Paper Citation Record · LEDGER

PrefPalette: Personalized Preference Modeling with Latent Attributes

As of 7 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 3 inbound Pith citation observations for arXiv:2507.13541.

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

pith.paper-citation-record.v1
2507.13541 v1

Coverage vector

measured 19 of 19 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:27:57.303931Z

measured 22 of 22 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T21:04:41.422395Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T09:21:00.230047Z

Reference resolution

19 of 19 outbound references displayed

verified exact1
verified fuzzy1
unresolved16
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6fd957ff-d072-4dac-90b1-72754c4f3c79 · outbound

This paper cites Direct Preference Optimization: Your Language Model is Secretly a Reward Model.

PrefPalette: Personalized Preference Modeling with Latent Attributes Direct Preference Optimization: Your Language Model is Secretly a Reward Model

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T16:27:57.264495Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 04176bd7-bafe-49b1-9912-84703b3f26ec · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

PrefPalette: Personalized Preference Modeling with Latent Attributes Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T16:27:57.291965Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e309b76b-c133-4107-ad35-377004c6953a · outbound

This paper cites Orchestrating LLMs with Different Personalizations.

PrefPalette: Personalized Preference Modeling with Latent Attributes Orchestrating LLMs with Different Personalizations

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T16:27:57.297526Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 19e9797f-daea-47c7-9b06-54446e6250f3 · outbound

This paper cites an unresolved cited work.

PrefPalette: Personalized Preference Modeling with Latent Attributes Unresolved cited work

Reference 19

Resolution: unresolved; raw_fallback, observed 2026-08-06T16:27:57.853630Z

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 81e681ba-1912-40da-ba7b-1d2f75ac1ce6 · outbound

This paper cites Open Problems and Fundamental Limitations of Reinforcement Learning from Human Feedback.

PrefPalette: Personalized Preference Modeling with Latent Attributes Open Problems and Fundamental Limitations of Reinforcement Learning from Human Feedback

Reference 1952

Resolution: unresolved; no resolver link, observed 2026-08-06T16:27:57.204698Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation de2b4a78-5d68-49ed-af32-eaf7a52e73da · outbound

This paper cites Dialogue response ranking training with large-scale human feedback data.

PrefPalette: Personalized Preference Modeling with Latent Attributes Dialogue response ranking training with large-scale human feedback data

Reference 1986

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:27:57.874743Z

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 23626d6c-0e62-4a2d-925c-81aa3c803114 · outbound

This paper cites Balancing the Picture: Debiasing Vision-Language Datasets with Synthetic Contrast Sets.

PrefPalette: Personalized Preference Modeling with Latent Attributes Balancing the Picture: Debiasing Vision-Language Datasets with Synthetic Contrast Sets

Reference 1995

Resolution: unresolved; no resolver link, observed 2026-08-06T16:27:57.284230Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7f98f65a-6e7e-4c93-bdf2-db6feab8c248 · outbound

This paper cites Language (Technology) is Power: A Critical Survey of "Bias" in NLP.

PrefPalette: Personalized Preference Modeling with Latent Attributes Language (Technology) is Power: A Critical Survey of "Bias" in NLP

Reference 1998

Resolution: unresolved; no resolver link, observed 2026-08-06T16:27:57.198848Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ce200617-4a32-4ddd-9be3-cdc7f3131fe7 · outbound

This paper cites Predictive Biases in Natural Language Processing Models: A Conceptual Framework and Overview.

PrefPalette: Personalized Preference Modeling with Latent Attributes Predictive Biases in Natural Language Processing Models: A Conceptual Framework and Overview

Reference 1999

Resolution: unresolved; no resolver link, observed 2026-08-06T16:27:57.272226Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a00e24ce-97d0-4933-b7d5-cd408a718413 · outbound

This paper cites Llama Guard: LLM-based Input-Output Safeguard for Human-AI Conversations.

PrefPalette: Personalized Preference Modeling with Latent Attributes Llama Guard: LLM-based Input-Output Safeguard for Human-AI Conversations

Reference 2003

Resolution: unresolved; no resolver link, observed 2026-08-06T16:27:57.229187Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9447226e-1fec-40d0-973a-9302e2d6e7de · outbound

This paper cites ALFA: Aligning LLMs to Ask Good Questions A Case Study in Clinical Reasoning.

