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Paper Citation Record · LEDGER

Large Language Models Make Sample-Efficient Recommender Systems

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2406.02368.

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

pith.paper-citation-record.v1
2406.02368 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 2026-08-16T06:30:59.297886+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T19:20:55.744472Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-11T13:11:49.585329Z

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 41c3e047-367e-49a7-a4e6-9cc001c65ef2 · inbound

Large Language Model Enhanced Recommender Systems: A Survey cites this paper.

Large Language Model Enhanced Recommender Systems: A Survey Large Language Models Make Sample-Efficient Recommender Systems

Reference 38

Resolution
verified exact
local_arxiv, observed 2026-08-11T13:11:49.589373Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T13:11:48.627774Z digest=sha256:5b3b69086665d10bf30070cf443d7554c5916a6b28b0fdc5d74291557bba8054

Observation 0ec01afa-aff1-4624-9356-05a1fef2608a · inbound

From Data to Knowledge: Evaluating How Efficiently Language Models Learn Facts cites this paper.

From Data to Knowledge: Evaluating How Efficiently Language Models Learn Facts Large Language Models Make Sample-Efficient Recommender Systems

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-15T19:20:55.744472Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T19:20:55.744472Z digest=sha256:bc6110908774aea49675718cb7179706b31d4ed6952938ca5f879b57d327917a