Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-11T12:18:19.151491Z
Paper Citation Record · LEDGER
As of 14 August 2026, this Paper Citation Record lists 49 of 49 outbound references and 0 inbound Pith citation observations for arXiv:2412.14432.
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 2026-08-11T12:18:19.151491Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+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
49 of 49 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 2d769659-d9a4-4419-8c31-f7be2fc22a1e · outbound
IntroStyle: Training-Free Introspective Style Attribution using Diffusion Features Improving image generation with better captions
Reference 1
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Observation 2ea462f3-f4bf-4a5c-b349-c6b0de0c6ee9 · outbound
IntroStyle: Training-Free Introspective Style Attribution using Diffusion Features Extracting training data from diffu- sion models
Reference 2
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Observation bdcfec45-02cf-42b8-af0f-5d01b5b58526 · outbound
IntroStyle: Training-Free Introspective Style Attribution using Diffusion Features Emerg- ing properties in self-supervised vision transformers
Reference 3
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Observation e66a7ed4-399b-413b-a2d3-f0aee965c7d8 · outbound
IntroStyle: Training-Free Introspective Style Attribution using Diffusion Features Image style classification based on learnt deep correlation features
Reference 4
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Observation 33c25364-0582-4f0c-a8e6-c2802fa1a0f4 · outbound
IntroStyle: Training-Free Introspective Style Attribution using Diffusion Features Style injec- tion in diffusion: A training-free approach for adapting large- scale diffusion models for style transfer
Reference 5
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Observation 809561e3-711e-4ad3-bf38-561635e135da · outbound
IntroStyle: Training-Free Introspective Style Attribution using Diffusion Features AI art and the problem of consent
Reference 6
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Observation 7e7f0c96-3bc5-4ea1-807b-c67b186787a7 · outbound
IntroStyle: Training-Free Introspective Style Attribution using Diffusion Features An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion
Reference 7
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Observation 3f63bc4f-2a0f-422e-9760-0893368515a0 · outbound
IntroStyle: Training-Free Introspective Style Attribution using Diffusion Features Im- age style transfer using convolutional neural networks
Reference 8
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Observation 970ffd5e-02d3-4367-b36c-59b235a89538 · outbound
IntroStyle: Training-Free Introspective Style Attribution using Diffusion Features Midjourney founder admits to using a ’hun- dred million’ images without consent
Reference 9
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Observation ea806d07-5d70-4edb-8b55-88bdbb99fb9e · outbound
IntroStyle: Training-Free Introspective Style Attribution using Diffusion Features Momentum Contrast for Unsupervised Visual Representation Learning
Reference 10
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Observation 4db55033-046c-43c6-8d21-6414f1f70414 · outbound
IntroStyle: Training-Free Introspective Style Attribution using Diffusion Features What does the rise of AI mean for the future of art? The Sydney Morning Herald , 2022
Reference 11
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Observation 94840988-1595-4001-84ff-788206aa3b44 · outbound
IntroStyle: Training-Free Introspective Style Attribution using Diffusion Features Arbitrary style transfer in real-time with adaptive instance normalization
Reference 12
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Observation da2481a7-e610-436b-8e18-9f75ef134d5d · outbound
IntroStyle: Training-Free Introspective Style Attribution using Diffusion Features A style-based generator architecture for generative adversarial networks
Reference 13
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Observation 8000b6f2-d92a-4833-b954-8b59ec7cbfb3 · outbound
IntroStyle: Training-Free Introspective Style Attribution using Diffusion Features Multi-concept customization of text-to-image diffusion
Reference 14
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Observation d80a6b46-69c9-46b6-9fec-9d14d7b245dc · outbound
IntroStyle: Training-Free Introspective Style Attribution using Diffusion Features Greg rutkowski was removed from stable diffusion, but ai artists brought him back
Reference 15
Source-reported events for the cited work
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Observation 988b7c74-54bd-4a6c-878c-cc0f939c543d · outbound
IntroStyle: Training-Free Introspective Style Attribution using Diffusion Features Cosmo: Content-style modulation for image retrieval with text feed- back
Reference 16
Source-reported events for the cited work
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Observation c02b2436-4819-4424-b3b6-cf66aa2f8b6d · outbound
