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Paper Citation Record · LEDGER

A Neural Matrix Decomposition Recommender System Model based on the Multimodal Large Language Model

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2407.08942.

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

pith.paper-citation-record.v1
2407.08942 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T11:21:06.353368Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-11T04:36:40.951566Z

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 08f5e226-8114-4927-80e8-3a47ab7405ca · inbound

Real-time Video Target Tracking Algorithm Utilizing Convolutional Neural Networks (CNN) cites this paper.

Real-time Video Target Tracking Algorithm Utilizing Convolutional Neural Networks (CNN) A Neural Matrix Decomposition Recommender System Model based on the Multimodal Large Language Model

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-12T11:21:06.353368Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:21:06.353368Z digest=sha256:f5bf44c2ef294ab1e492d71a992786291768f5ddef7dc013af1133040572a0ed

Observation ca329d80-9980-472f-ac70-3d899f2da0af · inbound

Detecting and Classifying Defective Products in Images Using YOLO cites this paper.

Detecting and Classifying Defective Products in Images Using YOLO A Neural Matrix Decomposition Recommender System Model based on the Multimodal Large Language Model

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-11T06:00:51.681334Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T06:00:51.681334Z digest=sha256:2807b2c5072f736b36169709aa5d69cb695d634075e47c9b231a1d47d52cde57

Observation f8dbf52e-3cd5-4b04-9d6f-4f7f5a03ab63 · inbound

DTSGAN: Learning Dynamic Textures via Spatiotemporal Generative Adversarial Network cites this paper.

DTSGAN: Learning Dynamic Textures via Spatiotemporal Generative Adversarial Network A Neural Matrix Decomposition Recommender System Model based on the Multimodal Large Language Model

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-11T05:59:59.783678Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:59:59.783678Z digest=sha256:bd662976814ffb89454e5b6d185201769e48cae10c2028b21956dcb7859de0d5

Observation a1914b17-7cdb-42d7-9e70-97853b4b4843 · inbound

Enhanced Recommendation Combining Collaborative Filtering and Large Language Models cites this paper.

Enhanced Recommendation Combining Collaborative Filtering and Large Language Models A Neural Matrix Decomposition Recommender System Model based on the Multimodal Large Language Model

Reference 6

Resolution
verified exact
local_arxiv, observed 2026-08-11T04:36:40.957222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T04:36:40.608551Z digest=sha256:12ad614722fa921321a887c1ad7a1274695f877d04494910ff08b1d3d95f8604