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Paper Citation Record · LEDGER

Dual-Attention U-Net++ with Class-Specific Ensembles and Bayesian Hyperparameter Optimization for Precise Wound and Scale Marker Segmentation

As of 7 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 0 inbound Pith citation observations for arXiv:2507.05314.

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

pith.paper-citation-record.v1
2507.05314 v1

Coverage vector

measured 24 of 24 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:38:58.460932Z

measured 24 of 24 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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

24 of 24 outbound references displayed

  • verified exact5
  • verified fuzzy3
  • unresolved13
  • parse uncertain0
  • malformed identifier2
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6de72ba3-53ab-4a1b-91e8-85163ffada9e · outbound

This paper cites write newline.

Dual-Attention U-Net++ with Class-Specific Ensembles and Bayesian Hyperparameter Optimization for Precise Wound and Scale Marker Segmentation write newline

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-06T19:38:56.120846Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:38:56.120846Z digest=sha256:4ed549f481e8468ed56a79027e6d7a7e6897c49e8e64b4e4e5a1e6322961cec1

Observation 4dd15ccf-6094-4933-909d-7ab3d436c8b2 · outbound

This paper cites sn-aps.bst.

Dual-Attention U-Net++ with Class-Specific Ensembles and Bayesian Hyperparameter Optimization for Precise Wound and Scale Marker Segmentation sn-aps.bst

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-06T19:38:56.179157Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:38:56.179157Z digest=sha256:d15ec6055f44b66a84ca6979fca302ba47abf8f42dc49e169b28a5bbd03cb42c

Observation 3ee58fe6-a7cf-4790-8410-ddb043eb1191 · outbound

This paper cites write newline.

Dual-Attention U-Net++ with Class-Specific Ensembles and Bayesian Hyperparameter Optimization for Precise Wound and Scale Marker Segmentation write newline

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-06T19:38:56.239381Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:38:56.239381Z digest=sha256:c273e4555c084bb346170cc97960d87911a20f7cc5cb8223878b5acf60046bc4

Observation 24d53c65-66ac-452f-b754-56652984e072 · outbound

This paper cites , Baqersad , J.

Dual-Attention U-Net++ with Class-Specific Ensembles and Bayesian Hyperparameter Optimization for Precise Wound and Scale Marker Segmentation , Baqersad , J

Reference 4

Resolution
metadata mismatch
raw_fallback, observed 2026-08-06T19:39:00.143257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T19:38:56.302970Z digest=sha256:1b31a20f825ca5d19852fbc8b5a1cc1952e38fad503119c3ef53931bca95e27a

Observation 7b6879ac-b517-4bb3-afa6-0165c3d15650 · outbound

This paper cites , Ladyzynski , P.

Dual-Attention U-Net++ with Class-Specific Ensembles and Bayesian Hyperparameter Optimization for Precise Wound and Scale Marker Segmentation , Ladyzynski , P

Reference 5

Resolution
verified exact
doi, observed 2026-08-06T19:38:59.691470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T19:38:56.410674Z digest=sha256:b77472cda49f649488fbaa73844eb4ff3d60a24c7112981ac82db5679e9307ea

Observation 317c90ae-f3f3-4176-84fa-dafc8c356763 · outbound

This paper cites , Wang , C.

Dual-Attention U-Net++ with Class-Specific Ensembles and Bayesian Hyperparameter Optimization for Precise Wound and Scale Marker Segmentation , Wang , C

Reference 6

Resolution
verified exact
doi, observed 2026-08-06T19:38:59.453070Z

Source-reported events for the cited work

correction dated 2018-09-12. Source: crossref record 10.1155/2018/4967290->10.1155/2018/4149103:correction, observed 2026-07-11T03:10:36.84394+00:00. This notice travels one citation hop only.

source=arxiv_source observed=2026-08-06T19:38:56.495529Z digest=sha256:41484e774ae5f1288d5e82c0bbc5cf4ea7d007c26571d0f7cf1ef6ccf84202db

Observation ac6d5c14-24e5-43e4-81c5-caf580aceed9 · outbound

This paper cites U-Net: Convolutional Networks for Biomedical Image Segmentation.

