Paper Citation Record · LEDGER

EmotionRankCLAP: Bridging Natural Language Speaking Styles and Ordinal Speech Emotion via Rank-N-Contrast

As of 8 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 1 inbound Pith citation observation for arXiv:2505.23732.

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

pith.paper-citation-record.v1
2505.23732 v1

Coverage vector

measured 47 of 47 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:45:10.682141Z

measured 48 of 48 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 2026-08-07T12:45:06.270213Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T12:45:11.569332Z

Reference resolution

47 of 47 outbound references displayed

verified exact3
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 33cee402-3966-4ad3-933b-6f56195b43bd · outbound

This paper cites EmotionRankCLAP: Bridging Natural Language Speaking Styles and Ordinal Speech Emotion via Rank-N-Contrast.

EmotionRankCLAP: Bridging Natural Language Speaking Styles and Ordinal Speech Emotion via Rank-N-Contrast EmotionRankCLAP: Bridging Natural Language Speaking Styles and Ordinal Speech Emotion via Rank-N-Contrast

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-08-07T12:45:11.658103Z

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Observation 01fd352f-f47a-482d-87c2-4c86473a66ad · outbound

This paper cites Cross-modal contrastive learning Contrastive learning has proven to be an effective approach for aligning multiple modalities in shared representation spaces [5, 14, 18].

EmotionRankCLAP: Bridging Natural Language Speaking Styles and Ordinal Speech Emotion via Rank-N-Contrast Cross-modal contrastive learning Contrastive learning has proven to be an effective approach for aligning multiple modalities in shared representation spaces [5, 14, 18]

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:45:19.051875Z

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Observation a9641ef7-fbf0-427e-9c1e-532b00cd97d7 · outbound

This paper cites High-valence, high arousal caption.

EmotionRankCLAP: Bridging Natural Language Speaking Styles and Ordinal Speech Emotion via Rank-N-Contrast High-valence, high arousal caption

Reference 3

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EmotionRankCLAP: Bridging Natural Language Speaking Styles and Ordinal Speech Emotion via Rank-N-Contrast Unresolved cited work

Reference 4

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This paper cites This makes X t 2 and X t 3 negative samples since d(X a 1 , Xt.

EmotionRankCLAP: Bridging Natural Language Speaking Styles and Ordinal Speech Emotion via Rank-N-Contrast This makes X t 2 and X t 3 negative samples since d(X a 1 , Xt

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:45:18.491713Z

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EmotionRankCLAP: Bridging Natural Language Speaking Styles and Ordinal Speech Emotion via Rank-N-Contrast Unresolved cited work

Reference 6

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Observation 70596a97-20e6-49fb-b69b-18b3bacbdfbf · outbound

This paper cites Similarly, when X t 2 forms a positive pair with X a 1 , X t 3 is a negative sample since d(X a 1 , Xt.

EmotionRankCLAP: Bridging Natural Language Speaking Styles and Ordinal Speech Emotion via Rank-N-Contrast Similarly, when X t 2 forms a positive pair with X a 1 , X t 3 is a negative sample since d(X a 1 , Xt

Reference 7

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Observation b432341f-8e8b-41a4-9320-5f7d736283d1 · outbound

This paper cites In this case, X t 1 is not a negative sample since d(X a 1 , Xt.

EmotionRankCLAP: Bridging Natural Language Speaking Styles and Ordinal Speech Emotion via Rank-N-Contrast In this case, X t 1 is not a negative sample since d(X a 1 , Xt

Reference 8

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Observation 610bd38c-8be7-47f1-98a6-9baa4045b57f · outbound

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EmotionRankCLAP: Bridging Natural Language Speaking Styles and Ordinal Speech Emotion via Rank-N-Contrast Unresolved cited work

Reference 9

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EmotionRankCLAP: Bridging Natural Language Speaking Styles and Ordinal Speech Emotion via Rank-N-Contrast Unresolved cited work

Reference 10

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Observation 7e7329cd-010e-4a4d-b4b8-0068b009ccdb · outbound

This paper cites We generate natural language speaking style de- scriptions using dimensional attributes of speech emotion and we show that this is crucial in preserving emotion ordinality.

