Pith. sign in

Paper Citation Record · LEDGER

Neural Density Estimation and Likelihood-free Inference

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:1910.13233.

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

pith.paper-citation-record.v1
1910.13233 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 2026-08-07T06:34:17.273281+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:40:40.887444Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

8
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 665250c7-70a4-4eba-8f1d-334244e512dd · inbound

Position: The Future of Bayesian Prediction Is Prior-Fitted cites this paper.

Position: The Future of Bayesian Prediction Is Prior-Fitted Neural Density Estimation and Likelihood-free Inference

Reference 69

Resolution
unresolved
no resolver link, observed 2026-08-07T12:40:40.887444Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:40:40.887444Z digest=sha256:c3c9ed4393e825330e48092800644490dd96bd324b8f6ad4b4fcc6cc5cda45cd

Observation 8eec7e2e-43ae-407a-a25b-66a0f21f6857 · inbound

Implicit Likelihood Inference of the Neutrino Mass Hierarchy from Cosmological Data cites this paper.

Implicit Likelihood Inference of the Neutrino Mass Hierarchy from Cosmological Data Neural Density Estimation and Likelihood-free Inference

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-03T15:16:08.818868Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T15:16:08.818868Z digest=sha256:f27dc9a02d11acc31da526c738395e24fe3f66b5e65c1dec3e575d1ac394ecf1

Observation 875c9d29-23d4-4204-8e63-3b3af9d6781c · inbound

Neural Simulation-based Inference with Hierarchical Priors for Detached Eclipsing Binaries cites this paper.

Neural Simulation-based Inference with Hierarchical Priors for Detached Eclipsing Binaries Neural Density Estimation and Likelihood-free Inference

Reference 17

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T01:20:36.767798Z

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=2026-05-10T01:19:18.812863Z digest=sha256:1c62603dfeab68afb4f565ea72696a5b0f5e0285b66226092c2709043132d063

Observation 5036553c-c2e0-4128-9133-4c7d6cb3c873 · inbound

Rapid and robust simulation-based inference for kilonovae cites this paper.

Rapid and robust simulation-based inference for kilonovae Neural Density Estimation and Likelihood-free Inference

Reference 103

Resolution
verified exact
arxiv_id, observed 2026-05-15T02:39:40.855292Z

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=arxiv_source observed=2026-05-15T02:39:02.031216Z digest=sha256:6b56fdc1977c1e7ad85e52a052b0516dba05a6396c44f4f2338a85c58bce1a9a

Observation 26eb4988-b8e9-4b00-a99d-fc618d7fa776 · inbound

Amortized Energy-Based Bayesian Inference cites this paper.

Amortized Energy-Based Bayesian Inference Neural Density Estimation and Likelihood-free Inference

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-05-20T19:58:58.813307Z

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=2026-05-20T19:57:56.076941Z digest=sha256:77ab69464ff2b183a89042d3d52f18435f501aaea1f240b2b7211e7d07152644

Observation 06f063be-a14f-4fe2-940e-8bb6b8ea6e75 · 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 Neural Density Estimation and Likelihood-free Inference

Reference 31

Resolution
verified exact
local_arxiv, observed 2026-07-08T12:14:51.359256Z

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=sha256:4720b4806be470bee2b46311f8963f625995c78a55ec1bef8a520e1ebfa99543

Observation 2e111f39-3122-43e1-889a-6ad4076d8944 · inbound

Search for new scalars via $X \rightarrow SH \rightarrow b\bar{b}b\bar{b}$ in proton-proton collisions at $\sqrt{s} = 13$ TeV with the ATLAS detector cites this paper.

Search for new scalars via $X \rightarrow SH \rightarrow b\bar{b}b\bar{b}$ in proton-proton collisions at $\sqrt{s} = 13$ TeV with the ATLAS detector Neural Density Estimation and Likelihood-free Inference

Reference 77

Resolution
unresolved
no resolver link, observed 2026-08-01T15:25:08.360895Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T15:25:08.360895Z digest=sha256:4a139fad97f1023bad3bd7acd20f143160d287908330f9daef4e7117cf32bf90