Pith. sign in

Paper Citation Record · LEDGER

Red-Teaming Text-to-Image Systems by Rule-based Preference Modeling

As of 8 August 2026, this Paper Citation Record lists 69 of 69 outbound references and 1 inbound Pith citation observation for arXiv:2505.21074.

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

pith.paper-citation-record.v1
2505.21074 v1

Coverage vector

measured 69 of 69 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:46:22.123029Z

measured 70 of 70 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T17:07:54.406120Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

69 of 69 outbound references displayed

  • verified exact2
  • verified fuzzy39
  • unresolved25
  • parse uncertain2
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7213e407-a76a-4499-98d8-1eff255774e3 · outbound

This paper cites Celebrity classifier, 2024.

Red-Teaming Text-to-Image Systems by Rule-based Preference Modeling Celebrity classifier, 2024

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:46:31.309743Z

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.

source=pdf_text observed=2026-08-07T13:46:17.287994Z digest=sha256:df8bb3e6ac87d05a04e79b397fdd6cf40836cea0d1661c3c5ae3a8e93bda1b22

Observation 52b76d30-af06-4380-ab6c-0093d1036098 · outbound

This paper cites Surrogateprompt: Bypassing the safety filter of text-to-image models via substitution.

Red-Teaming Text-to-Image Systems by Rule-based Preference Modeling Surrogateprompt: Bypassing the safety filter of text-to-image models via substitution

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:46:31.130812Z

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.

source=pdf_text observed=2026-08-07T13:46:17.362359Z digest=sha256:48340511de95a11260e6894979d96cc1b10e1dc2d90e431244834d1591bd2d60

Observation bcc243bd-3f42-4d95-a364-1966322f6252 · outbound

This paper cites Rank analysis of incomplete block designs: I.

Red-Teaming Text-to-Image Systems by Rule-based Preference Modeling Rank analysis of incomplete block designs: I

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-07T13:46:17.480819Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:46:17.480819Z digest=sha256:0115a3bdb807c56e7ac5e05fb8919725f2fcb95369f85c46432fa7365865d67f

Observation 60ddc307-4acc-4a61-979d-5aec513355aa · outbound

This paper cites Towards evaluating the robustness of neural networks.

Red-Teaming Text-to-Image Systems by Rule-based Preference Modeling Towards evaluating the robustness of neural networks

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:46:30.954023Z

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.

source=pdf_text observed=2026-08-07T13:46:17.629073Z digest=sha256:e22c156e78910b838f134bac100250df7198a380cf6e514091743cd7e43b02e9

Observation d8a54403-6929-4971-924e-d969aef0812a · outbound

This paper cites Efficient black-box adversarial attacks via bayesian optimization guided by a function prior.

Red-Teaming Text-to-Image Systems by Rule-based Preference Modeling Efficient black-box adversarial attacks via bayesian optimization guided by a function prior

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:46:30.731532Z

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.

source=pdf_text observed=2026-08-07T13:46:17.704629Z digest=sha256:849449a035120f142bc530040b0b59a8b28bdfcc51147b6d544376eac2f0c522

Observation f4b6bd00-7fad-41a3-9d6a-df6070c773fb · outbound

This paper cites Nsfw classifier, 2020.

Red-Teaming Text-to-Image Systems by Rule-based Preference Modeling Nsfw classifier, 2020

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:46:30.541079Z

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.

source=pdf_text observed=2026-08-07T13:46:17.779619Z digest=sha256:e55ba59331c591f868640670f2f1e1774fe44d9069280eb362c3b6bd8bac768f

Observation 2607205e-a345-4de2-aa19-8657327b69d4 · outbound

This paper cites Vicuna: An open-source chatbot impressing gpt-4 with 90%* chatgpt quality.See https://vicuna.

Red-Teaming Text-to-Image Systems by Rule-based Preference Modeling Vicuna: An open-source chatbot impressing gpt-4 with 90%* chatgpt quality.See https://vicuna

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-07T13:46:17.851622Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:46:17.851622Z digest=sha256:1adf9cbeaab909a8415cbe9ce23cf225a727dd52fd5807deb6aea11193c12fe6

Observation 302a729b-f1e9-4599-b678-568309be19f4 · outbound

This paper cites Prompt- ing4debugging: Red-teaming text-to-image diffusion models by finding problematic prompts.

Red-Teaming Text-to-Image Systems by Rule-based Preference Modeling Prompt- ing4debugging: Red-teaming text-to-image diffusion models by finding problematic prompts

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:46:30.350547Z

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.

source=pdf_text observed=2026-08-07T13:46:17.933859Z digest=sha256:46ec8c57dc2dbb41f9bd3bdf07078026d591421b105f8bfd9615844012f5e868

Observation 09c609b7-e181-448e-bb7a-fe6c85f3a22c · outbound

This paper cites Ai, governance and ethics: Global perspectives.Deakin University, 2022.

