Paper Citation Record · LEDGER

RLHF from Heterogeneous Feedback via Personalization and Preference Aggregation

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 15 inbound Pith citation observations for arXiv:2405.00254.

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

pith.paper-citation-record.v1
2405.00254 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 15 of 15 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:31:05.229990Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T18:28:48.418933Z

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 310957cd-3dfd-4981-9928-d4c190692c08 · inbound

MOSLIM:Align with diverse preferences in prompts through reward classification cites this paper.

MOSLIM:Align with diverse preferences in prompts through reward classification RLHF from Heterogeneous Feedback via Personalization and Preference Aggregation

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-07T14:31:05.229990Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a3775ccd-ef83-4694-be14-831abd0f9ccf · inbound

Distortion of AI Alignment: Does Preference Optimization Optimize for Preferences? cites this paper.

Distortion of AI Alignment: Does Preference Optimization Optimize for Preferences? RLHF from Heterogeneous Feedback via Personalization and Preference Aggregation

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-07T12:49:09.533133Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 88259934-527d-46dc-b40b-0a6c150812d2 · inbound

Theoretical Tensions in RLHF: Reconciling Empirical Success with Inconsistencies in Social Choice Theory cites this paper.

Theoretical Tensions in RLHF: Reconciling Empirical Success with Inconsistencies in Social Choice Theory RLHF from Heterogeneous Feedback via Personalization and Preference Aggregation

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T01:04:31.735488Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 14f7efb8-29bc-47d7-8750-2cda7b46eed0 · inbound

Uncertainty Quantification for Ranking with Heterogeneous Preferences cites this paper.

Uncertainty Quantification for Ranking with Heterogeneous Preferences RLHF from Heterogeneous Feedback via Personalization and Preference Aggregation

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-05T12:13:14.351163Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 239942ba-700d-42ff-ba00-a3e876b9be0d · inbound

T-POP: Test-Time Personalization with Online Preference Feedback cites this paper.

T-POP: Test-Time Personalization with Online Preference Feedback RLHF from Heterogeneous Feedback via Personalization and Preference Aggregation

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-04T13:52:12.190762Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fae086ed-9e72-481f-b3f7-ab60576aacda · inbound

Collaborative and Efficient Fine-tuning: Leveraging Task Similarity cites this paper.

Collaborative and Efficient Fine-tuning: Leveraging Task Similarity RLHF from Heterogeneous Feedback via Personalization and Preference Aggregation

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-03T03:49:40.071442Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b952dc43-dab5-4a02-ba32-3f648395960e · inbound

Context Engineering: A Practitioner Methodology for Structured Human-AI Collaboration cites this paper.

Context Engineering: A Practitioner Methodology for Structured Human-AI Collaboration RLHF from Heterogeneous Feedback via Personalization and Preference Aggregation

Reference 5

Resolution: unresolved; no resolver link, observed 2026-07-13T10:27:28.560210Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7e3424c1-875a-4fa4-8a9c-49bc081ee610 · inbound

Curated Synthetic Data Doesn't Have to Collapse: A Theoretical Study of Generative Retraining with Pluralistic Preferences cites this paper.

Curated Synthetic Data Doesn't Have to Collapse: A Theoretical Study of Generative Retraining with Pluralistic Preferences RLHF from Heterogeneous Feedback via Personalization and Preference Aggregation

Reference 117

Resolution: verified exact; arxiv_id, observed 2026-05-11T02:30:54.490353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 9aa0016b-0d44-44a2-b1bb-81773a671c81 · inbound

Curated Synthetic Data Doesn't Have to Collapse: A Theoretical Study of Generative Retraining with Pluralistic Preferences cites this paper.

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-07-01T13:35:45.953490Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 6c2f6044-ea51-484e-b2e7-792df8212b65 · inbound

In-Context Reward Adaptation for Robust Preference Modeling cites this paper.

In-Context Reward Adaptation for Robust Preference Modeling RLHF from Heterogeneous Feedback via Personalization and Preference Aggregation

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-06-29T08:23:15.196063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation f6755436-d58a-473e-bcd9-f504a92a7e35 · inbound

Inverse Reinforcement Learning without an Optimal Demonstrator: A Feasible Reward Set Approach cites this paper.

Inverse Reinforcement Learning without an Optimal Demonstrator: A Feasible Reward Set Approach RLHF from Heterogeneous Feedback via Personalization and Preference Aggregation

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-06-29T00:02:49.757731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 6798f687-da7b-45f6-9998-02404fd32324 · inbound

PAFO: Pareto Fairness Optimization for Personalized Reward Modeling cites this paper.

PAFO: Pareto Fairness Optimization for Personalized Reward Modeling RLHF from Heterogeneous Feedback via Personalization and Preference Aggregation

Reference 38

Resolution: verified exact; arxiv_id, observed 2026-07-02T20:57:23.632083Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 93c26ac0-237b-4446-9be5-d9e50eaf5f3d · inbound

Hidden Consensus:Preference-Validity Compression in Human Feedback cites this paper.

Hidden Consensus:Preference-Validity Compression in Human Feedback RLHF from Heterogeneous Feedback via Personalization and Preference Aggregation

Reference 2

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T05:07:39.038708Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation ccad351d-7b56-4eb5-8122-4fc3ec027d10 · inbound

CoPersona: Collaborative Persona Graphs for Robust LLM Personalization cites this paper.

CoPersona: Collaborative Persona Graphs for Robust LLM Personalization RLHF from Heterogeneous Feedback via Personalization and Preference Aggregation

Reference 42

Resolution: verified exact; arxiv_id, observed 2026-07-03T18:28:48.420560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 7d7103a2-8431-4882-8504-9b91fd8f6d1e · inbound

Training with (Swap) Regret Loss in a Single-Layer Self-Attention Model: A Case Study on the Probability Simplex cites this paper.

Training with (Swap) Regret Loss in a Single-Layer Self-Attention Model: A Case Study on the Probability Simplex RLHF from Heterogeneous Feedback via Personalization and Preference Aggregation

Reference 83

Resolution: unresolved; no resolver link, observed 2026-07-31T23:51:56.233532Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.