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Paper Citation Record · LEDGER

The Art of Deception: Color Visual Illusions and Diffusion Models

As of 16 August 2026, this Paper Citation Record lists 57 of 57 outbound references and 1 inbound Pith citation observation for arXiv:2412.10122.

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

pith.paper-citation-record.v1
2412.10122 v1

Coverage vector

measured 57 of 57 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T16:23:09.296736Z

measured 58 of 58 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T18:58:30.012275Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

57 of 57 outbound references displayed

  • verified exact3
  • verified fuzzy38
  • unresolved15
  • parse uncertain1
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b29736f8-f057-44e2-af57-b80a26cb8f25 · outbound

This paper cites Contrast sensitivity function in deep networks.

The Art of Deception: Color Visual Illusions and Diffusion Models Contrast sensitivity function in deep networks

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation bbf39069-07cf-4f57-8d48-8dbbc5ebb6ff · outbound

This paper cites DeepFloyd IF: a novel state- of-the-art open-source text-to-image model with a high de- gree of photorealism and language understanding.

The Art of Deception: Color Visual Illusions and Diffusion Models DeepFloyd IF: a novel state- of-the-art open-source text-to-image model with a high de- gree of photorealism and language understanding

Reference 2

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Source-reported events for the cited work

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Observation 2736ef8c-abd8-4897-b38f-2e8e17aab252 · outbound

This paper cites Noise masking of white’s illusion exposes the weakness of current spatial filtering models of lightness perception.

The Art of Deception: Color Visual Illusions and Diffusion Models Noise masking of white’s illusion exposes the weakness of current spatial filtering models of lightness perception

Reference 3

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Source-reported events for the cited work

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Observation feb979e9-0d91-4e30-ab42-91f8239b0a2e · outbound

This paper cites A multiscale spa- tial filtering account of the white effect, simultaneous bright- ness contrast and grating induction.

The Art of Deception: Color Visual Illusions and Diffusion Models A multiscale spa- tial filtering account of the white effect, simultaneous bright- ness contrast and grating induction

Reference 4

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 9f4b11d7-c027-43f2-9bec-ea31601e5099 · outbound

This paper cites an unresolved cited work.

The Art of Deception: Color Visual Illusions and Diffusion Models Unresolved cited work

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 9725c46b-0d1e-4361-852e-c676f9320644 · outbound

This paper cites Diffusion Illusions: Hiding Images in Plain Sight.

The Art of Deception: Color Visual Illusions and Diffusion Models Diffusion Illusions: Hiding Images in Plain Sight

Reference 6

Resolution
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Source-reported events for the cited work

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Observation 7cd6fc78-6e56-4766-80c4-9774fd284702 · outbound

This paper cites Attend-and-excite: Attention-based se- mantic guidance for text-to-image diffusion models.

The Art of Deception: Color Visual Illusions and Diffusion Models Attend-and-excite: Attention-based se- mantic guidance for text-to-image diffusion models

Reference 7

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Source-reported events for the cited work

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Observation 92e64beb-2580-4820-baf2-99916e735158 · outbound

This paper cites What are lightness illusions and why do we see them? PLoS computational biology , 3 (9):e180, 2007.

The Art of Deception: Color Visual Illusions and Diffusion Models What are lightness illusions and why do we see them? PLoS computational biology , 3 (9):e180, 2007

Reference 8

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Source-reported events for the cited work

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Observation d3fab39c-0911-40a7-9dfe-948f05378b48 · outbound

This paper cites The many colours of ‘the dress’.

The Art of Deception: Color Visual Illusions and Diffusion Models The many colours of ‘the dress’

Reference 9

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Source-reported events for the cited work

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Observation d45a79ad-9b45-4fdf-a984-cb8647128d87 · outbound

This paper cites Visual ana- grams: Generating multi-view optical illusions with diffu- sion models.

The Art of Deception: Color Visual Illusions and Diffusion Models Visual ana- grams: Generating multi-view optical illusions with diffu- sion models

Reference 10

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Source-reported events for the cited work

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Observation a007fe29-4234-433c-8b6c-cf4af2630cf1 · outbound

This paper cites Factorized Diffusion: Perceptual Illusions by Noise Decomposition.

The Art of Deception: Color Visual Illusions and Diffusion Models Factorized Diffusion: Perceptual Illusions by Noise Decomposition

Reference 11

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Source-reported events for the cited work

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Observation e5ce7868-764c-44ca-9229-6d1c77b9e724 · outbound

This paper cites Convolutional neural networks can be deceived by visual illusions.

