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Paper Citation Record · LEDGER

Whose Boat Does it Float? Improving Personalization in Preference Tuning via Inferred User Personas

As of 11 August 2026, this Paper Citation Record lists 97 of 97 outbound references and 0 inbound Pith citation observations for arXiv:2501.11549.

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

pith.paper-citation-record.v1
2501.11549 v2

Coverage vector

measured 97 of 97 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T18:14:25.862391Z

measured 97 of 97 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+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

97 of 97 outbound references displayed

  • verified exact4
  • verified fuzzy4
  • unresolved89
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6facc34b-14b4-4d6e-af0e-9974a37bf35f · outbound

This paper cites GPT-4 Technical Report.

Whose Boat Does it Float? Improving Personalization in Preference Tuning via Inferred User Personas GPT-4 Technical Report

Reference 1

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Unavailable: canonical work link unavailable.

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Observation 98d7c51a-08ae-48a3-92a2-cf01729f4b9d · outbound

This paper cites Stevie Bergman, Jennifer Chien, Mark D\' az, Seliem El-Sayed, Jaylen Pittman, Shakir Mohamed, and Kevin R.

Whose Boat Does it Float? Improving Personalization in Preference Tuning via Inferred User Personas Stevie Bergman, Jennifer Chien, Mark D\' az, Seliem El-Sayed, Jaylen Pittman, Shakir Mohamed, and Kevin R

Reference 2

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Observation e43b4bd2-0384-4161-8cc1-36e2cbe6e825 · outbound

This paper cites an unresolved cited work.

Whose Boat Does it Float? Improving Personalization in Preference Tuning via Inferred User Personas Unresolved cited work

Reference 3

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Observation 8940b6d9-6d50-4734-b07a-e5045386d911 · outbound

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

Whose Boat Does it Float? Improving Personalization in Preference Tuning via Inferred User Personas Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback

Reference 4

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source=arxiv_source observed=2026-08-10T18:14:25.505082Z digest=sha256:16149d3655393d7dd93fe06f5774840b5410656a53ce9a58f1c2fe6f3eb7b637

Observation c693c986-80d3-4485-a0b2-a3bb87be1483 · outbound

This paper cites Constitutional AI: Harmlessness from AI Feedback.

Whose Boat Does it Float? Improving Personalization in Preference Tuning via Inferred User Personas Constitutional AI: Harmlessness from AI Feedback

Reference 5

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source=arxiv_source observed=2026-08-10T18:14:25.509883Z digest=sha256:aa8260402c6c8af61d62e1e56f17f95225b901a6a9ff5861767e7c24ed1f27dd

Observation 9dccc5e8-79ae-40bc-83a4-5a67c8474e52 · outbound

This paper cites an unresolved cited work.

Whose Boat Does it Float? Improving Personalization in Preference Tuning via Inferred User Personas Unresolved cited work

Reference 6

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source=arxiv_source observed=2026-08-10T18:14:25.514009Z digest=sha256:28eac16260dd11e6be7ade528182bcc2112870f76036f25482c9d353439635d7

Observation 97b7545f-c53a-4818-a72e-26c244cfa6a9 · outbound

This paper cites an unresolved cited work.

Whose Boat Does it Float? Improving Personalization in Preference Tuning via Inferred User Personas Unresolved cited work

Reference 7

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Observation 4b300513-40f0-49ad-9e12-797c47389559 · outbound

This paper cites an unresolved cited work.

Whose Boat Does it Float? Improving Personalization in Preference Tuning via Inferred User Personas Unresolved cited work

Reference 8

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source=arxiv_source observed=2026-08-10T18:14:25.521431Z digest=sha256:652907c95ffc4eb8babfae434152ceee8ac027acb9056d6c0475f064adfe5a06

Observation ce56028d-ac3d-45e5-815d-34420069bf1e · outbound

This paper cites an unresolved cited work.

Whose Boat Does it Float? Improving Personalization in Preference Tuning via Inferred User Personas Unresolved cited work

Reference 9

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source=arxiv_source observed=2026-08-10T18:14:25.524980Z digest=sha256:466163a0771705e3ea2b0309b9c01b8c88e0829b760fa9a05a663b953f2c199e

Observation a87ca500-3227-4a07-b3a8-1bdb70822559 · outbound

This paper cites an unresolved cited work.

Whose Boat Does it Float? Improving Personalization in Preference Tuning via Inferred User Personas Unresolved cited work

Reference 10

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verified exact
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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation bab342f3-5cbd-40a8-add2-8b1a816d30cf · outbound

This paper cites an unresolved cited work.

Whose Boat Does it Float? Improving Personalization in Preference Tuning via Inferred User Personas Unresolved cited work

Reference 11

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Observation 67f63555-22b8-43e5-837a-985e9b6bf70d · outbound

This paper cites an unresolved cited work.

Whose Boat Does it Float? Improving Personalization in Preference Tuning via Inferred User Personas Unresolved cited work

Reference 12

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Observation 5d9f4d0e-06a3-4db9-b837-69d93bb1049e · outbound

This paper cites an unresolved cited work.

Whose Boat Does it Float? Improving Personalization in Preference Tuning via Inferred User Personas Unresolved cited work

Reference 13

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Observation c2c6a7b3-1fa8-4ed8-b692-0f8a149bfbce · outbound

This paper cites an unresolved cited work.

