Pith. sign in

Paper Citation Record · LEDGER

Evolutionary algorithms as an alternative to backpropagation for supervised training of Biophysical Neural Networks and Neural ODEs

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2311.10869.

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

pith.paper-citation-record.v1
2311.10869 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 2026-08-08T06:32:00.761636+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:14:43.804067Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-14T21:19:28.914407Z

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 d165a6fd-a44c-4b04-9457-6f7a549c9b66 · inbound

KPFlow: An Operator Perspective on Dynamic Collapse Under Gradient Descent Training of Recurrent Networks cites this paper.

KPFlow: An Operator Perspective on Dynamic Collapse Under Gradient Descent Training of Recurrent Networks Evolutionary algorithms as an alternative to backpropagation for supervised training of Biophysical Neural Networks and Neural ODEs

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-06T19:14:43.804067Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:14:43.804067Z digest=sha256:692480f92855d9a061df66432f84c2c993ad681dd1cacdd2258385314293cfa6

Observation 8151ca61-35ea-45f6-9205-baba5269fcc6 · inbound

The Global Empirical NTK: Self-Referential Bias and Dimensionality of Gradient Descent Learning cites this paper.

The Global Empirical NTK: Self-Referential Bias and Dimensionality of Gradient Descent Learning Evolutionary algorithms as an alternative to backpropagation for supervised training of Biophysical Neural Networks and Neural ODEs

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-05-12T03:01:18.458378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-12T02:57:57.097441Z digest=sha256:0bbf6185d7e5bfcda8727b15658014a07a67c4b0b62e7d47c5b3d24240fb49ca

Observation 945e1f1d-ee6e-4500-9830-6792e3d9d022 · inbound

State-Space NTK Collapse Near Bifurcations cites this paper.

State-Space NTK Collapse Near Bifurcations Evolutionary algorithms as an alternative to backpropagation for supervised training of Biophysical Neural Networks and Neural ODEs

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-05-14T21:19:28.917262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-14T21:03:49.445965Z digest=sha256:da80a5b0f64e35352241c2770e79775deb8f595528c7489fcf10d7555707562e