Paper Citation Record · LEDGER

MRExtrap: Longitudinal Aging of Brain MRIs using Linear Modeling in Latent Space

As of 22 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 0 inbound Pith citation observations for arXiv:2508.19482.

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

pith.paper-citation-record.v1
2508.19482 v1

Coverage vector

measured 37 of 37 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T16:57:12.553082Z

measured 37 of 37 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

37 of 37 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 908649ca-b48d-4b87-afe1-15057e81704c · outbound

This paper cites ICAM-reg: Interpretable classification and regression with feature attribution for mapping neurological phenotypes in individual scans,.

MRExtrap: Longitudinal Aging of Brain MRIs using Linear Modeling in Latent Space ICAM-reg: Interpretable classification and regression with feature attribution for mapping neurological phenotypes in individual scans,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:57:13.279881Z

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Observation a36c397e-0b06-4186-9d3f-2c2a2e328fc1 · outbound

This paper cites Visual feature attribution using wasserstein gans,.

MRExtrap: Longitudinal Aging of Brain MRIs using Linear Modeling in Latent Space Visual feature attribution using wasserstein gans,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:57:13.258766Z

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Observation 3798e56e-6a99-48b9-a38b-2fa1ffca834b · outbound

This paper cites Robust machine learning segmentation for large-scale analysis of heterogeneous clinical brain mri datasets,.

MRExtrap: Longitudinal Aging of Brain MRIs using Linear Modeling in Latent Space Robust machine learning segmentation for large-scale analysis of heterogeneous clinical brain mri datasets,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:57:13.236545Z

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Observation bd95616e-00e9-493b-875f-a97446ecfdcc · outbound

This paper cites Prediction of the progression of subcortical brain structures in alzheimer’s disease from baseline,.

MRExtrap: Longitudinal Aging of Brain MRIs using Linear Modeling in Latent Space Prediction of the progression of subcortical brain structures in alzheimer’s disease from baseline,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:57:13.223548Z

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Observation a93d3708-6564-4b70-b8b3-275a369bf52e · outbound

This paper cites The use of neuroimaging techniques in the early and differential diagnosis of dementia,.

MRExtrap: Longitudinal Aging of Brain MRIs using Linear Modeling in Latent Space The use of neuroimaging techniques in the early and differential diagnosis of dementia,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:57:13.209073Z

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Observation 69b92e65-999c-4e2f-8169-fe05c4cef51a · outbound

This paper cites Diffusion models beat gans on image synthesis,.

MRExtrap: Longitudinal Aging of Brain MRIs using Linear Modeling in Latent Space Diffusion models beat gans on image synthesis,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:57:13.194346Z

Source-reported events for the cited work

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Observation cb64bb69-7bad-49c9-a69f-e2b49a62382d · outbound

This paper cites An image is worth 16x16 words: Transformers for image recognition at scale,.

MRExtrap: Longitudinal Aging of Brain MRIs using Linear Modeling in Latent Space An image is worth 16x16 words: Transformers for image recognition at scale,

Reference 7

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Observation 3ea6ded7-11cd-42f5-86be-16f88c50427f · outbound

This paper cites Patterns of progressive atrophy vary with age in alzheimer’s disease patients,.

MRExtrap: Longitudinal Aging of Brain MRIs using Linear Modeling in Latent Space Patterns of progressive atrophy vary with age in alzheimer’s disease patients,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:57:13.170652Z

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Observation a32eb720-1a33-453c-b953-184085398c72 · outbound

This paper cites High consistency of regional cortical thinning in aging across multiple samples,.

MRExtrap: Longitudinal Aging of Brain MRIs using Linear Modeling in Latent Space High consistency of regional cortical thinning in aging across multiple samples,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:57:13.155951Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation b909370e-d5f5-4784-90a7-722894d3f853 · outbound

This paper cites Characterization of Brain V olume Changes in Aging Individuals With Normal Cognition Using Serial Magnetic Resonance Imaging,.

MRExtrap: Longitudinal Aging of Brain MRIs using Linear Modeling in Latent Space Characterization of Brain V olume Changes in Aging Individuals With Normal Cognition Using Serial Magnetic Resonance Imaging,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:57:13.143014Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 4d0dd9aa-94f7-4af6-a3d8-b88f79120e88 · outbound

This paper cites Denoising diffusion probabilistic models,.

MRExtrap: Longitudinal Aging of Brain MRIs using Linear Modeling in Latent Space Denoising diffusion probabilistic models,

Reference 11

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Observation 96bf7d83-e41e-43c2-b680-066f50a8238a · outbound

This paper cites Huszar, Gaussian distributions are soap bubbles , https : / / www.

