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Paper Citation Record · LEDGER

HyPerAlign: Interpretable Personalized LLM Alignment via Hypothesis Generation

As of 19 August 2026, this Paper Citation Record lists 76 of 76 outbound references and 4 inbound Pith citation observations for arXiv:2505.00038.

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

pith.paper-citation-record.v1
2505.00038 v2

Coverage vector

measured 76 of 76 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:18:07.242518Z

measured 80 of 80 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:25:08.496563Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-28T19:32:35.359433Z

Reference resolution

76 of 76 outbound references displayed

  • verified exact0
  • verified fuzzy25
  • unresolved50
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a98c2ece-3ca7-449a-a27c-bbcde79be6f2 · outbound

This paper cites https://docs.cohere.com/v2/docs/command-r-plus.

HyPerAlign: Interpretable Personalized LLM Alignment via Hypothesis Generation https://docs.cohere.com/v2/docs/command-r-plus

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:18:08.727615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:18:06.634255Z digest=sha256:8c69b4c139b85c8aeed64268e5f76a19acb6e390e365302bd4d23e668efe3442

Observation 9e37b729-4e0c-45fc-baa2-6790f364df5a · outbound

This paper cites Accessed: 2025-02.

HyPerAlign: Interpretable Personalized LLM Alignment via Hypothesis Generation Accessed: 2025-02

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:18:08.708843Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:18:06.644408Z digest=sha256:ae204db4572dcfb9dad2b15cb741a8a9b1b1b782ffd6c1ec61e0722f754932ad

Observation 8be2dfd4-7167-4a60-a29f-4329e661712a · outbound

This paper cites Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone.

HyPerAlign: Interpretable Personalized LLM Alignment via Hypothesis Generation Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-16T05:18:06.652125Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:18:06.652125Z digest=sha256:b813b2cc7aa459cedfc7bd35b36a77c80f899e270bed49517537bc6211435135

Observation 98e9f582-0280-44de-958b-f6d9db311586 · outbound

This paper cites GPT-4 Technical Report.

HyPerAlign: Interpretable Personalized LLM Alignment via Hypothesis Generation GPT-4 Technical Report

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-16T05:18:06.659464Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:18:06.659464Z digest=sha256:9b891138b8eec04d7ea15c560bd32b75fa7af20dfaa7e527682ccf3e51ccc745

Observation af7a827c-ddbe-41f7-ab5f-3cbdbf5cfc54 · outbound

This paper cites Afzoon, U.

HyPerAlign: Interpretable Personalized LLM Alignment via Hypothesis Generation Afzoon, U

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-16T05:18:06.666358Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:18:06.666358Z digest=sha256:a297c89c7a617b9f5a9f83bece8c16b0446825453a9b4120ace7792b7bb0d75e

Observation 96ca5cb4-4f65-4360-a66e-372e3145827d · outbound

This paper cites an unresolved cited work.

HyPerAlign: Interpretable Personalized LLM Alignment via Hypothesis Generation Unresolved cited work

Reference 6

Resolution
unresolved
raw_fallback, observed 2026-08-16T05:18:08.688647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:18:06.674813Z digest=sha256:2d6d4a7df84e56fc31206c68a0f53c2ca48750187402311e8a0a7542ccdbb055

Observation 2abbf183-ccae-4e59-ac8c-2379417085bb · outbound

This paper cites an unresolved cited work.

HyPerAlign: Interpretable Personalized LLM Alignment via Hypothesis Generation Unresolved cited work

Reference 7

Resolution
unresolved
raw_fallback, observed 2026-08-16T05:18:08.671595Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:18:06.682322Z digest=sha256:7c57a7b5940acfb074aa3ba99faf2658f200c5a4243036ee649777eec4d359db

Observation d03a057b-37f4-4cdf-b40b-7d632aa9d1a3 · outbound

This paper cites Hallucination of Multimodal Large Language Models: A Survey.

HyPerAlign: Interpretable Personalized LLM Alignment via Hypothesis Generation Hallucination of Multimodal Large Language Models: A Survey

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-16T05:18:06.691273Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:18:06.691273Z digest=sha256:f76b0942feeb4686f67cbeba3b0bed3b3f3d7efaa4e7eba9e6bf03115281141a

Observation 1271d955-6131-43de-9c93-cc0312d7afef · outbound

This paper cites an unresolved cited work.

