Paper Citation Record · LEDGER

Learning from Annotation Uncertainty: Entropy-Aware Curriculum for Speech Emotion Recognition

As of 8 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 1 inbound Pith citation observation for arXiv:2606.27536.

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

pith.paper-citation-record.v1
2606.27536 v1

Coverage vector

measured 24 of 24 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-29T00:53:21.116337Z

measured 25 of 25 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-29T00:53:21.116337Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-01T19:06:03.346327Z

Reference resolution

24 of 24 outbound references displayed

verified exact4
verified fuzzy0
unresolved19
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c34ba63b-1e46-40bd-bfc8-2faa0755cdd1 · outbound

This paper cites an unresolved cited work.

Learning from Annotation Uncertainty: Entropy-Aware Curriculum for Speech Emotion Recognition Unresolved cited work

Reference 1

Resolution: unresolved; no resolver link, observed 2026-06-29T00:53:21.116337Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3e2c9be2-cbc2-409f-9f69-193def5ae5ce · outbound

This paper cites Learning from Annotation Uncertainty: Entropy-Aware Curriculum for Speech Emotion Recognition.

Learning from Annotation Uncertainty: Entropy-Aware Curriculum for Speech Emotion Recognition Learning from Annotation Uncertainty: Entropy-Aware Curriculum for Speech Emotion Recognition

Reference 2

Resolution: metadata mismatch; local_arxiv, observed 2026-07-01T19:06:03.347617Z

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.

Observation 7ec7d461-892c-41c7-90e1-13dd20e82fc6 · outbound

This paper cites Optimization Models are trained with AdamW using separate learning rates for the WavLM backbone (1×10 −5) and task-specific heads (1×10−4).

Learning from Annotation Uncertainty: Entropy-Aware Curriculum for Speech Emotion Recognition Optimization Models are trained with AdamW using separate learning rates for the WavLM backbone (1×10 −5) and task-specific heads (1×10−4)

Reference 3

Resolution: unresolved; no resolver link, observed 2026-06-29T00:53:21.116337Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 98728ad5-c813-4c8f-bfa7-0490d0a592b2 · outbound

This paper cites an unresolved cited work.

Learning from Annotation Uncertainty: Entropy-Aware Curriculum for Speech Emotion Recognition Unresolved cited work

Reference 4

Resolution: unresolved; no resolver link, observed 2026-06-29T00:53:21.116337Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e4cc00fd-4764-493b-bfff-b6a51b94a087 · outbound

This paper cites Since emotion categories can be perceived differently across listeners and contexts [1], hard consensus labels may discard meaningful ambiguity present in multi-rater annotations.

Learning from Annotation Uncertainty: Entropy-Aware Curriculum for Speech Emotion Recognition Since emotion categories can be perceived differently across listeners and contexts [1], hard consensus labels may discard meaningful ambiguity present in multi-rater annotations

Reference 5

Resolution: unresolved; no resolver link, observed 2026-06-29T00:53:21.116337Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e04bf746-9d70-4615-b746-e63d3136d13c · outbound

This paper cites By treating annotation entropy as an utterance-level property, we analyzed model behavior across different levels of perceptual ambiguity.

Learning from Annotation Uncertainty: Entropy-Aware Curriculum for Speech Emotion Recognition By treating annotation entropy as an utterance-level property, we analyzed model behavior across different levels of perceptual ambiguity

Reference 6

Resolution: unresolved; no resolver link, observed 2026-06-29T00:53:21.116337Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bf5c2071-534c-457d-b683-539b95579b19 · outbound

This paper cites an unresolved cited work.

Learning from Annotation Uncertainty: Entropy-Aware Curriculum for Speech Emotion Recognition Unresolved cited work

Reference 7

Resolution: unresolved; no resolver link, observed 2026-06-29T00:53:21.116337Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cc88e436-3e80-4b3d-99e4-896dbb19caf1 · outbound

This paper cites After using this tool, the author(s) reviewed and edited the content as needed and take(s) full responsibility for the content of the publication.

Learning from Annotation Uncertainty: Entropy-Aware Curriculum for Speech Emotion Recognition After using this tool, the author(s) reviewed and edited the content as needed and take(s) full responsibility for the content of the publication

Reference 8

Resolution: unresolved; no resolver link, observed 2026-06-29T00:53:21.116337Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d937bf8c-1338-4423-8c0d-877067d67f3c · outbound

This paper cites Emotional expressions reconsidered: Challenges to infer- ring emotion from human facial movements,.

Learning from Annotation Uncertainty: Entropy-Aware Curriculum for Speech Emotion Recognition Emotional expressions reconsidered: Challenges to infer- ring emotion from human facial movements,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-06-29T00:53:21.116337Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 95568a8b-b82f-4e09-8ee6-af4aa66fe680 · outbound

This paper cites Msp-improv: An acted corpus of dyadic interactions to study emotion perception,.

Learning from Annotation Uncertainty: Entropy-Aware Curriculum for Speech Emotion Recognition Msp-improv: An acted corpus of dyadic interactions to study emotion perception,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-06-29T00:53:21.116337Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 15189c9e-3930-468d-a65d-e8e1a58f8f57 · outbound

This paper cites The MSP-Podcast Corpus.

Learning from Annotation Uncertainty: Entropy-Aware Curriculum for Speech Emotion Recognition The MSP-Podcast Corpus

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-07-01T19:06:03.337238Z

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.