Red-Teaming Text-to-Image Systems by Rule-based Preference Modeling Ai, governance and ethics: Global perspectives.Deakin University, 2022

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:46:30.195262Z

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.

source=pdf_text observed=2026-08-07T13:46:18.013363Z digest=sha256:2fd2b44b4486d9ec02a1f2ae310679c5bc892c9d9b1af29bfdd2a627d1f23a46

Observation bd1da015-bdc2-4b01-b211-9c0d292871b5 · outbound

This paper cites DiffZOO: A purely query-based black-box attack for red-teaming text-to-image generative model via zeroth order optimization.

Red-Teaming Text-to-Image Systems by Rule-based Preference Modeling DiffZOO: A purely query-based black-box attack for red-teaming text-to-image generative model via zeroth order optimization

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:46:30.011805Z

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.

source=pdf_text observed=2026-08-07T13:46:18.123454Z digest=sha256:1ad4e3ae11b79df4efa63750fe2f9f979f79a777027747c62c7939ea29093404

Observation e67544bf-ce66-444a-bb28-aef262b2cd78 · outbound

This paper cites Harnessing LLM to Attack LLM-Guarded Text-to-Image Models.

Red-Teaming Text-to-Image Systems by Rule-based Preference Modeling Harnessing LLM to Attack LLM-Guarded Text-to-Image Models

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-07T13:46:18.229670Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:46:18.229670Z digest=sha256:ce97a0bebd9f4b228c3fd07224420693d51b076f3031941c6c1ea1c588ef2c02

Observation e7ffd36d-b273-4386-b1f0-8e5745dab2f0 · outbound

This paper cites Diffusion models beat gans on image synthesis.

Red-Teaming Text-to-Image Systems by Rule-based Preference Modeling Diffusion models beat gans on image synthesis

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:46:29.815910Z

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.

source=pdf_text observed=2026-08-07T13:46:18.350445Z digest=sha256:10e29b1a435380986974fadb9fb90455434e8b1f03d6e879da6af63c45f60316

Observation 477227f5-33d7-44e2-ab34-fed481a1730b · outbound

This paper cites Fuzz-testing meets llm-based agents: An automated and efficient framework for jailbreaking text-to-image generation models.

Red-Teaming Text-to-Image Systems by Rule-based Preference Modeling Fuzz-testing meets llm-based agents: An automated and efficient framework for jailbreaking text-to-image generation models

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:46:29.646645Z

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.

source=pdf_text observed=2026-08-07T13:46:18.428990Z digest=sha256:0b143c9d9acb231256c8a412f0f5714cf738f9862723e446949a3584abbe0f27

Observation fbcc5485-8414-4efd-9802-e7b7a685f6fe · outbound

This paper cites Boosting adversarial attacks with momentum.

Red-Teaming Text-to-Image Systems by Rule-based Preference Modeling Boosting adversarial attacks with momentum

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:46:29.475005Z

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.

source=pdf_text observed=2026-08-07T13:46:18.560756Z digest=sha256:710a59425e22158262fe98d725e37a91a70d64ebe61ec91cc7606fc1eb6525d3

Observation 4f7466b9-fadd-4353-bd4f-fec8b7f93bc9 · outbound

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

Red-Teaming Text-to-Image Systems by Rule-based Preference Modeling Scaling rectified flow transformers for high-resolution image synthesis

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-07T13:46:18.643073Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:46:18.643073Z digest=sha256:a8481d79c63a6b6e5ff029d6bf58ccaf128c5e6fa577f74111854b4bada500bd

Observation 50b48699-5fc3-4594-b4b8-2746fffee5bd · outbound

This paper cites Erasing concepts from diffusion models.

Red-Teaming Text-to-Image Systems by Rule-based Preference Modeling Erasing concepts from diffusion models

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:46:29.331992Z

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.

source=pdf_text observed=2026-08-07T13:46:18.750909Z digest=sha256:4712de2f45b0a338a1117bc9a5ad133527f3fa6089fe4d9055c594d1d2374e77

Observation d26723c8-9118-4275-900c-63bbd3b3025c · outbound

This paper cites HTS-Attack: Heuristic Token Search for Jailbreaking Text-to-Image Models.

Red-Teaming Text-to-Image Systems by Rule-based Preference Modeling HTS-Attack: Heuristic Token Search for Jailbreaking Text-to-Image Models

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-07T13:46:18.819612Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:46:18.819612Z digest=sha256:6ccd9defa71e4fff7be88e65721f6daac9f9989deac0f33fe0b5230bad26acbd

Observation 4a49ab0d-39c9-47a6-8212-c417de26dce8 · outbound

This paper cites Nsfw words list, 2020.

