A Generative Framework for Causal Estimation via Importance-Weighted Diffusion Distillation | Paper Citation Record

Observation f741ed2d-e707-415f-a5d3-5b17bc7d15d1 · outbound

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

A Generative Framework for Causal Estimation via Importance-Weighted Diffusion Distillation Modeling Causal Mechanisms with Diffusion Models for Interventional and Counterfactual Queries

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-15T20:59:30.070421Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 56a3f03b-349d-43fd-b6ca-afb8b4d3e9bd · outbound

This paper cites Denoising Score Distillation: From Noisy Diffusion Pretraining to One-Step High-Quality Generation.

A Generative Framework for Causal Estimation via Importance-Weighted Diffusion Distillation Denoising Score Distillation: From Noisy Diffusion Pretraining to One-Step High-Quality Generation

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-15T20:59:30.076228Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 65e8a817-1dd0-4cf1-bb37-ad530aa20885 · outbound

This paper cites On Inductive Biases for Heterogeneous Treatment Effect Estimation.

A Generative Framework for Causal Estimation via Importance-Weighted Diffusion Distillation On Inductive Biases for Heterogeneous Treatment Effect Estimation

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-15T20:59:30.083098Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 751a2d60-6707-4828-afa0-ccbf0ed8c734 · outbound

This paper cites Nonparametric estimation of heterogeneous treatment effects: From theory to learning algorithms.

A Generative Framework for Causal Estimation via Importance-Weighted Diffusion Distillation Nonparametric estimation of heterogeneous treatment effects: From theory to learning algorithms

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:59:31.317571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 31d1536f-e046-4a3e-a84e-d3277bac4419 · outbound

This paper cites A First Course in Causal Inference.

A Generative Framework for Causal Estimation via Importance-Weighted Diffusion Distillation A First Course in Causal Inference

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-15T20:59:30.094715Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e8de9773-93bb-4cd6-8922-6be4664fcce7 · outbound

This paper cites Tweedie’s formula and selection bias.

A Generative Framework for Causal Estimation via Importance-Weighted Diffusion Distillation Tweedie’s formula and selection bias

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-15T20:59:30.100090Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 812d239a-8f99-49b1-94fd-45cd99458c48 · outbound

This paper cites an unresolved cited work.

A Generative Framework for Causal Estimation via Importance-Weighted Diffusion Distillation Unresolved cited work

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-15T20:59:30.106532Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 06a43f2f-a7c6-49e1-a96f-4c4dba82b3ce · outbound

This paper cites Card: Classification and regression diffusion models.

A Generative Framework for Causal Estimation via Importance-Weighted Diffusion Distillation Card: Classification and regression diffusion models

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:59:31.287632Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 0a1274b4-2b04-402c-b348-5152277fc138 · outbound

This paper cites Generalizing the intention-to-treat effect of an active control against placebo from historical placebo-controlled trials to an active-controlled trial: A case study of the efficacy of daily oral TDF/FTC in the HPTN 084 study.

A Generative Framework for Causal Estimation via Importance-Weighted Diffusion Distillation Generalizing the intention-to-treat effect of an active control against placebo from historical placebo-controlled trials to an active-controlled trial: A case study of the efficacy of daily oral TDF/FTC in the HPTN 084 study

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-08-15T20:59:30.870543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 6bbfc96d-e207-4916-b8b0-9e302d9112f7 · outbound

This paper cites Denoising Diffusion Probabilistic Models.

A Generative Framework for Causal Estimation via Importance-Weighted Diffusion Distillation Denoising Diffusion Probabilistic Models

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-15T20:59:30.122669Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7379e546-148b-4c28-91cc-c906439fcf38 · outbound

This paper cites an unresolved cited work.

A Generative Framework for Causal Estimation via Importance-Weighted Diffusion Distillation Unresolved cited work

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-15T20:59:30.128077Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 57b5c379-8c64-4da8-86eb-4e1c346b01a9 · outbound

This paper cites Imbens and Donald B.

A Generative Framework for Causal Estimation via Importance-Weighted Diffusion Distillation Imbens and Donald B

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:59:31.268476Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c020bb54-1933-45ce-995a-9d9940e06b7c · outbound

This paper cites D eep M atch: Balancing deep covariate representations for causal inference using adversarial training.

