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Paper Citation Record · LEDGER

MM-GEF: Multi-modal representation meet collaborative filtering

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2308.07222.

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

pith.paper-citation-record.v1
2308.07222 v2

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 2026-08-21T06:32:19.484+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T20:48:15.594140Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T11:09:48.803470Z

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 bfa68352-e4cf-494b-b1a9-885722da3417 · inbound

Dataset-Agnostic Recommender Systems cites this paper.

Dataset-Agnostic Recommender Systems MM-GEF: Multi-modal representation meet collaborative filtering

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-10T20:48:15.594140Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:48:15.594140Z digest=sha256:a6e79bde7787aa969bd81f1880e5aea041a890f8362f71ef99a246a6e0da5f2b

Observation e76d7bf6-7f60-4981-be33-3536bb01a07a · inbound

Universal Reusability in Recommender Systems: The Case for Dataset- and Task-Independent Frameworks cites this paper.

Universal Reusability in Recommender Systems: The Case for Dataset- and Task-Independent Frameworks MM-GEF: Multi-modal representation meet collaborative filtering

Reference 71

Resolution
verified exact
local_arxiv, observed 2026-08-07T11:09:48.808828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T11:09:48.733534Z digest=sha256:052ed02d23c21433cbde41f7b4415dc2e4566deac54209aff70bf5c57da5774d