HyPerAlign: Interpretable Personalized LLM Alignment via Hypothesis Generation Unresolved cited work

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-16T05:18:06.697310Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:18:06.697310Z digest=sha256:fa5c25764a9b1fa191a38ed8c064aedf8775a66a59dcce70a5a712481696b51e

Observation 6ce8d353-c003-43a0-b019-6df9568c6320 · outbound

This paper cites Del Vicario, G.

HyPerAlign: Interpretable Personalized LLM Alignment via Hypothesis Generation Del Vicario, G

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:18:08.643787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:18:06.704185Z digest=sha256:74baa0a98ad0245206e8790569a6b9d3c33b0a195ec70918e2b60e88cf201e39

Observation db7e76f6-4762-46aa-a832-b023fd718178 · outbound

This paper cites VibeCheck: Discover and Quantify Qualitative Differences in Large Language Models.

HyPerAlign: Interpretable Personalized LLM Alignment via Hypothesis Generation VibeCheck: Discover and Quantify Qualitative Differences in Large Language Models

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-16T05:18:06.709896Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:18:06.709896Z digest=sha256:d31c442d22fe34edae00b11fb8320ad4f9008e7bfbc42f91ac49638569c3b4e0

Observation 74c36e15-5aa1-44e5-89d4-9c346a6c70d8 · outbound

This paper cites StyleRemix: Interpretable Authorship Obfuscation via Distillation and Perturbation of Style Elements.

HyPerAlign: Interpretable Personalized LLM Alignment via Hypothesis Generation StyleRemix: Interpretable Authorship Obfuscation via Distillation and Perturbation of Style Elements

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-16T05:18:06.716325Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:18:06.716325Z digest=sha256:6a241acec9697e7ae1b43eca684734a3543ccd1425c1336838ba39b91a111ca2

Observation 020f9413-c7da-4371-a38e-6c1718696fa2 · outbound

This paper cites Scaling Synthetic Data Creation with 1,000,000,000 Personas.

HyPerAlign: Interpretable Personalized LLM Alignment via Hypothesis Generation Scaling Synthetic Data Creation with 1,000,000,000 Personas

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-16T05:18:06.721893Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:18:06.721893Z digest=sha256:e71404b190246f7032e64ac1fcc21aacdc173752384851d1e8ef62931610a21d

Observation 3b26c048-b55b-4045-a95c-f325975a644a · outbound

This paper cites an unresolved cited work.

HyPerAlign: Interpretable Personalized LLM Alignment via Hypothesis Generation Unresolved cited work

Reference 14

Resolution
unresolved
raw_fallback, observed 2026-08-16T05:18:08.625541Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:18:06.728025Z digest=sha256:189203355148af55359fd1f8e70fddf26cb9b43c85facc3b0d1f9f4bf3cf7a1e

Observation d09733d2-7e93-4c89-94e6-a86ef1b54684 · outbound

This paper cites Goldstein-Stewart, K.

HyPerAlign: Interpretable Personalized LLM Alignment via Hypothesis Generation Goldstein-Stewart, K

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:18:08.607316Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:18:06.734832Z digest=sha256:630008ae1bccd6c23d128c4a60983b4b59fef2bea90ed8dfe7f9a36c6c6c65eb

Observation 2b04cc82-2930-4dba-a11a-7b88aee575b0 · outbound

This paper cites Deliberative Alignment: Reasoning Enables Safer Language Models.

HyPerAlign: Interpretable Personalized LLM Alignment via Hypothesis Generation Deliberative Alignment: Reasoning Enables Safer Language Models

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-16T05:18:06.745802Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:18:06.745802Z digest=sha256:691ef3ad5b3d6044a2763aa4e17ec73180e20bfa290ffa040386536d33f4c248

Observation aa5b5be2-346c-49fd-b7c7-50f4a4067397 · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

HyPerAlign: Interpretable Personalized LLM Alignment via Hypothesis Generation DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-16T05:18:06.752282Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:18:06.752282Z digest=sha256:c739e79dd8f264c75fe2ba987b53a2ed789e82bf3b150ee61082093f2a0adf6d

Observation e12a88fe-cab6-4272-8f76-32f7fda1e861 · outbound

This paper cites an unresolved cited work.

HyPerAlign: Interpretable Personalized LLM Alignment via Hypothesis Generation Unresolved cited work

Reference 18

Resolution
unresolved
raw_fallback, observed 2026-08-16T05:18:08.571173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:18:06.757345Z digest=sha256:98da56fcbc5a1b14f8b1a89b933d078a942ab23f0a227466909e4b896a682b74

Observation 9c10e699-9943-41b5-879e-f7af4353d0f8 · outbound

This paper cites an unresolved cited work.

