Diffusion Counterfactual Generation with Semantic Abduction | Paper Citation Record

Observation 30e90e68-5b38-4052-878a-da9e75b072d5 · outbound

This paper cites write newline.

Diffusion Counterfactual Generation with Semantic Abduction write newline

Reference 1

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Observation e8a784a3-faaf-4948-9b9a-f149bf4e3c2c · outbound

This paper cites Diffusion-Based Representation Learning.

Diffusion Counterfactual Generation with Semantic Abduction Diffusion-Based Representation Learning

Reference 2

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Observation bf4a4746-edbb-4325-878f-f6b56a7b56a3 · outbound

This paper cites Scaling in-the-wild training for diffusion-based illumination harmonization and editing by imposing consistent light transport.

Diffusion Counterfactual Generation with Semantic Abduction Scaling in-the-wild training for diffusion-based illumination harmonization and editing by imposing consistent light transport

Reference 3

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Observation ecc76c88-3951-4f8f-adc5-83fcdd79cba7 · outbound

This paper cites Counterfactual Explanations for Medical Image Classification and Regression using Diffusion Autoencoder.

Diffusion Counterfactual Generation with Semantic Abduction Counterfactual Explanations for Medical Image Classification and Regression using Diffusion Autoencoder

Reference 4

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Observation f748b7f2-85ff-427d-9797-f8472a2bf781 · outbound

This paper cites Diffusion visual counterfactual explanations.

Diffusion Counterfactual Generation with Semantic Abduction Diffusion visual counterfactual explanations

Reference 5

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Observation 8cee7021-8927-49ed-8c21-35e2c8bf6215 · outbound

This paper cites D., Ibeling, D., and Icard, T.

Diffusion Counterfactual Generation with Semantic Abduction D., Ibeling, D., and Icard, T

Reference 6

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Observation 4e7303ca-855a-4a34-96a6-1faab49ec6b1 · outbound

This paper cites Variational Diffusion Auto-encoder: Latent Space Extraction from Pre-trained Diffusion Models.

Diffusion Counterfactual Generation with Semantic Abduction Variational Diffusion Auto-encoder: Latent Space Extraction from Pre-trained Diffusion Models

Reference 7

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Observation a75d5a2e-384b-4a74-a16a-02abec04a494 · outbound

This paper cites Understanding disentangling in $\beta$-VAE.

Diffusion Counterfactual Generation with Semantic Abduction Understanding disentangling in $\beta$-VAE

Reference 8

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Observation 1e446699-3f2d-4e4b-b478-a9550f6dd0f9 · outbound

This paper cites C., Tan, J., Kainz, B., Konukoglu, E., and Glocker, B.

Diffusion Counterfactual Generation with Semantic Abduction C., Tan, J., Kainz, B., Konukoglu, E., and Glocker, B

Reference 9

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Observation 6199e330-a9e7-40d0-aaf4-0cf0049a10b7 · outbound

This paper cites Modeling Causal Mechanisms with Diffusion Models for Interventional and Counterfactual Queries.

Diffusion Counterfactual Generation with Semantic Abduction Modeling Causal Mechanisms with Diffusion Models for Interventional and Counterfactual Queries

Reference 10

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Observation 23ee4dc3-1c13-474d-87ea-5be4de713202 · outbound

This paper cites Generalizable single-source cross-modality medical image segmentation via invariant causal mechanisms.

Diffusion Counterfactual Generation with Semantic Abduction Generalizable single-source cross-modality medical image segmentation via invariant causal mechanisms

Reference 11

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Observation 58e44662-ef19-43b3-874f-2e2a93f705d8 · outbound

This paper cites Q., Li, X., Grosse, R., and Duvenaud, D.

Diffusion Counterfactual Generation with Semantic Abduction Q., Li, X., Grosse, R., and Duvenaud, D

Reference 12

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Observation 093032c9-6e69-4254-aa1b-5aa639db85cc · outbound

This paper cites Infogan: Interpretable representation learning by information maximizing generative adversarial nets.

Diffusion Counterfactual Generation with Semantic Abduction Infogan: Interpretable representation learning by information maximizing generative adversarial nets

Reference 13

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Observation 790e82d5-096c-4a77-a0d5-4c3deddf8020 · outbound

This paper cites Very Deep VAEs Generalize Autoregressive Models and Can Outperform Them on Images.

