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Paper Citation Record · LEDGER

Can Large Language Models Aid in Annotating Speech Emotional Data? Uncovering New Frontiers

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2307.06090.

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

pith.paper-citation-record.v1
2307.06090 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T15:44:52.749317Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T23:08:37.064216Z

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 b824fd67-5f1e-4ff1-ace1-b7de4ddd8ed4 · inbound

LLMs-as-Judges: A Comprehensive Survey on LLM-based Evaluation Methods cites this paper.

LLMs-as-Judges: A Comprehensive Survey on LLM-based Evaluation Methods Can Large Language Models Aid in Annotating Speech Emotional Data? Uncovering New Frontiers

Reference 121

Resolution
verified exact
arxiv_id, observed 2026-05-11T23:08:37.067490Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-11T23:08:34.312466Z digest=sha256:cc6bb05c993996eb0c48883e0abcb1fac819d6b17d47dbcedb9ae0e4bd0d56b7

Observation 4ddc0fae-e612-4a98-97c7-7f3db37c81bc · inbound

The Homework Wars: Exploring Emotions, Behaviours, and Conflicts in Parent-Child Homework Interactions cites this paper.

The Homework Wars: Exploring Emotions, Behaviours, and Conflicts in Parent-Child Homework Interactions Can Large Language Models Aid in Annotating Speech Emotional Data? Uncovering New Frontiers

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-09T15:44:52.749317Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T15:44:52.749317Z digest=sha256:4415256fffcee048ca1762e1e1e26068351d9043ab7cebfee9bbd77f78486f8e

Observation 70925387-01ac-4823-b521-5d86d47255d9 · inbound

End-to-end Acoustic-linguistic Emotion and Intent Recognition Enhanced by Semi-supervised Learning cites this paper.

End-to-end Acoustic-linguistic Emotion and Intent Recognition Enhanced by Semi-supervised Learning Can Large Language Models Aid in Annotating Speech Emotional Data? Uncovering New Frontiers

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-06T18:36:05.834924Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:36:05.834924Z digest=sha256:df71e5e304ce1368ac07fc536c9a00e94f7a288e06a8f6024146bdefcf65235f

Observation ee7fefde-3837-4652-a19e-28db5e9fccf9 · inbound

AudioJudge: Understanding What Works in Large Audio Model Based Speech Evaluation cites this paper.

AudioJudge: Understanding What Works in Large Audio Model Based Speech Evaluation Can Large Language Models Aid in Annotating Speech Emotional Data? Uncovering New Frontiers

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-06T16:47:56.215196Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T16:47:56.215196Z digest=sha256:1a40ef742e7a153aebecd98158b563e9a0e844e6e1d76fd104c8835bf690c7af