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Paper Citation Record · LEDGER

Personalized Pieces: Efficient Personalized Large Language Models through Collaborative Efforts

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2406.10471.

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

pith.paper-citation-record.v1
2406.10471 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T13:31:41.372335Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T18:28:48.359648Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 7a2fa878-45ad-4af3-ab2e-7a82b501cf56 · inbound

AI PERSONA: Towards Life-long Personalization of LLMs cites this paper.

AI PERSONA: Towards Life-long Personalization of LLMs Personalized Pieces: Efficient Personalized Large Language Models through Collaborative Efforts

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-11T13:31:41.372335Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T13:31:41.372335Z digest=sha256:7656430cbf643616d6a653141517917b2464452b4929fee4a14e548581b1e698

Observation 66acbbd1-a302-441f-8758-8f69dff69721 · inbound

Reasoning-Enhanced Self-Training for Long-Form Personalized Text Generation cites this paper.

Reasoning-Enhanced Self-Training for Long-Form Personalized Text Generation Personalized Pieces: Efficient Personalized Large Language Models through Collaborative Efforts

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-10T21:42:44.141570Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T21:42:44.141570Z digest=sha256:b28134f4f77b9cd880c861e451b048130c6023a1f346b95459a52e13bcc1f8a2

Observation b0ebb297-64ca-4951-bc58-c3e43ad88cb7 · inbound

Can Large Language Models Understand Preferences in Personalized Recommendation? cites this paper.

Can Large Language Models Understand Preferences in Personalized Recommendation? Personalized Pieces: Efficient Personalized Large Language Models through Collaborative Efforts

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-10T16:17:33.745502Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T16:17:33.745502Z digest=sha256:f12b4fd2dc284cc9d1d9dd2d0230253bf712d71a8d29680412681a64f4dafc6d

Observation e685e73d-7404-4040-a9f7-cb364ef4f7c7 · inbound

ExPerT: Effective and Explainable Evaluation of Personalized Long-Form Text Generation cites this paper.

ExPerT: Effective and Explainable Evaluation of Personalized Long-Form Text Generation Personalized Pieces: Efficient Personalized Large Language Models through Collaborative Efforts

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-10T14:51:43.605928Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T14:51:43.605928Z digest=sha256:b96a7f3621044194251c531b1e32866c41218b9abec17bfb2da87dc45816e719

Observation 6dc1ce23-e30d-4b35-8c77-833a5ecce85a · inbound

Modeling and Optimizing User Preferences in AI Copilots: A Comprehensive Survey and Taxonomy cites this paper.

Modeling and Optimizing User Preferences in AI Copilots: A Comprehensive Survey and Taxonomy Personalized Pieces: Efficient Personalized Large Language Models through Collaborative Efforts

Reference 87

Resolution
unresolved
no resolver link, observed 2026-08-07T13:24:29.738328Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:24:29.738328Z digest=sha256:cc1c98360ad46db3828204a12101f88ae088f3de0440f7294281db75293e3816

Observation a8360dfd-2f95-4dfb-a390-45ed73bd1810 · inbound

Personalised Explanations in Long-term Human-Robot Interactions cites this paper.

Personalised Explanations in Long-term Human-Robot Interactions Personalized Pieces: Efficient Personalized Large Language Models through Collaborative Efforts

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-06T20:32:07.657439Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:32:07.657439Z digest=sha256:e0f50f53feea481495e0dd4265f88639dd8315ab1c283c3a51a87d2540713a0f

Observation 17c99d82-866a-439a-8b49-f3756aa5a69e · inbound

Learning from Natural Language Feedback for Personalized Question Answering cites this paper.

Learning from Natural Language Feedback for Personalized Question Answering Personalized Pieces: Efficient Personalized Large Language Models through Collaborative Efforts

Reference 36

Resolution
verified exact
arxiv_id, observed 2026-05-18T22:56:53.039940Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-18T22:55:16.228037Z digest=sha256:12d29bcd856a5678395f800644d074d641951d093097c89bbd84b40b6b006419

Observation f9cf2a11-1504-4aab-b5d1-3f1261de6548 · inbound

LATTE: Forecasting Peer Anchored Preference Trajectories for Personalized LLM Generation cites this paper.

LATTE: Forecasting Peer Anchored Preference Trajectories for Personalized LLM Generation Personalized Pieces: Efficient Personalized Large Language Models through Collaborative Efforts

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-06-29T18:43:50.804838Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-06-29T18:36:50.012434Z digest=sha256:3f5931f818e7d3ce276b180b92510015d85fbb5bb86c263de2634e10a1bf788a

Observation ee8449ec-f223-47ab-abef-40616069a8f7 · inbound

Beyond Retrieval: Learning Compact User Representations for Scalable LLM Personalization cites this paper.

Beyond Retrieval: Learning Compact User Representations for Scalable LLM Personalization Personalized Pieces: Efficient Personalized Large Language Models through Collaborative Efforts

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-07-02T11:16:53.484570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-06-28T04:22:31.760823Z digest=sha256:df1d7073a34c68d4d0a854389f510aadc4a6ef632a2aaf3ff3ca517adcb13a73

Observation b4b91878-9e1b-4553-a74d-17c85dd59387 · inbound

CoPersona: Collaborative Persona Graphs for Robust LLM Personalization cites this paper.

CoPersona: Collaborative Persona Graphs for Robust LLM Personalization Personalized Pieces: Efficient Personalized Large Language Models through Collaborative Efforts

Reference 63

Resolution
verified exact
arxiv_id, observed 2026-07-03T18:28:48.361794Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-07-03T18:20:53.930801Z digest=sha256:64144eaae422539ab47174f64d41433e13d0d9db6d438f98543e146978d1d592