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Paper Citation Record · LEDGER

Generative AI for Medical Imaging: extending the MONAI Framework

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2307.15208.

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

pith.paper-citation-record.v1
2307.15208 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:54:10.853160Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T20:28:55.782864Z

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 da898603-4c01-4e02-bfd9-51e8ebed0f57 · inbound

VQalAttent: a Transparent Speech Generation Pipeline based on Transformer-learned VQ-VAE Latent Space cites this paper.

VQalAttent: a Transparent Speech Generation Pipeline based on Transformer-learned VQ-VAE Latent Space Generative AI for Medical Imaging: extending the MONAI Framework

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-12T15:07:25.352336Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:07:25.352336Z digest=sha256:4dcf377f099e45dc6aa967e7b149af5a6d05fb41e834c554520d4774754aa288

Observation 3f49225a-1187-4cd6-a9c9-88daefef9835 · inbound

ReFormer: Generating Radio Fakes for Data Augmentation cites this paper.

ReFormer: Generating Radio Fakes for Data Augmentation Generative AI for Medical Imaging: extending the MONAI Framework

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-10T22:58:38.522635Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:58:38.522635Z digest=sha256:690e6cb79794af47ecd4544f2effec6b8212d6b06fea517d6115cd9909ed7c3e

Observation 83763208-eeba-4589-8b29-3fd1884d42cd · inbound

A Generative Framework for Bidirectional Image-Report Understanding in Chest Radiography cites this paper.

A Generative Framework for Bidirectional Image-Report Understanding in Chest Radiography Generative AI for Medical Imaging: extending the MONAI Framework

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-08T17:25:27.534754Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T17:25:27.534754Z digest=sha256:3d2d3b27454423c27a605ce675f9da97ac16498d8a22b697a131171883932e77

Observation 64d7ef3b-236c-4004-9468-8288ae96b3d7 · inbound

Brain Latent Progression: Individual-based Spatiotemporal Disease Progression on 3D Brain MRIs via Latent Diffusion cites this paper.

Brain Latent Progression: Individual-based Spatiotemporal Disease Progression on 3D Brain MRIs via Latent Diffusion Generative AI for Medical Imaging: extending the MONAI Framework

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-08T04:45:53.156656Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T04:45:53.156656Z digest=sha256:d25e3770e31dfaf76e3b5a1dc2c5eee44819e11604287b98116878d739a3ec18

Observation 9ddced0d-4970-4a8e-854b-7a20711797e5 · inbound

Towards Better Cephalometric Landmark Detection with Diffusion Data Generation cites this paper.

Towards Better Cephalometric Landmark Detection with Diffusion Data Generation Generative AI for Medical Imaging: extending the MONAI Framework

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-15T22:54:10.853160Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:54:10.853160Z digest=sha256:d8a784fe5c5d6ad8fb60589bfad0cca1dbffb5520149bef4f6a2ecb414a9c07e

Observation 199b86cb-c880-4131-a7a2-1cced5b1e172 · inbound

Cascaded 3D Diffusion Models for Whole-body 3D 18-F FDG PET/CT synthesis from Demographics cites this paper.

Cascaded 3D Diffusion Models for Whole-body 3D 18-F FDG PET/CT synthesis from Demographics Generative AI for Medical Imaging: extending the MONAI Framework

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-07T13:10:02.553167Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:10:02.553167Z digest=sha256:7f4203bbca00bdea1170ff872e1e9fab0c6e425770119e36abbdffe0f2df7312

Observation 7d510f46-d361-474f-8ac4-2c39997244a0 · inbound

Neural Autoregressive Modeling of Brain Aging cites this paper.

Neural Autoregressive Modeling of Brain Aging Generative AI for Medical Imaging: extending the MONAI Framework

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-06T12:00:26.015965Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:00:26.015965Z digest=sha256:9fad02c4c9694d0910fc02d856e18215fcf836998b03622f458f09041b4752d6

Observation 3788cbbb-d85c-4180-812d-43aa62af9a77 · inbound

MRpro - open PyTorch-based MR reconstruction and processing package cites this paper.

MRpro - open PyTorch-based MR reconstruction and processing package Generative AI for Medical Imaging: extending the MONAI Framework

Reference 67

Resolution
unresolved
no resolver link, observed 2026-08-06T11:05:35.612301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T11:05:35.612301Z digest=sha256:8827deac1af836c53db090d84103bba50fc905ab220937317260701ae020daaa

Observation 1b3b009c-e7f3-47f2-8ed2-b97a6ccc540f · inbound

GenTract: Generative Global Tractography cites this paper.

GenTract: Generative Global Tractography Generative AI for Medical Imaging: extending the MONAI Framework

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-03T21:56:12.913631Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T21:56:12.913631Z digest=sha256:c94bd4c6c05493b3a9dd0bcc980bfae60b4e0b812d24af374031fed5ffe13d54

Observation aa5a289d-26ce-46ba-a5ca-523182279ec6 · inbound

BrainWorld: A Structural-Prior-Conditioned Generative Model for Whole-Brain 4D fMRI Dynamics cites this paper.

BrainWorld: A Structural-Prior-Conditioned Generative Model for Whole-Brain 4D fMRI Dynamics Generative AI for Medical Imaging: extending the MONAI Framework

Reference 41

Resolution
verified exact
arxiv_id, observed 2026-07-03T20:28:55.784591Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-06-27T01:18:46.958501Z digest=sha256:743547baa5cf5a17171a94a42f371bfb673fc6067d4ccb19c9075122539395fd

Observation b2d0f323-6025-416d-b29d-58597cee1270 · inbound

Dense Temporal Contrast Synthesis via Conditioned Latent Transport cites this paper.

Dense Temporal Contrast Synthesis via Conditioned Latent Transport Generative AI for Medical Imaging: extending the MONAI Framework

Reference 77

Resolution
unresolved
no resolver link, observed 2026-08-03T07:58:34.574346Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T07:58:34.574346Z digest=sha256:0d0c9ee81dfa550d67d57786a98de17832bf53dabb543e1b612ae6e2c4b69404

Observation 82e029bd-6f58-46b2-85c1-10ae519d6edc · inbound

Tokenizer Generator Coupling in Medical Image Generation cites this paper.

Tokenizer Generator Coupling in Medical Image Generation Generative AI for Medical Imaging: extending the MONAI Framework

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-11T00:27:00.522005Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T00:27:00.522005Z digest=sha256:9a0a9c2c80211db72a592544a79a77bc5b39505517b60f2298f58746e6f57085