Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-25T08:14:28.540629Z
Paper Citation Record · LEDGER
UniEmo: Unifying Emotional Understanding and Generation with Learnable Expert Queries
As of 11 August 2026, this Paper Citation Record lists 82 of 82 outbound references and 9 inbound Pith citation observations for arXiv:2507.23372.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-05T23:05:40.089637Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-07-03T00:07:28.429968Z
Reference resolution
82 of 82 outbound references displayed
- verified exact22
- verified fuzzy60
- unresolved0
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- malformed identifier0
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External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 12a9940a-7bc3-4ab9-a0b5-9e9adb36fef3 · outbound
This paper cites Video ecommerce++: Toward large scale online video advertising.
UniEmo: Unifying Emotional Understanding and Generation with Learnable Expert Queries Video ecommerce++: Toward large scale online video advertising
Reference 1
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 17b3f935-b127-4ea5-9229-87fbdb06cd43 · outbound
This paper cites Video2shop: Exact matching clothes in videos to online shopping images.
UniEmo: Unifying Emotional Understanding and Generation with Learnable Expert Queries Video2shop: Exact matching clothes in videos to online shopping images
Reference 2
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 348a013d-c6b4-45b0-a4f8-89b7b4bfcc58 · outbound
This paper cites Detecting and grounding multi-modal media manipulation and beyond.
UniEmo: Unifying Emotional Understanding and Generation with Learnable Expert Queries Detecting and grounding multi-modal media manipulation and beyond
Reference 3
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 3187bffa-b7f0-4dab-a8cb-602ba2489e0d · outbound
This paper cites Detecting and grounding multi-modal media manipulation.
UniEmo: Unifying Emotional Understanding and Generation with Learnable Expert Queries Detecting and grounding multi-modal media manipulation
Reference 4
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation e4d5a794-02d8-4984-8d43-59a09e6253e2 · outbound
This paper cites Multi-adversarial discriminative deep domain generalization for face presentation attack detection.
UniEmo: Unifying Emotional Understanding and Generation with Learnable Expert Queries Multi-adversarial discriminative deep domain generalization for face presentation attack detection
Reference 5
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 5e68040f-2a1f-4bd4-81fa-d7060b7d643f · outbound
This paper cites Emotion recognition, emotion expres- sion, and cultural display rules: Implications for counseling.
UniEmo: Unifying Emotional Understanding and Generation with Learnable Expert Queries Emotion recognition, emotion expres- sion, and cultural display rules: Implications for counseling
Reference 6
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation dae332ce-0c5c-405c-a519-a0661953488f · outbound
This paper cites Stimuli-aware visual emotion analysis.
UniEmo: Unifying Emotional Understanding and Generation with Learnable Expert Queries Stimuli-aware visual emotion analysis
Reference 7
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation cd85ff1a-d871-4e69-9ed6-a66910c5a1a1 · outbound
This paper cites Puma: Layer-pruned language model for efficient unified multimodal retrieval with modality-adaptive learning.
UniEmo: Unifying Emotional Understanding and Generation with Learnable Expert Queries Puma: Layer-pruned language model for efficient unified multimodal retrieval with modality-adaptive learning
Reference 8
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 1757a2a3-d453-49ca-ad17-56d287944610 · outbound
This paper cites Analyzing emotional semantics of abstract art using low-level image features.
UniEmo: Unifying Emotional Understanding and Generation with Learnable Expert Queries Analyzing emotional semantics of abstract art using low-level image features
Reference 9
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 2049ea16-991d-465e-94d0-89b8c8448878 · outbound
This paper cites Learning deep features for image emotion classification.
UniEmo: Unifying Emotional Understanding and Generation with Learnable Expert Queries Learning deep features for image emotion classification
Reference 10
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 1f513863-471f-471a-b37c-7e93e2237df8 · outbound
This paper cites Dependency exploitation: A unified cnn-rnn approach for visual emotion recognition.
UniEmo: Unifying Emotional Understanding and Generation with Learnable Expert Queries Dependency exploitation: A unified cnn-rnn approach for visual emotion recognition
Reference 11
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 7486d13a-780f-44cb-86ec-ee6174f57905 · outbound
This paper cites Exploring discriminative representations for image emotion recognition with cnns.
