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Paper Citation Record · LEDGER

Neural Networks, Artificial Intelligence and the Computational Brain

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2101.08635.

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

pith.paper-citation-record.v1
2101.08635 v1

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 2026-08-10T06:31:04.303077+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T15:04:13.940523Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T10:56:32.108667Z

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 2fe5b61e-f690-4faa-a18e-a2ec5793e342 · inbound

Unsupervised anomaly detection in large-scale estuarine acoustic telemetry data cites this paper.

Unsupervised anomaly detection in large-scale estuarine acoustic telemetry data Neural Networks, Artificial Intelligence and the Computational Brain

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-09T15:04:13.940523Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T15:04:13.940523Z digest=sha256:3ae24cc987ad0d2d95a6aaf5ec632a0ac743b68ae8989d7d4a74dd2e3931f5d6

Observation 497c97b3-90dc-4225-952c-71eff5f8c65b · inbound

DynaTab: Dynamic Feature Ordering as Neural Rewiring for High-Dimensional Tabular Data cites this paper.

DynaTab: Dynamic Feature Ordering as Neural Rewiring for High-Dimensional Tabular Data Neural Networks, Artificial Intelligence and the Computational Brain

Reference 63

Resolution
verified exact
arxiv_id, observed 2026-05-12T10:56:32.111561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-07T17:08:00.037381Z digest=sha256:eb21b59710e9cc87462411aedc3f0b59cfb4df7bd09d0400a149b2c62c909b2a