Whose Boat Does it Float? Improving Personalization in Preference Tuning via Inferred User Personas Unresolved cited work

Reference 14

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Observation a7adba2e-48f7-4963-97d5-b57fca4421c0 · outbound

This paper cites an unresolved cited work.

Whose Boat Does it Float? Improving Personalization in Preference Tuning via Inferred User Personas Unresolved cited work

Reference 15

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Observation d1add944-f823-4042-813c-035cbadb3418 · outbound

This paper cites an unresolved cited work.

Whose Boat Does it Float? Improving Personalization in Preference Tuning via Inferred User Personas Unresolved cited work

Reference 16

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Observation fc38914c-63ab-43eb-906c-91f756da0f3e · outbound

This paper cites Chi, Jeff Dean, Jacob Devlin, Adam Roberts, Denny Zhou, Quoc V.

Whose Boat Does it Float? Improving Personalization in Preference Tuning via Inferred User Personas Chi, Jeff Dean, Jacob Devlin, Adam Roberts, Denny Zhou, Quoc V

Reference 17

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Observation e9dcbd52-7501-41ed-8668-6c2b0f839896 · outbound

This paper cites an unresolved cited work.

Whose Boat Does it Float? Improving Personalization in Preference Tuning via Inferred User Personas Unresolved cited work

Reference 18

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Observation fe79e060-1792-4073-8d0b-08877999e717 · outbound

This paper cites an unresolved cited work.

Whose Boat Does it Float? Improving Personalization in Preference Tuning via Inferred User Personas Unresolved cited work

Reference 19

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Observation e42d6732-d504-44e7-a398-25f4a8dffaa1 · outbound

This paper cites an unresolved cited work.

Whose Boat Does it Float? Improving Personalization in Preference Tuning via Inferred User Personas Unresolved cited work

Reference 20

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Observation 4a217332-113f-471b-a11a-3a35185fd419 · outbound

This paper cites an unresolved cited work.

Whose Boat Does it Float? Improving Personalization in Preference Tuning via Inferred User Personas Unresolved cited work

Reference 21

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Observation 686a961d-e97c-4b7b-9572-d530e2a2ab33 · outbound

This paper cites an unresolved cited work.

Whose Boat Does it Float? Improving Personalization in Preference Tuning via Inferred User Personas Unresolved cited work

Reference 22

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verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation f282815d-7e79-4daf-aa63-4472cadf8b66 · outbound

This paper cites The Llama 3 Herd of Models.

Whose Boat Does it Float? Improving Personalization in Preference Tuning via Inferred User Personas The Llama 3 Herd of Models

Reference 23

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Observation d025aff6-5c51-483d-bfb2-059e6f8f19c6 · outbound

This paper cites an unresolved cited work.

Whose Boat Does it Float? Improving Personalization in Preference Tuning via Inferred User Personas Unresolved cited work

Reference 24

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Observation dd26c63d-700f-46c3-bcc6-dd0bfdf6b332 · outbound

This paper cites an unresolved cited work.

Whose Boat Does it Float? Improving Personalization in Preference Tuning via Inferred User Personas Unresolved cited work

Reference 25

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Observation c05cbf25-f1da-4699-b39a-d0534906faec · outbound

This paper cites an unresolved cited work.

Whose Boat Does it Float? Improving Personalization in Preference Tuning via Inferred User Personas Unresolved cited work

Reference 26

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Observation d7a58b25-6a85-4b4a-93a5-aab751e39f7f · outbound

This paper cites an unresolved cited work.

Whose Boat Does it Float? Improving Personalization in Preference Tuning via Inferred User Personas Unresolved cited work

Reference 27

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Observation 0f586258-5d52-478a-8ac9-5ab0349a6198 · outbound

This paper cites an unresolved cited work.

Whose Boat Does it Float? Improving Personalization in Preference Tuning via Inferred User Personas Unresolved cited work

Reference 28

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Observation 793bcde7-0ca0-483b-bd89-a01c5f17e870 · outbound

This paper cites Bayesian Preference Elicitation with Language Models.

Whose Boat Does it Float? Improving Personalization in Preference Tuning via Inferred User Personas Bayesian Preference Elicitation with Language Models

Reference 29

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Observation 2de82ba7-5d75-4044-8646-687c2e0804df · outbound

This paper cites an unresolved cited work.

Whose Boat Does it Float? Improving Personalization in Preference Tuning via Inferred User Personas Unresolved cited work

Reference 30

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Observation 33763698-03c9-4a94-bec6-b67961d17a37 · outbound

This paper cites an unresolved cited work.

Whose Boat Does it Float? Improving Personalization in Preference Tuning via Inferred User Personas Unresolved cited work

Reference 31

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation e00f3a31-9cb3-4ce9-8c54-c9b0d94faeba · outbound

This paper cites an unresolved cited work.

Whose Boat Does it Float? Improving Personalization in Preference Tuning via Inferred User Personas Unresolved cited work

Reference 32

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Observation abe19509-5478-43ab-a7ca-98ddac2b68dd · outbound

This paper cites an unresolved cited work.