UniEmo: Unifying Emotional Understanding and Generation with Learnable Expert Queries Exploring discriminative representations for image emotion recognition with cnns
Reference 12
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 38415777-558e-4fac-8e93-be330cdf5e5c · outbound
This paper cites Emotion recognition based on con- volutional neural network (cnn).
UniEmo: Unifying Emotional Understanding and Generation with Learnable Expert Queries Emotion recognition based on con- volutional neural network (cnn)
Reference 13
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 7e4e5621-13f4-4741-8758-dbdbf817130c · outbound
This paper cites Solver: Scene-object interrelated visual emotion reasoning network.
UniEmo: Unifying Emotional Understanding and Generation with Learnable Expert Queries Solver: Scene-object interrelated visual emotion reasoning network
Reference 14
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 6cf53597-60b2-4fcc-9220-84b9074dd751 · outbound
This paper cites FEALLM: Advancing Facial Emotion Analysis in Multimodal Large Language Models with Emotional Synergy and Reasoning.
UniEmo: Unifying Emotional Understanding and Generation with Learnable Expert Queries FEALLM: Advancing Facial Emotion Analysis in Multimodal Large Language Models with Emotional Synergy and Reasoning
Reference 15
- Resolution
- verified exact
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation fba297d8-0284-4eb3-b08e-0420b3fcaf41 · outbound
This paper cites Emogen: Emotional image content generation with text-to-image diffusion models.
UniEmo: Unifying Emotional Understanding and Generation with Learnable Expert Queries Emogen: Emotional image content generation with text-to-image diffusion models
Reference 16
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation aaf95344-e06f-4925-827d-d7631e85184e · outbound
This paper cites Current state of text sentiment analysis from opinion to emotion mining.
UniEmo: Unifying Emotional Understanding and Generation with Learnable Expert Queries Current state of text sentiment analysis from opinion to emotion mining
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T08:15:34.611753Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation d7b15c0d-632f-4829-9caa-0c68f7ceb246 · outbound
This paper cites Conceptualizing emotion in healthcare interpreting: A normative approach to interpreters’ emotion work.
UniEmo: Unifying Emotional Understanding and Generation with Learnable Expert Queries Conceptualizing emotion in healthcare interpreting: A normative approach to interpreters’ emotion work
Reference 18
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 6825fcb2-3dba-4a2b-960c-ad28b048feb1 · outbound
This paper cites Learning to prompt for vision-language emotion recognition.
UniEmo: Unifying Emotional Understanding and Generation with Learnable Expert Queries Learning to prompt for vision-language emotion recognition
Reference 19
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 864340f7-19e7-4eeb-87f1-83ea13d07725 · outbound
This paper cites Denoising diffusion probabilistic models.
UniEmo: Unifying Emotional Understanding and Generation with Learnable Expert Queries Denoising diffusion probabilistic models
Reference 20
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation c4c1b2d0-569b-4e98-a706-380101b7a904 · outbound
This paper cites High- resolution image synthesis with latent diffusion models.
UniEmo: Unifying Emotional Understanding and Generation with Learnable Expert Queries High- resolution image synthesis with latent diffusion models
Reference 21
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 8caeec0c-9dd9-4d75-b1d3-11b3937ff35d · outbound
This paper cites Diffusion models beat gans on image synthesis.
UniEmo: Unifying Emotional Understanding and Generation with Learnable Expert Queries Diffusion models beat gans on image synthesis
Reference 22
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 8904197c-d75a-4c4d-9809-30bd9b7f07d6 · outbound
This paper cites Adding conditional control to text-to-image diffusion models.
UniEmo: Unifying Emotional Understanding and Generation with Learnable Expert Queries Adding conditional control to text-to-image diffusion models
Reference 23
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation a95d3a25-a5d3-4d83-86b9-d330ca4c59e8 · outbound
This paper cites Dreambooth: Fine tuning text-to-image diffusion models for subject- driven generation.
