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Paper Citation Record · LEDGER

Training-Free Style and Content Transfer by Leveraging U-Net Skip Connections in Stable Diffusion

As of 22 August 2026, this Paper Citation Record lists 54 of 54 outbound references and 3 inbound Pith citation observations for arXiv:2501.14524.

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

pith.paper-citation-record.v1
2501.14524 v2

Coverage vector

measured 54 of 54 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T15:08:01.475161Z

measured 57 of 57 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-30T23:11:45.930380Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T12:16:57.164455Z

Reference resolution

54 of 54 outbound references displayed

  • verified exact4
  • verified fuzzy21
  • unresolved28
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 84510528-2a8b-4cf6-91f2-2f1fafcf0fd0 · outbound

This paper cites an unresolved cited work.

Training-Free Style and Content Transfer by Leveraging U-Net Skip Connections in Stable Diffusion Unresolved cited work

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation d078608b-92f4-4f32-81b6-33a2fac45271 · outbound

This paper cites an unresolved cited work.

Training-Free Style and Content Transfer by Leveraging U-Net Skip Connections in Stable Diffusion Unresolved cited work

Reference 2

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation fbed2f3b-f876-4f13-a96f-1be62e4818b9 · outbound

This paper cites an unresolved cited work.

Training-Free Style and Content Transfer by Leveraging U-Net Skip Connections in Stable Diffusion Unresolved cited work

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 9a12b438-e2b9-4f14-aec1-8e61de8d7b32 · outbound

This paper cites In- structpix2pix: Learning to follow image editing instructions.

Training-Free Style and Content Transfer by Leveraging U-Net Skip Connections in Stable Diffusion In- structpix2pix: Learning to follow image editing instructions

Reference 4

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verified fuzzy
raw_fallback, observed 2026-08-10T15:08:02.284656Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation c2c1f1c7-b2d4-4c57-94c4-edcc2e447e8f · outbound

This paper cites an unresolved cited work.

Training-Free Style and Content Transfer by Leveraging U-Net Skip Connections in Stable Diffusion Unresolved cited work

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T15:08:01.278072Z digest=sha256:10599e334e1596be61c79b89d88a8d7db2185fd4f25c0e2ce117829347ea587a

Observation 902a9e6e-91fa-479d-8429-09a214b655ab · outbound

This paper cites Masactrl: Tuning-free mu- tual self-attention control for consistent image synthesis and editing.

Training-Free Style and Content Transfer by Leveraging U-Net Skip Connections in Stable Diffusion Masactrl: Tuning-free mu- tual self-attention control for consistent image synthesis and editing

Reference 6

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verified fuzzy
raw_fallback, observed 2026-08-10T15:08:02.259981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T15:08:01.282147Z digest=sha256:9e644ce9262b2c57b440d90c338621de33bb7beb21c1cad1a29d2cf55c4d8927

Observation e5cd0d8b-1e5e-4d39-8a93-588aee76e421 · outbound

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

Training-Free Style and Content Transfer by Leveraging U-Net Skip Connections in Stable Diffusion Emerg- ing properties in self-supervised vision transformers

Reference 7

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:08:01.286185Z digest=sha256:390cfc3c28016aaa81e1c18c1d0ecd6db31be3499d2a80f3436e9f206477ee23

Observation e7658887-40c1-4e16-adff-9602d8182989 · outbound

This paper cites The Myth of Culturally Agnostic AI Models,.

Training-Free Style and Content Transfer by Leveraging U-Net Skip Connections in Stable Diffusion The Myth of Culturally Agnostic AI Models,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:08:02.237973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T15:08:01.290152Z digest=sha256:34b2c619d5e21c4062b58adb8030491e1d30c41da031f3033b2c2f3e16cf5b2a

Observation 2e6e28c1-c4e9-4db7-9012-5b038a45c734 · outbound

This paper cites LDEdit: Towards Generalized Text Guided Image Manipulation via Latent Diffusion Mod- els.

