Paper Citation Record · LEDGER

Aligning LLMs by Predicting Preferences from User Writing Samples

As of 20 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 1 inbound Pith citation observation for arXiv:2505.23815.

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

pith.paper-citation-record.v1
2505.23815 v1

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:30:24.218058Z

measured 37 of 37 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T04:18:06.724740Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-14T04:18:08.604862Z

Reference resolution

36 of 36 outbound references displayed

verified exact1
verified fuzzy8
unresolved26
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 013d5bf4-c53b-4a2f-bade-6c469d129d7d · outbound

This paper cites write newline.

Aligning LLMs by Predicting Preferences from User Writing Samples write newline

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T13:30:21.034846Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d151dc49-3c8a-4e2c-a883-db23cae26983 · outbound

This paper cites PROST : P hysical reasoning about objects through space and time.

Aligning LLMs by Predicting Preferences from User Writing Samples PROST : P hysical reasoning about objects through space and time

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T13:30:21.154748Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 68975d56-02c7-4bd0-aea9-89810a207976 · outbound

This paper cites an unresolved cited work.

Aligning LLMs by Predicting Preferences from User Writing Samples Unresolved cited work

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T13:30:21.244785Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation abd8ac26-0c19-42aa-8887-82c36425652b · outbound

This paper cites Art or artifice? large language models and the false promise of creativity.

Aligning LLMs by Predicting Preferences from User Writing Samples Art or artifice? large language models and the false promise of creativity

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:30:29.030572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 4533792d-5434-4edd-9ed2-7dc4c277ae66 · outbound

This paper cites Aligning LLM Agents by Learning Latent Preference from User Edits.

Aligning LLMs by Predicting Preferences from User Writing Samples Aligning LLM Agents by Learning Latent Preference from User Edits

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T13:30:21.434743Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9d244e8c-8260-46b4-95ae-3b7164cb2962 · outbound

This paper cites an unresolved cited work.

Aligning LLMs by Predicting Preferences from User Writing Samples Unresolved cited work

Reference 6

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:30:28.892016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 35335f18-4f8a-4071-8230-cadff30d80c1 · outbound

This paper cites Inference-time intervention: Eliciting truthful answers from a language model.

Aligning LLMs by Predicting Preferences from User Writing Samples Inference-time intervention: Eliciting truthful answers from a language model

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:30:28.782727Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c10bf89f-d525-48b5-8f5b-0b0875d8261d · outbound

This paper cites Prompt Optimization with Human Feedback.

Aligning LLMs by Predicting Preferences from User Writing Samples Prompt Optimization with Human Feedback

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T13:30:21.687814Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fdc6afa4-afa7-48c5-9115-fe6e1fb0f131 · outbound

This paper cites an unresolved cited work.

Aligning LLMs by Predicting Preferences from User Writing Samples Unresolved cited work

Reference 9

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:30:28.679715Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 6cf85125-6bc7-47ca-962d-b07785e76b5a · outbound

This paper cites Llm-powered hierarchical language agent for real-time human-ai coordination.

Aligning LLMs by Predicting Preferences from User Writing Samples Llm-powered hierarchical language agent for real-time human-ai coordination

Reference 10

Resolution: metadata mismatch; raw_fallback, observed 2026-08-07T13:30:25.904762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 39dc3f3c-40ec-498e-9178-81be1f084ad6 · outbound

This paper cites GPT-4 Technical Report.

Aligning LLMs by Predicting Preferences from User Writing Samples GPT-4 Technical Report

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T13:30:22.045668Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9d952153-77d8-4ce8-95f2-217def04825b · outbound

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

Aligning LLMs by Predicting Preferences from User Writing Samples Training language models to follow instructions with human feedback

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T13:30:22.158182Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c0396970-80b8-4bcd-93cf-444f3c36a46c · outbound

This paper cites Z., Sumers, T.

Aligning LLMs by Predicting Preferences from User Writing Samples Z., Sumers, T

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:30:28.534367Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 7af9e6cc-2b41-4b39-bb56-5b36027e040a · outbound

This paper cites and Hruschka, E.

Aligning LLMs by Predicting Preferences from User Writing Samples and Hruschka, E

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T13:30:22.287941Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 10a1c055-94c4-474f-8fbf-51a2843b67a3 · outbound

This paper cites Language models are unsupervised multitask learners.

Aligning LLMs by Predicting Preferences from User Writing Samples Language models are unsupervised multitask learners

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T13:30:22.376574Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 301b8453-97ce-4af9-b7cc-e05b67074eea · outbound

This paper cites D., Ermon, S., and Finn, C.

Aligning LLMs by Predicting Preferences from User Writing Samples D., Ermon, S., and Finn, C

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T13:30:22.503063Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 431d7f5a-84a0-4a64-8de0-75affe2d92e4 · outbound

This paper cites LaMP: When Large Language Models Meet Personalization.

Aligning LLMs by Predicting Preferences from User Writing Samples LaMP: When Large Language Models Meet Personalization

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T13:30:22.645052Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 06b77df8-33f8-4cd7-9f65-7892a8689fe3 · outbound

This paper cites Whose opinions do language models reflect? In International Conference on Machine Learning, pp.\ 29971--30004.

Aligning LLMs by Predicting Preferences from User Writing Samples Whose opinions do language models reflect? In International Conference on Machine Learning, pp.\ 29971--30004

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:30:28.125665Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 6a94c13f-caca-4a28-8740-1e285bcad0b0 · outbound

This paper cites Aligning Language Models with Demonstrated Feedback.

