Paper Citation Record · LEDGER

GenerateCT: Text-Conditional Generation of 3D Chest CT Volumes

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2305.16037.

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

pith.paper-citation-record.v1
2305.16037 v5

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:53:18.568166Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T05:58:29.684695Z

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 db7c5edb-e025-4fce-915f-89d89fa96bbe · inbound

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

vesselFM: A Foundation Model for Universal 3D Blood Vessel Segmentation GenerateCT: Text-Conditional Generation of 3D Chest CT Volumes

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-12T12:16:47.542510Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f8997ac3-aa24-44df-afbd-b0dbb2c9dba5 · inbound

Development of a Large-scale Dataset of Chest Computed Tomography Reports in Japanese and a High-performance Finding Classification Model cites this paper.

Development of a Large-scale Dataset of Chest Computed Tomography Reports in Japanese and a High-performance Finding Classification Model GenerateCT: Text-Conditional Generation of 3D Chest CT Volumes

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-11T11:03:13.778697Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 82f5e4e5-e841-465c-a799-a8ee4321438f · inbound

ContextMRI: Enhancing Compressed Sensing MRI through Metadata Conditioning cites this paper.

ContextMRI: Enhancing Compressed Sensing MRI through Metadata Conditioning GenerateCT: Text-Conditional Generation of 3D Chest CT Volumes

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-10T21:39:36.247440Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2562da33-bb26-45f3-9642-44563ec6c929 · inbound

From large language models to multimodal AI: A scoping review on the potential of generative AI in medicine cites this paper.

From large language models to multimodal AI: A scoping review on the potential of generative AI in medicine GenerateCT: Text-Conditional Generation of 3D Chest CT Volumes

Reference 114

Resolution: unresolved; no resolver link, observed 2026-08-07T22:13:31.423580Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 85e23c1f-fb4e-4086-8235-bbdc0daaf435 · inbound

Causal Disentanglement for Robust Long-tail Medical Image Generation cites this paper.

Causal Disentanglement for Robust Long-tail Medical Image Generation GenerateCT: Text-Conditional Generation of 3D Chest CT Volumes

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-16T11:53:18.568166Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 04a681f1-44b3-4292-8d12-7c0e2061f91c · inbound

Structured Spectral Graph Learning for Anomaly Classification in 3D Chest CT Scans cites this paper.

Structured Spectral Graph Learning for Anomaly Classification in 3D Chest CT Scans GenerateCT: Text-Conditional Generation of 3D Chest CT Volumes

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-08-06T05:58:29.741088Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 9a05f811-0866-4326-9601-80f9f5696a7a · inbound

Structured Spectral Graph Representation Learning for Multi-label Abnormality Analysis from 3D CT Scans cites this paper.

Structured Spectral Graph Representation Learning for Multi-label Abnormality Analysis from 3D CT Scans GenerateCT: Text-Conditional Generation of 3D Chest CT Volumes

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-04T10:19:58.284742Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.