Training-Free Style and Content Transfer by Leveraging U-Net Skip Connections in Stable Diffusion LDEdit: Towards Generalized Text Guided Image Manipulation via Latent Diffusion Mod- els

Reference 9

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raw_fallback, observed 2026-08-10T15:08:02.225450Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T15:08:01.298356Z digest=sha256:eb7c4add6f43d9ee10023faff5c79378e97de8643b54b2d0c1dac3b3ef35d7e3

Observation ddedf449-af40-4d1a-bf30-7791d19717b4 · outbound

This paper cites DiffEdit: Diffusion-based semantic image editing with mask guidance.

Training-Free Style and Content Transfer by Leveraging U-Net Skip Connections in Stable Diffusion DiffEdit: Diffusion-based semantic image editing with mask guidance

Reference 10

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no resolver link, observed 2026-08-10T15:08:01.302327Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:08:01.302327Z digest=sha256:20c64b1ae24ced95a3af259ef518fb43d2f29d8bdc05ed239b689aede19a7713

Observation 008d9323-eb37-4962-a6ad-dc18e0914048 · outbound

This paper cites Concept Sliders: LoRA Adaptors for Precise Control in Diffusion Models.

Training-Free Style and Content Transfer by Leveraging U-Net Skip Connections in Stable Diffusion Concept Sliders: LoRA Adaptors for Precise Control in Diffusion Models

Reference 11

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:08:01.307209Z digest=sha256:9baae96ae93211517746f9cd905243c7fc134b9d8dfa8413906514a9629fc45a

Observation c935cfe0-dca5-477c-8ec4-20aa970bd025 · outbound

This paper cites Brandt, and Tomer Michaeli.

Training-Free Style and Content Transfer by Leveraging U-Net Skip Connections in Stable Diffusion Brandt, and Tomer Michaeli

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:08:02.212377Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T15:08:01.311592Z digest=sha256:0cb9a6cd52673f08d9e26ec9b08fe2c1a20e1fd6c6905c79aeb4f0e663d65ea6

Observation 3003e6a1-1ea3-40cc-b991-cba5a1288096 · outbound

This paper cites Prompt-to-Prompt Image Editing with Cross Attention Control.

Training-Free Style and Content Transfer by Leveraging U-Net Skip Connections in Stable Diffusion Prompt-to-Prompt Image Editing with Cross Attention Control

Reference 14

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:08:01.319692Z digest=sha256:9dd3b32fc16652d2b8c9a9dd65a3504bb666f78e8a6c6bf5eba10db943068214

Observation 2a0a9f5f-ef5a-4988-a761-6a06570cba1a · outbound

This paper cites beta-V AE: Learning Basic Visual Con- cepts with a Constrained Variational Framework.

Training-Free Style and Content Transfer by Leveraging U-Net Skip Connections in Stable Diffusion beta-V AE: Learning Basic Visual Con- cepts with a Constrained Variational Framework

Reference 15

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verified fuzzy
raw_fallback, observed 2026-08-10T15:08:02.199988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T15:08:01.323420Z digest=sha256:c7a4adcdee54a356c4003d6d47e987b2543224d1d485b31928cd804ec5686a31

Observation eeca80f6-66e2-4b34-99c7-25d026a11e73 · outbound

This paper cites Classifier-Free Diffusion Guidance.

Training-Free Style and Content Transfer by Leveraging U-Net Skip Connections in Stable Diffusion Classifier-Free Diffusion Guidance

Reference 16

Resolution
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raw_fallback, observed 2026-08-10T15:08:02.185998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T15:08:01.327432Z digest=sha256:e0eded36758cd2efe5506a67a0e1d024c74b13fecaa4b03dfba1d026605cc8dd

Observation 60ccb30e-5aa4-4676-bbef-e9732c464e36 · outbound

This paper cites Denoising Diffusion Probabilistic Models.

Training-Free Style and Content Transfer by Leveraging U-Net Skip Connections in Stable Diffusion Denoising Diffusion Probabilistic Models

Reference 17

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:08:01.331298Z digest=sha256:878fd63dcb882d4b4bd24265f239eec21dc7dc17c905c7ea85adac2883dff8bd

Observation c6bbf929-3487-4453-bb98-20626bd19dd1 · outbound

This paper cites There Is a Digital Art History.

