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Paper Citation Record · LEDGER

Personalizing Reinforcement Learning from Human Feedback with Variational Preference Learning

As of 8 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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-23T06:55:54.051821Z digest=sha256:747944b3e5b983c687fcc1146bf7d35da4045b6b80f8dae58b856422cc0f61d7

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.

source=pdf_text observed=2026-08-07T14:39:52.380908Z digest=sha256:2c2f3bf02e7221b67f6aecb11dbe4f82522bc1f2823435e2064a7c2b2c89670d

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.

source=arxiv_source observed=2026-08-07T04:08:23.797237Z digest=sha256:fb806da3c2ded3c41af20bd9d95f3f1f1b18be7b74fb6191fa0dbc28d1d83c9d

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.

source=pdf_text observed=2026-08-05T21:10:41.840114Z digest=sha256:a856386cca69cfeddafc4616d930b37b92d6d1c96e80fa344ab2a5a3cd3b4626

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.

source=arxiv_source observed=2026-08-05T10:54:12.137540Z digest=sha256:ceb6d1d72884ff06def43dbde4d871bc6f20fd8c767a03967913bddeab2e1ab1

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.

source=pdf_text observed=2026-08-03T06:00:31.291700Z digest=sha256:251b1810a9504484f6b6c23639ee5a9c905174c7ea0c3b45e7ab4225377172ab

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-10T16:52:34.799158Z digest=sha256:cfb51f972edbd1c2bfcd89008cbf1956915cbba8559601aaf96153ca372b8eee

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-28T23:21:35.338959Z digest=sha256:ed3dd72b0d55cfc68690fd9c8dbb87a5224222e117c570d91ae16924f3b3e69f

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-28T14:51:27.110839Z digest=sha256:56ab02f3b8907642a5a2c3f6b60c2110cebf63ceb6c9d98a0636f170ed29fef0

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-27T01:03:49.101568Z digest=sha256:de8d1363ae83ccd56c5d96aa88aa541578293fbc491b9fcb4e399044e2b739c8

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.

source=arxiv_source observed=2026-08-04T01:06:55.741495Z digest=sha256:925b613d313b608c8ebd6c5aecb1b27af95e2b7ca1e65af521be979ef1f000f0