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Paper Citation Record · LEDGER

EmoScene: A Dual-space Dataset for Controllable Affective Image Generation

As of 21 August 2026, this Paper Citation Record lists 57 of 57 outbound references and 0 inbound Pith citation observations for arXiv:2604.00933.

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

pith.paper-citation-record.v1
2604.00933 v2

Coverage vector

measured 57 of 57 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T05:37:55.364397Z

measured 57 of 57 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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

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Reference resolution

57 of 57 outbound references displayed

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Outbound references

Observation 2fbb5bee-a97f-45c9-96af-e494be89b809 · outbound

This paper cites Univ of California Press, 1954.

EmoScene: A Dual-space Dataset for Controllable Affective Image Generation Univ of California Press, 1954

Reference 1

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Observation d9525246-8836-450a-a602-7297622cb35a · outbound

This paper cites Univ of California Press, 2023.

EmoScene: A Dual-space Dataset for Controllable Affective Image Generation Univ of California Press, 2023

Reference 2

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Observation 4c104321-6d75-45f1-bcb9-5ef1b56c2175 · outbound

This paper cites A comprehensive survey on affective computing: Challenges, trends, applications, and future directions.IEEE access, 12:96150–96168, 2024.

EmoScene: A Dual-space Dataset for Controllable Affective Image Generation A comprehensive survey on affective computing: Challenges, trends, applications, and future directions.IEEE access, 12:96150–96168, 2024

Reference 3

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Observation c3994842-42a8-4ef5-bf55-c4226fc3bd20 · outbound

This paper cites A systematic review on affective computing: Emotion models, databases, and recent advances.Information Fusion, 83:19–52, 2022.

EmoScene: A Dual-space Dataset for Controllable Affective Image Generation A systematic review on affective computing: Emotion models, databases, and recent advances.Information Fusion, 83:19–52, 2022

Reference 4

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Observation b4659e9d-f65d-4ad4-93be-e148d86361e7 · outbound

This paper cites Emotions in the Loop: A Survey of Affective Computing for Emotional Support.

EmoScene: A Dual-space Dataset for Controllable Affective Image Generation Emotions in the Loop: A Survey of Affective Computing for Emotional Support

Reference 5

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Observation e5f8ac06-2b2e-4002-a7b4-9169c49abfd3 · outbound

This paper cites A review of human emotion synthesis based on generative technology.

EmoScene: A Dual-space Dataset for Controllable Affective Image Generation A review of human emotion synthesis based on generative technology

Reference 6

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Observation 6c4067b4-65ce-4c0d-9663-9eb0314b685e · outbound

This paper cites Gpt-4v with emotion: A zero-shot benchmark for generalized emotion recognition.

EmoScene: A Dual-space Dataset for Controllable Affective Image Generation Gpt-4v with emotion: A zero-shot benchmark for generalized emotion recognition

Reference 7

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Observation 4957a626-d972-40db-b872-38209d83fa64 · outbound

This paper cites Pixart-α: Fast training of diffusion transformer for photorealistic text-to-image synthesis.

EmoScene: A Dual-space Dataset for Controllable Affective Image Generation Pixart-α: Fast training of diffusion transformer for photorealistic text-to-image synthesis

Reference 8

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Observation 63f9bc40-804d-440f-b078-c284791897e8 · outbound

This paper cites eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers.

EmoScene: A Dual-space Dataset for Controllable Affective Image Generation eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 9

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Observation 751e90ec-ab22-40ce-b5c9-55e34e19ec30 · outbound

This paper cites Photorealistic text-to-image diffusion models with deep language understanding.Advances in neural information processing systems, 35:36479–36494, 2022.

EmoScene: A Dual-space Dataset for Controllable Affective Image Generation Photorealistic text-to-image diffusion models with deep language understanding.Advances in neural information processing systems, 35:36479–36494, 2022

Reference 10

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Observation be6c66e6-3f5b-48ba-b4c2-9b0a6f418e89 · outbound

This paper cites High- resolution image synthesis with latent diffusion models.