UniEmo: Unifying Emotional Understanding and Generation with Learnable Expert Queries Dreambooth: Fine tuning text-to-image diffusion models for subject- driven generation
Reference 24
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 2e157aee-46b1-43c9-9921-3b2691182f03 · outbound
This paper cites Show-o: One Single Transformer to Unify Multimodal Understanding and Generation.
UniEmo: Unifying Emotional Understanding and Generation with Learnable Expert Queries Show-o: One Single Transformer to Unify Multimodal Understanding and Generation
Reference 25
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation d63cd886-ceeb-4a76-a5c6-06a928e9f5dc · outbound
This paper cites Transfusion: Predict the Next Token and Diffuse Images with One Multi-Modal Model.
UniEmo: Unifying Emotional Understanding and Generation with Learnable Expert Queries Transfusion: Predict the Next Token and Diffuse Images with One Multi-Modal Model
Reference 26
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 39f5d095-9ecc-4143-a787-63ec09fbc0fb · outbound
This paper cites VILA-U: a Unified Foundation Model Integrating Visual Understanding and Generation.
UniEmo: Unifying Emotional Understanding and Generation with Learnable Expert Queries VILA-U: a Unified Foundation Model Integrating Visual Understanding and Generation
Reference 27
- Resolution
- verified exact
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 73501d3b-35e9-4268-a1ef-19ed8faefc6b · outbound
This paper cites Emu3: Next-Token Prediction is All You Need.
UniEmo: Unifying Emotional Understanding and Generation with Learnable Expert Queries Emu3: Next-Token Prediction is All You Need
Reference 28
- Resolution
- verified exact
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 0182876c-4d3a-421f-8f4f-ab1cac12fcc7 · outbound
This paper cites ID$^3$: Identity-Preserving-yet-Diversified Diffusion Models for Synthetic Face Recognition.
UniEmo: Unifying Emotional Understanding and Generation with Learnable Expert Queries ID$^3$: Identity-Preserving-yet-Diversified Diffusion Models for Synthetic Face Recognition
Reference 29
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 3e5152e5-be19-46c1-8865-c4cae63d06f4 · outbound
This paper cites Diffusion Feedback Helps CLIP See Better.
UniEmo: Unifying Emotional Understanding and Generation with Learnable Expert Queries Diffusion Feedback Helps CLIP See Better
Reference 30
- Resolution
- verified exact
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 82e5ac2d-e5d6-484d-8714-16ce139fa071 · outbound
This paper cites Visual objects in context.
UniEmo: Unifying Emotional Understanding and Generation with Learnable Expert Queries Visual objects in context
Reference 31
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation a6d39248-f38b-47fe-95fa-92955f203250 · outbound
This paper cites Emotion experience and its varieties.
UniEmo: Unifying Emotional Understanding and Generation with Learnable Expert Queries Emotion experience and its varieties
Reference 32
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 0285bb33-20f4-4190-aaf1-ac5d2f29ab44 · outbound
This paper cites Affective image content analysis: Two decades review and new perspectives.
UniEmo: Unifying Emotional Understanding and Generation with Learnable Expert Queries Affective image content analysis: Two decades review and new perspectives
Reference 33
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 1ca84303-5089-4bf1-b2b7-0161f9026c85 · outbound
This paper cites Fuzzy similarity-based emotional classification of color images.
UniEmo: Unifying Emotional Understanding and Generation with Learnable Expert Queries Fuzzy similarity-based emotional classification of color images
Reference 34
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 4c6e23b8-a323-42ba-a319-17e6c6c8a44f · outbound
This paper cites Large-scale visual sentiment ontology and detectors using adjective noun pairs.
UniEmo: Unifying Emotional Understanding and Generation with Learnable Expert Queries Large-scale visual sentiment ontology and detectors using adjective noun pairs
Reference 35
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 4ebe6cd8-029c-4024-8fcd-44411f273b34 · outbound
This paper cites Affective image classification using features inspired by psychology and art theory.
