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Paper Citation Record · LEDGER

IntroStyle: Training-Free Introspective Style Attribution using Diffusion Features

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.

pith.paper-citation-record.v1
2412.14432 v2

Coverage vector

measured 49 of 49 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T12:18:19.151491Z

measured 49 of 49 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

49 of 49 outbound references displayed

  • verified exact1
  • verified fuzzy32
  • unresolved15
  • parse uncertain1
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2d769659-d9a4-4419-8c31-f7be2fc22a1e · outbound

This paper cites Improving image generation with better captions.

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

This paper cites Extracting training data from diffu- sion models.

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

This paper cites Emerg- ing properties in self-supervised vision transformers.

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

This paper cites Image style classification based on learnt deep correlation features.

IntroStyle: Training-Free Introspective Style Attribution using Diffusion Features Image style classification based on learnt deep correlation features

Reference 4

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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.

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Observation 33c25364-0582-4f0c-a8e6-c2802fa1a0f4 · outbound

This paper cites Style injec- tion in diffusion: A training-free approach for adapting large- scale diffusion models for style transfer.

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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Source-reported events for the cited work

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Observation 809561e3-711e-4ad3-bf38-561635e135da · outbound

This paper cites AI art and the problem of consent.

IntroStyle: Training-Free Introspective Style Attribution using Diffusion Features AI art and the problem of consent

Reference 6

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Source-reported events for the cited work

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Observation 7e7f0c96-3bc5-4ea1-807b-c67b186787a7 · outbound

This paper cites An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion.

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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Unavailable: canonical work link unavailable.

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Observation 3f63bc4f-2a0f-422e-9760-0893368515a0 · outbound

This paper cites Im- age style transfer using convolutional neural networks.

IntroStyle: Training-Free Introspective Style Attribution using Diffusion Features Im- age style transfer using convolutional neural networks

Reference 8

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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.

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Observation 970ffd5e-02d3-4367-b36c-59b235a89538 · outbound

This paper cites Midjourney founder admits to using a ’hun- dred million’ images without consent.

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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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.

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Observation ea806d07-5d70-4edb-8b55-88bdbb99fb9e · outbound

This paper cites Momentum Contrast for Unsupervised Visual Representation Learning.

IntroStyle: Training-Free Introspective Style Attribution using Diffusion Features Momentum Contrast for Unsupervised Visual Representation Learning

Reference 10

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Unavailable: canonical work link unavailable.

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Observation 4db55033-046c-43c6-8d21-6414f1f70414 · outbound

This paper cites What does the rise of AI mean for the future of art? The Sydney Morning Herald , 2022.

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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Source-reported events for the cited work

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Observation 94840988-1595-4001-84ff-788206aa3b44 · outbound

This paper cites Arbitrary style transfer in real-time with adaptive instance normalization.

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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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.

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Observation da2481a7-e610-436b-8e18-9f75ef134d5d · outbound

This paper cites A style-based generator architecture for generative adversarial networks.

IntroStyle: Training-Free Introspective Style Attribution using Diffusion Features A style-based generator architecture for generative adversarial networks

Reference 13

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 8000b6f2-d92a-4833-b954-8b59ec7cbfb3 · outbound

This paper cites Multi-concept customization of text-to-image diffusion.

IntroStyle: Training-Free Introspective Style Attribution using Diffusion Features Multi-concept customization of text-to-image diffusion

Reference 14

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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.

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Observation d80a6b46-69c9-46b6-9fec-9d14d7b245dc · outbound

This paper cites Greg rutkowski was removed from stable diffusion, but ai artists brought him back.

IntroStyle: Training-Free Introspective Style Attribution using Diffusion Features Greg rutkowski was removed from stable diffusion, but ai artists brought him back

Reference 15

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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.

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Observation 988b7c74-54bd-4a6c-878c-cc0f939c543d · outbound

This paper cites Cosmo: Content-style modulation for image retrieval with text feed- back.

IntroStyle: Training-Free Introspective Style Attribution using Diffusion Features Cosmo: Content-style modulation for image retrieval with text feed- back

Reference 16

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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.

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Observation c02b2436-4819-4424-b3b6-cf66aa2f8b6d · outbound

This paper cites Parrot captions teach clip to spot text.

