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Paper Citation Record · LEDGER

Evaluating Intellectual Property Guardrails of Generative Image Models: A Technical Report

As of 9 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 0 inbound Pith citation observations for arXiv:2607.02582.

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

pith.paper-citation-record.v1
2607.02582 v1

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-12T09:37:15.997513Z

measured 35 of 35 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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Reference resolution

35 of 35 outbound references displayed

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  • unresolved34
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Outbound references

Observation 9e0bfebe-654f-4133-a362-459b8c49416b · outbound

This paper cites an unresolved cited work.

Evaluating Intellectual Property Guardrails of Generative Image Models: A Technical Report Unresolved cited work

Reference 1

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Observation f2840c06-3f2d-414e-89eb-9d9af9d07b28 · outbound

This paper cites Getty images and others v stability ai.

Evaluating Intellectual Property Guardrails of Generative Image Models: A Technical Report Getty images and others v stability ai

Reference 2

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Observation 73891b6a-a289-4e81-9407-701aa0ace025 · outbound

This paper cites IL-2023-000007, High Court of Justice, Business and Property Courts of England and Wales, Chancery Division.

Evaluating Intellectual Property Guardrails of Generative Image Models: A Technical Report IL-2023-000007, High Court of Justice, Business and Property Courts of England and Wales, Chancery Division

Reference 3

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Observation 7942cfd0-3088-4b27-bd32-e026df4f6359 · outbound

This paper cites The new york times company v.

Evaluating Intellectual Property Guardrails of Generative Image Models: A Technical Report The new york times company v

Reference 4

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Observation dae814b4-916f-4862-bc1f-b880722f3152 · outbound

This paper cites and others.

Evaluating Intellectual Property Guardrails of Generative Image Models: A Technical Report and others

Reference 5

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Observation b3fff8d8-134c-4d9b-bf07-6eed9423f1f7 · outbound

This paper cites Disney cease-and-desist to bytedance over seedance 2.0.https: //www.aol.com/articles/lawsuits-billion-dollar-deals-disney-183659024.

Evaluating Intellectual Property Guardrails of Generative Image Models: A Technical Report Disney cease-and-desist to bytedance over seedance 2.0.https: //www.aol.com/articles/lawsuits-billion-dollar-deals-disney-183659024

Reference 6

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Observation dc836546-3a91-4df3-813b-2d16ec4abeca · outbound

This paper cites code ann.

Evaluating Intellectual Property Guardrails of Generative Image Models: A Technical Report code ann

Reference 7

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Observation a8334adf-4edf-48be-a785-e830775cee74 · outbound

This paper cites Extracting training data from diffusion models.

Evaluating Intellectual Property Guardrails of Generative Image Models: A Technical Report Extracting training data from diffusion models

Reference 8

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Observation 1b402ee7-1459-4b98-baca-1a83d8f116f4 · outbound

This paper cites Detecting, explaining, and mitigat- ing memorization in diffusion models.The Twelfth International Conference on Learning Representations, 2024.

Evaluating Intellectual Property Guardrails of Generative Image Models: A Technical Report Detecting, explaining, and mitigat- ing memorization in diffusion models.The Twelfth International Conference on Learning Representations, 2024

Reference 9

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source=pdf_text observed=2026-07-12T09:37:15.997513Z digest=sha256:b6d7ff97ca4d0e2ea4984f3421c91c2f0c10e1d0b29f96bff4317b4839d85ef8

Observation 664a9a2d-ce06-4273-b4e1-9454053f5f4f · outbound

This paper cites PromptShield: A hybrid framework for copyright-safe text-to-image generation.

Evaluating Intellectual Property Guardrails of Generative Image Models: A Technical Report PromptShield: A hybrid framework for copyright-safe text-to-image generation

Reference 10

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Observation c0707ae1-a7c2-4058-8681-71fb961c3d52 · outbound

This paper cites How to evaluate and mitigate IP infringement in visual generative AI? InForty-second International Conference on Machine Learning, 2025.

