Paper Citation Record · LEDGER

Knowledge-Guided 3D CT Generation: A Conditioning-Centric Taxonomy

As of 15 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 1 inbound Pith citation observation for arXiv:2608.09992.

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

pith.paper-citation-record.v1
2608.09992 v1

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T00:53:04.314141Z

measured 31 of 31 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T15:19:18.416494Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-14T15:19:18.492956Z

Reference resolution

30 of 30 outbound references displayed

verified exact4
verified fuzzy16
unresolved10
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c671bbf7-3dd5-4462-839a-8c7c392f21f8 · outbound

This paper cites Radiology report conditional 3d ct generation with multi encoder latent diffusion model.arXiv preprint arXiv:2509.14780,.

Knowledge-Guided 3D CT Generation: A Conditioning-Centric Taxonomy Radiology report conditional 3d ct generation with multi encoder latent diffusion model.arXiv preprint arXiv:2509.14780,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-12T00:53:04.203861Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8c45a40a-9ce0-41ef-9cf6-1244e1464e8e · outbound

This paper cites Condi- tional diffusion models for semantic 3d brain mri synthe- sis.IEEE Journal of Biomedical and Health Informatics, 28(7):4084–4093,.

Knowledge-Guided 3D CT Generation: A Conditioning-Centric Taxonomy Condi- tional diffusion models for semantic 3d brain mri synthe- sis.IEEE Journal of Biomedical and Health Informatics, 28(7):4084–4093,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:53:04.997652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation b5cbc0aa-1ed1-4669-8835-44393abb2122 · outbound

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

Knowledge-Guided 3D CT Generation: A Conditioning-Centric Taxonomy cWDM: Conditional Wavelet Diffusion Models for Cross-Modality 3D Medical Image Synthesis

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-12T00:53:04.221608Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3b0bed85-19f8-4713-98c1-fab45d800a1c · outbound

This paper cites Text2CT: Towards 3D CT Volume Generation from Free-text Descriptions Using Diffusion Model.

Knowledge-Guided 3D CT Generation: A Conditioning-Centric Taxonomy Text2CT: Towards 3D CT Volume Generation from Free-text Descriptions Using Diffusion Model

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-12T00:53:04.225829Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 71bceb8e-ef01-4ae5-8140-5f0786a013a1 · outbound

This paper cites Developing gener- alist foundation models from a multimodal dataset for 3d computed tomography.arXiv preprint arXiv:2403.17834,.

Knowledge-Guided 3D CT Generation: A Conditioning-Centric Taxonomy Developing gener- alist foundation models from a multimodal dataset for 3d computed tomography.arXiv preprint arXiv:2403.17834,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-12T00:53:04.229970Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fb73bf4f-eb6d-4218-90c2-abd57125030c · outbound

This paper cites Medgen3d: A deep genera- tive framework for paired 3d image and mask generation.

Knowledge-Guided 3D CT Generation: A Conditioning-Centric Taxonomy Medgen3d: A deep genera- tive framework for paired 3d image and mask generation

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:53:04.985827Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 6dc4a27e-9a4f-485e-990f-10a6fb90d91b · outbound

This paper cites De- noising diffusion probabilistic models for 3d medical im- age generation.Scientific Reports, 13(1):7303,.

Knowledge-Guided 3D CT Generation: A Conditioning-Centric Taxonomy De- noising diffusion probabilistic models for 3d medical im- age generation.Scientific Reports, 13(1):7303,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:53:04.975465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 823fbe50-c793-4d80-828b-4d841d4a9345 · outbound

This paper cites Gener- ating synthetic data for medical imaging.Radiology, 312(3):e232471,.

Knowledge-Guided 3D CT Generation: A Conditioning-Centric Taxonomy Gener- ating synthetic data for medical imaging.Radiology, 312(3):e232471,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:53:04.965531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 8acc50c6-61d0-4abf-9092-c9e930d52b93 · outbound

This paper cites Med-lvdm: Medical latent variational diffusion model for medical im- age translation.Biomedical Signal Processing and Con- trol, 106:107735,.

Knowledge-Guided 3D CT Generation: A Conditioning-Centric Taxonomy Med-lvdm: Medical latent variational diffusion model for medical im- age translation.Biomedical Signal Processing and Con- trol, 106:107735,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:53:04.953970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation c7be0070-3d70-45cd-a603-5a7e5a73d3f1 · outbound

This paper cites 3d brain and heart vol- ume generative models: a survey.ACM Computing Sur- veys, 56(6):1–37,.

