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Paper Citation Record · LEDGER

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

As of 15 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 2026-08-14T06:32:32.682623+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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source=arxiv_source observed=2026-08-10T18:14:25.501111Z digest=sha256:738055ab1e5b15ac6d164bcf92209b342b8e08572173f3aaefaa336fcd9de8ff

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=sha256:9dc80749563f9c0511bb7f280ace4d75000297e146121a861c5026716457d39d

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=sha256:835f3c751aad21d4f02496a578b42442bfefb350dcd0fc72b26326dba073d50e

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=sha256:2100750148381c88024b6c042908cb23baba3ffdec2eecf5899b78754db69475

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=sha256:5f8093e9b96c16ae9e05ef9dd54d160afabf75cebc9cf206ffdcdfee2aaeb3fc

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:c1a8653bed345449c18693b0caab0f8eedc7b3f5e7bf821c136def336a1bf6b9

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+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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source=arxiv_source observed=2026-08-10T18:14:25.555656Z digest=sha256:e5e5ce020793ff9c29312bfddcb963f59657ddc16158da737ed54d07574cca9d

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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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:d97d1fae9c126e2032ae099f249d39d6a7d74fe88e246967061546ca6e12c146

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

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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=sha256:432aa6f2bd5eacaa390304c883d67455e4ef81dafc7a74fdbbe8f8ce88ed1921

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

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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=sha256:9c7752d9fe2ac5efb757f20c044ba005d37b2d27fd4e128bad67e27e3c0a4345

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=sha256:920f3c44de90b4a03a588ff616a33b76363bae111c7a9114d54560c0b898fe96

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

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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=sha256:5caf42956f7e9bae5a354cb6c5cfeeb6a7e4b8f0ff63ff2b7a03eb6eb3bc2054

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T18:14:25.657788Z digest=sha256:78adcf68087d9daaa62f30595aadfd4f742c5e7fe49893d5c100cbb1148dc053

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

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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=sha256:4522b282f76fadbc9524fd55ec5eb1b38245950678814690cd5b05005db6ddeb

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T18:14:25.665236Z digest=sha256:f3d8cc54a8c987789d99297a72d2dca1a870a92fd5acd76da6e5eebd8a7bd4a8

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T18:14:25.668997Z digest=sha256:2b0a8ea6acf926e69c805ce3699459d1341f196507a7b2032a5637509e36fb85

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T18:14:25.672856Z digest=sha256:c0d6bda0f3b1af2163a0a796fcb8eee29ae091eefbd3269d42cc410aa5b56996

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T18:14:25.676947Z digest=sha256:a73f7f40e670bb13d37482b9fbbc2957111bfdb5f407d5b688845662055abf78

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=sha256:60cdcb6ade8a1dfafae7a632cdf124fcd7e2666394a5ccdf754c90a4ccc6dabf

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T18:14:25.685782Z digest=sha256:1ac34851e81aff863d2b57bdec3754ab4ee0ffd10d3597124ba327d8cf1f1e13

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=sha256:5aadb43ddf1d504993ff00a80ad16cbbc52c07272ef3b0e7ed7de8925e95e076

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T18:14:25.693742Z digest=sha256:c71eb45b2ef89b0b7e2d92dc15a920efb32dbb0d3641e744fee93ae9741add0d

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

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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:c16052a2beab44abc12a71236019be89dbb16bba949e84376bd325b674cb4570

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=sha256:37184eaa08ecd75c34a66c08fdd9d82c5788f688d44623d2d26acbe177a9e7e7

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T18:14:25.704588Z digest=sha256:961e62dae32b3099dd26cb19afa6da2eb786f1336f4c3e9db1440c9912385243

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:f5dc3c8bf3143a2a846e2b25d83a572da652d63b727317a4e345c2888d848cef

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T18:14:25.712130Z digest=sha256:2cb854b2cb921b8afeaa8248919d10cc5bdfe3b84cc788075f9a62e3f635362b

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T18:14:25.716072Z digest=sha256:a30820b779a11da4aae7d989984e9da43661be1eb2e7908bc97fff6ab289005b

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T18:14:25.719603Z digest=sha256:c79e2ea9911441f1c6c4e259e1d12f1558fe9e6545a4af6ffc422943da443aea

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T18:14:25.723622Z digest=sha256:db2204b2c1d0b10dd5c76995001c0532c5e4befe1bb77482b72a82df392d38df

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T18:14:25.727333Z digest=sha256:bb08466bd2b6085d68497db0a9c7809ba7f3e9b11e943391fbaa4a03e0a30908

