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Paper Citation Record · LEDGER

SELF: Surrogate-light Feature Selection with Large Language Models in Deep Recommender Systems

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2412.08516.

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

pith.paper-citation-record.v1
2412.08516 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 1 of 1 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T05:32:57.543993Z

measured 0 of 1 external citation measurements

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

Source: cited_works

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 029203a4-5f88-434c-8549-5e12bcd893dd · inbound

Hippasus: Effective and Efficient Automatic Feature Augmentation for Machine Learning Tasks on Relational Data cites this paper.

Hippasus: Effective and Efficient Automatic Feature Augmentation for Machine Learning Tasks on Relational Data SELF: Surrogate-light Feature Selection with Large Language Models in Deep Recommender Systems

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-03T05:32:57.543993Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T05:32:57.543993Z digest=sha256:54a3c0aa557d7056ee90e1c186b53ab5de76bc23a28a41dbd4e6ca2331dc8ca1