Paper Citation Record · LEDGER

Derivative-Free Diffusion Manifold-Constrained Gradient for Unified XAI

As of 19 August 2026, this Paper Citation Record lists 55 of 55 outbound references and 1 inbound Pith citation observation for arXiv:2411.15265.

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

pith.paper-citation-record.v1
2411.15265 v2

Coverage vector

measured 55 of 55 reference resolution

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measured 56 of 56 standing notices

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measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

55 of 55 outbound references displayed

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External citation measurements

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Outbound references

Observation 62200efb-c382-4af5-b173-00fd4b980f5d · outbound

This paper cites Sanity checks for saliency maps.

Derivative-Free Diffusion Manifold-Constrained Gradient for Unified XAI Sanity checks for saliency maps

Reference 1

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Observation 9b81fbd7-5300-4bfb-ad8f-94da1d7c7dae · outbound

This paper cites Concrete Problems in AI Safety.

Derivative-Free Diffusion Manifold-Constrained Gradient for Unified XAI Concrete Problems in AI Safety

Reference 2

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Observation fddc81bd-f3a2-487e-8732-f11ab2ce46e8 · outbound

This paper cites Towards better understanding of gradient-based attri- bution methods for deep neural networks, 2018.

Derivative-Free Diffusion Manifold-Constrained Gradient for Unified XAI Towards better understanding of gradient-based attri- bution methods for deep neural networks, 2018

Reference 3

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Observation 4c0c839f-335a-41e1-bef3-89c512dc346d · outbound

This paper cites Diffusion visual counterfactual explana- tions, 2022.

Derivative-Free Diffusion Manifold-Constrained Gradient for Unified XAI Diffusion visual counterfactual explana- tions, 2022

Reference 4

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Observation 3fb916d2-a310-4575-9d02-ba462f72cbd3 · outbound

This paper cites Explainable ai in medical imaging: An overview for clinical practitioners–beyond saliency-based xai approaches.

Derivative-Free Diffusion Manifold-Constrained Gradient for Unified XAI Explainable ai in medical imaging: An overview for clinical practitioners–beyond saliency-based xai approaches

Reference 5

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Observation 89ff8383-af1d-49f4-9dd0-d386f9ce463f · outbound

This paper cites Explainable medical imaging ai needs human-centered design: guidelines and evidence from a sys- tematic review.

Derivative-Free Diffusion Manifold-Constrained Gradient for Unified XAI Explainable medical imaging ai needs human-centered design: guidelines and evidence from a sys- tematic review

Reference 6

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Observation 911cfd56-a700-4080-823c-faf667ac92ef · outbound

This paper cites Improving diffusion models for inverse prob- lems using manifold constraints.

Derivative-Free Diffusion Manifold-Constrained Gradient for Unified XAI Improving diffusion models for inverse prob- lems using manifold constraints

Reference 7

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Observation 3cc0b30a-1611-4756-a2de-10e3d4757d86 · outbound

This paper cites Diffusion pos- terior sampling for general noisy inverse problems.

Derivative-Free Diffusion Manifold-Constrained Gradient for Unified XAI Diffusion pos- terior sampling for general noisy inverse problems

Reference 8

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Observation 0aa1de59-882c-4e8c-98ed-0bbcd41efdea · outbound

This paper cites De- composed diffusion sampler for accelerating large-scale in- verse problems.

Derivative-Free Diffusion Manifold-Constrained Gradient for Unified XAI De- composed diffusion sampler for accelerating large-scale in- verse problems

Reference 9

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Observation 356c0e74-6092-4323-9581-cdfea30df66c · outbound

This paper cites Costa, Tiago Roxo, Hugo Proenc ¸a, and Pedro Ri- cardo Morais In ´acio.

Derivative-Free Diffusion Manifold-Constrained Gradient for Unified XAI Costa, Tiago Roxo, Hugo Proenc ¸a, and Pedro Ri- cardo Morais In ´acio

Reference 10

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Observation 35e47fcc-20c1-4518-b829-267c9542e293 · outbound

This paper cites Imagenet: A large-scale hierarchical image database.

Derivative-Free Diffusion Manifold-Constrained Gradient for Unified XAI Imagenet: A large-scale hierarchical image database

Reference 11

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Observation 43fa81dc-40fa-4721-8afd-a06bd4e08e98 · outbound

This paper cites Diffusion models beat GANs on image synthesis.

Derivative-Free Diffusion Manifold-Constrained Gradient for Unified XAI Diffusion models beat GANs on image synthesis

Reference 12

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This paper cites Gerken, Klaus-Robert M¨uller, and Pan Kessel.

Derivative-Free Diffusion Manifold-Constrained Gradient for Unified XAI Gerken, Klaus-Robert M¨uller, and Pan Kessel

Reference 13

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Observation dde796b9-7680-4c75-b625-1318a488f884 · outbound

This paper cites Tweedie’s formula and selection bias.

Derivative-Free Diffusion Manifold-Constrained Gradient for Unified XAI Tweedie’s formula and selection bias

Reference 14

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Observation d2494d4e-7e2e-4fde-b807-351f5e81c241 · outbound

This paper cites Latent Diffusion Counterfactual Explanations.

