Paper Citation Record · LEDGER

Multi-Task Diffusion Approach For Prediction of Glioma Tumor Progression

As of 23 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 0 inbound Pith citation observations for arXiv:2509.10824.

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

pith.paper-citation-record.v1
2509.10824 v1

Coverage vector

measured 35 of 35 reference resolution

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Source: paper_references, paper_reference_links, observed 2026-08-15T15:56:27.960006Z

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Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

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

Source: cited_works

Reference resolution

35 of 35 outbound references displayed

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External citation measurements

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Outbound references

Observation 130f45ce-3c66-431e-b174-a8787c8b8fe1 · outbound

This paper cites Modeling of glioma growth with mass effect by longitudinal magnetic resonance imag- ing.IEEE Transactions on Biomedical Engineering, 68(12):3713–3724, 2021.

Multi-Task Diffusion Approach For Prediction of Glioma Tumor Progression Modeling of glioma growth with mass effect by longitudinal magnetic resonance imag- ing.IEEE Transactions on Biomedical Engineering, 68(12):3713–3724, 2021

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:56:28.314908Z

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Observation 9759d0ee-adb2-4a19-a40d-0494df3e4906 · outbound

This paper cites Radiotherapy plus concomitant and adjuvant temozolomide for glioblastoma.New England journal of medicine, 352(10):987–996, 2005.

Multi-Task Diffusion Approach For Prediction of Glioma Tumor Progression Radiotherapy plus concomitant and adjuvant temozolomide for glioblastoma.New England journal of medicine, 352(10):987–996, 2005

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:56:28.304782Z

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Observation e135f0c6-b817-4def-9bfb-5ec960ab1e7c · outbound

This paper cites Assessment of brain tumor cell motility in vivo and in vitro.Journal of neurosurgery, 82(4):615–622, 1995.

Multi-Task Diffusion Approach For Prediction of Glioma Tumor Progression Assessment of brain tumor cell motility in vivo and in vitro.Journal of neurosurgery, 82(4):615–622, 1995

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:56:28.294721Z

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Observation eae7837d-9ca9-499e-81a0-cc16ace1f2e2 · outbound

This paper cites Prediction of brain tu- mor recurrence location based on multi-modal fusion and nonlinear correlation learning.Computerized Medical Imaging and Graphics, 106:102218, 2023.

Multi-Task Diffusion Approach For Prediction of Glioma Tumor Progression Prediction of brain tu- mor recurrence location based on multi-modal fusion and nonlinear correlation learning.Computerized Medical Imaging and Graphics, 106:102218, 2023

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:56:28.284804Z

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Observation 4725066b-9a4d-42d1-a4b2-fec4f931f487 · outbound

This paper cites Multi-modal mri synthesis with condi- tional latent diffusion models for data augmentation in tu- mor segmentation.Computerized Medical Imaging and Graphics, page 102532, 2025.

Multi-Task Diffusion Approach For Prediction of Glioma Tumor Progression Multi-modal mri synthesis with condi- tional latent diffusion models for data augmentation in tu- mor segmentation.Computerized Medical Imaging and Graphics, page 102532, 2025

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:56:28.274995Z

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Observation 091ed162-5b03-43bd-920e-86d50102b296 · outbound

This paper cites an unresolved cited work.

Multi-Task Diffusion Approach For Prediction of Glioma Tumor Progression Unresolved cited work

Reference 6

Resolution: unresolved; raw_fallback, observed 2026-08-15T15:56:28.265407Z

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Observation bb7ab3f2-6b47-43d0-8294-061444e35030 · outbound

This paper cites Deep learning approaches for data augmenta- tion in medical imaging: A review.Journal of Imaging, 9(4):81, 2023.

Multi-Task Diffusion Approach For Prediction of Glioma Tumor Progression Deep learning approaches for data augmenta- tion in medical imaging: A review.Journal of Imaging, 9(4):81, 2023

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:56:28.255764Z

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Observation 34890f91-810e-4186-b0c6-19a7395f388d · outbound

This paper cites From passive diffusion to active cellu- lar migration in mathematical models of tumour invasion.