Training-Free Style and Content Transfer by Leveraging U-Net Skip Connections in Stable Diffusion There Is a Digital Art History

Reference 18

Resolution
verified exact
local_arxiv, observed 2026-08-10T15:08:01.898005Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T15:08:01.335367Z digest=sha256:7b462aa89e38b8bb49654c51780b83cdf38eaf1200d303a4db3d80ad17904daa

Observation 91c0e273-7028-478c-87ac-19fed4ac4e1b · outbound

This paper cites Training- Free Content Injection Using H-Space in Diffusion Models.

Training-Free Style and Content Transfer by Leveraging U-Net Skip Connections in Stable Diffusion Training- Free Content Injection Using H-Space in Diffusion Models

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T15:08:01.339698Z digest=sha256:8368360944fa19fc9681497f403f646009a6b7a68bae26afa2fe2dfd44b96fbd

Observation d6fb3714-d865-4dec-8fd5-a86eeb452065 · outbound

This paper cites DiffArtist: Towards Structure and Appearance Controllable Image Stylization.

Training-Free Style and Content Transfer by Leveraging U-Net Skip Connections in Stable Diffusion DiffArtist: Towards Structure and Appearance Controllable Image Stylization

Reference 20

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 6d5ce2aa-ae92-43c9-9182-d848e49f67ae · outbound

This paper cites A Style- Based Generator Architecture for Generative Adversarial Networks.

Training-Free Style and Content Transfer by Leveraging U-Net Skip Connections in Stable Diffusion A Style- Based Generator Architecture for Generative Adversarial Networks

Reference 21

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raw_fallback, observed 2026-08-10T15:08:02.158903Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T15:08:01.347150Z digest=sha256:1afc923f801afd9ec775653f731d5bc590aab45aa5cef434cfe7a009a6229d0c

Observation 12ac122f-dcdf-44d7-9389-f60fadcac5a7 · outbound

This paper cites Diffu- sionCLIP: Text-Guided Diffusion Models for Robust Image Manipulation.

Training-Free Style and Content Transfer by Leveraging U-Net Skip Connections in Stable Diffusion Diffu- sionCLIP: Text-Guided Diffusion Models for Robust Image Manipulation

Reference 22

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T15:08:01.350727Z digest=sha256:91672215940ab41b1b743a7c9d9e40ead8c8d15693e65e9f47c12d03e39d5260

Observation 46ada753-a362-44d7-8d61-2df13c58db1e · outbound

This paper cites Auto-Encoding Variational Bayes.

Training-Free Style and Content Transfer by Leveraging U-Net Skip Connections in Stable Diffusion Auto-Encoding Variational Bayes

Reference 23

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation b98c85a7-e517-4012-9df1-5c4d33f226cb · outbound

This paper cites Diffusion Models already have a Semantic Latent Space.

Training-Free Style and Content Transfer by Leveraging U-Net Skip Connections in Stable Diffusion Diffusion Models already have a Semantic Latent Space

Reference 24

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:08:01.358296Z digest=sha256:5ded88b1a6c862de2f6562f0b17c41b02ccbaaa2aad34d630b7816778528e67c

Observation b454e4ba-7409-4055-8d1b-dc13a80bd31c · outbound

This paper cites Towards Understanding Cross and Self-Attention in Stable Diffusion for Text-Guided Image Editing.

Training-Free Style and Content Transfer by Leveraging U-Net Skip Connections in Stable Diffusion Towards Understanding Cross and Self-Attention in Stable Diffusion for Text-Guided Image Editing

Reference 25

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:08:01.362177Z digest=sha256:07b59716fffd18aff063fa35cb801ff838a996367698fbff843aa0e8c1d40883

Observation 063f8966-ea81-4906-9fa7-9bcfd8d0395d · outbound

This paper cites Introducing pix2pix- zero: Efficient and effective zero-shot image-to-image trans- lation with diffusion models.

Training-Free Style and Content Transfer by Leveraging U-Net Skip Connections in Stable Diffusion Introducing pix2pix- zero: Efficient and effective zero-shot image-to-image trans- lation with diffusion models

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:08:02.132309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T15:08:01.366054Z digest=sha256:547580ad351d9590793a34ba08e53010c6ac5494cfd1047511f48c1002dce349

Observation 91479e09-32bd-4ada-9d09-12258e136875 · outbound

This paper cites SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations.