HyPerAlign: Interpretable Personalized LLM Alignment via Hypothesis Generation Unresolved cited work

Reference 19

Resolution
unresolved
raw_fallback, observed 2026-08-16T05:18:08.553171Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:18:06.764079Z digest=sha256:01ee3cda8df4228d08bd9dcb0115da27523a30052e1795f06aab41796ba8c2ed

Observation c93453a6-fc3a-4dfe-9791-a9582cd8f0b5 · outbound

This paper cites Huang, W.

HyPerAlign: Interpretable Personalized LLM Alignment via Hypothesis Generation Huang, W

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:18:08.534572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:18:06.769870Z digest=sha256:63ff08bdc49aee9668f189b5aaf954ae1336d8f5372258fb2de63eaecf35c864

Observation 5568eea0-b068-4df7-bf23-74ad647206aa · outbound

This paper cites Hwang, B.

HyPerAlign: Interpretable Personalized LLM Alignment via Hypothesis Generation Hwang, B

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:18:08.515099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:18:06.775501Z digest=sha256:90d3d8b68436b8d1865f9696a2e4aa4fee71fce9e607afc317feb6aa018011dd

Observation ad905df2-eb08-4145-a34d-591527cf9cd8 · outbound

This paper cites Mistral 7B.

HyPerAlign: Interpretable Personalized LLM Alignment via Hypothesis Generation Mistral 7B

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-16T05:18:06.782074Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:18:06.782074Z digest=sha256:754198ff828be26dc440d7059d4890324d809d04ecb79b94983a634314fcf4fd

Observation f11e8e8c-618e-4904-881d-7dc866b1e9cb · outbound

This paper cites Personalisation within bounds: A risk taxonomy and policy framework for the alignment of large language models with personalised feedback.

HyPerAlign: Interpretable Personalized LLM Alignment via Hypothesis Generation Personalisation within bounds: A risk taxonomy and policy framework for the alignment of large language models with personalised feedback

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-16T05:18:06.788813Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:18:06.788813Z digest=sha256:a73fc1b3daaa0539694b9324bbda12aa0ab2cc90917fe94d44a2a4777cef5c73

Observation e37f26f4-0e37-4540-a04b-cc13db4a9080 · outbound

This paper cites an unresolved cited work.

HyPerAlign: Interpretable Personalized LLM Alignment via Hypothesis Generation Unresolved cited work

Reference 24

Resolution
unresolved
raw_fallback, observed 2026-08-16T05:18:08.498731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:18:06.794856Z digest=sha256:f2d12f4b5f93398de923fb2a58794cb23bb65686f40ea9e50e9799aaaa96675e

Observation 41050798-e326-4b79-8c12-c9faa61451f5 · outbound

This paper cites BIG5-CHAT: Shaping LLM Personalities Through Training on Human-Grounded Data.

HyPerAlign: Interpretable Personalized LLM Alignment via Hypothesis Generation BIG5-CHAT: Shaping LLM Personalities Through Training on Human-Grounded Data

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-16T05:18:06.799825Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:18:06.799825Z digest=sha256:1acd1f3c6b4f33e1479b9075689f2ff70f31b61c1e3b5cb380243a587e5c9b0e

Observation 9efe1862-2929-4dba-adc2-89275a337944 · outbound

This paper cites an unresolved cited work.

HyPerAlign: Interpretable Personalized LLM Alignment via Hypothesis Generation Unresolved cited work

Reference 26

Resolution
unresolved
raw_fallback, observed 2026-08-16T05:18:08.480597Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:18:06.805857Z digest=sha256:db85f107e263c79740d3968fffc80ea2278cfca024815d815b750864e658129c

Observation 51c7a802-192e-444f-8141-df286bf130d3 · outbound

This paper cites an unresolved cited work.

HyPerAlign: Interpretable Personalized LLM Alignment via Hypothesis Generation Unresolved cited work

Reference 27

Resolution
unresolved
raw_fallback, observed 2026-08-16T05:18:08.462503Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:18:06.811173Z digest=sha256:1c010d97d121bae35da0676f76cc085894401fb7e2bc3ab512e968aa6fb0b0a1

Observation b611e94c-7aa8-4a86-882c-893e207a4795 · outbound

This paper cites Patel, D.

HyPerAlign: Interpretable Personalized LLM Alignment via Hypothesis Generation Patel, D

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:18:08.445233Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:18:06.816741Z digest=sha256:58670609c083c09732e86d4534b75ad12c26c7f00a6acb1e724f85354ccaf518

Observation 5a8b7a25-1f0a-4f5c-9c83-3597aa6dc2d2 · outbound

This paper cites Rafailov, A.