Multi-Task Diffusion Approach For Prediction of Glioma Tumor Progression From passive diffusion to active cellu- lar migration in mathematical models of tumour invasion

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:56:28.246640Z

Source-reported events for the cited work

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Observation 58e708a2-77c2-4ebf-9548-2d7fb9a1492e · outbound

This paper cites A mathematical model of glioma growth: the effect of extent of surgical resection.

Multi-Task Diffusion Approach For Prediction of Glioma Tumor Progression A mathematical model of glioma growth: the effect of extent of surgical resection

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:56:28.237367Z

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 ab659ac2-8246-423f-b378-7f3a2f5c411e · outbound

This paper cites Tumor heterogeneity: preclinical models, emerging technologies, and future applications.Frontiers in Oncology, 13:1164535, 2023.

Multi-Task Diffusion Approach For Prediction of Glioma Tumor Progression Tumor heterogeneity: preclinical models, emerging technologies, and future applications.Frontiers in Oncology, 13:1164535, 2023

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:56:28.228022Z

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Observation 967d1971-718c-4ce7-9f85-e2b2e80700ba · outbound

This paper cites Radiomics: extracting more information from medical images using advanced feature analysis.European journal of cancer, 48(4):441– 446, 2012.

Multi-Task Diffusion Approach For Prediction of Glioma Tumor Progression Radiomics: extracting more information from medical images using advanced feature analysis.European journal of cancer, 48(4):441– 446, 2012

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:56:28.218557Z

Source-reported events for the cited work

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Observation d6ec02ff-5f5d-42bf-ae39-6e44b5dbf293 · outbound

This paper cites Simulation of glioblastoma growth using a 3d mul- tispecies tumor model with mass effect.Journal of math- ematical biology, 79:941–967, 2019.

Multi-Task Diffusion Approach For Prediction of Glioma Tumor Progression Simulation of glioblastoma growth using a 3d mul- tispecies tumor model with mass effect.Journal of math- ematical biology, 79:941–967, 2019

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:56:28.208816Z

Source-reported events for the cited work

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Observation 3b411542-c418-48fc-b7e8-154beb109c66 · outbound

This paper cites Realistic simulation of the 3-d growth of brain tumors in mr images coupling diffusion with biomechanical deformation.IEEE transactions on med- ical imaging, 24(10):1334–1346, 2005.

Multi-Task Diffusion Approach For Prediction of Glioma Tumor Progression Realistic simulation of the 3-d growth of brain tumors in mr images coupling diffusion with biomechanical deformation.IEEE transactions on med- ical imaging, 24(10):1334–1346, 2005

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:56:28.198999Z

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Observation 1e812bd9-c092-4842-80e9-6552fec5e287 · outbound

This paper cites Tumor growth prediction with reaction- diffusion and hyperelastic biomechanical model by phys- iological data fusion.Medical Image Analysis, 25(1):72– 85, 2015.

Multi-Task Diffusion Approach For Prediction of Glioma Tumor Progression Tumor growth prediction with reaction- diffusion and hyperelastic biomechanical model by phys- iological data fusion.Medical Image Analysis, 25(1):72– 85, 2015

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:56:28.189218Z

Source-reported events for the cited work

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Observation 2b12dea3-a0f3-4cbd-99d4-e424c95d46ab · outbound

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Multi-Task Diffusion Approach For Prediction of Glioma Tumor Progression Unresolved cited work

Reference 15

Resolution: unresolved; raw_fallback, observed 2026-08-15T15:56:28.179103Z

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Observation 7848a327-3b9b-4391-9a1e-c623cd9a1332 · outbound

This paper cites Gp-gan: Brain tumor growth prediction using stacked 3d generative adversarial networks from longitudinal mr images.Neural Networks, 132:321–332, 2020.

