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Paper Citation Record · LEDGER

Tuning-Free Personalized Alignment via Trial-Error-Explain In-Context Learning

As of 9 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 0 inbound Pith citation observations for arXiv:2502.08972.

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

pith.paper-citation-record.v1
2502.08972 v3

Coverage vector

measured 14 of 14 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T23:07:40.923831Z

measured 14 of 14 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

14 of 14 outbound references displayed

  • verified exact0
  • verified fuzzy4
  • unresolved9
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 641b8ece-4aaa-4b02-b6fc-c8e914a036e0 · outbound

This paper cites In Findings of the Association for Computational Linguistics: EMNLP 2024, pages 13376–13390, Miami, Florida, USA.

Tuning-Free Personalized Alignment via Trial-Error-Explain In-Context Learning In Findings of the Association for Computational Linguistics: EMNLP 2024, pages 13376–13390, Miami, Florida, USA

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T23:07:41.264693Z

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=2026-08-07T23:07:40.840237Z digest=sha256:a7ea9deb96cb9779d6fe9143526e015022be6f5db76a80df3ad31c60e698bf4e

Observation e2d2df39-5190-4f31-b5d5-d15fbc146669 · outbound

This paper cites In The Twelfth Inter- national Conference on Learning Representations.

Tuning-Free Personalized Alignment via Trial-Error-Explain In-Context Learning In The Twelfth Inter- national Conference on Learning Representations

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T23:07:41.247323Z

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=2026-08-07T23:07:40.855008Z digest=sha256:cccf88f4db4876fbb44991264d26d91d1660df12c87e290723b049e2813f7ce6

Observation c4a79962-530d-4219-8c44-4d70c4f4262e · outbound

This paper cites Woosuk Kwon, Zhuohan Li, Siyuan Zhuang, Ying Sheng, Lianmin Zheng, Cody Hao Yu, Joseph E.

Tuning-Free Personalized Alignment via Trial-Error-Explain In-Context Learning Woosuk Kwon, Zhuohan Li, Siyuan Zhuang, Ying Sheng, Lianmin Zheng, Cody Hao Yu, Joseph E

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T23:07:41.230553Z

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=2026-08-07T23:07:40.861237Z digest=sha256:5c1b5e1eca6a7894fd34f1c3728d7c6e498280ac03baa592adc015ab51a63ae3

Observation 47f23677-47d1-4924-8b29-dc910f864c3a · outbound

This paper cites RLAIF vs. RLHF: Scaling Reinforcement Learning from Human Feedback with AI Feedback.

Tuning-Free Personalized Alignment via Trial-Error-Explain In-Context Learning RLAIF vs. RLHF: Scaling Reinforcement Learning from Human Feedback with AI Feedback

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-07T23:07:40.868032Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T23:07:40.868032Z digest=sha256:22a50305a9cbaa8221fb65fedba95c1b7da6ace42c7e0311cdcd0f9bf20977cd

Observation d284903a-5020-442a-aff8-315d4f529b1d · outbound

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

Tuning-Free Personalized Alignment via Trial-Error-Explain In-Context Learning LaMP: When Large Language Models Meet Personalization

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-07T23:07:40.889831Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T23:07:40.889831Z digest=sha256:dce7700a891472aba9cf24380887ae11f21385835ad338a8f59e1479470db41f

Observation a5a27234-2aa8-4424-9b2b-63e87c5dacf5 · outbound

This paper cites In Pro- ceedings of the 7th Workshop on Representation Learning for NLP, pages 249–268, Dublin, Ireland.

Tuning-Free Personalized Alignment via Trial-Error-Explain In-Context Learning In Pro- ceedings of the 7th Workshop on Representation Learning for NLP, pages 249–268, Dublin, Ireland

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T23:07:41.204902Z

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=2026-08-07T23:07:40.903708Z digest=sha256:ffa8ea9fb967ae2fdf60eeed501221ef91ff02816b00dea4fbbafa84c3787032

Observation ed0e6c6b-cf02-4142-b7ae-c2261268d6f7 · outbound

This paper cites TextGrad: Automatic "Differentiation" via Text.