Aligning LLMs by Predicting Preferences from User Writing Samples Aligning Language Models with Demonstrated Feedback

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T13:30:22.805705Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 546ccb6e-cca1-47fc-afdb-a3051f30cc15 · outbound

This paper cites an unresolved cited work.

Aligning LLMs by Predicting Preferences from User Writing Samples Unresolved cited work

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T13:30:22.899023Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 03cdc084-2e30-449f-9ab8-c9380064f693 · outbound

This paper cites PMG : Personalized Multimodal Generation with Large Language Models.

Aligning LLMs by Predicting Preferences from User Writing Samples PMG : Personalized Multimodal Generation with Large Language Models

Reference 21

Resolution: verified exact; local_arxiv, observed 2026-08-07T13:30:24.984811Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 668575e3-93c7-4c3b-a0be-401117460d2e · outbound

This paper cites M., Lowe, R., Voss, C., Radford, A., Amodei, D., and Christiano, P.

Aligning LLMs by Predicting Preferences from User Writing Samples M., Lowe, R., Voss, C., Radford, A., Amodei, D., and Christiano, P

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:30:27.855745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation cb612c1d-2226-4570-9657-f550653f3952 · outbound

This paper cites Principle-driven self-alignment of language models from scratch with minimal human supervision.

Aligning LLMs by Predicting Preferences from User Writing Samples Principle-driven self-alignment of language models from scratch with minimal human supervision

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:30:27.474739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 20ffa8c8-64be-45d7-9aab-9fde5c193855 · outbound

This paper cites D., Yang, Y., and Gan, C.

Aligning LLMs by Predicting Preferences from User Writing Samples D., Yang, Y., and Gan, C

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:30:27.194950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 68f80e06-3d45-43a9-b360-e97ce81fa804 · outbound

This paper cites Democratizing Large Language Models via Personalized Parameter-Efficient Fine-tuning.

Aligning LLMs by Predicting Preferences from User Writing Samples Democratizing Large Language Models via Personalized Parameter-Efficient Fine-tuning

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T13:30:23.380941Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b1a8d50d-e3da-46e1-8b9c-aff4224f09ed · outbound

This paper cites Steering Language Models With Activation Engineering.

Aligning LLMs by Predicting Preferences from User Writing Samples Steering Language Models With Activation Engineering

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T13:30:23.460336Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e25facdc-56ba-481a-af1c-2b9d10df184d · outbound

This paper cites Qwen2.5 Technical Report.

Aligning LLMs by Predicting Preferences from User Writing Samples Qwen2.5 Technical Report

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T13:30:23.584750Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0714e5d9-3102-4d17-a6a2-b02ac8245622 · outbound

This paper cites Y., Hartmann, B., and Yang, Q.

Aligning LLMs by Predicting Preferences from User Writing Samples Y., Hartmann, B., and Yang, Q

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:30:26.956302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 28489972-3aec-4062-acb2-540f8b0dcad1 · outbound

This paper cites Q., and Artzi, Y.

Aligning LLMs by Predicting Preferences from User Writing Samples Q., and Artzi, Y

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T13:30:23.754751Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b4c15a79-e315-4e43-92ba-61b6833b7de9 · outbound

This paper cites E., and Stoica, I.

Aligning LLMs by Predicting Preferences from User Writing Samples E., and Stoica, I

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T13:30:23.807838Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1c936125-0d5d-4c7c-ae55-4784b2b0994b · outbound

This paper cites Large Language Models Are Human-Level Prompt Engineers.

Aligning LLMs by Predicting Preferences from User Writing Samples Large Language Models Are Human-Level Prompt Engineers

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T13:30:23.876476Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9a5de857-ba1f-40f6-a0c4-ee416d66231e · outbound

This paper cites HYDRA: Model Factorization Framework for Black-Box LLM Personalization.

Aligning LLMs by Predicting Preferences from User Writing Samples HYDRA: Model Factorization Framework for Black-Box LLM Personalization

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-07T13:30:23.975627Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e437c8c6-8424-4950-97cc-fd3fc54b0e10 · outbound

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

Aligning LLMs by Predicting Preferences from User Writing Samples Fine-Tuning Language Models from Human Preferences

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T13:30:24.009574Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e2b6b2da-0958-4c1d-b2cd-cade2d81ddee · outbound

This paper cites @esa (Ref.

Aligning LLMs by Predicting Preferences from User Writing Samples @esa (Ref

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-07T13:30:24.084746Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b86dbe9c-96c9-4c39-8182-b9d23b67b249 · outbound

This paper cites an unresolved cited work.

Aligning LLMs by Predicting Preferences from User Writing Samples Unresolved cited work

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-07T13:30:24.167968Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3602191d-48be-4126-8e30-4f43296dd175 · outbound

This paper cites an unresolved cited work.

Aligning LLMs by Predicting Preferences from User Writing Samples Unresolved cited work

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-07T13:30:24.218058Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 517e448d-53ec-4278-a7ac-fb773b0f178b · inbound

UserToolBench: A User-Profile-Hidden Benchmark for Personalized Decision Making in Tool-Use LLMs cites this paper.

UserToolBench: A User-Profile-Hidden Benchmark for Personalized Decision Making in Tool-Use LLMs Aligning LLMs by Predicting Preferences from User Writing Samples

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-08-14T04:18:08.623168Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.