Red-Teaming Text-to-Image Systems by Rule-based Preference Modeling Nsfw words list, 2020

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:46:29.140756Z

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.

source=pdf_text observed=2026-08-07T13:46:18.848754Z digest=sha256:a28f59a2ef45c7bd86735de44236024decf573233fdc792a81a10d08bb4c4c80

Observation 240eb587-21fe-4047-8a0d-aaf97b6f29df · outbound

This paper cites Lora: Low-rank adaptation of large language models.

Red-Teaming Text-to-Image Systems by Rule-based Preference Modeling Lora: Low-rank adaptation of large language models

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-07T13:46:18.920350Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:46:18.920350Z digest=sha256:c1736c63b5c31728ffa1b2ed14ee6fb515b98b7d5460a375de441728dd69b5e0

Observation 0bb62a34-8a82-465c-a8cf-cbb6bfd04362 · outbound

This paper cites SafeText: Safe Text-to-image Models via Aligning the Text Encoder.

Red-Teaming Text-to-Image Systems by Rule-based Preference Modeling SafeText: Safe Text-to-image Models via Aligning the Text Encoder

Reference 20

Resolution
verified exact
local_arxiv, observed 2026-08-07T13:46:22.914668Z

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.

source=pdf_text observed=2026-08-07T13:46:18.998171Z digest=sha256:9b2e7084fa5e606064c9bd327704f2e22c334c784ac0389e8b80386766ed3d6d

Observation 5e76d815-3402-4269-a9ae-51d7d23df193 · outbound

This paper cites Perception-guided jailbreak against text-to-image models.

Red-Teaming Text-to-Image Systems by Rule-based Preference Modeling Perception-guided jailbreak against text-to-image models

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-07T13:46:19.087710Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:46:19.087710Z digest=sha256:20337126b6c63915c13106513835408a2144732bf633396ee0c453c366d786b6

Observation 2a65f958-fe1f-4e54-95f9-0879c7fab595 · outbound

This paper cites Safety Alignment Backfires: Preventing the Re-emergence of Suppressed Concepts in Fine-tuned Text-to-Image Diffusion Models.

Red-Teaming Text-to-Image Systems by Rule-based Preference Modeling Safety Alignment Backfires: Preventing the Re-emergence of Suppressed Concepts in Fine-tuned Text-to-Image Diffusion Models

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-07T13:46:19.142147Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:46:19.142147Z digest=sha256:84dffce040ccc819d921b3a301bcfc96e5460793fa35e40b11e4adb03a569f29

Observation c4401f9c-69e9-4f5b-806f-e65aa1952635 · outbound

This paper cites Adam: A method for stochastic optimization.

Red-Teaming Text-to-Image Systems by Rule-based Preference Modeling Adam: A method for stochastic optimization

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:46:28.807742Z

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.

source=pdf_text observed=2026-08-07T13:46:19.190173Z digest=sha256:682131af2d72235e0cf0af055b0d3eeff10d58a251252f7e2b6a4e85cd737062

Observation 2a8feb87-0ce8-47a5-8314-3684fe06096d · outbound

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

Red-Teaming Text-to-Image Systems by Rule-based Preference Modeling Ablating concepts in text-to-image diffusion models

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-07T13:46:19.268964Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:46:19.268964Z digest=sha256:f657e4e2c907139995231f921249c785661176356909746fb52892e578646cab

Observation 0506285b-9277-46b0-bd7a-e24fe4bd2c9c · outbound

This paper cites Clip-based nsfw detector, 2023.

Red-Teaming Text-to-Image Systems by Rule-based Preference Modeling Clip-based nsfw detector, 2023

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:46:28.555116Z

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.

source=pdf_text observed=2026-08-07T13:46:19.381033Z digest=sha256:90d303b04ca19e8a4dcce6a8d2f09412d5cc167719802f66bc6be597fd3a2517

Observation e0f17040-82a2-4d07-bf21-dabba4925994 · outbound

This paper cites Leonardo.ai, 2022.

Red-Teaming Text-to-Image Systems by Rule-based Preference Modeling Leonardo.ai, 2022

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:46:28.287919Z

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.

source=pdf_text observed=2026-08-07T13:46:19.441404Z digest=sha256:04fd65ae9bf0d243a4a3005b3e0557d454d68dd3a9297c4c7d6e86c8a418d85a

Observation c241e591-9701-4438-9c98-d322404545c0 · outbound

This paper cites ART: Automatic red-teaming for text-to-image models to protect benign users.