HyPerAlign: Interpretable Personalized LLM Alignment via Hypothesis Generation Rafailov, A

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-16T05:18:06.821913Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:18:06.821913Z digest=sha256:8852b4905f2ff532beeafb00910764a7bd2bb976e525c52a2b0f02f5696df2fa

Observation 9a4d7ce5-57ed-4347-a2ad-2fffe601deb7 · outbound

This paper cites Ramesh Kashyap, D.

HyPerAlign: Interpretable Personalized LLM Alignment via Hypothesis Generation Ramesh Kashyap, D

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:18:08.414582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:18:06.827234Z digest=sha256:98f1763ef59e027fe5f4fc692c8ba3ba6699256054d8baaf3ea3e8843b6b9996

Observation ebf971fe-5d37-4932-a4e0-1c59e2b8a608 · outbound

This paper cites Röttger, H.

HyPerAlign: Interpretable Personalized LLM Alignment via Hypothesis Generation Röttger, H

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:18:08.377536Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:18:06.840589Z digest=sha256:3b558a163cdc8ca1eed426dbb7ed34af4beaa772bcb78046dcb2fbb0d6cc1081

Observation 1d5a6162-502c-445b-98c4-4d2aa67ec4fa · outbound

This paper cites Sahoo, P.

HyPerAlign: Interpretable Personalized LLM Alignment via Hypothesis Generation Sahoo, P

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:18:08.354320Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:18:06.846232Z digest=sha256:159ba5cf20ed3ed4e3d1ec71a8ee761d7bf82855f074dd5d1e74650455c88dc5

Observation 8e59c760-aeb2-43c3-846b-1bc4aa622476 · outbound

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

HyPerAlign: Interpretable Personalized LLM Alignment via Hypothesis Generation LaMP: When Large Language Models Meet Personalization

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-16T05:18:06.852334Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:18:06.852334Z digest=sha256:5276e6310a04a731abba387968340e887ee7154d0dbf2ee90aa417cfaf0ed7b9

Observation e21aea07-4c95-4074-a9b4-e199422ce54e · outbound

This paper cites Santurkar, E.

HyPerAlign: Interpretable Personalized LLM Alignment via Hypothesis Generation Santurkar, E

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:18:08.336317Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:18:06.860262Z digest=sha256:ba60d646b22fd809b5dd5db57bcdc04b7c8ef41d95e3e043337ddf6deab66a74

Observation aaa81ba0-bdc5-45c6-861d-bedf3af9e2dc · outbound

This paper cites Aligning Language Models with Demonstrated Feedback.

HyPerAlign: Interpretable Personalized LLM Alignment via Hypothesis Generation Aligning Language Models with Demonstrated Feedback

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-16T05:18:06.865918Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:18:06.865918Z digest=sha256:f72e198b2dde462578aa4bde883cb214145482d938cdc3551f860fef407c9221

Observation c905ef1d-e523-45e7-b8f8-863fcbae2106 · outbound

This paper cites A StrongREJECT for Empty Jailbreaks.

HyPerAlign: Interpretable Personalized LLM Alignment via Hypothesis Generation A StrongREJECT for Empty Jailbreaks

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-16T05:18:06.871160Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:18:06.871160Z digest=sha256:748e7765dfdc021ab0513726677bf081bf9abe332ee41e2f41079969ef277dff

Observation 8aed5afd-048f-401f-a378-1a4d80924e3d · outbound

This paper cites Stiennon, L.

HyPerAlign: Interpretable Personalized LLM Alignment via Hypothesis Generation Stiennon, L

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:18:08.317670Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:18:06.877080Z digest=sha256:46b22fdfd8d7d30dfcf5f9a727c00d2c7512045edca63952b12a5faa02877749

Observation 5f1f448d-f439-4e34-95fe-7ae89e37fd94 · outbound

This paper cites Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context.

HyPerAlign: Interpretable Personalized LLM Alignment via Hypothesis Generation Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-16T05:18:06.882699Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:18:06.882699Z digest=sha256:cd8c513585d94548a4866e4eb0a5a1116ddbbbc393ed4cc0f58453f6ad1c0f10

Observation 0d8a6a8b-e256-4f6e-b62b-74fc6a9b26da · outbound

This paper cites Gemma: Open Models Based on Gemini Research and Technology.