Training-Free Style and Content Transfer by Leveraging U-Net Skip Connections in Stable Diffusion SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-10T15:08:01.370596Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:08:01.370596Z digest=sha256:b448ffb5fe188840686b90bb0c0ee4cd200700a429de0edc282f938374a6340b

Observation 756030a1-dd5a-47b0-9209-f27ce14e9a37 · outbound

This paper cites T2I-Adapter: Learning Adapters to Dig out More Controllable Ability for Text-to-Image Diffusion Models.

Training-Free Style and Content Transfer by Leveraging U-Net Skip Connections in Stable Diffusion T2I-Adapter: Learning Adapters to Dig out More Controllable Ability for Text-to-Image Diffusion Models

Reference 28

Resolution
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no resolver link, observed 2026-08-10T15:08:01.374970Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:08:01.374970Z digest=sha256:4463d45197bb83f6c4204d42192cd4252bc21e47085c228e75d95c6cdfefc9b8

Observation 129c27a7-b3bc-481f-8b7a-585658114dda · outbound

This paper cites PreciseControl: Enhancing Text-To-Image Diffusion Models with Fine-Grained Attribute Control.

Training-Free Style and Content Transfer by Leveraging U-Net Skip Connections in Stable Diffusion PreciseControl: Enhancing Text-To-Image Diffusion Models with Fine-Grained Attribute Control

Reference 29

Resolution
verified exact
local_arxiv, observed 2026-08-10T15:08:01.793081Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T15:08:01.378968Z digest=sha256:96198d46b9887e8b5dcfa04adc619079f19950b1f7eb75f59095962e1f3a06ba

Observation 8e4e49ed-836c-4373-843f-e2c6a1a60a55 · outbound

This paper cites Shape-guided diffusion with inside-outside atten- tion.

Training-Free Style and Content Transfer by Leveraging U-Net Skip Connections in Stable Diffusion Shape-guided diffusion with inside-outside atten- tion

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:08:02.119097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T15:08:01.382984Z digest=sha256:effa9ff677c247faa91634517ae5f50b5626b5753da1dfa4c1dcef2ddfcb1777

Observation ce42b291-9427-4796-98fe-eb1708e203b1 · outbound

This paper cites Scalable Diffusion Models with Transformers.

Training-Free Style and Content Transfer by Leveraging U-Net Skip Connections in Stable Diffusion Scalable Diffusion Models with Transformers

Reference 31

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unresolved
no resolver link, observed 2026-08-10T15:08:01.386696Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:08:01.386696Z digest=sha256:46cfca4b3994a389ee65ad613f6327694bb19fd9c2a9d3948c63a4819c6c54f8

Observation aac69e0b-5a5d-4185-b9b9-5df19295b531 · outbound

This paper cites SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis.

Training-Free Style and Content Transfer by Leveraging U-Net Skip Connections in Stable Diffusion SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis

Reference 32

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unresolved
no resolver link, observed 2026-08-10T15:08:01.391081Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:08:01.391081Z digest=sha256:d093f8a526d994a12cf7c2a9f15c59a2d2fbd595da0c6cdf793be53db6c40a56

Observation 1c91bbc1-73ca-4702-bc91-ba045665fdf1 · outbound

This paper cites Learning Transferable Visual Models From Natural Language Supervision.

Training-Free Style and Content Transfer by Leveraging U-Net Skip Connections in Stable Diffusion Learning Transferable Visual Models From Natural Language Supervision

Reference 33

Resolution
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no resolver link, observed 2026-08-10T15:08:01.395151Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:08:01.395151Z digest=sha256:db2ce9f830d398a97d21a4199c090c05701b1ed56a6a7a4963e1884ae372b06c

Observation 6d59e6c6-065f-43f8-aab8-4d714d87e862 · outbound

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

Training-Free Style and Content Transfer by Leveraging U-Net Skip Connections in Stable Diffusion Learning transferable visual models from natural language supervi- sion

Reference 34

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unresolved
no resolver link, observed 2026-08-10T15:08:01.399223Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:08:01.399223Z digest=sha256:5e32562340da6d64b2247cea6259a2b6b40f1bb6a8ee2fc670ddd2b43b51eda1

Observation 846d1ed4-ffe8-4446-b201-ce0b968620c1 · outbound

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

Training-Free Style and Content Transfer by Leveraging U-Net Skip Connections in Stable Diffusion Hierarchical Text-Conditional Image Generation with CLIP Latents

Reference 35

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unresolved
no resolver link, observed 2026-08-10T15:08:01.403342Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:08:01.403342Z digest=sha256:b0e7dabf99fcc4cabb7ce736c5165a0fd51938b3730b3587d8621f84920bfaed

Observation ccee5557-b567-4bd9-b548-54a4b170d423 · outbound

This paper cites Techno-Concepts for the Cultural Field: n-Dimensional Space and Its Conceptual Constella- tion.

