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Paper Citation Record · LEDGER

MICS : Multi-steps, Inverse Consistency and Symmetric deep learning registration network

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2111.12123.

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

pith.paper-citation-record.v1
2111.12123 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 2026-08-13T06:32:02.005865+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T11:12:21.512204Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T12:39:12.880311Z

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 9f7b7d17-ccee-4f18-99be-e9ba537b9661 · inbound

From Model Based to Learned Regularization in Medical Image Registration: A Comprehensive Review cites this paper.

From Model Based to Learned Regularization in Medical Image Registration: A Comprehensive Review MICS : Multi-steps, Inverse Consistency and Symmetric deep learning registration network

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-11T11:12:21.512204Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:12:21.512204Z digest=sha256:d580bf4c66341c9c8b939a7919e029104baac3967d0d390afb24a73b344697c0

Observation 82fac201-cb39-43c1-b804-2791352d0005 · inbound

Beyond the LUMIR challenge: The pathway to foundational registration models cites this paper.

Beyond the LUMIR challenge: The pathway to foundational registration models MICS : Multi-steps, Inverse Consistency and Symmetric deep learning registration network

Reference 68

Resolution
verified exact
local_arxiv, observed 2026-08-07T12:39:12.974593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-07T12:39:08.734000Z digest=sha256:7dcf8d8cd5386b255f8e7d131e1e9a40d8c80e6fb7a6c4fd4794856dd9a31b57