Derivative-Free Diffusion Manifold-Constrained Gradient for Unified XAI Latent Diffusion Counterfactual Explanations

Reference 15

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Observation 33278741-b586-4c26-9c6f-e9f15b1295fc · outbound

This paper cites Explaining and Harnessing Adversarial Examples.

Derivative-Free Diffusion Manifold-Constrained Gradient for Unified XAI Explaining and Harnessing Adversarial Examples

Reference 16

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Observation 3da287d3-69cd-4eb2-9e74-0fe22d36c6af · outbound

This paper cites Deep residual learning for image recognition.

Derivative-Free Diffusion Manifold-Constrained Gradient for Unified XAI Deep residual learning for image recognition

Reference 17

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Observation 6e308c06-2f86-49ef-b98d-05ae4201e7ff · outbound

This paper cites Gans trained by a two time-scale update rule converge to a local nash equilib- rium.

Derivative-Free Diffusion Manifold-Constrained Gradient for Unified XAI Gans trained by a two time-scale update rule converge to a local nash equilib- rium

Reference 18

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This paper cites Denoising diffu- sion probabilistic models.

Derivative-Free Diffusion Manifold-Constrained Gradient for Unified XAI Denoising diffu- sion probabilistic models

Reference 19

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This paper cites Explain- ing explanations: Axiomatic feature interactions for deep networks.

Derivative-Free Diffusion Manifold-Constrained Gradient for Unified XAI Explain- ing explanations: Axiomatic feature interactions for deep networks

Reference 20

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Observation 77c80646-223c-469d-b9c5-a5411ccfef6e · outbound

This paper cites Diffu- sion models for counterfactual explanations.

Derivative-Free Diffusion Manifold-Constrained Gradient for Unified XAI Diffu- sion models for counterfactual explanations

Reference 21

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This paper cites Ad- versarial counterfactual visual explanations, 2023.

Derivative-Free Diffusion Manifold-Constrained Gradient for Unified XAI Ad- versarial counterfactual visual explanations, 2023

Reference 22

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This paper cites Mimic-cxr, a de- identified publicly available database of chest radiographs with free-text reports.

Derivative-Free Diffusion Manifold-Constrained Gradient for Unified XAI Mimic-cxr, a de- identified publicly available database of chest radiographs with free-text reports

Reference 23

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Observation a1362af1-a04d-4627-bd8b-5b7fa93cf3f4 · outbound

This paper cites Guided integrated gradients: An adaptive path method for remov- ing noise.

Derivative-Free Diffusion Manifold-Constrained Gradient for Unified XAI Guided integrated gradients: An adaptive path method for remov- ing noise

Reference 24

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Observation 6731bff3-0455-4584-9aa5-d3d7e167dfaf · outbound

This paper cites Elucidating the design space of diffusion-based generative models.

Derivative-Free Diffusion Manifold-Constrained Gradient for Unified XAI Elucidating the design space of diffusion-based generative models

Reference 25

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This paper cites A primer on zeroth-order optimization in signal processing and machine learning: Principals, recent advances, and applications.IEEE Signal Processing Magazine, 37(5):43–54, 2020.

Derivative-Free Diffusion Manifold-Constrained Gradient for Unified XAI A primer on zeroth-order optimization in signal processing and machine learning: Principals, recent advances, and applications.IEEE Signal Processing Magazine, 37(5):43–54, 2020

Reference 26

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This paper cites A unified approach to interpreting model predictions.

Derivative-Free Diffusion Manifold-Constrained Gradient for Unified XAI A unified approach to interpreting model predictions

Reference 27

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This paper cites SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations.

Derivative-Free Diffusion Manifold-Constrained Gradient for Unified XAI SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations

Reference 28

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Observation accc7c99-f160-45a1-bedc-b9b935396f21 · outbound

This paper cites Investigating Saturation Effects in Integrated Gradients.

Derivative-Free Diffusion Manifold-Constrained Gradient for Unified XAI Investigating Saturation Effects in Integrated Gradients

Reference 29

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Derivative-Free Diffusion Manifold-Constrained Gradient for Unified XAI Unresolved cited work

Reference 30

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This paper cites Random gradient- free minimization of convex functions.

Derivative-Free Diffusion Manifold-Constrained Gradient for Unified XAI Random gradient- free minimization of convex functions

Reference 31

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Observation 7daaa7e8-f864-4680-b16d-7c3ba287a2ae · outbound

This paper cites Barron, and Ben Milden- hall.

Derivative-Free Diffusion Manifold-Constrained Gradient for Unified XAI Barron, and Ben Milden- hall

Reference 32

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

Derivative-Free Diffusion Manifold-Constrained Gradient for Unified XAI High-resolution image synthesis with latent diffusion models

Reference 33

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This paper cites A Consistent and Efficient Evaluation Strategy for Attribution Methods.