UniEmo: Unifying Emotional Understanding and Generation with Learnable Expert Queries Affective image classification using features inspired by psychology and art theory
Reference 36
- Resolution
- verified exact
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 47d24f12-4fb5-4c6f-b342-01ae1991b38b · outbound
This paper cites Mdan: Multi-level dependent attention network for visual emotion analysis.
UniEmo: Unifying Emotional Understanding and Generation with Learnable Expert Queries Mdan: Multi-level dependent attention network for visual emotion analysis
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T08:15:34.691886Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation cee8f6e3-e1ee-437f-8032-fcded0469aec · outbound
This paper cites Learning multi-level deep representations for image emotion classification.
UniEmo: Unifying Emotional Understanding and Generation with Learnable Expert Queries Learning multi-level deep representations for image emotion classification
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T08:15:34.707303Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 95763c53-fdd0-414f-b336-013701bd7931 · outbound
This paper cites Object semantics sentiment correlation analysis enhanced image sentiment classification.
UniEmo: Unifying Emotional Understanding and Generation with Learnable Expert Queries Object semantics sentiment correlation analysis enhanced image sentiment classification
Reference 39
- Resolution
- verified exact
- arxiv_id, observed 2026-05-25T08:15:33.195751Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 1787336f-b303-4d65-a09c-c4273d744934 · outbound
This paper cites Sentibank: large-scale ontology and classifiers for detecting sentiment and emotions in visual content.
UniEmo: Unifying Emotional Understanding and Generation with Learnable Expert Queries Sentibank: large-scale ontology and classifiers for detecting sentiment and emotions in visual content
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T08:15:34.688618Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 875800a4-59fb-4abd-b6c6-79697728b068 · outbound
This paper cites Progressive visual content understanding network for image emotion classification.
UniEmo: Unifying Emotional Understanding and Generation with Learnable Expert Queries Progressive visual content understanding network for image emotion classification
Reference 41
- Resolution
- verified exact
- arxiv_id, observed 2026-05-25T08:15:33.221581Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation b9c86b73-0fa9-46f3-a39c-8159a4e8c789 · outbound
This paper cites GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models.
UniEmo: Unifying Emotional Understanding and Generation with Learnable Expert Queries GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models
Reference 42
- Resolution
- verified exact
- local_arxiv, observed 2026-05-25T08:15:33.810760Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 1c73d9bd-d5d4-4506-a771-281d1f9a8406 · outbound
This paper cites Hierarchical Text-Conditional Image Generation with CLIP Latents.
UniEmo: Unifying Emotional Understanding and Generation with Learnable Expert Queries Hierarchical Text-Conditional Image Generation with CLIP Latents
Reference 43
- Resolution
- verified exact
- local_arxiv, observed 2026-05-25T08:15:33.805270Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation b494398e-e282-4e35-87d9-2f46d17112af · outbound
This paper cites eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers.
UniEmo: Unifying Emotional Understanding and Generation with Learnable Expert Queries eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers
Reference 44
- Resolution
- verified exact
- local_arxiv, observed 2026-05-25T08:15:33.760443Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation d207cf68-cab3-4343-9598-d1d997e41862 · outbound
This paper cites Photorealistic text-to-image diffusion models with deep language understanding.
UniEmo: Unifying Emotional Understanding and Generation with Learnable Expert Queries Photorealistic text-to-image diffusion models with deep language understanding
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T08:15:34.657832Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 284b6e6b-8113-4d34-8a83-36f7e2b1bbf3 · outbound
This paper cites Text to image generation with semantic-spatial aware gan.
UniEmo: Unifying Emotional Understanding and Generation with Learnable Expert Queries Text to image generation with semantic-spatial aware gan
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T08:15:34.633244Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 6f2be06e-99a8-4d63-b675-9b0dca0dbd9b · outbound
This paper cites An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion.
UniEmo: Unifying Emotional Understanding and Generation with Learnable Expert Queries An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion
Reference 47
- Resolution
- verified exact
- local_arxiv, observed 2026-05-25T08:15:33.800377Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation c5a39c19-d956-4e01-b84b-d7ad537db79d · outbound
This paper cites Multi- concept customization of text-to-image diffusion.
