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Paper Citation Record · LEDGER

Deep Generative Models for 3D Medical Image Synthesis

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2410.17664.

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

pith.paper-citation-record.v1
2410.17664 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 2026-08-14T06:32:32.682623+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T12:27:41.666081Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-12T12:16:48.067123Z

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 3a07ca50-49e7-4870-9e45-4141cb98740c · inbound

cWDM: Conditional Wavelet Diffusion Models for Cross-Modality 3D Medical Image Synthesis cites this paper.

cWDM: Conditional Wavelet Diffusion Models for Cross-Modality 3D Medical Image Synthesis Deep Generative Models for 3D Medical Image Synthesis

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-12T12:27:41.666081Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T12:27:41.666081Z digest=sha256:1ae512f951dce3ca5a40b3faeee361612f5f041f7b1d26c653bf03c8747b5ccf

Observation 46ef7c7d-27f0-4fcf-b15e-ca5c184e253c · inbound

vesselFM: A Foundation Model for Universal 3D Blood Vessel Segmentation cites this paper.

vesselFM: A Foundation Model for Universal 3D Blood Vessel Segmentation Deep Generative Models for 3D Medical Image Synthesis

Reference 16

Resolution
verified exact
local_arxiv, observed 2026-08-12T12:16:48.074508Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T12:16:47.527692Z digest=sha256:cac388b4440f42619c1c90fd87ecf69983fcdff9b1081e762df9d8c09d8455cd