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Paper Citation Record · LEDGER

SpEmoC: A Balanced Speaker-Segment Multimodal Emotion Benchmark

As of 8 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 0 inbound Pith citation observations for arXiv:2607.18109.

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

pith.paper-citation-record.v1
2607.18109 v1

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T16:07:20.855119Z

measured 33 of 33 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 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

33 of 33 outbound references displayed

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  • verified fuzzy0
  • unresolved32
  • parse uncertain1
  • malformed identifier0
  • metadata mismatch0

External citation measurements

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Outbound references

Observation d34db4b9-8bdb-4d76-a711-f27c4c5173fe · outbound

This paper cites In: Proceedings of the 26th ACM interna- tional conference on Multimedia.

SpEmoC: A Balanced Speaker-Segment Multimodal Emotion Benchmark In: Proceedings of the 26th ACM interna- tional conference on Multimedia

Reference 1

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Observation a71f11cd-170a-4889-955e-8b209812d86f · outbound

This paper cites Advances in neural information processing systems33, 12449–12460 (2020).

SpEmoC: A Balanced Speaker-Segment Multimodal Emotion Benchmark Advances in neural information processing systems33, 12449–12460 (2020)

Reference 2

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Observation 5ad02a18-bf17-4147-a304-4be4244af984 · outbound

This paper cites Language resources and evaluation42, 335–359 (2008).

SpEmoC: A Balanced Speaker-Segment Multimodal Emotion Benchmark Language resources and evaluation42, 335–359 (2008)

Reference 3

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Observation 3c111ef4-0864-4c6a-aa10-5bce1d03cebb · outbound

This paper cites Advances in Neural Information Processing Systems37, 110805– 110853 (2024).

SpEmoC: A Balanced Speaker-Segment Multimodal Emotion Benchmark Advances in Neural Information Processing Systems37, 110805– 110853 (2024)

Reference 4

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Observation 1d54c61f-44ea-4c3f-a69c-283807d4b5df · outbound

This paper cites Cognition & emotion6(3-4), 169–200 (1992).

SpEmoC: A Balanced Speaker-Segment Multimodal Emotion Benchmark Cognition & emotion6(3-4), 169–200 (1992)

Reference 5

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source=pdf_text observed=2026-08-01T16:07:20.762253Z digest=sha256:7f465bb0b60c87d8b73319f20690ec746e3df9115524f43a59748f954fc2fccf

Observation d850a0b5-23fb-41b1-a5e4-f16630461d38 · outbound

This paper cites Pattern recognition44(3), 572– 587 (2011).

SpEmoC: A Balanced Speaker-Segment Multimodal Emotion Benchmark Pattern recognition44(3), 572– 587 (2011)

Reference 6

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Observation abde0b08-2e67-453f-83db-4f9ecbecdb1b · outbound

This paper cites In: Proceedings of the Computer Vision and Pattern Recognition Conference.

SpEmoC: A Balanced Speaker-Segment Multimodal Emotion Benchmark In: Proceedings of the Computer Vision and Pattern Recognition Conference

Reference 7

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Observation f41652ef-8b1a-4edc-bbca-d2cd45df88f6 · outbound

This paper cites In: Proceedings of the Thirteenth Language Resources and Evaluation Conference.

SpEmoC: A Balanced Speaker-Segment Multimodal Emotion Benchmark In: Proceedings of the Thirteenth Language Resources and Evaluation Conference

Reference 8

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Observation 20fd46e3-1fba-4e87-87f1-cf5e9931356b · outbound

This paper cites an unresolved cited work.

SpEmoC: A Balanced Speaker-Segment Multimodal Emotion Benchmark Unresolved cited work

Reference 9

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Observation bdb71b62-b7c0-4ae4-bc2c-d7b4af0d3363 · outbound

This paper cites EMOVOME: A Dataset for Emotion Recognition in Spontaneous Real-Life Speech.

SpEmoC: A Balanced Speaker-Segment Multimodal Emotion Benchmark EMOVOME: A Dataset for Emotion Recognition in Spontaneous Real-Life Speech

Reference 10

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Observation 863eeaf3-c17f-454b-bc76-e812b0775b45 · outbound

This paper cites In: Proceedings of the 28th ACM international conference on multimedia.

