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Paper Citation Record · LEDGER

Measuring Style Similarity in Diffusion Models

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 40 inbound Pith citation observations for arXiv:2404.01292.

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

pith.paper-citation-record.v1
2404.01292 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 40 of 40 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 40 of 40 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T17:10:17.174286Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T19:50:10.486935Z

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

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Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 0697d1b7-c767-42c0-b212-be9cac2e9eb8 · inbound

OmniPrism: Learning Disentangled Visual Concept for Image Generation cites this paper.

OmniPrism: Learning Disentangled Visual Concept for Image Generation Measuring Style Similarity in Diffusion Models

Reference 35

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arxiv_id, observed 2026-05-23T06:45:28.410255Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-23T06:42:59.835198Z digest=sha256:859189786be21c6dc29d7923704f68ae158dbaf2fa2c2345f4d08fe8915e0911

Observation 29408a7f-b8c0-4d91-bf2b-4c5f157e00bc · inbound

CoDe: Blockwise Control for Denoising Diffusion Models cites this paper.

CoDe: Blockwise Control for Denoising Diffusion Models Measuring Style Similarity in Diffusion Models

Reference 51

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no resolver link, observed 2026-08-09T17:10:17.174286Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T17:10:17.174286Z digest=sha256:659b92c28ede9aba819d5c204217bbe36eb1109e4f504a8aa21548d5f120cb78

Observation 0c09b37b-6a4d-41af-befe-7926fcf1a01c · inbound

StyleBlend: Enhancing Style-Specific Content Creation in Text-to-Image Diffusion Models cites this paper.

StyleBlend: Enhancing Style-Specific Content Creation in Text-to-Image Diffusion Models Measuring Style Similarity in Diffusion Models

Reference 36

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no resolver link, observed 2026-08-07T22:46:36.513482Z

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source=pdf_text observed=2026-08-07T22:46:36.513482Z digest=sha256:4cda920f0dd80b5c18b6562f9c328d10650a832f27112feefbe653cbd0ca2301

Observation e4c92bcc-6266-492c-b25f-494afd5d2422 · inbound

UNIC: Unified In-Context Video Editing cites this paper.

UNIC: Unified In-Context Video Editing Measuring Style Similarity in Diffusion Models

Reference 50

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no resolver link, observed 2026-08-07T10:51:43.109653Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:51:43.109653Z digest=sha256:649643433d595ba161c0f00c9f866e2d596705877e85cc9a966325b0c852b741

Observation 0c578d88-8b32-4f3d-ae61-ee53d119baf9 · inbound

Zero-Shot Adaptation of Parameter-Efficient Fine-Tuning in Diffusion Models cites this paper.

Zero-Shot Adaptation of Parameter-Efficient Fine-Tuning in Diffusion Models Measuring Style Similarity in Diffusion Models

Reference 2006

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source=pdf_text observed=2026-08-07T12:43:41.302540Z digest=sha256:f4f9c18727e947a4053564574fe81071ab98b9141423ba2493d8c75099b3a188

Observation aad3d495-db8d-4758-bb98-00dd1e0ed42d · inbound

Quantifying Cross-Modality Memorization in Vision-Language Models cites this paper.

Quantifying Cross-Modality Memorization in Vision-Language Models Measuring Style Similarity in Diffusion Models

Reference 14

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no resolver link, observed 2026-08-07T10:27:49.301075Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:27:49.301075Z digest=sha256:4e40aa04c58367919577f518536f31dea506442a6ff3dfa537c81a9799a67c6f

Observation a4cec638-0a26-49a3-8f32-3db73838c31b · inbound

OneIG-Bench: Omni-dimensional Nuanced Evaluation for Image Generation cites this paper.

OneIG-Bench: Omni-dimensional Nuanced Evaluation for Image Generation Measuring Style Similarity in Diffusion Models

Reference 58

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source=pdf_text observed=2026-08-07T05:25:44.404354Z digest=sha256:553f07555fe71fbc52f92ed8fb6b5434d79798bddc4931ae3e9aeefd86c9fefd

Observation 9bed9dde-9036-4752-9d99-4897a313801c · inbound

CDST: Color Disentangled Style Transfer for Universal Style Reference Customization cites this paper.

CDST: Color Disentangled Style Transfer for Universal Style Reference Customization Measuring Style Similarity in Diffusion Models

Reference 11

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source=pdf_text observed=2026-08-07T14:55:40.232906Z digest=sha256:80813998efa466b7d8a3e16608fe7abb7adb9d0f2855e7447582f9064217e790

Observation 0ff357ea-02dd-495b-a5c6-a5aba7f68d00 · inbound

MTADiffusion: Mask Text Alignment Diffusion Model for Object Inpainting cites this paper.