MRExtrap: Longitudinal Aging of Brain MRIs using Linear Modeling in Latent Space Huszar, Gaussian distributions are soap bubbles , https : / / www

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:57:13.121518Z

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Observation fccfd1de-dfc8-401d-b91b-f0b0499ffa60 · outbound

This paper cites Image-to-Image Translation with Conditional Adversarial Networks.

MRExtrap: Longitudinal Aging of Brain MRIs using Linear Modeling in Latent Space Image-to-Image Translation with Conditional Adversarial Networks

Reference 13

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Observation d555dcee-f7e2-436c-96ee-7bd52e2c21e2 · outbound

This paper cites Conditional gan with 3d discriminator for mri generation of alzheimer’s disease progression,.

MRExtrap: Longitudinal Aging of Brain MRIs using Linear Modeling in Latent Space Conditional gan with 3d discriminator for mri generation of alzheimer’s disease progression,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:57:13.096430Z

Source-reported events for the cited work

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Observation 095559b0-d533-4d7a-8fe6-3aa0f6acf80b · outbound

This paper cites Multiscale metamor- phic vae for 3d brain mri synthesis,.

MRExtrap: Longitudinal Aging of Brain MRIs using Linear Modeling in Latent Space Multiscale metamor- phic vae for 3d brain mri synthesis,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:57:13.074806Z

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Observation d9f3edde-ed09-4e78-8015-d26175255dfd · outbound

This paper cites Ad course map charts alzheimer’s disease progression,.

MRExtrap: Longitudinal Aging of Brain MRIs using Linear Modeling in Latent Space Ad course map charts alzheimer’s disease progression,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:57:13.060285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 360d5631-da8d-4555-8243-232afc1eae01 · outbound

This paper cites Generation of 3d brain MRI using auto-encoding generative adversarial networks,.

MRExtrap: Longitudinal Aging of Brain MRIs using Linear Modeling in Latent Space Generation of 3d brain MRI using auto-encoding generative adversarial networks,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:57:13.044357Z

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Observation 4a554a89-caaa-4870-a06e-38002ee34cad · outbound

This paper cites Cerebral atrophy in mild cognitive impairment and alzheimer disease: Rates and acceleration,.

MRExtrap: Longitudinal Aging of Brain MRIs using Linear Modeling in Latent Space Cerebral atrophy in mild cognitive impairment and alzheimer disease: Rates and acceleration,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:57:13.025969Z

Source-reported events for the cited work

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Observation 80f588f1-90f0-47b1-9d02-fa32c3d7d181 · outbound

This paper cites Decoupled weight decay regularization,.

MRExtrap: Longitudinal Aging of Brain MRIs using Linear Modeling in Latent Space Decoupled weight decay regularization,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:57:13.005922Z

Source-reported events for the cited work

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Observation f20f53c7-4876-4cc7-bb26-11149d76b2d3 · outbound

This paper cites Diffusion Probabilistic Models beat GANs on Medical Images.

MRExtrap: Longitudinal Aging of Brain MRIs using Linear Modeling in Latent Space Diffusion Probabilistic Models beat GANs on Medical Images

Reference 20

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Source-reported events for the cited work

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Observation ef19cccf-632d-4ce1-bfd4-4859c3972344 · outbound

This paper cites Autoencoder image interpolation by shaping the latent space,.

MRExtrap: Longitudinal Aging of Brain MRIs using Linear Modeling in Latent Space Autoencoder image interpolation by shaping the latent space,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:57:12.982969Z

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Observation 0e2f1998-88d1-42c5-9413-a0beb60b6b4a · outbound

This paper cites Alzheimer’s disease neuroimaging initiative (adni) clinical characterization,.

MRExtrap: Longitudinal Aging of Brain MRIs using Linear Modeling in Latent Space Alzheimer’s disease neuroimaging initiative (adni) clinical characterization,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:57:12.967361Z

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Observation 04910b3b-81f0-4e26-be34-77e4b2bebae2 · outbound

This paper cites Brain imaging generation with latent diffusion models,.

MRExtrap: Longitudinal Aging of Brain MRIs using Linear Modeling in Latent Space Brain imaging generation with latent diffusion models,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:57:12.946182Z

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Observation d661b7ad-6bda-4d7c-8e9d-49632081f70b · outbound

This paper cites Equitable modelling of brain imaging by counterfactual augmentation with morphologically constrained 3d deep generative models,.

MRExtrap: Longitudinal Aging of Brain MRIs using Linear Modeling in Latent Space Equitable modelling of brain imaging by counterfactual augmentation with morphologically constrained 3d deep generative models,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:57:12.932264Z

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Observation 6a2d9593-c8b5-42ea-a16e-5b7601d51b20 · outbound

This paper cites Enhancing spatiotemporal disease progression models via latent diffusion and prior knowledge,.