EmoScene: A Dual-space Dataset for Controllable Affective Image Generation High- resolution image synthesis with latent diffusion models

Reference 11

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Observation 98a3562d-e713-477e-8168-7fb109f44113 · outbound

This paper cites Emoset: A large-scale visual emotion dataset with rich attributes.

EmoScene: A Dual-space Dataset for Controllable Affective Image Generation Emoset: A large-scale visual emotion dataset with rich attributes

Reference 12

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Observation 80e72c73-2556-4251-95bc-5346a7b68b06 · outbound

This paper cites Emogen: Emotional image content generation with text-to-image diffusion models.

EmoScene: A Dual-space Dataset for Controllable Affective Image Generation Emogen: Emotional image content generation with text-to-image diffusion models

Reference 13

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Observation 97bcae04-0a04-45c5-9d3e-04610fbe54fb · outbound

This paper cites Emoti- crafter: Text-to-emotional-image generation based on valence-arousal model.arXiv preprint arXiv:2501.05710, 2025.

EmoScene: A Dual-space Dataset for Controllable Affective Image Generation Emoti- crafter: Text-to-emotional-image generation based on valence-arousal model.arXiv preprint arXiv:2501.05710, 2025

Reference 14

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Observation cc540f8b-e4d8-48a5-a2a1-5c309b9968c8 · outbound

This paper cites Emoprefer: Can large language models understand human emotion preferences?arXiv preprint arXiv:2507.04278, 2025.

EmoScene: A Dual-space Dataset for Controllable Affective Image Generation Emoprefer: Can large language models understand human emotion preferences?arXiv preprint arXiv:2507.04278, 2025

Reference 15

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Observation acf468d5-ad55-45db-840d-9359f1edbf82 · outbound

This paper cites Com- prehensive exploration of diffusion models in image generation: a survey.Artificial Intelligence Review, 58(4):99, 2025.

EmoScene: A Dual-space Dataset for Controllable Affective Image Generation Com- prehensive exploration of diffusion models in image generation: a survey.Artificial Intelligence Review, 58(4):99, 2025

Reference 16

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Observation 5ebe16dd-ffd8-4332-8274-a89e6f0a5f48 · outbound

This paper cites Affective Computing in the Era of Large Language Models: A Survey from the NLP Perspective.

EmoScene: A Dual-space Dataset for Controllable Affective Image Generation Affective Computing in the Era of Large Language Models: A Survey from the NLP Perspective

Reference 17

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Observation b3be88ba-0935-429b-95f3-d4df22081421 · outbound

This paper cites A mixed bag of emotions: Model, predict, and transfer emotion distributions.

EmoScene: A Dual-space Dataset for Controllable Affective Image Generation A mixed bag of emotions: Model, predict, and transfer emotion distributions

Reference 19

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Observation 5c83da3c-1f7c-4462-9401-0c38bafbf23e · outbound

This paper cites Building a large scale dataset for image emotion recognition: The fine print and the benchmark.

EmoScene: A Dual-space Dataset for Controllable Affective Image Generation Building a large scale dataset for image emotion recognition: The fine print and the benchmark

Reference 20

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Observation 6f7e4715-e089-4698-abd4-0e5662522ee6 · outbound

This paper cites Predicting person- alized image emotion perceptions in social networks.IEEE transactions on affective computing, 9(4):526–540, 2016.

EmoScene: A Dual-space Dataset for Controllable Affective Image Generation Predicting person- alized image emotion perceptions in social networks.IEEE transactions on affective computing, 9(4):526–540, 2016

Reference 21

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Observation c68cca19-317a-4e78-a64d-011adb2ea564 · outbound

This paper cites Emotic: Emotions in context dataset.

EmoScene: A Dual-space Dataset for Controllable Affective Image Generation Emotic: Emotions in context dataset

Reference 22

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Observation 32aa37a8-11a9-4ff5-b039-8293de0b5034 · outbound

This paper cites Affectnet: A database for facial expression, valence, and arousal computing in the wild.IEEE Transactions on Affective Computing, 10(1):18–31, 2017.