IntroStyle: Training-Free Introspective Style Attribution using Diffusion Features Parrot captions teach clip to spot text
Reference 17
Source-reported events for the cited work
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Observation 2434087e-2929-4013-98cd-d47316ea2fb2 · outbound
IntroStyle: Training-Free Introspective Style Attribution using Diffusion Features Stgan: A unified selec- tive transfer network for arbitrary image attribute editing
Reference 18
Source-reported events for the cited work
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Observation f52f2016-a7d2-4ca9-a8e4-6d37060e61a4 · outbound
IntroStyle: Training-Free Introspective Style Attribution using Diffusion Features Deep photo style transfer
Reference 19
Source-reported events for the cited work
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Observation 1a96e18f-08f0-4557-aba5-2d01165f816c · outbound
IntroStyle: Training-Free Introspective Style Attribution using Diffusion Features Null-text inversion for editing real im- ages using guided diffusion models
Reference 20
Source-reported events for the cited work
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Observation 0485f4b0-3a23-48d0-b788-4b6aad96c34a · outbound
IntroStyle: Training-Free Introspective Style Attribution using Diffusion Features Diffusion Models Beat GANs on Image Classification
Reference 21
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Observation d9d5a91e-7610-4810-a8c3-bb8d762219d1 · outbound
IntroStyle: Training-Free Introspective Style Attribution using Diffusion Features Do text-free diffusion models learn discriminative visual representations? In European Conference on Com- puter Vision, pages 253–272
Reference 22
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Observation 75390e3e-9bcf-4bce-bed7-f9e8c07fce68 · outbound
IntroStyle: Training-Free Introspective Style Attribution using Diffusion Features Chatgpt, 2024
Reference 23
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Observation f4445130-3a01-4842-a772-a1d38397b574 · outbound
IntroStyle: Training-Free Introspective Style Attribution using Diffusion Features Moment matching for multi-source domain adaptation
Reference 24
Source-reported events for the cited work
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Observation 6d8a70cd-eb92-425a-816d-6ed6d52df03b · outbound
IntroStyle: Training-Free Introspective Style Attribution using Diffusion Features Concept arithmetics for circumventing concept inhibition in diffusion models
Reference 25
Source-reported events for the cited work
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Observation 1139f215-ee2c-4a6a-97da-e7134658e1e0 · outbound
IntroStyle: Training-Free Introspective Style Attribution using Diffusion Features A self-supervised descriptor for image copy detection
Reference 26
Source-reported events for the cited work
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Observation f2a3f041-7e74-4e8d-b44c-05475161d28d · outbound
IntroStyle: Training-Free Introspective Style Attribution using Diffusion Features Learning transferable visual models from natural language supervi- 9 sion
Reference 27
Source-reported events for the cited work
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Observation 09a29250-1e37-46a1-8ab3-6ba5535a6fe1 · outbound
IntroStyle: Training-Free Introspective Style Attribution using Diffusion Features Hierarchical Text-Conditional Image Generation with CLIP Latents
Reference 28
Source-reported events for the cited work
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Observation 7b62e0f5-6bc2-4d8d-9577-c6589ad9ff2d · outbound
IntroStyle: Training-Free Introspective Style Attribution using Diffusion Features Generative ad- versarial text to image synthesis
Reference 29
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Observation 2197eec3-43cf-4dc5-bd29-9c363f358a3a · outbound
IntroStyle: Training-Free Introspective Style Attribution using Diffusion Features Ai-created images lose US copyrights in test of new technology
Reference 30
Source-reported events for the cited work
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Observation b3f42454-47b3-4b64-9402-bee1f19813db · outbound
IntroStyle: Training-Free Introspective Style Attribution using Diffusion Features High-resolution image synthesis with latent diffusion models
Reference 31
Source-reported events for the cited work
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Observation 6e2cec2a-73e6-4788-a81d-50670ae758de · outbound
IntroStyle: Training-Free Introspective Style Attribution using Diffusion Features Aladin: All layer adaptive instance normalization for fine- grained style similarity
Reference 32
Source-reported events for the cited work
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Observation fb185bd2-084d-4f4d-a2ed-56bd25b251a2 · outbound
IntroStyle: Training-Free Introspective Style Attribution using Diffusion Features Photorealistic text-to-image diffusion models with deep language understanding