Red-Teaming Text-to-Image Systems by Rule-based Preference Modeling ART: Automatic red-teaming for text-to-image models to protect benign users

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:46:28.064581Z

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.

source=pdf_text observed=2026-08-07T13:46:19.499576Z digest=sha256:80fc3cf6ae27d91a715a40aa267e32349e293ff2675531a8507ac7d7983311bb

Observation a55cf6fc-1b2c-45aa-82ed-46267a11149d · outbound

This paper cites Nsfw text classifier, 2022.

Red-Teaming Text-to-Image Systems by Rule-based Preference Modeling Nsfw text classifier, 2022

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:46:27.833579Z

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.

source=pdf_text observed=2026-08-07T13:46:19.584357Z digest=sha256:7e80586016bc69fdf1523f4757f08e35ed5a7b336e618753470ac22ed8e14c23

Observation 0b2ac8c0-6674-4d39-b19a-fb3a38f93b8b · outbound

This paper cites Safegen: Mitigating sexually explicit content generation in text-to-image models.

Red-Teaming Text-to-Image Systems by Rule-based Preference Modeling Safegen: Mitigating sexually explicit content generation in text-to-image models

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:46:27.602149Z

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.

source=pdf_text observed=2026-08-07T13:46:19.700940Z digest=sha256:11ee208366d949a13fbda684aa8e37dd1532f26a6e2dff7fe67c57c4110d1a02

Observation cc93bfd3-a209-4e05-aaa3-9125c7d85765 · outbound

This paper cites Token-level constraint boundary search for jailbreaking text-to-image models.arXiv preprint arXiv:2504.11106, 2025.

Red-Teaming Text-to-Image Systems by Rule-based Preference Modeling Token-level constraint boundary search for jailbreaking text-to-image models.arXiv preprint arXiv:2504.11106, 2025

Reference 30

Resolution
verified exact
raw_fallback, observed 2026-08-07T13:46:22.760888Z

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.

source=pdf_text observed=2026-08-07T13:46:19.764143Z digest=sha256:459038519d5179aeaf5401cff0c98f93324ba19a6c1af663ca5b80d4ed347cfa

Observation a96a5cb0-198f-49a8-b559-c889ee5ccfc7 · outbound

This paper cites T2V-OptJail: Discrete Prompt Optimization for Text-to-Video Jailbreak Attacks.

Red-Teaming Text-to-Image Systems by Rule-based Preference Modeling T2V-OptJail: Discrete Prompt Optimization for Text-to-Video Jailbreak Attacks

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-07T13:46:19.818242Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:46:19.818242Z digest=sha256:2b3194befb5d30df78f9f5619e82d886321b2259c5c6d04972e19edc93f1546d

Observation d56c8239-7242-4e50-9f38-e832e98b5b1d · outbound

This paper cites AlignGuard: Scalable Safety Alignment for Text-to-Image Generation.

Red-Teaming Text-to-Image Systems by Rule-based Preference Modeling AlignGuard: Scalable Safety Alignment for Text-to-Image Generation

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-07T13:46:19.898008Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:46:19.898008Z digest=sha256:cd3362abb337d71b7002e3b05cc7cbfd7291bdd9583c0e156135faf5242a6b73

Observation 0fcb33dd-1bf0-4fbb-b678-57ae94190f53 · outbound

This paper cites Jailbreaking Prompt Attack: A Controllable Adversarial Attack against Diffusion Models.

Red-Teaming Text-to-Image Systems by Rule-based Preference Modeling Jailbreaking Prompt Attack: A Controllable Adversarial Attack against Diffusion Models

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-07T13:46:19.995687Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:46:19.995687Z digest=sha256:2e9fd12b11b8e802d1e88bc55f7fbefbf9b18607a331294ee77bc9dfd3e1ac26

Observation 9a922576-fcbd-49d4-9ef3-ec890401d18a · outbound

This paper cites FLIRT: Feedback loop in-context red teaming.

Red-Teaming Text-to-Image Systems by Rule-based Preference Modeling FLIRT: Feedback loop in-context red teaming

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:46:27.366287Z

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.

source=pdf_text observed=2026-08-07T13:46:20.057011Z digest=sha256:2d8feb4e3a3ba3be9055e43fdf789dadde53a9a1a25d48d504e8b0f8166c53e6

Observation f1308b71-6a34-489f-9188-096c7e89bb84 · outbound

This paper cites Improving robustness of 3d point cloud recognition from a fourier perspective.Advances in Neural Information Processing Systems, 37:68183–68210, 2024.

