Paper Citation Record · LEDGER

LoRe: Personalizing LLMs via Low-Rank Reward Modeling

As of 21 August 2026, this Paper Citation Record lists 49 of 49 outbound references and 7 inbound Pith citation observations for arXiv:2504.14439.

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

pith.paper-citation-record.v1
2504.14439 v1

Coverage vector

measured 49 of 49 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:54:06.092545Z

measured 56 of 56 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T23:03:37.442512Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T20:57:23.584256Z

Reference resolution

49 of 49 outbound references displayed

verified exact0
verified fuzzy9
unresolved40
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ecf0a54b-fd87-4174-92b9-a35be6c03888 · outbound

This paper cites write newline.

LoRe: Personalizing LLMs via Low-Rank Reward Modeling write newline

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-16T11:54:05.763953Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d399bfb9-26bd-47a1-bffc-0a0f0140d786 · outbound

This paper cites GPT-4 Technical Report.

LoRe: Personalizing LLMs via Low-Rank Reward Modeling GPT-4 Technical Report

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-16T11:54:05.768989Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e9105295-c371-4a3f-b679-62062fe2e96d · outbound

This paper cites Flambe: Structural complexity and representation learning of low rank mdps.

LoRe: Personalizing LLMs via Low-Rank Reward Modeling Flambe: Structural complexity and representation learning of low rank mdps

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:54:06.661267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 73b1d9de-15c3-4d27-b973-0b783d1c941d · outbound

This paper cites Constitutional AI: Harmlessness from AI Feedback.

LoRe: Personalizing LLMs via Low-Rank Reward Modeling Constitutional AI: Harmlessness from AI Feedback

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-16T11:54:05.902914Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6a072a21-c696-4576-b5e2-2eba6fa53f40 · outbound

This paper cites Fine-tuning language models to find agreement among humans with diverse preferences.

LoRe: Personalizing LLMs via Low-Rank Reward Modeling Fine-tuning language models to find agreement among humans with diverse preferences

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:54:06.648936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 4b684668-6050-433d-9d0f-39696fea3082 · outbound

This paper cites Initializing services in interactive ml systems for diverse users.

LoRe: Personalizing LLMs via Low-Rank Reward Modeling Initializing services in interactive ml systems for diverse users

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:54:06.635930Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 4a0a655c-2dc4-414f-9518-5b358487efb0 · outbound

This paper cites Offline Multi-task Transfer RL with Representational Penalization.

LoRe: Personalizing LLMs via Low-Rank Reward Modeling Offline Multi-task Transfer RL with Representational Penalization

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-16T11:54:05.915699Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0fcf749b-26c5-4c0f-9315-7ee6921fc679 · outbound

This paper cites Rank analysis of incomplete block designs: I.

LoRe: Personalizing LLMs via Low-Rank Reward Modeling Rank analysis of incomplete block designs: I

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-16T11:54:05.919873Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2546c224-e0dd-4536-82a1-34fac97c789c · outbound

This paper cites PERSONA: A Reproducible Testbed for Pluralistic Alignment.

LoRe: Personalizing LLMs via Low-Rank Reward Modeling PERSONA: A Reproducible Testbed for Pluralistic Alignment

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-16T11:54:05.923970Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 272ed6ce-6d50-4c36-84ba-5d039cab456e · outbound

This paper cites PAL: Pluralistic Alignment Framework for Learning from Heterogeneous Preferences.

LoRe: Personalizing LLMs via Low-Rank Reward Modeling PAL: Pluralistic Alignment Framework for Learning from Heterogeneous Preferences

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-16T11:54:05.928113Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 29c1425a-709c-4f17-902c-3461825f61b2 · outbound

This paper cites PAD: Personalized Alignment of LLMs at Decoding-Time.

LoRe: Personalizing LLMs via Low-Rank Reward Modeling PAD: Personalized Alignment of LLMs at Decoding-Time

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-16T11:54:05.932033Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 07f6830c-107b-4507-afb7-e34a156802b7 · outbound

This paper cites Deep reinforcement learning from human preferences.

LoRe: Personalizing LLMs via Low-Rank Reward Modeling Deep reinforcement learning from human preferences

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-16T11:54:05.936526Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2a2d977d-04bc-4635-a84d-727dbd7d72ff · outbound

This paper cites Can LLM be a Personalized Judge?.

LoRe: Personalizing LLMs via Low-Rank Reward Modeling Can LLM be a Personalized Judge?

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-16T11:54:05.940185Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4158e063-c351-437c-8ff1-ba7c81a359db · outbound

This paper cites Towards Measuring the Representation of Subjective Global Opinions in Language Models.