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=sha256:81a10e1d4ce2c7a5eb5be2a8d2c8c0bb110ccb25f401fc7dc3d1aa09581e7afc

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=sha256:212cbefac9f5c1cae2a38054a764af97e89848d709c9b311e57e19b53f784276

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=sha256:1c6e89cb0075fede8fb752fbe6404915b509e2b4466faa34de20d72810bf85d4

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:a04215bf5b9867086ff7e2f4c032cfe671280c63f38d29004fea72695904437f

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:e11ddd5c008a28492fec4ba065ff715103e9053be576f7b6ff2b3cca1c84cdb2

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

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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:aa2930281e54dac9ddfc02316a972ec0c2013b92dddba23b8a4694d494e5df81

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T18:14:25.757017Z digest=sha256:6c2cb4d06a0d2db8df9a18bbf4ceb08715ffc7775ac124dd488424490bd056a0

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:fa6b462274f0459b271f4550ab9d7d28c19d0ea4b988aa471689d3e499592563

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T18:14:25.763521Z digest=sha256:7d351061540a28cf58ccd7dcfbaafaadf9f0390b7784da4d2713bac93545378d

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=sha256:338e118c2b31ecdef66976347c57eada6d81c1a78e39615c7008db5f23fed932

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T18:14:25.770747Z digest=sha256:7fa03e80fc0f89179d3cb085002d304b2bac0120feae154615012f6e486c7a1b

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T18:14:25.774305Z digest=sha256:8878f85c459bd0430e67ab4da95b1cf41e70a7d303d512b0be07638c98ae7765

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:c32dd6e95211583857711d6424d60aa8de5eca1ccbab46b5d5e4cb7efd09c496

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=sha256:38859fbe5a5ee4bf9befe2633882f71f8cd823c97fce99a8acab9f8be34cd3ad

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T18:14:25.786442Z digest=sha256:d3482905135ab41ab35aa82658c7593c092b354b016407ab92fbc2259d9dcd2f

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=sha256:74c52ce5d8f60c7e9a0d40114499bae4c0aaf3f6d97176944213c151e1c6b4c3

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:ecb386bd72f5b69a9ae40063b34dd910f8c2630fbf4c67f72ef7d05667c44610

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:d5e96ea30dbb3d773a605c623cebacab064ed01f2f7db4b399badf1a37fe843a

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T18:14:25.803207Z digest=sha256:ecb69887094bfc977f98bdd3d7b824d9cc432c6c00cadfdf537fdb4711790551

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T18:14:25.806694Z digest=sha256:221f6759ebbe7bb60217e5fb0bb55e1bb3ab60d9ecdf8def49d88a5807deccba

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:fca26653e226692f1b451e4f03c0f185c24d77a0240f84703447bc563c8b16a4

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T18:14:25.813682Z digest=sha256:bd317526c509113497f5e15a02284142b5fd72bf23b6a347596fb5359259f715

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:ee61494a100c2c3fdc8684280d37f36f24105c345ddce4baa5f6eb005fcc0449

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T18:14:25.820383Z digest=sha256:05369ea753500adf71f34e24528ba7816a7b40fa0b77fdb7a453fcc2a829efd4

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:a0fb3a24103b66679a4a7e97226329d01e63b32c874af2691d5f2e7455eb344b

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:e59fdd5f3327e224c16a2b83ad9c3050a1d2738d517d2df92256ef90c5f73313

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:d71aed5dd98fd1e006b69f342a209993d52ebb162a652672d6b0938c813fd35f

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=sha256:55c4dca0d40b6748491ec835bbac59dcd1816d2b75c2ad96d686adef44c7580c

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=sha256:2730e360452e46d00a263ccb31a35e65922f640c721c7e347b9a6b49d2f39d9b

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=sha256:0156363851316a2085f5b4cc689d26b8e7f25acc4746123716a099f3b71d57f0

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=sha256:1d50e84437c168d82c47b30da5dbedb669bc8287ce17ef600a79ba007bec75a2

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T18:14:25.850020Z digest=sha256:615e0beecc83b7ff20c6b6e121385779edea87ec3918ee2aa41065ba04e4108e

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T18:14:25.853796Z digest=sha256:b87e3723c0ad3fefc530c16df7288e7436d2761a52616e9620153c9895a57026

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:c35318d950b0173cb1479466740cb2f74834639766071fd2209ca2aa0ecb36ea

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:b86c92ec611e8562615fefeda9c1480ddf8733097d287dddc42cc1e5e251ebd6

Pith citing papers

No inbound Pith citation observations are available.