Red-Teaming Text-to-Image Systems by Rule-based Preference Modeling Improving robustness of 3d point cloud recognition from a fourier perspective.Advances in Neural Information Processing Systems, 37:68183–68210, 2024

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:46:27.190137Z

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.

source=pdf_text observed=2026-08-07T13:46:20.132921Z digest=sha256:b70308762bbd9da99d6cc092980ee5db21eff62631f12d07edb7690ca200580f

Observation 467b4409-30d4-4c1b-9694-2dad6d3548e5 · outbound

This paper cites Isometric 3d adversarial examples in the physical world.

Red-Teaming Text-to-Image Systems by Rule-based Preference Modeling Isometric 3d adversarial examples in the physical world

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:46:26.900403Z

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.

source=pdf_text observed=2026-08-07T13:46:20.234615Z digest=sha256:56806fce6a5e85d86bd63602eb00e5be2a800184a31491186b2c8e5a79c2045d

Observation 3cff4872-a4db-43ca-af70-fab9448f06dd · outbound

This paper cites T2vsafetybench: Evaluating the safety of text-to-video generative models.

Red-Teaming Text-to-Image Systems by Rule-based Preference Modeling T2vsafetybench: Evaluating the safety of text-to-video generative models

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:46:26.695208Z

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.

source=pdf_text observed=2026-08-07T13:46:20.317381Z digest=sha256:1b813ab9ffd2ff5aa702e62675d0b16b8607e3a83d000a449f25799d40fc910d

Observation 69bdedcb-bf52-4e33-a01a-823f00e69bd5 · outbound

This paper cites Midjourney, 2022.

Red-Teaming Text-to-Image Systems by Rule-based Preference Modeling Midjourney, 2022

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:46:26.552820Z

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.

source=pdf_text observed=2026-08-07T13:46:20.355298Z digest=sha256:dcc24831a3d5d360bf1a250cb6e99e72a71013827ca1cee13ce23bf10108cdb6

Observation c2945038-ef4b-4fd4-b31f-9bae3ac5353b · outbound

This paper cites Google chief admits ‘biased’ ai tool’s photo diversity offended users, 2024.

Red-Teaming Text-to-Image Systems by Rule-based Preference Modeling Google chief admits ‘biased’ ai tool’s photo diversity offended users, 2024

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:46:26.350446Z

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.

source=pdf_text observed=2026-08-07T13:46:20.398140Z digest=sha256:8312a2066f83dc406cafeafd6016513a4af247b6d249f15959d81112400b685c

Observation 40669cae-625e-4c0b-95cc-e3a97055aa21 · outbound

This paper cites Simple open- vocabulary object detection.

Red-Teaming Text-to-Image Systems by Rule-based Preference Modeling Simple open- vocabulary object detection

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-07T13:46:20.472709Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:46:20.472709Z digest=sha256:106e0ec2ff96d632e3771307b8e0835e7b6ac4e9948c36b15915d4633762e503

Observation 1e66aadb-8579-4289-816f-703d3db17b14 · outbound

This paper cites GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models.

Red-Teaming Text-to-Image Systems by Rule-based Preference Modeling GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-07T13:46:20.607480Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:46:20.607480Z digest=sha256:4607b686401f330fa1247d5625d9c1a873f4ab3e207564c59a7a5389ffc6594d

Observation 20c340ee-1281-4093-82eb-486d975db18b · outbound

This paper cites Nudenet, 2024.

Red-Teaming Text-to-Image Systems by Rule-based Preference Modeling Nudenet, 2024

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:46:26.195613Z

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.

source=pdf_text observed=2026-08-07T13:46:20.658583Z digest=sha256:c369bc1ba39d56c08a02f2de6033a838fff3332f8bf93d4c507f93217a3a8e6b

Observation e29ea114-a80f-483c-bc6b-611cd3d7f48c · outbound

This paper cites Dall-e 3, 2023.

Red-Teaming Text-to-Image Systems by Rule-based Preference Modeling Dall-e 3, 2023

Reference 43

Resolution
parse uncertain
raw_fallback, observed 2026-08-07T13:46:25.903404Z

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.

source=pdf_text observed=2026-08-07T13:46:20.729195Z digest=sha256:da18dd0b93bcbc2a041523bafabe0a8d0b578485990a3f1f572de3bf3cba1a3e

Observation 071b87ad-f2a8-47fd-9488-db8bb42ca730 · outbound

This paper cites Gpt-4o, 2024.

Red-Teaming Text-to-Image Systems by Rule-based Preference Modeling Gpt-4o, 2024

Reference 44

Resolution
parse uncertain
no resolver link, observed 2026-08-07T13:46:20.815343Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:46:20.815343Z digest=sha256:403dd5d81da392cf9eb9e524c1f970a1dcc97babdf004acd9318c4253410d7e4

Observation 70071a16-0f91-4d37-849a-69ccbbfe0137 · outbound

This paper cites Direct unlearning optimization for robust and safe text-to-image models.