Multi-Task Diffusion Approach For Prediction of Glioma Tumor Progression Gp-gan: Brain tumor growth prediction using stacked 3d generative adversarial networks from longitudinal mr images.Neural Networks, 132:321–332, 2020

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:56:28.169485Z

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Observation dc1ee9e4-f346-4c54-a700-5d12c3df2e98 · outbound

This paper cites Continuous-time deep glioma growth models.

Multi-Task Diffusion Approach For Prediction of Glioma Tumor Progression Continuous-time deep glioma growth models

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:56:28.159901Z

Source-reported events for the cited work

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Observation 5678456b-3dcb-44f4-8eee-8e95a984c527 · outbound

This paper cites Deep probabilistic modeling of glioma growth.

Multi-Task Diffusion Approach For Prediction of Glioma Tumor Progression Deep probabilistic modeling of glioma growth

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:56:28.150476Z

Source-reported events for the cited work

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Observation 0f696be5-e08b-49de-bc8b-45d1986a1909 · outbound

This paper cites Treatment-aware diffusion probabilistic model for longitudinal mri generation and diffuse glioma growth prediction.IEEE Transactions on Medical Imaging, 2025.

Multi-Task Diffusion Approach For Prediction of Glioma Tumor Progression Treatment-aware diffusion probabilistic model for longitudinal mri generation and diffuse glioma growth prediction.IEEE Transactions on Medical Imaging, 2025

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:56:28.141048Z

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Observation 9ada01d6-9f29-4138-8187-2c88b8a31902 · outbound

This paper cites Denoising diffusion probabilistic models.Advances in neural infor- mation processing systems, 33:6840–6851, 2020.

Multi-Task Diffusion Approach For Prediction of Glioma Tumor Progression Denoising diffusion probabilistic models.Advances in neural infor- mation processing systems, 33:6840–6851, 2020

Reference 20

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Source-reported events for the cited work

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Observation cf3204ac-4c08-4688-9943-04fbc3bda17f · outbound

This paper cites Auto-Encoding Variational Bayes.

Multi-Task Diffusion Approach For Prediction of Glioma Tumor Progression Auto-Encoding Variational Bayes

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-15T15:56:27.912517Z

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Observation 96c0ed70-3b56-4a03-8314-ad8655edf426 · outbound

This paper cites Using soft labels to model uncertainty in medical image segmen- tation.

Multi-Task Diffusion Approach For Prediction of Glioma Tumor Progression Using soft labels to model uncertainty in medical image segmen- tation

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:56:28.123820Z

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Observation 44b62023-edd2-4484-a50c-6faef8d16438 · outbound

This paper cites Clinically relevant modeling of tumor growth and treatment response.Science transla- tional medicine, 5(187):187ps9–187ps9, 2013.

Multi-Task Diffusion Approach For Prediction of Glioma Tumor Progression Clinically relevant modeling of tumor growth and treatment response.Science transla- tional medicine, 5(187):187ps9–187ps9, 2013

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:56:28.113285Z

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Observation d0fac3f9-cdfc-41b6-a9fa-ba5808b77126 · outbound

This paper cites Mathematical models of tumor cell prolifer- ation: A review of the literature.Expert review of anti- cancer therapy, 18(12):1271–1286, 2018.

Multi-Task Diffusion Approach For Prediction of Glioma Tumor Progression Mathematical models of tumor cell prolifer- ation: A review of the literature.Expert review of anti- cancer therapy, 18(12):1271–1286, 2018

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:56:28.102943Z

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Observation 33fd5e53-bcc0-485a-ad98-27f986ce1a16 · outbound

This paper cites Estro-eano guideline on tar- get delineation and radiotherapy for idh-mutant who cns grade 2 and 3 diffuse glioma.Radiotherapy and Oncol- ogy, 202:110594, 2025.

Multi-Task Diffusion Approach For Prediction of Glioma Tumor Progression Estro-eano guideline on tar- get delineation and radiotherapy for idh-mutant who cns grade 2 and 3 diffuse glioma.Radiotherapy and Oncol- ogy, 202:110594, 2025

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:56:28.092226Z

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Observation 46a3a3d7-2c99-4495-93d5-0dfe2914744f · outbound

This paper cites Impact of clinical target volume margin reduction in glioblastoma patients treated with concurrent chemoradi- ation.Neuro-Oncology Practice, 11(3):249–254, 2024.

