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Paper Citation Record · LEDGER

Quantitative CLTs in Deep Neural Networks

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2307.06092.

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

pith.paper-citation-record.v1
2307.06092 v5

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T15:05:40.761888Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-11T11:07:56.138331Z

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 6a6ac3b4-187f-4de0-a2b5-03415bdf0963 · inbound

Proportional infinite-width infinite-depth limit for deep linear neural networks cites this paper.

Proportional infinite-width infinite-depth limit for deep linear neural networks Quantitative CLTs in Deep Neural Networks

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-12T15:05:40.761888Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T15:05:40.761888Z digest=sha256:3eb8998f3e99a56dd29e59daa45941966901b3ceaecc2cba600fb307fa96d3e5

Observation bf2ca4a1-1d34-4da9-b80f-c7424bbd9b59 · inbound

Effective Non-Random Extreme Learning Machine cites this paper.

Effective Non-Random Extreme Learning Machine Quantitative CLTs in Deep Neural Networks

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-12T13:29:22.151658Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T13:29:22.151658Z digest=sha256:ae3b8a08a9882833a589d27757cd9fc8a16b72c00961f46761ee6ef60522e0ad

Observation 9a4c9826-5717-413d-9eb6-4fc5732ca9e3 · inbound

Kernel shape renormalization explains output-output correlations in finite Bayesian one-hidden-layer networks cites this paper.

Kernel shape renormalization explains output-output correlations in finite Bayesian one-hidden-layer networks Quantitative CLTs in Deep Neural Networks

Reference 9

Resolution
verified exact
local_arxiv, observed 2026-08-11T11:07:56.146468Z

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.

source=pdf_text observed=2026-08-11T11:07:55.515726Z digest=sha256:d0e788fb63e4f5e989605f7819dcf43bf2577e32392a2c68399ee36765fef0be

Observation e2e53b25-4f1f-49fd-8c1d-1fb32b823539 · 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 Quantitative CLTs in Deep Neural Networks

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-02T09:36:51.187411Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T09:36:51.187411Z digest=sha256:da9b1deac56223456a70607d3ea967678d4181e9bb9c57b07e5a5886064e16d8