Evaluating Intellectual Property Guardrails of Generative Image Models: A Technical Report How to evaluate and mitigate IP infringement in visual generative AI? InForty-second International Conference on Machine Learning, 2025

Reference 11

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Observation 174a6343-0a5b-45d7-ba2a-ddded63ddb9d · outbound

This paper cites Fantastic copyrighted beasts and how (not) to generate them.

Evaluating Intellectual Property Guardrails of Generative Image Models: A Technical Report Fantastic copyrighted beasts and how (not) to generate them

Reference 12

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Observation 188b62f7-be17-448b-b4df-3d37f88b8683 · outbound

This paper cites Responsible ai and usage guidelines for imagen.

Evaluating Intellectual Property Guardrails of Generative Image Models: A Technical Report Responsible ai and usage guidelines for imagen

Reference 13

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Observation 37278f27-1490-4f5f-b193-536a91b7b5aa · outbound

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Evaluating Intellectual Property Guardrails of Generative Image Models: A Technical Report Unresolved cited work

Reference 14

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Observation 0ab53a51-cae2-4447-9a18-6cf60138c0c6 · outbound

This paper cites Dall·e 3 system card.

Evaluating Intellectual Property Guardrails of Generative Image Models: A Technical Report Dall·e 3 system card

Reference 15

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Observation f36fee99-7700-470d-985f-6ee8b279bef6 · outbound

This paper cites Huggingface: Building the ai community that builds ai.

Evaluating Intellectual Property Guardrails of Generative Image Models: A Technical Report Huggingface: Building the ai community that builds ai

Reference 16

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Observation 4a233a5b-6747-477e-bc76-e71fb096b909 · outbound

This paper cites Diffu- sion art or digital forgery? investigating data replication in diffusion models.

Evaluating Intellectual Property Guardrails of Generative Image Models: A Technical Report Diffu- sion art or digital forgery? investigating data replication in diffusion models

Reference 17

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Observation b4211f0d-2159-4da2-837f-294e9363b48e · outbound

This paper cites Red-Teaming the Stable Diffusion Safety Filter.

Evaluating Intellectual Property Guardrails of Generative Image Models: A Technical Report Red-Teaming the Stable Diffusion Safety Filter

Reference 18

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Observation a6c86ca0-0761-470e-8f9e-aba4a8c13be5 · outbound

This paper cites Can Large Vision-Language Models Detect Images Copyright Infringement from GenAI?.

Evaluating Intellectual Property Guardrails of Generative Image Models: A Technical Report Can Large Vision-Language Models Detect Images Copyright Infringement from GenAI?

Reference 19

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Observation d816655f-6153-4274-a26f-8740a8d2fcde · outbound

This paper cites T2i-riskyprompt: A benchmark for safety evaluation, attack, and defense on text-to-image model.The Fortieth AAAI Conference on Artificial Intelligence (AAAI-26), 2026.

Evaluating Intellectual Property Guardrails of Generative Image Models: A Technical Report T2i-riskyprompt: A benchmark for safety evaluation, attack, and defense on text-to-image model.The Fortieth AAAI Conference on Artificial Intelligence (AAAI-26), 2026

Reference 20

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Observation 1f982230-5274-4cd5-97cb-a0462f4523bb · outbound

This paper cites On Copyright Risks of Text-to-Image Diffusion Models.

Evaluating Intellectual Property Guardrails of Generative Image Models: A Technical Report On Copyright Risks of Text-to-Image Diffusion Models

Reference 21

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

This paper cites Measuring Style Similarity in Diffusion Models.

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

Reference 22

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Observation efa0d308-9664-44a1-85b6-7276942bddd9 · outbound

This paper cites The Llama 3 Herd of Models.

Evaluating Intellectual Property Guardrails of Generative Image Models: A Technical Report The Llama 3 Herd of Models

Reference 23

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Observation 8dfeeabb-475d-446a-b548-14526a742cf6 · outbound

This paper cites Mixtral of Experts.

