Paper Citation Record · LEDGER

HyperSORT: Self-Organising Robust Training with hyper-networks

As of 20 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 0 inbound Pith citation observations for arXiv:2506.21430.

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

pith.paper-citation-record.v1
2506.21430 v1

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T22:30:06.367090Z

measured 28 of 28 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+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

28 of 28 outbound references displayed

verified exact4
verified fuzzy11
unresolved8
parse uncertain0
malformed identifier2
metadata mismatch3

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation cdf52039-0df6-4970-8286-cfbd8e935507 · outbound

This paper cites Adaptive Computation and Ma- chine Learning series, MIT Press (2024).

HyperSORT: Self-Organising Robust Training with hyper-networks Adaptive Computation and Ma- chine Learning series, MIT Press (2024)

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:30:08.979148Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 1391fb6f-08a3-40f1-b1ab-6e566cf5a147 · outbound

This paper cites In: Shen, D., Liu, T., Peters, T.M., Staib, L.H., Essert, C., Zhou, S., Yap, P.T., Khan, A.

HyperSORT: Self-Organising Robust Training with hyper-networks In: Shen, D., Liu, T., Peters, T.M., Staib, L.H., Essert, C., Zhou, S., Yap, P.T., Khan, A

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:30:08.855679Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 17dd8421-8d80-4b5e-b21e-4251a1cb45c7 · outbound

This paper cites In: Medical Imaging with Deep Learn- ing (2024), https://openreview.net/forum?id=sfjgmuvLS7.

HyperSORT: Self-Organising Robust Training with hyper-networks In: Medical Imaging with Deep Learn- ing (2024), https://openreview.net/forum?id=sfjgmuvLS7

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:30:08.786907Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 8db473c3-2193-4311-8e39-cb0434ce4716 · outbound

This paper cites Medical Image Analysis71, 102062 (2021).

HyperSORT: Self-Organising Robust Training with hyper-networks Medical Image Analysis71, 102062 (2021)

Reference 4

Resolution: metadata mismatch; raw_fallback, observed 2026-08-06T22:30:07.666334Z

Source-reported events for the cited work

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Observation 173b84a3-50f2-4261-82cf-7a176a424977 · outbound

This paper cites an unresolved cited work.

HyperSORT: Self-Organising Robust Training with hyper-networks Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-08-06T22:30:08.724297Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 860f8b0b-8175-44c5-b9b9-f1b79e6903c3 · outbound

This paper cites Quality Sentinel: Estimating Label Quality and Errors in Medical Segmentation Datasets.

HyperSORT: Self-Organising Robust Training with hyper-networks Quality Sentinel: Estimating Label Quality and Errors in Medical Segmentation Datasets

Reference 6

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation dc935de3-e7c6-4a37-adef-c7c401e9a219 · outbound

This paper cites Frontiers of Computer Science19(9), 199705 (Jan 2025).

HyperSORT: Self-Organising Robust Training with hyper-networks Frontiers of Computer Science19(9), 199705 (Jan 2025)

Reference 7

Resolution: verified exact; doi, observed 2026-08-06T22:30:07.061549Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 6b0e69d7-a95d-433b-b6f6-3b374cc253ff · outbound

This paper cites European Radiology Experimental 8(1), 11 (Feb 2024).

HyperSORT: Self-Organising Robust Training with hyper-networks European Radiology Experimental 8(1), 11 (Feb 2024)

Reference 8

Resolution: verified exact; doi, observed 2026-08-06T22:30:06.910862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation cae75ce6-0fae-4020-baaf-61dc1ff3623d · outbound

This paper cites In: Greenspan, H., Madab- hushi, A., Mousavi, P., Salcudean, S., Duncan, J., Syeda-Mahmood, T., Taylor, R.

HyperSORT: Self-Organising Robust Training with hyper-networks In: Greenspan, H., Madab- hushi, A., Mousavi, P., Salcudean, S., Duncan, J., Syeda-Mahmood, T., Taylor, R

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:30:08.670161Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 8738046e-c58f-410b-9460-a450bd301cbb · outbound

This paper cites In: International Conference on Learning Representations (2017),https://openreview.net/forum?id=rkpACe1lx.

HyperSORT: Self-Organising Robust Training with hyper-networks In: International Conference on Learning Representations (2017),https://openreview.net/forum?id=rkpACe1lx

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:30:08.526839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 2e967293-8136-4fc2-af99-86f352170121 · outbound

This paper cites Machine Learn- ing for Biomedical Imaging1, 1–30 (2022).https://doi.org/10.59275/j.melba.

HyperSORT: Self-Organising Robust Training with hyper-networks Machine Learn- ing for Biomedical Imaging1, 1–30 (2022).https://doi.org/10.59275/j.melba

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation ed71a45a-259b-4336-920a-945efded5e27 · outbound

This paper cites Pattern Recognition 158, 111028 (2025).https://doi.org/https://doi.org/10.1016/j.

HyperSORT: Self-Organising Robust Training with hyper-networks Pattern Recognition 158, 111028 (2025).https://doi.org/https://doi.org/10.1016/j

Reference 12

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Source-reported events for the cited work

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Observation f03026d6-a43d-4225-aaba-95d1fde340a6 · outbound

This paper cites Nature Methods 18(2), 203–211 (Feb 2021).