Diffusion Counterfactual Generation with Semantic Abduction Very Deep VAEs Generalize Autoregressive Models and Can Outperform Them on Images

Reference 14

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Observation c3de7317-af70-4d0a-bdb1-39aa35e51e03 · outbound

This paper cites Enhanced Controllability of Diffusion Models via Feature Disentanglement and Realism-Enhanced Sampling Methods.

Diffusion Counterfactual Generation with Semantic Abduction Enhanced Controllability of Diffusion Models via Feature Disentanglement and Realism-Enhanced Sampling Methods

Reference 15

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Observation 890997ab-001f-42e2-a30e-6535308e24ba · outbound

This paper cites CFG++: Manifold-constrained Classifier Free Guidance for Diffusion Models.

Diffusion Counterfactual Generation with Semantic Abduction CFG++: Manifold-constrained Classifier Free Guidance for Diffusion Models

Reference 16

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Observation 36846969-7fc5-4b86-9c5a-93b2eae27cd2 · outbound

This paper cites and Jaini, P.

Diffusion Counterfactual Generation with Semantic Abduction and Jaini, P

Reference 17

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Observation 7befb498-bd25-48b8-ba49-2b63a8f8c0bf · outbound

This paper cites DiffEdit: Diffusion-based semantic image editing with mask guidance.

Diffusion Counterfactual Generation with Semantic Abduction DiffEdit: Diffusion-based semantic image editing with mask guidance

Reference 18

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Observation e0c53514-4c33-4514-87d1-1a54a6abe9fc · outbound

This paper cites N., and Sharma, A.

Diffusion Counterfactual Generation with Semantic Abduction N., and Sharma, A

Reference 19

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Observation 68c4d36a-bd89-4e56-9680-4c115f2fad0d · outbound

This paper cites High fidelity image counterfactuals with probabilistic causal models.

Diffusion Counterfactual Generation with Semantic Abduction High fidelity image counterfactuals with probabilistic causal models

Reference 20

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Observation 910dff33-e2f4-42f3-874c-8bf4baf11162 · outbound

This paper cites and Nichol, A.

Diffusion Counterfactual Generation with Semantic Abduction and Nichol, A

Reference 21

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Observation 2fe05221-76b6-4b7f-9492-e20814a76ec0 · outbound

This paper cites Rethinking conditional diffusion sampling with progressive guidance.

Diffusion Counterfactual Generation with Semantic Abduction Rethinking conditional diffusion sampling with progressive guidance

Reference 22

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Observation 4c8cb0dd-5741-4a35-8467-5dc550bda848 · outbound

This paper cites Diffusion self-guidance for controllable image generation.

Diffusion Counterfactual Generation with Semantic Abduction Diffusion self-guidance for controllable image generation

Reference 23

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Observation 7437d501-feca-4417-85a6-69cdebc8d3d6 · outbound

This paper cites Diffexplainer: Unveiling black box models via counterfactual generation.

Diffusion Counterfactual Generation with Semantic Abduction Diffexplainer: Unveiling black box models via counterfactual generation

Reference 24

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Observation d7bc704d-17fc-49f2-9efa-ef148fcab3a7 · outbound

This paper cites An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion.

Diffusion Counterfactual Generation with Semantic Abduction An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion

Reference 25

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Observation 2a8fc3e9-01cd-4cdc-a948-37ce94568718 · outbound

This paper cites and Pearl, J.

Diffusion Counterfactual Generation with Semantic Abduction and Pearl, J

Reference 26

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Observation e97fd2ea-f2ef-4234-92b5-dacb7e579fe4 · outbound

This paper cites an unresolved cited work.

Diffusion Counterfactual Generation with Semantic Abduction Unresolved cited work

Reference 27

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Observation be729dfd-4021-44ae-8de5-7056d65a5be1 · outbound

This paper cites Generative adversarial nets.

Diffusion Counterfactual Generation with Semantic Abduction Generative adversarial nets

Reference 28

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Observation 6cea289a-b0bc-4f45-980b-de644a25b08e · outbound

This paper cites BiomedJourney: Counterfactual Biomedical Image Generation by Instruction-Learning from Multimodal Patient Journeys.

Diffusion Counterfactual Generation with Semantic Abduction BiomedJourney: Counterfactual Biomedical Image Generation by Instruction-Learning from Multimodal Patient Journeys

Reference 29

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Observation ebe661f4-5a34-487b-8f8c-405109726b05 · outbound

This paper cites S., and Michaeli, T.