LoRe: Personalizing LLMs via Low-Rank Reward Modeling Towards Measuring the Representation of Subjective Global Opinions in Language Models

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-16T11:54:05.944198Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8c783997-b118-4c07-92a1-28f4c42c5747 · outbound

This paper cites Value Augmented Sampling for Language Model Alignment and Personalization.

LoRe: Personalizing LLMs via Low-Rank Reward Modeling Value Augmented Sampling for Language Model Alignment and Personalization

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-16T11:54:05.948101Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 12e45069-22f4-4e29-87e3-ae74d91a6009 · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

LoRe: Personalizing LLMs via Low-Rank Reward Modeling LoRA: Low-Rank Adaptation of Large Language Models

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-16T11:54:05.952191Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 177894a9-0402-4fd6-b48d-aafc74e811a1 · outbound

This paper cites Personalized Soups: Personalized Large Language Model Alignment via Post-hoc Parameter Merging.

LoRe: Personalizing LLMs via Low-Rank Reward Modeling Personalized Soups: Personalized Large Language Model Alignment via Post-hoc Parameter Merging

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-16T11:54:05.955995Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b329dfcb-eaf8-41be-be61-49db1bf9d1e3 · outbound

This paper cites Evaluating and inducing personality in pre-trained language models.

LoRe: Personalizing LLMs via Low-Rank Reward Modeling Evaluating and inducing personality in pre-trained language models

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:54:06.608234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 335a34c4-273e-4efb-b9e9-0006750a9b4b · outbound

This paper cites Adam: A Method for Stochastic Optimization.

LoRe: Personalizing LLMs via Low-Rank Reward Modeling Adam: A Method for Stochastic Optimization

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-16T11:54:05.964109Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1a4ad103-f726-4f08-ad07-a6cca18d0967 · outbound

This paper cites The benefits, risks and bounds of personalizing the alignment of large language models to individuals.

LoRe: Personalizing LLMs via Low-Rank Reward Modeling The benefits, risks and bounds of personalizing the alignment of large language models to individuals

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:54:06.595785Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 93b7d558-ade3-418f-9336-d19af72f863d · outbound

This paper cites The PRISM Alignment Dataset: What Participatory, Representative and Individualised Human Feedback Reveals About the Subjective and Multicultural Alignment of Large Language Models.

LoRe: Personalizing LLMs via Low-Rank Reward Modeling The PRISM Alignment Dataset: What Participatory, Representative and Individualised Human Feedback Reveals About the Subjective and Multicultural Alignment of Large Language Models

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-16T11:54:05.971855Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 68ab15d1-13d9-4bc3-ac34-0951fa252e90 · outbound

This paper cites Matrix factorization techniques for recommender systems.

LoRe: Personalizing LLMs via Low-Rank Reward Modeling Matrix factorization techniques for recommender systems

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-16T11:54:05.977122Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8377d5c3-a141-483a-9804-041723d24820 · outbound

This paper cites Evaluating Cultural Adaptability of a Large Language Model via Simulation of Synthetic Personas.

LoRe: Personalizing LLMs via Low-Rank Reward Modeling Evaluating Cultural Adaptability of a Large Language Model via Simulation of Synthetic Personas

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-16T11:54:05.981112Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d6a0b2b9-bfde-4af9-983b-d7eb48007b6e · outbound

This paper cites Test-Time Alignment via Hypothesis Reweighting.

LoRe: Personalizing LLMs via Low-Rank Reward Modeling Test-Time Alignment via Hypothesis Reweighting

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-16T11:54:05.985098Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1aa47a59-427c-4e67-ad8b-f266a9a67c87 · outbound

This paper cites Personalized Language Modeling from Personalized Human Feedback.

LoRe: Personalizing LLMs via Low-Rank Reward Modeling Personalized Language Modeling from Personalized Human Feedback

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-16T11:54:05.989386Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 184c3746-fa6f-4ca7-b058-57e033fe3adc · outbound

This paper cites Skywork-Reward: Bag of Tricks for Reward Modeling in LLMs.

LoRe: Personalizing LLMs via Low-Rank Reward Modeling Skywork-Reward: Bag of Tricks for Reward Modeling in LLMs

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-16T11:54:05.993546Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2d0161a1-d6b8-4999-830b-4e912285901c · outbound

This paper cites Individualized rank aggregation using nuclear norm regularization.