Whose Boat Does it Float? Improving Personalization in Preference Tuning via Inferred User Personas Unresolved cited work

Reference 33

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Observation 124d2986-4586-48d0-9ba5-184d3dcc227d · outbound

This paper cites an unresolved cited work.

Whose Boat Does it Float? Improving Personalization in Preference Tuning via Inferred User Personas Unresolved cited work

Reference 34

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Observation 2f862c78-51bd-4591-a933-f9558516c2d4 · outbound

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

Whose Boat Does it Float? Improving Personalization in Preference Tuning via Inferred User Personas Llama Guard: LLM-based Input-Output Safeguard for Human-AI Conversations

Reference 35

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Observation 9d8eda75-16db-45a4-8126-9aa351c4440e · outbound

This paper cites an unresolved cited work.

Whose Boat Does it Float? Improving Personalization in Preference Tuning via Inferred User Personas Unresolved cited work

Reference 36

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 0dab134b-601d-47e6-8646-4e956779644b · outbound

This paper cites an unresolved cited work.

Whose Boat Does it Float? Improving Personalization in Preference Tuning via Inferred User Personas Unresolved cited work

Reference 37

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation fd5c2b27-bab1-4c71-9b31-5407375391f4 · outbound

This paper cites an unresolved cited work.

Whose Boat Does it Float? Improving Personalization in Preference Tuning via Inferred User Personas Unresolved cited work

Reference 38

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Observation 06fcb9fa-83cd-4cac-905c-3a9abf1fb04b · outbound

This paper cites AI Alignment: A Comprehensive Survey.

Whose Boat Does it Float? Improving Personalization in Preference Tuning via Inferred User Personas AI Alignment: A Comprehensive Survey

Reference 39

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unresolved
no resolver link, observed 2026-08-10T18:14:25.638465Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T18:14:25.638465Z digest=sha256:7e8bb20c01d3e0c6918aba2a6d1985949a362c72afaf581534a315bf4140e3e4

Observation f67069bf-d963-4d15-b23e-8ceee44be4c9 · outbound

This paper cites an unresolved cited work.

Whose Boat Does it Float? Improving Personalization in Preference Tuning via Inferred User Personas Unresolved cited work

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-10T18:14:25.641773Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T18:14:25.641773Z digest=sha256:10f5403811550bba5bd3ab5daf59b474aac34e933bc12fd3f1d675739ec4c54b

Observation e3a20cd4-6821-4c08-bb0f-66a9324d1bfd · outbound

This paper cites an unresolved cited work.

Whose Boat Does it Float? Improving Personalization in Preference Tuning via Inferred User Personas Unresolved cited work

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-10T18:14:25.644992Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T18:14:25.644992Z digest=sha256:75ebf8f550a0cf13c9055c783fc1551d0e473bcf9a804ab64578d1d5e0d913ef

Observation fcf5a7f1-27fd-45ae-ab15-d03dfa050ae6 · outbound

This paper cites Improving Language Model Personas via Rationalization with Psychological Scaffolds.

Whose Boat Does it Float? Improving Personalization in Preference Tuning via Inferred User Personas Improving Language Model Personas via Rationalization with Psychological Scaffolds

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-10T18:14:25.648067Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T18:14:25.648067Z digest=sha256:a2b939762260ecd2ffc8d6bf70b792d7b1efb145b1ecfe9de8cbc6eccc1a1987

Observation 137bedea-7426-4d3e-8130-125f095b79f5 · outbound

This paper cites Stereotype or Personalization? User Identity Biases Chatbot Recommendations.

Whose Boat Does it Float? Improving Personalization in Preference Tuning via Inferred User Personas Stereotype or Personalization? User Identity Biases Chatbot Recommendations

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-10T18:14:25.652785Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T18:14:25.652785Z digest=sha256:a8106360320c4ee63d53f8c718361a05de9646af8c461ce37e0859f12d40d762

Observation b17d743c-6c38-411d-b49c-6dc3bad599e8 · outbound

This paper cites an unresolved cited work.

Whose Boat Does it Float? Improving Personalization in Preference Tuning via Inferred User Personas Unresolved cited work

Reference 44

Resolution
unresolved
raw_fallback, observed 2026-08-10T18:14:26.749732Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T18:14:25.657788Z digest=sha256:c09466fca5451e3667066a11d8cf1b6b86b5105ba7d4009cdbffe6832d92243a

Observation 61d601af-62d3-48ec-882b-adcefc236af3 · outbound

This paper cites an unresolved cited work.

Whose Boat Does it Float? Improving Personalization in Preference Tuning via Inferred User Personas Unresolved cited work

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-10T18:14:25.661540Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T18:14:25.661540Z digest=sha256:3a0a6f7cc76dbd7d0d57a5465e18ac5efb5afba912928e88d4a695e97ada70e0

Observation c3bde61a-e884-45ac-917e-37b593205a95 · outbound

This paper cites an unresolved cited work.

Whose Boat Does it Float? Improving Personalization in Preference Tuning via Inferred User Personas Unresolved cited work

Reference 46

Resolution
unresolved
raw_fallback, observed 2026-08-10T18:14:26.733784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T18:14:25.665236Z digest=sha256:6250036865fb09712400d4d8edbf1e1ffb987cdbe18bdb607481e2d1a0d74ea8

Observation a62c152e-40bb-417a-9292-4c0a5adc3769 · outbound

This paper cites o pf, Yannic Kilcher, Dimitri von R\.

