Paper Citation Record · LEDGER

One Model to Magnify Them All: Efficient Scale-Invariant Histopathology via Conditional Normalization and Continuous Magnification Training

As of 18 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 0 inbound Pith citation observations for arXiv:2608.09403.

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

pith.paper-citation-record.v1
2608.09403 v1

Coverage vector

measured 16 of 16 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T17:57:43.891244Z

measured 16 of 16 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

16 of 16 outbound references displayed

verified exact4
verified fuzzy2
unresolved10
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation acccd81a-4b37-4660-9c44-e8c568bb46e6 · outbound

This paper cites Medical Image Analysis 70, 102004 (2021).

One Model to Magnify Them All: Efficient Scale-Invariant Histopathology via Conditional Normalization and Continuous Magnification Training Medical Image Analysis 70, 102004 (2021)

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-11T17:57:43.829003Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a603f208-b59c-43bb-92aa-e4f9e5aabd7b · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

One Model to Magnify Them All: Efficient Scale-Invariant Histopathology via Conditional Normalization and Continuous Magnification Training In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-11T17:57:43.833712Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 78953acd-8a30-4d2f-996b-db1a406be8b2 · outbound

This paper cites arXiv preprint arXiv:2512.14796 (2025).

One Model to Magnify Them All: Efficient Scale-Invariant Histopathology via Conditional Normalization and Continuous Magnification Training arXiv preprint arXiv:2512.14796 (2025)

Reference 3

Resolution: verified exact; raw_fallback, observed 2026-08-11T17:57:44.626167Z

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 fba09d1b-b363-4538-82db-d0642818f13d · outbound

This paper cites In: 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

One Model to Magnify Them All: Efficient Scale-Invariant Histopathology via Conditional Normalization and Continuous Magnification Training In: 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-11T17:57:43.842613Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dd1f7930-01ea-4e3e-bb51-ba824d882fe4 · outbound

This paper cites In: 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

One Model to Magnify Them All: Efficient Scale-Invariant Histopathology via Conditional Normalization and Continuous Magnification Training In: 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-11T17:57:43.846624Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b229650f-5561-4ebc-ac71-1d0740c6faa6 · outbound

This paper cites In: Strumiłło, P., Klepaczko, A., Strzelecki, M., Bociąga, D.

One Model to Magnify Them All: Efficient Scale-Invariant Histopathology via Conditional Normalization and Continuous Magnification Training In: Strumiłło, P., Klepaczko, A., Strzelecki, M., Bociąga, D

Reference 6

Resolution: verified exact; doi, observed 2026-08-11T17:57:43.949107Z

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 4540e010-b504-48ad-bdb1-f6708e98efd3 · outbound

This paper cites Scientiﬁc Reports 14(1), 17847 (2024).

One Model to Magnify Them All: Efficient Scale-Invariant Histopathology via Conditional Normalization and Continuous Magnification Training Scientiﬁc Reports 14(1), 17847 (2024)

Reference 7

Resolution: verified exact; doi, observed 2026-08-11T17:57:43.935929Z

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 321b0856-de8e-4ad6-9913-87767548d5df · outbound

This paper cites https://kaggle.com/competitions/prostate-cancer-grade-assessment (2020), kaggle.

One Model to Magnify Them All: Efficient Scale-Invariant Histopathology via Conditional Normalization and Continuous Magnification Training https://kaggle.com/competitions/prostate-cancer-grade-assessment (2020), kaggle

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:57:44.826366Z

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 9b8d4776-af75-4939-8bd9-f126037c8ae3 · outbound

This paper cites In: At- zori, M., Burlutskiy, N., Ciompi, F., Li, Z., Minhas, F., Müller, H., Peng, T., Rajpoot, N., Torben-Nielsen, B., van der Laak, J., Veta, M., Yuan, Y., Zlobec, I.

One Model to Magnify Them All: Efficient Scale-Invariant Histopathology via Conditional Normalization and Continuous Magnification Training In: At- zori, M., Burlutskiy, N., Ciompi, F., Li, Z., Minhas, F., Müller, H., Peng, T., Rajpoot, N., Torben-Nielsen, B., van der Laak, J., Veta, M., Yuan, Y., Zlobec, I

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:57:44.813036Z

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 60e0cff2-4b08-403b-8df3-7f24fee10401 · outbound

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

One Model to Magnify Them All: Efficient Scale-Invariant Histopathology via Conditional Normalization and Continuous Magnification Training In: Navab, N., Hornegger, J., Wells, W.M., Frangi, A.F

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-11T17:57:43.867298Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 244e2006-f3ac-4018-add7-06200337fd86 · outbound

This paper cites In: 2020 Interna- tional Conference on Machine Vision and Image Processing (MVIP).

One Model to Magnify Them All: Efficient Scale-Invariant Histopathology via Conditional Normalization and Continuous Magnification Training In: 2020 Interna- tional Conference on Machine Vision and Image Processing (MVIP)

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-11T17:57:43.875491Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3734941d-1770-49d4-915e-d80acedf2a0b · outbound

This paper cites Medical Image Analysis 67, 101813 (2021).

One Model to Magnify Them All: Efficient Scale-Invariant Histopathology via Conditional Normalization and Continuous Magnification Training Medical Image Analysis 67, 101813 (2021)

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-11T17:57:43.879456Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1b9a31ee-a956-40ea-82ac-5144507d9dff · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Reference 13

Resolution: verified exact; raw_fallback, observed 2026-08-11T17:57:44.261376Z

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 d76b0166-233b-4b85-823d-9839f611378a · outbound

This paper cites IEEE Reviews in Biomedical Engineering 17, 63–79 (2024).

One Model to Magnify Them All: Efficient Scale-Invariant Histopathology via Conditional Normalization and Continuous Magnification Training IEEE Reviews in Biomedical Engineering 17, 63–79 (2024)

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-11T17:57:43.887410Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1211aad1-93ba-4fc2-8438-811006b60d52 · outbound

This paper cites Virchow2: Scaling Self-Supervised Mixed Magnification Models in Pathology.

One Model to Magnify Them All: Efficient Scale-Invariant Histopathology via Conditional Normalization and Continuous Magnification Training Virchow2: Scaling Self-Supervised Mixed Magnification Models in Pathology

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-11T17:57:43.891244Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3894af4f-e17e-4295-8865-b87b79dcbf8f · outbound

This paper cites 9351, pp.

One Model to Magnify Them All: Efficient Scale-Invariant Histopathology via Conditional Normalization and Continuous Magnification Training 9351, pp

Reference 2015

Resolution: unresolved; no resolver link, observed 2026-08-11T17:57:43.871342Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.