Training-Free Style and Content Transfer by Leveraging U-Net Skip Connections in Stable Diffusion Techno-Concepts for the Cultural Field: n-Dimensional Space and Its Conceptual Constella- tion

Reference 36

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T15:08:01.407504Z digest=sha256:06932dd2e228e3bcbdbc12c3c8ed69303078607964d5d3a176ddf6257f523113

Observation e4d52113-ce37-4848-b44b-c1250edf4be7 · outbound

This paper cites High-Resolution Image Synthesis With Latent Diffusion Models.

Training-Free Style and Content Transfer by Leveraging U-Net Skip Connections in Stable Diffusion High-Resolution Image Synthesis With Latent Diffusion Models

Reference 37

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T15:08:01.411475Z digest=sha256:5acbc343bd76eab22e58adaad2e3066fb175c05035250e229c4c58fd6bef6d5f

Observation 5c50d8e2-8123-4f09-8c54-66bcf38fec85 · outbound

This paper cites U-Net: Convolutional Networks for Biomedical Image Segmentation.

Training-Free Style and Content Transfer by Leveraging U-Net Skip Connections in Stable Diffusion U-Net: Convolutional Networks for Biomedical Image Segmentation

Reference 38

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unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:08:01.415384Z digest=sha256:7300bab3e42759ac1c191cb7d7a614cc0ec58cf1284983066f6abd17d2befa9a

Observation 27c597aa-2a26-4bbe-9f66-d17d21504d0c · outbound

This paper cites DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation.

Training-Free Style and Content Transfer by Leveraging U-Net Skip Connections in Stable Diffusion DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation

Reference 39

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T15:08:01.419477Z digest=sha256:c34d58112043c577757a63ae76d4beb75a27f0858b3f2c5856d5cba955b41e05

Observation 7b339a8a-da47-4378-ac12-58eda6d7728a · outbound

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

Training-Free Style and Content Transfer by Leveraging U-Net Skip Connections in Stable Diffusion LAION-5B: An open large-scale dataset for training next generation image-text models

Reference 40

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unresolved
no resolver link, observed 2026-08-10T15:08:01.423096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:08:01.423096Z digest=sha256:f9bcf932d6c910043ed0f586699a4c797895bc541ce3929a408773d8a941324b

Observation 12e360ae-0e6d-42bd-bcab-6524b31f0627 · outbound

This paper cites Everything lies in a space: cultural data and spatial reality.

Training-Free Style and Content Transfer by Leveraging U-Net Skip Connections in Stable Diffusion Everything lies in a space: cultural data and spatial reality

Reference 41

Resolution
malformed identifier
no resolver link, observed 2026-08-10T15:08:01.426961Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation b3c0a335-6291-4c56-b45b-63fd27191879 · outbound

This paper cites InterFaceGAN: Interpreting the Disentangled Face Repre- sentation Learned by GANs.

Training-Free Style and Content Transfer by Leveraging U-Net Skip Connections in Stable Diffusion InterFaceGAN: Interpreting the Disentangled Face Repre- sentation Learned by GANs

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:08:02.057884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T15:08:01.430657Z digest=sha256:4bd0b289bd94d7fd7752a43b4bb7ce792b4904c877fa83ef3b3d5340a75aadcc

Observation 5dc3e609-f730-4a8b-bd91-7e717fc636ac · outbound

This paper cites Deep Unsupervised Learning using Nonequilibrium Thermodynamics.