Whose Boat Does it Float? Improving Personalization in Preference Tuning via Inferred User Personas o pf, Yannic Kilcher, Dimitri von R\

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:14:26.722784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T18:14:25.668997Z digest=sha256:9dc98f47aa15555bba6745738007254df8cab3c8d8dae68bbe2ea2d9afb42bb3

Observation b25d4439-435d-4b1c-9eab-2547e2be3125 · outbound

This paper cites an unresolved cited work.

Whose Boat Does it Float? Improving Personalization in Preference Tuning via Inferred User Personas Unresolved cited work

Reference 48

Resolution
unresolved
raw_fallback, observed 2026-08-10T18:14:26.712521Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T18:14:25.672856Z digest=sha256:6fba9c5fd95c6e89c021dc849664e5dd45f73e6194bbe8194a843d6caee4bbd9

Observation 7bb9a20a-997a-4a08-b8f9-e1930b6be0ac · outbound

This paper cites Li, Alex Tamkin, Noah Goodman, and Jacob Andreas.

Whose Boat Does it Float? Improving Personalization in Preference Tuning via Inferred User Personas Li, Alex Tamkin, Noah Goodman, and Jacob Andreas

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:14:26.702407Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T18:14:25.676947Z digest=sha256:cf5c096e7dc3ff935a8692b38fe7b812bd950632e9b501b10400b84e6a35a929

Observation 0ff08709-a0ad-42ed-8080-b0a07aa3d7c9 · outbound

This paper cites an unresolved cited work.

Whose Boat Does it Float? Improving Personalization in Preference Tuning via Inferred User Personas Unresolved cited work

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-10T18:14:25.681000Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T18:14:25.681000Z digest=sha256:adcf8580db5c217291889f932a21871b73eb757a956ccf69bcaf188155a760cc

Observation bf4289fe-e804-49f2-8e54-6befa8dc1500 · outbound

This paper cites an unresolved cited work.

Whose Boat Does it Float? Improving Personalization in Preference Tuning via Inferred User Personas Unresolved cited work

Reference 51

Resolution
unresolved
raw_fallback, observed 2026-08-10T18:14:26.691639Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T18:14:25.685782Z digest=sha256:45a0590030d54ab40efc7016e3a8191567483d83ef408693a06dc31b22ed856d

Observation 09caa3d0-00a2-4125-9ae2-5e4a56f7d9d8 · outbound

This paper cites an unresolved cited work.

Whose Boat Does it Float? Improving Personalization in Preference Tuning via Inferred User Personas Unresolved cited work

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-10T18:14:25.689910Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T18:14:25.689910Z digest=sha256:94af1b3a4f9c32423e41fddd25f0b3be71e9a28fc0c1aad9a27c20fce372215f

Observation 30fe5494-8dcd-46ce-ac2a-5c9ad9a9d2ce · outbound

This paper cites Aligning Teacher with Student Preferences for Tailored Training Data Generation.

Whose Boat Does it Float? Improving Personalization in Preference Tuning via Inferred User Personas Aligning Teacher with Student Preferences for Tailored Training Data Generation

Reference 53

Resolution
verified exact
local_arxiv, observed 2026-08-10T18:14:26.298273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T18:14:25.693742Z digest=sha256:87f81b27b645f696de16e4dd5cf1374b391496a072730cab13125968b1934c7f

Observation bd6cd894-819b-43bb-adbd-8636d3c1e1b7 · outbound

This paper cites Contextualized Evaluations: Judging Language Model Responses to Underspecified Queries.

Whose Boat Does it Float? Improving Personalization in Preference Tuning via Inferred User Personas Contextualized Evaluations: Judging Language Model Responses to Underspecified Queries

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-10T18:14:25.697578Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T18:14:25.697578Z digest=sha256:2f06c1503c19cb8cd1eabfc32a97307dcecfcb2ae56f39deb98adfc704e0aa22

Observation 4b282fe9-faa1-4444-9017-e1f5dfe8a3b6 · outbound

This paper cites an unresolved cited work.

Whose Boat Does it Float? Improving Personalization in Preference Tuning via Inferred User Personas Unresolved cited work

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-10T18:14:25.701370Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T18:14:25.701370Z digest=sha256:7445999e7ba12188d65f5befe40bafd27cbca18ec827159f8fa540ef3ecdebad

Observation 31c85328-76ea-4e15-824b-2e8a8dd46362 · outbound

This paper cites an unresolved cited work.

Whose Boat Does it Float? Improving Personalization in Preference Tuning via Inferred User Personas Unresolved cited work

Reference 56

Resolution
unresolved
raw_fallback, observed 2026-08-10T18:14:26.681319Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T18:14:25.704588Z digest=sha256:10fff286c08221905d830423ed3cc29dbf83c631175c3f63bcfffe974b8ceebc

Observation 05f0ac3e-1efe-4d83-a14b-2100fd8ae3be · outbound

This paper cites an unresolved cited work.