Diffusion Counterfactual Generation with Semantic Abduction S., and Michaeli, T

Reference 30

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Observation e41248f5-338d-409f-a69d-706db5c2ee0a · outbound

This paper cites an unresolved cited work.

Diffusion Counterfactual Generation with Semantic Abduction Unresolved cited work

Reference 31

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Observation 56b77621-b5f8-4a7b-9417-ebc486814b85 · outbound

This paper cites Prompt-to-Prompt Image Editing with Cross Attention Control.

Diffusion Counterfactual Generation with Semantic Abduction Prompt-to-Prompt Image Editing with Cross Attention Control

Reference 32

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Observation 75ae4d2e-b908-4de0-8580-d8f7dd20dbe4 · outbound

This paper cites beta- VAE : Learning basic visual concepts with a constrained variational framework.

Diffusion Counterfactual Generation with Semantic Abduction beta- VAE : Learning basic visual concepts with a constrained variational framework

Reference 33

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Observation 0b1b84e3-bddd-4ef3-9d0d-e9e5160e3e8e · outbound

This paper cites Classifier-Free Diffusion Guidance.

Diffusion Counterfactual Generation with Semantic Abduction Classifier-Free Diffusion Guidance

Reference 34

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Observation 967c713a-af2a-44b1-a9be-f41d7078d257 · outbound

This paper cites Denoising diffusion probabilistic models.

Diffusion Counterfactual Generation with Semantic Abduction Denoising diffusion probabilistic models

Reference 35

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Observation 3b078bde-f0ab-4749-be3b-ba12dc5c3582 · outbound

This paper cites Enforcing conditional independence for fair representation learning and causal image generation.

Diffusion Counterfactual Generation with Semantic Abduction Enforcing conditional independence for fair representation learning and causal image generation

Reference 36

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This paper cites and Morioka, H.

Diffusion Counterfactual Generation with Semantic Abduction and Morioka, H

Reference 37

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Observation 655b707b-d8c4-4ab5-bced-ecec8be35e81 · outbound

This paper cites Nonlinear ica using auxiliary variables and generalized contrastive learning.

Diffusion Counterfactual Generation with Semantic Abduction Nonlinear ica using auxiliary variables and generalized contrastive learning

Reference 38

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Observation 23cac599-3583-4d2d-9ec6-67c62910db9f · outbound

This paper cites Semi-Supervised Learning for Deep Causal Generative Models.

Diffusion Counterfactual Generation with Semantic Abduction Semi-Supervised Learning for Deep Causal Generative Models

Reference 39

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Observation e282aa60-062c-4069-b8c5-93240bb5386a · outbound

This paper cites Intriguing properties of generative classifiers.

Diffusion Counterfactual Generation with Semantic Abduction Intriguing properties of generative classifiers

Reference 40

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Observation f5f83968-50cf-437b-8f37-6823ae5e5219 · outbound

This paper cites The EMory BrEast imaging Dataset (EMBED): A Racially Diverse, Granular Dataset of 3.5M Screening and Diagnostic Mammograms.

Diffusion Counterfactual Generation with Semantic Abduction The EMory BrEast imaging Dataset (EMBED): A Racially Diverse, Granular Dataset of 3.5M Screening and Diagnostic Mammograms

Reference 41

Resolution: verified exact; local_arxiv, observed 2026-08-07T05:30:33.586460Z

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Observation ee625c37-5ec2-4f0c-af5c-427bf8e3fa10 · outbound

This paper cites Progressive Growing of GANs for Improved Quality, Stability, and Variation.

Diffusion Counterfactual Generation with Semantic Abduction Progressive Growing of GANs for Improved Quality, Stability, and Variation

Reference 42

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Observation 342538b6-05b3-413b-9bdc-270a51f11a05 · outbound

This paper cites A Style-Based Generator Architecture for Generative Adversarial Networks.

Diffusion Counterfactual Generation with Semantic Abduction A Style-Based Generator Architecture for Generative Adversarial Networks

Reference 43

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Observation 934de77d-2ff8-44ba-a766-aa8360131fe2 · outbound

This paper cites Analyzing and improving the image quality of stylegan.

Diffusion Counterfactual Generation with Semantic Abduction Analyzing and improving the image quality of stylegan

Reference 44

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Observation dd2ec8c7-1231-486c-9938-dbd840586b07 · outbound

This paper cites Guiding a Diffusion Model with a Bad Version of Itself.