HyperSORT: Self-Organising Robust Training with hyper-networks Nature Methods 18(2), 203–211 (Feb 2021)

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T22:30:05.484284Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 92377259-3bd5-483a-ad35-0ae2f09d1543 · outbound

This paper cites AMOS: A Large-Scale Abdominal Multi-Organ Benchmark for Versatile Medical Image Segmentation.

HyperSORT: Self-Organising Robust Training with hyper-networks AMOS: A Large-Scale Abdominal Multi-Organ Benchmark for Versatile Medical Image Segmentation

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T22:30:05.553454Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e3a2daa4-8a50-48aa-9441-8859cb69a2c7 · outbound

This paper cites In: proceedings of Medical Image Computing and Computer Assisted Intervention – MICCAI 2024.

HyperSORT: Self-Organising Robust Training with hyper-networks In: proceedings of Medical Image Computing and Computer Assisted Intervention – MICCAI 2024

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:30:08.431728Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 10e1e8e8-7d15-4051-bddb-8de807e0b41c · outbound

This paper cites Estimating label quality and errors in semantic segmentation data via any model.

HyperSORT: Self-Organising Robust Training with hyper-networks Estimating label quality and errors in semantic segmentation data via any model

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T22:30:05.706927Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation efbfae5d-12b8-4aff-9b94-2e3ed2447400 · outbound

This paper cites an unresolved cited work.

HyperSORT: Self-Organising Robust Training with hyper-networks Unresolved cited work

Reference 17

Resolution: unresolved; raw_fallback, observed 2026-08-06T22:30:08.284269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e6837ee7-7049-433f-b86d-9cc0b45899ea · outbound

This paper cites Learning to Segment Skin Lesions from Noisy Annotations.

HyperSORT: Self-Organising Robust Training with hyper-networks Learning to Segment Skin Lesions from Noisy Annotations

Reference 18

Resolution: metadata mismatch; local_arxiv, observed 2026-08-06T22:30:07.363953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation abad9d4c-a7b9-4a19-a65d-037765324a6d · outbound

This paper cites In: de Bruijne, M., Cattin, P.C., Cotin, S., Padoy, N., Speidel, S., Zheng, Y., Essert, C.

HyperSORT: Self-Organising Robust Training with hyper-networks In: de Bruijne, M., Cattin, P.C., Cotin, S., Padoy, N., Speidel, S., Zheng, Y., Essert, C

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:30:08.142110Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation dba75722-6ace-4fc1-9d57-afc6a1142369 · outbound

This paper cites In: Navab, N., Hornegger, J., Wells, W.M., Frangi, A.F.

HyperSORT: Self-Organising Robust Training with hyper-networks In: Navab, N., Hornegger, J., Wells, W.M., Frangi, A.F

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:30:07.977119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 1b25e916-ed20-4244-bc3e-9876b69ad87b · outbound

This paper cites npj Digital Medicine6(1), 26 (Feb 2023).

HyperSORT: Self-Organising Robust Training with hyper-networks npj Digital Medicine6(1), 26 (Feb 2023)

Reference 21

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 454935be-7b49-4f8f-a69f-327a33fc89f9 · outbound

This paper cites In: Medical Imaging with Deep Learning (2022),https://openreview.net/forum? id=C4B46ZS7MSB.

HyperSORT: Self-Organising Robust Training with hyper-networks In: Medical Imaging with Deep Learning (2022),https://openreview.net/forum? id=C4B46ZS7MSB

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:30:07.882016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 82a27c03-d923-42c2-81e1-53d65e8fa836 · outbound

This paper cites Radiology: Arti- ficial Intelligence 5(5), e230024 (2023).

HyperSORT: Self-Organising Robust Training with hyper-networks Radiology: Arti- ficial Intelligence 5(5), e230024 (2023)

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T22:30:06.191142Z

Source-reported events for the cited work

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Observation c9a1cca9-1495-44ff-aa4c-d7a6f89ce61a · outbound

This paper cites Journal of the American Medical Informatics Association 31(7), 1596–1607 (05 2024).

HyperSORT: Self-Organising Robust Training with hyper-networks Journal of the American Medical Informatics Association 31(7), 1596–1607 (05 2024)

Reference 24

Resolution: verified exact; doi, observed 2026-08-06T22:30:06.664862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 40ebbc40-ed62-4665-9768-574d7c080591 · outbound

This paper cites Radiology 295(1), 4–15 (2020).

HyperSORT: Self-Organising Robust Training with hyper-networks Radiology 295(1), 4–15 (2020)

Reference 25

Resolution: verified exact; doi, observed 2026-08-06T22:30:06.515558Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 91f1713b-3562-4b65-8090-566769f17fd6 · outbound

This paper cites NeurIPS (2020).

HyperSORT: Self-Organising Robust Training with hyper-networks NeurIPS (2020)

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:30:07.808146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation a4fabed9-8439-44fc-99eb-e0bde1011718 · outbound

This paper cites In: Proceedings of the 32nd International Conference on Neural Information Processing Systems.

HyperSORT: Self-Organising Robust Training with hyper-networks In: Proceedings of the 32nd International Conference on Neural Information Processing Systems

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:30:07.736794Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b08a9451-93b7-45f7-a7b1-6cb4abb64987 · outbound

This paper cites an unresolved cited work.

HyperSORT: Self-Organising Robust Training with hyper-networks Unresolved cited work

Reference 2023

Resolution: unresolved; raw_fallback, observed 2026-08-06T22:30:08.621499Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Pith citing papers

No inbound Pith citation observations are available.