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Paper Citation Record · LEDGER

Improving LLM-powered Recommendations with Personalized Information

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2502.13845.

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

pith.paper-citation-record.v1
2502.13845 v2

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 2026-08-07T14:39:31.197201Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T16:27:23.400163Z

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 42782506-841f-4cdc-b4aa-fd56f3d737a9 · inbound

Bidirectional Knowledge Distillation for Enhancing Sequential Recommendation with Large Language Models cites this paper.

Bidirectional Knowledge Distillation for Enhancing Sequential Recommendation with Large Language Models Improving LLM-powered Recommendations with Personalized Information

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-07T14:39:31.197201Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:39:31.197201Z digest=sha256:e4ecf2ddd8fc7ae0843ca3f2be8fa0cca70c57e74170bad1bd57a227d32bc411

Observation 6383774f-7cef-4cab-8b27-b5cbcac049d0 · inbound

Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation cites this paper.

Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation Improving LLM-powered Recommendations with Personalized Information

Reference 32

Resolution
verified exact
local_arxiv, observed 2026-08-06T16:27:23.405514Z

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=pdf_text observed=2026-08-06T16:27:23.133139Z digest=sha256:7812984051f371ac236d7fbbc2707297f97a604f42ce19b7d0a262fb78032a6f