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Paper Citation Record · LEDGER

Dynamic neuron approach to deep neural networks: Decoupling neurons for renormalization group analysis

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2410.00396.

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

pith.paper-citation-record.v1
2410.00396 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:35:47.065621Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T23:35:51.114935Z

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 412f48f5-3fc2-4a0c-965f-fb1434bcd5be · inbound

Rethinking Over-Smoothing in Graph Neural Networks: A Perspective from Anderson Localization cites this paper.

Rethinking Over-Smoothing in Graph Neural Networks: A Perspective from Anderson Localization Dynamic neuron approach to deep neural networks: Decoupling neurons for renormalization group analysis

Reference 13

Resolution
verified exact
local_arxiv, observed 2026-08-06T23:35:51.224174Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T23:35:47.065621Z digest=sha256:07cc57856afe271cb3c79a747fa3f5bba402e0b3c65bdfc230ff2a35befc2954

Observation 4bc85468-9717-4d61-a15f-dac5a3a02a5b · inbound

Bulk-boundary decomposition of neural networks cites this paper.

Bulk-boundary decomposition of neural networks Dynamic neuron approach to deep neural networks: Decoupling neurons for renormalization group analysis

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-04T00:22:01.021611Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T00:22:01.021611Z digest=sha256:ee12e093baf28e39e2f0e08b5f165e4efffebecedeabbb93f9aa9006c8855696