EmotionRankCLAP: Bridging Natural Language Speaking Styles and Ordinal Speech Emotion via Rank-N-Contrast We generate natural language speaking style de- scriptions using dimensional attributes of speech emotion and we show that this is crucial in preserving emotion ordinality

Reference 11

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EmotionRankCLAP: Bridging Natural Language Speaking Styles and Ordinal Speech Emotion via Rank-N-Contrast Unresolved cited work

Reference 12

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Observation f1ab5fb4-97be-4fd7-9940-f49b056ccaee · outbound

This paper cites Core affect and the psychological construction of emotion.

EmotionRankCLAP: Bridging Natural Language Speaking Styles and Ordinal Speech Emotion via Rank-N-Contrast Core affect and the psychological construction of emotion

Reference 13

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Observation 5e5f80f8-9257-470b-814d-9b7522816db3 · outbound

This paper cites The ordinal nature of emotions: An emerging approach,.

EmotionRankCLAP: Bridging Natural Language Speaking Styles and Ordinal Speech Emotion via Rank-N-Contrast The ordinal nature of emotions: An emerging approach,

Reference 14

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Observation 4c22400e-f7f0-4217-9ec2-552dce18fa90 · outbound

This paper cites Ranking emotional attributes with deep neural networks,.

EmotionRankCLAP: Bridging Natural Language Speaking Styles and Ordinal Speech Emotion via Rank-N-Contrast Ranking emotional attributes with deep neural networks,

Reference 15

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Observation d80b21c5-c411-43b8-a93f-18e6d97fad5b · outbound

This paper cites Don’t classify ratings of affect; rank them!.

EmotionRankCLAP: Bridging Natural Language Speaking Styles and Ordinal Speech Emotion via Rank-N-Contrast Don’t classify ratings of affect; rank them!

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:45:16.712224Z

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Observation ca2ce414-91f8-4101-a21b-ff99ad465fb6 · outbound

This paper cites Clap learning audio concepts from natural language supervision,.

EmotionRankCLAP: Bridging Natural Language Speaking Styles and Ordinal Speech Emotion via Rank-N-Contrast Clap learning audio concepts from natural language supervision,

Reference 17

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Observation 2a235020-82e0-4ba9-8f22-f41861cf5135 · outbound

This paper cites Training audio captioning models without audio,.

EmotionRankCLAP: Bridging Natural Language Speaking Styles and Ordinal Speech Emotion via Rank-N-Contrast Training audio captioning models without audio,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:45:16.555766Z

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Observation 9af56f05-7a79-477d-93ac-98503863693c · outbound

This paper cites Reclap: Improving zero shot audio classifica- tion by describing sounds,.

EmotionRankCLAP: Bridging Natural Language Speaking Styles and Ordinal Speech Emotion via Rank-N-Contrast Reclap: Improving zero shot audio classifica- tion by describing sounds,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:45:16.436011Z

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Observation 596eda94-5843-46c3-92bb-f4d209378702 · outbound

This paper cites Audio retrieval with wavtext5k and clap training,.

EmotionRankCLAP: Bridging Natural Language Speaking Styles and Ordinal Speech Emotion via Rank-N-Contrast Audio retrieval with wavtext5k and clap training,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:45:16.320479Z

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Observation 62434e40-8a75-4e85-9e06-bad26bb6fd41 · outbound

This paper cites Gemo-clap: Gender-attribute-enhanced contrastive language- audio pretraining for accurate speech emotion recognition,.

EmotionRankCLAP: Bridging Natural Language Speaking Styles and Ordinal Speech Emotion via Rank-N-Contrast Gemo-clap: Gender-attribute-enhanced contrastive language- audio pretraining for accurate speech emotion recognition,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:45:16.136929Z

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Observation 6844ad37-59b2-4f93-a12b-17fcb56aaa86 · outbound

This paper cites Enhancing Emotional Text-to-Speech Controllability with Natural Language Guidance through Contrastive Learning and Diffusion Models.

EmotionRankCLAP: Bridging Natural Language Speaking Styles and Ordinal Speech Emotion via Rank-N-Contrast Enhancing Emotional Text-to-Speech Controllability with Natural Language Guidance through Contrastive Learning and Diffusion Models

Reference 22

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Observation 9e9ba375-3611-4250-a2d6-cdc0cfee46e5 · outbound

This paper cites Prompting audios using acoustic properties for emotion representation,.

