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Paper Citation Record · LEDGER

LLM4DSR: Leveraging Large Language Model for Denoising Sequential Recommendation

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 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 2 of 2 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T19:17:02.223916Z

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 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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-22T19:24:48.300461Z digest=sha256:79c0fc6e4cb04af3f0acaa2c1dd5506b6ccb4c349d99fca44f8aa7cd7bf9f761

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.

source=arxiv_source observed=2026-08-04T19:17:02.223916Z digest=sha256:cf0b54bbd60d14a702e2b954c1b9ad9fd98eed0cf8219baf40b4580d748f259b