MTADiffusion: Mask Text Alignment Diffusion Model for Object Inpainting Measuring Style Similarity in Diffusion Models

Reference 31

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source=pdf_text observed=2026-08-06T21:44:33.912238Z digest=sha256:affd93ff32dcf6871fd3ab4bbaded1b535bd5fcee93b30eb6425bb7445f00cce

Observation d2bd5d12-c6e1-4932-b9b2-444e9c7f733f · inbound

From Imitation to Innovation: The Emergence of AI Unique Artistic Styles and the Challenge of Copyright Protection cites this paper.

From Imitation to Innovation: The Emergence of AI Unique Artistic Styles and the Challenge of Copyright Protection Measuring Style Similarity in Diffusion Models

Reference 34

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source=pdf_text observed=2026-08-06T19:44:33.734597Z digest=sha256:b6c3b1893f9a7a6149c923c7149d42e55547fac19704e059b98924f3de2bfe4d

Observation e5a6a73c-a85f-4510-98b1-a50d9ade6024 · inbound

A Survey on Generative Model Unlearning: Fundamentals, Taxonomy, Evaluation, and Future Direction cites this paper.

A Survey on Generative Model Unlearning: Fundamentals, Taxonomy, Evaluation, and Future Direction Measuring Style Similarity in Diffusion Models

Reference 206

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source=pdf_text observed=2026-08-06T13:54:40.294295Z digest=sha256:92a121bdb8f5f48499432c53b4f3cf992f3dcbef8afa777cb1d5e4a9cd09f6c9

Observation 002d78fd-d25e-4b98-8a83-de8768c2e327 · inbound

AIComposer: Any Style and Content Image Composition via Feature Integration cites this paper.

AIComposer: Any Style and Content Image Composition via Feature Integration Measuring Style Similarity in Diffusion Models

Reference 50

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source=pdf_text observed=2026-08-06T13:26:21.513470Z digest=sha256:6f499ecbbb6a64064994b313b914d1c68f629570310f9036a162d3d75d099d84

Observation 0d848b48-0c26-4684-818b-b6901157575e · inbound

The Cow of Rembrandt - Analyzing Artistic Prompt Interpretation in Text-to-Image Models cites this paper.

The Cow of Rembrandt - Analyzing Artistic Prompt Interpretation in Text-to-Image Models Measuring Style Similarity in Diffusion Models

Reference 23

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arxiv_id, observed 2026-05-21T23:44:26.939199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-21T23:41:50.534434Z digest=sha256:e089a179c31da73eb4a64fd0e35d833e43165979c8e32bbf1c7e9b90b5d953b6

Observation 8c76ada6-c7a6-4fe6-be94-6e90d8cfc7b5 · inbound

USO: Unified Style and Subject-Driven Generation via Disentangled and Reward Learning cites this paper.

USO: Unified Style and Subject-Driven Generation via Disentangled and Reward Learning Measuring Style Similarity in Diffusion Models

Reference 26

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source=pdf_text observed=2026-08-05T16:07:24.692815Z digest=sha256:903a00655ad2a77ff0fcb4718d1960132392cb0a885e849332cc1a88167e942d

Observation bc33aa24-bdb6-4865-a819-341fb9cae2f0 · inbound

Neural Scene Designer: Self-Styled Semantic Image Manipulation cites this paper.

Neural Scene Designer: Self-Styled Semantic Image Manipulation Measuring Style Similarity in Diffusion Models

Reference 31

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no resolver link, observed 2026-08-05T12:39:03.503785Z

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source=pdf_text observed=2026-08-05T12:39:03.503785Z digest=sha256:745c23148f0fc77cecc5598569eb9f295d933da7938109f285ac798f95be56a4

Observation 0ea392e5-3c08-45cf-a08c-7434700f98c4 · inbound

MMD Guidance: Training-Free Distribution Adaptation for Diffusion Models via Maximum Mean Discrepancy Guidance cites this paper.

MMD Guidance: Training-Free Distribution Adaptation for Diffusion Models via Maximum Mean Discrepancy Guidance Measuring Style Similarity in Diffusion Models

Reference 52

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no resolver link, observed 2026-08-03T10:55:15.543771Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T10:55:15.543771Z digest=sha256:7755c4711ed11b0911a763621601a486c19ab381a20fe52d49d1a35487e503d7

Observation 551357b4-f637-45d0-a388-90e470c8fe93 · inbound

GimmBO: Interactive Generative Image Model Merging via Bayesian Optimization cites this paper.