EmoScene: A Dual-space Dataset for Controllable Affective Image Generation Affectnet: A database for facial expression, valence, and arousal computing in the wild.IEEE Transactions on Affective Computing, 10(1):18–31, 2017

Reference 23

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Observation 3a59a5f5-b003-465b-85f9-c22c9c2d1461 · outbound

This paper cites Introducing the open affective stan- dardized image set (oasis).Behavior research methods, 49(2):457–470, 2017.

EmoScene: A Dual-space Dataset for Controllable Affective Image Generation Introducing the open affective stan- dardized image set (oasis).Behavior research methods, 49(2):457–470, 2017

Reference 24

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Observation ccede34f-b815-45cc-a3a1-6da5021b8b01 · outbound

This paper cites Artemis: Affectivelanguageforvisualart.

EmoScene: A Dual-space Dataset for Controllable Affective Image Generation Artemis: Affectivelanguageforvisualart

Reference 25

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Observation 1db7d683-27c4-4849-8462-6ec36b79f415 · outbound

This paper cites Emotion recognition for multiple context awareness.

EmoScene: A Dual-space Dataset for Controllable Affective Image Generation Emotion recognition for multiple context awareness

Reference 26

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Observation 2d6bfe12-d0de-4542-9469-94527ab20476 · outbound

This paper cites Findingemo: An image dataset for emotion recognition in the wild.Advances in Neural Infor- mation Processing Systems, 37:4956–4996, 2024.

EmoScene: A Dual-space Dataset for Controllable Affective Image Generation Findingemo: An image dataset for emotion recognition in the wild.Advances in Neural Infor- mation Processing Systems, 37:4956–4996, 2024

Reference 27

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Observation 2082a629-227b-42cf-918d-ac416f68e1ea · outbound

This paper cites Affective image classification using features inspired by psychology and art theory.

EmoScene: A Dual-space Dataset for Controllable Affective Image Generation Affective image classification using features inspired by psychology and art theory

Reference 28

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Observation fddcdf45-ff64-4af2-9ebe-c12d41526782 · outbound

This paper cites Ferv39k: A large-scale multi-scene dataset for facial expression recognition in videos.

EmoScene: A Dual-space Dataset for Controllable Affective Image Generation Ferv39k: A large-scale multi-scene dataset for facial expression recognition in videos

Reference 29

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Observation 44119a72-5292-4c0f-8e31-afa27a218507 · outbound

This paper cites Ctnet: Conversational transformer network for emotion recognition.IEEE/ACM Transactions on Audio, Speech, and Language Processing, 29:985– 1000, 2021.

EmoScene: A Dual-space Dataset for Controllable Affective Image Generation Ctnet: Conversational transformer network for emotion recognition.IEEE/ACM Transactions on Audio, Speech, and Language Processing, 29:985– 1000, 2021

Reference 30

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Observation ea102458-cf2c-43ac-b5f5-62293c36b6f1 · outbound

This paper cites Emotion-llama: Multimodal emotion recognition and rea- soningwithinstructiontuning.Advances in Neural Information Processing Systems, 37:110805– 110853, 2024.

EmoScene: A Dual-space Dataset for Controllable Affective Image Generation Emotion-llama: Multimodal emotion recognition and rea- soningwithinstructiontuning.Advances in Neural Information Processing Systems, 37:110805– 110853, 2024

Reference 31

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Observation c2f9b9de-bdd4-46ab-801b-ae14f1a2d96e · outbound

This paper cites Multimodal cross-and self-attention network for speech emotion recognition.

EmoScene: A Dual-space Dataset for Controllable Affective Image Generation Multimodal cross-and self-attention network for speech emotion recognition

Reference 32

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Observation 8692b694-38e6-4403-a8bc-cde756239f06 · outbound

This paper cites Dpcnet: Dual path multi-excitation collaborative network for facial expression representation learning in videos.

EmoScene: A Dual-space Dataset for Controllable Affective Image Generation Dpcnet: Dual path multi-excitation collaborative network for facial expression representation learning in videos

Reference 33

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Observation c0f3f0c9-cfea-4ea4-8267-7465cfb5aeb8 · outbound

This paper cites Emotion recognition from multiple modalities: Fundamentals and methodologies.IEEE Signal Processing Magazine, 38(6):59–73, 2021.

