Paper Citation Record · LEDGER

Learning Annotation Consensus for Continuous Emotion Recognition

As of 20 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 3 inbound Pith citation observations for arXiv:2505.21196.

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

pith.paper-citation-record.v1
2505.21196 v1

Coverage vector

measured 25 of 25 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:43:01.355059Z

measured 28 of 28 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:42:57.929686Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T19:06:03.340800Z

Reference resolution

25 of 25 outbound references displayed

verified exact0
verified fuzzy20
unresolved5
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2486b714-fb00-4a45-aae6-f009202cc48b · outbound

This paper cites Learning Annotation Consensus for Continuous Emotion Recognition.

Learning Annotation Consensus for Continuous Emotion Recognition Learning Annotation Consensus for Continuous Emotion Recognition

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T13:42:57.929686Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aa2b730c-7c71-46de-85d2-b822fd28daf7 · outbound

This paper cites gold standard.

Learning Annotation Consensus for Continuous Emotion Recognition gold standard

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:43:05.840384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e2ca1b6a-e820-489f-bc7f-823a9dc0eb33 · outbound

This paper cites Following recommendations in [17], we freeze the convolutional feature encoder layers while fine-tuning the higher-level transformer blocks.

Learning Annotation Consensus for Continuous Emotion Recognition Following recommendations in [17], we freeze the convolutional feature encoder layers while fine-tuning the higher-level transformer blocks

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:43:05.748338Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 45ef3cb6-953c-4742-8354-8660ff94b330 · outbound

This paper cites an unresolved cited work.

Learning Annotation Consensus for Continuous Emotion Recognition Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:43:05.583315Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7ed1a066-da65-43ed-9792-a1b79283b475 · outbound

This paper cites These capa- bilities could significantly impact interactive technologies and empathy computing, facilitating more nuanced and responsive interactions.

Learning Annotation Consensus for Continuous Emotion Recognition These capa- bilities could significantly impact interactive technologies and empathy computing, facilitating more nuanced and responsive interactions

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:43:05.389453Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ccd37d8b-fa16-47fe-8f9e-a51234021fe2 · outbound

This paper cites Speech emotion recognition: Two decades in a nutshell, benchmarks, and ongoing trends,.

Learning Annotation Consensus for Continuous Emotion Recognition Speech emotion recognition: Two decades in a nutshell, benchmarks, and ongoing trends,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:43:05.191726Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d483b37d-69a0-4601-b2a2-f874ae48695e · outbound

This paper cites Universals and cultural differences in the judg- ments of facial expressions of emotion.

Learning Annotation Consensus for Continuous Emotion Recognition Universals and cultural differences in the judg- ments of facial expressions of emotion

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:43:05.013240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5e010ed8-2d8d-41cb-97fe-2b19f8229b44 · outbound

This paper cites Evidence for a three-factor the- ory of emotions,.

Learning Annotation Consensus for Continuous Emotion Recognition Evidence for a three-factor the- ory of emotions,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:43:04.942053Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 92787b42-cd5b-4f14-a169-a0e090ff85d3 · outbound

This paper cites Multi- modal learning for speech emotion recognition: An analysis and comparison of asr outputs with ground truth transcription.

Learning Annotation Consensus for Continuous Emotion Recognition Multi- modal learning for speech emotion recognition: An analysis and comparison of asr outputs with ground truth transcription

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:43:04.814281Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5e9933d6-d6aa-42a1-8b61-193662772dc8 · outbound

This paper cites Affect detection: An interdisci- plinary review of models, methods, and their applications,.

Learning Annotation Consensus for Continuous Emotion Recognition Affect detection: An interdisci- plinary review of models, methods, and their applications,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:43:04.630724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c5b39a36-8018-426d-8969-d45ff8d41b8b · outbound

This paper cites Multistage linguistic conditioning of convolu- tional layers for speech emotion recognition,.

Learning Annotation Consensus for Continuous Emotion Recognition Multistage linguistic conditioning of convolu- tional layers for speech emotion recognition,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:43:04.407264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d7c2b453-9495-47a3-9408-25e97d6343b6 · outbound

This paper cites Ro- bust speech emotion recognition under different encoding condi- tions,.

