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Paper Citation Record · LEDGER

Surf2CT: Cascaded 3D Flow Matching Models for Torso 3D CT Synthesis from Skin Surface

As of 19 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 1 inbound Pith citation observation for arXiv:2505.22511.

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

pith.paper-citation-record.v1
2505.22511 v2

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:09:31.490405Z

measured 28 of 28 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T00:53:04.294677Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-12T00:53:04.524150Z

Reference resolution

27 of 27 outbound references displayed

  • verified exact1
  • verified fuzzy14
  • unresolved11
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6148d7bd-bc31-4d25-83e3-cfd8d7da7e1d · outbound

This paper cites an unresolved cited work.

Surf2CT: Cascaded 3D Flow Matching Models for Torso 3D CT Synthesis from Skin Surface Unresolved cited work

Reference 1

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unresolved
raw_fallback, observed 2026-08-07T13:09:36.310602Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T13:09:28.432752Z digest=sha256:b458c0fd36e1922759bbabeae05e9046fd43baff91cf24607724efc812803e31

Observation 812c7635-6c36-4756-bde0-2428ae9d25a8 · outbound

This paper cites 3d body scanning and healthcare applications.Computer, 40(7):28–34, 2007.

Surf2CT: Cascaded 3D Flow Matching Models for Torso 3D CT Synthesis from Skin Surface 3d body scanning and healthcare applications.Computer, 40(7):28–34, 2007

Reference 2

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verified fuzzy
raw_fallback, observed 2026-08-07T13:09:36.100654Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T13:09:28.546137Z digest=sha256:6134f1e53715ed9f327c669c3c584733a3d1c19758bee5b9e9b54374c320b49c

Observation 875c5fa2-ecb6-4dd2-9150-5a3e0e1e201c · outbound

This paper cites Deep neural network for automatic volumetric segmentation of whole-body ct images for body composition assessment.Clinical Nutrition, 40(8):5038–5046, 2021.

Surf2CT: Cascaded 3D Flow Matching Models for Torso 3D CT Synthesis from Skin Surface Deep neural network for automatic volumetric segmentation of whole-body ct images for body composition assessment.Clinical Nutrition, 40(8):5038–5046, 2021

Reference 3

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verified fuzzy
raw_fallback, observed 2026-08-07T13:09:35.798705Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T13:09:28.676170Z digest=sha256:b07f97726bac0866fb98583b168838fc62f392cc1d71c0acdac9880bad32ee27

Observation 35164fee-8d85-4e0d-b7b9-31367df835e9 · outbound

This paper cites Abdominal obesity and the metabolic syndrome: contribution to global cardiometabolic risk.Arteriosclerosis, thrombosis, and vascular biology, 28(6):1039–1049, 2008.

Surf2CT: Cascaded 3D Flow Matching Models for Torso 3D CT Synthesis from Skin Surface Abdominal obesity and the metabolic syndrome: contribution to global cardiometabolic risk.Arteriosclerosis, thrombosis, and vascular biology, 28(6):1039–1049, 2008

Reference 4

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verified fuzzy
raw_fallback, observed 2026-08-07T13:09:35.475722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T13:09:28.814693Z digest=sha256:1bda7f2691e0b38621bb1028ea5a77848cd649f15dacb20c261d9962259930bc

Observation 4d0c0757-aa3f-4d10-98ed-14192a49987b · outbound

This paper cites Sarcopenia.The Lancet, 393(10191):2636–2646, 2019.

Surf2CT: Cascaded 3D Flow Matching Models for Torso 3D CT Synthesis from Skin Surface Sarcopenia.The Lancet, 393(10191):2636–2646, 2019

Reference 5

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verified fuzzy
raw_fallback, observed 2026-08-07T13:09:35.203256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T13:09:28.943761Z digest=sha256:5bb5804d79e9ab53903061729f17dcbb29b7e118ea715991dd58f6cec1270714

Observation ee09afc0-8c11-41d8-b1e6-35347254affd · outbound

This paper cites Digital twin assisted surgery, concept, opportunities, and challenges.npj Digital Medicine, 8(1):32, 2025.

Surf2CT: Cascaded 3D Flow Matching Models for Torso 3D CT Synthesis from Skin Surface Digital twin assisted surgery, concept, opportunities, and challenges.npj Digital Medicine, 8(1):32, 2025

Reference 6

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verified fuzzy
raw_fallback, observed 2026-08-07T13:09:34.954895Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T13:09:29.072554Z digest=sha256:a2ecc997e4991c124fc6873aa2e9c4f902475c2f30f2b5dda61dbecd2dccb239

Observation 8376959b-8ff0-47dd-b003-8411d0fefe75 · outbound

This paper cites Generative modeling by estimating gradients of the data distribution.Advances in neural information processing systems, 32, 2019.