EmoScene: A Dual-space Dataset for Controllable Affective Image Generation Emotion recognition from multiple modalities: Fundamentals and methodologies.IEEE Signal Processing Magazine, 38(6):59–73, 2021

Reference 34

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Observation b1d141b0-a596-4704-b11f-09e4471e1085 · outbound

This paper cites MERBench: A Unified Evaluation Benchmark for Multimodal Emotion Recognition.

EmoScene: A Dual-space Dataset for Controllable Affective Image Generation MERBench: A Unified Evaluation Benchmark for Multimodal Emotion Recognition

Reference 35

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Observation cebf0b48-decb-4cbc-b3c6-3ecbbb4fece5 · outbound

This paper cites Emoe: Modality- specific enhanced dynamic emotion experts.

EmoScene: A Dual-space Dataset for Controllable Affective Image Generation Emoe: Modality- specific enhanced dynamic emotion experts

Reference 36

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source=pdf_text observed=2026-08-04T05:37:55.017678Z digest=sha256:0a78a6169c9e9783d4d65cef2f5eb18b0a64a038f6141e57a86c61104d5721b7

Observation be8fcf10-c044-4b25-b896-df8f880e1738 · outbound

This paper cites Knowledge-based emotion recognition using large language models.

EmoScene: A Dual-space Dataset for Controllable Affective Image Generation Knowledge-based emotion recognition using large language models

Reference 37

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source=pdf_text observed=2026-08-04T05:37:55.034356Z digest=sha256:d4d6da9d54377df07ccb544640773c7311b86195b80ce2afbe4e70a3c338e6b0

Observation dea58148-e7ac-415a-9855-35c13186739d · outbound

This paper cites Towards Robust Multimodal Emotion Recognition under Missing Modalities and Distribution Shifts.

EmoScene: A Dual-space Dataset for Controllable Affective Image Generation Towards Robust Multimodal Emotion Recognition under Missing Modalities and Distribution Shifts

Reference 38

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source=pdf_text observed=2026-08-04T05:37:55.050255Z digest=sha256:31c36e76e1d11bdf01c6a7e50f6ac271cd553b7dbac061cffca1a00198dfb6f7

Observation 75e01256-4a17-48d5-ad45-2c443dd7bc01 · outbound

This paper cites Multimodal Emotion Recognition and Sentiment Analysis in Multi-Party Conversation Contexts.

EmoScene: A Dual-space Dataset for Controllable Affective Image Generation Multimodal Emotion Recognition and Sentiment Analysis in Multi-Party Conversation Contexts

Reference 39

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source=pdf_text observed=2026-08-04T05:37:55.065605Z digest=sha256:c77e5c29093909d70d2fcb427d83a428376f9c62221c9a344c8f3051783bfc49

Observation 2e16f097-783c-45ef-9939-98116c56c3f3 · outbound

This paper cites Affective image editing: Shaping emotional factors via text descriptions.arXiv preprint arXiv:2505.18699, 2025.

EmoScene: A Dual-space Dataset for Controllable Affective Image Generation Affective image editing: Shaping emotional factors via text descriptions.arXiv preprint arXiv:2505.18699, 2025

Reference 40

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source=pdf_text observed=2026-08-04T05:37:55.081118Z digest=sha256:18e5bdc33928e384eae0567e98518aa16ff76cc2112c099c431ae66bde7687a1

Observation 8fea2923-49b1-491c-add2-97e66e396370 · outbound

This paper cites A unified and interpretable emotion representation and expression generation.

EmoScene: A Dual-space Dataset for Controllable Affective Image Generation A unified and interpretable emotion representation and expression generation

Reference 41

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source=pdf_text observed=2026-08-04T05:37:55.094412Z digest=sha256:f9c8c2b9eae4d35fb999b7da180aef9064cba3b99d433f598732b3b70fb3488f

Observation 2e97bbe5-b5a9-4840-900f-c1db05914873 · outbound

This paper cites Schuller, and Kurt Keutzer.