Learning Annotation Consensus for Continuous Emotion Recognition Ro- bust speech emotion recognition under different encoding condi- tions,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:43:04.258784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b6e9b2d5-deb1-40e4-9089-246163ecd796 · outbound

This paper cites Affective robotics: Current research and future direc- tions,.

Learning Annotation Consensus for Continuous Emotion Recognition Affective robotics: Current research and future direc- tions,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:43:04.017803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7d7f57a5-24ba-4479-ac30-7f166e3c1d57 · outbound

This paper cites A review of affective computing: From unimodal analysis to multimodal fu- sion,.

Learning Annotation Consensus for Continuous Emotion Recognition A review of affective computing: From unimodal analysis to multimodal fu- sion,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:43:03.842179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 85bec195-0c86-4920-9e76-aef4c7dc7b5d · outbound

This paper cites Use of affective visual information for summarization of human-centric videos,.

Learning Annotation Consensus for Continuous Emotion Recognition Use of affective visual information for summarization of human-centric videos,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:43:03.668128Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4d962ade-1042-44cd-bd42-5e01cb2dd1e7 · outbound

This paper cites Introduc- ing the recola multimodal corpus of remote collaborative and af- fective interactions,.

Learning Annotation Consensus for Continuous Emotion Recognition Introduc- ing the recola multimodal corpus of remote collaborative and af- fective interactions,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:43:03.387469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation accc8130-3168-4566-9081-912cf60cf9d7 · outbound

This paper cites Cognimuse: A multimodal video database an- notated with saliency, events, semantics and emotion with appli- cation to summarization,.

Learning Annotation Consensus for Continuous Emotion Recognition Cognimuse: A multimodal video database an- notated with saliency, events, semantics and emotion with appli- cation to summarization,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:43:03.077289Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 18860c9d-c37d-4f20-a9a9-ca36da252de3 · outbound

This paper cites an unresolved cited work.

Learning Annotation Consensus for Continuous Emotion Recognition Unresolved cited work

Reference 18

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:43:02.781482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e469e655-e0f7-418a-9f5d-7a466e9a7798 · outbound

This paper cites Prediction of asynchronous dimensional emotion ratings from audiovisual and physiological data,.

Learning Annotation Consensus for Continuous Emotion Recognition Prediction of asynchronous dimensional emotion ratings from audiovisual and physiological data,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:43:02.687726Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 37d2ca17-0df1-4971-98ca-65b125c96fef · outbound

This paper cites End-to-end multimodal emotion recognition using deep neural networks,.

Learning Annotation Consensus for Continuous Emotion Recognition End-to-end multimodal emotion recognition using deep neural networks,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:43:02.406769Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d99b507b-246d-4ca3-ba17-1fc6b982fe04 · outbound

This paper cites Multi-modal Attention for Speech Emotion Recognition.

Learning Annotation Consensus for Continuous Emotion Recognition Multi-modal Attention for Speech Emotion Recognition

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T13:43:00.880411Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1dba6740-a37b-4f71-bf0f-dab28327bc02 · outbound

This paper cites Dawn of the trans- former era in speech emotion recognition: closing the valence gap,.

Learning Annotation Consensus for Continuous Emotion Recognition Dawn of the trans- former era in speech emotion recognition: closing the valence gap,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T13:43:01.083158Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5f102836-2f05-4106-8095-52672fba331d · outbound

This paper cites Recognizing emotions evoked by movies using multitask learning,.

Learning Annotation Consensus for Continuous Emotion Recognition Recognizing emotions evoked by movies using multitask learning,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:43:02.121256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1e799cf9-e0b0-483c-8350-5822a40b03da · outbound

This paper cites The ox- ford handbook of affective computing,.

Learning Annotation Consensus for Continuous Emotion Recognition The ox- ford handbook of affective computing,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:43:01.850404Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 78557e42-7a1b-4a36-9aba-45fe6ddb96d6 · outbound

This paper cites Primitives-based evaluation and estimation of emotions in speech,.

Learning Annotation Consensus for Continuous Emotion Recognition Primitives-based evaluation and estimation of emotions in speech,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:43:01.534602Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Pith citing papers

Observation 2486b714-fb00-4a45-aae6-f009202cc48b · inbound