Tuning-Free Personalized Alignment via Trial-Error-Explain In-Context Learning TextGrad: Automatic "Differentiation" via Text

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-07T23:07:40.911008Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T23:07:40.911008Z digest=sha256:f3da3e2840e2b863f922da03e59df5bb5f4fa287e6ad4177ec84278bd2e5234b

Observation 01d35325-085b-4855-86a2-76a52588ddae · outbound

This paper cites Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena.

Tuning-Free Personalized Alignment via Trial-Error-Explain In-Context Learning Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-07T23:07:40.918048Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T23:07:40.918048Z digest=sha256:a36bee4086c4b8073ee67cc77d7f9a149ef2ab5023bf70d728aba3930ad07a94

Observation 72cd689f-68b9-4794-961b-b312ee44c94b · outbound

This paper cites Write a news article that starts with the following sentence : article’s first sentence.

Tuning-Free Personalized Alignment via Trial-Error-Explain In-Context Learning Write a news article that starts with the following sentence : article’s first sentence

Reference 14

Resolution
malformed identifier
raw_fallback, observed 2026-08-07T23:07:41.180323Z

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=2026-08-07T23:07:40.923831Z digest=sha256:b839550e5268cc31039eaf51cc764a9c997a409dbee21a46ba9f450e2cbdd2cc

Observation d46fd773-45ce-4497-b615-0a092f0d0b14 · outbound

This paper cites Rationale-Augmented Ensembles in Language Models.

Tuning-Free Personalized Alignment via Trial-Error-Explain In-Context Learning Rationale-Augmented Ensembles in Language Models

Reference 908

Resolution
unresolved
no resolver link, observed 2026-08-07T23:07:40.896770Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T23:07:40.896770Z digest=sha256:d224bc1f27512ff4c34c39644269faa6a7242dc7c999e5037f46f3010d06e78f

Observation 737765d3-0cbe-4f4f-a32c-327d523195ed · outbound

This paper cites Pearl: Personalizing Large Language Model Writing Assistants with Generation-Calibrated Retrievers.

Tuning-Free Personalized Alignment via Trial-Error-Explain In-Context Learning Pearl: Personalizing Large Language Model Writing Assistants with Generation-Calibrated Retrievers

Reference 2008

Resolution
unresolved
no resolver link, observed 2026-08-07T23:07:40.874811Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T23:07:40.874811Z digest=sha256:b5edf99c10caafe5cf9cbef4432e807375ab1a20b858142487772e76e30946c3

Observation b18839db-bf4e-4029-b66f-17873f25cda7 · outbound

This paper cites You Are What You Write: Preserving Privacy in the Era of Large Language Models.

Tuning-Free Personalized Alignment via Trial-Error-Explain In-Context Learning You Are What You Write: Preserving Privacy in the Era of Large Language Models

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-07T23:07:40.882804Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T23:07:40.882804Z digest=sha256:75ff0c166f3174b145899e76ef7369191857bebf8b0890083272985496d8d56a

Observation 679285f3-0603-4d59-a4c8-1b392630a1cc · outbound

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

Tuning-Free Personalized Alignment via Trial-Error-Explain In-Context Learning Personalized Soups: Personalized Large Language Model Alignment via Post-hoc Parameter Merging

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-07T23:07:40.848965Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T23:07:40.848965Z digest=sha256:9c279314ca44243e57ab6472359f49a73537656cfc3b476b85ba5a964a91359f

Observation 19e70be1-28df-4a21-a010-186b044c5d8c · outbound

This paper cites Reinforced Self-Training (ReST) for Language Modeling.

Tuning-Free Personalized Alignment via Trial-Error-Explain In-Context Learning Reinforced Self-Training (ReST) for Language Modeling

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-07T23:07:40.833548Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T23:07:40.833548Z digest=sha256:ad4d2507d29bc970f8ebb96c6f47f70dda1d7a1166a81d2bedbdbc22622738ba

Pith citing papers

No inbound Pith citation observations are available.