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Paper Citation Record · LEDGER

The Statistical Accuracy of Neural Posterior and Likelihood Estimation

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2411.12068.

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

pith.paper-citation-record.v1
2411.12068 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T16:49:20.381824Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-08T12:14:51.370388Z

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 9badc10e-737c-40ed-9ec6-38c148962f31 · inbound

Improving the Accuracy of Amortized Model Comparison with Self-Consistency cites this paper.

Improving the Accuracy of Amortized Model Comparison with Self-Consistency The Statistical Accuracy of Neural Posterior and Likelihood Estimation

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-18T21:16:51.082236Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-18T21:16:08.765171Z digest=sha256:20a1edb3c27231fef1f3338e959957c34b9af26c051818815ed48fc381d4c439

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

Diffusion Models in Simulation-Based Inference: A Tutorial Review cites this paper.

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T14:46:23.479762Z digest=sha256:470bd72685a957648526e311328adfaa9578e1713e79454826a809270356d4dd

Observation b83eb0ad-9cce-45a9-bd81-ccf09663090f · inbound

Fortifying gravitational-wave population inference with normalizing flows cites this paper.

Fortifying gravitational-wave population inference with normalizing flows The Statistical Accuracy of Neural Posterior and Likelihood Estimation

Reference 70

Resolution
unresolved
no resolver link, observed 2026-08-02T11:36:02.632039Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T11:36:02.632039Z digest=sha256:6cdacc13a26e9e0d6dad0bca5a89bd3f9082bd9283037249a33bca0a49ae562d

Observation 4920a64a-260c-4f74-9b4f-24e901ae9a47 · inbound

A Convex Approximation Framework for Neural Likelihood-Based Bayesian Inverse Problems cites this paper.

A Convex Approximation Framework for Neural Likelihood-Based Bayesian Inverse Problems The Statistical Accuracy of Neural Posterior and Likelihood Estimation

Reference 8

Resolution
verified exact
local_arxiv, observed 2026-07-08T12:14:51.371941Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-08T12:12:52.958003Z digest=sha256:a16a07b73eb6821e562ef30b504613977e177ad6fde3502636fd8bbb953faba6

Observation a9f132fa-8b75-40f0-9c75-7d7cdf1947c4 · inbound

Neural Posterior Estimation for Inferring Weak Lensing Shear cites this paper.

Neural Posterior Estimation for Inferring Weak Lensing Shear The Statistical Accuracy of Neural Posterior and Likelihood Estimation

Reference 17

Resolution
unresolved
no resolver link, observed 2026-07-14T14:56:56.339206Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T14:56:56.339206Z digest=sha256:42b1947421b68f0de6ea82f90c1896e88aa254f844b83b5da3e4bf9193632835

Observation 1e0a3912-6989-4bf5-83c1-3fb7d2945f84 · inbound

Divide-and-Conquer: Towards Generalizable Amortized Bayesian Inference for the Drift Diffusion Model cites this paper.

Divide-and-Conquer: Towards Generalizable Amortized Bayesian Inference for the Drift Diffusion Model The Statistical Accuracy of Neural Posterior and Likelihood Estimation

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-05T16:49:20.381824Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T16:49:20.381824Z digest=sha256:2436a303069a07c3690f51f44072876431dbffbec3c6e8c1f9f40cb9b57dce12