UniEmo: Unifying Emotional Understanding and Generation with Learnable Expert Queries Multi- concept customization of text-to-image diffusion
Reference 48
- Resolution
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- raw_fallback, observed 2026-05-25T08:15:34.602088Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 1b8396b8-a648-4c16-a223-022d432ee2e8 · outbound
This paper cites Learning transferable visual models from natural language supervision.
UniEmo: Unifying Emotional Understanding and Generation with Learnable Expert Queries Learning transferable visual models from natural language supervision
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T08:15:34.586674Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation b423358a-2ed6-4ab7-b5d2-9d8f889729f1 · outbound
This paper cites ELITE: Encoding Visual Concepts into Textual Embeddings for Customized Text-to-Image Generation.
UniEmo: Unifying Emotional Understanding and Generation with Learnable Expert Queries ELITE: Encoding Visual Concepts into Textual Embeddings for Customized Text-to-Image Generation
Reference 50
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation c24d1ae9-840d-4823-b163-60222d1f2117 · outbound
This paper cites EmoEdit: Evoking Emotions through Image Manipulation.
UniEmo: Unifying Emotional Understanding and Generation with Learnable Expert Queries EmoEdit: Evoking Emotions through Image Manipulation
Reference 51
- Resolution
- verified exact
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 84ff5ca4-5dfb-4308-87ee-5b935f295505 · outbound
This paper cites Emotionprompt: Leveraging psychology for large language models enhancement via emotional stimulus (nd). retrieved 1 august 2023.
UniEmo: Unifying Emotional Understanding and Generation with Learnable Expert Queries Emotionprompt: Leveraging psychology for large language models enhancement via emotional stimulus (nd). retrieved 1 august 2023
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T08:15:34.575591Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 50666677-6d49-495f-90aa-7088ddf6a6eb · outbound
This paper cites Emoticrafter: Text-to-emotional-image generation based on valence-arousal model.
UniEmo: Unifying Emotional Understanding and Generation with Learnable Expert Queries Emoticrafter: Text-to-emotional-image generation based on valence-arousal model
Reference 53
- Resolution
- verified exact
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 1e720cc7-46b5-45e6-8500-60bd9775742e · outbound
This paper cites FALCON: Resolving Visual Redundancy and Fragmentation in High-resolution Multimodal Large Language Models via Visual Registers.
UniEmo: Unifying Emotional Understanding and Generation with Learnable Expert Queries FALCON: Resolving Visual Redundancy and Fragmentation in High-resolution Multimodal Large Language Models via Visual Registers
Reference 54
- Resolution
- verified exact
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation c2011c6f-ae48-4a11-88f0-22e0dd338e45 · outbound
This paper cites mplug-owl2: Revolutionizing multi-modal large language model with modality collaboration.
UniEmo: Unifying Emotional Understanding and Generation with Learnable Expert Queries mplug-owl2: Revolutionizing multi-modal large language model with modality collaboration
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T08:15:34.579223Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 1887d7fa-7ad9-4caf-ae3d-d0691fd863b7 · outbound
This paper cites Qwen Technical Report.
UniEmo: Unifying Emotional Understanding and Generation with Learnable Expert Queries Qwen Technical Report
Reference 56
- Resolution
- verified exact
- local_arxiv, observed 2026-05-25T08:15:33.717337Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation be82cdf8-bfb0-4155-a5d7-8f86f0856ca0 · outbound
This paper cites Lion-fs: Fast & slow video-language thinker as online video assistant.
UniEmo: Unifying Emotional Understanding and Generation with Learnable Expert Queries Lion-fs: Fast & slow video-language thinker as online video assistant
Reference 57
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T08:15:34.594358Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 599a39fa-df38-4820-be7a-cabc9994cef7 · outbound
This paper cites Lion: Empowering multimodal large language model with dual-level visual knowledge.
UniEmo: Unifying Emotional Understanding and Generation with Learnable Expert Queries Lion: Empowering multimodal large language model with dual-level visual knowledge
Reference 58
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T08:15:34.639903Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 7d80368c-f643-4514-acc5-0a6dc3c1a7da · outbound
This paper cites End-to-end object detection with transformers.