GimmBO: Interactive Generative Image Model Merging via Bayesian Optimization Measuring Style Similarity in Diffusion Models

Reference 2020

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source=pdf_text observed=2026-08-03T08:00:07.409060Z digest=sha256:9889e770bbb04d391acc1fd59d6fd5efda7b1dbfe0ec91c4eb391bd1879809bb

Observation fbed92e9-a742-4f2a-9687-27d0749482bf · inbound

TokenTrace: Multi-Concept Attribution through Watermarked Token Recovery cites this paper.

TokenTrace: Multi-Concept Attribution through Watermarked Token Recovery Measuring Style Similarity in Diffusion Models

Reference 34

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arxiv_id, observed 2026-05-15T20:56:37.020006Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-15T20:56:10.330750Z digest=sha256:d8f7b9a1a68d6d614e57866076daecd6823f00de7e616d6565e2150f55cf6031

Observation f4bd921b-47e2-41ce-bfe6-e437aa0ca4ee · inbound

PureCC: Pure Learning for Text-to-Image Concept Customization cites this paper.

PureCC: Pure Learning for Text-to-Image Concept Customization Measuring Style Similarity in Diffusion Models

Reference 41

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arxiv_id, observed 2026-05-21T11:10:02.173848Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 4cafce57-2c12-4c82-86f5-48e413a16334 · inbound

MegaStyle: Constructing Diverse and Scalable Style Dataset via Consistent Text-to-Image Style Mapping cites this paper.

MegaStyle: Constructing Diverse and Scalable Style Dataset via Consistent Text-to-Image Style Mapping Measuring Style Similarity in Diffusion Models

Reference 41

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arxiv_id, observed 2026-05-11T05:51:11.153829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T17:54:25.679094Z digest=sha256:36d0fdde6330e6b1bf1779b5cb7897c77c1c89a27572cf53832bf041f4cb84a1

Observation 01dcfa24-37b7-4734-be12-1e84fdebc136 · inbound

DiT as Real-Time Rerenderer: Streaming Video Stylization with Autoregressive Diffusion Transformer cites this paper.

DiT as Real-Time Rerenderer: Streaming Video Stylization with Autoregressive Diffusion Transformer Measuring Style Similarity in Diffusion Models

Reference 27

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arxiv_id, observed 2026-05-10T14:20:30.008807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T14:19:55.598710Z digest=sha256:736e6b46a1bb062c5f256d09dfb5c5ba30a7aca38b3e764413f20f4d399651ce

Observation c4a2b95c-863f-45b4-960c-0f961708257d · inbound

Towards In-Context Tone Style Transfer with A Large-Scale Triplet Dataset cites this paper.

Towards In-Context Tone Style Transfer with A Large-Scale Triplet Dataset Measuring Style Similarity in Diffusion Models

Reference 38

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arxiv_id, observed 2026-05-10T09:08:26.597777Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T08:23:04.555337Z digest=sha256:8c0facc399905940cc1d8fe5f2ac938f93135328b81c23e5a59b8b177feba9fb

Observation 8c7c5200-cf24-4da6-a378-4a1bd9147a0c · inbound

UniCSG: Unified High-Fidelity Content-Constrained Style-Driven Generation via Staged Semantic and Frequency Disentanglement cites this paper.

UniCSG: Unified High-Fidelity Content-Constrained Style-Driven Generation via Staged Semantic and Frequency Disentanglement Measuring Style Similarity in Diffusion Models

Reference 29

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arxiv_id, observed 2026-05-10T09:33:41.719864Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T05:15:04.561573Z digest=sha256:823676c99ed45923ee076fa6190fccda46b68590bc47c87c5cf2004d53d59165

Observation 7d5a4a66-5317-43c2-b8e5-008faf917a8a · inbound

When Style Similarity Scores Fail: Diagnosing Raw CSD Cosine in Artist-Style Evaluation cites this paper.

When Style Similarity Scores Fail: Diagnosing Raw CSD Cosine in Artist-Style Evaluation Measuring Style Similarity in Diffusion Models

Reference 15

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arxiv_id, observed 2026-05-12T02:21:16.750250Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-12T02:19:12.991458Z digest=sha256:6992af2e72867ded6ac1f95fb3d57e8bce031491d1db7ed4d6afdb1e96843eac

Observation f8011f41-2daa-4cf1-9613-11e3da9bf226 · inbound

When Style Similarity Scores Fail: Diagnosing Raw CSD Cosine in Artist-Style Evaluation cites this paper.