Red-Teaming Text-to-Image Systems by Rule-based Preference Modeling Direct unlearning optimization for robust and safe text-to-image models

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:46:25.742889Z

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.

source=pdf_text observed=2026-08-07T13:46:20.871144Z digest=sha256:2dd5f705dd0b8a14b2855d11076f63ca44fd7192ee635f751c310de762f5a1dc

Observation ee6a0495-1b09-40e9-b9ee-95cc7135e784 · outbound

This paper cites Sdxl: Improving latent diffusion models for high-resolution image synthesis.

Red-Teaming Text-to-Image Systems by Rule-based Preference Modeling Sdxl: Improving latent diffusion models for high-resolution image synthesis

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:46:25.446553Z

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.

source=pdf_text observed=2026-08-07T13:46:20.907396Z digest=sha256:86f0a49da9b8cb516a62f8b6ab3eb02c3974409a1a46ed01e10c3dadb1194eca

Observation 6e1ac51a-2cf5-426b-8df5-e39f2ddf89fc · outbound

This paper cites Unsafe diffusion: On the generation of unsafe images and hateful memes from text-to-image models.

Red-Teaming Text-to-Image Systems by Rule-based Preference Modeling Unsafe diffusion: On the generation of unsafe images and hateful memes from text-to-image models

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:46:25.166876Z

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.

source=pdf_text observed=2026-08-07T13:46:20.955048Z digest=sha256:0042ef35b17ebec199532133c0f47aadf1e71f321a66eb9d1cca09abc48b226f

Observation 5a9417ca-ed68-4a39-8c97-2a73725cf61b · outbound

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

Red-Teaming Text-to-Image Systems by Rule-based Preference Modeling Learning transferable visual models from natural language supervision

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-07T13:46:20.994286Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:46:20.994286Z digest=sha256:cd5364a0bd75602aca760f967cced66b76554b2ab991607d9eb61fb86c8fccfa

Observation b9e8a497-3a7b-43f8-b2d4-910d6cfe83a2 · outbound

This paper cites Direct preference optimization: Your language model is secretly a reward model.

Red-Teaming Text-to-Image Systems by Rule-based Preference Modeling Direct preference optimization: Your language model is secretly a reward model

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-07T13:46:21.053115Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:46:21.053115Z digest=sha256:f8230a7965c23c1868fddc5ac24d3f3e390b35472993a490b2bb8f4a510a27d2

Observation 069feabf-56b7-48ad-bcbb-71e4bc0b117f · outbound

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

Red-Teaming Text-to-Image Systems by Rule-based Preference Modeling Red-Teaming the Stable Diffusion Safety Filter

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-07T13:46:21.103762Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:46:21.103762Z digest=sha256:4d4e4d0f3529013e90b8fc5bf40112f03da9e7a72183dd7c3e646a7d049a7c20

Observation ef9f718a-01fe-4bfa-89c3-a811671efda5 · outbound

This paper cites Classification algorithm for skin color (casco): A new tool to measure skin color in social science research.Social Science Quarterly, 104(2):168–179, 2023.

Red-Teaming Text-to-Image Systems by Rule-based Preference Modeling Classification algorithm for skin color (casco): A new tool to measure skin color in social science research.Social Science Quarterly, 104(2):168–179, 2023

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:46:24.962779Z

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.

source=pdf_text observed=2026-08-07T13:46:21.169499Z digest=sha256:4f9ade50e8142ab755ddbdd06555d70a93ca657754ddfdf4bdf71c05cd5278b7

Observation 61c2704e-383b-41d1-b3ef-2b81fb9a26ca · outbound

This paper cites High-resolution image synthesis with latent diffusion models.

Red-Teaming Text-to-Image Systems by Rule-based Preference Modeling High-resolution image synthesis with latent diffusion models

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-07T13:46:21.207599Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:46:21.207599Z digest=sha256:9ae2ede039ccdaef9c1045a1b2703d120580aaf4bbeb89ae962e0adfa71b62fd

Observation 31582233-3665-4da0-9446-2f272ad18f63 · outbound

This paper cites Safe latent diffusion: Mitigating inappropriate degeneration in diffusion models.

Red-Teaming Text-to-Image Systems by Rule-based Preference Modeling Safe latent diffusion: Mitigating inappropriate degeneration in diffusion models

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-07T13:46:21.237818Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:46:21.237818Z digest=sha256:6d334809a5ba95b3fb0b1b0a71a60bc61bf103ad1a3ffac71c0cc6ecd029d490

Observation 37e0f4d0-d0a0-4408-9e1a-0b54fd0edc2d · outbound

This paper cites an unresolved cited work.

