Paper Citation Record · LEDGER

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

As of 9 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 0 inbound Pith citation observations for arXiv:2507.04769.

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

pith.paper-citation-record.v1
2507.04769 v1

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:44:34.344542Z

measured 43 of 43 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

43 of 43 outbound references displayed

verified exact2
verified fuzzy26
unresolved15
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9260efb9-7c6f-4f83-98c8-dcff2c3249db · outbound

This paper cites GPT-4 Technical Report.

From Imitation to Innovation: The Emergence of AI Unique Artistic Styles and the Challenge of Copyright Protection GPT-4 Technical Report

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-06T19:44:31.012896Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0c62918c-fa22-4c2e-9ceb-4aa397bbe66f · outbound

This paper cites Taxonomy to Regulation: A (Geo)Political Taxonomy for AI Risks and Regulatory Measures in the EU AI Act.

From Imitation to Innovation: The Emergence of AI Unique Artistic Styles and the Challenge of Copyright Protection Taxonomy to Regulation: A (Geo)Political Taxonomy for AI Risks and Regulatory Measures in the EU AI Act

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-08-06T19:44:34.638806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 6f9668e1-ac51-4c63-a1c4-8f7b4be7ef05 · outbound

This paper cites an unresolved cited work.

From Imitation to Innovation: The Emergence of AI Unique Artistic Styles and the Challenge of Copyright Protection Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-08-06T19:44:37.904256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 91b1acae-f6c8-41ec-bfc4-57fc5137a706 · outbound

This paper cites Semantic-enhanced image clustering.

From Imitation to Innovation: The Emergence of AI Unique Artistic Styles and the Challenge of Copyright Protection Semantic-enhanced image clustering

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:44:37.778602Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation c4a9e4cf-96e9-4995-abf8-2db368b9b7d6 · outbound

This paper cites Deep adaptive image cluster- ing.

From Imitation to Innovation: The Emergence of AI Unique Artistic Styles and the Challenge of Copyright Protection Deep adaptive image cluster- ing

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:44:37.653223Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 24f9c6ed-162d-41be-a257-a6993d751de0 · outbound

This paper cites An empirical study of training self-supervised vision transformers.

From Imitation to Innovation: The Emergence of AI Unique Artistic Styles and the Challenge of Copyright Protection An empirical study of training self-supervised vision transformers

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:44:37.540299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation e72a39e6-5f61-40ba-a1e2-96e1d93682af · outbound

This paper cites Ft-shield: A watermark against unauthorized fine-tuning in text-to-image diffusion models.

From Imitation to Innovation: The Emergence of AI Unique Artistic Styles and the Challenge of Copyright Protection Ft-shield: A watermark against unauthorized fine-tuning in text-to-image diffusion models

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:44:37.417968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 19ef4780-36f0-40b3-918e-68d93dda5c68 · outbound

This paper cites Diffusion models beat gans on image synthesis.

From Imitation to Innovation: The Emergence of AI Unique Artistic Styles and the Challenge of Copyright Protection Diffusion models beat gans on image synthesis

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T19:44:31.495980Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7c8fdc66-7fb5-4031-811c-453ef0cf61f7 · outbound

This paper cites Scaling recti- fied flow transformers for high-resolution image synthesis.

From Imitation to Innovation: The Emergence of AI Unique Artistic Styles and the Challenge of Copyright Protection Scaling recti- fied flow transformers for high-resolution image synthesis

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T19:44:31.582166Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 85d0d002-422f-478c-8454-6c64bcca6608 · outbound

This paper cites Unified concept editing in diffusion models.

From Imitation to Innovation: The Emergence of AI Unique Artistic Styles and the Challenge of Copyright Protection Unified concept editing in diffusion models

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:44:37.318715Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 39c0f13a-9c32-4d9e-89c6-b4d7abf42a2d · outbound

This paper cites Goldstein on copyright.

From Imitation to Innovation: The Emergence of AI Unique Artistic Styles and the Challenge of Copyright Protection Goldstein on copyright

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:44:37.189325Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 86aa8857-4631-49c8-9034-d3dc91a52576 · outbound

This paper cites Vec- tor quantized diffusion model for text-to-image synthesis.

From Imitation to Innovation: The Emergence of AI Unique Artistic Styles and the Challenge of Copyright Protection Vec- tor quantized diffusion model for text-to-image synthesis

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T19:44:31.755092Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c514241c-fd7f-4922-b496-26ec96e743fd · outbound

This paper cites Copyright law of the people’s republic of china.promulgated by the Standing Comm.

From Imitation to Innovation: The Emergence of AI Unique Artistic Styles and the Challenge of Copyright Protection Copyright law of the people’s republic of china.promulgated by the Standing Comm

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:44:37.093268Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 05b115a2-9653-48c5-bac6-84624c421940 · outbound

This paper cites China’s regulations on the at- tribution of ai-generated content: an exploration based on the open-ended approach.

