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Paper Citation Record · LEDGER

Review-driven Personalized Preference Reasoning with Large Language Models for Recommendation

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2408.06276.

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

pith.paper-citation-record.v1
2408.06276 v5

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T13:27:24.221781Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T02:45:19.274481Z

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 4e805e48-8a3a-4985-bf81-bdedc1fc5cdb · inbound

LLM-based User Profile Management for Recommender System cites this paper.

LLM-based User Profile Management for Recommender System Review-driven Personalized Preference Reasoning with Large Language Models for Recommendation

Reference 27

Resolution
verified exact
arxiv_id, observed 2026-05-23T02:45:19.276709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-23T02:45:16.107117Z digest=sha256:4b155bd25bd610c03ffbe5da1d90f8ab5ac89fd69daa20f8916829958d03ce7a

Observation 48d10e89-e9ed-4983-8f52-84dc981d37e2 · inbound

Learning to Shop Like Humans: A Review-driven Retrieval-Augmented Recommendation Framework with LLMs cites this paper.

Learning to Shop Like Humans: A Review-driven Retrieval-Augmented Recommendation Framework with LLMs Review-driven Personalized Preference Reasoning with Large Language Models for Recommendation

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-05T13:27:24.221781Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:27:24.221781Z digest=sha256:0919e9456797ca62e57dbf6c75d82e4440734e91046a8817e6b502b848f99ed4

Observation 45302567-4d8a-4922-aaa7-4aeaaa04c263 · inbound

Accelerating Reinforcement Learning Algorithms Convergence using Pre-trained Large Language Models as Tutors With Advice Reusing cites this paper.

Accelerating Reinforcement Learning Algorithms Convergence using Pre-trained Large Language Models as Tutors With Advice Reusing Review-driven Personalized Preference Reasoning with Large Language Models for Recommendation

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-04T20:49:37.790674Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T20:49:37.790674Z digest=sha256:31bbe593584e2ed9fe43665259fde9798e754c4f0a04937d6c4e89fb4001aac5

Observation f8c9ef2d-9baa-482b-b84e-116e0807b3be · inbound

Why Thinking Hurts: Diagnosing and Rectifying Linguistic Inertia in Large Language Models for Recommendation cites this paper.

Why Thinking Hurts: Diagnosing and Rectifying Linguistic Inertia in Large Language Models for Recommendation Review-driven Personalized Preference Reasoning with Large Language Models for Recommendation

Reference 13

Resolution
malformed identifier
no resolver link, observed 2026-08-02T22:31:33.889833Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T22:31:33.889833Z digest=sha256:c4b632d3bfd9dc5b14826a22f3b8c1302aa730ff8c8584e724519d4ff33a42e6

Observation 0d5cd479-668a-4820-9d3c-b9c6de828650 · inbound

Bridging the Information Gap: Semantic Densification and Hindsight Distillation for Cold-Start Prediction cites this paper.

Bridging the Information Gap: Semantic Densification and Hindsight Distillation for Cold-Start Prediction Review-driven Personalized Preference Reasoning with Large Language Models for Recommendation

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-01T19:13:15.162746Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T19:13:15.162746Z digest=sha256:e405a1fe9df1c5209e882a0e9bb7d45d470437d77301f9fd79d9309ffbf12291