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Paper Citation Record · LEDGER

CIT-EmotionNet: CNN Interactive Transformer Network for EEG Emotion Recognition

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2305.05548.

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

pith.paper-citation-record.v1
2305.05548 v1

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 2026-08-11T06:34:44.6726+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T15:18:47.584196Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T23:29:22.946455Z

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 4fe38295-5c41-4121-a05d-31f9b04a2080 · inbound

Adaptive Progressive Attention Graph Neural Network for EEG Emotion Recognition cites this paper.

Adaptive Progressive Attention Graph Neural Network for EEG Emotion Recognition CIT-EmotionNet: CNN Interactive Transformer Network for EEG Emotion Recognition

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-10T15:18:47.584196Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:18:47.584196Z digest=sha256:9036a31dcc9b3f16c2aeaba88514c4795a63e5bd8bf4d29a5435b01426224aa6

Observation d70710b9-4a5c-4142-8224-25bf5c21169f · inbound

FDC-Net: Rethinking the association between EEG artifact removal and multi-dimensional affective computing cites this paper.

FDC-Net: Rethinking the association between EEG artifact removal and multi-dimensional affective computing CIT-EmotionNet: CNN Interactive Transformer Network for EEG Emotion Recognition

Reference 18

Resolution
verified exact
local_arxiv, observed 2026-08-05T23:29:22.954340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-05T23:29:22.827432Z digest=sha256:9e3e9fcafc1b7178da421d779399f17b11ed73d8114720a3b097e44bcb5913ba