Surf2CT: Cascaded 3D Flow Matching Models for Torso 3D CT Synthesis from Skin Surface Generative modeling by estimating gradients of the data distribution.Advances in neural information processing systems, 32, 2019

Reference 7

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no resolver link, observed 2026-08-07T13:09:29.194442Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:09:29.194442Z digest=sha256:e6025bcc0291c8eb453e524b94f6be82a186b1a7e02c7132a5f1f83b1a091215

Observation 49d8c756-7732-41f1-9f90-eb79782a96db · outbound

This paper cites Flow Matching for Generative Modeling.

Surf2CT: Cascaded 3D Flow Matching Models for Torso 3D CT Synthesis from Skin Surface Flow Matching for Generative Modeling

Reference 8

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unresolved
no resolver link, observed 2026-08-07T13:09:29.306138Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:09:29.306138Z digest=sha256:0f849b293eb9902a72f084e9138bd970fe856399ab779f5ba2c93d622128d645

Observation 6ddaaf44-9e81-488f-8fa6-2513f389a923 · outbound

This paper cites Lion: Latent point diffusion models for 3d shape generation.Advances in Neural Information Processing Systems, 35:10021–10039, 2022.

Surf2CT: Cascaded 3D Flow Matching Models for Torso 3D CT Synthesis from Skin Surface Lion: Latent point diffusion models for 3d shape generation.Advances in Neural Information Processing Systems, 35:10021–10039, 2022

Reference 9

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no resolver link, observed 2026-08-07T13:09:29.409049Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:09:29.409049Z digest=sha256:107c644f8ff73e11c86757692081b3e8c9b6f09950d15024aa6d16b34000cb66

Observation 5234a27b-ba9a-4e89-ab8f-4ea6cd1cb786 · outbound

This paper cites SC-Diff: 3D Shape Completion with Latent Diffusion Models.

Surf2CT: Cascaded 3D Flow Matching Models for Torso 3D CT Synthesis from Skin Surface SC-Diff: 3D Shape Completion with Latent Diffusion Models

Reference 10

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unresolved
no resolver link, observed 2026-08-07T13:09:29.523705Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:09:29.523705Z digest=sha256:2c511c59ec2e32bd631cf77c03be3441ef9fb26a810ee7b39981360acfe636ff

Observation 3201b5fa-02c9-48b3-9744-a48c71b3367b · outbound

This paper cites Maisi: Medical ai for synthetic imaging.

Surf2CT: Cascaded 3D Flow Matching Models for Torso 3D CT Synthesis from Skin Surface Maisi: Medical ai for synthetic imaging

Reference 11

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verified fuzzy
raw_fallback, observed 2026-08-07T13:09:34.669862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T13:09:29.658669Z digest=sha256:326459033062fa67f77a32fbfc5389c88a04a6f2744a78c39283023cbab6674c

Observation 3c8c75c2-92e2-4e74-9f4f-be516ee5d61f · outbound

This paper cites Patient-specific reconstruction of volumetric computed tomography images from a single projection view via deep learning.Nature biomedical engineering, 3(11):880–888, 2019.

Surf2CT: Cascaded 3D Flow Matching Models for Torso 3D CT Synthesis from Skin Surface Patient-specific reconstruction of volumetric computed tomography images from a single projection view via deep learning.Nature biomedical engineering, 3(11):880–888, 2019

Reference 12

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verified fuzzy
raw_fallback, observed 2026-08-07T13:09:34.374132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T13:09:29.759853Z digest=sha256:d27cccf088b13a09938cf389d77addff027f38c803480d504f910ec48c1a5258

Observation 9e52f1ae-1bde-4f98-aa6f-1f7368a1745e · outbound

This paper cites Synthetic ct generation from mri using 3d transformer-based denoising diffusion model.Medical Physics, 51(4):2538–2548, 2024.

Surf2CT: Cascaded 3D Flow Matching Models for Torso 3D CT Synthesis from Skin Surface Synthetic ct generation from mri using 3d transformer-based denoising diffusion model.Medical Physics, 51(4):2538–2548, 2024

Reference 13

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no resolver link, observed 2026-08-07T13:09:29.875870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:09:29.875870Z digest=sha256:b516d9740d5d162a6a2aae9b38d23a5fc0fd4026909db67985d5a394168a5079

Observation e697fa32-f24c-4681-9e31-8d20542532dd · outbound

This paper cites 4d xcat phantom for multimodality imaging research.Medical physics, 37(9):4902–4915, 2010.

