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Paper Citation Record · LEDGER

Diffusion Models in Simulation-Based Inference: A Tutorial Review

As of 17 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 5 inbound Pith citation observations for arXiv:2512.20685.

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

pith.paper-citation-record.v1
2512.20685 v3

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T14:46:24.350616Z

measured 37 of 37 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T00:18:59.824106Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

32 of 32 outbound references displayed

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External citation measurements

1
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation 4de79de6-4ecc-4277-bfb5-f6cdf1a1a713 · outbound

This paper cites Compositional amortized inference for large-scale hierarchical Bayesian models.

Diffusion Models in Simulation-Based Inference: A Tutorial Review Compositional amortized inference for large-scale hierarchical Bayesian models

Reference 1

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This paper cites Lake Tahoe, Nevada: Curran Associates Inc., pp.

Diffusion Models in Simulation-Based Inference: A Tutorial Review Lake Tahoe, Nevada: Curran Associates Inc., pp

Reference 2

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Observation 8795caf9-fafe-4d80-8dbd-a19e33708552 · outbound

This paper cites Does Unsupervised Domain Adaptation Improve the Robustness of Amortized Bayesian Inference? A Systematic Evaluation.

Diffusion Models in Simulation-Based Inference: A Tutorial Review Does Unsupervised Domain Adaptation Improve the Robustness of Amortized Bayesian Inference? A Systematic Evaluation

Reference 3

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This paper cites Montreal, Canada: MIT Press, pp.

Diffusion Models in Simulation-Based Inference: A Tutorial Review Montreal, Canada: MIT Press, pp

Reference 13

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This paper cites Machine learning-enabled velocity model building with uncertainty quantification.

Diffusion Models in Simulation-Based Inference: A Tutorial Review Machine learning-enabled velocity model building with uncertainty quantification

Reference 17

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Observation f9996572-38eb-4964-89a6-db453290c246 · outbound

This paper cites PMLR, pp.

Diffusion Models in Simulation-Based Inference: A Tutorial Review PMLR, pp

Reference 19

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This paper cites The Euler–Maruyama adaptive variant followed Fang and Giles (2020), setting the step size proportional to max(1,∥x∥ 2)/max(1,∥v(x)∥.

Diffusion Models in Simulation-Based Inference: A Tutorial Review The Euler–Maruyama adaptive variant followed Fang and Giles (2020), setting the step size proportional to max(1,∥x∥ 2)/max(1,∥v(x)∥

Reference 28

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This paper cites The scheduled variant, uses a fixed step size in the log SNR.

Diffusion Models in Simulation-Based Inference: A Tutorial Review The scheduled variant, uses a fixed step size in the log SNR

Reference 29

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This paper cites Posterior SBC: Simulation-Based Calibration Checking Conditional on Data.

Diffusion Models in Simulation-Based Inference: A Tutorial Review Posterior SBC: Simulation-Based Calibration Checking Conditional on Data

Reference 32

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This paper cites We use a mini-batch size of 3 for the compositional score, and a damping factor of1/number of subjects.

Diffusion Models in Simulation-Based Inference: A Tutorial Review We use a mini-batch size of 3 for the compositional score, and a damping factor of1/number of subjects

Reference 33

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This paper cites 478–491.https://dl.acm.org/doi/10.5555/3600270.3600305.

Diffusion Models in Simulation-Based Inference: A Tutorial Review 478–491.https://dl.acm.org/doi/10.5555/3600270.3600305

Reference 35

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This paper cites Bansal, A., Chu, H.-M., Schwarzschild, A., Sengupta, S., Goldblum, M., Geiping, J., and Goldstein, T.

Diffusion Models in Simulation-Based Inference: A Tutorial Review Bansal, A., Chu, H.-M., Schwarzschild, A., Sengupta, S., Goldblum, M., Geiping, J., and Goldstein, T

Reference 63

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This paper cites 42 Diffusion Models In Simulation-Based Inference: A Tutorial Review Nautiyal, M., Hellander, A., and Singh, P.

Diffusion Models in Simulation-Based Inference: A Tutorial Review 42 Diffusion Models In Simulation-Based Inference: A Tutorial Review Nautiyal, M., Hellander, A., and Singh, P

Reference 64

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This paper cites Adam: A Method for Stochastic Optimization.

