Paper Citation Record · LEDGER

Hybrid SBI or How I Learned to Stop Worrying and Learn the Likelihood

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2309.10270.

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

pith.paper-citation-record.v1
2309.10270 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T05:50:54.709389Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T16:43:11.318860Z

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 ec19e703-6a51-4d5d-add0-a0d06fce4e4a · inbound

Cosmological Analysis with Calibrated Neural Quantile Estimation and Approximate Simulators cites this paper.

Cosmological Analysis with Calibrated Neural Quantile Estimation and Approximate Simulators Hybrid SBI or How I Learned to Stop Worrying and Learn the Likelihood

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-05-23T16:43:11.322929Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 7e7ac2eb-cfd8-4d36-8aa5-f996d3bd6b7c · inbound

Fast Sampling of Cosmological Initial Conditions with Gaussian Neural Posterior Estimation cites this paper.

Fast Sampling of Cosmological Initial Conditions with Gaussian Neural Posterior Estimation Hybrid SBI or How I Learned to Stop Worrying and Learn the Likelihood

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-09T05:50:54.709389Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c551da39-4a9f-4bf7-9ce2-f9ebe6e32f90 · inbound

Constraining Dynamical Dark Energy from Galaxy Clustering with Simulation-Based Priors cites this paper.

Constraining Dynamical Dark Energy from Galaxy Clustering with Simulation-Based Priors Hybrid SBI or How I Learned to Stop Worrying and Learn the Likelihood

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-06T21:30:54.561851Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ca28fcf9-2240-444a-8c39-24a635ceea54 · inbound

Modeling the Cosmological Lyman-$\alpha$ Forest at the Field Level cites this paper.

Modeling the Cosmological Lyman-$\alpha$ Forest at the Field Level Hybrid SBI or How I Learned to Stop Worrying and Learn the Likelihood

Reference 114

Resolution: unresolved; no resolver link, observed 2026-08-06T21:27:28.239531Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d4a390bf-a591-4fa8-a3e2-cf043d2eba1a · inbound

Simulation-Efficient Cosmological Inference with Multi-Fidelity SBI cites this paper.

Simulation-Efficient Cosmological Inference with Multi-Fidelity SBI Hybrid SBI or How I Learned to Stop Worrying and Learn the Likelihood

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T21:18:46.938326Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9e2b9e72-2f01-4d06-96e2-b6f3be00d935 · inbound

PatchNet: A hierarchical approach for neural field-level inference from Quijote Simulations cites this paper.

PatchNet: A hierarchical approach for neural field-level inference from Quijote Simulations Hybrid SBI or How I Learned to Stop Worrying and Learn the Likelihood

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-05T11:12:30.123611Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 12562fdc-d877-46a5-9c1b-9fba2deb43f8 · inbound

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

Machine Learning Techniques for Astrophysics and Cosmology: Simulation-Based Inference Hybrid SBI or How I Learned to Stop Worrying and Learn the Likelihood

Reference 43

Resolution: verified exact; arxiv_id, observed 2026-05-12T05:51:25.893919Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.