The Art of Deception: Color Visual Illusions and Diffusion Models Convolutional neural networks can be deceived by visual illusions

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 3f297973-748d-4038-aa91-cde83fd6b7b2 · outbound

This paper cites Color illusions also de- ceive cnns for low-level vision tasks: Analysis and implica- tions.

The Art of Deception: Color Visual Illusions and Diffusion Models Color illusions also de- ceive cnns for low-level vision tasks: Analysis and implica- tions

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 9a40b4ef-09d0-4baa-a50a-119aca80f6b3 · outbound

This paper cites Gomez-Villa, A.

The Art of Deception: Color Visual Illusions and Diffusion Models Gomez-Villa, A

Reference 14

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Source-reported events for the cited work

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Observation 96284c50-712b-4e3f-9396-1eeaa4e226a7 · outbound

This paper cites Hallusionbench: an advanced diagnos- tic suite for entangled language hallucination and visual il- lusion in large vision-language models.

The Art of Deception: Color Visual Illusions and Diffusion Models Hallusionbench: an advanced diagnos- tic suite for entangled language hallucination and visual il- lusion in large vision-language models

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 15d7e175-4fdb-432e-8973-4d772d3ba7dd · outbound

This paper cites Eine erscheinung simultanen contrastes.

The Art of Deception: Color Visual Illusions and Diffusion Models Eine erscheinung simultanen contrastes

Reference 16

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Observation 0793e447-498a-47b3-95f1-f1bed467bbf7 · outbound

This paper cites Color visual illusions: A statistics-based computational model.

The Art of Deception: Color Visual Illusions and Diffusion Models Color visual illusions: A statistics-based computational model

Reference 17

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Observation 6b8485a1-5251-49bd-be68-74c4af5beff0 · outbound

This paper cites Classifier-free diffusion guidance.

The Art of Deception: Color Visual Illusions and Diffusion Models Classifier-free diffusion guidance

Reference 18

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Source-reported events for the cited work

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Observation 443e1f32-0ec1-4435-8619-8d89d586cb1d · outbound

This paper cites Neural Networks Trained on Natural Scenes Exhibit Gestalt Closure.

The Art of Deception: Color Visual Illusions and Diffusion Models Neural Networks Trained on Natural Scenes Exhibit Gestalt Closure

Reference 19

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Source-reported events for the cited work

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Observation 1329af81-6e08-4bcc-8891-a18818fb95d2 · outbound

This paper cites Lightness, brightness and trans- parency: A quarter century of new ideas, captivating demon- strations and unrelenting controversy.

The Art of Deception: Color Visual Illusions and Diffusion Models Lightness, brightness and trans- parency: A quarter century of new ideas, captivating demon- strations and unrelenting controversy

Reference 20

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Observation d3d96802-7ff3-4396-9394-2e6e0aeb60fd · outbound

This paper cites Barutan-seijin.

The Art of Deception: Color Visual Illusions and Diffusion Models Barutan-seijin

Reference 21

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Observation 832eadfd-58c2-42b0-be42-f0567d01c337 · outbound

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The Art of Deception: Color Visual Illusions and Diffusion Models Unresolved cited work

Reference 22

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Observation df221282-a52c-401b-8e61-425199dec397 · outbound

This paper cites an unresolved cited work.

The Art of Deception: Color Visual Illusions and Diffusion Models Unresolved cited work

Reference 23

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Observation 17e58f6b-5357-4211-b272-60bc964555c5 · outbound

This paper cites A ma- chine learning model perceiving brightness optical illusions: Quantitative evaluation with psychophysical data.

The Art of Deception: Color Visual Illusions and Diffusion Models A ma- chine learning model perceiving brightness optical illusions: Quantitative evaluation with psychophysical data

Reference 24

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Observation 0c808b53-c673-4775-8c58-6f1164f31f8f · outbound

This paper cites Diffusion-based image translation using disentangled style and content representa- tion.

The Art of Deception: Color Visual Illusions and Diffusion Models Diffusion-based image translation using disentangled style and content representa- tion

Reference 25

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Observation e9779933-0dc5-4906-a2cd-74f59c02543c · outbound

This paper cites Laparra and J.

The Art of Deception: Color Visual Illusions and Diffusion Models Laparra and J

Reference 26

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 7e6fa45d-3480-4375-8392-e0f9c9b3cfbe · outbound

This paper cites Laparra, G.