Training-Free Style and Content Transfer by Leveraging U-Net Skip Connections in Stable Diffusion Deep Unsupervised Learning using Nonequilibrium Thermodynamics

Reference 43

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unresolved
no resolver link, observed 2026-08-10T15:08:01.434683Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:08:01.434683Z digest=sha256:bb935fb7262c9ac2dfc2a255c1521af82c3a952bd31e36376b9f210415eec6b1

Observation 253be24a-e059-4fd1-afe1-db0092b8a960 · outbound

This paper cites Denoising Diffusion Implicit Models.

Training-Free Style and Content Transfer by Leveraging U-Net Skip Connections in Stable Diffusion Denoising Diffusion Implicit Models

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-10T15:08:01.438667Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:08:01.438667Z digest=sha256:7be9cc0ae61b13e66521ab9b3762ae76154eab01b3f78558a40bd7ee1e1b2d7c

Observation 5d518965-341d-472c-9940-9bd57905c59d · outbound

This paper cites CTRLorALTer: Conditional LoRAdapter for Efficient 0-Shot Control & Altering of T2I Models.

Training-Free Style and Content Transfer by Leveraging U-Net Skip Connections in Stable Diffusion CTRLorALTer: Conditional LoRAdapter for Efficient 0-Shot Control & Altering of T2I Models

Reference 45

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unresolved
no resolver link, observed 2026-08-10T15:08:01.442608Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:08:01.442608Z digest=sha256:26b2fd75527da3a90bf38d7a8bb17c30869e92457daae9cd10c0033ef2c31364

Observation 69569f15-a944-4d18-9609-1a432a71e5a2 · outbound

This paper cites Plug-and-play diffusion features for text-driven image-to-image translation.

Training-Free Style and Content Transfer by Leveraging U-Net Skip Connections in Stable Diffusion Plug-and-play diffusion features for text-driven image-to-image translation

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:08:02.044581Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T15:08:01.446542Z digest=sha256:7e4e4631c8dfdc2499584c72546c0679738e898bba35023fcdbd1a5b8fe80bba

Observation cbb1ad11-a30f-485c-a0e9-766640fb762c · outbound

This paper cites Plug-and-Play Diffusion Features for Text-Driven Image-to-Image Translation.

Training-Free Style and Content Transfer by Leveraging U-Net Skip Connections in Stable Diffusion Plug-and-Play Diffusion Features for Text-Driven Image-to-Image Translation

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:08:02.032102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T15:08:01.450224Z digest=sha256:63790aa46cb50bda7e03fdd71c4e6b81d66a3238c1f6100ec73bd0211afc68bf

Observation 78ca1fa5-174f-4f70-a4a9-9f418274122d · outbound

This paper cites Mapping the Latent Spaces of Culture.

Training-Free Style and Content Transfer by Leveraging U-Net Skip Connections in Stable Diffusion Mapping the Latent Spaces of Culture

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:08:02.019243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T15:08:01.453756Z digest=sha256:d8a8de643b3fdb0ff40d4650394ef15dd7795098f964042b4480a9f981277ce5

Observation 57ae2e90-0c7b-495f-9583-922355e1c6ba · outbound

This paper cites Can We Map Culture? Journal of Cultural Analytics, 6(3), 2021.

Training-Free Style and Content Transfer by Leveraging U-Net Skip Connections in Stable Diffusion Can We Map Culture? Journal of Cultural Analytics, 6(3), 2021

Reference 49

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T15:08:01.457308Z digest=sha256:cb82a14aab9c53d32aea3d7a4b7cd67cf6fb46c46a3926b3888761bfe870fc33

Observation 9f50ecec-0b33-434d-86e4-b3e24daa2c6c · outbound

This paper cites Lamer, Evelyne Treinen, and Kristin Pauker.

Training-Free Style and Content Transfer by Leveraging U-Net Skip Connections in Stable Diffusion Lamer, Evelyne Treinen, and Kristin Pauker

Reference 50

Resolution
verified exact
doi, observed 2026-08-10T15:08:01.510969Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T15:08:01.460750Z digest=sha256:8601fff98816cbb8307a7a68cc83b1feac7b09b1c415b17aa158192f183465ae

Observation 89c7967d-13b2-4271-9276-c21836dfd9d5 · outbound

This paper cites Adding Conditional Control to Text-to-Image Diffusion Models,.

