Paper Citation Record · LEDGER

Synthesizing Images on Perceptual Boundaries of ANNs for Uncovering and Manipulating Human Perceptual Variability

As of 18 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 1 inbound Pith citation observation for arXiv:2505.03641.

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

pith.paper-citation-record.v1
2505.03641 v1

Coverage vector

measured 23 of 23 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:52:08.730125Z

measured 24 of 24 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:45:59.339130Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T17:45:59.976276Z

Reference resolution

23 of 23 outbound references displayed

verified exact0
verified fuzzy14
unresolved9
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7e4651da-144e-430b-8bc7-aeb2ccf4845f · outbound

This paper cites 23 Accepted as a conference paper at ICML 2025 Figure A.12.

Synthesizing Images on Perceptual Boundaries of ANNs for Uncovering and Manipulating Human Perceptual Variability 23 Accepted as a conference paper at ICML 2025 Figure A.12

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:52:08.887622Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 49ec77cc-bee2-49bb-abd3-f2fa02257fbd · outbound

This paper cites Figure A.8.

Synthesizing Images on Perceptual Boundaries of ANNs for Uncovering and Manipulating Human Perceptual Variability Figure A.8

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:52:08.912309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 11254444-5c26-424e-b1d2-aa5a77fc7445 · outbound

This paper cites Human alignment of neural network representations.

Synthesizing Images on Perceptual Boundaries of ANNs for Uncovering and Manipulating Human Perceptual Variability Human alignment of neural network representations

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-15T23:52:08.660482Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9a298bc1-13a2-491c-b73e-77935ddb50a4 · outbound

This paper cites Diffusion-based Visual Counterfactual Explanations -- Towards Systematic Quantitative Evaluation.

Synthesizing Images on Perceptual Boundaries of ANNs for Uncovering and Manipulating Human Perceptual Variability Diffusion-based Visual Counterfactual Explanations -- Towards Systematic Quantitative Evaluation

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-15T23:52:08.669203Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 732f65c5-ca26-4d57-bf9e-39cd4996f76d · outbound

This paper cites CoCoG-2: Controllable generation of visual stimuli for understanding human concept representation.

Synthesizing Images on Perceptual Boundaries of ANNs for Uncovering and Manipulating Human Perceptual Variability CoCoG-2: Controllable generation of visual stimuli for understanding human concept representation

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-15T23:52:08.672933Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0506eecf-36c4-47c0-9570-b429b93ed258 · outbound

This paper cites Revealing interpretable object representations from human behavior.

Synthesizing Images on Perceptual Boundaries of ANNs for Uncovering and Manipulating Human Perceptual Variability Revealing interpretable object representations from human behavior

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-15T23:52:08.676906Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 214c8a6a-62a0-48ec-8e06-f820eab26f61 · outbound

This paper cites Details of perceptual boundary sampling A.1.

Synthesizing Images on Perceptual Boundaries of ANNs for Uncovering and Manipulating Human Perceptual Variability Details of perceptual boundary sampling A.1

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:52:08.987514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 49ea9e5a-d225-4289-9f4f-1f9f0aa27a33 · outbound

This paper cites Losses with and without MSE are also compared in Figure.

Synthesizing Images on Perceptual Boundaries of ANNs for Uncovering and Manipulating Human Perceptual Variability Losses with and without MSE are also compared in Figure

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:52:08.955789Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 652b07d4-81d8-4593-b3d0-1c105de68854 · outbound

This paper cites Participants were asked to identify the digit in the image by selecting the corresponding button with the mouse or pressing the number key on the keyboard.

Synthesizing Images on Perceptual Boundaries of ANNs for Uncovering and Manipulating Human Perceptual Variability Participants were asked to identify the digit in the image by selecting the corresponding button with the mouse or pressing the number key on the keyboard

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:52:08.933670Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 96d22158-1bfa-4837-9583-992824604383 · outbound

This paper cites 3? 7? ∇𝐻𝑓! ,3+∇𝐻𝑓.

Synthesizing Images on Perceptual Boundaries of ANNs for Uncovering and Manipulating Human Perceptual Variability 3? 7? ∇𝐻𝑓! ,3+∇𝐻𝑓

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:52:08.922346Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 45380331-8da2-4b8a-9302-bc7f27ccb773 · outbound

This paper cites The images shown to participants are generated by our model.

Synthesizing Images on Perceptual Boundaries of ANNs for Uncovering and Manipulating Human Perceptual Variability The images shown to participants are generated by our model

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:52:08.900626Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a1cb94e3-e6ef-49c3-a9f3-b3295e679a93 · outbound

This paper cites 24 Accepted as a conference paper at ICML 2025 VITVGGCORNetMLPLRM Classifier SuccessBiasFailure Guidance OutcomeLegend ba 49 72 01 Success Bias Failure Figure A.14.