IntroStyle: Training-Free Introspective Style Attribution using Diffusion Features Parrot captions teach clip to spot text

Reference 17

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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.

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Observation 2434087e-2929-4013-98cd-d47316ea2fb2 · outbound

This paper cites Stgan: A unified selec- tive transfer network for arbitrary image attribute editing.

IntroStyle: Training-Free Introspective Style Attribution using Diffusion Features Stgan: A unified selec- tive transfer network for arbitrary image attribute editing

Reference 18

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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.

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Observation f52f2016-a7d2-4ca9-a8e4-6d37060e61a4 · outbound

This paper cites Deep photo style transfer.

IntroStyle: Training-Free Introspective Style Attribution using Diffusion Features Deep photo style transfer

Reference 19

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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.

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Observation 1a96e18f-08f0-4557-aba5-2d01165f816c · outbound

This paper cites Null-text inversion for editing real im- ages using guided diffusion models.

IntroStyle: Training-Free Introspective Style Attribution using Diffusion Features Null-text inversion for editing real im- ages using guided diffusion models

Reference 20

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 0485f4b0-3a23-48d0-b788-4b6aad96c34a · outbound

This paper cites Diffusion Models Beat GANs on Image Classification.

IntroStyle: Training-Free Introspective Style Attribution using Diffusion Features Diffusion Models Beat GANs on Image Classification

Reference 21

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation d9d5a91e-7610-4810-a8c3-bb8d762219d1 · outbound

This paper cites Do text-free diffusion models learn discriminative visual representations? In European Conference on Com- puter Vision, pages 253–272.

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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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.

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Observation 75390e3e-9bcf-4bce-bed7-f9e8c07fce68 · outbound

This paper cites Chatgpt, 2024.

IntroStyle: Training-Free Introspective Style Attribution using Diffusion Features Chatgpt, 2024

Reference 23

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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.

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Observation f4445130-3a01-4842-a772-a1d38397b574 · outbound

This paper cites Moment matching for multi-source domain adaptation.

IntroStyle: Training-Free Introspective Style Attribution using Diffusion Features Moment matching for multi-source domain adaptation

Reference 24

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Source-reported events for the cited work

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Observation 6d8a70cd-eb92-425a-816d-6ed6d52df03b · outbound

This paper cites Concept arithmetics for circumventing concept inhibition in diffusion models.

IntroStyle: Training-Free Introspective Style Attribution using Diffusion Features Concept arithmetics for circumventing concept inhibition in diffusion models

Reference 25

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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.

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Observation 1139f215-ee2c-4a6a-97da-e7134658e1e0 · outbound

This paper cites A self-supervised descriptor for image copy detection.

IntroStyle: Training-Free Introspective Style Attribution using Diffusion Features A self-supervised descriptor for image copy detection

Reference 26

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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.

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Observation f2a3f041-7e74-4e8d-b44c-05475161d28d · outbound

This paper cites Learning transferable visual models from natural language supervi- 9 sion.

IntroStyle: Training-Free Introspective Style Attribution using Diffusion Features Learning transferable visual models from natural language supervi- 9 sion

Reference 27

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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.

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Observation 09a29250-1e37-46a1-8ab3-6ba5535a6fe1 · outbound

This paper cites Hierarchical Text-Conditional Image Generation with CLIP Latents.

IntroStyle: Training-Free Introspective Style Attribution using Diffusion Features Hierarchical Text-Conditional Image Generation with CLIP Latents

Reference 28

Resolution
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Source-reported events for the cited work

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Observation 7b62e0f5-6bc2-4d8d-9577-c6589ad9ff2d · outbound

This paper cites Generative ad- versarial text to image synthesis.

IntroStyle: Training-Free Introspective Style Attribution using Diffusion Features Generative ad- versarial text to image synthesis

Reference 29

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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.

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Observation 2197eec3-43cf-4dc5-bd29-9c363f358a3a · outbound

This paper cites Ai-created images lose US copyrights in test of new technology.

IntroStyle: Training-Free Introspective Style Attribution using Diffusion Features Ai-created images lose US copyrights in test of new technology

Reference 30

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation b3f42454-47b3-4b64-9402-bee1f19813db · outbound

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

IntroStyle: Training-Free Introspective Style Attribution using Diffusion Features High-resolution image synthesis with latent diffusion models

Reference 31

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 6e2cec2a-73e6-4788-a81d-50670ae758de · outbound

This paper cites Aladin: All layer adaptive instance normalization for fine- grained style similarity.

