Paper Citation Record · LEDGER

Addressing Misspecification in Simulation-based Inference through Data-driven Calibration

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2405.08719.

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

pith.paper-citation-record.v1
2405.08719 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 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 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T18:13:13.528326Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T11:59:50.373056Z

Reference resolution

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External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation b920fe0d-a156-4290-8521-bdfa3b3e8a39 · inbound

Accelerated Patient-Specific Calibration via Differentiable Hemodynamics Simulations cites this paper.

Accelerated Patient-Specific Calibration via Differentiable Hemodynamics Simulations Addressing Misspecification in Simulation-based Inference through Data-driven Calibration

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-11T12:11:16.703620Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 33f613e9-bdc7-4a8d-9704-3e727b3f7dd5 · inbound

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

Does Unsupervised Domain Adaptation Improve the Robustness of Amortized Bayesian Inference? A Systematic Evaluation Addressing Misspecification in Simulation-based Inference through Data-driven Calibration

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-08T20:58:04.116935Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 630a5aa3-e518-48f3-9265-6d68873624a8 · inbound

Deep Neural Network Driven Simulation Based Inference Method for Pole Position Estimation under Model Misspecification cites this paper.

Deep Neural Network Driven Simulation Based Inference Method for Pole Position Estimation under Model Misspecification Addressing Misspecification in Simulation-based Inference through Data-driven Calibration

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-15T18:13:13.528326Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e8dc7072-fa6d-4afa-9a93-64edede8203a · inbound

Simulation-Based Inference: A Practical Guide cites this paper.

Simulation-Based Inference: A Practical Guide Addressing Misspecification in Simulation-based Inference through Data-driven Calibration

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-15T17:21:41.197291Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b2d6c39b-c083-4ef0-b48c-7023e1d22d50 · inbound

CP4SBI: Local Conformal Calibration of Credible Sets in Simulation-Based Inference cites this paper.

CP4SBI: Local Conformal Calibration of Credible Sets in Simulation-Based Inference Addressing Misspecification in Simulation-based Inference through Data-driven Calibration

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-15T17:14:12.391610Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 75579a61-cdd4-44b6-9935-72ff07a4acb8 · inbound

A Review of Diffusion-based Simulation-Based Inference: Foundations and Applications in Non-Ideal Data Scenarios cites this paper.

A Review of Diffusion-based Simulation-Based Inference: Foundations and Applications in Non-Ideal Data Scenarios Addressing Misspecification in Simulation-based Inference through Data-driven Calibration

Reference 57

Resolution: verified exact; arxiv_id, observed 2026-05-16T18:58:18.861875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c0c7edbf-6f49-4fb0-8988-d5887c1b2c82 · inbound

Machine Learning Techniques for Astrophysics and Cosmology: Simulation-Based Inference cites this paper.

Machine Learning Techniques for Astrophysics and Cosmology: Simulation-Based Inference Addressing Misspecification in Simulation-based Inference through Data-driven Calibration

Reference 61

Resolution: verified exact; arxiv_id, observed 2026-05-12T05:51:25.821247Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b5eaf028-c86f-44a5-9c04-3c7fb6793f64 · inbound

End-to-End Population Inference from Gravitational-Wave Strain using Transformers cites this paper.

End-to-End Population Inference from Gravitational-Wave Strain using Transformers Addressing Misspecification in Simulation-based Inference through Data-driven Calibration

Reference 68

Resolution: verified exact; arxiv_id, observed 2026-05-13T02:02:06.020044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 38048a02-21d3-4c4a-b522-47927e2b9498 · inbound

Field-level weak lensing cosmology with $<100$ simulations using multifidelity simulation-based inference cites this paper.

Field-level weak lensing cosmology with $<100$ simulations using multifidelity simulation-based inference Addressing Misspecification in Simulation-based Inference through Data-driven Calibration

Reference 119

Resolution: verified exact; arxiv_id, observed 2026-07-04T11:59:50.374842Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2c775424-fd3d-473d-8d96-53f1d4f2cf1d · inbound

An Introduction to Bayesian and Frequentist Simulation-Based Inference with Machine Learning cites this paper.

An Introduction to Bayesian and Frequentist Simulation-Based Inference with Machine Learning Addressing Misspecification in Simulation-based Inference through Data-driven Calibration

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-01T07:00:58.457105Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.