When Style Similarity Scores Fail: Diagnosing Raw CSD Cosine in Artist-Style Evaluation Measuring Style Similarity in Diffusion Models

Reference 17

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T17:15:39.501492Z digest=sha256:56a0e5fa4e5eb6491948676fae7a469a8ad9e12b87c002f9ecbba88208408700

Observation 5b5e3f0b-0dfb-48e9-8693-37b6ffa1758a · inbound

The Silent Brush: Evaluating Artistic Style Leakage in AI Art Generation cites this paper.

The Silent Brush: Evaluating Artistic Style Leakage in AI Art Generation Measuring Style Similarity in Diffusion Models

Reference 9

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arxiv_id, observed 2026-05-20T14:33:21.315853Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-20T14:32:21.995213Z digest=sha256:36669d6fe8122af427878507b4b54a72d6bce90e7e54edab298ac12adeee3bc4

Observation 9aa39fb2-e267-4e05-926a-5f1498134177 · inbound

MSAVBench: Towards Comprehensive and Reliable Evaluation of Multi-Shot Audio-Video Generation cites this paper.

MSAVBench: Towards Comprehensive and Reliable Evaluation of Multi-Shot Audio-Video Generation Measuring Style Similarity in Diffusion Models

Reference 53

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arxiv_id, observed 2026-05-20T05:18:03.131342Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-20T05:17:11.690484Z digest=sha256:0f4137b4f6c9590f7c6b72c3697928b41bc0a527a5854a5f5e5da8e955f5209e

Observation da56686f-a0d3-49ff-90bf-e3f0db9ab855 · inbound

MSAVBench: Towards Comprehensive and Reliable Evaluation of Multi-Shot Audio-Video Generation cites this paper.

MSAVBench: Towards Comprehensive and Reliable Evaluation of Multi-Shot Audio-Video Generation Measuring Style Similarity in Diffusion Models

Reference 53

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arxiv_id, observed 2026-06-30T18:04:58.067121Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T18:00:39.556424Z digest=sha256:cda94597f9fa754a96c65a0be0546405c2e911842f4e7bebccfc4e119ac5814b

Observation d09314a4-5b05-481c-9151-80614d25aaca · inbound

OpenSkillEval: Automatically Auditing the Open Skill Ecosystem for LLM Agents cites this paper.

OpenSkillEval: Automatically Auditing the Open Skill Ecosystem for LLM Agents Measuring Style Similarity in Diffusion Models

Reference 21

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arxiv_id, observed 2026-05-25T04:20:19.620901Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-25T04:17:36.487954Z digest=sha256:7616c350b72553aede1ce0cffb0482df7fc41c2419ff50e7b938118c9944ccc3

Observation e1d08491-2902-4bcf-bc0d-be9edbc51656 · inbound

OpenSkillEval: Automatically Auditing the Open Skill Ecosystem for LLM Agents cites this paper.

OpenSkillEval: Automatically Auditing the Open Skill Ecosystem for LLM Agents Measuring Style Similarity in Diffusion Models

Reference 22

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arxiv_id, observed 2026-06-30T16:14:53.070417Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T16:13:43.527362Z digest=sha256:663f8e25e578f7c35b12753f7d686da4da3fa064f40c2c95324ac170ac8d7baa

Observation c9cef476-94dc-46a3-abdf-bf00d6c54540 · inbound

Chameleon: Style-Content Disentangled Framework for Cross-Domain Object Compositing cites this paper.

Chameleon: Style-Content Disentangled Framework for Cross-Domain Object Compositing Measuring Style Similarity in Diffusion Models

Reference 46

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arxiv_id, observed 2026-06-28T18:02:27.381246Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-28T17:52:35.031504Z digest=sha256:ea3b5578191f552b137ae62c899ff407c3fa038355378d4ba62a05c66c4fc809

Observation 4f706b47-9721-4923-a840-1f440cf3307f · inbound

Style-CCL: Content-Preserving Style Transfer via Curriculum Continual Learning cites this paper.

Style-CCL: Content-Preserving Style Transfer via Curriculum Continual Learning Measuring Style Similarity in Diffusion Models

Reference 12

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arxiv_id, observed 2026-07-04T00:19:12.827516Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-04T00:12:14.850098Z digest=sha256:98c79eb8965a5336513ec01753339c50fb863f6e5714c12af325760f6b82d652

Observation 65ccf890-9abe-4b0c-91fa-1b18485bd1bf · inbound

FreeStyle: Free Control of Style-Content Dual-Reference Generation from Community LoRA Mining cites this paper.

