Paper Citation Record · LEDGER

Personalizing Reinforcement Learning from Human Feedback with Variational Preference Learning

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2408.10075.

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

pith.paper-citation-record.v1
2408.10075 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:39:52.380908Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T20:58:57.620585Z

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 cb318282-0a32-42fa-b0e6-2834b0a3daba · inbound

Test-Time Alignment via Hypothesis Reweighting cites this paper.

Test-Time Alignment via Hypothesis Reweighting Personalizing Reinforcement Learning from Human Feedback with Variational Preference Learning

Reference 49

Resolution: verified exact; arxiv_id, observed 2026-05-23T06:57:40.526091Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 46fd3c2e-fbc4-4ea4-ae96-ca85e99b6fc1 · inbound

Extended Inductive Reasoning for Personalized Preference Inference from Behavioral Signals cites this paper.

Extended Inductive Reasoning for Personalized Preference Inference from Behavioral Signals Personalizing Reinforcement Learning from Human Feedback with Variational Preference Learning

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-07T14:39:52.380908Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8d1d615b-98dc-469c-a8cf-fc480c450fee · inbound

Configurable Preference Tuning with Rubric-Guided Synthetic Data cites this paper.

Configurable Preference Tuning with Rubric-Guided Synthetic Data Personalizing Reinforcement Learning from Human Feedback with Variational Preference Learning

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T04:08:23.797237Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a9ac34ef-cfd6-43e6-b9fc-2a83d87898d4 · inbound

Affordances of Sketched Notations for Multimodal UI Design and Development Tools cites this paper.

Affordances of Sketched Notations for Multimodal UI Design and Development Tools Personalizing Reinforcement Learning from Human Feedback with Variational Preference Learning

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-05T21:10:41.840114Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 170584b6-cd83-4933-b97a-d3ddcbacea7a · inbound

SharedRep-RLHF: A Shared Representation Approach to RLHF with Diverse Preferences cites this paper.

SharedRep-RLHF: A Shared Representation Approach to RLHF with Diverse Preferences Personalizing Reinforcement Learning from Human Feedback with Variational Preference Learning

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-05T10:54:12.137540Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 32433d29-692a-4ba9-8ed1-d2402c47067e · inbound

CURP: Codebook-based Continuous User Representation for Personalized Generation with LLMs cites this paper.

CURP: Codebook-based Continuous User Representation for Personalized Generation with LLMs Personalizing Reinforcement Learning from Human Feedback with Variational Preference Learning

Reference 2003

Resolution: unresolved; no resolver link, observed 2026-08-03T06:00:31.291700Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 523a3b92-9d22-4554-bfec-28da7f1a675d · inbound

Efficient Personalization of Generative User Interfaces cites this paper.

Efficient Personalization of Generative User Interfaces Personalizing Reinforcement Learning from Human Feedback with Variational Preference Learning

Reference 80

Resolution: verified exact; arxiv_id, observed 2026-05-11T08:00:57.579884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 22b13f78-f74c-4dae-859f-b921d38188f6 · inbound

Federated Variational Preference Alignment with Gumbel-Softmax Prior for Personalized User Preferences cites this paper.

Federated Variational Preference Alignment with Gumbel-Softmax Prior for Personalized User Preferences Personalizing Reinforcement Learning from Human Feedback with Variational Preference Learning

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-06-28T23:22:46.659209Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation fea0eeed-0edb-4c58-b0ae-098c20161292 · inbound

Beyond Isolated Behaviors: Hierarchical User Modeling for LLM Personalization cites this paper.

Beyond Isolated Behaviors: Hierarchical User Modeling for LLM Personalization Personalizing Reinforcement Learning from Human Feedback with Variational Preference Learning

Reference 32

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T22:56:20.612219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ac38de3a-4910-453d-87e6-e49889b16602 · inbound

Using Cognitive Models to Improve Language Model Simulation of Human Persuasion Games cites this paper.

Using Cognitive Models to Improve Language Model Simulation of Human Persuasion Games Personalizing Reinforcement Learning from Human Feedback with Variational Preference Learning

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-07-03T20:58:57.622094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6541a1d8-99be-4956-8599-770a848228d5 · inbound

Personalizing Large Language Model Agents with Small Policy Models cites this paper.

Personalizing Large Language Model Agents with Small Policy Models Personalizing Reinforcement Learning from Human Feedback with Variational Preference Learning

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-04T01:06:55.741495Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.