Pith. sign in

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 3 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 3 of 3 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T11:21:06.362539Z

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 4fe33a79-43af-49a2-a539-00a7029c59c0 · 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 Multimodal Fusion Network For Student Emotion Recognition Based on Transformer and Tensor Product

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-12T11:21:06.362539Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:21:06.362539Z digest=sha256:89d9fe17410e794d2f9cb3cf5f2301689ddb1f9b95f803155c414533619165f5

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:b0034f2291b213eececd33f0482672e111a5fb92ba9d17708c5e38a82e673838

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