Multi-Task Diffusion Approach For Prediction of Glioma Tumor Progression Impact of clinical target volume margin reduction in glioblastoma patients treated with concurrent chemoradi- ation.Neuro-Oncology Practice, 11(3):249–254, 2024

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:56:28.081942Z

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Observation 135866e9-d577-4715-b012-a2f3f5a7ef5c · outbound

This paper cites V oxelmorph: a learn- ing framework for deformable medical image registration.

Multi-Task Diffusion Approach For Prediction of Glioma Tumor Progression V oxelmorph: a learn- ing framework for deformable medical image registration

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:56:28.072443Z

Source-reported events for the cited work

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Observation b8d8d4b2-ab19-40c5-8410-d6266edb8936 · outbound

This paper cites Film: Visual reasoning with a general conditioning layer.

Multi-Task Diffusion Approach For Prediction of Glioma Tumor Progression Film: Visual reasoning with a general conditioning layer

Reference 28

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Source-reported events for the cited work

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Observation bd2e6994-1327-4820-a7bd-e30bdbe152f0 · outbound

This paper cites Focal loss for dense object detection.

Multi-Task Diffusion Approach For Prediction of Glioma Tumor Progression Focal loss for dense object detection

Reference 29

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Observation 4aba9cce-9ed4-406b-a20f-9e402131d5c6 · outbound

This paper cites AMM-Diff: Adaptive Multi-Modality Diffusion Network for Missing Modality Imputation.

Multi-Task Diffusion Approach For Prediction of Glioma Tumor Progression AMM-Diff: Adaptive Multi-Modality Diffusion Network for Missing Modality Imputation

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-15T15:56:27.941925Z

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Observation 453c3163-e6cb-421a-9bbf-b6e7da4cfee7 · outbound

This paper cites Ai models col- lapse when trained on recursively generated data.Nature, 631(8022):755–759, 2024.

Multi-Task Diffusion Approach For Prediction of Glioma Tumor Progression Ai models col- lapse when trained on recursively generated data.Nature, 631(8022):755–759, 2024

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:56:28.051292Z

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Observation e8d9dcd9-c0f4-44e2-9144-19862ec49c83 · outbound

This paper cites Burdenko’s glioblastoma progression dataset (Burdenko- GBM-Progression), 2023.

Multi-Task Diffusion Approach For Prediction of Glioma Tumor Progression Burdenko’s glioblastoma progression dataset (Burdenko- GBM-Progression), 2023

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:56:28.040935Z

Source-reported events for the cited work

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Observation 97c46ca1-ce71-470c-b101-9b904aec48fd · outbound

This paper cites nnU-Net: Self-adapting Framework for U-Net-Based Medical Image Segmentation.

Multi-Task Diffusion Approach For Prediction of Glioma Tumor Progression nnU-Net: Self-adapting Framework for U-Net-Based Medical Image Segmentation

Reference 33

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Observation 49bdf710-fadd-4259-960c-371cbccd9c06 · outbound

This paper cites Amm-diff: Adaptive multi-modality dif- fusion network for missing modality imputation.

Multi-Task Diffusion Approach For Prediction of Glioma Tumor Progression Amm-diff: Adaptive multi-modality dif- fusion network for missing modality imputation

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:56:28.029210Z

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Observation 8de45d33-8fa5-4add-8379-cd3f676a6810 · outbound

This paper cites Discriminative hamiltonian variational au- toencoder for accurate tumor segmentation in data-scarce regimes.Neurocomputing, 606:128360, 2024.

Multi-Task Diffusion Approach For Prediction of Glioma Tumor Progression Discriminative hamiltonian variational au- toencoder for accurate tumor segmentation in data-scarce regimes.Neurocomputing, 606:128360, 2024

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:56:28.018734Z

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