HyPerAlign: Interpretable Personalized LLM Alignment via Hypothesis Generation Gemma: Open Models Based on Gemini Research and Technology

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-16T05:18:06.890367Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:18:06.890367Z digest=sha256:0e4722635f2427b51124728ca7456f9c7cd7daf159dbdd6bd37ecdcfae04a9a4

Observation aa3719ac-22b7-49c2-a2d1-99f106065329 · outbound

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

HyPerAlign: Interpretable Personalized LLM Alignment via Hypothesis Generation LLaMA: Open and Efficient Foundation Language Models

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-16T05:18:06.896495Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:18:06.896495Z digest=sha256:a744cff0873aa12cf4a84b463475b6cdd2ea61156c91b9e105b287df3e4081f1

Observation c4465679-a99e-45af-a202-6370b54fef19 · outbound

This paper cites an unresolved cited work.

HyPerAlign: Interpretable Personalized LLM Alignment via Hypothesis Generation Unresolved cited work

Reference 41

Resolution
unresolved
raw_fallback, observed 2026-08-16T05:18:08.300327Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:18:06.901940Z digest=sha256:8c85c21d6ee1a54f95e9f66b98fb48a68d620f1d3ae119980505732144c4f6d4

Observation 2a2585f5-4521-4310-88dd-15dae3ba40d3 · outbound

This paper cites Reinforcement Learning for LLM Post-Training: A Survey.

HyPerAlign: Interpretable Personalized LLM Alignment via Hypothesis Generation Reinforcement Learning for LLM Post-Training: A Survey

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-16T05:18:07.033884Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:18:07.033884Z digest=sha256:d967719358c6521f90ae23c486820b7631858d08bb34693b7ba091cbcb88b48a

Observation b4d0a4fe-3d82-4fa3-983f-2925c9318175 · outbound

This paper cites RoleLLM: Benchmarking, Eliciting, and Enhancing Role-Playing Abilities of Large Language Models.

HyPerAlign: Interpretable Personalized LLM Alignment via Hypothesis Generation RoleLLM: Benchmarking, Eliciting, and Enhancing Role-Playing Abilities of Large Language Models

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-16T05:18:07.039331Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:18:07.039331Z digest=sha256:956ea16fdc5770f6ec1c55085107fd3f0310a84ec298342bffad2dfd8d238ee3

Observation 8788dbc2-0770-463e-a3a8-c57f74d63cd9 · outbound

This paper cites an unresolved cited work.

HyPerAlign: Interpretable Personalized LLM Alignment via Hypothesis Generation Unresolved cited work

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-16T05:18:07.047284Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:18:07.047284Z digest=sha256:fe3ac8b1d990a1088316ffe7dc0984729d1e687f96e4bf783acfd86488c5bb10

Observation 6499e463-c18f-463b-b7f8-7fbc04ae9bf6 · outbound

This paper cites Aligning LLMs with Individual Preferences via Interaction.

HyPerAlign: Interpretable Personalized LLM Alignment via Hypothesis Generation Aligning LLMs with Individual Preferences via Interaction

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-16T05:18:07.052815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:18:07.052815Z digest=sha256:6ff98562ffd5fe3ab40323add456996957940ae5fd0b4459596d31c89a454c73

Observation ce1e9bab-3fd5-4ad1-8f9a-7f2a3489f025 · outbound

This paper cites SORRY-Bench: Systematically Evaluating Large Language Model Safety Refusal.

HyPerAlign: Interpretable Personalized LLM Alignment via Hypothesis Generation SORRY-Bench: Systematically Evaluating Large Language Model Safety Refusal

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-16T05:18:07.059327Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:18:07.059327Z digest=sha256:5de6248e21cc107c2bcb37132416cb87c97d74af72ea494f77da2254d097d078

Observation 4345e11f-f080-45cf-809c-9eec44d44961 · outbound

This paper cites an unresolved cited work.

HyPerAlign: Interpretable Personalized LLM Alignment via Hypothesis Generation Unresolved cited work

Reference 47

Resolution
unresolved
raw_fallback, observed 2026-08-16T05:18:08.269318Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:18:07.065802Z digest=sha256:6faa0f466f00dd0918856e78dc7b75f0c14e4f717f75eee520995d6997495679

Observation 6e4b6192-f3a7-4fbe-9e16-e4a3d0f22844 · outbound

This paper cites Zhang, E.

HyPerAlign: Interpretable Personalized LLM Alignment via Hypothesis Generation Zhang, E

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:18:08.252143Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:18:07.070987Z digest=sha256:2bab9405a83ef410dbfa69a098c8b611721b45e4e3fe198688ba6c434dff8adf

Observation 7736dc33-4f61-4099-a13d-06cd179debec · outbound

This paper cites an unresolved cited work.

