Pith. sign in

Paper Citation Record · LEDGER

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

As of 8 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

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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

35 of 35 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved34
  • parse uncertain1
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

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

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:c37008ff036ff92b7a23f6a85f51b0dec6047efced73adda0624caf75d507d95

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

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:e67f1ca014a9de982f9a35f1ff9f887614fb6a15d6e98091691857d74ceebf0a

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

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=sha256:142e17b84894dea172095f1130eea8843bd2ed57d82b5b26e5fa871228b9153e

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

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=sha256:43e98a4aac99cf908434a3ca36d29c05a78dfbaa1753d3363219c231c3c6de15

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

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:cb96bd6216b0c8bb8deac425a31aa131e2b66be349702d1924d9cbd87c7bdcea

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

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=sha256:624e2c1d96b100041fd38074847a445549ae2e3be73882445f219aff29ae9dea

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

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:f1446e2c80b5c35e3cd59a2c2aa2a6f78c47762aa5fecfd3d6ce39e9a32bd922

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

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=sha256:1caacf6624aa26f81a99e878ff5caef9ee54ade3753c9bfad4714ddb4290393c

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

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=sha256:5b3e80b62c404f7e957a68549d36fe38bbbeec2e1d0684b44b6d6b6fc54cfa88

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

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=sha256:9410d24e9abcc1b235ecfe573fc13c9d8c77ad354dd494892686299c4480b694

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

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:ef30ba454d509aefdfcd1aab413449b9beea64814208ded68779201bc45ba3e2

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

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=sha256:8858152f131a6ce0f841a0b04154182ea28447201822684d43bc433ae8aed542

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

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=sha256:0708e3fb0190beb88cd430acd438d587173a7836c26ec27fab0f06cb86c76f45

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

This paper cites an unresolved cited work.

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

Reference 14

Resolution
parse uncertain
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:e3811f72e8fd962279ee378a85964b1102a73f9bb7f367b2005e7747735a9b61

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

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=sha256:1b8fa4f7622435424ec81f50c31524ac623c3263f0a0994087ba04f013ae81bc

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

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=sha256:6e987d11491b585557c52366f57e083553096576a2d9b8593a69f12b4637292f

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

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=sha256:863f01dda1382c74bdf96a1b0b52b788c9d1ca26729acafebdb08d5113ce0c0a

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

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=sha256:6cd092803df11702df21a4a148340e1d30929be90e6c5a8093907fa6bad0adef

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

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=sha256:0f6d3fd4a79146d94bd5c34b97421df23ee196c8408db535f372d0ce1934e569

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

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:ae23531c8beaed94a025a6728260f9de862cabfe81a83ef2c5d51b2c2446fb7d

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

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:c73795bcb3e872917457b935ba21b73bc61b42956f8d57405b8c4fc0daef13d5

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

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=sha256:6e6ca177355278856d9a4b4edfc492601b169d299360a0b6aa4f75a442bd3541

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

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=sha256:95f42c9800b3f44925bbb66c2ae233ab0051e206391d501f0b1ec50f6616300c

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

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:b17f59aa1c3980f700c6a76f5433f896a02d78ee45d287736781c82f260198fb

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

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=sha256:7631c6d788b7c3b0485279964427b7ee20db8885f8a6b05a4b29197d1004546d

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

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:b35203f607057810875c0b448bcf1c1790dbff1405e743e550e58c7c82a0724d

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

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:d386b2329151b5b9021e589cab950f524ce27eff46c19d3f816446e2a18d343c

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

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=sha256:218a32fe91443e3be575f797b8788159a949446a504e8c5498fc4277f8161a90

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

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=sha256:91cd455c4ea6ec1fa2522e8686a9d31661c466a9e7e0b2505d84c8d2b3cdf526

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

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=sha256:6d3c6d5c166afbaf9cf36c1e273ac5f9d12bcba3a7c1ee8ca1f267cfbbe47abb

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

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=sha256:9ca761fa27cf69e8613149fa074f91eb782240c61768dfed2de992572f9792aa

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

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=sha256:3a26a4654cbd72ddb7d633ff8e8b7c91d6b8f7c7bac551f895fc8cf9780e9d4f

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

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=sha256:720c530817512979777d0fd6612a7fc1f2628d45360b13ed898bf8b42ebf3267

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

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:a5bb6bf3e9e75a99dea10b98d0c8d6cd0e7eaea10cf1d447ffac7120ff778af0

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

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=sha256:63757df6531c831e7b7f9c14e6e22f6cdd5a7f1f59444f6466d304efb95f60f9

Pith citing papers

No inbound Pith citation observations are available.