LoRe: Personalizing LLMs via Low-Rank Reward Modeling Individualized rank aggregation using nuclear norm regularization

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:54:06.575466Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation abb3ef21-f5da-4df4-96fa-eb2f2090f8e1 · outbound

This paper cites Virtual Personas for Language Models via an Anthology of Backstories.

LoRe: Personalizing LLMs via Low-Rank Reward Modeling Virtual Personas for Language Models via an Anthology of Backstories

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-16T11:54:06.001443Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f3549ba9-2fb4-4104-b393-5bf2e3269153 · outbound

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

LoRe: Personalizing LLMs via Low-Rank Reward Modeling Training language models to follow instructions with human feedback

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-16T11:54:06.007535Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 425c773c-24a3-440b-80cf-e1d5f7f19165 · outbound

This paper cites Llm evaluators recognize and favor their own generations.

LoRe: Personalizing LLMs via Low-Rank Reward Modeling Llm evaluators recognize and favor their own generations

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:54:06.555123Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation b345a217-bffd-45a1-8d34-4d25666272f4 · outbound

This paper cites Preference completion: Large-scale collaborative ranking from pairwise comparisons.

LoRe: Personalizing LLMs via Low-Rank Reward Modeling Preference completion: Large-scale collaborative ranking from pairwise comparisons

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:54:06.535919Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 77042ddd-8aaf-49e0-96ce-7b22889c7c44 · outbound

This paper cites Personalizing Reinforcement Learning from Human Feedback with Variational Preference Learning.

LoRe: Personalizing LLMs via Low-Rank Reward Modeling Personalizing Reinforcement Learning from Human Feedback with Variational Preference Learning

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-16T11:54:06.022123Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c395793e-182f-4d4e-a0d2-f44fcb5d711c · outbound

This paper cites Direct preference optimization: Your language model is secretly a reward model.

LoRe: Personalizing LLMs via Low-Rank Reward Modeling Direct preference optimization: Your language model is secretly a reward model

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-16T11:54:06.026124Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5133b998-d4c5-4c5a-9f66-d281e024b579 · outbound

This paper cites Rewarded soups: towards pareto-optimal alignment by interpolating weights fine-tuned on diverse rewards.

LoRe: Personalizing LLMs via Low-Rank Reward Modeling Rewarded soups: towards pareto-optimal alignment by interpolating weights fine-tuned on diverse rewards

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-16T11:54:06.029797Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 48eddf9c-1cc5-43bc-aebc-155e6341d9c4 · outbound

This paper cites Personality traits in large language models.

LoRe: Personalizing LLMs via Low-Rank Reward Modeling Personality traits in large language models

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:54:06.508869Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation bdd2785c-06b1-401a-9e49-ddc3613e496e · outbound

This paper cites Aligning Language Models with Demonstrated Feedback.

LoRe: Personalizing LLMs via Low-Rank Reward Modeling Aligning Language Models with Demonstrated Feedback

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-16T11:54:06.037210Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a18016d9-115a-49ed-92ec-fac52e27ea8b · outbound

This paper cites Decoding-Time Language Model Alignment with Multiple Objectives.

LoRe: Personalizing LLMs via Low-Rank Reward Modeling Decoding-Time Language Model Alignment with Multiple Objectives

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-16T11:54:06.041205Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b2ee5bd2-3e0a-464b-bf55-98169421c3b9 · outbound

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

LoRe: Personalizing LLMs via Low-Rank Reward Modeling FSPO: Few-Shot Optimization of Synthetic Preferences Personalizes to Real Users

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-16T11:54:06.045704Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9deda73d-a1ad-4809-9739-c4f638485e67 · outbound

This paper cites A Roadmap to Pluralistic Alignment.

LoRe: Personalizing LLMs via Low-Rank Reward Modeling A Roadmap to Pluralistic Alignment

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-16T11:54:06.049818Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 55330826-cfa2-4c37-b4a1-f01887116134 · outbound

This paper cites Learning to summarize with human feedback.

LoRe: Personalizing LLMs via Low-Rank Reward Modeling Learning to summarize with human feedback

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-16T11:54:06.053836Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9df6f9b7-735c-41da-9f6d-223ad81b8861 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

LoRe: Personalizing LLMs via Low-Rank Reward Modeling LLaMA: Open and Efficient Foundation Language Models

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-16T11:54:06.059040Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 87d360a2-0c1b-4601-8fdd-e8a7c92f2419 · outbound

This paper cites Interpretable Preferences via Multi-Objective Reward Modeling and Mixture-of-Experts.

