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Paper Citation Record · LEDGER

How more data can hurt: Instability and regularization in next-generation reservoir computing

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2407.08641.

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

pith.paper-citation-record.v1
2407.08641 v3

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 2026-08-15T06:32:42.880941+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-28T23:19:08.971339Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-28T23:22:47.034816Z

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 8f6acd57-549f-4bd3-8e14-2a324b16000d · inbound

Theory and interpretability of Quantum Extreme Learning Machines: a Pauli-transfer matrix approach cites this paper.

Theory and interpretability of Quantum Extreme Learning Machines: a Pauli-transfer matrix approach How more data can hurt: Instability and regularization in next-generation reservoir computing

Reference 112

Resolution
verified exact
arxiv_id, observed 2026-05-15T20:26:35.371040Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-15T20:26:21.639717Z digest=sha256:21120ba9e87e79f0be499e38193f3473c071bc297cf306559c6c30a703fd6f74

Observation d2777016-74ef-4dc5-9482-91ee56fe1268 · inbound

Flow map learning in nonlinear vector autoregressive models: influence of the feature-library structure on the training error cites this paper.

Flow map learning in nonlinear vector autoregressive models: influence of the feature-library structure on the training error How more data can hurt: Instability and regularization in next-generation reservoir computing

Reference 76

Resolution
verified exact
arxiv_id, observed 2026-06-28T23:22:47.036107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-06-28T23:19:08.971339Z digest=sha256:9a26e425b58bb4599b16f42e9491c863f4cd6ddfbb159498910b812df24f02d2