Red-Teaming Text-to-Image Systems by Rule-based Preference Modeling Unresolved cited work

Reference 54

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:46:24.780866Z

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.

source=pdf_text observed=2026-08-07T13:46:21.316602Z digest=sha256:b3536a6468161d09cd8d96521b19eb328ae1d42d325904a83f5813f9b46fccbd

Observation 88ad7575-0e1c-4f98-9c49-18db54aedb42 · outbound

This paper cites Intriguing properties of neural networks.

Red-Teaming Text-to-Image Systems by Rule-based Preference Modeling Intriguing properties of neural networks

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-07T13:46:21.369807Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:46:21.369807Z digest=sha256:a9b6f7d3c99184ed1f5835152382fe55a56454429ed00052296ea061b11ddd2c

Observation 6738f7f1-63f0-41e7-a1a0-28876b497cf4 · outbound

This paper cites Ring-a-bell! how reliable are concept removal methods for diffusion models? In International Conference on Learning Representations, 2024.

Red-Teaming Text-to-Image Systems by Rule-based Preference Modeling Ring-a-bell! how reliable are concept removal methods for diffusion models? In International Conference on Learning Representations, 2024

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:46:24.616897Z

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.

source=pdf_text observed=2026-08-07T13:46:21.433394Z digest=sha256:35e6fd5ba537faf2a6ee14a2517aceac9180bddde78b3067ab3564ee4541147a

Observation d589ca16-96bc-435f-b1a4-b1300211dcfe · outbound

This paper cites The stronger the diffusion model, the easier the backdoor: Data poisoning to induce copyright breacheswithout adjusting finetuning pipeline.

Red-Teaming Text-to-Image Systems by Rule-based Preference Modeling The stronger the diffusion model, the easier the backdoor: Data poisoning to induce copyright breacheswithout adjusting finetuning pipeline

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:46:24.400324Z

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.

source=pdf_text observed=2026-08-07T13:46:21.472098Z digest=sha256:340f455dd98e4299496f02c939922a4a476ec136512da3cf831f213c6491dec5

Observation 65027b5e-da50-4a00-9771-6d7a9b5c45cd · outbound

This paper cites Mma-diffusion: Multimodal attack on diffusion models.

Red-Teaming Text-to-Image Systems by Rule-based Preference Modeling Mma-diffusion: Multimodal attack on diffusion models

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-07T13:46:21.505094Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:46:21.505094Z digest=sha256:53a929c37aa5b373665afd3bbdf0116384aa8b98b7b06961264d488b0fba52f3

Observation 5d908c12-fb10-4f01-bd53-86196e7bf2f3 · outbound

This paper cites Guardt2i: Defending text-to-image models from adversarial prompts.

Red-Teaming Text-to-Image Systems by Rule-based Preference Modeling Guardt2i: Defending text-to-image models from adversarial prompts

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:46:24.220464Z

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.

source=pdf_text observed=2026-08-07T13:46:21.545043Z digest=sha256:1d3b0c100218c5da6dd0a87dc00cf076537f9e56c0d79475eb63bcdfdc918ea8

Observation f5c7171d-2b61-4b9f-bdbf-32773b1389b9 · outbound

This paper cites Sneakyprompt: Jailbreaking text-to-image generative models.

Red-Teaming Text-to-Image Systems by Rule-based Preference Modeling Sneakyprompt: Jailbreaking text-to-image generative models

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-07T13:46:21.617031Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:46:21.617031Z digest=sha256:73d87c4dd7ca17dcf705172163cb9cb99af4de3a3358455d70b618ab89305455

Observation c5e8d408-10f4-4b86-a1f4-51e7ddae20af · outbound

This paper cites Safree: Training-free and adaptive guard for safe text-to-image and video generation.

Red-Teaming Text-to-Image Systems by Rule-based Preference Modeling Safree: Training-free and adaptive guard for safe text-to-image and video generation

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:46:24.028683Z

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.

source=pdf_text observed=2026-08-07T13:46:21.675664Z digest=sha256:0f6c5d541c7f79bfb52fe13fc0c7c9a25f2924cf7d25ecac110b6f009e5ea6d9

Observation 2c06bf45-5431-490c-a162-0ea182b21ecb · outbound

This paper cites Generalization bound and new algorithm for clean-label backdoor attack.