A Generative Framework for Causal Estimation via Importance-Weighted Diffusion Distillation D eep M atch: Balancing deep covariate representations for causal inference using adversarial training

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:59:31.250621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 282ce794-f7f7-46fc-9c85-79a115b0dc78 · outbound

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

A Generative Framework for Causal Estimation via Importance-Weighted Diffusion Distillation Elucidating the design space of diffusion-based generative models

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-15T20:59:30.143321Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 50655e2d-67b4-46e6-834a-3c77f08a5eb9 · outbound

This paper cites Towards optimal doubly robust estimation of heterogeneous causal effects.

A Generative Framework for Causal Estimation via Importance-Weighted Diffusion Distillation Towards optimal doubly robust estimation of heterogeneous causal effects

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-15T20:59:30.149125Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3d318700-763f-48a2-a558-3d06eae361c2 · outbound

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

A Generative Framework for Causal Estimation via Importance-Weighted Diffusion Distillation Causal Diffusion Autoencoders: Toward Counterfactual Generation via Diffusion Probabilistic Models

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-15T20:59:30.153992Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ef2e135a-735f-4705-8b7a-0dd90863b61e · outbound

This paper cites Künzel, Jasjeet S.

A Generative Framework for Causal Estimation via Importance-Weighted Diffusion Distillation Künzel, Jasjeet S

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-15T20:59:30.159528Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 79cb751a-1321-4654-b07c-8cb6a09edf86 · outbound

This paper cites Variance reduction in the inverse probability weighted estimators for the average treatment effect using the propensity score.

A Generative Framework for Causal Estimation via Importance-Weighted Diffusion Distillation Variance reduction in the inverse probability weighted estimators for the average treatment effect using the propensity score

Reference 18

Resolution: verified exact; doi, observed 2026-08-15T20:59:30.451085Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation a0923f8f-b817-4de1-a2f4-e424cf238118 · outbound

This paper cites Causal modeling with stationary diffusions.

A Generative Framework for Causal Estimation via Importance-Weighted Diffusion Distillation Causal modeling with stationary diffusions

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:59:31.221690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 3a7129ef-28bd-4afb-9d00-90ae80c34b5a · outbound

This paper cites Diff-I nstruct: A universal approach for transferring knowledge from pre-trained diffusion models.

A Generative Framework for Causal Estimation via Importance-Weighted Diffusion Distillation Diff-I nstruct: A universal approach for transferring knowledge from pre-trained diffusion models

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:59:31.203082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation be8c8118-ee37-4e43-a843-fa336938665f · outbound

This paper cites Diff-Instruct: A Universal Approach for Transferring Knowledge From Pre-trained Diffusion Models.

A Generative Framework for Causal Estimation via Importance-Weighted Diffusion Distillation Diff-Instruct: A Universal Approach for Transferring Knowledge From Pre-trained Diffusion Models

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-15T20:59:30.180715Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5b532b96-0aa2-43c6-9ba7-3a58f63b883d · outbound

This paper cites Diff PO : A causal diffusion model for learning distributions of potential outcomes.

A Generative Framework for Causal Estimation via Importance-Weighted Diffusion Distillation Diff PO : A causal diffusion model for learning distributions of potential outcomes

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:59:31.184162Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e3a6df93-ab71-4b39-9659-6fa92f0d298d · outbound

This paper cites Empirical Analysis of Model Selection for Heterogeneous Causal Effect Estimation.

A Generative Framework for Causal Estimation via Importance-Weighted Diffusion Distillation Empirical Analysis of Model Selection for Heterogeneous Causal Effect Estimation

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-15T20:59:30.190502Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 73fcfa65-e739-4d73-9a82-3a4923299b08 · outbound

This paper cites Diffusion Based Causal Representation Learning.

A Generative Framework for Causal Estimation via Importance-Weighted Diffusion Distillation Diffusion Based Causal Representation Learning

Reference 24

Resolution: verified exact; local_arxiv, observed 2026-08-15T20:59:30.667736Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 50f48363-451c-46b6-9c09-24b37877214e · outbound

This paper cites Causality: Models, Reasoning and Inference.

A Generative Framework for Causal Estimation via Importance-Weighted Diffusion Distillation Causality: Models, Reasoning and Inference

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-15T20:59:30.201357Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 033c9aac-12e7-4739-837e-89ee8554d7a9 · outbound

This paper cites Trygve haavelmo and the emergence of causal calculus.

