Paper Citation Record · LEDGER

A Numerical Rosenblatt Method for Forced Variable Independence

As of 16 August 2026, this Paper Citation Record lists 10 of 10 outbound references and 0 inbound Pith citation observations for arXiv:2509.25521.

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

pith.paper-citation-record.v1
2509.25521 v2

Coverage vector

measured 10 of 10 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T15:48:54.922525Z

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

10 of 10 outbound references displayed

verified exact3
verified fuzzy4
unresolved3
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation dc8fa1ee-17b1-448e-b88a-19b20e498def · outbound

This paper cites Machine learning method for enforcing variable independence in background estimation with LHC data: ABCDisCoTEC.

A Numerical Rosenblatt Method for Forced Variable Independence Machine learning method for enforcing variable independence in background estimation with LHC data: ABCDisCoTEC

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-15T15:48:54.891642Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dd2bad89-9877-49b8-81be-8f3a1f29aaab · outbound

This paper cites Measuring and testing dependence by correlation of distances.

A Numerical Rosenblatt Method for Forced Variable Independence Measuring and testing dependence by correlation of distances

Reference 2

Resolution: verified exact; doi, observed 2026-08-15T15:48:54.967326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 556de5b0-2457-4e22-925e-a7851c5412bf · outbound

This paper cites ROC Solid: Receiver Operator Characteristic (ROC) Curves as a Foundation for Better Diagnostic Tests.

A Numerical Rosenblatt Method for Forced Variable Independence ROC Solid: Receiver Operator Characteristic (ROC) Curves as a Foundation for Better Diagnostic Tests

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-15T15:48:54.899478Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 504b2306-1897-48bd-bb0a-abfe9401ba2a · outbound

This paper cites Remarks on a Multivariate Transformation.

A Numerical Rosenblatt Method for Forced Variable Independence Remarks on a Multivariate Transformation

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-15T15:48:54.903114Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 38009c48-9891-4621-9e4e-3071197a4059 · outbound

This paper cites Albertsson.Users Guide - TMVA 4 - ROOT - CERN.

A Numerical Rosenblatt Method for Forced Variable Independence Albertsson.Users Guide - TMVA 4 - ROOT - CERN

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:48:55.143108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 0cfc77fd-e752-40e8-a329-a177242acf0f · outbound

This paper cites 2025.URL: https://www.cs.toronto.edu/~kriz/cifar.html.

A Numerical Rosenblatt Method for Forced Variable Independence 2025.URL: https://www.cs.toronto.edu/~kriz/cifar.html

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:48:55.133300Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation b2a057d5-0d57-4439-8400-115d538b1b0e · outbound

This paper cites Software available from tensorflow.org.

A Numerical Rosenblatt Method for Forced Variable Independence Software available from tensorflow.org

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:48:55.123555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 5d44f244-5ddf-439b-95dc-4541a8398b12 · outbound

This paper cites 2019.URL: https://zenodo.org/records/2629073.

A Numerical Rosenblatt Method for Forced Variable Independence 2019.URL: https://zenodo.org/records/2629073

Reference 8

Resolution: verified exact; raw_fallback, observed 2026-08-15T15:48:55.045593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation c9239b81-a1df-4c44-a1e3-98a67f77497a · outbound

This paper cites Anomaly detection with density estimation.

A Numerical Rosenblatt Method for Forced Variable Independence Anomaly detection with density estimation

Reference 9

Resolution: verified exact; doi, observed 2026-08-15T15:48:54.951189Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 91c71826-e742-4498-9ada-61e4d275e076 · outbound

This paper cites (19), the marginal distributionρ X(x), must be non-zero on the definingx-interval.

A Numerical Rosenblatt Method for Forced Variable Independence (19), the marginal distributionρ X(x), must be non-zero on the definingx-interval

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:48:55.112074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Pith citing papers

No inbound Pith citation observations are available.