Diffusion Counterfactual Generation with Semantic Abduction Guiding a Diffusion Model with a Bad Version of Itself

Reference 45

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Observation 112b9c0d-08b7-4a8c-b1fe-53f61bc942e0 · outbound

This paper cites Variational autoencoders and nonlinear ica: A unifying framework.

Diffusion Counterfactual Generation with Semantic Abduction Variational autoencoders and nonlinear ica: A unifying framework

Reference 46

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Observation 54983af9-cfd1-4e92-b823-d3af259af68f · outbound

This paper cites Ice-beem: Identifiable conditional energy-based deep models based on nonlinear ica.

Diffusion Counterfactual Generation with Semantic Abduction Ice-beem: Identifiable conditional energy-based deep models based on nonlinear ica

Reference 47

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Observation 6591b86d-03b6-48aa-a2d2-5a8144c08c1f · outbound

This paper cites and Mnih, A.

Diffusion Counterfactual Generation with Semantic Abduction and Mnih, A

Reference 48

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Observation 3f5550f7-2026-4c9e-88b5-11b7119d2a2b · outbound

This paper cites Auto-Encoding Variational Bayes.

Diffusion Counterfactual Generation with Semantic Abduction Auto-Encoding Variational Bayes

Reference 49

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This paper cites Adam: A Method for Stochastic Optimization.

Diffusion Counterfactual Generation with Semantic Abduction Adam: A Method for Stochastic Optimization

Reference 50

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Observation 7c6343c7-e052-47f2-bf23-48146a08f613 · outbound

This paper cites Deep Backtracking Counterfactuals for Causally Compliant Explanations.

Diffusion Counterfactual Generation with Semantic Abduction Deep Backtracking Counterfactuals for Causally Compliant Explanations

Reference 51

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Observation 35bdfc03-d791-4faa-bcd7-fed38bf8895c · outbound

This paper cites CausalGAN: Learning Causal Implicit Generative Models with Adversarial Training.

Diffusion Counterfactual Generation with Semantic Abduction CausalGAN: Learning Causal Implicit Generative Models with Adversarial Training

Reference 52

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Observation 6fcca39e-f30c-4c00-91dd-274bdbe60975 · outbound

This paper cites From Identifiable Causal Representations to Controllable Counterfactual Generation: A Survey on Causal Generative Modeling.

Diffusion Counterfactual Generation with Semantic Abduction From Identifiable Causal Representations to Controllable Counterfactual Generation: A Survey on Causal Generative Modeling

Reference 53

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This paper cites Causal Diffusion Autoencoders: Toward Counterfactual Generation via Diffusion Probabilistic Models.

Diffusion Counterfactual Generation with Semantic Abduction Causal Diffusion Autoencoders: Toward Counterfactual Generation via Diffusion Probabilistic Models

Reference 54

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Observation 78869e15-6c01-44c5-9a61-13e117175bc2 · outbound

This paper cites Variational inference of disentangled latent concepts from unlabeled observations.

Diffusion Counterfactual Generation with Semantic Abduction Variational inference of disentangled latent concepts from unlabeled observations

Reference 55

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This paper cites Identifying through Flows for Recovering Latent Representations.

Diffusion Counterfactual Generation with Semantic Abduction Identifying through Flows for Recovering Latent Representations

Reference 56

Resolution: verified exact; local_arxiv, observed 2026-08-07T05:30:33.519290Z

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Observation ceb7d772-5401-4c33-bf5c-f42ed190df02 · outbound

This paper cites Common diffusion noise schedules and sample steps are flawed.

Diffusion Counterfactual Generation with Semantic Abduction Common diffusion noise schedules and sample steps are flawed

Reference 57

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Observation 4db185a5-b38a-4a3b-a1be-e1833c2feb56 · outbound

This paper cites R., and Hand, E.

Diffusion Counterfactual Generation with Semantic Abduction R., and Hand, E

Reference 58

Resolution: verified exact; doi, observed 2026-08-07T05:30:33.250613Z

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Observation 428931bb-2fa8-4f7b-8bad-5023365cd1b3 · outbound

This paper cites Deep learning face attributes in the wild.

Diffusion Counterfactual Generation with Semantic Abduction Deep learning face attributes in the wild

Reference 59

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This paper cites Challenging common assumptions in the unsupervised learning of disentangled representations.

