 2026-08-06T14:13:07.112081Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ba761c82-2742-4e55-9535-f21adb5bad26 · inbound

Let's Revise Step-by-Step: A Unified Local Search Framework for Code Generation with LLMs cites this paper.

Let's Revise Step-by-Step: A Unified Local Search Framework for Code Generation with LLMs Policy Filtration for RLHF to Mitigate Noise in Reward Models

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-05T22:09:46.433018Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b7107d50-4251-4af8-9dcc-3e9f8a8c5c06 · inbound

CodeGrad: Integrating Multi-Step Verification with Gradient-Based LLM Refinement cites this paper.

CodeGrad: Integrating Multi-Step Verification with Gradient-Based LLM Refinement Policy Filtration for RLHF to Mitigate Noise in Reward Models

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-08-05T21:12:45.142668Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 41d818dc-1d65-43f3-80d5-eea368db6efc · inbound

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

Multi-Turn On-Policy Distillation with Prefix Replay Policy Filtration for RLHF to Mitigate Noise in Reward Models

Reference 155

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 05bb07e7-3bce-4277-9e78-8acdfeac9df1 · inbound

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

Multi-Turn On-Policy Distillation with Prefix Replay Policy Filtration for RLHF to Mitigate Noise in Reward Models

Reference 156

Resolution: unresolved; no resolver link, observed 2026-08-02T08:40:49.742842Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.