Training-Free Style and Content Transfer by Leveraging U-Net Skip Connections in Stable Diffusion Adding Conditional Control to Text-to-Image Diffusion Models,

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:08:01.991452Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T15:08:01.464511Z digest=sha256:15928024d94986f55664d1fb668adb11de3251868ad00e9add23e5a4937a8a86

Observation 0cf06cc0-8e5d-442b-86ba-d43e2996d9a2 · outbound

This paper cites The unreasonable effectiveness of deep features as a perceptual metric.

Training-Free Style and Content Transfer by Leveraging U-Net Skip Connections in Stable Diffusion The unreasonable effectiveness of deep features as a perceptual metric

Reference 52

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unresolved
no resolver link, observed 2026-08-10T15:08:01.471639Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:08:01.471639Z digest=sha256:30800e8cb793bcb0886cedc2003ff1d19f774271f5807f2aa0cb87eadbdfdf04

Observation e2c4a01b-941d-43d8-97a3-3de52fe78d43 · outbound

This paper cites Boundary Guided Learning-Free Semantic Control with Diffusion Models.

Training-Free Style and Content Transfer by Leveraging U-Net Skip Connections in Stable Diffusion Boundary Guided Learning-Free Semantic Control with Diffusion Models

Reference 53

Resolution
verified exact
local_arxiv, observed 2026-08-10T15:08:01.530798Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T15:08:01.475161Z digest=sha256:44ffe37d0221a8fa4e8dd3cbc390175b094e96a677cf921f05d521a46c0648b5

Observation d452a37d-e4d1-4d5f-93c5-cfbb63215561 · outbound

This paper cites The Myth of Culturally Agnostic AI Models.

Training-Free Style and Content Transfer by Leveraging U-Net Skip Connections in Stable Diffusion The Myth of Culturally Agnostic AI Models

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-10T15:08:01.294041Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:08:01.294041Z digest=sha256:9313fdb6cfaffd1994bc3261e60054a407baf313027cd50cbb57a40792afefca

Observation f8a2fef1-4619-41c6-8394-c222cf4c7d79 · outbound

This paper cites Adding Conditional Control to Text-to-Image Diffusion Models.

Training-Free Style and Content Transfer by Leveraging U-Net Skip Connections in Stable Diffusion Adding Conditional Control to Text-to-Image Diffusion Models

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-10T15:08:01.468026Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:08:01.468026Z digest=sha256:0ee30ab21ef2988b2d7655247e566c7a85d3c047f7c26c27eeaaf61fc57ea13a

Pith citing papers

Observation 693a873e-51e8-4c3a-9eac-1c45431f0625 · inbound

Injecting Image Guidance into Text-Conditioned Diffusion Models at Inference cites this paper.

Injecting Image Guidance into Text-Conditioned Diffusion Models at Inference Training-Free Style and Content Transfer by Leveraging U-Net Skip Connections in Stable Diffusion

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-06-30T12:34:39.339611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-30T12:10:43.043952Z digest=sha256:9b0b2dd0034c3d15c28c3a21f73470fc0d7b5744ffdb6fbed86bf0bf48205f88

Observation 0fad02bf-3ba9-48b1-b81c-bca4fa132bf5 · inbound

Gender Artifacts from Art History to Text-to-Image Generation cites this paper.

Gender Artifacts from Art History to Text-to-Image Generation Training-Free Style and Content Transfer by Leveraging U-Net Skip Connections in Stable Diffusion

Reference 49

Resolution
verified exact
arxiv_id, observed 2026-07-02T12:16:57.166041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-28T02:16:28.713081Z digest=sha256:e79dda941cfb88178f9d7d84ead82ebb69f01f42baea164ae4c2a2e5e160f36c

Observation 44e2cb12-c706-4127-be71-d56a7de19508 · inbound

FreeShadow: Training-Free Shadow Removal via Illumination Transfer and Selective Content Preservation in Diffusion Models cites this paper.

FreeShadow: Training-Free Shadow Removal via Illumination Transfer and Selective Content Preservation in Diffusion Models Training-Free Style and Content Transfer by Leveraging U-Net Skip Connections in Stable Diffusion

Reference 37

Resolution
unresolved
no resolver link, observed 2026-07-30T23:11:45.930380Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T23:11:45.930380Z digest=sha256:1acb0f03332344e9070aa140bddcf9a0e6b137375aeb7d7beccc982fe12754c6