A Generative Framework for Causal Estimation via Importance-Weighted Diffusion Distillation Trygve haavelmo and the emergence of causal calculus

Reference 26

Resolution: verified exact; doi, observed 2026-08-15T20:59:30.432928Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 1254ff80-c536-4a42-875f-193e5f05f918 · outbound

This paper cites DreamFusion: Text-to-3D using 2D Diffusion.

A Generative Framework for Causal Estimation via Importance-Weighted Diffusion Distillation DreamFusion: Text-to-3D using 2D Diffusion

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-15T20:59:30.211485Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 69e91f9b-4bee-4525-8140-b35dace293bb · outbound

This paper cites An empirical B ayes approach to statistics.

A Generative Framework for Causal Estimation via Importance-Weighted Diffusion Distillation An empirical B ayes approach to statistics

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:59:31.151881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 8778b6c8-4f07-4738-a894-fa29aefcfff2 · outbound

This paper cites Robins, Andrea Rotnitzky, and Lue Ping Zhao.

A Generative Framework for Causal Estimation via Importance-Weighted Diffusion Distillation Robins, Andrea Rotnitzky, and Lue Ping Zhao

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-15T20:59:30.221602Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 312df390-06d1-4f7b-9779-9584219287f1 · outbound

This paper cites Rosenbaum and Donald B.

A Generative Framework for Causal Estimation via Importance-Weighted Diffusion Distillation Rosenbaum and Donald B

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-15T20:59:30.226561Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a5207233-a120-41e2-9576-6609551b2098 · outbound

This paper cites an unresolved cited work.

A Generative Framework for Causal Estimation via Importance-Weighted Diffusion Distillation Unresolved cited work

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-15T20:59:30.232491Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d4d0a1b9-8a14-4b46-94aa-890db3193f9b · outbound

This paper cites Diffusion Causal Models for Counterfactual Estimation.

A Generative Framework for Causal Estimation via Importance-Weighted Diffusion Distillation Diffusion Causal Models for Counterfactual Estimation

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-15T20:59:30.237347Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 95cd9238-a14c-4d21-a009-784c3659ad0a · outbound

This paper cites Diffusion Models for Causal Discovery via Topological Ordering.

A Generative Framework for Causal Estimation via Importance-Weighted Diffusion Distillation Diffusion Models for Causal Discovery via Topological Ordering

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-15T20:59:30.242629Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b910ea93-0027-454e-a8eb-cf775a3fc66d · outbound

This paper cites Johansson, and David Sontag.

A Generative Framework for Causal Estimation via Importance-Weighted Diffusion Distillation Johansson, and David Sontag

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:59:31.131208Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 678483aa-c4ff-468e-9db4-8a13a2ab1783 · outbound

This paper cites Diffusion Model in Causal Inference with Unmeasured Confounders.

A Generative Framework for Causal Estimation via Importance-Weighted Diffusion Distillation Diffusion Model in Causal Inference with Unmeasured Confounders

Reference 35

Resolution: verified exact; local_arxiv, observed 2026-08-15T20:59:30.587702Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 616c4007-6ed9-4ffb-ab47-3b6ea28b8821 · outbound

This paper cites Deep Unsupervised Learning using Nonequilibrium Thermodynamics.

A Generative Framework for Causal Estimation via Importance-Weighted Diffusion Distillation Deep Unsupervised Learning using Nonequilibrium Thermodynamics

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-15T20:59:30.260413Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f50ae32a-1ddd-4321-abe7-c27579b7dc23 · outbound

This paper cites Generative M odeling by E stimating G radients of the D ata D istribution.

A Generative Framework for Causal Estimation via Importance-Weighted Diffusion Distillation Generative M odeling by E stimating G radients of the D ata D istribution

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-15T20:59:30.266156Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 939c1cde-e802-4080-99d8-ae1fcd7bd9f2 · outbound

This paper cites Score-Based Generative Modeling through Stochastic Differential Equations.

A Generative Framework for Causal Estimation via Importance-Weighted Diffusion Distillation Score-Based Generative Modeling through Stochastic Differential Equations

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-15T20:59:30.271323Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bb9963d1-2ef3-4881-a4f5-348c4f35583a · outbound

This paper cites an unresolved cited work.

A Generative Framework for Causal Estimation via Importance-Weighted Diffusion Distillation Unresolved cited work

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-15T20:59:30.276286Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 258fd42e-4fa4-485b-afd2-83256aa43236 · outbound

This paper cites Covariate shift adaptation by importance weighted cross validation.