EmotionRankCLAP: Bridging Natural Language Speaking Styles and Ordinal Speech Emotion via Rank-N-Contrast Prompting audios using acoustic properties for emotion representation,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:45:15.898148Z

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Observation e2c61d06-d708-429a-919e-3220a49b63cf · outbound

This paper cites Paraclap – to- wards a general language-audio model for computational paralin- guistic tasks,.

EmotionRankCLAP: Bridging Natural Language Speaking Styles and Ordinal Speech Emotion via Rank-N-Contrast Paraclap – to- wards a general language-audio model for computational paralin- guistic tasks,

Reference 24

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This paper cites Clap4emo: Chatgpt-assisted speech emotion retrieval with natural language supervision,.

EmotionRankCLAP: Bridging Natural Language Speaking Styles and Ordinal Speech Emotion via Rank-N-Contrast Clap4emo: Chatgpt-assisted speech emotion retrieval with natural language supervision,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:45:15.373346Z

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Observation c84319e5-91e6-496a-ad11-88042e180745 · outbound

This paper cites Learning transferable visual models from natural language supervision,.

EmotionRankCLAP: Bridging Natural Language Speaking Styles and Ordinal Speech Emotion via Rank-N-Contrast Learning transferable visual models from natural language supervision,

Reference 26

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Observation acb158b6-8d57-48aa-b0fc-c5b085e52804 · outbound

This paper cites Explaining and mitigat- ing the modality gap in contrastive multimodal learning,.

EmotionRankCLAP: Bridging Natural Language Speaking Styles and Ordinal Speech Emotion via Rank-N-Contrast Explaining and mitigat- ing the modality gap in contrastive multimodal learning,

Reference 27

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Observation 0e463160-fcfc-4847-864c-b0bea824c439 · outbound

This paper cites Rank-n-contrast: learning continuous representations for regression,.

EmotionRankCLAP: Bridging Natural Language Speaking Styles and Ordinal Speech Emotion via Rank-N-Contrast Rank-n-contrast: learning continuous representations for regression,

Reference 28

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Observation d5b466a4-4264-4b72-b741-d071cdc861d7 · outbound

This paper cites Building naturalistic emotionally bal- anced speech corpus by retrieving emotional speech from existing podcast recordings,.

EmotionRankCLAP: Bridging Natural Language Speaking Styles and Ordinal Speech Emotion via Rank-N-Contrast Building naturalistic emotionally bal- anced speech corpus by retrieving emotional speech from existing podcast recordings,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:45:14.736275Z

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Observation 864ae885-d868-4635-958b-e270237ae04f · outbound

This paper cites Large-scale contrastive language-audio pretraining with feature fusion and keyword-to-caption augmentation,.

EmotionRankCLAP: Bridging Natural Language Speaking Styles and Ordinal Speech Emotion via Rank-N-Contrast Large-scale contrastive language-audio pretraining with feature fusion and keyword-to-caption augmentation,

Reference 30

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This paper cites Supervised contrastive learning,.

EmotionRankCLAP: Bridging Natural Language Speaking Styles and Ordinal Speech Emotion via Rank-N-Contrast Supervised contrastive learning,

Reference 31

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This paper cites Emotion- aligned contrastive learning between images and music,.

EmotionRankCLAP: Bridging Natural Language Speaking Styles and Ordinal Speech Emotion via Rank-N-Contrast Emotion- aligned contrastive learning between images and music,

Reference 32

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This paper cites Audiocaps: Generat- ing captions for audios in the wild,.

EmotionRankCLAP: Bridging Natural Language Speaking Styles and Ordinal Speech Emotion via Rank-N-Contrast Audiocaps: Generat- ing captions for audios in the wild,

Reference 33

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Observation 5b5d3e63-f6b8-439a-ab2d-f0034b509ce6 · outbound

This paper cites LLM supervised Pre-training for Multimodal Emotion Recognition in Conversations.

EmotionRankCLAP: Bridging Natural Language Speaking Styles and Ordinal Speech Emotion via Rank-N-Contrast LLM supervised Pre-training for Multimodal Emotion Recognition in Conversations

Reference 34

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Observation 02584017-e2a6-4996-8ce5-891a91d0efe0 · outbound

This paper cites Empower typed descriptions by large language models for speech emotion recognition,.