Surf2CT: Cascaded 3D Flow Matching Models for Torso 3D CT Synthesis from Skin Surface 4d xcat phantom for multimodality imaging research.Medical physics, 37(9):4902–4915, 2010

Reference 14

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verified fuzzy
raw_fallback, observed 2026-08-07T13:09:34.036605Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T13:09:30.038252Z digest=sha256:25ba6649a6de1e22eaea92e2ebda81853ee807ac4f2830b7864d92595fce6d44

Observation 36a6a34b-b678-4cc0-9df0-f7863d0d8d08 · outbound

This paper cites Boss: Bones, organs and skin shape model.Computers in Biology and Medicine, 165:107383, 2023.

Surf2CT: Cascaded 3D Flow Matching Models for Torso 3D CT Synthesis from Skin Surface Boss: Bones, organs and skin shape model.Computers in Biology and Medicine, 165:107383, 2023

Reference 15

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verified fuzzy
raw_fallback, observed 2026-08-07T13:09:33.720105Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T13:09:30.162837Z digest=sha256:c01cf0113dbef4e5e64d796b0254be7d9ad7a91d0859da21acb49abc0d372c5c

Observation e6d5c21b-411a-467c-a46b-758588eb04ab · outbound

This paper cites X2ct-gan: reconstructing ct from biplanar x-rays with generative adversarial networks.

Surf2CT: Cascaded 3D Flow Matching Models for Torso 3D CT Synthesis from Skin Surface X2ct-gan: reconstructing ct from biplanar x-rays with generative adversarial networks

Reference 16

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raw_fallback, observed 2026-08-07T13:09:33.493797Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T13:09:30.300330Z digest=sha256:ce2e4910085aea9c7ee1856fb6a3fe23570d2d8b7a7bb1b91539c9ecc3c6280e

Observation 3d95d63f-212d-4ad6-9785-2c4849a21905 · outbound

This paper cites DIFR3CT: Latent Diffusion for Probabilistic 3D CT Reconstruction from Few Planar X-Rays.

Surf2CT: Cascaded 3D Flow Matching Models for Torso 3D CT Synthesis from Skin Surface DIFR3CT: Latent Diffusion for Probabilistic 3D CT Reconstruction from Few Planar X-Rays

Reference 17

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no resolver link, observed 2026-08-07T13:09:30.368996Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:09:30.368996Z digest=sha256:f11c93e0591f0350a69da66de445a0b8938d36960544cb559083d63949c44e90

Observation cd7f26c9-83e6-43ab-9f73-9f7db42ace53 · outbound

This paper cites A geometry-informed deep learning framework for ultra-sparse 3d tomographic image reconstruction.Computers in Biology and Medicine, 148:105710, 2022.

Surf2CT: Cascaded 3D Flow Matching Models for Torso 3D CT Synthesis from Skin Surface A geometry-informed deep learning framework for ultra-sparse 3d tomographic image reconstruction.Computers in Biology and Medicine, 148:105710, 2022

Reference 18

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verified fuzzy
raw_fallback, observed 2026-08-07T13:09:33.229393Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T13:09:30.462632Z digest=sha256:d75d496a9391dc758b04d397d8a3a810772099e6dcd0d1ab9b1c43e9ab502208

Observation 9af45def-7ef1-4bd0-a5eb-42f1aa4013b7 · outbound

This paper cites seg2med: a bridge from artificial anatomy to multimodal medical images.

Surf2CT: Cascaded 3D Flow Matching Models for Torso 3D CT Synthesis from Skin Surface seg2med: a bridge from artificial anatomy to multimodal medical images

Reference 19

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metadata mismatch
local_arxiv, observed 2026-08-07T13:09:32.181496Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T13:09:30.547025Z digest=sha256:1c74b789da92ef7ba6c06dfa53de9bff9d3fd31a98bdc5fb4077fac44255c1d6

Observation b6e207b3-03c7-4825-93d0-94527474cd85 · outbound

This paper cites Diffcomplete: Diffusion-based generative 3d shape completion.Advances in neural information processing systems, 36:75951–75966, 2023.

Surf2CT: Cascaded 3D Flow Matching Models for Torso 3D CT Synthesis from Skin Surface Diffcomplete: Diffusion-based generative 3d shape completion.Advances in neural information processing systems, 36:75951–75966, 2023

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:09:33.024183Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T13:09:30.653332Z digest=sha256:fbcc894a462249b9486165b3a42199d569637502d511181402d7a9056c7a51b9

Observation a55cea43-dded-41b8-b976-a4fb0381d86b · outbound

This paper cites Patch diffusion: Faster and more data-efficient training of diffusion models.Advances in neural information processing systems, 36:72137–72154, 2023.

