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Paper Citation Record · LEDGER

Leveraging Large Language Models to Enhance Personalized Recommendations in E-commerce

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2410.12829.

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

pith.paper-citation-record.v1
2410.12829 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 2026-08-16T06:30:59.297886+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T20:41:42.466372Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-11T00:16:15.729268Z

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 c5b6a3c1-a094-4a23-a474-521f66c0ba56 · inbound

Comprehensive Evaluation of Multimodal AI Models in Medical Imaging Diagnosis: From Data Augmentation to Preference-Based Comparison cites this paper.

Comprehensive Evaluation of Multimodal AI Models in Medical Imaging Diagnosis: From Data Augmentation to Preference-Based Comparison Leveraging Large Language Models to Enhance Personalized Recommendations in E-commerce

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-11T20:41:42.466372Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:41:42.466372Z digest=sha256:64be753a0635be2f00e6c9fe5e9c7b444787ec86e5833fdc4bf83ec85a9495e1

Observation bed06963-f938-4ddd-83be-3fa86f8167e3 · inbound

Harnessing the Potential of Large Language Models in Modern Marketing Management: Applications, Future Directions, and Strategic Recommendations cites this paper.

Harnessing the Potential of Large Language Models in Modern Marketing Management: Applications, Future Directions, and Strategic Recommendations Leveraging Large Language Models to Enhance Personalized Recommendations in E-commerce

Reference 50

Resolution
verified exact
local_arxiv, observed 2026-08-10T19:04:03.036631Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T19:04:02.625382Z digest=sha256:85544ba05dabf8ef5cad0265880b6d4fec3efd006f989ea312283450651469a3