Observation 17e35406-7232-4db7-b1d3-6b1c42eabbb6 · outbound

This paper cites Switchboard-affect: Emotion perception labels from conversational speech,.

Learning from Annotation Uncertainty: Entropy-Aware Curriculum for Speech Emotion Recognition Switchboard-affect: Emotion perception labels from conversational speech,

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-07-01T19:06:03.339589Z

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.

Observation 4c3ab518-dafe-4fe4-88c4-d38c567a6695 · outbound

This paper cites Predicting categorical emotions by jointly learning primary and secondary emotions through multi- task learning,.

Learning from Annotation Uncertainty: Entropy-Aware Curriculum for Speech Emotion Recognition Predicting categorical emotions by jointly learning primary and secondary emotions through multi- task learning,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-06-29T00:53:21.116337Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 58d80d3d-dfbb-4aa9-a02c-b43ef70bf7b3 · outbound

This paper cites End- to-end label uncertainty modeling in speech emotion recognition using bayesian neural networks and label distribution learning,.

Learning from Annotation Uncertainty: Entropy-Aware Curriculum for Speech Emotion Recognition End- to-end label uncertainty modeling in speech emotion recognition using bayesian neural networks and label distribution learning,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-06-29T00:53:21.116337Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 728eb0fe-e80b-481d-ba46-6cb279bfd5ea · outbound

This paper cites Generative approach using soft-labels to learn uncertainty in predicting emotional attributes,.

Learning from Annotation Uncertainty: Entropy-Aware Curriculum for Speech Emotion Recognition Generative approach using soft-labels to learn uncertainty in predicting emotional attributes,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-06-29T00:53:21.116337Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d011a3b5-41c9-4ad2-9dfc-c91b4ab492a9 · outbound

This paper cites Learning Annotation Consensus for Continuous Emotion Recognition.

Learning from Annotation Uncertainty: Entropy-Aware Curriculum for Speech Emotion Recognition Learning Annotation Consensus for Continuous Emotion Recognition

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-07-01T19:06:03.342440Z

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.

Observation 2d8ed19a-f773-40be-a951-9190b7702e33 · outbound

This paper cites Embracing ambiguity and subjectivity using the all-inclusive aggregation rule for evaluating multi-label speech emotion recognition systems,.

Learning from Annotation Uncertainty: Entropy-Aware Curriculum for Speech Emotion Recognition Embracing ambiguity and subjectivity using the all-inclusive aggregation rule for evaluating multi-label speech emotion recognition systems,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-06-29T00:53:21.116337Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 51e01e02-d039-4b1a-ae06-382a60312030 · outbound

This paper cites Embracing ambiguity and subjectivity using the all-inclusive aggregation rule for evaluating multi-label speech emotion recognition systems,.

Reference 19

Resolution: unresolved; no resolver link, observed 2026-06-29T00:53:21.116337Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 37fe4ba9-f229-4b71-83ef-4920693ee19e · outbound

This paper cites Beyond single emotion: Multi-label ap- proach to conversational emotion recognition,.

Learning from Annotation Uncertainty: Entropy-Aware Curriculum for Speech Emotion Recognition Beyond single emotion: Multi-label ap- proach to conversational emotion recognition,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-06-29T00:53:21.116337Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ad732f13-ece1-4b23-a429-6a6ffde7eb50 · outbound

This paper cites Extending speech emotion recogni- tion systems to non-prototypical emotions using mixed-emotion model,.

Learning from Annotation Uncertainty: Entropy-Aware Curriculum for Speech Emotion Recognition Extending speech emotion recogni- tion systems to non-prototypical emotions using mixed-emotion model,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-06-29T00:53:21.116337Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 73b472b9-1ac1-419e-8f6f-19bbe19458b9 · outbound

This paper cites Wavlm: Large-scale self-supervised pre- training for full stack speech processing,.

Learning from Annotation Uncertainty: Entropy-Aware Curriculum for Speech Emotion Recognition Wavlm: Large-scale self-supervised pre- training for full stack speech processing,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-06-29T00:53:21.116337Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9b047238-7b63-41cb-a835-d9ec2a3eab5f · outbound

This paper cites Learning more from mixed emotions: A label refinement method for emotion recogni- tion in conversations,.

Learning from Annotation Uncertainty: Entropy-Aware Curriculum for Speech Emotion Recognition Learning more from mixed emotions: A label refinement method for emotion recogni- tion in conversations,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-06-29T00:53:21.116337Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 743f1830-f48d-4393-aff6-07526b0b1572 · outbound

This paper cites Modeling speech emotion with label variance and analyzing performance across speakers and unseen acoustic conditions.

Learning from Annotation Uncertainty: Entropy-Aware Curriculum for Speech Emotion Recognition Modeling speech emotion with label variance and analyzing performance across speakers and unseen acoustic conditions

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-07-01T19:06:03.345129Z

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.

Observation e047afaf-60e4-4bdd-b9a7-45b9a969ca9c · outbound

This paper cites On information and sufficiency,.

Learning from Annotation Uncertainty: Entropy-Aware Curriculum for Speech Emotion Recognition On information and sufficiency,

Reference 25

Resolution: unresolved; no resolver link, observed 2026-06-29T00:53:21.116337Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 3e2c9be2-cbc2-409f-9f69-193def5ae5ce · inbound