Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-04T05:37:55.364397Z
Paper Citation Record · LEDGER
As of 6 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.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-04T05:37:55.364397Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
57 of 57 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 2fbb5bee-a97f-45c9-96af-e494be89b809 · outbound
EmoScene: A Dual-space Dataset for Controllable Affective Image Generation Univ of California Press, 1954
Reference 1
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d9525246-8836-450a-a602-7297622cb35a · outbound
EmoScene: A Dual-space Dataset for Controllable Affective Image Generation Univ of California Press, 2023
Reference 2
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Unavailable: canonical work link unavailable.
Observation 4c104321-6d75-45f1-bcb9-5ef1b56c2175 · outbound
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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Unavailable: canonical work link unavailable.
Observation c3994842-42a8-4ef5-bf55-c4226fc3bd20 · outbound
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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Unavailable: canonical work link unavailable.
Observation b4659e9d-f65d-4ad4-93be-e148d86361e7 · outbound
EmoScene: A Dual-space Dataset for Controllable Affective Image Generation Emotions in the Loop: A Survey of Affective Computing for Emotional Support
Reference 5
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e5f8ac06-2b2e-4002-a7b4-9169c49abfd3 · outbound
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
EmoScene: A Dual-space Dataset for Controllable Affective Image Generation Gpt-4v with emotion: A zero-shot benchmark for generalized emotion recognition
Reference 7
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4957a626-d972-40db-b872-38209d83fa64 · outbound
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
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 63f9bc40-804d-440f-b078-c284791897e8 · outbound
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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Unavailable: canonical work link unavailable.
Observation 751e90ec-ab22-40ce-b5c9-55e34e19ec30 · outbound
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
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
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
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
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
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
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
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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Unavailable: canonical work link unavailable.
Observation b3be88ba-0935-429b-95f3-d4df22081421 · outbound
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
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
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
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
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
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
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
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
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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Unavailable: canonical work link unavailable.
Observation 2082a629-227b-42cf-918d-ac416f68e1ea · outbound
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
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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Unavailable: canonical work link unavailable.
Observation 44119a72-5292-4c0f-8e31-afa27a218507 · outbound
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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Unavailable: canonical work link unavailable.
Observation ea102458-cf2c-43ac-b5f5-62293c36b6f1 · outbound
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
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
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
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
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
EmoScene: A Dual-space Dataset for Controllable Affective Image Generation Emoe: Modality- specific enhanced dynamic emotion experts
Reference 36
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Observation be8fcf10-c044-4b25-b896-df8f880e1738 · outbound
EmoScene: A Dual-space Dataset for Controllable Affective Image Generation Knowledge-based emotion recognition using large language models
Reference 37
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Observation dea58148-e7ac-415a-9855-35c13186739d · outbound
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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Observation 75e01256-4a17-48d5-ad45-2c443dd7bc01 · outbound
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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Observation 2e16f097-783c-45ef-9939-98116c56c3f3 · outbound
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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Observation 8fea2923-49b1-491c-add2-97e66e396370 · outbound
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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Observation 2e97bbe5-b5a9-4840-900f-c1db05914873 · outbound
EmoScene: A Dual-space Dataset for Controllable Affective Image Generation Schuller, and Kurt Keutzer
Reference 42
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Observation c44bf0bb-ef83-49a6-9454-c58bfec254f7 · outbound
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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Observation 0846376b-0e76-4716-9066-daabe10fd405 · outbound
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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Observation 143d550b-393e-43d6-b62d-6dbff7061b17 · outbound
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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Observation 7a1f302e-1374-4f56-9ee0-07e0e1b37805 · outbound
EmoScene: A Dual-space Dataset for Controllable Affective Image Generation Emoedit: Evoking emotions through image manipulation
Reference 46
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Observation 36eb95a8-a867-4381-991e-753a738d6713 · outbound
EmoScene: A Dual-space Dataset for Controllable Affective Image Generation EmoCtrl: Controllable Emotional Image Content Generation
Reference 47
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Observation 6f0f3833-d77f-43cf-9750-45efe3924d7b · outbound
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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Observation 7051a159-d4c9-4214-b71c-5d50f10e72a8 · outbound
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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Observation b952dcf5-bcc0-49be-955b-49c53697d45e · outbound
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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Observation 91d9a75c-7c0c-4306-8b8d-e6b040412637 · outbound
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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Observation 2f1867df-cc10-4d13-9f1f-ce22c30cadb2 · outbound
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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Observation 40df340e-80fa-4876-a82e-267ad62fd199 · outbound
EmoScene: A Dual-space Dataset for Controllable Affective Image Generation Unresolved cited work
Reference 53
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Observation 99ba1533-4fcc-4eaf-a565-23af7344e23f · outbound
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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Observation 16ecb634-bad2-44d9-962b-ad9eed532033 · outbound
EmoScene: A Dual-space Dataset for Controllable Affective Image Generation Unresolved cited work
Reference 55
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Observation deef32b6-5633-4a50-8e60-35fdff589079 · outbound
EmoScene: A Dual-space Dataset for Controllable Affective Image Generation Unresolved cited work
Reference 56
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Observation 6afa8077-fe16-4904-af1a-40d96be4e812 · outbound
EmoScene: A Dual-space Dataset for Controllable Affective Image Generation Unresolved cited work
Reference 57
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Observation 16069aa6-1973-4ef4-814d-021eacab68d6 · outbound
EmoScene: A Dual-space Dataset for Controllable Affective Image Generation arousal inconsistent with calm scene
Reference 58
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No inbound Pith citation observations are available.