The Art of Deception: Color Visual Illusions and Diffusion Models Laparra, G

Reference 27

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Source-reported events for the cited work

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Observation 5669c706-4f5d-4cdf-986f-ba8c265ce991 · outbound

This paper cites Laparra, S.

The Art of Deception: Color Visual Illusions and Diffusion Models Laparra, S

Reference 28

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation a9654574-c22f-465f-ba88-666bd090f81a · outbound

This paper cites Laparra, JE.

The Art of Deception: Color Visual Illusions and Diffusion Models Laparra, JE

Reference 29

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation d5ad3966-5b67-4d50-89a5-1e07a606b912 · outbound

This paper cites Contrast sensitivity functions in autoencoders.

The Art of Deception: Color Visual Illusions and Diffusion Models Contrast sensitivity functions in autoencoders

Reference 30

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation a01653ce-7281-44b6-b476-218e18572927 · outbound

This paper cites Vi- sual illusion cognition dataset construction and recognition performance by deep neural networks.

The Art of Deception: Color Visual Illusions and Diffusion Models Vi- sual illusion cognition dataset construction and recognition performance by deep neural networks

Reference 31

Resolution
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Source-reported events for the cited work

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Observation 0174a71b-8d6d-4619-912d-a666eebb5cc2 · outbound

This paper cites A comparative biology approach to dnn modeling of vision: A focus on differences, not similarities.

The Art of Deception: Color Visual Illusions and Diffusion Models A comparative biology approach to dnn modeling of vision: A focus on differences, not similarities

Reference 32

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 69a34ab2-a3d3-4730-8590-29bb974f3eba · outbound

This paper cites Grating induction: A new explanation for stationary phantom gratings.

The Art of Deception: Color Visual Illusions and Diffusion Models Grating induction: A new explanation for stationary phantom gratings

Reference 33

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation a22fd00e-ffec-4f04-9970-2c6926e80f0e · outbound

This paper cites SDEdit: Guided image synthesis and editing with stochastic differential equa- tions.

The Art of Deception: Color Visual Illusions and Diffusion Models SDEdit: Guided image synthesis and editing with stochastic differential equa- tions

Reference 34

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation ff41cc7b-3bd3-4408-8ada-33ebb90a461f · outbound

This paper cites Does enhanced shape bias improve neural network robustness to common corruptions?.

The Art of Deception: Color Visual Illusions and Diffusion Models Does enhanced shape bias improve neural network robustness to common corruptions?

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-11T16:23:09.222924Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation ef8aefb3-e056-4a9e-aa32-05100b6a4034 · outbound

This paper cites Is clip fooled by optical illusions? 2023.

The Art of Deception: Color Visual Illusions and Diffusion Models Is clip fooled by optical illusions? 2023

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:23:09.607007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 85529e26-7a80-49d3-84a8-9bb0f6c3face · outbound

This paper cites The confetti illusion.

The Art of Deception: Color Visual Illusions and Diffusion Models The confetti illusion

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:23:09.595646Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 6006b240-e803-417b-acec-c2041a10715f · outbound

This paper cites To- ward a unified chromatic induction model.Journal of Vision, 10(12):5–5, 2010.

The Art of Deception: Color Visual Illusions and Diffusion Models To- ward a unified chromatic induction model.Journal of Vision, 10(12):5–5, 2010

Reference 38

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation ec3b768b-f89b-4ff3-b0cf-37f169efe28f · outbound

This paper cites Linguistic bind- ing in diffusion models: Enhancing attribute correspondence through attention map alignment.

The Art of Deception: Color Visual Illusions and Diffusion Models Linguistic bind- ing in diffusion models: Enhancing attribute correspondence through attention map alignment

Reference 39

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T16:23:09.236743Z digest=sha256:c50806209ef721eee4f61138604814060eb7fc9c030d85ce06186fefd1fb1fdd

Observation 90523717-9fd2-4ce2-be70-4e19d98fcc7c · outbound

This paper cites Variational Inference with Normalizing Flows.