HyPerAlign: Interpretable Personalized LLM Alignment via Hypothesis Generation Unresolved cited work

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-16T05:18:07.077574Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:18:07.077574Z digest=sha256:3556a8e3ebb7ceec0c3f91781c54180d96a8efec8aa8a1980e7793a68f1e203b

Observation ad0d644a-f58f-4de2-a018-a28bdf4c3110 · outbound

This paper cites Hypothesis Generation with Large Language Models.

HyPerAlign: Interpretable Personalized LLM Alignment via Hypothesis Generation Hypothesis Generation with Large Language Models

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-16T05:18:07.083984Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:18:07.083984Z digest=sha256:665c19719f43831acfacc43721af895c295967d93fa8c754670ce6b0da1fa861

Observation 1c1d6d82-4ed4-40cb-ad78-5d89e049ddc8 · outbound

This paper cites I feel" or.

HyPerAlign: Interpretable Personalized LLM Alignment via Hypothesis Generation I feel" or

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:18:08.219232Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:18:07.089766Z digest=sha256:34786fc7954f129caa1f28158265f49decc64d13d1fa50bd0137c3ae5b5f456b

Observation a40092b0-3dae-4a8c-bdd7-2bb54bf327ee · outbound

This paper cites As always.

HyPerAlign: Interpretable Personalized LLM Alignment via Hypothesis Generation As always

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:18:08.200429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:18:07.096820Z digest=sha256:5379550c219200f52e2c0442d142437bb2a654a22ea8206875d780824b4ba689

Observation 03f3322c-e923-4326-8227-f0eded33d6dd · outbound

This paper cites ASAP" and informal expressions like.

HyPerAlign: Interpretable Personalized LLM Alignment via Hypothesis Generation ASAP" and informal expressions like

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:18:08.177927Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:18:07.102637Z digest=sha256:9bf3eef07cd2237c06f1efdfce3fbcb7a102fc3890969663ae044978be15e709

Observation 98ed4baa-539a-4091-9054-768d049c43cd · outbound

This paper cites Hi everyone! Just a reminder that there won’t be a seminar this week.

HyPerAlign: Interpretable Personalized LLM Alignment via Hypothesis Generation Hi everyone! Just a reminder that there won’t be a seminar this week

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:18:08.157024Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:18:07.108607Z digest=sha256:cb5cd1e1bdf7d4e0371a9389874cacba9830d49c57d396c05596a26023da3b27

Observation 37a90439-5a36-4992-b8a1-233a00f33cf7 · outbound

This paper cites Lemme know if this weekend works for you all!.

HyPerAlign: Interpretable Personalized LLM Alignment via Hypothesis Generation Lemme know if this weekend works for you all!

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:18:08.139860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:18:07.114003Z digest=sha256:eef08126cc8e35cbbf3ce8f84554834f156a2541f9280eea9c95ac19299b4ec2

Observation fd63c9d7-f002-49a1-8524-4d6f2b10bda2 · outbound

This paper cites Hey folks!.

HyPerAlign: Interpretable Personalized LLM Alignment via Hypothesis Generation Hey folks!

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:18:08.121649Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:18:07.119484Z digest=sha256:56e15373c1e7d1296571f3c19f1155417b1bea08581d8a73aba78b4d9be12f57

Observation 4ec496b2-54a4-4ca6-b36a-bccbe734d258 · outbound

This paper cites EYE SCREAM.

HyPerAlign: Interpretable Personalized LLM Alignment via Hypothesis Generation EYE SCREAM

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:18:08.103556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:18:07.126307Z digest=sha256:368b8bf1029998f4b5154f97124279fc4dad66da77300faf273611976ad0484e

Observation b0bb966c-fcc2-44a2-b99b-64236ecee6f6 · outbound

This paper cites ATTENTION!!! VERY URGENT!!.

HyPerAlign: Interpretable Personalized LLM Alignment via Hypothesis Generation ATTENTION!!! VERY URGENT!!

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:18:08.085062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:18:07.132389Z digest=sha256:66f9b7ceafc91935f9d697253e7fdee1697988df962e08d17abb05841233194a

Observation a74c5436-ede8-4e8c-a404-7ba2d7c02f70 · outbound

This paper cites Hey folks! We won’t be having a seminar this week.

