Paper Citation Record · LEDGER

CURP: Codebook-based Continuous User Representation for Personalized Generation with LLMs

As of 7 August 2026, this Paper Citation Record lists 6 of 6 outbound references and 2 inbound Pith citation observations for arXiv:2602.00742.

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

pith.paper-citation-record.v1
2602.00742 v2

Coverage vector

measured 6 of 6 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T06:00:31.372749Z

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-13T06:47:40.850966Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-09T22:16:36.499283Z

Reference resolution

6 of 6 outbound references displayed

verified exact0
verified fuzzy0
unresolved6
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 78847038-dbf6-4e44-99a1-f39b5393c6ef · outbound

This paper cites Does Donald Trumpgen- uinely think.

CURP: Codebook-based Continuous User Representation for Personalized Generation with LLMs Does Donald Trumpgen- uinely think

Reference 1951

Resolution: unresolved; no resolver link, observed 2026-08-03T06:00:31.372749Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 32433d29-692a-4ba9-8ed1-d2402c47067e · outbound

This paper cites Personalizing Reinforcement Learning from Human Feedback with Variational Preference Learning.

CURP: Codebook-based Continuous User Representation for Personalized Generation with LLMs Personalizing Reinforcement Learning from Human Feedback with Variational Preference Learning

Reference 2003

Resolution: unresolved; no resolver link, observed 2026-08-03T06:00:31.291700Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 96fdab51-8407-45e1-a019-ac38b2f3673b · outbound

This paper cites LongLaMP: A Benchmark for Personalized Long-form Text Generation.

CURP: Codebook-based Continuous User Representation for Personalized Generation with LLMs LongLaMP: A Benchmark for Personalized Long-form Text Generation

Reference 2010

Resolution: unresolved; no resolver link, observed 2026-08-03T06:00:31.211257Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 79b7777e-ad3d-4a7f-8653-5b8e8cafa59b · outbound

This paper cites InProceedings of the 24th international conference on world wide web, pages 278–288.

CURP: Codebook-based Continuous User Representation for Personalized Generation with LLMs InProceedings of the 24th international conference on world wide web, pages 278–288

Reference 2015

Resolution: unresolved; no resolver link, observed 2026-08-03T06:00:31.089888Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2d8a0023-3939-44d7-8b8d-5be49e1bff3a · outbound

This paper cites A Survey on User Behavior Modeling in Recommender Systems.

CURP: Codebook-based Continuous User Representation for Personalized Generation with LLMs A Survey on User Behavior Modeling in Recommender Systems

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-03T06:00:31.164035Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 492a8d06-f8d4-408e-8271-05d6b1b5fe1f · outbound

This paper cites OneRec: Unifying Retrieve and Rank with Generative Recommender and Iterative Preference Alignment.

CURP: Codebook-based Continuous User Representation for Personalized Generation with LLMs OneRec: Unifying Retrieve and Rank with Generative Recommender and Iterative Preference Alignment

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-03T06:00:31.008406Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation e6337488-b3bd-425c-984a-28eb6e7ff1c8 · inbound

Large Behavior Model: A Promptable Digital Twin of the Retail Customer cites this paper.

Large Behavior Model: A Promptable Digital Twin of the Retail Customer CURP: Codebook-based Continuous User Representation for Personalized Generation with LLMs

Reference 34

Resolution: verified exact; local_arxiv, observed 2026-07-09T22:16:36.502195Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation bc635304-7496-4151-bebe-3ee1240e65c8 · inbound

Large Behavior Model: A Promptable Digital Twin of the Retail Customer cites this paper.

Large Behavior Model: A Promptable Digital Twin of the Retail Customer CURP: Codebook-based Continuous User Representation for Personalized Generation with LLMs

Reference 34

Resolution: unresolved; no resolver link, observed 2026-07-13T06:47:40.850966Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.