SpEmoC: A Balanced Speaker-Segment Multimodal Emotion Benchmark In: Proceedings of the 28th ACM international conference on multimedia

Reference 11

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Observation c54ce121-a987-49f8-9b53-7f55296db70c · outbound

This paper cites biometrics pp.

SpEmoC: A Balanced Speaker-Segment Multimodal Emotion Benchmark biometrics pp

Reference 12

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Observation 10855402-6695-4ee2-8f08-4fb617f0272d · outbound

This paper cites In: Proceedings of the IEEE/CVF international conference on computer vision.

SpEmoC: A Balanced Speaker-Segment Multimodal Emotion Benchmark In: Proceedings of the IEEE/CVF international conference on computer vision

Reference 13

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Observation 703481dd-f506-40ac-8e66-cfae3ae1f501 · outbound

This paper cites In: Proceedings of the IEEE conference on computer vision and pattern recognition.

SpEmoC: A Balanced Speaker-Segment Multimodal Emotion Benchmark In: Proceedings of the IEEE conference on computer vision and pattern recognition

Reference 14

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Observation 25636af8-aac0-4249-bb46-6daf067b005d · outbound

This paper cites PLOS ONE13(5), e0196391 (2018).

SpEmoC: A Balanced Speaker-Segment Multimodal Emotion Benchmark PLOS ONE13(5), e0196391 (2018)

Reference 15

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Observation c3bccdd9-99a4-44cf-8b20-c253c5b12f25 · outbound

This paper cites In: 2011 IEEE International Conference on Automatic Face & Gesture Recognition (FG).

SpEmoC: A Balanced Speaker-Segment Multimodal Emotion Benchmark In: 2011 IEEE International Conference on Automatic Face & Gesture Recognition (FG)

Reference 16

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source=pdf_text observed=2026-08-01T16:07:20.799609Z digest=sha256:123116d79a45f4854f3fe5ca2c8008dd53c1e1152fbbd87e81e97d4e9354e05f

Observation c34ba2fe-ab62-4fd3-8175-b928e36e1eba · outbound

This paper cites Proceedings of the 18th ACM International Conference on Multimodal Interaction (ICMI) pp.

SpEmoC: A Balanced Speaker-Segment Multimodal Emotion Benchmark Proceedings of the 18th ACM International Conference on Multimodal Interaction (ICMI) pp

Reference 17

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source=pdf_text observed=2026-08-01T16:07:20.802712Z digest=sha256:e73a58968c3100eafb777b1d7cc1fb3a8370f648781f1eabd966ecccdf88623f

Observation cb20c042-e30c-41a7-a0b6-e9fd2ad513df · outbound

This paper cites MIT Press, Cambridge, MA (1997),https: //direct.mit.edu/books/monograph/4296/Affective-Computing, accessed: 29 June 2026.

SpEmoC: A Balanced Speaker-Segment Multimodal Emotion Benchmark MIT Press, Cambridge, MA (1997),https: //direct.mit.edu/books/monograph/4296/Affective-Computing, accessed: 29 June 2026

Reference 18

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Observation 7dec5bc0-424c-4082-bd5d-29a88d3dfdac · outbound

This paper cites Information Fusion37, 98–125 (2017).

SpEmoC: A Balanced Speaker-Segment Multimodal Emotion Benchmark Information Fusion37, 98–125 (2017)

Reference 19

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Observation c7c861b5-278a-4890-ab38-604fa97cc44d · outbound

This paper cites In: Proceedings of the 57th annual meeting of the association for computational lin- guistics.

SpEmoC: A Balanced Speaker-Segment Multimodal Emotion Benchmark In: Proceedings of the 57th annual meeting of the association for computational lin- guistics

Reference 20

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Observation 54a360a0-ced9-4824-ba27-bd4f9f10a36b · outbound

This paper cites In: International conference on machine learning.

SpEmoC: A Balanced Speaker-Segment Multimodal Emotion Benchmark In: International conference on machine learning

Reference 21

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source=pdf_text observed=2026-08-01T16:07:20.815793Z digest=sha256:cf5f95cf9b5f7285edf73a614a58f13c5943a4372164ba08bf59e963f57955a5

Observation 994571c1-5f9e-44fe-ad47-af63dc949054 · outbound

This paper cites DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter.