Synthesizing Images on Perceptual Boundaries of ANNs for Uncovering and Manipulating Human Perceptual Variability 24 Accepted as a conference paper at ICML 2025 VITVGGCORNetMLPLRM Classifier SuccessBiasFailure Guidance OutcomeLegend ba 49 72 01 Success Bias Failure Figure A.14

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:52:08.876334Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 4f56c5a5-ce70-43b6-8d8e-8bd0069e93a2 · outbound

This paper cites The real stimuli used to manipulate the subjects are shown on the right.

Synthesizing Images on Perceptual Boundaries of ANNs for Uncovering and Manipulating Human Perceptual Variability The real stimuli used to manipulate the subjects are shown on the right

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:52:08.866267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 93503a97-5cf7-4821-92ef-ea3b5f2cd59d · outbound

This paper cites 31 Accepted as a conference paper at ICML 2025 Figure A.27.

Synthesizing Images on Perceptual Boundaries of ANNs for Uncovering and Manipulating Human Perceptual Variability 31 Accepted as a conference paper at ICML 2025 Figure A.27

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:52:08.855078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 085670ee-1be4-47c4-a746-a3cc156991d2 · outbound

This paper cites 32 Accepted as a conference paper at ICML 2025 Table A.3.

Synthesizing Images on Perceptual Boundaries of ANNs for Uncovering and Manipulating Human Perceptual Variability 32 Accepted as a conference paper at ICML 2025 Table A.3

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:52:08.843377Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 877ef992-8e0c-443a-bb7c-a357621e6d20 · outbound

This paper cites While this approach guarantees category-balanced sampling during the generation process, the final retained stimuli may not necessarily exhibit category balance.

Synthesizing Images on Perceptual Boundaries of ANNs for Uncovering and Manipulating Human Perceptual Variability While this approach guarantees category-balanced sampling during the generation process, the final retained stimuli may not necessarily exhibit category balance

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:52:08.966124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 9bc45bf5-1dc7-4cdd-9139-95d7114d42ed · outbound

This paper cites Performance of digit judgment surrogate.

Synthesizing Images on Perceptual Boundaries of ANNs for Uncovering and Manipulating Human Perceptual Variability Performance of digit judgment surrogate

Reference 128

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:52:08.944083Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation db786604-1651-4040-a659-7aab82094560 · outbound

This paper cites an unresolved cited work.

Synthesizing Images on Perceptual Boundaries of ANNs for Uncovering and Manipulating Human Perceptual Variability Unresolved cited work

Reference 2019

Resolution: unresolved; raw_fallback, observed 2026-08-15T23:52:08.997559Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 9c706ff0-7808-4de8-8161-780a440be1be · outbound

This paper cites When Does Perceptual Alignment Benefit Vision Representations?.

Synthesizing Images on Perceptual Boundaries of ANNs for Uncovering and Manipulating Human Perceptual Variability When Does Perceptual Alignment Benefit Vision Representations?

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-15T23:52:08.664867Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6c626c41-1fdf-425d-96a4-642ab6e38466 · outbound

This paper cites DreamSim: Learning New Dimensions of Human Visual Similarity using Synthetic Data.

Synthesizing Images on Perceptual Boundaries of ANNs for Uncovering and Manipulating Human Perceptual Variability DreamSim: Learning New Dimensions of Human Visual Similarity using Synthetic Data

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-15T23:52:08.648017Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 624e2bfb-fefb-4b34-8c91-ab6760b32de0 · outbound

This paper cites The for- ward phase transforms an image into Gaussian noise over time t∈ [0,T ], while the reverse phase reconstructs the image from noise by reversing this process.

Synthesizing Images on Perceptual Boundaries of ANNs for Uncovering and Manipulating Human Perceptual Variability The for- ward phase transforms an image into Gaussian noise over time t∈ [0,T ], while the reverse phase reconstructs the image from noise by reversing this process

Reference 2022

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:52:08.976708Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation f7fcc46c-aaeb-4e58-98f9-90efbddb7650 · outbound

This paper cites Dimensions underlying the representational alignment of deep neural networks with humans.

Synthesizing Images on Perceptual Boundaries of ANNs for Uncovering and Manipulating Human Perceptual Variability Dimensions underlying the representational alignment of deep neural networks with humans

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-15T23:52:08.655721Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1e8bc16e-9cca-446b-bd21-b321e11ade5d · outbound

This paper cites Elucidating The Design Space of Classifier-Guided Diffusion Generation.

Synthesizing Images on Perceptual Boundaries of ANNs for Uncovering and Manipulating Human Perceptual Variability Elucidating The Design Space of Classifier-Guided Diffusion Generation

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-15T23:52:08.651935Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 76443942-56dc-41a5-b4b0-312bc30a616e · inbound

Dimensions of Vulnerability in Visual Working Memory: An AI-Driven Approach to Perceptual Comparison cites this paper.

Dimensions of Vulnerability in Visual Working Memory: An AI-Driven Approach to Perceptual Comparison Synthesizing Images on Perceptual Boundaries of ANNs for Uncovering and Manipulating Human Perceptual Variability

Reference 23

Resolution: verified exact; local_arxiv, observed 2026-08-06T17:46:00.058118Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.