Paper Citation Record · LEDGER

Entropic bounds for conditionally Gaussian vectors and applications to neural networks

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2504.08335.

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

pith.paper-citation-record.v1
2504.08335 v2

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 2026-08-13T06:32:02.005865+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T09:36:51.257372Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T12:55:43.893964Z

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 18718208-0790-422b-b97d-938af9a43706 · inbound

Posterior Bayesian Neural Networks with Dependent Weights cites this paper.

Posterior Bayesian Neural Networks with Dependent Weights Entropic bounds for conditionally Gaussian vectors and applications to neural networks

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-19T02:52:00.153697Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 345f900a-8ccf-4e48-b3ae-410743b43f37 · inbound

Large deviation principles for convolutional Bayesian neural networks cites this paper.

Large deviation principles for convolutional Bayesian neural networks Entropic bounds for conditionally Gaussian vectors and applications to neural networks

Reference 6

Resolution: unresolved; no resolver link, observed 2026-07-15T14:03:39.869199Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a1143789-2b76-4338-8fd6-e554ff5ec34c · inbound

Phase Transitions in the Fluctuations of Functionals of Random Neural Networks cites this paper.

Phase Transitions in the Fluctuations of Functionals of Random Neural Networks Entropic bounds for conditionally Gaussian vectors and applications to neural networks

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-11T13:31:05.179075Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 004ea723-1414-45a9-afe4-03b119f50e12 · inbound

Universality in Deep Neural Networks: An approach via the Lindeberg exchange principle cites this paper.

Universality in Deep Neural Networks: An approach via the Lindeberg exchange principle Entropic bounds for conditionally Gaussian vectors and applications to neural networks

Reference 10

Resolution: metadata mismatch; arxiv_id, observed 2026-05-09T06:20:41.998730Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation a0cb5583-180b-442c-bf1a-d32dafbc4e5a · inbound

Optimal Non-Asymptotic Edgeworth Expansions for Multivariate Neural Network Outputs cites this paper.

Optimal Non-Asymptotic Edgeworth Expansions for Multivariate Neural Network Outputs Entropic bounds for conditionally Gaussian vectors and applications to neural networks

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-06-30T15:34:48.736060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 5f56065a-d2cc-4fd0-a586-f2d48d29b717 · inbound

Geometric Dyson Brownian Motions and the Free Log-Normal Limit for a Non-Square Gaussian Matrix Product cites this paper.

Geometric Dyson Brownian Motions and the Free Log-Normal Limit for a Non-Square Gaussian Matrix Product Entropic bounds for conditionally Gaussian vectors and applications to neural networks

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-07-01T12:55:43.895808Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 096e2e5b-c3ef-43e0-b6a5-fec12e210186 · inbound

Geometric Dyson Brownian Motions and the Free Log-Normal Limit for a Non-Square Gaussian Matrix Product cites this paper.

Geometric Dyson Brownian Motions and the Free Log-Normal Limit for a Non-Square Gaussian Matrix Product Entropic bounds for conditionally Gaussian vectors and applications to neural networks

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-02T09:36:51.257372Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.