From Imitation to Innovation: The Emergence of AI Unique Artistic Styles and the Challenge of Copyright Protection China’s regulations on the at- tribution of ai-generated content: an exploration based on the open-ended approach

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:44:36.947540Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation ee21a397-c26d-4944-91e5-e96a12cde64f · outbound

This paper cites Denoising dif- fusion probabilistic models.

From Imitation to Innovation: The Emergence of AI Unique Artistic Styles and the Challenge of Copyright Protection Denoising dif- fusion probabilistic models

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T19:44:31.943731Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0f9fe709-2441-40cf-9941-fd1a7e13a52f · outbound

This paper cites Semantic to Structure: Learning Structural Representations for Infringement Detection.

From Imitation to Innovation: The Emergence of AI Unique Artistic Styles and the Challenge of Copyright Protection Semantic to Structure: Learning Structural Representations for Infringement Detection

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-08-06T19:44:34.520092Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 2b8cb176-df99-421d-b926-ae6a9e2f1d60 · outbound

This paper cites Event-based semantic segmentation with posterior attention.

From Imitation to Innovation: The Emergence of AI Unique Artistic Styles and the Challenge of Copyright Protection Event-based semantic segmentation with posterior attention

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:44:36.846729Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation fdd30ac6-0707-4aa2-9c4a-7f792aa858dd · outbound

This paper cites Secret lies in color: Enhancing ai-generated images detection with color distribution anal- ysis.

From Imitation to Innovation: The Emergence of AI Unique Artistic Styles and the Challenge of Copyright Protection Secret lies in color: Enhancing ai-generated images detection with color distribution anal- ysis

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:44:36.741072Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 38fbba3e-b31b-4511-9293-06f7dca6d27c · outbound

This paper cites Attribution problem of generative ai: a view from us copyright law.

From Imitation to Innovation: The Emergence of AI Unique Artistic Styles and the Challenge of Copyright Protection Attribution problem of generative ai: a view from us copyright law

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:44:36.601645Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 5575591e-7c2b-48a2-93d3-fb18fe144568 · outbound

This paper cites Ablating con- cepts in text-to-image diffusion models.

From Imitation to Innovation: The Emergence of AI Unique Artistic Styles and the Challenge of Copyright Protection Ablating con- cepts in text-to-image diffusion models

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:44:36.504335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 6d920c9e-39b5-4a5e-8d02-3aeb95c7068a · outbound

This paper cites Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models.

From Imitation to Innovation: The Emergence of AI Unique Artistic Styles and the Challenge of Copyright Protection Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:44:36.377385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation acb0d669-48ee-40bf-ad74-85a542d7f385 · outbound

This paper cites Decoupled Weight Decay Regularization.

From Imitation to Innovation: The Emergence of AI Unique Artistic Styles and the Challenge of Copyright Protection Decoupled Weight Decay Regularization

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T19:44:32.400300Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f57773db-8482-4a9c-a5a9-48839d2921c0 · outbound

This paper cites DeepSeek-VL: Towards Real-World Vision-Language Understanding.

From Imitation to Innovation: The Emergence of AI Unique Artistic Styles and the Challenge of Copyright Protection DeepSeek-VL: Towards Real-World Vision-Language Understanding

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T19:44:32.503622Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ef0a0839-67d8-4afa-acf9-d29171a9447e · outbound

This paper cites Rethinking copyright infringements in the era of text-to-image generative models.

From Imitation to Innovation: The Emergence of AI Unique Artistic Styles and the Challenge of Copyright Protection Rethinking copyright infringements in the era of text-to-image generative models

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:44:36.205152Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation c603f450-6897-45dd-9ed3-2d6dad13aa63 · outbound

This paper cites Text-to-concept (and back) via cross-model align- ment.

From Imitation to Innovation: The Emergence of AI Unique Artistic Styles and the Challenge of Copyright Protection Text-to-concept (and back) via cross-model align- ment

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:44:36.110881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 1885f7ce-2f03-4a6d-8026-890ba737f657 · outbound

This paper cites DINOv2: Learning Robust Visual Features without Supervision.

From Imitation to Innovation: The Emergence of AI Unique Artistic Styles and the Challenge of Copyright Protection DINOv2: Learning Robust Visual Features without Supervision

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-06T19:44:32.730894Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8841adb3-002f-477d-897d-da3ea70dd8f3 · outbound

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

From Imitation to Innovation: The Emergence of AI Unique Artistic Styles and the Challenge of Copyright Protection SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-06T19:44:32.834699Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 53cdf34c-c424-49a9-bb96-ec83f1cdb78c · outbound

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

From Imitation to Innovation: The Emergence of AI Unique Artistic Styles and the Challenge of Copyright Protection Learning transferable visual models from natural language supervi- sion

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:44:35.980216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation d1abd041-25e3-49db-b050-f01abab18ea3 · outbound

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

From Imitation to Innovation: The Emergence of AI Unique Artistic Styles and the Challenge of Copyright Protection Hierarchical Text-Conditional Image Generation with CLIP Latents

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-06T19:44:33.084565Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dd9b79ff-72ab-403d-a593-6fbf38238920 · outbound

This paper cites tencent dreamwriter.