Whose Boat Does it Float? Improving Personalization in Preference Tuning via Inferred User Personas Unresolved cited work

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-10T18:14:25.707554Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T18:14:25.707554Z digest=sha256:0e454f3366399519ff79fef3dbf901e5b8dc19099c5aebdd31e9aeafa0d6ff44

Observation 33675149-5f33-490a-9fbb-d27c39a63982 · outbound

This paper cites an unresolved cited work.

Whose Boat Does it Float? Improving Personalization in Preference Tuning via Inferred User Personas Unresolved cited work

Reference 58

Resolution
unresolved
raw_fallback, observed 2026-08-10T18:14:26.662223Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T18:14:25.712130Z digest=sha256:b3308c21bd3d13666d375353ca13cc2f5014a1b8718fc7350bd08f2513f8a878

Observation 3957a442-85d9-41e8-9b23-267288027613 · outbound

This paper cites an unresolved cited work.

Whose Boat Does it Float? Improving Personalization in Preference Tuning via Inferred User Personas Unresolved cited work

Reference 59

Resolution
unresolved
raw_fallback, observed 2026-08-10T18:14:26.652115Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T18:14:25.716072Z digest=sha256:e9bcee09d380c9ece36dc3e1f8e129468afe05125a7a969c8820948768bfe114

Observation cdff8d83-92fa-4855-ae8c-65ebf88dcab7 · outbound

This paper cites an unresolved cited work.

Whose Boat Does it Float? Improving Personalization in Preference Tuning via Inferred User Personas Unresolved cited work

Reference 60

Resolution
unresolved
raw_fallback, observed 2026-08-10T18:14:26.640772Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T18:14:25.719603Z digest=sha256:9c1447911fbfb10ae54db7b6524024bcb2187c468182f9f515a51b0799bb580a

Observation 8ab8f697-fd64-417a-aef8-aa5bc2156d1c · outbound

This paper cites an unresolved cited work.

Whose Boat Does it Float? Improving Personalization in Preference Tuning via Inferred User Personas Unresolved cited work

Reference 61

Resolution
unresolved
raw_fallback, observed 2026-08-10T18:14:26.628515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T18:14:25.723622Z digest=sha256:78347bb58dfc11b2a3713d29ebdd9e5d3c9be37fe2b1d4f7eae45fd54dd50a3c

Observation 2a1cfd60-6a13-4232-80ef-e244adab1dd4 · outbound

This paper cites an unresolved cited work.

Whose Boat Does it Float? Improving Personalization in Preference Tuning via Inferred User Personas Unresolved cited work

Reference 62

Resolution
unresolved
raw_fallback, observed 2026-08-10T18:14:26.617049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T18:14:25.727333Z digest=sha256:314da2131f8905840054d6632d263acc190de42ef204f0203ddd545c11ddb3c5

Observation 7570a7a6-2652-43ef-862a-504e82eb7d58 · outbound

This paper cites an unresolved cited work.

Whose Boat Does it Float? Improving Personalization in Preference Tuning via Inferred User Personas Unresolved cited work

Reference 63

Resolution
unresolved
no resolver link, observed 2026-08-10T18:14:25.731184Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T18:14:25.731184Z digest=sha256:a75a29de592e2ab23461b91f5a566a4ead087431c4f4617a643460c1210d983f

Observation 71d8ac30-c184-42d7-9519-352e2188e973 · outbound

This paper cites an unresolved cited work.

Whose Boat Does it Float? Improving Personalization in Preference Tuning via Inferred User Personas Unresolved cited work

Reference 64

Resolution
unresolved
no resolver link, observed 2026-08-10T18:14:25.734799Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T18:14:25.734799Z digest=sha256:3da8807436473276ecea1b4206f6cc570b23517ffe0f4dbcad0e88afd7ea3b0d

Observation 3c7accbe-0070-463a-bbfe-1c2199de72e0 · outbound

This paper cites an unresolved cited work.

Whose Boat Does it Float? Improving Personalization in Preference Tuning via Inferred User Personas Unresolved cited work

Reference 65

Resolution
unresolved
no resolver link, observed 2026-08-10T18:14:25.738393Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T18:14:25.738393Z digest=sha256:4c96b7f93181a128321dc8277bc0e85f45aa7091aedfddba22da8f36c38d5ed8

Observation 6c38405c-dfc1-42a9-b0e8-d75ca12fbbbf · outbound

This paper cites Chowdhury, and Bernard J.

Whose Boat Does it Float? Improving Personalization in Preference Tuning via Inferred User Personas Chowdhury, and Bernard J

Reference 66

Resolution
unresolved
no resolver link, observed 2026-08-10T18:14:25.742561Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T18:14:25.742561Z digest=sha256:0bed0d2fcd1a7999dad03abdfc69d6e6c62473de52984fd9f9b3747cf1b23376

Observation 95610f78-44be-4c98-99db-777c19cebf11 · outbound

This paper cites an unresolved cited work.

Whose Boat Does it Float? Improving Personalization in Preference Tuning via Inferred User Personas Unresolved cited work

Reference 67

Resolution
unresolved
no resolver link, observed 2026-08-10T18:14:25.747847Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T18:14:25.747847Z digest=sha256:62e455b3472572d604a35a31bb46dc514cbed0512becee3d3ed94805193a3f5c

Observation f25d61d5-89af-4c54-a418-f387a799f670 · outbound

This paper cites The Prompt Report: A Systematic Survey of Prompt Engineering Techniques.