Red-Teaming Text-to-Image Systems by Rule-based Preference Modeling Generalization bound and new algorithm for clean-label backdoor attack

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:46:23.873655Z

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.

source=pdf_text observed=2026-08-07T13:46:21.740929Z digest=sha256:1063aeb8545fbe5cdf88ade11c8105fb601be560b33a225a78b5845ce623b693

Observation b0a9bb0f-61ec-4674-89ef-bc34fe84c2aa · outbound

This paper cites Reason2attack: Jailbreaking text-to-image models via llm reasoning.arXiv preprint arXiv:2503.17987, 2025.

Red-Teaming Text-to-Image Systems by Rule-based Preference Modeling Reason2attack: Jailbreaking text-to-image models via llm reasoning.arXiv preprint arXiv:2503.17987, 2025

Reference 63

Resolution
unresolved
no resolver link, observed 2026-08-07T13:46:21.781190Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:46:21.781190Z digest=sha256:86517e994de22979913555136a86bad98eaf8a573b91983e8785da93404ec46c

Observation 8faed6ec-0b2e-4ffc-9dca-687387e16f30 · outbound

This paper cites Forget-me-not: Learning to forget in text-to-image diffusion models.

Red-Teaming Text-to-Image Systems by Rule-based Preference Modeling Forget-me-not: Learning to forget in text-to-image diffusion models

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:46:23.682527Z

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.

source=pdf_text observed=2026-08-07T13:46:21.811491Z digest=sha256:93810947c7fccd2386b126f12e9d31092f7a00eb685bdbe6c149640f87f34631

Observation 154b2969-cc2c-41e1-9b9b-22de165de71c · outbound

This paper cites Defensive unlearning with adversarial training for robust concept erasure in diffusion models.

Red-Teaming Text-to-Image Systems by Rule-based Preference Modeling Defensive unlearning with adversarial training for robust concept erasure in diffusion models

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:46:23.502622Z

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.

source=pdf_text observed=2026-08-07T13:46:21.845321Z digest=sha256:dac1246972092b89cccd197f599d85dca8e6146923a469f5f00d6dea76db6d3f

Observation 15b7c14f-59f1-4b63-b7fc-798547a57951 · outbound

This paper cites To generate or not? safety-driven unlearned diffusion models are still easy to generate unsafe images.

Red-Teaming Text-to-Image Systems by Rule-based Preference Modeling To generate or not? safety-driven unlearned diffusion models are still easy to generate unsafe images

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:46:23.312372Z

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.

source=pdf_text observed=2026-08-07T13:46:21.904181Z digest=sha256:69a96b226f9ebb04487ed0d564d0393092c556688cdb0b837b7aa60b304ac7e0

Observation 8ab008de-a947-42c6-ae96-463eaa733b6a · outbound

This paper cites Open-Sora: Democratizing Efficient Video Production for All.

Red-Teaming Text-to-Image Systems by Rule-based Preference Modeling Open-Sora: Democratizing Efficient Video Production for All

Reference 67

Resolution
unresolved
no resolver link, observed 2026-08-07T13:46:21.978840Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:46:21.978840Z digest=sha256:a2aa81b493da08920b6d3661ef8e3253c49896852d96dd6edbdfbf6b9961cef6

Observation 19c51780-bba0-4ba0-ae09-2d0618bf543b · outbound

This paper cites Toward availability attacks in 3d point clouds.

Red-Teaming Text-to-Image Systems by Rule-based Preference Modeling Toward availability attacks in 3d point clouds

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:46:23.130581Z

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.

source=pdf_text observed=2026-08-07T13:46:22.036060Z digest=sha256:b7a9db956e4467b5cdf716d9bb66f4130af6a38583997fcaeb329ab28ca5f7b3

Observation 224e5c65-dd55-4502-a2fe-ba86fb6bd002 · outbound

This paper cites A pilot study of query-free adversarial attack against stable diffusion.

Red-Teaming Text-to-Image Systems by Rule-based Preference Modeling A pilot study of query-free adversarial attack against stable diffusion

Reference 69

Resolution
malformed identifier
raw_fallback, observed 2026-08-07T13:46:22.366927Z

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.

source=pdf_text observed=2026-08-07T13:46:22.123029Z digest=sha256:ae1003048840fc5c711fb9fc9ed0abec5c9ecb6026f79cefe9121b52fb451709

Pith citing papers

Observation 5c1193e1-97d5-4b17-87cc-4696d85cad53 · inbound

Dynamic Defense Profiling Enables Cognitive Jailbreak of Text-to-Image Models cites this paper.

Dynamic Defense Profiling Enables Cognitive Jailbreak of Text-to-Image Models Red-Teaming Text-to-Image Systems by Rule-based Preference Modeling

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-01T17:07:54.406120Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T17:07:54.406120Z digest=sha256:59f6994038802c9d3fe18e8ede712d633fe2ea7a2a33f948a3e1d2d48bebc2a1