Knowledge-Guided 3D CT Generation: A Conditioning-Centric Taxonomy 3d brain and heart vol- ume generative models: a survey.ACM Computing Sur- veys, 56(6):1–37,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:53:04.942499Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 8f0983c7-fd95-44cf-8eab-28d6a8d7c74e · outbound

This paper cites Federated knowledge recycling: Privacy- preserving synthetic data sharing.Pattern Recognition Letters, 191:124–130,.

Knowledge-Guided 3D CT Generation: A Conditioning-Centric Taxonomy Federated knowledge recycling: Privacy- preserving synthetic data sharing.Pattern Recognition Letters, 191:124–130,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:53:04.930617Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 6a04cd59-8c0e-4651-aaca-2fcd083c302c · outbound

This paper cites 3d latent diffusion model for mr-only radiotherapy: Accurate and consistent synthetic ct generation.Diagnostics, 15(23):3010,.

Knowledge-Guided 3D CT Generation: A Conditioning-Centric Taxonomy 3d latent diffusion model for mr-only radiotherapy: Accurate and consistent synthetic ct generation.Diagnostics, 15(23):3010,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:53:04.919393Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 0462a2bb-9bc2-4022-b3e0-183b8b516745 · outbound

This paper cites From Alignment to Synthesis Contrastive Volumetric Grounding for Text-to-CT Generation.

Knowledge-Guided 3D CT Generation: A Conditioning-Centric Taxonomy From Alignment to Synthesis Contrastive Volumetric Grounding for Text-to-CT Generation

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-12T00:53:04.261482Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2108bcaa-6243-44d0-b3c3-be42cd427c5e · outbound

This paper cites Land: Lung and nodule diffusion for 3d chest ct synthesis with anatomical guidance.arXiv preprint arXiv:2510.18446,.

Knowledge-Guided 3D CT Generation: A Conditioning-Centric Taxonomy Land: Lung and nodule diffusion for 3d chest ct synthesis with anatomical guidance.arXiv preprint arXiv:2510.18446,

Reference 17

Resolution: verified exact; raw_fallback, observed 2026-08-12T00:53:04.670092Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 549a94e5-497b-4494-a760-0ada9b46eb95 · outbound

This paper cites Synthetic ct generation from mri using 3d transformer-based denoising diffusion model.Medical Physics, 51(4):2538–2548,.

Knowledge-Guided 3D CT Generation: A Conditioning-Centric Taxonomy Synthetic ct generation from mri using 3d transformer-based denoising diffusion model.Medical Physics, 51(4):2538–2548,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:53:04.907908Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 0ab9e5e3-9771-4b3a-b4c8-aa200eab7400 · outbound

This paper cites Medlord: A medical low-resource diffusion model for high-resolution 3d ct image synthesis.

Knowledge-Guided 3D CT Generation: A Conditioning-Centric Taxonomy Medlord: A medical low-resource diffusion model for high-resolution 3d ct image synthesis

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:53:04.896414Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 7990b3b0-076c-4411-87b7-890e450636ab · outbound

This paper cites Trace: Temporally reliable anatomically-conditioned 3d ct gen- eration with enhanced efficiency.

Knowledge-Guided 3D CT Generation: A Conditioning-Centric Taxonomy Trace: Temporally reliable anatomically-conditioned 3d ct gen- eration with enhanced efficiency

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:53:04.886262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 639a5795-0d17-4872-bd1a-79b9337b96e9 · outbound

This paper cites Mr to ct synthesis using 3d la- tent diffusion.

Knowledge-Guided 3D CT Generation: A Conditioning-Centric Taxonomy Mr to ct synthesis using 3d la- tent diffusion

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:53:04.875383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 7d0c38db-8d63-436f-9a11-c94050282aa2 · outbound

This paper cites Nodmaisi: Nodule- oriented medical ai for synthetic imaging.arXiv preprint arXiv:2512.18038,.

Knowledge-Guided 3D CT Generation: A Conditioning-Centric Taxonomy Nodmaisi: Nodule- oriented medical ai for synthetic imaging.arXiv preprint arXiv:2512.18038,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-12T00:53:04.284055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3ce0b91e-b1af-4455-a1e3-a1d43e37e384 · outbound

This paper cites [Wuet al., 2025 ] Jing Wu, Yuli Wang, Zhusi Zhong, Weihua Liao, Natalia Trayanova, Zhicheng Jiao, and Harrison X Bai.

Knowledge-Guided 3D CT Generation: A Conditioning-Centric Taxonomy [Wuet al., 2025 ] Jing Wu, Yuli Wang, Zhusi Zhong, Weihua Liao, Natalia Trayanova, Zhicheng Jiao, and Harrison X Bai

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:53:04.862971Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 59f279a0-6a29-4948-8eae-d16d841ebf8a · outbound

This paper cites Medsyn: text-guided anatomy-aware synthe- sis of high-fidelity 3-d ct images.IEEE Transactions on Medical Imaging, 43(10):3648–3660,.