Diffusion Models in Simulation-Based Inference: A Tutorial Review Adam: A Method for Stochastic Optimization

Reference 69

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Observation 96370740-9caa-415e-be02-1840ae7ec17c · outbound

This paper cites PMLR, pp.

Diffusion Models in Simulation-Based Inference: A Tutorial Review PMLR, pp

Reference 97

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Diffusion Models in Simulation-Based Inference: A Tutorial Review Unresolved cited work

Reference 106

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This paper cites Bardenet, R., Doucet, A., and Holmes, C.

Diffusion Models in Simulation-Based Inference: A Tutorial Review Bardenet, R., Doucet, A., and Holmes, C

Reference 108

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This paper cites PMLR, pp.

Diffusion Models in Simulation-Based Inference: A Tutorial Review PMLR, pp

Reference 139

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Diffusion Models in Simulation-Based Inference: A Tutorial Review an exercise in groundwater model calibration and prediction

Reference 162

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This paper cites PMLR, pp.

Diffusion Models in Simulation-Based Inference: A Tutorial Review PMLR, pp

Reference 202

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This paper cites The Curse of Conditions: Analyzing and Improving Optimal Transport for Conditional Flow-Based Generation.

Diffusion Models in Simulation-Based Inference: A Tutorial Review The Curse of Conditions: Analyzing and Improving Optimal Transport for Conditional Flow-Based Generation

Reference 258

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Diffusion Models in Simulation-Based Inference: A Tutorial Review Unresolved cited work

Reference 1988

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Diffusion Models in Simulation-Based Inference: A Tutorial Review ground-truth

Reference 2014

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Diffusion Models in Simulation-Based Inference: A Tutorial Review A compact multilayer perceptron serves as the core backbone for all models

Reference 2017

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Diffusion Models in Simulation-Based Inference: A Tutorial Review (2023), while the residual blocks use a linear FiLM conditioning (Perez et al.,

Reference 2020

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Diffusion Models in Simulation-Based Inference: A Tutorial Review statistic

Reference 2021

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This paper cites Due to the high dimensions, exploring the parameter space is difficult even for the adaptive parallel tempering algorithm.

Diffusion Models in Simulation-Based Inference: A Tutorial Review Due to the high dimensions, exploring the parameter space is difficult even for the adaptive parallel tempering algorithm

Reference 2023

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Diffusion Models in Simulation-Based Inference: A Tutorial Review The Statistical Accuracy of Neural Posterior and Likelihood Estimation

Reference 2024

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Diffusion Models in Simulation-Based Inference: A Tutorial Review Benchmarking Invertible Architectures on Inverse Problems

Reference 2025

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Diffusion Models in Simulation-Based Inference: A Tutorial Review – (2025b)

Reference 3833

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Diffusion Models in Simulation-Based Inference: A Tutorial Review Schmitt, M., Bürkner, P

Reference 4304

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Diffusion Models in Simulation-Based Inference: A Tutorial Review Flow Matching Calibration for Simulation-Based Inference under Model Misspecification

Reference 5702

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MEmilio -- A high performance Modular EpideMIcs simuLatIOn software for multi-scale and comparative simulations of infectious disease dynamics cites this paper.

MEmilio -- A high performance Modular EpideMIcs simuLatIOn software for multi-scale and comparative simulations of infectious disease dynamics Diffusion Models in Simulation-Based Inference: A Tutorial Review

Reference 101

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Overcoming Selection Bias in Statistical Studies With Amortized Bayesian Inference cites this paper.

Overcoming Selection Bias in Statistical Studies With Amortized Bayesian Inference Diffusion Models in Simulation-Based Inference: A Tutorial Review

Reference 36

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Rapid and robust simulation-based inference for kilonovae cites this paper.

Rapid and robust simulation-based inference for kilonovae Diffusion Models in Simulation-Based Inference: A Tutorial Review

Reference 85

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GenSBI: Generative Methods for Simulation-Based Inference in JAX cites this paper.

GenSBI: Generative Methods for Simulation-Based Inference in JAX Diffusion Models in Simulation-Based Inference: A Tutorial Review

Reference 38

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Observation d729f673-e1a1-41d6-b050-1afd336fe7b1 · inbound

Hierarchical Bayesian inference with compositional score modeling for stellar streams cites this paper.

Hierarchical Bayesian inference with compositional score modeling for stellar streams Diffusion Models in Simulation-Based Inference: A Tutorial Review

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