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Paper Citation Record · LEDGER

RLHF Deciphered: A Critical Analysis of Reinforcement Learning from Human Feedback for LLMs

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2404.08555.

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

pith.paper-citation-record.v1
2404.08555 v2

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 2026-08-04T06:34:03.388597+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-30T10:07:39.554999Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T12:44:40.086070Z

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 0192f92d-4e8b-48a5-83a3-8b4552c38577 · inbound

Design Topological Materials by Reinforcement Fine-Tuned Generative Model cites this paper.

Design Topological Materials by Reinforcement Fine-Tuned Generative Model RLHF Deciphered: A Critical Analysis of Reinforcement Learning from Human Feedback for LLMs

Reference 63

Resolution
verified exact
arxiv_id, observed 2026-05-22T19:16:58.673929Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-22T19:15:26.493687Z digest=sha256:e9539b52deae173459a671ef320f8ed175654c4ad67bae1664971f35ee4f27e1

Observation 3397599e-aa4d-4948-a852-e4b7820fc315 · inbound

Understanding the Mechanism of Altruism in Large Language Models cites this paper.

Understanding the Mechanism of Altruism in Large Language Models RLHF Deciphered: A Critical Analysis of Reinforcement Learning from Human Feedback for LLMs

Reference 220

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T13:31:02.095160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-10T01:36:50.329664Z digest=sha256:5c1f7fafd7de57fe3c0003f8bff511591dc0f84935a18ba4a52d4a3df12a21d7

Observation 9b4d72fe-7bac-4803-b262-a665d07aaed0 · inbound

Ethics Testing: Proactive Identification of Generative AI System Harms cites this paper.

Ethics Testing: Proactive Identification of Generative AI System Harms RLHF Deciphered: A Critical Analysis of Reinforcement Learning from Human Feedback for LLMs

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-05-11T14:56:08.134959Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-09T20:49:22.147548Z digest=sha256:b71f465cf6e1a933867def58dfdb620a39ffb4ce6752b9a06f0e73ce5766e426

Observation a8e39a83-0311-4f70-a9ea-4457ffbeae58 · inbound

Wasserstein Distributionally Robust Regret Optimization for Reinforcement Learning from Human Feedback cites this paper.

Wasserstein Distributionally Robust Regret Optimization for Reinforcement Learning from Human Feedback RLHF Deciphered: A Critical Analysis of Reinforcement Learning from Human Feedback for LLMs

Reference 5

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T14:46:46.289373Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-09T21:03:53.045304Z digest=sha256:bed954e5a6a20031d8ecf455f8a80265dbc954cf421cdaa50da87356cb8ac202

Observation d1c5aa97-5a8e-4280-9ba1-b7fc5cff08b5 · 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 RLHF Deciphered: A Critical Analysis of Reinforcement Learning from Human Feedback for LLMs

Reference 48

Resolution
metadata mismatch
arxiv_id, observed 2026-06-30T12:44:40.087477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-06-30T10:07:39.554999Z digest=sha256:beeea31a783f3285b0216c9f1d61d556b66a95e7d626322385fca99d66afbafb