EmoScene: A Dual-space Dataset for Controllable Affective Image Generation Schuller, and Kurt Keutzer

Reference 42

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source=pdf_text observed=2026-08-04T05:37:55.105847Z digest=sha256:6888d6f60d90edecb41ef5e903b76012340eebdcc827f02a704d018d6538d94c

Observation c44bf0bb-ef83-49a6-9454-c58bfec254f7 · outbound

This paper cites A survey on facial expression recognition of static and dynamic emotions, 2024.

EmoScene: A Dual-space Dataset for Controllable Affective Image Generation A survey on facial expression recognition of static and dynamic emotions, 2024

Reference 43

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source=pdf_text observed=2026-08-04T05:37:55.117322Z digest=sha256:38b2b0033e22eea70cae40c05e27ca3d75ee8ac2f5b0d5fb0160ab3d4a73d42e

Observation 0846376b-0e76-4716-9066-daabe10fd405 · outbound

This paper cites Affectgan: Affect-based gen- erative art driven by semantics.

EmoScene: A Dual-space Dataset for Controllable Affective Image Generation Affectgan: Affect-based gen- erative art driven by semantics

Reference 44

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source=pdf_text observed=2026-08-04T05:37:55.157851Z digest=sha256:717c7ed1719669eb87159883667ea8b3bb5528d41dbe8d703d901e0e265fee6e

Observation 143d550b-393e-43d6-b62d-6dbff7061b17 · outbound

This paper cites Adding conditional control to text-to-image diffusion models.

EmoScene: A Dual-space Dataset for Controllable Affective Image Generation Adding conditional control to text-to-image diffusion models

Reference 45

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source=pdf_text observed=2026-08-04T05:37:55.316145Z digest=sha256:e497821f211e79eb7b8b104caa8f59b1dddcd2d95659723e8ed776c15e4a5f3e

Observation 7a1f302e-1374-4f56-9ee0-07e0e1b37805 · outbound

This paper cites Emoedit: Evoking emotions through image manipulation.

EmoScene: A Dual-space Dataset for Controllable Affective Image Generation Emoedit: Evoking emotions through image manipulation

Reference 46

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source=pdf_text observed=2026-08-04T05:37:55.319808Z digest=sha256:381c6d3ba0191faaab2fcce66e7b2f061b4d98b42fdb207138403e31c860a90e

Observation 36eb95a8-a867-4381-991e-753a738d6713 · outbound

This paper cites EmoCtrl: Controllable Emotional Image Content Generation.

EmoScene: A Dual-space Dataset for Controllable Affective Image Generation EmoCtrl: Controllable Emotional Image Content Generation

Reference 47

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source=pdf_text observed=2026-08-04T05:37:55.323336Z digest=sha256:78d23b7a0f1603d74497999ca0a2670612b6009f76f5161be96bb07aadb0244e

Observation 6f0f3833-d77f-43cf-9750-45efe3924d7b · outbound

This paper cites EmoSpace: Immersive Affective Image Generation Guided by Fine-Grained Emotion Prototypes.

EmoScene: A Dual-space Dataset for Controllable Affective Image Generation EmoSpace: Immersive Affective Image Generation Guided by Fine-Grained Emotion Prototypes

Reference 48

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source=pdf_text observed=2026-08-04T05:37:55.327120Z digest=sha256:28d4229886b78009c63fd0d366a6e864e4c435e0476f461f2d2fabbed27d30ff

Observation 7051a159-d4c9-4214-b71c-5d50f10e72a8 · outbound

This paper cites Attrictrl: Fine-grained control of aesthetic attribute intensity in diffusion models.arXiv preprint arXiv:2508.02151, 2025.

EmoScene: A Dual-space Dataset for Controllable Affective Image Generation Attrictrl: Fine-grained control of aesthetic attribute intensity in diffusion models.arXiv preprint arXiv:2508.02151, 2025

Reference 49

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source=pdf_text observed=2026-08-04T05:37:55.331073Z digest=sha256:2c7bb351e7227862c8761b685186f4bc02b8ddb0642b7cda0678da521f43a58f

Observation b952dcf5-bcc0-49be-955b-49c53697d45e · outbound

This paper cites Jrdb-social: A multi- faceted robotic dataset for understanding of context and dynamics of human interactions within social groups.