UniEmo: Unifying Emotional Understanding and Generation with Learnable Expert Queries End-to-end object detection with transformers
Reference 59
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T08:15:34.563700Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation d820df18-f0b9-4731-8065-833e5098f307 · outbound
This paper cites Object-centric learning with slot attention, 2020.
UniEmo: Unifying Emotional Understanding and Generation with Learnable Expert Queries Object-centric learning with slot attention, 2020
Reference 60
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T08:15:34.556205Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation b33b65c7-47a7-45b6-9db0-805b72bbba0f · outbound
This paper cites Exploring plain vision transformer backbones for object detection.
UniEmo: Unifying Emotional Understanding and Generation with Learnable Expert Queries Exploring plain vision transformer backbones for object detection
Reference 61
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T08:15:34.608808Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 80572bd9-9e63-4d08-96c0-ba6a4f96fac1 · outbound
This paper cites Dino: Detr with improved denoising anchor boxes for end-to-end object detection.
UniEmo: Unifying Emotional Understanding and Generation with Learnable Expert Queries Dino: Detr with improved denoising anchor boxes for end-to-end object detection
Reference 62
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T08:15:34.552377Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation e80ea814-3077-4995-8ab0-a1bd2c53ca74 · outbound
This paper cites Extract free dense labels from clip.
UniEmo: Unifying Emotional Understanding and Generation with Learnable Expert Queries Extract free dense labels from clip
Reference 63
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T08:15:34.559863Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation bdad9e8c-afcd-4488-8d70-b6b2734763e6 · outbound
This paper cites Denseclip: Language-guided dense prediction with context-aware prompting.
UniEmo: Unifying Emotional Understanding and Generation with Learnable Expert Queries Denseclip: Language-guided dense prediction with context-aware prompting
Reference 64
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T08:15:34.568603Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 40482a87-6ec6-4525-a7e5-b953df100b20 · outbound
This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.
UniEmo: Unifying Emotional Understanding and Generation with Learnable Expert Queries An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Reference 65
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 090e7454-c6c1-4b06-b138-427d7a20fc42 · outbound
This paper cites Emoset: A large-scale visual emotion dataset with rich attributes.
UniEmo: Unifying Emotional Understanding and Generation with Learnable Expert Queries Emoset: A large-scale visual emotion dataset with rich attributes
Reference 66
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T08:15:34.548908Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation f4a0ef5c-fff3-4f37-9dc8-ff4c6ec64424 · outbound
This paper cites Building a large scale dataset for image emotion recognition: The fine print and the benchmark.
UniEmo: Unifying Emotional Understanding and Generation with Learnable Expert Queries Building a large scale dataset for image emotion recognition: The fine print and the benchmark
Reference 67
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T08:15:34.572189Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation e845810f-5cfb-4ab6-b882-b42d5241e624 · outbound
This paper cites Where do emotions come from? predicting the emotion stimuli map.
UniEmo: Unifying Emotional Understanding and Generation with Learnable Expert Queries Where do emotions come from? predicting the emotion stimuli map
Reference 68
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T08:15:34.531748Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation aa133e9e-a10b-448b-baf1-df3a67a71298 · outbound
This paper cites Robust image sentiment analysis using progressively trained and domain transferred deep networks.
UniEmo: Unifying Emotional Understanding and Generation with Learnable Expert Queries Robust image sentiment analysis using progressively trained and domain transferred deep networks
Reference 69
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T08:15:34.535033Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 2a31fbbc-d027-4cf3-8609-b07448b1888b · outbound
This paper cites Emovit: Revolutionizing emotion insights with visual instruction tuning.
UniEmo: Unifying Emotional Understanding and Generation with Learnable Expert Queries Emovit: Revolutionizing emotion insights with visual instruction tuning
Reference 70
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T08:15:34.538543Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 77c4b1d9-feb6-40f7-9bc3-25a8e1b78261 · outbound
This paper cites Gans trained by a two time-scale update rule converge to a local nash equilibrium.
