Paper Citation Record · LEDGER

Uncertain but Useful: Leveraging CNN Training Variability into Data Augmentation

As of 18 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 0 inbound Pith citation observations for arXiv:2509.05238.

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

pith.paper-citation-record.v1
2509.05238 v2

Coverage vector

measured 14 of 14 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T05:33:24.106378Z

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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

14 of 14 outbound references displayed

verified exact3
verified fuzzy6
unresolved4
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 43a2e66d-73b9-4e4a-8f3c-126717a1efe2 · outbound

This paper cites https://github.com/Deep-MI/FastSurfer.

Uncertain but Useful: Leveraging CNN Training Variability into Data Augmentation https://github.com/Deep-MI/FastSurfer

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:33:26.938173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 918a2086-9f33-4552-bcf4-ecc42e122219 · outbound

This paper cites Accurate simulation of operating system updates in neuroimaging using monte-carlo arithmetic.

Uncertain but Useful: Leveraging CNN Training Variability into Data Augmentation Accurate simulation of operating system updates in neuroimaging using monte-carlo arithmetic

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:33:26.409851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d326497a-d6e1-484e-b7c9-ed3eb26ee5e1 · outbound

This paper cites Xi-Nian Zuo, Jeffrey S Anderson, Pierre Bellec, Rasmus M Birn, Bharat B Biswal, Janusch Blautzik, John Breitner, Randy L Buckner, Vince D Calhoun, F Xavier Castellanos, et al.

Uncertain but Useful: Leveraging CNN Training Variability into Data Augmentation Xi-Nian Zuo, Jeffrey S Anderson, Pierre Bellec, Rasmus M Birn, Bharat B Biswal, Janusch Blautzik, John Breitner, Randy L Buckner, Vince D Calhoun, F Xavier Castellanos, et al

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-05T05:33:23.535206Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d92e8a11-181a-479c-8f94-8265406205af · outbound

This paper cites an unresolved cited work.

Uncertain but Useful: Leveraging CNN Training Variability into Data Augmentation Unresolved cited work

Reference 12

Resolution: unresolved; raw_fallback, observed 2026-08-05T05:33:25.833936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 1160e49e-1647-4292-a1b9-36115ff253fd · outbound

This paper cites We obtained access to all training and validation datasets used by the authors (HCP Van Essen et al.

Uncertain but Useful: Leveraging CNN Training Variability into Data Augmentation We obtained access to all training and validation datasets used by the authors (HCP Van Essen et al

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:33:25.555730Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation cc4f36a4-f845-45e4-aaae-3cb3f8a6a915 · outbound

This paper cites Douglass Stott Parker.Monte Carlo Arithmetic: Exploiting Randomness in Floating-Point Arithmetic.

Uncertain but Useful: Leveraging CNN Training Variability into Data Augmentation Douglass Stott Parker.Monte Carlo Arithmetic: Exploiting Randomness in Floating-Point Arithmetic

Reference 2005

Resolution: verified exact; doi, observed 2026-08-05T05:33:24.385776Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation c8e37117-987d-4569-8397-dbfb71cafe4b · outbound

This paper cites Daniel S.

Uncertain but Useful: Leveraging CNN Training Variability into Data Augmentation Daniel S

Reference 2007

Resolution: unresolved; no resolver link, observed 2026-08-05T05:33:23.060037Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 415b52fc-0605-412b-b394-733e755c7ca7 · outbound

This paper cites 2009.21407.

Uncertain but Useful: Leveraging CNN Training Variability into Data Augmentation 2009.21407

Reference 2009

Resolution: malformed identifier; no resolver link, observed 2026-08-05T05:33:23.195838Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 24a83f89-6b42-4a06-ac3a-a36b9e5b346d · outbound

This paper cites Daniel S.

Uncertain but Useful: Leveraging CNN Training Variability into Data Augmentation Daniel S

Reference 2013

Resolution: verified exact; doi, observed 2026-08-05T05:33:24.641428Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ecdf4bb2-4b8a-4b6a-a9d8-532c7d5d8725 · outbound

This paper cites fuzzy libmath.

Uncertain but Useful: Leveraging CNN Training Variability into Data Augmentation fuzzy libmath

Reference 2014

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:33:26.157619Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 109bab33-144b-4bf0-8848-080629f40d58 · outbound

This paper cites doi: 10.1109/ARITH.2016.31.

Uncertain but Useful: Leveraging CNN Training Variability into Data Augmentation doi: 10.1109/ARITH.2016.31

Reference 2016

Resolution: unresolved; no resolver link, observed 2026-08-05T05:33:22.690242Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4fd4dfc0-165a-4eb3-910a-0a966b7b656e · outbound

This paper cites Data Augmentation Through Monte Carlo Arithmetic Leads to More Generalizable Classification in Connectomics.

Uncertain but Useful: Leveraging CNN Training Variability into Data Augmentation Data Augmentation Through Monte Carlo Arithmetic Leads to More Generalizable Classification in Connectomics

Reference 2022

Resolution: verified exact; local_arxiv, observed 2026-08-05T05:33:25.035704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation baccf350-3b87-4dfc-b6b1-32a1aae317c8 · outbound

This paper cites The CNN consists of four competitive dense blocks (CDB) in the encoder and decoder part, separated by a bottleneck layer.

Uncertain but Useful: Leveraging CNN Training Variability into Data Augmentation The CNN consists of four competitive dense blocks (CDB) in the encoder and decoder part, separated by a bottleneck layer

Reference 2023

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:33:25.353291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 778bfe45-6af1-4ff1-96d0-f2f299703611 · outbound

This paper cites Krzysztof J Gorgolewski and Russell A Poldrack.

Uncertain but Useful: Leveraging CNN Training Variability into Data Augmentation Krzysztof J Gorgolewski and Russell A Poldrack

Reference 2025

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:33:26.669718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Pith citing papers

No inbound Pith citation observations are available.