EmoScene: A Dual-space Dataset for Controllable Affective Image Generation Jrdb-social: A multi- faceted robotic dataset for understanding of context and dynamics of human interactions within social groups

Reference 50

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source=pdf_text observed=2026-08-04T05:37:55.334543Z digest=sha256:d959083664aafac04aa1e5748cb91ae2f25d36efb67c0dbe3e9770e2ee67dce2

Observation 91d9a75c-7c0c-4306-8b8d-e6b040412637 · outbound

This paper cites Mod- eling thousands of human annotators for generalizable text-to-image person re-identification.

EmoScene: A Dual-space Dataset for Controllable Affective Image Generation Mod- eling thousands of human annotators for generalizable text-to-image person re-identification

Reference 51

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source=pdf_text observed=2026-08-04T05:37:55.337970Z digest=sha256:e0f076696fc2b387e6324a8655797e1043247e53209f5876a69530d3dbbd6385

Observation 2f1867df-cc10-4d13-9f1f-ce22c30cadb2 · outbound

This paper cites InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models.

EmoScene: A Dual-space Dataset for Controllable Affective Image Generation InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models

Reference 52

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source=pdf_text observed=2026-08-04T05:37:55.341569Z digest=sha256:a6ea7f422cc2c5a9ca04137c604f9844b50b4fe033cf587764ae8eb01afa8a78

Observation 40df340e-80fa-4876-a82e-267ad62fd199 · outbound

This paper cites an unresolved cited work.

EmoScene: A Dual-space Dataset for Controllable Affective Image Generation Unresolved cited work

Reference 53

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source=pdf_text observed=2026-08-04T05:37:55.345963Z digest=sha256:395b8c1d9cb7e38505426772798db27df29880daba62f057ddc67f0cba017cdd

Observation 99ba1533-4fcc-4eaf-a565-23af7344e23f · outbound

This paper cites Determine whether it appears active or passive, powerful or weak.

EmoScene: A Dual-space Dataset for Controllable Affective Image Generation Determine whether it appears active or passive, powerful or weak

Reference 54

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source=pdf_text observed=2026-08-04T05:37:55.350055Z digest=sha256:14c39bfada6c4f1e28dd5684d79c5ea05bc46b19372e13bbf43296e6f6e47534

Observation 16ecb634-bad2-44d9-962b-ad9eed532033 · outbound

This paper cites an unresolved cited work.

EmoScene: A Dual-space Dataset for Controllable Affective Image Generation Unresolved cited work

Reference 55

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source=pdf_text observed=2026-08-04T05:37:55.353887Z digest=sha256:565e0ea9cacf2cc7ae98f87a7ac77385b597e291acdc7388e93c73ed26bb8ff8

Observation deef32b6-5633-4a50-8e60-35fdff589079 · outbound

This paper cites an unresolved cited work.

EmoScene: A Dual-space Dataset for Controllable Affective Image Generation Unresolved cited work

Reference 56

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source=pdf_text observed=2026-08-04T05:37:55.357467Z digest=sha256:915b85d3f963e87b3f318193adb135f28ace3a41663b0da1b9eb0c8ba5fbb334

Observation 6afa8077-fe16-4904-af1a-40d96be4e812 · outbound

This paper cites an unresolved cited work.

EmoScene: A Dual-space Dataset for Controllable Affective Image Generation Unresolved cited work

Reference 57

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source=pdf_text observed=2026-08-04T05:37:55.360937Z digest=sha256:f913cf14fb62046844e60f5a92a9ac28cc60b64fdc6d5fe3f4eedc8541c9d936

Observation 16069aa6-1973-4ef4-814d-021eacab68d6 · outbound

This paper cites arousal inconsistent with calm scene.

EmoScene: A Dual-space Dataset for Controllable Affective Image Generation arousal inconsistent with calm scene

Reference 58

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source=pdf_text observed=2026-08-04T05:37:55.364397Z digest=sha256:9e5635656e51853d45abeefe3cd92f148f00bd7ee0ff38d97e45dca2799b5c2e

Pith citing papers

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