Diffusion Counterfactual Generation with Semantic Abduction Challenging common assumptions in the unsupervised learning of disentangled representations

Reference 60

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Observation 54b89253-f7d2-462e-af93-008b95c728f8 · outbound

This paper cites a tsch, G., Gelly, S., Sch \.

Diffusion Counterfactual Generation with Semantic Abduction a tsch, G., Gelly, S., Sch \

Reference 61

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Observation 5cfa60e4-dc5f-4d7b-8094-02c2a7cb0cf9 · outbound

This paper cites Understanding Diffusion Models: A Unified Perspective.

Diffusion Counterfactual Generation with Semantic Abduction Understanding Diffusion Models: A Unified Perspective

Reference 62

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Observation 7f75463c-f06d-4bc2-976a-48276a1d6ab6 · outbound

This paper cites Benchmarking Counterfactual Image Generation.

Diffusion Counterfactual Generation with Semantic Abduction Benchmarking Counterfactual Image Generation

Reference 63

Resolution: verified exact; local_arxiv, observed 2026-08-07T05:30:33.503007Z

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Observation b52af726-3e29-4590-aa70-7941e9833b78 · outbound

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

Diffusion Counterfactual Generation with Semantic Abduction SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations

Reference 64

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Observation 84370d5d-c7a0-49a4-9a3e-7dd7393ee5b1 · outbound

This paper cites Conditional Generative Adversarial Nets.

Diffusion Counterfactual Generation with Semantic Abduction Conditional Generative Adversarial Nets

Reference 65

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Observation 72de0fc0-b0e4-45c3-a209-5a4c47676f98 · outbound

This paper cites Diffusion based representation learning.

Diffusion Counterfactual Generation with Semantic Abduction Diffusion based representation learning

Reference 66

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Observation 23aadba9-498f-4ecf-9a4d-ffe6b4ae9ad9 · outbound

This paper cites Null-text inversion for editing real images using guided diffusion models.

Diffusion Counterfactual Generation with Semantic Abduction Null-text inversion for editing real images using guided diffusion models

Reference 67

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Observation d09eb677-8f49-4dac-b707-d77b8c5fd65c · outbound

This paper cites Measuring axiomatic soundness of counterfactual image models.

Diffusion Counterfactual Generation with Semantic Abduction Measuring axiomatic soundness of counterfactual image models

Reference 68

Resolution: verified exact; local_arxiv, observed 2026-08-07T05:30:33.481727Z

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Observation 2a8a96ed-559d-49b4-8611-b7bddf7d682d · outbound

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

Diffusion Counterfactual Generation with Semantic Abduction GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models

Reference 69

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Observation 26ea4e0e-0624-403f-9546-974211296747 · outbound

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Diffusion Counterfactual Generation with Semantic Abduction Unresolved cited work

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-07T05:30:33.016779Z

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Observation 67010fd5-34a0-414c-8a50-e22b28408047 · outbound

This paper cites Counterfactual Image Editing.

Diffusion Counterfactual Generation with Semantic Abduction Counterfactual Image Editing

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-07T05:30:33.019440Z

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Observation 6b83a92d-5397-4459-b2fc-41d69d86a92d · outbound

This paper cites DiffuseVAE: Efficient, Controllable and High-Fidelity Generation from Low-Dimensional Latents.

Diffusion Counterfactual Generation with Semantic Abduction DiffuseVAE: Efficient, Controllable and High-Fidelity Generation from Low-Dimensional Latents

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-07T05:30:33.022165Z

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Observation d346d8f8-2f06-4883-9f56-5fe6fce78d0e · outbound

This paper cites J., Mohamed, S., and Lakshminarayanan, B.

Diffusion Counterfactual Generation with Semantic Abduction J., Mohamed, S., and Lakshminarayanan, B

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-07T05:30:33.024901Z

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Observation 12331d2b-ae5f-475f-969b-28d9a94042d4 · outbound

This paper cites Understanding the latent space of diffusion models through the lens of riemannian geometry.

Diffusion Counterfactual Generation with Semantic Abduction Understanding the latent space of diffusion models through the lens of riemannian geometry

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-07T05:30:33.027450Z

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Observation 6191e867-1a73-49d8-a6e0-ddbb705e8a28 · outbound

This paper cites Zero-shot image-to-image translation.