LoRe: Personalizing LLMs via Low-Rank Reward Modeling Interpretable Preferences via Multi-Objective Reward Modeling and Mixture-of-Experts

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-16T11:54:06.063698Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2ec9883b-f703-4de7-8738-d1dab63c1356 · outbound

This paper cites Personalized Large Language Models.

LoRe: Personalizing LLMs via Low-Rank Reward Modeling Personalized Large Language Models

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-16T11:54:06.067641Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e8333ac3-9a37-4bda-9dea-f977ff39a6ff · outbound

This paper cites Fine-grained human feedback gives better rewards for language model training.

LoRe: Personalizing LLMs via Low-Rank Reward Modeling Fine-grained human feedback gives better rewards for language model training

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-16T11:54:06.071717Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a3ef44be-5a1f-4b90-b46c-6a02a921506b · outbound

This paper cites Group Preference Optimization: Few-Shot Alignment of Large Language Models.

LoRe: Personalizing LLMs via Low-Rank Reward Modeling Group Preference Optimization: Few-Shot Alignment of Large Language Models

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-16T11:54:06.075505Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3e0f880f-7f83-43c9-b6a0-7e51c2b5d8d5 · outbound

This paper cites Beyond One-Preference-Fits-All Alignment: Multi-Objective Direct Preference Optimization.

LoRe: Personalizing LLMs via Low-Rank Reward Modeling Beyond One-Preference-Fits-All Alignment: Multi-Objective Direct Preference Optimization

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-16T11:54:06.079666Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2a92bf4e-2c36-4cea-83a9-2b220a95fcdc · outbound

This paper cites Personality Alignment of Large Language Models.

LoRe: Personalizing LLMs via Low-Rank Reward Modeling Personality Alignment of Large Language Models

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-16T11:54:06.084084Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4ac1b61b-3fde-401d-966f-f361b7bee87b · outbound

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

LoRe: Personalizing LLMs via Low-Rank Reward Modeling Fine-Tuning Language Models from Human Preferences

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-16T11:54:06.088353Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9e095462-30f9-4058-aa0f-73cd05767539 · outbound

This paper cites PersonalLLM: Tailoring LLMs to Individual Preferences.

LoRe: Personalizing LLMs via Low-Rank Reward Modeling PersonalLLM: Tailoring LLMs to Individual Preferences

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-16T11:54:06.092545Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation a903f797-26e0-48dc-b27f-1e35298c32d9 · inbound

A Personalized Conversational Benchmark: Towards Simulating Personalized Conversations cites this paper.

A Personalized Conversational Benchmark: Towards Simulating Personalized Conversations LoRe: Personalizing LLMs via Low-Rank Reward Modeling

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T15:43:19.367275Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ea4d2761-f2f0-4393-b499-bf9afbc11de8 · inbound

Preference Learning for AI Alignment: a Causal Perspective cites this paper.

Preference Learning for AI Alignment: a Causal Perspective LoRe: Personalizing LLMs via Low-Rank Reward Modeling

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-19T11:22:16.435571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 1c4b4c45-1162-4a68-aaa7-3627c71f13cc · inbound

POPI: Personalizing LLMs via Optimized Natural Language Preference Inference cites this paper.

POPI: Personalizing LLMs via Optimized Natural Language Preference Inference LoRe: Personalizing LLMs via Low-Rank Reward Modeling

Reference 5

Resolution: metadata mismatch; arxiv_id, observed 2026-05-18T05:42:24.423865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation aa7e733a-bcb4-4678-b3b2-871a213e889e · inbound

LLM Evaluation as Tensor Completion: Low Rank Structure and Semiparametric Efficiency cites this paper.

LLM Evaluation as Tensor Completion: Low Rank Structure and Semiparametric Efficiency LoRe: Personalizing LLMs via Low-Rank Reward Modeling

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-10T22:40:49.004582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation c59bf9d7-60d2-4694-bb6c-789bb9dc1565 · inbound

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

Beyond Isolated Behaviors: Hierarchical User Modeling for LLM Personalization LoRe: Personalizing LLMs via Low-Rank Reward Modeling

Reference 33

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T22:56:20.615111Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e83153ec-6383-49ae-9ca9-d9a4c4ab2921 · inbound

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

PAFO: Pareto Fairness Optimization for Personalized Reward Modeling LoRe: Personalizing LLMs via Low-Rank Reward Modeling

Reference 30

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T20:57:23.586152Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 78095518-2691-4c04-936b-dde539db32b6 · inbound

Cautious Context Steering for Language Model Personalization cites this paper.

Cautious Context Steering for Language Model Personalization LoRe: Personalizing LLMs via Low-Rank Reward Modeling

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