From Imitation to Innovation: The Emergence of AI Unique Artistic Styles and the Challenge of Copyright Protection tencent dreamwriter

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:44:35.848220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 99255c89-5a96-4dbe-b351-721265a4dfdb · outbound

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

From Imitation to Innovation: The Emergence of AI Unique Artistic Styles and the Challenge of Copyright Protection Glaze: Protecting artists from style mimicry by {Text-to-Image} models

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:44:35.767535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 23aff69d-2383-4565-93dc-e23abae68fb8 · outbound

This paper cites Auctor ex machina: Artificial intelligence and authorship in zarya of the dawn.

From Imitation to Innovation: The Emergence of AI Unique Artistic Styles and the Challenge of Copyright Protection Auctor ex machina: Artificial intelligence and authorship in zarya of the dawn

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:44:35.636497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation fac000f5-3639-458d-b9e7-5c8b89968edb · outbound

This paper cites Diffusion art or digital forgery? investigating data replication in diffusion models.

From Imitation to Innovation: The Emergence of AI Unique Artistic Styles and the Challenge of Copyright Protection Diffusion art or digital forgery? investigating data replication in diffusion models

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:44:35.543987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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

This paper cites Measuring Style Similarity in Diffusion Models.

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

Resolution: unresolved; no resolver link, observed 2026-08-06T19:44:33.734597Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5e7e8e0e-c345-4a91-a949-4abcd92464cd · outbound

This paper cites Preference rank- ing optimization for human alignment.

From Imitation to Innovation: The Emergence of AI Unique Artistic Styles and the Challenge of Copyright Protection Preference rank- ing optimization for human alignment

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:44:35.403970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 02677b8e-5db7-411b-8b8a-def5c0c8de81 · outbound

This paper cites Improved artgan for conditional synthesis of natural image and artwork.

From Imitation to Innovation: The Emergence of AI Unique Artistic Styles and the Challenge of Copyright Protection Improved artgan for conditional synthesis of natural image and artwork

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:44:35.266683Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation bf2ef8c5-e658-4cb5-a742-adaae32befe1 · outbound

This paper cites Scan: Learning to classify images without labels.

From Imitation to Innovation: The Emergence of AI Unique Artistic Styles and the Challenge of Copyright Protection Scan: Learning to classify images without labels

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:44:35.130236Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 42197d67-b6f6-4bf4-a091-6fbca4aa3ae6 · outbound

This paper cites Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution.

From Imitation to Innovation: The Emergence of AI Unique Artistic Styles and the Challenge of Copyright Protection Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-06T19:44:34.081015Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a9085dc4-40c6-4281-b7f1-89f0f1599292 · outbound

This paper cites DIAGNOSIS: Detecting Unauthorized Data Usages in Text-to-image Diffusion Models.

From Imitation to Innovation: The Emergence of AI Unique Artistic Styles and the Challenge of Copyright Protection DIAGNOSIS: Detecting Unauthorized Data Usages in Text-to-image Diffusion Models

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-06T19:44:34.126275Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 061a1437-c565-43d0-b24b-5028c6a7c2fa · outbound

This paper cites On the copyright analysis of artificial intelli- gence products.

From Imitation to Innovation: The Emergence of AI Unique Artistic Styles and the Challenge of Copyright Protection On the copyright analysis of artificial intelli- gence products

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:44:35.017503Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation bc808e47-be71-488d-b4fc-68938bfa0d76 · outbound

This paper cites Unsupervised deep embedding for clustering analysis.

From Imitation to Innovation: The Emergence of AI Unique Artistic Styles and the Challenge of Copyright Protection Unsupervised deep embedding for clustering analysis

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:44:34.872221Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 3508bd3c-f601-43f9-836e-4e6abd2fdfca · outbound

This paper cites Toward effective protection against diffusion-based mimicry through score distillation.

From Imitation to Innovation: The Emergence of AI Unique Artistic Styles and the Challenge of Copyright Protection Toward effective protection against diffusion-based mimicry through score distillation

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:44:34.798706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation cc856155-99de-4017-bf19-41ef593e6259 · outbound

This paper cites an unresolved cited work.

From Imitation to Innovation: The Emergence of AI Unique Artistic Styles and the Challenge of Copyright Protection Unresolved cited work

Reference 43

Resolution: unresolved; raw_fallback, observed 2026-08-06T19:44:34.728982Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Pith citing papers

No inbound Pith citation observations are available.