SpEmoC: A Balanced Speaker-Segment Multimodal Emotion Benchmark DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter

Reference 22

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source=pdf_text observed=2026-08-01T16:07:20.819011Z digest=sha256:8796716a508f74b77c1a6c3eff2b2df42e826169ecb9e9cc054dfcd88cdc188d

Observation a7241ebd-00f5-4026-97de-5902fe6b9f10 · outbound

This paper cites Speech communication53(9-10), 1062–1087 (2011).

SpEmoC: A Balanced Speaker-Segment Multimodal Emotion Benchmark Speech communication53(9-10), 1062–1087 (2011)

Reference 23

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Observation 000afc25-862c-4665-a060-8db841c3291e · outbound

This paper cites In: Findings of the Association for Computational Linguistics: ACL.

SpEmoC: A Balanced Speaker-Segment Multimodal Emotion Benchmark In: Findings of the Association for Computational Linguistics: ACL

Reference 24

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Observation 6b91eb89-2380-43d9-b682-cdf803f54c0f · outbound

This paper cites In: Pro- ceedingsofthe57thannualmeetingoftheassociationforcomputationallinguistics.

SpEmoC: A Balanced Speaker-Segment Multimodal Emotion Benchmark In: Pro- ceedingsofthe57thannualmeetingoftheassociationforcomputationallinguistics

Reference 25

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Observation b460f5d3-d567-4006-b06f-9bdac8ec307b · outbound

This paper cites In: 2024 International Conference on Ad- vances in Data Engineering and Intelligent Computing Systems (ADICS).

SpEmoC: A Balanced Speaker-Segment Multimodal Emotion Benchmark In: 2024 International Conference on Ad- vances in Data Engineering and Intelligent Computing Systems (ADICS)

Reference 26

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source=pdf_text observed=2026-08-01T16:07:20.835298Z digest=sha256:fd39b116c57a7dceb545b1f7cace7f3b4130d03a7c49394a5c366ee8c6578b98

Observation f9f3549d-d9b4-4dce-abcb-d026b05bccaf · outbound

This paper cites IEEE Intelligent Systems28(3), 46–53 (2013).

SpEmoC: A Balanced Speaker-Segment Multimodal Emotion Benchmark IEEE Intelligent Systems28(3), 46–53 (2013)

Reference 27

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Observation b3314564-2bb8-4298-8611-f9ac2c5b03aa · outbound

This paper cites In: Proceedings of the 56th Annual Meeting of the Association for Compu- tational Linguistics (Volume 1: Long Papers).

SpEmoC: A Balanced Speaker-Segment Multimodal Emotion Benchmark In: Proceedings of the 56th Annual Meeting of the Association for Compu- tational Linguistics (Volume 1: Long Papers)

Reference 28

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Observation ed4bec06-ab96-4d01-bcd0-ad14d706293f · outbound

This paper cites In: Proceedings of the European conference on computer vision (ECCV).

SpEmoC: A Balanced Speaker-Segment Multimodal Emotion Benchmark In: Proceedings of the European conference on computer vision (ECCV)

Reference 29

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Observation df0b730d-1162-4dd9-aef6-4a852e471284 · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.

SpEmoC: A Balanced Speaker-Segment Multimodal Emotion Benchmark In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 30

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Observation 03b102d5-b37d-484e-a574-8bc093bc4df8 · outbound

This paper cites In: Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers).

SpEmoC: A Balanced Speaker-Segment Multimodal Emotion Benchmark In: Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Reference 31

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Observation 84867150-3d52-4d03-8b5a-adb54caa8299 · outbound

This paper cites In: Proceedings of the AAAI conference on artificial intelligence.

SpEmoC: A Balanced Speaker-Segment Multimodal Emotion Benchmark In: Proceedings of the AAAI conference on artificial intelligence

Reference 32

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Observation 61992088-b986-4f29-877d-901c58583b5f · outbound

This paper cites 9054–9071 (2026).

SpEmoC: A Balanced Speaker-Segment Multimodal Emotion Benchmark 9054–9071 (2026)

Reference 2026

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Pith citing papers

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