Diffusion Counterfactual Generation with Semantic Abduction Zero-shot image-to-image translation

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-07T05:30:33.030456Z

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Observation 058de0cd-5e4d-4a2a-a07b-a0e24bca3e4f · outbound

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Diffusion Counterfactual Generation with Semantic Abduction Deep structural causal models for tractable counterfactual inference

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-07T05:30:33.033170Z

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Observation e448acf9-b81c-4094-a99e-a96f5143932f · outbound

This paper cites Direct and indirect effects.

Diffusion Counterfactual Generation with Semantic Abduction Direct and indirect effects

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-07T05:30:33.035843Z

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Observation 86a63bcd-6b12-48d0-b532-1d8c1ebcd1a9 · outbound

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Diffusion Counterfactual Generation with Semantic Abduction Causality

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-07T05:30:33.038422Z

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Observation 7a32608f-8c7d-49a5-a30c-7fb99dcc9316 · outbound

This paper cites The seven tools of causal inference, with reflections on machine learning.

Diffusion Counterfactual Generation with Semantic Abduction The seven tools of causal inference, with reflections on machine learning

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-07T05:30:33.041608Z

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Observation 85139b1a-e5a5-491a-acba-6bcf38ca6f78 · outbound

This paper cites The hessian penalty: A weak prior for unsupervised disentanglement.

Diffusion Counterfactual Generation with Semantic Abduction The hessian penalty: A weak prior for unsupervised disentanglement

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-07T05:30:33.044996Z

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Observation 7d991731-1a84-4c9b-8fcf-aee0703cd60f · outbound

This paper cites RadEdit: stress-testing biomedical vision models via diffusion image editing.

Diffusion Counterfactual Generation with Semantic Abduction RadEdit: stress-testing biomedical vision models via diffusion image editing

Reference 81

Resolution: metadata mismatch; local_arxiv, observed 2026-08-07T05:30:33.453797Z

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Observation d13530f3-19f2-4f32-99d9-c6da402e9705 · outbound

This paper cites Elements of Causal Inference: Foundations and Learning Algorithms.

Diffusion Counterfactual Generation with Semantic Abduction Elements of Causal Inference: Foundations and Learning Algorithms

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-07T05:30:33.050569Z

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Observation e919e4c3-095d-4ebd-9a98-8f55b161bfe5 · outbound

This paper cites SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis.

Diffusion Counterfactual Generation with Semantic Abduction SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-07T05:30:33.052998Z

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Observation 28c15bda-13c3-40e7-870a-ccb5ee207423 · outbound

This paper cites Learning Structural Causal Models through Deep Generative Models: Methods, Guarantees, and Challenges.

Diffusion Counterfactual Generation with Semantic Abduction Learning Structural Causal Models through Deep Generative Models: Methods, Guarantees, and Challenges

Reference 84

Resolution: verified exact; local_arxiv, observed 2026-08-07T05:30:33.438371Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 39a16a02-68b1-4ad5-8142-1d144ca7335f · outbound

This paper cites Lance: Stress-testing visual models by generating language-guided counterfactual images.

Diffusion Counterfactual Generation with Semantic Abduction Lance: Stress-testing visual models by generating language-guided counterfactual images

Reference 85

Resolution: unresolved; no resolver link, observed 2026-08-07T05:30:33.058940Z

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Observation 5ee0ecf5-d494-471c-a028-ca2594a1b75d · outbound

This paper cites Diffusion autoencoders: Toward a meaningful and decodable representation.

Diffusion Counterfactual Generation with Semantic Abduction Diffusion autoencoders: Toward a meaningful and decodable representation

Reference 86

Resolution: unresolved; no resolver link, observed 2026-08-07T05:30:33.061373Z

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Observation d4bd1f8b-53b4-4d5f-92f3-b122ba3ce446 · outbound

This paper cites Conditional Generative Models are Sufficient to Sample from Any Causal Effect Estimand.

Diffusion Counterfactual Generation with Semantic Abduction Conditional Generative Models are Sufficient to Sample from Any Causal Effect Estimand

Reference 87

Resolution: metadata mismatch; local_arxiv, observed 2026-08-07T05:30:33.428131Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8b33b950-7531-44f6-8c1b-8d983f9d8421 · outbound

This paper cites C., Pawlowski, N., and Glocker, B.