Whose Boat Does it Float? Improving Personalization in Preference Tuning via Inferred User Personas The Prompt Report: A Systematic Survey of Prompt Engineering Techniques

Reference 68

Resolution
unresolved
no resolver link, observed 2026-08-10T18:14:25.753016Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T18:14:25.753016Z digest=sha256:11c83c13da654bdebe901f271dd900cc78bcb6891129775fef898e1c33ff53b3

Observation 8447fed2-1e54-41a4-8015-f681286da818 · outbound

This paper cites an unresolved cited work.

Whose Boat Does it Float? Improving Personalization in Preference Tuning via Inferred User Personas Unresolved cited work

Reference 69

Resolution
unresolved
raw_fallback, observed 2026-08-10T18:14:26.598470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T18:14:25.757017Z digest=sha256:c51746c2bd2c293f3298deb3edb050720c6a3be06fc3f2a85f5542a75f3c2180

Observation 971a27a4-3d7b-4361-9ad4-b965375d9541 · outbound

This paper cites an unresolved cited work.

Whose Boat Does it Float? Improving Personalization in Preference Tuning via Inferred User Personas Unresolved cited work

Reference 70

Resolution
unresolved
no resolver link, observed 2026-08-10T18:14:25.760075Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T18:14:25.760075Z digest=sha256:b3715d57dc16ec6855609bbc1c4a8e11da6ffd3a4d0b8ad0b578a7ead8f009c0

Observation de19120f-d15d-4183-b472-40942a952b92 · outbound

This paper cites an unresolved cited work.

Whose Boat Does it Float? Improving Personalization in Preference Tuning via Inferred User Personas Unresolved cited work

Reference 71

Resolution
verified exact
doi, observed 2026-08-10T18:14:25.961038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T18:14:25.763521Z digest=sha256:68b667c5c85e219d87beb7807eadb29c9813088f527296729aa8b22597443550

Observation 4b1272b7-a0a9-428a-8399-62763eaf4306 · outbound

This paper cites Gordon, Niloofar Mireshghallah, Christopher Michael Rytting, Andre Ye, Liwei Jiang, Ximing Lu, Nouha Dziri, Tim Althoff, and Yejin Choi.

Whose Boat Does it Float? Improving Personalization in Preference Tuning via Inferred User Personas Gordon, Niloofar Mireshghallah, Christopher Michael Rytting, Andre Ye, Liwei Jiang, Ximing Lu, Nouha Dziri, Tim Althoff, and Yejin Choi

Reference 72

Resolution
unresolved
no resolver link, observed 2026-08-10T18:14:25.767121Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T18:14:25.767121Z digest=sha256:40ade2c8569dcd69d4c34bd6f37f8f3eaa579a07d51be530e604cc86fcbe89f4

Observation bd1eebc0-e798-466f-8e24-15a1b0f81bf3 · outbound

This paper cites an unresolved cited work.

Whose Boat Does it Float? Improving Personalization in Preference Tuning via Inferred User Personas Unresolved cited work

Reference 73

Resolution
unresolved
raw_fallback, observed 2026-08-10T18:14:26.571565Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T18:14:25.770747Z digest=sha256:d9d51f08a88a56b4e9bce1203522b4c5f8e29a70fe85c503f87bc574aea0d757

Observation 53f787ac-75ca-4816-b3f4-8ac03b5c7d1b · outbound

This paper cites an unresolved cited work.

Whose Boat Does it Float? Improving Personalization in Preference Tuning via Inferred User Personas Unresolved cited work

Reference 74

Resolution
unresolved
raw_fallback, observed 2026-08-10T18:14:26.559631Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T18:14:25.774305Z digest=sha256:0f578e8b63a3c10de03c8dcbc8c8e82e20cc3bb5204c7ca301f1dd23e7356ac2

Observation 7b74c8d1-0a0f-4141-a2e4-d42033920778 · outbound

This paper cites an unresolved cited work.

Whose Boat Does it Float? Improving Personalization in Preference Tuning via Inferred User Personas Unresolved cited work

Reference 75

Resolution
unresolved
no resolver link, observed 2026-08-10T18:14:25.779036Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T18:14:25.779036Z digest=sha256:8bda55b67b9f1dff0ac7f251bd92238f8787a4ff291e4418a6d308459416d96d

Observation c363bdf6-77a4-4ff9-8d6a-62c9e59033ba · outbound

This paper cites an unresolved cited work.

Whose Boat Does it Float? Improving Personalization in Preference Tuning via Inferred User Personas Unresolved cited work

Reference 76

Resolution
unresolved
no resolver link, observed 2026-08-10T18:14:25.782600Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T18:14:25.782600Z digest=sha256:fb12927f7bf3432e4c3f9995ec0a6b912be5a3aae37f02bed1493c805b4ff15b

Observation c1e2a3d4-c22c-4303-824e-7739cf4c41b8 · outbound

This paper cites an unresolved cited work.

Whose Boat Does it Float? Improving Personalization in Preference Tuning via Inferred User Personas Unresolved cited work

Reference 77

Resolution
unresolved
raw_fallback, observed 2026-08-10T18:14:26.547831Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T18:14:25.786442Z digest=sha256:f0a4201b63213cab41c16f2d7189e61501564de79686e3769117be74c4997713

Observation 5da76272-6a61-4f93-b9e3-09111ff34d63 · outbound

This paper cites an unresolved cited work.

