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Paper Citation Record · LEDGER

A Meta-learning Approach to Reservoir Computing: Time Series Prediction with Limited Data

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2110.03722.

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

pith.paper-citation-record.v1
2110.03722 v1

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 2026-08-11T06:34:44.6726+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T13:36:16.054424Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T18:16:17.926450Z

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 a1783dfe-b738-464f-af27-01a5390f0418 · inbound

Tailored Forecasting from Short Time Series via Meta-learning cites this paper.

Tailored Forecasting from Short Time Series via Meta-learning A Meta-learning Approach to Reservoir Computing: Time Series Prediction with Limited Data

Reference 29

Resolution
verified exact
local_arxiv, observed 2026-08-10T13:36:16.674750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T13:36:16.054424Z digest=sha256:09c3f5aa358b1fbe81ad3a70e535ed4f931770ac0bd098f14563d2dd949a33a4