Paper Citation Record · LEDGER

LLM-Based Synthetic Ground Truth Generation for Audio-Based Emotion Classification via In-Context Learning

As of 23 August 2026, this Paper Citation Record lists 11 of 11 outbound references and 0 inbound Pith citation observations for arXiv:2606.14784.

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

pith.paper-citation-record.v1
2606.14784 v2

Coverage vector

measured 11 of 11 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-27T08:13:38.489672Z

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

11 of 11 outbound references displayed

verified exact3
verified fuzzy0
unresolved7
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation bb73fcea-0f0f-44f8-ab02-554cf0dbb30f · outbound

This paper cites Effective affective EEG-based indicators in emotion-evoking VR environments: An evidence from machine learning,.

LLM-Based Synthetic Ground Truth Generation for Audio-Based Emotion Classification via In-Context Learning Effective affective EEG-based indicators in emotion-evoking VR environments: An evidence from machine learning,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-06-27T08:13:38.489672Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 664cdde0-8aee-4201-bd24-277fdd5e2f4a · outbound

This paper cites Investigatingthereliabilityofself-reportdatainthewild: Thequest for ground truth,.

LLM-Based Synthetic Ground Truth Generation for Audio-Based Emotion Classification via In-Context Learning Investigatingthereliabilityofself-reportdatainthewild: Thequest for ground truth,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-06-27T08:13:38.489672Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0b8e08d6-ebab-4114-a69c-53d79242e542 · outbound

This paper cites Few-shot Personalization via In-Context Learning for Speech Emotion Recognition based on Speech-Language Model.

LLM-Based Synthetic Ground Truth Generation for Audio-Based Emotion Classification via In-Context Learning Few-shot Personalization via In-Context Learning for Speech Emotion Recognition based on Speech-Language Model

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-07-03T13:18:13.109106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ef997008-79dc-4e06-a6ee-807ffa3b8e4f · outbound

This paper cites Few-shot fine-tuning vs. in-context learning: A fair comparison and evaluation,.

LLM-Based Synthetic Ground Truth Generation for Audio-Based Emotion Classification via In-Context Learning Few-shot fine-tuning vs. in-context learning: A fair comparison and evaluation,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-06-27T08:13:38.489672Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8feee5cd-c573-42c4-b597-58e606d68bd7 · outbound

This paper cites Robust Speech Recognition via Large-Scale Weak Supervision.

LLM-Based Synthetic Ground Truth Generation for Audio-Based Emotion Classification via In-Context Learning Robust Speech Recognition via Large-Scale Weak Supervision

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-06-27T08:20:45.135967Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 6725bc1e-3f7f-4e9a-9927-0a6805a368f8 · outbound

This paper cites Voxtral.

LLM-Based Synthetic Ground Truth Generation for Audio-Based Emotion Classification via In-Context Learning Voxtral

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-07-03T13:18:13.111737Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c12bdf58-4939-43a0-96f0-80edeeb6219f · outbound

This paper cites Dawn of the transformer era in speech emotion recognition: Closing the valence gap,.

LLM-Based Synthetic Ground Truth Generation for Audio-Based Emotion Classification via In-Context Learning Dawn of the transformer era in speech emotion recognition: Closing the valence gap,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-06-27T08:13:38.489672Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 50b9db4d-8bd9-4d2d-a668-c5f58bb8dd29 · outbound

This paper cites Sentimentanalysis: Automaticallydetectingvalence,emotions,andotheraffectualstatesfromtext,.

LLM-Based Synthetic Ground Truth Generation for Audio-Based Emotion Classification via In-Context Learning Sentimentanalysis: Automaticallydetectingvalence,emotions,andotheraffectualstatesfromtext,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-06-27T08:13:38.489672Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 95ea50ba-d715-4a3d-836a-861be2a52845 · outbound

This paper cites Crowdsourcingaword–emotionassociationlexicon,.

LLM-Based Synthetic Ground Truth Generation for Audio-Based Emotion Classification via In-Context Learning Crowdsourcingaword–emotionassociationlexicon,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-06-27T08:13:38.489672Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0062eab9-e26e-4a5a-aaf5-9b9283ff8bf9 · outbound

This paper cites NRC VAD Lexicon v2: Norms for Valence, Arousal, and Dominance for over 55k English Terms.

LLM-Based Synthetic Ground Truth Generation for Audio-Based Emotion Classification via In-Context Learning NRC VAD Lexicon v2: Norms for Valence, Arousal, and Dominance for over 55k English Terms

Reference 10

Resolution: metadata mismatch; arxiv_id, observed 2026-06-27T08:20:45.138796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 2200c3c8-e2f1-4270-9c55-79cbcbe42fe1 · outbound

This paper cites Employinglargelanguagemodelsforemotiondetectioninpsychotherapytranscripts,.

LLM-Based Synthetic Ground Truth Generation for Audio-Based Emotion Classification via In-Context Learning Employinglargelanguagemodelsforemotiondetectioninpsychotherapytranscripts,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-06-27T08:13:38.489672Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.