Evaluating Intellectual Property Guardrails of Generative Image Models: A Technical Report Mixtral of Experts

Reference 24

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Observation 4040aff8-96e2-4d02-b505-401becf06644 · outbound

This paper cites DeepSeek-R1 incentivizes reasoning in LLMs through reinforce- ment learning.Nature, 645(8081):633–638, sep 2025.

Evaluating Intellectual Property Guardrails of Generative Image Models: A Technical Report DeepSeek-R1 incentivizes reasoning in LLMs through reinforce- ment learning.Nature, 645(8081):633–638, sep 2025

Reference 25

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Observation c09ee30c-eff9-4086-bd35-2c84e2ef8b70 · outbound

This paper cites Gemma 3 technical report, 2025.

Evaluating Intellectual Property Guardrails of Generative Image Models: A Technical Report Gemma 3 technical report, 2025

Reference 26

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Observation c9cbeef9-ebf7-4812-914d-ecfab3bb69bf · outbound

This paper cites Learning transferable visual models from natural language supervision.

Evaluating Intellectual Property Guardrails of Generative Image Models: A Technical Report Learning transferable visual models from natural language supervision

Reference 27

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source=pdf_text observed=2026-07-12T09:37:15.997513Z digest=sha256:d5fba080c278cecf7a17a02592d0d1e115f38ed0021ce332dfba609c2216b9b9

Observation 362048b4-bb79-40f9-889d-9c1d6ba1b563 · outbound

This paper cites Qwen3-VL Technical Report.

Evaluating Intellectual Property Guardrails of Generative Image Models: A Technical Report Qwen3-VL Technical Report

Reference 28

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source=pdf_text observed=2026-07-12T09:37:15.997513Z digest=sha256:69a43b7878e9ef6f490ffcae4a433530c7bccdb553b95816dbdd08006ab12e3d

Observation c530bab6-98dc-4b24-b6ca-968516634b26 · outbound

This paper cites High-resolution image synthesis with latent diffusion models.Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022.

Evaluating Intellectual Property Guardrails of Generative Image Models: A Technical Report High-resolution image synthesis with latent diffusion models.Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022

Reference 29

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Observation ebe1714f-c54a-43e0-950a-e5065d0690ca · outbound

This paper cites Stable diffusion 3 medium.

Evaluating Intellectual Property Guardrails of Generative Image Models: A Technical Report Stable diffusion 3 medium

Reference 30

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source=pdf_text observed=2026-07-12T09:37:15.997513Z digest=sha256:ac16862e16bf99e08c11c184401210211cfd2010d867a951c97c0b0d3468d005

Observation 11de6e57-a3de-4df3-8b15-a4f60c17d788 · outbound

This paper cites Qwen2.5-VL Technical Report.

Evaluating Intellectual Property Guardrails of Generative Image Models: A Technical Report Qwen2.5-VL Technical Report

Reference 31

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source=pdf_text observed=2026-07-12T09:37:15.997513Z digest=sha256:e1ce6ec6ee0947cad57c028072fc3a28e312b81c91faef6fd2ec1b540f9dd799

Observation acda6ef5-72fc-4e18-9c6c-25551fd482c0 · outbound

This paper cites InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models.

Evaluating Intellectual Property Guardrails of Generative Image Models: A Technical Report InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models

Reference 32

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Observation 0aeaa80c-4884-4e11-b317-3b551a3a38a8 · outbound

This paper cites Flux.1-dev.

Evaluating Intellectual Property Guardrails of Generative Image Models: A Technical Report Flux.1-dev

Reference 33

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Observation 9e934210-2edf-417c-a743-eb3508b62956 · outbound

This paper cites Pixart-sigma-xl-2.

Evaluating Intellectual Property Guardrails of Generative Image Models: A Technical Report Pixart-sigma-xl-2

Reference 34

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Observation d165cc3d-869f-456d-8be0-754bc06742c7 · outbound

This paper cites out of frame, 24 low quality, bad anatomy, watermark.

Evaluating Intellectual Property Guardrails of Generative Image Models: A Technical Report out of frame, 24 low quality, bad anatomy, watermark

Reference 35

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