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Paper Citation Record · LEDGER

The Application of Large Language Models in Recommendation Systems

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2501.02178.

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

pith.paper-citation-record.v1
2501.02178 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:22:28.771101Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T18:40:09.240121Z

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 4fb61f7c-7a11-499e-8fb6-b46bf1317ec8 · inbound

When Transformers Meet Recommenders: Integrating Self-Attentive Sequential Recommendation with Fine-Tuned LLMs cites this paper.

When Transformers Meet Recommenders: Integrating Self-Attentive Sequential Recommendation with Fine-Tuned LLMs The Application of Large Language Models in Recommendation Systems

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-06T19:22:28.771101Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:22:28.771101Z digest=sha256:02d82c9ff6b603b7e6b85f50dfa1fadb8dc8c321b0b5c84f8df4d88b22b6c98a

Observation cb2e7de0-e5db-4ec8-a385-470d767990f0 · inbound

Pre-Trained AI Model Assisted Online Decision-Making under Missing Covariates: A Theoretical Perspective cites this paper.

Pre-Trained AI Model Assisted Online Decision-Making under Missing Covariates: A Theoretical Perspective The Application of Large Language Models in Recommendation Systems

Reference 22

Resolution
verified exact
local_arxiv, observed 2026-08-06T18:40:09.322157Z

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=2026-08-06T18:40:08.269046Z digest=sha256:64f3808a9d7d2fc8e3965aeb0eb5ccb6d7e3ff6f277606c1bc5dc48308f6ce38

Observation 3803e35f-a8e3-4779-97f6-e1042e47c182 · inbound

Optimizing the Preconditioner: A Black-box Online-to-Nonconvex Conversion with Static Regret Minimization Oracles cites this paper.

Optimizing the Preconditioner: A Black-box Online-to-Nonconvex Conversion with Static Regret Minimization Oracles The Application of Large Language Models in Recommendation Systems

Reference 181

Resolution
unresolved
no resolver link, observed 2026-08-01T17:38:06.471187Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T17:38:06.471187Z digest=sha256:3d23190e252209414a253eca1ce1dcbaf0e9c76f6dae5a5bb88213a9ca3beec6