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Paper Citation Record · LEDGER

FAIM -- A ConvNet Method for Unsupervised 3D Medical Image Registration

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1811.09243.

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

pith.paper-citation-record.v1
1811.09243 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 2026-08-15T23:33:33.786415Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-05-25T10:30:38.990795Z

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 3ff90193-c532-4d5e-a7c6-6e1e5487c2af · inbound

Probabilistic Multilayer Regularization Network for Unsupervised 3D Brain Image Registration cites this paper.

Probabilistic Multilayer Regularization Network for Unsupervised 3D Brain Image Registration FAIM -- A ConvNet Method for Unsupervised 3D Medical Image Registration

Reference 13

Resolution
metadata mismatch
local_arxiv, observed 2026-05-25T10:30:38.993951Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-25T10:29:02.898236Z digest=sha256:0fbf02a21493a6cb097a4c16f9e9c05336b396d0ff3b75833a97ec8ba0ceb6c4

Observation c059706f-ea09-4262-b264-338ed98edb24 · inbound

Tetrahedron-Net for Medical Image Registration cites this paper.

Tetrahedron-Net for Medical Image Registration FAIM -- A ConvNet Method for Unsupervised 3D Medical Image Registration

Reference 2018

Resolution
unresolved
no resolver link, observed 2026-08-15T23:33:33.786415Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:33:33.786415Z digest=sha256:108cf85b0f2e0217f1cb3dfc5c68d1987411b5bf36eff7b59932d9e423f17bf9