Diffusion Counterfactual Generation with Semantic Abduction C., Pawlowski, N., and Glocker, B

Reference 88

Resolution: unresolved; no resolver link, observed 2026-08-07T05:30:33.066537Z

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Observation 3ad028dd-421f-4473-979b-adecebf0e727 · outbound

This paper cites C., Oxtoby, N.

Diffusion Counterfactual Generation with Semantic Abduction C., Oxtoby, N

Reference 89

Resolution: unresolved; no resolver link, observed 2026-08-07T05:30:33.069581Z

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Observation 2df8ba2d-f48e-494e-aa68-1e79e6142c55 · outbound

This paper cites C., Carass, A., and Prince, J.

Diffusion Counterfactual Generation with Semantic Abduction C., Carass, A., and Prince, J

Reference 90

Resolution: unresolved; no resolver link, observed 2026-08-07T05:30:33.071802Z

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Observation 20106ec8-a4d0-4e1c-8695-2c6f9b5cb1be · outbound

This paper cites Taming VAEs.

Diffusion Counterfactual Generation with Semantic Abduction Taming VAEs

Reference 91

Resolution: unresolved; no resolver link, observed 2026-08-07T05:30:33.074153Z

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Observation f81ddf85-b2ef-4811-9e09-ba04e5c7e37e · outbound

This paper cites Demystifying Variational Diffusion Models.

Diffusion Counterfactual Generation with Semantic Abduction Demystifying Variational Diffusion Models

Reference 92

Resolution: verified exact; local_arxiv, observed 2026-08-07T05:30:33.412126Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1a920187-adc8-417a-85f7-8c022f3cae6d · outbound

This paper cites On linear identifiability of learned representations.

Diffusion Counterfactual Generation with Semantic Abduction On linear identifiability of learned representations

Reference 93

Resolution: unresolved; no resolver link, observed 2026-08-07T05:30:33.079735Z

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Observation 0f9ff5a7-43eb-4bf3-a1ca-30925cb96cc3 · outbound

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

Diffusion Counterfactual Generation with Semantic Abduction High-resolution image synthesis with latent diffusion models

Reference 94

Resolution: unresolved; no resolver link, observed 2026-08-07T05:30:33.082186Z

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Observation 5277f927-59a9-4bc4-9bc9-614c3b25330a · outbound

This paper cites U-net: Convolutional networks for biomedical image segmentation.

Diffusion Counterfactual Generation with Semantic Abduction U-net: Convolutional networks for biomedical image segmentation

Reference 95

Resolution: unresolved; no resolver link, observed 2026-08-07T05:30:33.084838Z

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Observation 0ee4e60c-7f33-408a-9040-b0e3d2d74f5d · outbound

This paper cites Counterfactual contrastive learning: robust representations via causal image synthesis.

Diffusion Counterfactual Generation with Semantic Abduction Counterfactual contrastive learning: robust representations via causal image synthesis

Reference 96

Resolution: unresolved; no resolver link, observed 2026-08-07T05:30:33.087088Z

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Observation d7f57118-08cf-437a-b9a8-fe33fdba0ad3 · outbound

This paper cites Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation.

Diffusion Counterfactual Generation with Semantic Abduction Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation

Reference 97

Resolution: unresolved; no resolver link, observed 2026-08-07T05:30:33.089512Z

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Observation 2612463d-5775-40b7-a206-226e4afa7019 · outbound

This paper cites L., Ghasemipour, K., Gontijo Lopes, R., Karagol Ayan, B., Salimans, T., et al.

Diffusion Counterfactual Generation with Semantic Abduction L., Ghasemipour, K., Gontijo Lopes, R., Karagol Ayan, B., Salimans, T., et al

Reference 98

Resolution: unresolved; no resolver link, observed 2026-08-07T05:30:33.091981Z

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Observation 8cbff646-3103-4fab-94aa-c3502b154016 · outbound

This paper cites Progressive Distillation for Fast Sampling of Diffusion Models.

Diffusion Counterfactual Generation with Semantic Abduction Progressive Distillation for Fast Sampling of Diffusion Models

Reference 99

Resolution: unresolved; no resolver link, observed 2026-08-07T05:30:33.094491Z

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Observation ea1111cc-477c-45bb-8dab-4beac5db9ed0 · outbound

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Diffusion Counterfactual Generation with Semantic Abduction Diffusion Causal Models for Counterfactual Estimation

Reference 100

Resolution: unresolved; no resolver link, observed 2026-08-07T05:30:33.096988Z

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