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Paper Citation Record · LEDGER

Modeling and Contractivity of Neural-Synaptic Networks with Hebbian Learning

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2204.05382.

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

pith.paper-citation-record.v1
2204.05382 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 1 of 1 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T20:02:24.033167Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T20:02:25.396480Z

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 842f7b1d-dddb-43f3-b40c-8a106293ed4f · inbound

Robust Convolution Neural ODEs via Contractivity-promoting regularization cites this paper.

Robust Convolution Neural ODEs via Contractivity-promoting regularization Modeling and Contractivity of Neural-Synaptic Networks with Hebbian Learning

Reference 25

Resolution
verified exact
local_arxiv, observed 2026-08-05T20:02:25.476119Z

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=2026-08-05T20:02:24.033167Z digest=sha256:f6a12ce5013ce60c3c2fdc8df1e7d5d839e76c16b7da62160f94017ce3d5ba49