PrefPalette: Personalized Preference Modeling with Latent Attributes ALFA: Aligning LLMs to Ask Good Questions A Case Study in Clinical Reasoning

Reference 2005

Resolution: unresolved; no resolver link, observed 2026-08-06T16:27:57.241256Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 07537b37-3f91-4156-8081-dfd99ef58de5 · outbound

This paper cites Models of human preference for learning reward functions.

PrefPalette: Personalized Preference Modeling with Latent Attributes Models of human preference for learning reward functions

Reference 2011

Resolution: unresolved; no resolver link, observed 2026-08-06T16:27:57.235072Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 761da3b9-cd99-42ed-918c-c17cc26289be · outbound

This paper cites When people are floods: Analyzing dehumanizing metaphors in immigration discourse with large language models.arXiv preprint arXiv:2502.13246,.

PrefPalette: Personalized Preference Modeling with Latent Attributes When people are floods: Analyzing dehumanizing metaphors in immigration discourse with large language models.arXiv preprint arXiv:2502.13246,

Reference 2017

Resolution: unresolved; no resolver link, observed 2026-08-06T16:27:57.247116Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 06ca9ccd-f802-4b34-9be8-974a8b7b3ed1 · outbound

This paper cites Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback.

PrefPalette: Personalized Preference Modeling with Latent Attributes Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-06T16:27:57.192133Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 44da2b0a-1f5e-4c34-b06c-515ded52c849 · outbound

This paper cites FSPO: Few-Shot Optimization of Synthetic Preferences Personalizes to Real Users.

PrefPalette: Personalized Preference Modeling with Latent Attributes FSPO: Few-Shot Optimization of Synthetic Preferences Personalizes to Real Users

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-06T16:27:57.278092Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation baa063f3-05e9-4e48-92f5-6a22062aaefd · outbound

This paper cites Influencing Humans to Conform to Preference Models for RLHF.

PrefPalette: Personalized Preference Modeling with Latent Attributes Influencing Humans to Conform to Preference Models for RLHF

Reference 2020

Resolution: metadata mismatch; local_arxiv, observed 2026-08-06T16:27:57.776658Z

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 fd6ff2dc-da80-4039-af20-2838e2023fe6 · outbound

This paper cites Jon Doyle.

PrefPalette: Personalized Preference Modeling with Latent Attributes Jon Doyle

Reference 2021

Resolution: verified exact; doi, observed 2026-08-06T16:27:57.351859Z

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 15cb2be5-c55b-4384-a49a-354199d1b1d8 · outbound

This paper cites ValueScope: Unveiling Implicit Norms and Values via Return Potential Model of Social Interactions.

PrefPalette: Personalized Preference Modeling with Latent Attributes ValueScope: Unveiling Implicit Norms and Values via Return Potential Model of Social Interactions

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-06T16:27:57.258935Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c6850387-9c37-4c1f-860b-620adf0bfa63 · outbound

This paper cites GPT-4o System Card.

PrefPalette: Personalized Preference Modeling with Latent Attributes GPT-4o System Card

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-06T16:27:57.252933Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 998f0589-2da2-4382-82c8-b940d1827a47 · inbound

Efficient Personalization of Generative User Interfaces cites this paper.

Efficient Personalization of Generative User Interfaces PrefPalette: Personalized Preference Modeling with Latent Attributes

Reference 51

Resolution: verified exact; arxiv_id, observed 2026-05-11T08:00:57.728778Z

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 423370ac-265b-4082-a7ff-3a85f455d3f8 · inbound

PubSwap: Public-Data Off-Policy Coordination for Federated RLVR cites this paper.

PubSwap: Public-Data Off-Policy Coordination for Federated RLVR PrefPalette: Personalized Preference Modeling with Latent Attributes

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-11T09:21:00.232553Z

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 04c52f29-a8fd-4793-b3f7-81206694b631 · inbound

Interactive Task Alignment as a POMDP cites this paper.

Interactive Task Alignment as a POMDP PrefPalette: Personalized Preference Modeling with Latent Attributes

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-01T21:04:41.422395Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.