Paper Citation Record · LEDGER

When Large Language Models Meet Personalization: Perspectives of Challenges and Opportunities

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2307.16376.

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

pith.paper-citation-record.v1
2307.16376 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T15:03:43.584808Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-13T09:29:27.674832Z

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 0a2107e1-d7ed-4fc5-a873-ca413bbafd4f · inbound

OS-ATLAS: A Foundation Action Model for Generalist GUI Agents cites this paper.

OS-ATLAS: A Foundation Action Model for Generalist GUI Agents When Large Language Models Meet Personalization: Perspectives of Challenges and Opportunities

Reference 87

Resolution: verified exact; arxiv_id, observed 2026-05-13T09:29:27.678285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation cfaecaa6-4d9a-4e6a-8923-f0de21b65476 · inbound

LIBER: Lifelong User Behavior Modeling Based on Large Language Models cites this paper.

LIBER: Lifelong User Behavior Modeling Based on Large Language Models When Large Language Models Meet Personalization: Perspectives of Challenges and Opportunities

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-12T15:03:43.584808Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dc18047e-e944-464f-b6c6-a2a5c3df8d3e · inbound

Large Language Model driven Policy Exploration for Recommender Systems cites this paper.

Large Language Model driven Policy Exploration for Recommender Systems When Large Language Models Meet Personalization: Perspectives of Challenges and Opportunities

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-10T15:39:56.385678Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a7b8571b-43b6-4aff-b1c8-3a6987727fee · inbound

Large Language Model-Enhanced Reinforcement Learning for Diverse and Novel Recommendations cites this paper.

Large Language Model-Enhanced Reinforcement Learning for Diverse and Novel Recommendations When Large Language Models Meet Personalization: Perspectives of Challenges and Opportunities

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T13:06:32.314209Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4484caeb-590a-426f-a361-e9194728a7e9 · inbound

TrackRec: Iterative Alternating Feedback with Chain-of-Thought via Preference Alignment for Recommendation cites this paper.

TrackRec: Iterative Alternating Feedback with Chain-of-Thought via Preference Alignment for Recommendation When Large Language Models Meet Personalization: Perspectives of Challenges and Opportunities

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-05T18:02:16.800635Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 439901cc-84d0-453c-9d99-70f109fdbf75 · inbound

Personas within Parameters: Fine-Tuning Small Language Models with Low-Rank Adapters to Mimic User Behaviors cites this paper.

Personas within Parameters: Fine-Tuning Small Language Models with Low-Rank Adapters to Mimic User Behaviors When Large Language Models Meet Personalization: Perspectives of Challenges and Opportunities

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-05T19:08:28.316515Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d8f4be78-e69b-439a-8c29-61a25c93bf48 · inbound

Modular Representation Compression: Adapting LLMs for Efficient and Effective Recommendations cites this paper.

Modular Representation Compression: Adapting LLMs for Efficient and Effective Recommendations When Large Language Models Meet Personalization: Perspectives of Challenges and Opportunities

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-11T12:06:04.868348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.