A Generative Framework for Causal Estimation via Importance-Weighted Diffusion Distillation Covariate shift adaptation by importance weighted cross validation

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:59:31.091034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 1dad805b-f5ce-47ea-868f-8dad1c8ccd64 · outbound

This paper cites General identifiability and achievability for causal representation learning.

A Generative Framework for Causal Estimation via Importance-Weighted Diffusion Distillation General identifiability and achievability for causal representation learning

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:59:31.071049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation fe7b5490-3b54-47dd-a35f-2d90ebb6c184 · outbound

This paper cites A connection between score matching and denoising autoencoders.

A Generative Framework for Causal Estimation via Importance-Weighted Diffusion Distillation A connection between score matching and denoising autoencoders

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-15T20:59:30.292039Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d67bb7ba-373b-4c1b-a93d-27072439d56c · outbound

This paper cites Diffusion-GAN : Training GANs with diffusion.

A Generative Framework for Causal Estimation via Importance-Weighted Diffusion Distillation Diffusion-GAN : Training GANs with diffusion

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:59:31.040907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 83a7197d-1870-485f-a107-40c842db8f16 · outbound

This paper cites Prolific D reamer: High-fidelity and diverse text-to- 3D generation with variational score distillation, 2023 a.

A Generative Framework for Causal Estimation via Importance-Weighted Diffusion Distillation Prolific D reamer: High-fidelity and diverse text-to- 3D generation with variational score distillation, 2023 a

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:59:31.023341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 8a0f2c3b-9546-4d10-80c3-44f57db68027 · outbound

This paper cites ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with Variational Score Distillation.

A Generative Framework for Causal Estimation via Importance-Weighted Diffusion Distillation ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with Variational Score Distillation

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-15T20:59:30.308932Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0003cbd3-4456-4c9c-b19e-9ef93d14be20 · outbound

This paper cites Semi-implicit variational inference.

A Generative Framework for Causal Estimation via Importance-Weighted Diffusion Distillation Semi-implicit variational inference

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-15T20:59:30.314602Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cefc6290-8455-41ec-82da-9a62a324f60a · outbound

This paper cites One-step diffusion with distribution matching distillation.

A Generative Framework for Causal Estimation via Importance-Weighted Diffusion Distillation One-step diffusion with distribution matching distillation

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-15T20:59:30.319430Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fb6f8bf3-5f1f-4277-a84a-2e3adc5f1265 · outbound

This paper cites GANITE : Estimation of individualized treatment effects using generative adversarial nets.

A Generative Framework for Causal Estimation via Importance-Weighted Diffusion Distillation GANITE : Estimation of individualized treatment effects using generative adversarial nets

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:59:30.982387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 9e879c59-22cd-4ef2-90c5-f53659005df9 · outbound

This paper cites Hierarchical semi-implicit variational inference with application to diffusion model acceleration.

A Generative Framework for Causal Estimation via Importance-Weighted Diffusion Distillation Hierarchical semi-implicit variational inference with application to diffusion model acceleration

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:59:30.963754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation af18e613-f22a-4a6f-bae7-8fe1f165f43e · outbound

This paper cites Treatment effect estimation with disentangled latent factors.

A Generative Framework for Causal Estimation via Importance-Weighted Diffusion Distillation Treatment effect estimation with disentangled latent factors

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-15T20:59:30.334483Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 25867fcc-7edf-4b81-a75e-222421b7e0ca · outbound

This paper cites Truncated Diffusion Probabilistic Models and Diffusion-based Adversarial Auto-Encoders.

A Generative Framework for Causal Estimation via Importance-Weighted Diffusion Distillation Truncated Diffusion Probabilistic Models and Diffusion-based Adversarial Auto-Encoders

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-15T20:59:30.339382Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f922ac31-00b4-484a-9082-d069718d7e81 · outbound

This paper cites Score identity Distillation: Exponentially Fast Distillation of Pretrained Diffusion Models for One-Step Generation.

A Generative Framework for Causal Estimation via Importance-Weighted Diffusion Distillation Score identity Distillation: Exponentially Fast Distillation of Pretrained Diffusion Models for One-Step Generation

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-15T20:59:30.345615Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Coverage vector

Reference resolution

Outbound references

Pith citing papers