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Paper Citation Record · LEDGER

Large Language Models for Multimodal Deformable Image Registration

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2408.10703.

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

pith.paper-citation-record.v1
2408.10703 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 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-10T15:54:21.880275Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T00:11:16.931585Z

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 23073f29-7568-4d13-bcf2-c0d030855467 · inbound

Clustering-Enhanced Domain Adaptation for Cross-Domain Intrusion Detection in Industrial Control Systems cites this paper.

Clustering-Enhanced Domain Adaptation for Cross-Domain Intrusion Detection in Industrial Control Systems Large Language Models for Multimodal Deformable Image Registration

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-05-11T09:41:00.653779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T15:54:21.880275Z digest=sha256:c5eec75256f3d0989690920f735fb44ce9e3d7e0f4478af6dbd968c911ab7367

Observation bc6b2cc5-6cf5-43a8-bd95-5439c8ec961f · inbound

Medoid Prototype Alignment for Cross-Plant Unknown Attack Detection in Industrial Control Systems cites this paper.

Medoid Prototype Alignment for Cross-Plant Unknown Attack Detection in Industrial Control Systems Large Language Models for Multimodal Deformable Image Registration

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-05-12T00:11:16.935174Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-07T15:41:52.882586Z digest=sha256:e07aad92a5c6bc5913cdcc3c6f576a536407308fcb201e4b0c6ab86336febf99