Paper Citation Record · LEDGER

Bayesian Generative Models for Knowledge Transfer in MRI Semantic Segmentation Problems

As of 19 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 0 inbound Pith citation observations for arXiv:1908.05480.

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

pith.paper-citation-record.v1
1908.05480 v1

Coverage vector

measured 16 of 16 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T13:15:55.210688Z

measured 16 of 16 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 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

16 of 16 outbound references displayed

verified exact4
verified fuzzy3
unresolved7
parse uncertain0
malformed identifier1
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f2a4ece8-555c-4ac5-9568-c26547801df2 · outbound

This paper cites Adversarial Reprogramming of Neural Networks.

Bayesian Generative Models for Knowledge Transfer in MRI Semantic Segmentation Problems Adversarial Reprogramming of Neural Networks

Reference 5

Resolution: malformed identifier; no resolver link, observed 2026-08-14T13:15:55.143483Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fc75ac89-7405-4b1e-960b-a82d79505c45 · outbound

This paper cites V-net: Fully convolutional neural networks for volumetric medical image segmentation.

Bayesian Generative Models for Knowledge Transfer in MRI Semantic Segmentation Problems V-net: Fully convolutional neural networks for volumetric medical image segmentation

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:15:55.629655Z

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.

Observation eed425b0-55e9-43a5-b8fc-bc6c2681c440 · outbound

This paper cites Deep Learning with Mixed Supervision for Brain Tumor Segmentation.

Bayesian Generative Models for Knowledge Transfer in MRI Semantic Segmentation Problems Deep Learning with Mixed Supervision for Brain Tumor Segmentation

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-14T13:15:55.185044Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 71bf0994-655b-4edc-8df8-c3dad4c195ac · outbound

This paper cites 3D MRI brain tumor segmentation using autoencoder regularization.

Bayesian Generative Models for Knowledge Transfer in MRI Semantic Segmentation Problems 3D MRI brain tumor segmentation using autoencoder regularization

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-14T13:15:55.190175Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0135e435-bc15-45b4-a61d-f980d7321c41 · outbound

This paper cites Cyclical learning rates for training neural networks.

Bayesian Generative Models for Knowledge Transfer in MRI Semantic Segmentation Problems Cyclical learning rates for training neural networks

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:15:55.612378Z

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.

Observation 983f957c-5bb9-45a5-9472-278e475e875b · outbound

This paper cites A Survey of Unsupervised Deep Domain Adaptation.

Bayesian Generative Models for Knowledge Transfer in MRI Semantic Segmentation Problems A Survey of Unsupervised Deep Domain Adaptation

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-14T13:15:55.205038Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c2f5d862-b68d-4379-9d2d-bb26ad56e052 · outbound

This paper cites an unresolved cited work.

Bayesian Generative Models for Knowledge Transfer in MRI Semantic Segmentation Problems Unresolved cited work

Reference 17

Resolution: unresolved; raw_fallback, observed 2026-08-14T13:15:55.594922Z

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.

Observation 8fb8c2b2-f19c-4825-9079-fef1b3e86024 · outbound

This paper cites Brain Tumor Segmentation and Tractographic Feature Extraction from Structural MR Images for Overall Survival Prediction.

Bayesian Generative Models for Knowledge Transfer in MRI Semantic Segmentation Problems Brain Tumor Segmentation and Tractographic Feature Extraction from Structural MR Images for Overall Survival Prediction

Reference 1999

Resolution: verified exact; local_arxiv, observed 2026-08-14T13:15:55.442927Z

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.

Observation 6bc778e5-022e-4eeb-9cc7-c22f6d59b611 · outbound

This paper cites doi: 10.1016/S1361-8415(02)00056-7.

Bayesian Generative Models for Knowledge Transfer in MRI Semantic Segmentation Problems doi: 10.1016/S1361-8415(02)00056-7

Reference 2002

Resolution: verified exact; doi, observed 2026-08-14T13:15:55.258320Z

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.

Observation 5ce6afb6-2a4c-45be-894f-b4763b3b5d35 · outbound

This paper cites Domain and Geometry Agnostic CNNs for Left Atrium Segmentation in 3D Ultrasound.

Bayesian Generative Models for Knowledge Transfer in MRI Semantic Segmentation Problems Domain and Geometry Agnostic CNNs for Left Atrium Segmentation in 3D Ultrasound

Reference 2012

Resolution: metadata mismatch; local_arxiv, observed 2026-08-14T13:15:55.521009Z

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.

Observation c96e4e5e-ca68-42b5-9020-0573731d98f0 · outbound

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

Bayesian Generative Models for Knowledge Transfer in MRI Semantic Segmentation Problems nnU-Net: Self-adapting Framework for U-Net-Based Medical Image Segmentation

Reference 2013

Resolution: unresolved; no resolver link, observed 2026-08-14T13:15:55.149124Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 99eec3f2-a0ec-4bd9-a60f-b7f48c4db82e · outbound

This paper cites Adversarial Networks for the Detection of Aggressive Prostate Cancer.

Bayesian Generative Models for Knowledge Transfer in MRI Semantic Segmentation Problems Adversarial Networks for the Detection of Aggressive Prostate Cancer

Reference 2015

Resolution: verified exact; local_arxiv, observed 2026-08-14T13:15:55.416954Z

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.

Observation 4b527104-25cb-4f4c-8a7b-711e4c211eb0 · outbound

This paper cites Acute and sub-acute stroke lesion segmentation from multimodal MRI.

Bayesian Generative Models for Knowledge Transfer in MRI Semantic Segmentation Problems Acute and sub-acute stroke lesion segmentation from multimodal MRI

Reference 2016

Resolution: verified exact; local_arxiv, observed 2026-08-14T13:15:55.559908Z

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.

Observation 8b9edb7e-e3c3-4383-b544-2dbd32830eed · outbound

This paper cites The multimodal brain tumor image segmentation benchmark (brats).

Bayesian Generative Models for Knowledge Transfer in MRI Semantic Segmentation Problems The multimodal brain tumor image segmentation benchmark (brats)

Reference 2017

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:15:55.652797Z

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.

Observation 83fbcb30-212d-4292-aceb-351fff167755 · outbound

This paper cites The Deep Weight Prior.

Bayesian Generative Models for Knowledge Transfer in MRI Semantic Segmentation Problems The Deep Weight Prior

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-14T13:15:55.125591Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f60d888c-ce7b-46ec-9b6b-c608f45d0d28 · outbound

This paper cites doi: 10.3389/fnins.2019.00097.

Bayesian Generative Models for Knowledge Transfer in MRI Semantic Segmentation Problems doi: 10.3389/fnins.2019.00097

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-14T13:15:55.166976Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.