Surf2CT: Cascaded 3D Flow Matching Models for Torso 3D CT Synthesis from Skin Surface Patch diffusion: Faster and more data-efficient training of diffusion models.Advances in neural information processing systems, 36:72137–72154, 2023

Reference 21

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unresolved
no resolver link, observed 2026-08-07T13:09:30.764466Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:09:30.764466Z digest=sha256:5e4ddf9d4c79a530629431c567e749fb3328b46d1afc734643ba50e528a3b17e

Observation 428ffaa3-122d-417a-8fc4-99e490aac93c · outbound

This paper cites Analyzing and improving the training dynamics of diffusion models.

Surf2CT: Cascaded 3D Flow Matching Models for Torso 3D CT Synthesis from Skin Surface Analyzing and improving the training dynamics of diffusion models

Reference 22

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no resolver link, observed 2026-08-07T13:09:30.890498Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:09:30.890498Z digest=sha256:be8d4d3438fd0fc9756b21d272f8e7a4550d4b4d8b3a27b68c69a425b04b11d8

Observation 64f4d6c3-4ca5-4ca5-996c-11e6770269c3 · outbound

This paper cites an unresolved cited work.

Surf2CT: Cascaded 3D Flow Matching Models for Torso 3D CT Synthesis from Skin Surface Unresolved cited work

Reference 23

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no resolver link, observed 2026-08-07T13:09:31.032689Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:09:31.032689Z digest=sha256:ff23d30d3fb6a0d04bb0f1fb05f0c7f0bdeff96ae71fdf3229373dd1190abf02

Observation 2457ce09-a6af-403e-a0cc-890a12002417 · outbound

This paper cites A whole-body fdg-pet/ct dataset with manually annotated tumor lesions.Scientific Data, 9(1):601, 2022.

Surf2CT: Cascaded 3D Flow Matching Models for Torso 3D CT Synthesis from Skin Surface A whole-body fdg-pet/ct dataset with manually annotated tumor lesions.Scientific Data, 9(1):601, 2022

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:09:32.756909Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T13:09:31.287209Z digest=sha256:54b7b2f7ee2f9556067b4583442a42227af6cecd170b9b390019d5c746f59357

Observation 4e330c49-60aa-48ff-bc45-588d3e31d92b · outbound

This paper cites Totalseg- mentator: robust segmentation of 104 anatomic structures in ct images.Radiology: Artificial Intelligence, 5(5):e230024, 2023.

Surf2CT: Cascaded 3D Flow Matching Models for Torso 3D CT Synthesis from Skin Surface Totalseg- mentator: robust segmentation of 104 anatomic structures in ct images.Radiology: Artificial Intelligence, 5(5):e230024, 2023

Reference 25

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verified fuzzy
raw_fallback, observed 2026-08-07T13:09:32.447489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T13:09:31.392254Z digest=sha256:d327f0e8ddb8eb808efbc6ea54e76594d4207a573d0837bd2bebf0a266e8a324

Observation cead43f7-5255-4306-a0fd-673a8928f178 · outbound

This paper cites Automated muscle and fat segmentation in computed tomography for comprehensive body composition analysis.

Surf2CT: Cascaded 3D Flow Matching Models for Torso 3D CT Synthesis from Skin Surface Automated muscle and fat segmentation in computed tomography for comprehensive body composition analysis

Reference 26

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verified exact
raw_fallback, observed 2026-08-07T13:09:31.926499Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T13:09:31.490405Z digest=sha256:309f339f08bae7b0ea05cab9d52cecd2a0ed5aca8a795f4dca762cfbdb43198f

Observation bfcf33c0-eaf7-4702-a623-639e5d5a7d2f · outbound

This paper cites Flow Matching Guide and Code.

Surf2CT: Cascaded 3D Flow Matching Models for Torso 3D CT Synthesis from Skin Surface Flow Matching Guide and Code

Reference 2024

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no resolver link, observed 2026-08-07T13:09:31.179339Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:09:31.179339Z digest=sha256:3d5b9997bbb0f1354592ac7933de970f2f1e6d60f228f2ddca09dd220804138e

Pith citing papers

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

Knowledge-Guided 3D CT Generation: A Conditioning-Centric Taxonomy cites this paper.

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T00:53:04.294677Z digest=sha256:1f96911ac6e7990bc31599d5efa57033f66034cc74ecbb50c53d64eaf0fae569