HyPerAlign: Interpretable Personalized LLM Alignment via Hypothesis Generation Hey folks! We won’t be having a seminar this week

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:18:08.064766Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:18:07.137808Z digest=sha256:6421bb4b231108011cb5c259961b9df732dae3000f659095584ad5f12b16fcea

Observation 6082d1b4-f391-43e9-827d-e22a6bb04688 · outbound

This paper cites Be there or be a melted ice cream cone!.

HyPerAlign: Interpretable Personalized LLM Alignment via Hypothesis Generation Be there or be a melted ice cream cone!

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:18:08.046832Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:18:07.144017Z digest=sha256:ebc95d010d1123135414970cde18e19a161837c75adebf49dbdeaa7dfcd6d577

Observation 098fc116-f7cc-4a5c-81bb-085b053712a2 · outbound

This paper cites We are gonna get some EYE SCREAM this weekend for our social.

HyPerAlign: Interpretable Personalized LLM Alignment via Hypothesis Generation We are gonna get some EYE SCREAM this weekend for our social

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:18:08.029718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:18:07.149965Z digest=sha256:ecf1caf071ab42f6bb4db06244173300f119d113589aed6b34ecd58bbf0701ae

Observation 9b48cc92-c08e-4175-99bb-51266223717a · outbound

This paper cites an unresolved cited work.

HyPerAlign: Interpretable Personalized LLM Alignment via Hypothesis Generation Unresolved cited work

Reference 64

Resolution
unresolved
raw_fallback, observed 2026-08-16T05:18:08.012814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:18:07.156043Z digest=sha256:1ec643deb8e78d99f2412bf8c5a5684075b64645ae924f67958e0d8755b86b99

Observation 2a260453-fad9-4748-84c2-023c85c63bea · outbound

This paper cites an unresolved cited work.

HyPerAlign: Interpretable Personalized LLM Alignment via Hypothesis Generation Unresolved cited work

Reference 65

Resolution
unresolved
raw_fallback, observed 2026-08-16T05:18:07.996977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:18:07.162117Z digest=sha256:15f60c792aa48e7238d9daa624b2151803d736df772e68d80805087de7a99379

Observation 30d5ee2e-8d98-480d-95a7-241c7387dc81 · outbound

This paper cites an unresolved cited work.

HyPerAlign: Interpretable Personalized LLM Alignment via Hypothesis Generation Unresolved cited work

Reference 66

Resolution
unresolved
raw_fallback, observed 2026-08-16T05:18:07.980683Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:18:07.167984Z digest=sha256:e02d9badfacf5fe7ba574f1b0bbc92dc4652f2d17d87135d004db63616ea49ea

Observation a16386b6-b063-435c-9772-5be280d547a6 · outbound

This paper cites an unresolved cited work.

HyPerAlign: Interpretable Personalized LLM Alignment via Hypothesis Generation Unresolved cited work

Reference 67

Resolution
unresolved
raw_fallback, observed 2026-08-16T05:18:07.962016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:18:07.174590Z digest=sha256:7138f1d4e61ae88db028dcb531cf90066b20e5685b5f779a28f30fbe28f5f81d

Observation ed2b0cc0-6cf3-4ee7-b866-8497eeee5db3 · outbound

This paper cites an unresolved cited work.

HyPerAlign: Interpretable Personalized LLM Alignment via Hypothesis Generation Unresolved cited work

Reference 68

Resolution
unresolved
raw_fallback, observed 2026-08-16T05:18:07.945204Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:18:07.181897Z digest=sha256:f373d332a1c5656e2f9d5be8064663a06d04a80369bed382e51cf5cb89cc0a4c

Observation 769a081d-a200-40e6-a040-c9f5d92656bc · outbound

This paper cites an unresolved cited work.

HyPerAlign: Interpretable Personalized LLM Alignment via Hypothesis Generation Unresolved cited work

Reference 69

Resolution
unresolved
raw_fallback, observed 2026-08-16T05:18:07.929221Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:18:07.190428Z digest=sha256:e68675ca6ab7a477b10b9f511041be4d6b34fefc986dc100f6755bb58f3f7c52

Observation de072271-1a7e-4d28-865d-f28f2399c804 · outbound

This paper cites Wait, that’s confusing.

HyPerAlign: Interpretable Personalized LLM Alignment via Hypothesis Generation Wait, that’s confusing

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:18:07.911492Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:18:07.197218Z digest=sha256:d7bb808d682b477dcb20923750ffc8dc37faf80f209c30df5c0ea828f80a3fcc

Observation 6fa47349-c477-4787-8926-c80b2ab3720a · outbound

This paper cites an unresolved cited work.