IntroStyle: Training-Free Introspective Style Attribution using Diffusion Features Aladin: All layer adaptive instance normalization for fine- grained style similarity

Reference 32

Resolution
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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.

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Observation fb185bd2-084d-4f4d-a2ed-56bd25b251a2 · outbound

This paper cites Photorealistic text-to-image diffusion models with deep language understanding.

IntroStyle: Training-Free Introspective Style Attribution using Diffusion Features Photorealistic text-to-image diffusion models with deep language understanding

Reference 33

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T12:18:19.036305Z digest=sha256:75d363adce85cf58c822f41c72943294af75693ad6f08ee1a7c9d06056ff1ea4

Observation 2e7904b7-5268-4527-820e-3d4111b0df14 · outbound

This paper cites Large-scale Classification of Fine-Art Paintings: Learning The Right Metric on The Right Feature.

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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T12:18:19.042171Z digest=sha256:2eea65b7502911abb48819e14309f44ad75fa9e42a7978be477a04aaafd31664

Observation ad6bf6ba-a700-4fc7-9872-892abbf3d4c7 · outbound

This paper cites Laion-5b: An open large-scale dataset for training next generation image-text models.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:18:19.702181Z

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.

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Observation d6cb8bf8-7820-4fa4-8f32-12914aaaefe4 · outbound

This paper cites Glaze: Protecting artists from style mimicry by {Text-to-Image} models.

IntroStyle: Training-Free Introspective Style Attribution using Diffusion Features Glaze: Protecting artists from style mimicry by {Text-to-Image} models

Reference 36

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T12:18:19.054085Z digest=sha256:7643d95ac76e8071531ca014fe6670821a933d446c635ee80346fd30f457f6f4

Observation 4a8cec15-d57f-4f82-b242-6a660c0e7659 · outbound

This paper cites Alchemist: Parametric control of material proper- ties with diffusion models.

IntroStyle: Training-Free Introspective Style Attribution using Diffusion Features Alchemist: Parametric control of material proper- ties with diffusion models

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:18:19.663151Z

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.

source=pdf_text observed=2026-08-11T12:18:19.067447Z digest=sha256:ef925c8f87b2d1cde026e90350576350dff50882c2297104681eeea8aa0c51bc

Observation 5b3bdce5-169a-4460-a797-44bbc2f6dc16 · outbound

This paper cites Investigating style similarity in diffusion models.

IntroStyle: Training-Free Introspective Style Attribution using Diffusion Features Investigating style similarity in diffusion models

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:18:19.646230Z

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.

source=pdf_text observed=2026-08-11T12:18:19.074323Z digest=sha256:be020927d043de0d02f1c1976bb8483980da9ad17a3f157f356296e2af2215d2

Observation 8cbff3d2-c808-46b3-8f73-f3d6c9e23f14 · outbound

This paper cites Score-Based Generative Modeling through Stochastic Differential Equations.

IntroStyle: Training-Free Introspective Style Attribution using Diffusion Features Score-Based Generative Modeling through Stochastic Differential Equations

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-11T12:18:19.080910Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T12:18:19.080910Z digest=sha256:41058dc0c8f4c68d83d114127e37931f9f0249d55495d7a450108fde57e1bf44

Observation 91c84d60-d40b-4511-9c7c-fb8e60a56f89 · outbound

This paper cites Emergent correspondence from image diffusion.

IntroStyle: Training-Free Introspective Style Attribution using Diffusion Features Emergent correspondence from image diffusion

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:18:19.627443Z

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.

source=pdf_text observed=2026-08-11T12:18:19.094171Z digest=sha256:c7efb891b66174641d15e4be6c0a9d7f60c18b3fade642a215a6952718488b7a

Observation d31741da-e298-452c-8e5c-f9ef855c48da · outbound

This paper cites Diffuse attend and segment: Un- supervised zero-shot segmentation using stable diffusion.