UniEmo: Unifying Emotional Understanding and Generation with Learnable Expert Queries Gans trained by a two time-scale update rule converge to a local nash equilibrium
Reference 71
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T08:15:34.668458Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 9102f48a-18a8-4a98-bd76-f31969297e4e · outbound
This paper cites Learning emotional prompt features with multiple views for visual emotion analysis.
UniEmo: Unifying Emotional Understanding and Generation with Learnable Expert Queries Learning emotional prompt features with multiple views for visual emotion analysis
Reference 72
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T08:15:34.521545Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 7159aac0-3be1-4a05-b47c-a518a67a9ad7 · outbound
This paper cites Blip-2: Bootstrapping language- image pre-training with frozen image encoders and large language models.
UniEmo: Unifying Emotional Understanding and Generation with Learnable Expert Queries Blip-2: Bootstrapping language- image pre-training with frozen image encoders and large language models
Reference 73
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T08:15:34.517674Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation dff7476c-0230-497f-bf87-751aded1e5ca · outbound
This paper cites Instructblip: towards general-purpose vision-language models with instruction tuning. arxiv.
UniEmo: Unifying Emotional Understanding and Generation with Learnable Expert Queries Instructblip: towards general-purpose vision-language models with instruction tuning. arxiv
Reference 74
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T08:15:34.525131Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation c98fd2ee-7d89-483b-bca5-c7156dccb290 · outbound
This paper cites Flamingo: a visual language model for few-shot learning.
UniEmo: Unifying Emotional Understanding and Generation with Learnable Expert Queries Flamingo: a visual language model for few-shot learning
Reference 75
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T08:15:34.541932Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 6476a9aa-2e5d-4738-909d-8a870dccc4bc · outbound
This paper cites Visual instruction tuning.
UniEmo: Unifying Emotional Understanding and Generation with Learnable Expert Queries Visual instruction tuning
Reference 76
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T08:15:34.545132Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 1d970713-d98b-4184-b986-5ee380744505 · outbound
This paper cites Learning to prompt for vision- language models.
UniEmo: Unifying Emotional Understanding and Generation with Learnable Expert Queries Learning to prompt for vision- language models
Reference 77
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T08:15:34.528486Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 39ba42b2-9a09-4888-9fcc-26c60e8fb193 · outbound
This paper cites Conditional prompt learning for vision-language models.
UniEmo: Unifying Emotional Understanding and Generation with Learnable Expert Queries Conditional prompt learning for vision-language models
Reference 78
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T08:15:34.731310Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation e938b402-f3a4-429b-bbb9-57cb81628b55 · outbound
This paper cites Simemotion: A simple knowledgeable prompt tuning method for im- age emotion classification.
UniEmo: Unifying Emotional Understanding and Generation with Learnable Expert Queries Simemotion: A simple knowledgeable prompt tuning method for im- age emotion classification
Reference 79
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T08:15:34.717561Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation daa63054-8b66-4886-82c2-4f43470879f4 · outbound
This paper cites Learning to compose diversified prompts for image emotion classifica- tion.
UniEmo: Unifying Emotional Understanding and Generation with Learnable Expert Queries Learning to compose diversified prompts for image emotion classifica- tion
Reference 80
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T08:15:34.721257Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation d8d589be-c8fd-4f9b-8a55-1161e2d54bbd · outbound
This paper cites Masanet: Multi-aspect semantic auxiliary network for visual sentiment analysis.
UniEmo: Unifying Emotional Understanding and Generation with Learnable Expert Queries Masanet: Multi-aspect semantic auxiliary network for visual sentiment analysis
Reference 81
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T08:15:34.724523Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 9fd326f1-ac44-43cf-9337-65a02067550e · outbound
This paper cites SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis.
UniEmo: Unifying Emotional Understanding and Generation with Learnable Expert Queries SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis
Reference 82
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- verified exact
- local_arxiv, observed 2026-05-25T08:15:33.774271Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Pith citing papers
Observation 46eb64f4-f18f-4a7c-a46f-ed42b9c73369 · inbound
Distribution-Specific Learning for Joint Salient and Camouflaged Object Detection cites this paper.