EmotionRankCLAP: Bridging Natural Language Speaking Styles and Ordinal Speech Emotion via Rank-N-Contrast Empower typed descriptions by large language models for speech emotion recognition,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:45:13.645175Z

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This paper cites Secap: Speech emotion captioning with large language model,.

EmotionRankCLAP: Bridging Natural Language Speaking Styles and Ordinal Speech Emotion via Rank-N-Contrast Secap: Speech emotion captioning with large language model,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:45:13.369745Z

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Observation 61959cc5-dd41-46db-8cb1-b7f22fb87d15 · outbound

This paper cites AlignCap: Aligning Speech Emotion Captioning to Human Preferences.

EmotionRankCLAP: Bridging Natural Language Speaking Styles and Ordinal Speech Emotion via Rank-N-Contrast AlignCap: Aligning Speech Emotion Captioning to Human Preferences

Reference 37

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Observation f9d5cd5e-2b90-49ff-9498-2d7499fbfccc · outbound

This paper cites Instructtts: Modelling expressive tts in discrete latent space with natural lan- guage style prompt,.

EmotionRankCLAP: Bridging Natural Language Speaking Styles and Ordinal Speech Emotion via Rank-N-Contrast Instructtts: Modelling expressive tts in discrete latent space with natural lan- guage style prompt,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:45:13.107308Z

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This paper cites Odyssey 2024-speech emotion recognition challenge: Dataset, baseline framework, and results,.

EmotionRankCLAP: Bridging Natural Language Speaking Styles and Ordinal Speech Emotion via Rank-N-Contrast Odyssey 2024-speech emotion recognition challenge: Dataset, baseline framework, and results,

Reference 39

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Observation fdcf2a53-7755-47cf-8f54-cb0fab158864 · outbound

This paper cites Emotion english distilroberta-base,.

EmotionRankCLAP: Bridging Natural Language Speaking Styles and Ordinal Speech Emotion via Rank-N-Contrast Emotion english distilroberta-base,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:45:12.867140Z

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Observation 30ee1790-be3a-49fa-827e-ad3ed1d764ee · outbound

This paper cites Iemocap: Interactive emotional dyadic motion capture database,.

EmotionRankCLAP: Bridging Natural Language Speaking Styles and Ordinal Speech Emotion via Rank-N-Contrast Iemocap: Interactive emotional dyadic motion capture database,

Reference 41

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This paper cites GPT-4 Technical Report.

EmotionRankCLAP: Bridging Natural Language Speaking Styles and Ordinal Speech Emotion via Rank-N-Contrast GPT-4 Technical Report

Reference 42

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Observation c0f7b58a-0b1b-447f-b08a-a9993df838a8 · outbound

This paper cites Crowdsourcing a word- emotion association lexicon,.

EmotionRankCLAP: Bridging Natural Language Speaking Styles and Ordinal Speech Emotion via Rank-N-Contrast Crowdsourcing a word- emotion association lexicon,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:45:12.581724Z

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Observation 1c7d99d8-94b6-4dce-92fd-adc5a859369f · outbound

This paper cites Introducing Parsel- mouth: A Python interface to Praat,.

EmotionRankCLAP: Bridging Natural Language Speaking Styles and Ordinal Speech Emotion via Rank-N-Contrast Introducing Parsel- mouth: A Python interface to Praat,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:45:12.329223Z

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Observation 2385c34d-ca79-4ae2-a9e5-3af152268e18 · outbound

This paper cites A kernel two-sample test,.

EmotionRankCLAP: Bridging Natural Language Speaking Styles and Ordinal Speech Emotion via Rank-N-Contrast A kernel two-sample test,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:45:12.122636Z

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Observation ca7e0c55-28bb-464a-a227-a540f659f37d · outbound

This paper cites Computational optimal transport,.

EmotionRankCLAP: Bridging Natural Language Speaking Styles and Ordinal Speech Emotion via Rank-N-Contrast Computational optimal transport,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:45:11.905376Z

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Observation dd93fb91-5072-4b0c-a999-7d6b73c3d991 · outbound

This paper cites A new measure of rank correlation,.

EmotionRankCLAP: Bridging Natural Language Speaking Styles and Ordinal Speech Emotion via Rank-N-Contrast A new measure of rank correlation,

Reference 47

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