Reference 33
Source-reported events for the cited work
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Observation 2e7904b7-5268-4527-820e-3d4111b0df14 · outbound
IntroStyle: Training-Free Introspective Style Attribution using Diffusion Features Large-scale Classification of Fine-Art Paintings: Learning The Right Metric on The Right Feature
Reference 34
Source-reported events for the cited work
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Observation ad6bf6ba-a700-4fc7-9872-892abbf3d4c7 · outbound
IntroStyle: Training-Free Introspective Style Attribution using Diffusion Features Laion-5b: An open large-scale dataset for training next generation image-text models
Reference 35
Source-reported events for the cited work
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Observation d6cb8bf8-7820-4fa4-8f32-12914aaaefe4 · outbound
IntroStyle: Training-Free Introspective Style Attribution using Diffusion Features Glaze: Protecting artists from style mimicry by {Text-to-Image} models
Reference 36
Source-reported events for the cited work
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Observation 4a8cec15-d57f-4f82-b242-6a660c0e7659 · outbound
IntroStyle: Training-Free Introspective Style Attribution using Diffusion Features Alchemist: Parametric control of material proper- ties with diffusion models
Reference 37
Source-reported events for the cited work
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Observation 5b3bdce5-169a-4460-a797-44bbc2f6dc16 · outbound
IntroStyle: Training-Free Introspective Style Attribution using Diffusion Features Investigating style similarity in diffusion models
Reference 38
Source-reported events for the cited work
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Observation 8cbff3d2-c808-46b3-8f73-f3d6c9e23f14 · outbound
IntroStyle: Training-Free Introspective Style Attribution using Diffusion Features Score-Based Generative Modeling through Stochastic Differential Equations
Reference 39
Source-reported events for the cited work
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Observation 91c84d60-d40b-4511-9c7c-fb8e60a56f89 · outbound
IntroStyle: Training-Free Introspective Style Attribution using Diffusion Features Emergent correspondence from image diffusion
Reference 40
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Observation d31741da-e298-452c-8e5c-f9ef855c48da · outbound
IntroStyle: Training-Free Introspective Style Attribution using Diffusion Features Diffuse attend and segment: Un- supervised zero-shot segmentation using stable diffusion
Reference 41
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Observation a65401d3-cb2b-449b-854b-9759649bfc1d · outbound
IntroStyle: Training-Free Introspective Style Attribution using Diffusion Features P+: Extended textual conditioning in text-to- image generation
Reference 42
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Observation 0798c1c8-61ba-4ac0-8d3c-064df91340b8 · outbound
IntroStyle: Training-Free Introspective Style Attribution using Diffusion Features Evaluating data attribution for text-to-image models
Reference 43
Source-reported events for the cited work
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Observation e24f3b83-5d18-48ef-8fdb-3e99d9dcbd77 · outbound
IntroStyle: Training-Free Introspective Style Attribution using Diffusion Features Data Attribution for Text-to-Image Models by Unlearning Synthesized Images
Reference 44
Source-reported events for the cited work
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Observation c777f176-5a97-4494-a268-0521a5024d43 · outbound
IntroStyle: Training-Free Introspective Style Attribution using Diffusion Features Denoising diffusion autoencoders are unified self-supervised learners
Reference 45
Source-reported events for the cited work
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Observation 186476a8-e45f-485b-a63b-01b8878e65b4 · outbound
IntroStyle: Training-Free Introspective Style Attribution using Diffusion Features Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You Think
Reference 46
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9a9e5cae-d558-4d54-8af2-23d931aafa50 · outbound
IntroStyle: Training-Free Introspective Style Attribution using Diffusion Features Stack- gan: Text to photo-realistic image synthesis with stacked generative adversarial networks
Reference 47
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0d4de6f3-d0ed-45f8-a391-abbe3d586516 · outbound
IntroStyle: Training-Free Introspective Style Attribution using Diffusion Features Style transfer via image component analysis
Reference 48
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation fbf27259-770a-4b08-9fb2-c9a7908ee556 · outbound
IntroStyle: Training-Free Introspective Style Attribution using Diffusion Features style” prompt and used 2 of their paintings to generate “semantic
Reference 49
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
No inbound Pith citation observations are available.