Distribution-Specific Learning for Joint Salient and Camouflaged Object Detection UniEmo: Unifying Emotional Understanding and Generation with Learnable Expert Queries
Reference 59
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6b4c9a17-4a4e-4222-84c6-41415419ad08 · inbound
AULLM++: Structured-Token-Conditioned Large Language Models for Micro-Expression Action Unit Detection cites this paper.
AULLM++: Structured-Token-Conditioned Large Language Models for Micro-Expression Action Unit Detection UniEmo: Unifying Emotional Understanding and Generation with Learnable Expert Queries
Reference 23
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 82c12f65-ba25-46cc-b36c-e18ed8851e0e · inbound
AffectAgent: Collaborative Multi-Agent Reasoning for Retrieval-Augmented Multimodal Emotion Recognition cites this paper.
AffectAgent: Collaborative Multi-Agent Reasoning for Retrieval-Augmented Multimodal Emotion Recognition UniEmo: Unifying Emotional Understanding and Generation with Learnable Expert Queries
Reference 73
- Resolution
- verified exact
- arxiv_id, observed 2026-05-25T03:01:05.604397Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 938aef85-3764-4a39-a0e5-96f2d9d3e00b · inbound
ConsisVLA-4D: Advancing Spatiotemporal Consistency in Efficient 3D-Perception and 4D-Reasoning for Robotic Manipulation cites this paper.
ConsisVLA-4D: Advancing Spatiotemporal Consistency in Efficient 3D-Perception and 4D-Reasoning for Robotic Manipulation UniEmo: Unifying Emotional Understanding and Generation with Learnable Expert Queries
Reference 96
- Resolution
- verified exact
- arxiv_id, observed 2026-05-25T03:01:05.604397Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 9f3e024b-052e-4b4b-8f2e-4244a81e65ae · inbound
Navigating the Emotion Tree: Hierarchical Hyperbolic RAG for Multimodal Emotion Recognition cites this paper.
Navigating the Emotion Tree: Hierarchical Hyperbolic RAG for Multimodal Emotion Recognition UniEmo: Unifying Emotional Understanding and Generation with Learnable Expert Queries
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- Resolution
- verified exact
- arxiv_id, observed 2026-05-25T03:01:05.604397Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 04bd2cd2-272c-4f72-ab28-a690df6004a6 · inbound
HydraPrompt: An Adaptive and Asymmetric Framework of Vision-Language Models for Synthetic Image Detection cites this paper.
HydraPrompt: An Adaptive and Asymmetric Framework of Vision-Language Models for Synthetic Image Detection UniEmo: Unifying Emotional Understanding and Generation with Learnable Expert Queries
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- Resolution
- verified exact
- local_arxiv, observed 2026-06-29T18:53:51.136964Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation e2b2265e-4c7a-4363-9afc-0c031d03ce62 · inbound
MAVIS: Multi-Agent Video Retrieval via Structured Video Understanding cites this paper.
MAVIS: Multi-Agent Video Retrieval via Structured Video Understanding UniEmo: Unifying Emotional Understanding and Generation with Learnable Expert Queries
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- Resolution
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- local_arxiv, observed 2026-07-03T00:07:28.431227Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 62c64097-752f-491f-9776-6c38c06f7746 · inbound
RSICCLLM: A Multimodal Large Language Model for Remote Sensing Image Change Captioning cites this paper.
RSICCLLM: A Multimodal Large Language Model for Remote Sensing Image Change Captioning UniEmo: Unifying Emotional Understanding and Generation with Learnable Expert Queries
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- Resolution
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- local_arxiv, observed 2026-07-01T17:05:51.415036Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 423c5ced-3169-4a71-8d84-f3d355418a2c · inbound
GMoT: Gated Motion-Aware Tokenization for Fine-Grained Micro-Gesture Video Reasoning with Multimodal LLMs cites this paper.
GMoT: Gated Motion-Aware Tokenization for Fine-Grained Micro-Gesture Video Reasoning with Multimodal LLMs UniEmo: Unifying Emotional Understanding and Generation with Learnable Expert Queries
Reference 64
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.