Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Addressing Misspecification in Simulation-based Inference through Data-driven Calibration
As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2405.08719.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-01T07:00:58.457105Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T11:59:50.373056Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
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 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 2026-08-05T06:32:48.257954+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 2026-08-05T06:32:48.257954+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 2026-08-05T06:32:48.257954+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 2026-08-05T06:32:48.257954+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.