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Paper Citation Record · LEDGER

Speech Emotion Detection Based on MFCC and CNN-LSTM Architecture

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2501.10666.

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

pith.paper-citation-record.v1
2501.10666 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 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T19:55:18.061325Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T00:35:10.333532Z

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 9274084a-bcfe-402f-8827-62114a6f2b12 · inbound

Low Resource Multimodal Translation of Nepali Spoken Words into Emotion-Conditioned Sign Language Avatars cites this paper.

Low Resource Multimodal Translation of Nepali Spoken Words into Emotion-Conditioned Sign Language Avatars Speech Emotion Detection Based on MFCC and CNN-LSTM Architecture

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-07-01T00:35:10.334848Z

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=arxiv_source observed=2026-07-01T00:29:09.303984Z digest=sha256:bb556e7109eda98bd7dbf25f38f6064f6b1e3eef02ef242b0f311a98032c0c37

Observation 9e87df13-b8c2-4bf1-a5e3-5575ff89b164 · inbound

Explainable Lightweight Compact Deep Models for Speech Emotion Recognition cites this paper.

Explainable Lightweight Compact Deep Models for Speech Emotion Recognition Speech Emotion Detection Based on MFCC and CNN-LSTM Architecture

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-01T19:55:18.061325Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T19:55:18.061325Z digest=sha256:6fbe776dd8907a8dfb61950c009df9ac4d6def6b77516995e5cbddcd3bbd5527