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Paper Citation Record · LEDGER

Do Diabetic Foot Ulcer Segmentation Models Generalize? A Cross-Dataset Benchmark of CNN and Transformer Architectures

As of 9 August 2026, this Paper Citation Record lists 11 of 11 outbound references and 0 inbound Pith citation observations for arXiv:2607.02555.

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

pith.paper-citation-record.v1
2607.02555 v1

Coverage vector

measured 11 of 11 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-12T11:16:00.391340Z

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

11 of 11 outbound references displayed

  • verified exact2
  • verified fuzzy0
  • unresolved9
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0c42edc7-3d09-4b51-85aa-882afeeb302a · outbound

This paper cites Etiology, Epidemiology, and Disparities in the Burden of Diabetic Foot Ulcers.

Do Diabetic Foot Ulcer Segmentation Models Generalize? A Cross-Dataset Benchmark of CNN and Transformer Architectures Etiology, Epidemiology, and Disparities in the Burden of Diabetic Foot Ulcers

Reference 1

Resolution
unresolved
no resolver link, observed 2026-07-12T11:16:00.391340Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T11:16:00.391340Z digest=sha256:6375df4cc83cd0de0a98955dbb58b64144930ccdf4a95c135c4f39bd6df00faa

Observation 85bc92ca-81d6-41c7-bcfb-c77b704a038d · outbound

This paper cites IEEE Access12, 173824–173835 (2024).

Do Diabetic Foot Ulcer Segmentation Models Generalize? A Cross-Dataset Benchmark of CNN and Transformer Architectures IEEE Access12, 173824–173835 (2024)

Reference 2

Resolution
unresolved
no resolver link, observed 2026-07-12T11:16:00.391340Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T11:16:00.391340Z digest=sha256:9ac326d8802777df65803d54f9c87bbe28c88dd534717c9188ecc3122f92a74f

Observation a54fd6eb-65ed-450f-b099-0d2f0d184984 · outbound

This paper cites In: MICCAI, pp.

Do Diabetic Foot Ulcer Segmentation Models Generalize? A Cross-Dataset Benchmark of CNN and Transformer Architectures In: MICCAI, pp

Reference 3

Resolution
unresolved
no resolver link, observed 2026-07-12T11:16:00.391340Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T11:16:00.391340Z digest=sha256:1b0b16a44227204c1532dcd6660bad2a62ba996117fb483acf81424ce485d728

Observation 6ed8cff3-5443-41c4-ab6c-860a6e650635 · outbound

This paper cites In: ECCV, pp.

Do Diabetic Foot Ulcer Segmentation Models Generalize? A Cross-Dataset Benchmark of CNN and Transformer Architectures In: ECCV, pp

Reference 4

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unresolved
no resolver link, observed 2026-07-12T11:16:00.391340Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T11:16:00.391340Z digest=sha256:fb80f521720890f29cf7ae1dfa447c24d665e08eb1c71d7da2484714ffdaf2b3

Observation a9eddba6-b83c-447f-bf0f-c3e2c19ffb4c · outbound

This paper cites In: NeurIPS, vol.

Do Diabetic Foot Ulcer Segmentation Models Generalize? A Cross-Dataset Benchmark of CNN and Transformer Architectures In: NeurIPS, vol

Reference 5

Resolution
unresolved
no resolver link, observed 2026-07-12T11:16:00.391340Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T11:16:00.391340Z digest=sha256:7190d92ee03708124de0d66740507324f89377a81351f97e4c463f4470502bb5

Observation 6a3f87ff-a2f7-4d34-ad44-97e3afed4cf9 · outbound

This paper cites FUSegNet: A Deep Convolutional Neural Network for Foot Ulcer Segmentation.

Do Diabetic Foot Ulcer Segmentation Models Generalize? A Cross-Dataset Benchmark of CNN and Transformer Architectures FUSegNet: A Deep Convolutional Neural Network for Foot Ulcer Segmentation

Reference 6

Resolution
unresolved
no resolver link, observed 2026-07-12T11:16:00.391340Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T11:16:00.391340Z digest=sha256:8cab6d56504d275570837af5679f676b0d5f4a43109acc49f38e7eb27df622a5

Observation 486fd001-c2cc-43ba-86e0-fc720fd3c462 · outbound

This paper cites Information15(3), 140 (2024).

Do Diabetic Foot Ulcer Segmentation Models Generalize? A Cross-Dataset Benchmark of CNN and Transformer Architectures Information15(3), 140 (2024)

Reference 7

Resolution
unresolved
no resolver link, observed 2026-07-12T11:16:00.391340Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T11:16:00.391340Z digest=sha256:43ec3fc9d282f675479162809ec87d736b36d9d4911633edfa2a1be58f3e917d

Observation f8db67b3-29f7-4d05-b026-901ff11dfb91 · outbound

This paper cites Nature Communications15, 654 (2024).

Do Diabetic Foot Ulcer Segmentation Models Generalize? A Cross-Dataset Benchmark of CNN and Transformer Architectures Nature Communications15, 654 (2024)

Reference 8

Resolution
unresolved
no resolver link, observed 2026-07-12T11:16:00.391340Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T11:16:00.391340Z digest=sha256:da4c11b0d592fe83b40dffb16de3f4c0f26d431fffa760481ecd94dbe32f4c92

Observation 556f3531-dcde-490f-bf2d-ecddee33cd3c · outbound

This paper cites GitHub repository (2019).https: //github.com/qubvel/segmentation_models.pytorch.

Do Diabetic Foot Ulcer Segmentation Models Generalize? A Cross-Dataset Benchmark of CNN and Transformer Architectures GitHub repository (2019).https: //github.com/qubvel/segmentation_models.pytorch

Reference 9

Resolution
unresolved
no resolver link, observed 2026-07-12T11:16:00.391340Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T11:16:00.391340Z digest=sha256:b82d71111e696a2c7057a069a2f0749617589fdb8cc661263d86ca399a46f28f

Observation 0187e4e8-79f0-4edf-ba20-d8d2f6bbc417 · outbound

This paper cites In: 2025 IEEE 13th International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applica- tions (IDAACS), pp.

Do Diabetic Foot Ulcer Segmentation Models Generalize? A Cross-Dataset Benchmark of CNN and Transformer Architectures In: 2025 IEEE 13th International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applica- tions (IDAACS), pp

Reference 10

Resolution
verified exact
doi, observed 2026-07-12T11:18:44.136735Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-12T11:16:00.391340Z digest=sha256:dc9e71386e2a1e97cd30672137ed3f17855934d2413aa1c1179054756377bd84

Observation 327bf8d5-2c8a-4065-977e-221be73461ef · outbound

This paper cites IEEE Signal Processing Letters 32, 4194–4198 (2025).https://doi.org/10.1109/LSP.2025.3617370.

Do Diabetic Foot Ulcer Segmentation Models Generalize? A Cross-Dataset Benchmark of CNN and Transformer Architectures IEEE Signal Processing Letters 32, 4194–4198 (2025).https://doi.org/10.1109/LSP.2025.3617370

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-07-12T11:18:44.131258Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-12T11:16:00.391340Z digest=sha256:5cc6b5d6b87315fe73698c830c3653a1035143e3e67f85049874dcb09ece32fd

Pith citing papers

No inbound Pith citation observations are available.