FreeStyle: Free Control of Style-Content Dual-Reference Generation from Community LoRA Mining Measuring Style Similarity in Diffusion Models

Reference 51

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metadata mismatch
arxiv_id, observed 2026-07-04T03:29:31.026430Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-06-26T17:59:00.685869Z digest=sha256:585922810df45d1079cc0ec24ff263874fb1e7402df959175fdeffa63a49ad9f

Observation e9a59116-2264-4dca-b46c-5bcab4ae693a · inbound

EchoStyle: Unlocking High-Fidelity Video Stylization with Reverse Data Synthesis cites this paper.

EchoStyle: Unlocking High-Fidelity Video Stylization with Reverse Data Synthesis Measuring Style Similarity in Diffusion Models

Reference 31

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arxiv_id, observed 2026-07-04T19:50:10.489170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-25T21:00:00.682243Z digest=sha256:895542be545ff9feb36fff854054008259a85cec965da38a5b782e2ca451c453

Observation 820e7e11-5929-4f4a-a491-d219932a3c69 · inbound

Disco-LoRA: Disentangled Composition of Content, Style, and Motion for Multi-concept Video Customization cites this paper.

Disco-LoRA: Disentangled Composition of Content, Style, and Motion for Multi-concept Video Customization Measuring Style Similarity in Diffusion Models

Reference 52

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verified exact
arxiv_id, observed 2026-07-04T12:49:52.778807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-26T05:51:29.839498Z digest=sha256:92f2b12dd0247af9ecea91669ebc47a72f0c5ce4c1371177e9f31287982860ba

Observation e88f89d0-3c8e-497b-b785-5e5aa8281f55 · inbound

Scaling Multi-Reference Image Generation with Dynamic Reward Optimization cites this paper.

Scaling Multi-Reference Image Generation with Dynamic Reward Optimization Measuring Style Similarity in Diffusion Models

Reference 35

Resolution
verified exact
arxiv_id, observed 2026-07-04T13:39:50.249640Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-26T05:06:12.721122Z digest=sha256:de3337d7336d3067de3d73b549413eb5a7caa7878eb6c917197384e676a6a965

Observation bd60c9c3-e4ab-4a1b-9e64-03b60a15110a · inbound

Taxing Artificial Intelligence cites this paper.

Taxing Artificial Intelligence Measuring Style Similarity in Diffusion Models

Reference 202

Resolution
verified exact
arxiv_id, observed 2026-07-03T06:07:40.992323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-03T06:02:00.131685Z digest=sha256:b1887c4f96a0d11950867825b4f2b6f75e2d949e7b194ec5aa70b9d7a58a534b

Observation 75e4a61e-80ea-4ce5-8e2b-88c869e8b183 · inbound

Evaluating Intellectual Property Guardrails of Generative Image Models: A Technical Report cites this paper.

Evaluating Intellectual Property Guardrails of Generative Image Models: A Technical Report Measuring Style Similarity in Diffusion Models

Reference 22

Resolution
unresolved
no resolver link, observed 2026-07-12T09:37:15.997513Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T09:37:15.997513Z digest=sha256:230068fd4d239392f90bf04d4e28410afbbe59b65ac18767f24794cba1532438

Observation 19e5bd6e-bf03-48da-9fb0-411722176122 · inbound

FlowMimic: Mask-free Visual Editing and Generation with Pixel-pair Warped Flow Field for Online Video Editing Data Generation and Modality Mimicry cites this paper.

FlowMimic: Mask-free Visual Editing and Generation with Pixel-pair Warped Flow Field for Online Video Editing Data Generation and Modality Mimicry Measuring Style Similarity in Diffusion Models

Reference 88

Resolution
unresolved
no resolver link, observed 2026-08-01T15:42:04.526135Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T15:42:04.526135Z digest=sha256:ec0663ea3c34b67956417b5a716132e438b97b65dc3b1b122b5e2b32164627ac

Observation cec2ab62-d534-4edb-a16d-802eb779131d · inbound

StyleComposer: Training-Free Multi-Reference Style Composition cites this paper.

StyleComposer: Training-Free Multi-Reference Style Composition Measuring Style Similarity in Diffusion Models

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-08T18:11:15.407752Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T18:11:15.407752Z digest=sha256:b2c8a7cea44b879808cc0b626e437e84b50e9ffc05d65c17949b9b9dc1320e77