The Art of Deception: Color Visual Illusions and Diffusion Models Variational Inference with Normalizing Flows

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-11T16:23:09.240220Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T16:23:09.240220Z digest=sha256:aa4d16859723c3fb15c6e12a8a1daa5ce7a535fb4a36b09cb8d5e74593bfb533

Observation 651871e1-e3d5-4510-8a18-9bcb0e21d250 · outbound

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

The Art of Deception: Color Visual Illusions and Diffusion Models High-resolution image synthesis with latent diffusion models

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-11T16:23:09.243961Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T16:23:09.243961Z digest=sha256:032a4d9a1ca9647e4dfb02c47028e3dc080e2914ff7830a6624f9bd7c7c43fee

Observation 217aa2ba-4c6d-4605-9699-188d910c7ae9 · outbound

This paper cites Bri3l: A brightness illusion image dataset for identification and localization of regions of illusory perception.

The Art of Deception: Color Visual Illusions and Diffusion Models Bri3l: A brightness illusion image dataset for identification and localization of regions of illusory perception

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:23:09.553540Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T16:23:09.247285Z digest=sha256:73c124a6c4212611f4b1489f4375fd5492c0c24d6fa1c608f6a23678e810d022

Observation 067f5241-889c-4c43-b669-1738b419e62c · outbound

This paper cites BRI3L: A Brightness Illusion Image Dataset for Identification and Localization of Regions of Illusory Perception.

The Art of Deception: Color Visual Illusions and Diffusion Models BRI3L: A Brightness Illusion Image Dataset for Identification and Localization of Regions of Illusory Perception

Reference 43

Resolution
verified exact
local_arxiv, observed 2026-08-11T16:23:09.400511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T16:23:09.250869Z digest=sha256:758328ec33c91545c5467061b60cb3a123cf8c841e660ca515fbab00b3312290

Observation 96683c85-2c11-4a28-9fa8-32aeeee56807 · outbound

This paper cites IllusionVQA: A Challenging Optical Illusion Dataset for Vision Language Models.

The Art of Deception: Color Visual Illusions and Diffusion Models IllusionVQA: A Challenging Optical Illusion Dataset for Vision Language Models

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-11T16:23:09.254506Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T16:23:09.254506Z digest=sha256:17c9319c677c23e226639bfceeb087486ef3754b4c632a3abffd0fca225c4512

Observation f8d06949-d6b3-4746-b465-6ca201018ec1 · outbound

This paper cites Shapiro and Dejan Todorovic.

The Art of Deception: Color Visual Illusions and Diffusion Models Shapiro and Dejan Todorovic

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:23:09.541948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T16:23:09.258185Z digest=sha256:68e6f58651a9f339a08b959c654548c35e74a5ecdc935d50ff78ac95f48eba6d

Observation 3c6dbb11-043e-4b2e-a540-3b780b5d3ff7 · outbound

This paper cites Denois- ing diffusion implicit models.

The Art of Deception: Color Visual Illusions and Diffusion Models Denois- ing diffusion implicit models

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-11T16:23:09.261579Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T16:23:09.261579Z digest=sha256:d57f409a11652aebcccf6cea885d1261ff8a0ebc6ef9b4d69b70915e62725e7d

Observation c762cf92-d92f-4b6c-86e4-eccda243953a · outbound

This paper cites Imagenet-trained deep neu- ral networks exhibit illusion-like response to the scintillating grid.

The Art of Deception: Color Visual Illusions and Diffusion Models Imagenet-trained deep neu- ral networks exhibit illusion-like response to the scintillating grid

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:23:09.522325Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T16:23:09.264835Z digest=sha256:13e0061f169e26b37aed9081cff0017e14f8fd9e29150c4e935e30bf30c2fb9e

Observation d9614ada-c23a-4fcd-9845-8825f89df163 · outbound

This paper cites Investigating Color Illusions from the Perspective of Computational Color Constancy.

The Art of Deception: Color Visual Illusions and Diffusion Models Investigating Color Illusions from the Perspective of Computational Color Constancy

Reference 48

Resolution
verified exact
local_arxiv, observed 2026-08-11T16:23:09.372826Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T16:23:09.268240Z digest=sha256:3da199cc408d4b7e563d433f6345eefc9ddc4a3518a27d793122caae9cec6056

Observation abd4ffc1-1fc0-4d5d-b368-f0537774ceeb · outbound

This paper cites Interpolating between im- ages with diffusion models.

The Art of Deception: Color Visual Illusions and Diffusion Models Interpolating between im- ages with diffusion models

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:23:09.510168Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T16:23:09.271733Z digest=sha256:ff059a31ecc658937dd9aaf7b0490a6f538e518412d334c06773ceb744987646

Observation 7084f323-0991-478d-a400-b329223b033a · outbound

This paper cites Tokencompose: Grounding diffusion with token-level supervision.

