Paper Citation Record · LEDGER

LLM4DSR: Leveraging Large Language Model for Denoising Sequential Recommendation

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2408.08208.

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

pith.paper-citation-record.v1
2408.08208 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T19:54:04.996549Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T19:25:03.722832Z

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 ff7bcc5f-c6ee-47bd-a434-197d3b6edc8b · inbound

DFRot: Achieving Outlier-Free and Massive Activation-Free for Rotated LLMs with Refined Rotation cites this paper.

DFRot: Achieving Outlier-Free and Massive Activation-Free for Rotated LLMs with Refined Rotation LLM4DSR: Leveraging Large Language Model for Denoising Sequential Recommendation

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-12T05:20:23.921636Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cb7f5e24-39d5-4d6c-935c-d107652c55c3 · inbound

A Survey on Sequential Recommendation cites this paper.

A Survey on Sequential Recommendation LLM4DSR: Leveraging Large Language Model for Denoising Sequential Recommendation

Reference 160

Resolution: unresolved; no resolver link, observed 2026-08-11T13:47:37.854163Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 09f20fe5-0de0-4fe2-b3b4-c2176e4ba857 · inbound

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

Large Language Model Enhanced Recommender Systems: A Survey LLM4DSR: Leveraging Large Language Model for Denoising Sequential Recommendation

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-11T13:11:48.743799Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 470d9c06-2f88-4d97-8b76-f02005d52df8 · inbound

Adaptive Long-term Embedding with Denoising and Augmentation for Recommendation cites this paper.

Adaptive Long-term Embedding with Denoising and Augmentation for Recommendation LLM4DSR: Leveraging Large Language Model for Denoising Sequential Recommendation

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-05-22T19:25:03.724524Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 8204af8b-2ce0-4529-bc83-ec2761491cae · inbound

Advancing Loss Functions in Recommender Systems: A Comparative Study with a R\'enyi Divergence-Based Solution cites this paper.

Advancing Loss Functions in Recommender Systems: A Comparative Study with a R\'enyi Divergence-Based Solution LLM4DSR: Leveraging Large Language Model for Denoising Sequential Recommendation

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-15T19:54:04.996549Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6913af2f-5d8c-4bdf-acab-2543133be540 · inbound

Breaking the Top-$K$ Barrier: Advancing Top-$K$ Ranking Metrics Optimization in Recommender Systems cites this paper.

Breaking the Top-$K$ Barrier: Advancing Top-$K$ Ranking Metrics Optimization in Recommender Systems LLM4DSR: Leveraging Large Language Model for Denoising Sequential Recommendation

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-15T17:44:54.972919Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5c2ce00c-c499-4458-99a1-e76ea939f7a7 · inbound

CESRec: Constructing Pseudo Interactions for Sequential Recommendation via Conversational Feedback cites this paper.

CESRec: Constructing Pseudo Interactions for Sequential Recommendation via Conversational Feedback LLM4DSR: Leveraging Large Language Model for Denoising Sequential Recommendation

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-04T19:17:02.223916Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.