Paper Citation Record · LEDGER

Diffusion Models in Simulation-Based Inference: A Tutorial Review

As of 9 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 2026-08-09T06:31:02.800959+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

verified exact2
verified fuzzy0
unresolved27
parse uncertain0
malformed identifier1
metadata mismatch2

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

Resolution: unresolved; no resolver link, observed 2026-08-03T14:46:22.857272Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b56b87b8-8eef-4a05-a92f-273f9dbadbb3 · outbound

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

Resolution: unresolved; no resolver link, observed 2026-08-03T14:46:23.247818Z

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Unavailable: canonical work link unavailable.

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

Resolution: metadata mismatch; local_arxiv, observed 2026-08-03T14:49:19.402477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 9b918281-7dba-4c2a-a9cd-7e4c3bfaef6e · outbound

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

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

Reference 13

Resolution: verified exact; doi, observed 2026-08-03T14:49:19.363636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b304f951-a3bf-47c8-ba46-2ba22b2ce732 · outbound

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

Resolution: verified exact; local_arxiv, observed 2026-08-03T14:49:19.231623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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

Resolution: unresolved; no resolver link, observed 2026-08-03T14:46:24.293673Z

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Observation 10c80390-e7bd-40c0-9848-dc8484a4921c · outbound

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

Resolution: unresolved; no resolver link, observed 2026-08-03T14:46:24.333728Z

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Observation c8274437-5385-4b72-9de2-ffbbbae57950 · outbound

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

Resolution: unresolved; no resolver link, observed 2026-08-03T14:46:24.337921Z

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Observation 53d9db7a-6b46-4258-a0a1-fd3750b44dd5 · outbound

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

Resolution: metadata mismatch; local_arxiv, observed 2026-08-03T14:49:19.048764Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e97dcc27-8c48-4247-8e9b-49bd8a1923a2 · outbound

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

Resolution: unresolved; no resolver link, observed 2026-08-03T14:46:24.350616Z

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Observation 5c3e59b4-573d-4f2f-8ba3-88f83434fd3f · outbound

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

Resolution: unresolved; no resolver link, observed 2026-08-03T14:46:23.729712Z

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Observation f5abbd41-fea0-407a-9974-97308743086d · outbound

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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Source-reported events for the cited work

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Observation 7430cb64-fb29-413e-a000-7c99362f37fc · outbound

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

Resolution: unresolved; no resolver link, observed 2026-08-03T14:46:24.280817Z

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Observation cbc8f4ee-0be4-472b-ab05-bf4f820442e2 · outbound

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

Resolution: unresolved; no resolver link, observed 2026-08-03T14:46:24.013189Z

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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

Resolution: unresolved; no resolver link, observed 2026-08-03T14:46:24.236348Z

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Observation 05490933-737e-40f3-9aff-24513b0a94e0 · outbound

This paper cites an unresolved cited work.

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

Reference 106

Resolution: unresolved; no resolver link, observed 2026-08-03T14:46:24.328830Z

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Observation b78fc6f1-aa73-473c-a252-c6e0d151df2c · outbound

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

Resolution: unresolved; no resolver link, observed 2026-08-03T14:46:23.003842Z

Source-reported events for the cited work

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Observation c64c7d2a-501a-4973-8659-953532d0c585 · outbound

This paper cites PMLR, pp.

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

Reference 139

Resolution: unresolved; no resolver link, observed 2026-08-03T14:46:23.911432Z

Source-reported events for the cited work

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Observation e5145632-e3c3-4c12-aedf-243c2736ddf8 · outbound

This paper cites an exercise in groundwater model calibration and prediction.

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

Reference 162

Resolution: unresolved; no resolver link, observed 2026-08-03T14:46:23.833732Z

Source-reported events for the cited work

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Observation 348ec232-cc2b-4ad3-8dbf-af45c8517fff · outbound

This paper cites PMLR, pp.

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

Reference 202

Resolution: unresolved; no resolver link, observed 2026-08-03T14:46:23.564873Z

Source-reported events for the cited work

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Observation ab78a936-958f-4a59-a4c9-b9c44040fde2 · outbound

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

Resolution: unresolved; no resolver link, observed 2026-08-03T14:46:23.167442Z

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Observation efc1177c-791e-4f43-bc39-b0aab0a9345b · outbound

This paper cites an unresolved cited work.

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

Reference 1988

Resolution: unresolved; no resolver link, observed 2026-08-03T14:46:24.311252Z

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Observation 6073cb24-ad21-4ece-96ee-8430fa8dad71 · outbound

This paper cites ground-truth.

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

Reference 2014

Resolution: unresolved; no resolver link, observed 2026-08-03T14:46:24.324664Z

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Observation 57122d5b-fc15-428d-a571-aee8aac55c42 · outbound

This paper cites A compact multilayer perceptron serves as the core backbone for all models.

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

Reference 2017

Resolution: unresolved; no resolver link, observed 2026-08-03T14:46:24.316357Z

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Observation b722633d-fbbb-47e3-830a-1c0218f65fda · outbound

This paper cites (2023), while the residual blocks use a linear FiLM conditioning (Perez et al.,.

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

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-03T14:46:24.320550Z

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Observation b61cda4a-6ade-457f-87f7-88c1a61a94d3 · outbound

This paper cites statistic.

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

Reference 2021

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Observation b2422925-e62a-4ff1-8096-b76c3f12628f · outbound

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

Resolution: unresolved; no resolver link, observed 2026-08-03T14:46:24.342135Z

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Observation cf2d55b0-b8f8-4d73-b8e5-396a25a365e3 · outbound

This paper cites The Statistical Accuracy of Neural Posterior and Likelihood Estimation.

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

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-03T14:46:23.479762Z

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Observation 58beb056-cbbb-43c3-99dd-1ad202d81be8 · outbound

This paper cites Benchmarking Invertible Architectures on Inverse Problems.

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

Reference 2025

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Observation dd5b3745-71dc-4926-89cc-aac3f928a2ad · outbound

This paper cites – (2025b).

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

Reference 3833

Resolution: unresolved; no resolver link, observed 2026-08-03T14:46:24.289572Z

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Observation af71b51e-68b7-474f-91ef-075f817b0014 · outbound

This paper cites Schmitt, M., Bürkner, P.

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

Reference 4304

Resolution: unresolved; no resolver link, observed 2026-08-03T14:46:24.306696Z

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Observation 85ffe515-9320-4118-a894-2522766280fa · outbound

This paper cites Flow Matching Calibration for Simulation-Based Inference under Model Misspecification.

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

Reference 5702

Resolution: unresolved; no resolver link, observed 2026-08-03T14:46:24.298071Z

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Pith citing papers

Observation f92ab72b-f257-47f5-a173-cb463ec0ebcf · inbound

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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Observation 9900fd2c-2592-4366-b56e-7a069744d032 · inbound

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

Resolution: verified exact; arxiv_id, observed 2026-07-09T02:19:49.658333Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d50a82ce-9593-48a1-aeb3-a761428b4e3c · inbound

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

Resolution: verified exact; arxiv_id, observed 2026-07-09T02:19:49.658333Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 4a1bfa81-d1c6-4426-9f43-42f63a5d8b7c · inbound

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

Resolution: verified exact; arxiv_id, observed 2026-07-09T02:19:49.658333Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-01T09:37:00.566035Z

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