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Paper Citation Record · LEDGER

Multi-Modal Emotion recognition on IEMOCAP Dataset using Deep Learning

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1804.05788.

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

pith.paper-citation-record.v1
1804.05788 v3

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 2026-08-18T06:34:40.430872+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T05:12:52.860727Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T19:21:27.065837Z

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 d36e9701-d610-4b17-acff-bbdd02b21e47 · inbound

A Multimodal Emotion Recognition System: Integrating Facial Expressions, Body Movement, Speech, and Spoken Language cites this paper.

A Multimodal Emotion Recognition System: Integrating Facial Expressions, Body Movement, Speech, and Spoken Language Multi-Modal Emotion recognition on IEMOCAP Dataset using Deep Learning

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-11T05:12:52.860727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:12:52.860727Z digest=sha256:09fe5218cf7bfb6e90cf6c0f9c4025ff856e7813509477c890b7ecdd043dfde5

Observation 2a045957-88fb-468c-8298-239066a8cfa2 · inbound

EmoTech: A Multi-modal Speech Emotion Recognition Using Multi-source Low-level Information with Hybrid Recurrent Network cites this paper.

EmoTech: A Multi-modal Speech Emotion Recognition Using Multi-source Low-level Information with Hybrid Recurrent Network Multi-Modal Emotion recognition on IEMOCAP Dataset using Deep Learning

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-10T16:58:54.879516Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T16:58:54.879516Z digest=sha256:dbe9cbd1ec91f58494f6ddb8e5a42631f0691b3bfe0c39f3a24a90d7e3ec81d1

Observation 90963a6f-49ab-413e-ae31-3d0d5e3f37fb · inbound

Kimi-Audio Technical Report cites this paper.

Kimi-Audio Technical Report Multi-Modal Emotion recognition on IEMOCAP Dataset using Deep Learning

Reference 68

Resolution
verified exact
arxiv_id, observed 2026-05-11T19:21:27.067739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-11T19:21:26.933349Z digest=sha256:a2dfae5b7cc794b08fd287cf8669795242072c2ebab151b1ef72e27110fa3851