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Paper Citation Record · LEDGER

Python Non-Uniform Fast Fourier Transform (PyNUFFT): multi-dimensional non-Cartesian image reconstruction package for heterogeneous platforms and applications to MRI

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1710.03197.

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

pith.paper-citation-record.v1
1710.03197 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 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T09:07:17.067619Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

2
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation e5eac7c1-51ea-4f23-8bef-cca2377ba8ac · inbound

Scale-Aware Learning of Chaotic Dynamics on Unstructured Meshes via Binned Spectral Losses cites this paper.

Scale-Aware Learning of Chaotic Dynamics on Unstructured Meshes via Binned Spectral Losses Python Non-Uniform Fast Fourier Transform (PyNUFFT): multi-dimensional non-Cartesian image reconstruction package for heterogeneous platforms and applications to MRI

Reference 2017

Resolution
metadata mismatch
local_arxiv, observed 2026-08-02T09:13:26.331683Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-02T09:07:17.067619Z digest=sha256:dec5e6a5f1454340c972403d40face6bd599634efcbf4ec2157ba8ef35f3a0f4

Observation 9abb5d81-901d-4d4c-b9f8-893b2d3c0bf1 · inbound

Scale-Aware Learning of Chaotic Dynamics on Unstructured Meshes via Binned Spectral Losses cites this paper.

Scale-Aware Learning of Chaotic Dynamics on Unstructured Meshes via Binned Spectral Losses Python Non-Uniform Fast Fourier Transform (PyNUFFT): multi-dimensional non-Cartesian image reconstruction package for heterogeneous platforms and applications to MRI

Reference 2021

Resolution
unresolved
no resolver link, observed 2026-08-02T09:07:17.048697Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T09:07:17.048697Z digest=sha256:64cc81b6c1cadde66bd3dc76c0ab60c9e5f802a7b4dcf9ca14d857757a8ad955