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Paper Citation Record · LEDGER

Prompt Tuning Large Language Models on Personalized Aspect Extraction for Recommendations

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2306.01475.

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

pith.paper-citation-record.v1
2306.01475 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T13:27:24.235800Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T03:05:20.815041Z

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 507a0052-b100-4b73-bcd0-824b0f94891a · inbound

Can Explanations Improve Recommendations? Evidence from Prediction-Informed Explanations cites this paper.

Can Explanations Improve Recommendations? Evidence from Prediction-Informed Explanations Prompt Tuning Large Language Models on Personalized Aspect Extraction for Recommendations

Reference 53

Resolution
verified exact
arxiv_id, observed 2026-05-23T03:05:20.817881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-23T03:03:09.697466Z digest=sha256:e8c7e6ba5456d6dce6183a32778c4deb5dd6efe8d65b48bc1a5250fc1e741354

Observation 3b6d7c57-3d09-4bcf-88f3-8d2cf732ea4b · 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 Prompt Tuning Large Language Models on Personalized Aspect Extraction for Recommendations

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-05T13:27:24.235800Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:27:24.235800Z digest=sha256:270dd85659cd3f2f0cb91e4600bf7653003604f699315ef71052bda79e4af3cf