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Paper Citation Record · LEDGER

Large Language Model Enhanced Hard Sample Identification for Denoising Recommendation

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2409.10343.

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

pith.paper-citation-record.v1
2409.10343 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T08:56:27.387573Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-28T18:42:29.241588Z

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 87628b85-03e4-4782-9f26-0a7044a06535 · inbound

VoteGCL: Enhancing Graph-based Recommendations with Majority-Voting LLM-Rerank Augmentation cites this paper.

VoteGCL: Enhancing Graph-based Recommendations with Majority-Voting LLM-Rerank Augmentation Large Language Model Enhanced Hard Sample Identification for Denoising Recommendation

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-05-19T03:32:01.369269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-19T03:31:10.653530Z digest=sha256:9d1433f269c6c55782a52f5b564e1c341e2b7754a58e2e2960f11fc032614853

Observation f42bd083-2952-4566-b711-73a790606550 · inbound

A Survey on Generative Recommendation: Data, Model, and Tasks cites this paper.

A Survey on Generative Recommendation: Data, Model, and Tasks Large Language Model Enhanced Hard Sample Identification for Denoising Recommendation

Reference 156

Resolution
verified exact
arxiv_id, observed 2026-05-18T03:50:52.096930Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-18T03:47:08.208082Z digest=sha256:70c7e1d74babb45a7c1bb5ffaf580e7ff9c3cd3ff1f6abce45a0f986759bc5b5

Observation 25ca0683-87c3-4d9f-bc85-c061078858ff · inbound

Disagreement as Signals: Dual-view Calibration for Sequential Recommendation Denoising cites this paper.

Disagreement as Signals: Dual-view Calibration for Sequential Recommendation Denoising Large Language Model Enhanced Hard Sample Identification for Denoising Recommendation

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-05-11T22:56:34.496158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-08T02:07:44.161418Z digest=sha256:9d5caf443fdeca240ab8750d240e474ec7cf3d0d38c421cb3674fb6f57b4554c

Observation dbf17d29-63ac-45d3-a457-03aa07e40d2a · inbound

Trustworthy Recommendation in the Era of Large Language Models: Opportunities and Challenges cites this paper.

Trustworthy Recommendation in the Era of Large Language Models: Opportunities and Challenges Large Language Model Enhanced Hard Sample Identification for Denoising Recommendation

Reference 211

Resolution
verified exact
arxiv_id, observed 2026-06-28T18:42:29.243879Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-28T18:41:06.636352Z digest=sha256:38937170e92ed835eb7125b5e67481260e184a152a3d3d01a6ecb23078abe59d

Observation 5df8d21c-d498-490b-80b8-e0032b88cd08 · inbound

Prediction Is Not Memory: Dual-Timescale Gated Profile Writing for Persistent User Modeling cites this paper.

Prediction Is Not Memory: Dual-Timescale Gated Profile Writing for Persistent User Modeling Large Language Model Enhanced Hard Sample Identification for Denoising Recommendation

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-02T08:56:27.387573Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T08:56:27.387573Z digest=sha256:90d8cd8d69895c83a2a5692bb383dd4a768546d384b72353cba4f70eb106c008