Paper Citation Record · LEDGER

Procedural Fairness Failures in RLHF from Preference Averaging

As of 19 August 2026, this Paper Citation Record lists 8 of 8 outbound references and 0 inbound Pith citation observations for arXiv:2608.10126.

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

pith.paper-citation-record.v1
2608.10126 v1

Coverage vector

measured 8 of 8 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T04:15:38.248174Z

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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

8 of 8 outbound references displayed

verified exact0
verified fuzzy0
unresolved7
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c92d9153-955f-4409-8c5f-ff86cac16482 · outbound

This paper cites Fine-Tuning Language Models from Human Preferences.

Procedural Fairness Failures in RLHF from Preference Averaging Fine-Tuning Language Models from Human Preferences

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-14T04:15:38.192422Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d21df635-6ffb-4a7e-96ce-dc14de00ba1c · outbound

This paper cites Training language models to follow instructions with human feedback.

Procedural Fairness Failures in RLHF from Preference Averaging Training language models to follow instructions with human feedback

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-14T04:15:38.198111Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e3766b2a-9706-466f-a019-2b51725111a8 · outbound

This paper cites $\textit{Ab initio}$ dynamical mean-field theory with natural orbitals renormalization group impurity solver: Formalism and applications.

Procedural Fairness Failures in RLHF from Preference Averaging $\textit{Ab initio}$ dynamical mean-field theory with natural orbitals renormalization group impurity solver: Formalism and applications

Reference 3

Resolution: metadata mismatch; local_arxiv, observed 2026-08-14T04:15:38.406721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ec071893-9b6d-49e0-9113-6bd73884dc47 · outbound

This paper cites Latent Preference Coding: Aligning Large Language Models via Discrete Latent Codes.

Procedural Fairness Failures in RLHF from Preference Averaging Latent Preference Coding: Aligning Large Language Models via Discrete Latent Codes

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-14T04:15:38.214421Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 006d9a92-e3d2-4474-ae74-e729b55f641a · outbound

This paper cites Controllable Preference Optimization: Toward Controllable Multi-Objective Alignment.

Procedural Fairness Failures in RLHF from Preference Averaging Controllable Preference Optimization: Toward Controllable Multi-Objective Alignment

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-14T04:15:38.222855Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e19d68a7-45bd-4d12-a5aa-d51ef1e1a873 · outbound

This paper cites A Survey on Personalized and Pluralistic Preference Alignment in Large Language Models.

Procedural Fairness Failures in RLHF from Preference Averaging A Survey on Personalized and Pluralistic Preference Alignment in Large Language Models

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-14T04:15:38.236029Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ca990641-9310-4004-a49f-2cf44770d3a6 · outbound

This paper cites an unresolved cited work.

Procedural Fairness Failures in RLHF from Preference Averaging Unresolved cited work

Reference 7

Resolution: unresolved; raw_fallback, observed 2026-08-14T04:15:38.473629Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 00a91046-ce5b-4259-9251-58c85057b1f6 · outbound

This paper cites Personalisation within bounds: A risk taxonomy and policy framework for the alignment of large language models with personalised feedback.

Procedural Fairness Failures in RLHF from Preference Averaging Personalisation within bounds: A risk taxonomy and policy framework for the alignment of large language models with personalised feedback

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-14T04:15:38.248174Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.