MRExtrap: Longitudinal Aging of Brain MRIs using Linear Modeling in Latent Space Enhancing spatiotemporal disease progression models via latent diffusion and prior knowledge,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:57:12.918157Z

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Observation 10a0a779-51f5-4434-9cf8-b6a99c8036af · outbound

This paper cites Degenerative adversarial neuroimage nets for brain scan simulations: Application in ageing and dementia,.

MRExtrap: Longitudinal Aging of Brain MRIs using Linear Modeling in Latent Space Degenerative adversarial neuroimage nets for brain scan simulations: Application in ageing and dementia,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:57:12.893549Z

Source-reported events for the cited work

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Observation 8a177bb1-2502-45fb-ab87-428e1b1bacd1 · outbound

This paper cites High- resolution image synthesis with latent diffusion models,.

MRExtrap: Longitudinal Aging of Brain MRIs using Linear Modeling in Latent Space High- resolution image synthesis with latent diffusion models,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:57:12.876086Z

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Observation c5802a01-dd85-4b01-aeaa-93190ddd2d37 · outbound

This paper cites Thinning of the Cerebral Cortex in Aging,.

MRExtrap: Longitudinal Aging of Brain MRIs using Linear Modeling in Latent Space Thinning of the Cerebral Cortex in Aging,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:57:12.859315Z

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Observation 6646b431-dc57-4169-b53b-af31d7e0f57d · outbound

This paper cites Predicting brain atrophy from tau pathology: A summary of clinical findings and their translation into personalized models,.

MRExtrap: Longitudinal Aging of Brain MRIs using Linear Modeling in Latent Space Predicting brain atrophy from tau pathology: A summary of clinical findings and their translation into personalized models,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:57:12.841127Z

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Observation be935c32-b31e-4ac4-a34a-8923ea86315d · outbound

This paper cites Generalised dice overlap as a deep learning loss function for highly unbalanced segmentations,.

MRExtrap: Longitudinal Aging of Brain MRIs using Linear Modeling in Latent Space Generalised dice overlap as a deep learning loss function for highly unbalanced segmentations,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:57:12.826087Z

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Observation 103d6ed9-4f58-42d9-b885-aa82350d7e0b · outbound

This paper cites Morphology- preserving autoregressive 3d generative modelling of the brain,.

MRExtrap: Longitudinal Aging of Brain MRIs using Linear Modeling in Latent Space Morphology- preserving autoregressive 3d generative modelling of the brain,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:57:12.811772Z

Source-reported events for the cited work

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Observation e053b436-a225-4765-a3b1-dbaa9b921552 · outbound

This paper cites Neural discrete representation learning,.

MRExtrap: Longitudinal Aging of Brain MRIs using Linear Modeling in Latent Space Neural discrete representation learning,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:57:12.792777Z

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Observation 66aed0ef-0972-4799-a127-817d4059a0c6 · outbound

This paper cites Sampling Generative Networks.

MRExtrap: Longitudinal Aging of Brain MRIs using Linear Modeling in Latent Space Sampling Generative Networks

Reference 33

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Observation 53a8072c-6e1e-4198-9848-b49240a8f743 · outbound

This paper cites Sadm: Sequence- aware diffusion model for longitudinal medical image generation,.

MRExtrap: Longitudinal Aging of Brain MRIs using Linear Modeling in Latent Space Sadm: Sequence- aware diffusion model for longitudinal medical image generation,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:57:12.779032Z

Source-reported events for the cited work

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Observation 5420e35e-e48e-423f-8475-41daca2eda1d · outbound

This paper cites Adding conditional control to text-to-image diffusion models,.

MRExtrap: Longitudinal Aging of Brain MRIs using Linear Modeling in Latent Space Adding conditional control to text-to-image diffusion models,

Reference 35

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Observation 0a8d0c11-f5a3-4497-9284-af89e5d6561f · outbound

This paper cites The Unreasonable Effectiveness of Deep Features as a Perceptual Metric.

MRExtrap: Longitudinal Aging of Brain MRIs using Linear Modeling in Latent Space The Unreasonable Effectiveness of Deep Features as a Perceptual Metric

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-15T16:57:12.548314Z

Source-reported events for the cited work

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Observation 30709ffc-8acc-49c2-a3d0-37d27c676d02 · outbound

This paper cites Variational autoencoder for regression: Application to brain aging analysis,.

MRExtrap: Longitudinal Aging of Brain MRIs using Linear Modeling in Latent Space Variational autoencoder for regression: Application to brain aging analysis,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:57:12.764497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Pith citing papers

No inbound Pith citation observations are available.