IntroStyle: Training-Free Introspective Style Attribution using Diffusion Features Diffuse attend and segment: Un- supervised zero-shot segmentation using stable diffusion

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:18:19.608402Z

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.

source=pdf_text observed=2026-08-11T12:18:19.100694Z digest=sha256:85b7e242e12295e7876ae1e551e4122aaa531920a460ce9700120ea799fe5eaa

Observation a65401d3-cb2b-449b-854b-9759649bfc1d · outbound

This paper cites P+: Extended textual conditioning in text-to- image generation.

IntroStyle: Training-Free Introspective Style Attribution using Diffusion Features P+: Extended textual conditioning in text-to- image generation

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:18:19.589215Z

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.

source=pdf_text observed=2026-08-11T12:18:19.107439Z digest=sha256:334e30c646e1410c639ee345a6a8b4f15f4ef2d396160d84b2e44522df9d874f

Observation 0798c1c8-61ba-4ac0-8d3c-064df91340b8 · outbound

This paper cites Evaluating data attribution for text-to-image models.

IntroStyle: Training-Free Introspective Style Attribution using Diffusion Features Evaluating data attribution for text-to-image models

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:18:19.570324Z

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.

source=pdf_text observed=2026-08-11T12:18:19.113221Z digest=sha256:2c3d6496a6a43d70a464771571915d60e07caca2548eb5a9a99808e327de63e3

Observation e24f3b83-5d18-48ef-8fdb-3e99d9dcbd77 · outbound

This paper cites Data Attribution for Text-to-Image Models by Unlearning Synthesized Images.

IntroStyle: Training-Free Introspective Style Attribution using Diffusion Features Data Attribution for Text-to-Image Models by Unlearning Synthesized Images

Reference 44

Resolution
verified exact
local_arxiv, observed 2026-08-11T12:18:19.235940Z

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.

source=pdf_text observed=2026-08-11T12:18:19.118897Z digest=sha256:e5e576c5f09f7090163af1d9678f90146cf7c78f148ff0188a82d5518cf1ada1

Observation c777f176-5a97-4494-a268-0521a5024d43 · outbound

This paper cites Denoising diffusion autoencoders are unified self-supervised learners.

IntroStyle: Training-Free Introspective Style Attribution using Diffusion Features Denoising diffusion autoencoders are unified self-supervised learners

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:18:19.551171Z

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.

source=pdf_text observed=2026-08-11T12:18:19.125902Z digest=sha256:2874e69bfe4ca9a6b339f7991fdb0a03c1e2bb4b5ffef76cac266c028bf00011

Observation 186476a8-e45f-485b-a63b-01b8878e65b4 · outbound

This paper cites Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You Think.

IntroStyle: Training-Free Introspective Style Attribution using Diffusion Features Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You Think

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-11T12:18:19.132490Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T12:18:19.132490Z digest=sha256:4932163632d1c3469b58b24221b333e781eb98c51eb3557fc89d495b363de34a

Observation 9a9e5cae-d558-4d54-8af2-23d931aafa50 · outbound

This paper cites Stack- gan: Text to photo-realistic image synthesis with stacked generative adversarial networks.

IntroStyle: Training-Free Introspective Style Attribution using Diffusion Features Stack- gan: Text to photo-realistic image synthesis with stacked generative adversarial networks

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-11T12:18:19.138940Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T12:18:19.138940Z digest=sha256:9e320c63fdd6a3629618e7e8e51bac4b21f01dc94125382a17a7a7621d64714e

Observation 0d4de6f3-d0ed-45f8-a391-abbe3d586516 · outbound

This paper cites Style transfer via image component analysis.

IntroStyle: Training-Free Introspective Style Attribution using Diffusion Features Style transfer via image component analysis

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:18:19.521025Z

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.

source=pdf_text observed=2026-08-11T12:18:19.145764Z digest=sha256:6f78853dfba4235b2c5d29f09d8dce69d183adccfedca833b758d022365baf42

Observation fbf27259-770a-4b08-9fb2-c9a7908ee556 · outbound

This paper cites style” prompt and used 2 of their paintings to generate “semantic.

IntroStyle: Training-Free Introspective Style Attribution using Diffusion Features style” prompt and used 2 of their paintings to generate “semantic

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:18:19.502426Z

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.

source=pdf_text observed=2026-08-11T12:18:19.151491Z digest=sha256:ff3ead3ff478335f3e52eb3e656dc6f5930a8b1f145d78cabd4eca77d94d382d

Pith citing papers

No inbound Pith citation observations are available.