Derivative-Free Diffusion Manifold-Constrained Gradient for Unified XAI A Consistent and Efficient Evaluation Strategy for Attribution Methods

Reference 34

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Derivative-Free Diffusion Manifold-Constrained Gradient for Unified XAI Explainable Artificial Intelligence: Understanding, Visualizing and Interpreting Deep Learning Models

Reference 35

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Derivative-Free Diffusion Manifold-Constrained Gradient for Unified XAI Image synthesis with a single (robust) classifier

Reference 36

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This paper cites Analysis of the ensemble kalman filter for inverse problems.

Derivative-Free Diffusion Manifold-Constrained Gradient for Unified XAI Analysis of the ensemble kalman filter for inverse problems

Reference 37

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This paper cites Selvaraju, Michael Cogswell, Abhishek Das, Ramakrishna Vedantam, Devi Parikh, and Dhruv Ba- tra.

Derivative-Free Diffusion Manifold-Constrained Gradient for Unified XAI Selvaraju, Michael Cogswell, Abhishek Das, Ramakrishna Vedantam, Devi Parikh, and Dhruv Ba- tra

Reference 38

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This paper cites Not Just a Black Box: Learning Important Features Through Propagating Activation Differences.

Derivative-Free Diffusion Manifold-Constrained Gradient for Unified XAI Not Just a Black Box: Learning Important Features Through Propagating Activation Differences

Reference 39

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This paper cites Learning important features through propagating activation differences, 2019.

Derivative-Free Diffusion Manifold-Constrained Gradient for Unified XAI Learning important features through propagating activation differences, 2019

Reference 40

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This paper cites Diffusion Models as Data Mining Tools.

Derivative-Free Diffusion Manifold-Constrained Gradient for Unified XAI Diffusion Models as Data Mining Tools

Reference 41

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This paper cites Integrated directional gradients: Feature interaction attribu- tion for neural nlp models.

Derivative-Free Diffusion Manifold-Constrained Gradient for Unified XAI Integrated directional gradients: Feature interaction attribu- tion for neural nlp models

Reference 42

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This paper cites Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps.

Derivative-Free Diffusion Manifold-Constrained Gradient for Unified XAI Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps

Reference 43

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This paper cites Denois- ing diffusion implicit models.

Derivative-Free Diffusion Manifold-Constrained Gradient for Unified XAI Denois- ing diffusion implicit models

Reference 44

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Derivative-Free Diffusion Manifold-Constrained Gradient for Unified XAI Pseudoinverse-guided diffusion models for inverse problems

Reference 45

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This paper cites Kingma, Ab- hishek Kumar, Stefano Ermon, and Ben Poole.

Derivative-Free Diffusion Manifold-Constrained Gradient for Unified XAI Kingma, Ab- hishek Kumar, Stefano Ermon, and Ben Poole

Reference 46

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This paper cites Striving for simplicity: The all convolutional net, 2015.

Derivative-Free Diffusion Manifold-Constrained Gradient for Unified XAI Striving for simplicity: The all convolutional net, 2015

Reference 47

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This paper cites Visualiz- ing the impact of feature attribution baselines.

Derivative-Free Diffusion Manifold-Constrained Gradient for Unified XAI Visualiz- ing the impact of feature attribution baselines

Reference 48

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This paper cites Axiomatic attribution for deep networks.

Derivative-Free Diffusion Manifold-Constrained Gradient for Unified XAI Axiomatic attribution for deep networks

Reference 49

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Observation 9a50d81b-fcb8-4097-8982-577bfa622eb2 · outbound

This paper cites Intriguing properties of neural networks.

Derivative-Free Diffusion Manifold-Constrained Gradient for Unified XAI Intriguing properties of neural networks

Reference 50

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This paper cites Counterfactual Explanations and Algorithmic Recourses for Machine Learning: A Review.

Derivative-Free Diffusion Manifold-Constrained Gradient for Unified XAI Counterfactual Explanations and Algorithmic Recourses for Machine Learning: A Review

Reference 51

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This paper cites Gra- dient based feature attribution in explainable ai: A technical review, 2024.

Derivative-Free Diffusion Manifold-Constrained Gradient for Unified XAI Gra- dient based feature attribution in explainable ai: A technical review, 2024

Reference 52

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This paper cites Attribution in scale and space.

Derivative-Free Diffusion Manifold-Constrained Gradient for Unified XAI Attribution in scale and space

Reference 53

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This paper cites Visualizing and under- standing convolutional networks, 2013.

Derivative-Free Diffusion Manifold-Constrained Gradient for Unified XAI Visualizing and under- standing convolutional networks, 2013

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:52:47.500926Z

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Observation 53ccca6e-38e2-450c-95dd-2a7e67845543 · outbound

This paper cites Ensemble Kalman Diffusion Guidance: A Derivative-free Method for Inverse Problems.

Derivative-Free Diffusion Manifold-Constrained Gradient for Unified XAI Ensemble Kalman Diffusion Guidance: A Derivative-free Method for Inverse Problems

Reference 55

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Pith citing papers

Observation 899a75fb-8231-4754-86c5-88ca3345bb48 · inbound

Blade: A Derivative-free Bayesian Inversion Method using Diffusion Priors cites this paper.

Blade: A Derivative-free Bayesian Inversion Method using Diffusion Priors Derivative-Free Diffusion Manifold-Constrained Gradient for Unified XAI

Reference 2022

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