HyPerAlign: Interpretable Personalized LLM Alignment via Hypothesis Generation Unresolved cited work

Reference 71

Resolution
unresolved
raw_fallback, observed 2026-08-16T05:18:07.893650Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:18:07.205840Z digest=sha256:3847bf20d447420fa3d5ab076dff3bcda9eeb562a631a608584afee724b57883

Observation 5cf24e63-8a7f-43ba-a7d9-3ff355c35fc6 · outbound

This paper cites an unresolved cited work.

HyPerAlign: Interpretable Personalized LLM Alignment via Hypothesis Generation Unresolved cited work

Reference 72

Resolution
unresolved
raw_fallback, observed 2026-08-16T05:18:07.873906Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:18:07.212077Z digest=sha256:f962cb985c5839d5adca6fcb1f973e5d1187418ebcf699d790a8ec5587d7fa26

Observation d3089344-b873-48da-9557-f474abbb4aa0 · outbound

This paper cites an unresolved cited work.

HyPerAlign: Interpretable Personalized LLM Alignment via Hypothesis Generation Unresolved cited work

Reference 73

Resolution
unresolved
raw_fallback, observed 2026-08-16T05:18:07.853120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:18:07.220613Z digest=sha256:1914e5ff7cc869c6e03d71ae59fbb80fee0aaadc2fc6f79871d509d2371c2fe3

Observation 0caf05f7-7e37-4de1-af6f-5adf9bfc3f60 · outbound

This paper cites an unresolved cited work.

HyPerAlign: Interpretable Personalized LLM Alignment via Hypothesis Generation Unresolved cited work

Reference 74

Resolution
unresolved
raw_fallback, observed 2026-08-16T05:18:07.836065Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:18:07.225927Z digest=sha256:798c334e4a59b4a5565f901edf934883ccf011e3758a5d8d375e460173530092

Observation 93136a65-f689-44c5-a0a0-cbb2d3810706 · outbound

This paper cites an unresolved cited work.

HyPerAlign: Interpretable Personalized LLM Alignment via Hypothesis Generation Unresolved cited work

Reference 75

Resolution
unresolved
raw_fallback, observed 2026-08-16T05:18:07.818926Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:18:07.235463Z digest=sha256:5fe9ee9230d77dd056c132e010c4cde022dd95e77a390cc8e974002141cbb890

Observation 4e3fd189-ce3d-4a66-ae89-b2c479f4470d · outbound

This paper cites As always.

HyPerAlign: Interpretable Personalized LLM Alignment via Hypothesis Generation As always

Reference 76

Resolution
malformed identifier
raw_fallback, observed 2026-08-16T05:18:07.802552Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:18:07.242518Z digest=sha256:5fb64d8fcde07274f52fbbdf6321fcdac064d5d3df9992fe4aa87d5dd26686ba

Observation e49420b5-f419-4fab-b024-8ff4b6776f36 · outbound

This paper cites an unresolved cited work.

HyPerAlign: Interpretable Personalized LLM Alignment via Hypothesis Generation Unresolved cited work

Reference 2008

Resolution
unresolved
raw_fallback, observed 2026-08-16T05:18:08.588668Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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This paper cites an unresolved cited work.

HyPerAlign: Interpretable Personalized LLM Alignment via Hypothesis Generation Unresolved cited work

Reference 2022

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Pith citing papers

Observation 657ad2b4-06a1-49ca-9bc5-671194875d54 · inbound

Prompting as Scientific Inquiry cites this paper.

Prompting as Scientific Inquiry HyPerAlign: Interpretable Personalized LLM Alignment via Hypothesis Generation

Reference 2025

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Unavailable: canonical work link unavailable.

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

POPI: Personalizing LLMs via Optimized Natural Language Preference Inference HyPerAlign: Interpretable Personalized LLM Alignment via Hypothesis Generation

Reference 14

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Observation d091d356-82f2-4be0-b62d-f74e3ef4984d · inbound

Synthetic Interaction Data for Scalable Personalization in Large Language Models cites this paper.

Synthetic Interaction Data for Scalable Personalization in Large Language Models HyPerAlign: Interpretable Personalized LLM Alignment via Hypothesis Generation

Reference 18

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Unavailable: canonical work link unavailable.

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Large Language Models Should Learn Personalized Rather Than Aggregated Human Preferences cites this paper.

Large Language Models Should Learn Personalized Rather Than Aggregated Human Preferences HyPerAlign: Interpretable Personalized LLM Alignment via Hypothesis Generation

Reference 7

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