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Paper Citation Record · LEDGER

A Multimodal Fusion Network For Student Emotion Recognition Based on Transformer and Tensor Product

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2403.08511.

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

pith.paper-citation-record.v1
2403.08511 v4

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 2026-08-12T06:34:41.77262+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T06:00:51.688795Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-11T06:00:00.208838Z

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 5c40e629-975a-4c7d-ba32-fd6719af1ec8 · inbound

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

Detecting and Classifying Defective Products in Images Using YOLO A Multimodal Fusion Network For Student Emotion Recognition Based on Transformer and Tensor Product

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-11T06:00:51.688795Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T06:00:51.688795Z digest=sha256:d5edff21aa69414f06c33b72631d0d382028bdf170bf7ec7c751a148d02d481d

Observation 3ae060ed-a610-49ad-99aa-f1974e28f745 · inbound

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

DTSGAN: Learning Dynamic Textures via Spatiotemporal Generative Adversarial Network A Multimodal Fusion Network For Student Emotion Recognition Based on Transformer and Tensor Product

Reference 14

Resolution
verified exact
local_arxiv, observed 2026-08-11T06:00:00.214852Z

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=2026-08-11T05:59:59.799619Z digest=sha256:086d8e336529b5a9fe292ca5ec2f8505757b1d0801b7eed2eb949cd9a05650c7