Pith. sign in

Paper Citation Record · LEDGER

Training Neural Networks for Likelihood/Density Ratio Estimation

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1911.00405.

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

pith.paper-citation-record.v1
1911.00405 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T12:52:23.326272Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-09T23:37:45.688095Z

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 6855f5bb-2cc2-4a95-b456-b1ab81c9e916 · inbound

Uncertainty separation via ensemble quantile regression cites this paper.

Uncertainty separation via ensemble quantile regression Training Neural Networks for Likelihood/Density Ratio Estimation

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-11T12:52:23.326272Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T12:52:23.326272Z digest=sha256:a472e357140ac7d7828030699b76fbfe8832642ac1c0ff457ace28ba93f156d5

Observation 15ab98f9-6674-4db4-b307-0e482664dc1e · inbound

Sequential Change Point Detection via Denoising Score Matching cites this paper.

Sequential Change Point Detection via Denoising Score Matching Training Neural Networks for Likelihood/Density Ratio Estimation

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-10T17:03:26.185563Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T17:03:26.185563Z digest=sha256:fa7ed592a4fb0c477be075f7478f1e77937d4e3078cc8dd6fa4ad70756b75c64

Observation 5dfdb00e-5274-4889-a109-793b8bb28711 · inbound

Optimizers for Stabilizing Likelihood-free Inference cites this paper.

Optimizers for Stabilizing Likelihood-free Inference Training Neural Networks for Likelihood/Density Ratio Estimation

Reference 20

Resolution
verified exact
local_arxiv, observed 2026-08-09T23:37:45.693041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-09T23:37:30.043512Z digest=sha256:711a7dfdb2fde8cf50fd78bd113bcc3ba8ae25de01e4a70df3f0187dfabe79a1