Paper Citation Record · LEDGER

Does Multimodality Improve Recommender Systems as Expected? A Critical Analysis and Future Directions

As of 8 August 2026, this Paper Citation Record lists 1 of 1 outbound references and 3 inbound Pith citation observations for arXiv:2508.05377.

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

pith.paper-citation-record.v1
2508.05377 v1

Coverage vector

measured 1 of 1 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T23:26:04.469761Z

measured 4 of 4 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T22:51:45.066804Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T03:37:36.121591Z

Reference resolution

1 of 1 outbound references displayed

verified exact0
verified fuzzy0
unresolved1
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 592b554b-db53-4385-be69-af70bd19443d · outbound

This paper cites Simulating LLM training workloads for heterogeneous compute and network infrastructure.

Does Multimodality Improve Recommender Systems as Expected? A Critical Analysis and Future Directions Simulating LLM training workloads for heterogeneous compute and network infrastructure

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-05T23:26:04.469761Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation cedbc2cd-8122-42d3-bb74-6df128054b5a · inbound

Binge Watch: Reproducible Multimodal Benchmarks Datasets for Large-Scale Movie Recommendation on MovieLens-10M and 20M cites this paper.

Binge Watch: Reproducible Multimodal Benchmarks Datasets for Large-Scale Movie Recommendation on MovieLens-10M and 20M Does Multimodality Improve Recommender Systems as Expected? A Critical Analysis and Future Directions

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-02T22:51:45.066804Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2b98a769-0a34-4899-9c42-11f0904f6cfa · inbound

Adopting State-of-the-Art Pretrained Audio Representations for Music Recommender Systems cites this paper.

Adopting State-of-the-Art Pretrained Audio Representations for Music Recommender Systems Does Multimodality Improve Recommender Systems as Expected? A Critical Analysis and Future Directions

Reference 105

Resolution: verified exact; arxiv_id, observed 2026-05-11T21:01:13.281045Z

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.

Observation a6764d3f-4fb4-420e-920a-3234bc6dfe1d · inbound

Teach Multimodal Recommendation Model to See via Personalized Visual Extraction and Adaptive Learning cites this paper.

Teach Multimodal Recommendation Model to See via Personalized Visual Extraction and Adaptive Learning Does Multimodality Improve Recommender Systems as Expected? A Critical Analysis and Future Directions

Reference 50

Resolution: verified exact; arxiv_id, observed 2026-07-03T03:37:36.124742Z

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.