Knowledge-Guided 3D CT Generation: A Conditioning-Centric Taxonomy Medsyn: text-guided anatomy-aware synthe- sis of high-fidelity 3-d ct images.IEEE Transactions on Medical Imaging, 43(10):3648–3660,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:53:04.851526Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e0dc0898-8c48-4969-ba6c-c8cbd05fdf46 · outbound

This paper cites Surf2CT: Cascaded 3D Flow Matching Models for Torso 3D CT Synthesis from Skin Surface.

Knowledge-Guided 3D CT Generation: A Conditioning-Centric Taxonomy Surf2CT: Cascaded 3D Flow Matching Models for Torso 3D CT Synthesis from Skin Surface

Reference 25

Resolution: verified exact; local_arxiv, observed 2026-08-12T00:53:04.528128Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation da59b801-e9af-48d1-9ccd-b404581c9706 · outbound

This paper cites Ct synthesis with conditional diffusion models for abdominal lymph node segmentation.

Knowledge-Guided 3D CT Generation: A Conditioning-Centric Taxonomy Ct synthesis with conditional diffusion models for abdominal lymph node segmentation

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-12T00:53:04.299015Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fd2c5be6-ec18-4124-a1f1-5ca618df0a96 · outbound

This paper cites Maisi-v2: Accelerated 3d high-resolution medical im- age synthesis with rectified flow and region-specific con- trastive loss.arXiv preprint arXiv:2508.05772,.

Knowledge-Guided 3D CT Generation: A Conditioning-Centric Taxonomy Maisi-v2: Accelerated 3d high-resolution medical im- age synthesis with rectified flow and region-specific con- trastive loss.arXiv preprint arXiv:2508.05772,

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-12T00:53:04.302871Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7c8b9571-fa89-48d2-ba01-a8c98ac83546 · outbound

This paper cites 3D Wavelet Latent Diffusion Model for Whole-Body MR-to-CT Modality Translation.

Knowledge-Guided 3D CT Generation: A Conditioning-Centric Taxonomy 3D Wavelet Latent Diffusion Model for Whole-Body MR-to-CT Modality Translation

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-12T00:53:04.306187Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 012f1d1a-ce69-48cc-a174-1daa30ba688c · outbound

This paper cites Generative Artificial Intelligence in Medical Imaging: Foundations, Progress, and Clinical Translation.

Knowledge-Guided 3D CT Generation: A Conditioning-Centric Taxonomy Generative Artificial Intelligence in Medical Imaging: Foundations, Progress, and Clinical Translation

Reference 29

Resolution: verified exact; local_arxiv, observed 2026-08-12T00:53:04.363009Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation d26b81ce-0748-49ff-b1a3-31867e096223 · outbound

This paper cites Generative Enhancement for 3D Medical Images.

Knowledge-Guided 3D CT Generation: A Conditioning-Centric Taxonomy Generative Enhancement for 3D Medical Images

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-12T00:53:04.314141Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2dc6e384-44ca-41a7-beba-6bfe3d5037ca · outbound

This paper cites Lung-DDPM: Semantic Layout-guided Diffusion Models for Thoracic CT Image Synthesis.

Knowledge-Guided 3D CT Generation: A Conditioning-Centric Taxonomy Lung-DDPM: Semantic Layout-guided Diffusion Models for Thoracic CT Image Synthesis

Reference 2023

Resolution: verified exact; local_arxiv, observed 2026-08-12T00:53:04.695504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation c475c1d3-110e-4780-bb69-63473f508a1b · outbound

This paper cites Towards generalizable tumor synthesis.

Knowledge-Guided 3D CT Generation: A Conditioning-Centric Taxonomy Towards generalizable tumor synthesis

Reference 2024

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:53:05.008597Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 5e6b657e-23ad-48e3-b03a-17d118164c40 · outbound

This paper cites Deep generative models for 3d content creation: A com- prehensive survey of architectures, challenges, and emerg- ing trends.

Knowledge-Guided 3D CT Generation: A Conditioning-Centric Taxonomy Deep generative models for 3d content creation: A com- prehensive survey of architectures, challenges, and emerg- ing trends

Reference 2025

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:53:05.021375Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Pith citing papers

Observation 663f67bf-aa8b-4811-8bdf-17b8a6ce44fa · inbound

Novel Knowledge-Guided Generative Methods for Synthetic Transcriptomic Data cites this paper.

Novel Knowledge-Guided Generative Methods for Synthetic Transcriptomic Data Knowledge-Guided 3D CT Generation: A Conditioning-Centric Taxonomy

Reference 9

Resolution: metadata mismatch; local_arxiv, observed 2026-08-14T15:19:18.500903Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.