Whose Boat Does it Float? Improving Personalization in Preference Tuning via Inferred User Personas Unresolved cited work

Reference 78

Resolution
unresolved
no resolver link, observed 2026-08-10T18:14:25.790756Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T18:14:25.790756Z digest=sha256:14f2c11f9d6d16d53ffaba3afc3b11f7f0e80b91cacbff4691d2c6d561f46c8a

Observation 388c8b34-686f-4aa1-a209-71d62d64bed1 · outbound

This paper cites Tutor CoPilot: A Human-AI Approach for Scaling Real-Time Expertise.

Whose Boat Does it Float? Improving Personalization in Preference Tuning via Inferred User Personas Tutor CoPilot: A Human-AI Approach for Scaling Real-Time Expertise

Reference 79

Resolution
unresolved
no resolver link, observed 2026-08-10T18:14:25.795105Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T18:14:25.795105Z digest=sha256:2773710d96ade6cb135c9598587d44900b9783739577ad430bdc790b5194bc95

Observation 76a32e93-5e18-41e8-9e90-f56888d35422 · outbound

This paper cites an unresolved cited work.

Whose Boat Does it Float? Improving Personalization in Preference Tuning via Inferred User Personas Unresolved cited work

Reference 80

Resolution
unresolved
no resolver link, observed 2026-08-10T18:14:25.799637Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T18:14:25.799637Z digest=sha256:d361bf97d744952007c277b12f743e742990cbf7815374decf07cec2c85860f8

Observation 5daa0951-2537-4923-b863-d634f4f3343c · outbound

This paper cites an unresolved cited work.

Whose Boat Does it Float? Improving Personalization in Preference Tuning via Inferred User Personas Unresolved cited work

Reference 81

Resolution
unresolved
raw_fallback, observed 2026-08-10T18:14:26.538054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T18:14:25.803207Z digest=sha256:aa8c5e80c9072f1ab5fddacd0ab42412858a2df7b012f7c4a728797f835257ab

Observation 232e0a46-fd2c-4856-9d7e-c193a9fb7059 · outbound

This paper cites Fung, Cheng Qian, Jeonghwan Kim, Dilek Hakkani-Tur, and Heng Ji.

Whose Boat Does it Float? Improving Personalization in Preference Tuning via Inferred User Personas Fung, Cheng Qian, Jeonghwan Kim, Dilek Hakkani-Tur, and Heng Ji

Reference 82

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:14:26.528348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T18:14:25.806694Z digest=sha256:44c64d6726e715af1a1636aea4857e4758ef40f5464dbe5d534ffb38abcadad1

Observation 1b964902-e420-41c8-8596-016980cd4f55 · outbound

This paper cites an unresolved cited work.

Whose Boat Does it Float? Improving Personalization in Preference Tuning via Inferred User Personas Unresolved cited work

Reference 83

Resolution
unresolved
no resolver link, observed 2026-08-10T18:14:25.810695Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T18:14:25.810695Z digest=sha256:6a3107a37bf229a370f8a7ed1be186727ad32503cf2b91159602f87f38366435

Observation 450699d9-a87c-4004-b967-96f33bdc6d44 · outbound

This paper cites Yang, Maxime Robeyns, Thomas Coste, Jun Wang, Haitham Bou Ammar, and Laurence Aitchison.

Whose Boat Does it Float? Improving Personalization in Preference Tuning via Inferred User Personas Yang, Maxime Robeyns, Thomas Coste, Jun Wang, Haitham Bou Ammar, and Laurence Aitchison

Reference 84

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:14:26.518226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T18:14:25.813682Z digest=sha256:1a44a79256e43545ccee638cb54fd5aae3ac2af457068434c8412239dc76f7e8

Observation aa24c19e-6823-4721-89d6-74d8d3c223a4 · outbound

This paper cites an unresolved cited work.

Whose Boat Does it Float? Improving Personalization in Preference Tuning via Inferred User Personas Unresolved cited work

Reference 85

Resolution
unresolved
no resolver link, observed 2026-08-10T18:14:25.817086Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T18:14:25.817086Z digest=sha256:fc0004d0abd746ffe73417529bd04361a122238de9bd12a1cc02938f332114a7

Observation d45175d1-f625-4554-9a7d-2c8ea09e0959 · outbound

This paper cites an unresolved cited work.

Whose Boat Does it Float? Improving Personalization in Preference Tuning via Inferred User Personas Unresolved cited work

Reference 86

Resolution
unresolved
raw_fallback, observed 2026-08-10T18:14:26.507529Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T18:14:25.820383Z digest=sha256:53ab64fddece697afc7492778603d150cde29e8beecc16502a95035de8aaff97

Observation 92260c5b-ddc2-49e9-9b82-c51dd012ebc8 · outbound

This paper cites SPRIG: Improving Large Language Model Performance by System Prompt Optimization.

