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Paper Citation Record · LEDGER

HiGRU: Hierarchical Gated Recurrent Units for Utterance-level Emotion Recognition

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1904.04446.

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

pith.paper-citation-record.v1
1904.04446 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 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:44:08.041896Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T12:53:11.401465Z

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 647f1c41-8008-469d-92e9-8648eb76febb · inbound

RSD-15K: A Large-Scale User-Level Annotated Dataset for Suicide Risk Detection on Social Media cites this paper.

RSD-15K: A Large-Scale User-Level Annotated Dataset for Suicide Risk Detection on Social Media HiGRU: Hierarchical Gated Recurrent Units for Utterance-level Emotion Recognition

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-06T17:44:08.041896Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:44:08.041896Z digest=sha256:4656295d113a37aa58460050f2b9314dafb2699be2769996f4e703835807612d

Observation a80d9179-f257-431c-9eac-55c85c46a171 · inbound

Sync-TVA: A Graph-Attention Framework for Multimodal Emotion Recognition with Cross-Modal Fusion cites this paper.

Sync-TVA: A Graph-Attention Framework for Multimodal Emotion Recognition with Cross-Modal Fusion HiGRU: Hierarchical Gated Recurrent Units for Utterance-level Emotion Recognition

Reference 31

Resolution
verified exact
local_arxiv, observed 2026-08-06T12:53:11.436791Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T12:53:11.056219Z digest=sha256:261aee416632e18939e8fdeb8fff5e990f9f2681d68a38f885ed588a64925a30