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Paper Citation Record · LEDGER

A Two-Stage Efficient 3-D CNN Framework for EEG Based Emotion Recognition

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2208.00883.

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

pith.paper-citation-record.v1
2208.00883 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 1 of 1 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:26:54.631750Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T15:26:56.351127Z

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 34a33903-cea1-48d4-bae6-a9f5c28b8c27 · inbound

MSGM: A Multi-Scale Spatiotemporal Graph Mamba for EEG Emotion Recognition cites this paper.

MSGM: A Multi-Scale Spatiotemporal Graph Mamba for EEG Emotion Recognition A Two-Stage Efficient 3-D CNN Framework for EEG Based Emotion Recognition

Reference 21

Resolution
verified exact
local_arxiv, observed 2026-08-06T15:26:56.355802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T15:26:54.631750Z digest=sha256:4bbac6761a32422986ea160c74d5d550ae62efaad7cab1c23ba1cc5e78d8561c