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Paper Citation Record · LEDGER

Extracting Sparse High-Dimensional Dynamics from Limited Data

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1707.08528.

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

pith.paper-citation-record.v1
1707.08528 v2

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 2026-08-21T06:32:19.484+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T22:50:31.092471Z

measured 0 of 1 external citation measurements

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

Source: cited_works

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 12b60864-faa8-475e-98cf-a61afaacf44d · inbound

When is a System Discoverable from Data? Discovery Requires Chaos cites this paper.

When is a System Discoverable from Data? Discovery Requires Chaos Extracting Sparse High-Dimensional Dynamics from Limited Data

Reference 138

Resolution
unresolved
no resolver link, observed 2026-08-03T22:50:31.092471Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T22:50:31.092471Z digest=sha256:b338984380096be53509715c1a7f714426edb4c042c17d0f704e740ec33e6858

Observation ea40a608-4fb2-47c0-84e4-ebceb7e783f2 · inbound

Attractor Geometry Determines the Identifiability Limits of System Discovery cites this paper.

Attractor Geometry Determines the Identifiability Limits of System Discovery Extracting Sparse High-Dimensional Dynamics from Limited Data

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-01T15:24:51.705522Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T15:24:51.705522Z digest=sha256:0f29886b2b1de4cba26661fa09b1d7cb31256b7fa5e24d701e2cf25768421a72