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Paper Citation Record · LEDGER

Harnessing Large Language Models for Text-Rich Sequential Recommendation

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2403.13325.

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

pith.paper-citation-record.v1
2403.13325 v1

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 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:51:04.271265Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T13:00:29.901700Z

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 1886eb12-4a1a-4eb8-a055-d2cb048ef2b3 · inbound

LA-RCS: LLM-Agent-Based Robot Control System cites this paper.

LA-RCS: LLM-Agent-Based Robot Control System Harnessing Large Language Models for Text-Rich Sequential Recommendation

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-07T14:51:04.271265Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:51:04.271265Z digest=sha256:6bcbb59c0dd71cc6ef577c7b80db34861636ca33d08ebf9d0946bc9d28fcd793

Observation 3549d7b6-e380-4db2-907e-c71d8d4b68dc · inbound

Augment or Not? A Comparative Study of Pure and Augmented Large Language Model Recommenders cites this paper.

Augment or Not? A Comparative Study of Pure and Augmented Large Language Model Recommenders Harnessing Large Language Models for Text-Rich Sequential Recommendation

Reference 79

Resolution
verified exact
local_arxiv, observed 2026-08-07T13:00:29.939268Z

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=arxiv_source observed=2026-08-07T13:00:27.943331Z digest=sha256:47af86477ffb6bb8ca867a4bd754432482ae02339c9500f7a139ab0a014b0d49