Whose Boat Does it Float? Improving Personalization in Preference Tuning via Inferred User Personas SPRIG: Improving Large Language Model Performance by System Prompt Optimization

Reference 87

Resolution
unresolved
no resolver link, observed 2026-08-10T18:14:25.823425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T18:14:25.823425Z digest=sha256:86efc652e07d314538f800ac3d9ca82113282ce7b4cbfc4fb5a299d357dfdada

Observation 337a0a79-6fd1-4165-9a72-1c502695d8ed · outbound

This paper cites an unresolved cited work.

Whose Boat Does it Float? Improving Personalization in Preference Tuning via Inferred User Personas Unresolved cited work

Reference 88

Resolution
unresolved
no resolver link, observed 2026-08-10T18:14:25.827083Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T18:14:25.827083Z digest=sha256:d16b3abeea203572c205a97f4474922b5735bfb0e90722a466d63d03436b5569

Observation 90a13f46-65fa-44dc-9837-f34d98f63a40 · outbound

This paper cites Personalization of Large Language Models: A Survey.

Whose Boat Does it Float? Improving Personalization in Preference Tuning via Inferred User Personas Personalization of Large Language Models: A Survey

Reference 89

Resolution
unresolved
no resolver link, observed 2026-08-10T18:14:25.830632Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T18:14:25.830632Z digest=sha256:0aa64ab371f2ece22729bc6337b7278d2a9c42b154398a40c0ce87a705dfef64

Observation 664c85d3-5852-452a-9ea3-d93d8aa7131f · outbound

This paper cites an unresolved cited work.

Whose Boat Does it Float? Improving Personalization in Preference Tuning via Inferred User Personas Unresolved cited work

Reference 90

Resolution
unresolved
no resolver link, observed 2026-08-10T18:14:25.834360Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T18:14:25.834360Z digest=sha256:43270ded258204224e3f58b2966ec4f4a012c6b371fcd20e0fe7d6bf395414da

Observation 5beb37e3-c85e-4d2c-a1c6-a9c16fe05981 · outbound

This paper cites an unresolved cited work.

Whose Boat Does it Float? Improving Personalization in Preference Tuning via Inferred User Personas Unresolved cited work

Reference 91

Resolution
unresolved
no resolver link, observed 2026-08-10T18:14:25.838224Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T18:14:25.838224Z digest=sha256:eb8de5004824ca4c1169af12a1c2f78c5864d96fb3d008d63df3e3916226ba17

Observation a5bc3bec-3d04-4113-bc92-39e1c1d5ae99 · outbound

This paper cites an unresolved cited work.

Whose Boat Does it Float? Improving Personalization in Preference Tuning via Inferred User Personas Unresolved cited work

Reference 92

Resolution
unresolved
no resolver link, observed 2026-08-10T18:14:25.841720Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T18:14:25.841720Z digest=sha256:04c11338180b65f4f1ff4be718227d45f79a8f826b836191a0f75cbc1fcb4b6f

Observation fccf4654-54d0-408f-84be-78b4f3f7a7bb · outbound

This paper cites an unresolved cited work.

Whose Boat Does it Float? Improving Personalization in Preference Tuning via Inferred User Personas Unresolved cited work

Reference 93

Resolution
unresolved
no resolver link, observed 2026-08-10T18:14:25.846352Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T18:14:25.846352Z digest=sha256:2eae5f6c0b451673cd06f203cec091184ee966017b2e50288313cb7e75ef3f9a

Observation de869b9c-bb60-4c90-b9ca-ecc408a4276a · outbound

This paper cites an unresolved cited work.

Whose Boat Does it Float? Improving Personalization in Preference Tuning via Inferred User Personas Unresolved cited work

Reference 94

Resolution
unresolved
raw_fallback, observed 2026-08-10T18:14:26.489531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T18:14:25.850020Z digest=sha256:bc97cedc5bed829d5a6bdfeb9df46309754e995cf733ae1a0fb6c9114fd64d8f

Observation b23418b5-da9e-4565-a2ce-007318a6bd7e · outbound

This paper cites an unresolved cited work.

Whose Boat Does it Float? Improving Personalization in Preference Tuning via Inferred User Personas Unresolved cited work

Reference 95

Resolution
unresolved
raw_fallback, observed 2026-08-10T18:14:26.477145Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T18:14:25.853796Z digest=sha256:34c8afab484e2b2d928444e171635e3743319600815ec45090ddf692c23708de

Observation 545f3c63-f1e4-471f-8367-49e40da9e81b · outbound

This paper cites URL: " 'urlintro :=.

Whose Boat Does it Float? Improving Personalization in Preference Tuning via Inferred User Personas URL: " 'urlintro :=

Reference 96

Resolution
unresolved
no resolver link, observed 2026-08-10T18:14:25.857789Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T18:14:25.857789Z digest=sha256:693ede7c0307eea82057302226ee3e81eb19de260cf4e05d3db1815725b68205

Observation 8e484a7f-ba47-4832-8a07-7b8c4ec245e3 · outbound

This paper cites write newline.

Whose Boat Does it Float? Improving Personalization in Preference Tuning via Inferred User Personas write newline

Reference 97

Resolution
unresolved
no resolver link, observed 2026-08-10T18:14:25.862391Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T18:14:25.862391Z digest=sha256:96f29a559edfe06156ca6af74d1bf61034a33d3eee68eaa02b7165188f557edb

Pith citing papers

No inbound Pith citation observations are available.