The Art of Deception: Color Visual Illusions and Diffusion Models Tokencompose: Grounding diffusion with token-level supervision

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:23:09.499425Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T16:23:09.274977Z digest=sha256:daf091b3952a45215e4d5a6c0f88c15bb99eb92a8c97fb7b893772589c8b40bc

Observation a389e73d-83f6-42fb-8d0a-e8329220fe60 · outbound

This paper cites DiffusionDB: A Large-scale Prompt Gallery Dataset for Text-to-Image Generative Models.

The Art of Deception: Color Visual Illusions and Diffusion Models DiffusionDB: A Large-scale Prompt Gallery Dataset for Text-to-Image Generative Models

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-11T16:23:09.278479Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T16:23:09.278479Z digest=sha256:740c141528d3a67ea67d7ce8d19a89db80e99efeb34424a66a07448ab10dde6a

Observation 03d5aea7-e8ca-458a-b860-d8ce32e87e8e · outbound

This paper cites Illusory motion repro- duced by deep neural networks trained for prediction.

The Art of Deception: Color Visual Illusions and Diffusion Models Illusory motion repro- duced by deep neural networks trained for prediction

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:23:09.488106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T16:23:09.282291Z digest=sha256:c2b6c34fc4bbe32e0dbb55436191cc79389439dc1c1b676925484fbd03396f2c

Observation 734ecf6f-ff5e-4a9b-acb3-57566c90a0ca · outbound

This paper cites Optical Illusions Images Dataset.

The Art of Deception: Color Visual Illusions and Diffusion Models Optical Illusions Images Dataset

Reference 53

Resolution
verified exact
local_arxiv, observed 2026-08-11T16:23:09.344734Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T16:23:09.285686Z digest=sha256:009ee07ce8a21b581f73ffda2006025804699b02eaba633066524d91e307ac0b

Observation ff717fac-15bb-4ce5-820d-816256629e0c · outbound

This paper cites Muller-lyer illusion is replicated by higher layer of pre-trained deep neu- ral network for object recognition.

The Art of Deception: Color Visual Illusions and Diffusion Models Muller-lyer illusion is replicated by higher layer of pre-trained deep neu- ral network for object recognition

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:23:09.476459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T16:23:09.289464Z digest=sha256:89b7a586f055f8f65bf8067ac74d857b554e7dc608a4d61acddec834502cb2d4

Observation 7aaad5b2-04cd-49d2-9eda-3beb4e5af898 · outbound

This paper cites an unresolved cited work.

The Art of Deception: Color Visual Illusions and Diffusion Models Unresolved cited work

Reference 55

Resolution
unresolved
raw_fallback, observed 2026-08-11T16:23:09.464728Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T16:23:09.293362Z digest=sha256:45d8bb80bc7b46746f45e6f69b2ae1c162da5f02046caddc907836562cfb4469

Observation 625fb845-f1a5-4ae8-8cbd-46831e3eb1d6 · outbound

This paper cites Enhancing Semantic Fidelity in Text-to-Image Synthesis: Attention Regulation in Diffusion Models.

The Art of Deception: Color Visual Illusions and Diffusion Models Enhancing Semantic Fidelity in Text-to-Image Synthesis: Attention Regulation in Diffusion Models

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-11T16:23:09.296736Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T16:23:09.296736Z digest=sha256:a503290dc9c3eb096101dc5e874f9e9ea3732745b1c9b0b88252822813af8eb2

Observation 2431a432-9b79-4842-ae8e-5d32a9ee7b20 · outbound

This paper cites an unresolved cited work.

The Art of Deception: Color Visual Illusions and Diffusion Models Unresolved cited work

Reference 2008

Resolution
parse uncertain
raw_fallback, observed 2026-08-11T16:23:09.739163Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T16:23:09.182275Z digest=sha256:8b71deafdd4e7bd1a41a67d5f646968ce07e88946a1ade7549aea27b68dc354d

Pith citing papers

Observation b820aea0-75d9-4a26-823e-a72699e6834e · inbound

Denoising Models Develop Human-Like Perceptual Illusion Representations Across Architectures cites this paper.

Denoising Models Develop Human-Like Perceptual Illusion Representations Across Architectures The Art of Deception: Color Visual Illusions and Diffusion Models

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-08-01T18:58:30.012275Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T18:58:30.012275Z digest=sha256:eda04941ad1156cb281ccf2558310d35b2ad4478f2ff8464f3aced38bc9d7a63