Dual-Attention U-Net++ with Class-Specific Ensembles and Bayesian Hyperparameter Optimization for Precise Wound and Scale Marker Segmentation U-Net: Convolutional Networks for Biomedical Image Segmentation

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-06T19:38:56.572468Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:38:56.572468Z digest=sha256:1b527be0ea907fd46f07b2904544b6d8e4d0c1c7ed66a4fffc815eba03564427

Observation 6720b890-76d8-463e-a18e-21ea3ee29751 · outbound

This paper cites , Zahia , S.

Dual-Attention U-Net++ with Class-Specific Ensembles and Bayesian Hyperparameter Optimization for Precise Wound and Scale Marker Segmentation , Zahia , S

Reference 8

Resolution
verified exact
doi, observed 2026-08-06T19:38:59.156864Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T19:38:56.652674Z digest=sha256:ab8078ff661157142c0563573ef77c11e2a2f637eae708082f77c9912645a555

Observation c0f1b948-45ce-4b14-bfb3-7437479880db · outbound

This paper cites , Wang , W.

Dual-Attention U-Net++ with Class-Specific Ensembles and Bayesian Hyperparameter Optimization for Precise Wound and Scale Marker Segmentation , Wang , W

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:39:00.795481Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T19:38:56.813555Z digest=sha256:3e8846ed61e9ccec9247ff9e9472a9ce8fa73c63a920806d6eef09604434de31

Observation 09c946c3-05f1-4703-bbb8-bf5f54fae6c8 · outbound

This paper cites , Rahman Siddiquee , M.M.

Dual-Attention U-Net++ with Class-Specific Ensembles and Bayesian Hyperparameter Optimization for Precise Wound and Scale Marker Segmentation , Rahman Siddiquee , M.M

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:39:00.610626Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T19:38:56.899934Z digest=sha256:25eb00c3449cefe2e87fdb8c5dbc72198b1d825ccb50c9130832778bf3320f7b

Observation 6b05259f-e2b0-4fe2-a5f6-32dc028ad162 · outbound

This paper cites , Zhu , Y.

Dual-Attention U-Net++ with Class-Specific Ensembles and Bayesian Hyperparameter Optimization for Precise Wound and Scale Marker Segmentation , Zhu , Y

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-06T19:38:57.001250Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:38:57.001250Z digest=sha256:e763b56f52329a73a20a6000c3f079cad129a1cecfc222a1a93a1a6aad584752

Observation 64465acb-26a3-49b1-8db5-a04f7aeacba4 · outbound

This paper cites , Li , D.

Dual-Attention U-Net++ with Class-Specific Ensembles and Bayesian Hyperparameter Optimization for Precise Wound and Scale Marker Segmentation , Li , D

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:39:00.479177Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T19:38:57.093230Z digest=sha256:34c543261512b90f7b33ae14b792c803ae91f5241f6d931e3c0b0075051c46c1

Observation 7333abe1-6ba0-4fae-b33f-47f2019228be · outbound

This paper cites , Sieberth , T.

Dual-Attention U-Net++ with Class-Specific Ensembles and Bayesian Hyperparameter Optimization for Precise Wound and Scale Marker Segmentation , Sieberth , T

Reference 13

Resolution
verified exact
doi, observed 2026-08-06T19:38:58.924693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T19:38:57.188258Z digest=sha256:61220bf4fb94b6865c54b4c536103c6cb75666f4b85992c1e2f1b53152da78eb

Observation 3ee3cad4-e997-4b17-9c40-7ab9b8c9ae41 · outbound

This paper cites , Mahbod , A.

Dual-Attention U-Net++ with Class-Specific Ensembles and Bayesian Hyperparameter Optimization for Precise Wound and Scale Marker Segmentation , Mahbod , A

Reference 14

Resolution
verified exact
doi, observed 2026-08-06T19:38:58.636850Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T19:38:57.304806Z digest=sha256:c06b0d167bc73f1ca9c4fcc83350440036059b50971b51f96ba4e009edbc35f4

Observation 9c2f0aba-dd0b-4e84-8dfb-0521db12f1f2 · outbound

This paper cites sn-basic.bst.

Dual-Attention U-Net++ with Class-Specific Ensembles and Bayesian Hyperparameter Optimization for Precise Wound and Scale Marker Segmentation sn-basic.bst

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-06T19:38:57.375955Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:38:57.375955Z digest=sha256:b7552b158275dfa842e56cae089de1089f9cc065207703c0ff789d6aaddd0d6a

Observation 3d4d0759-ac2c-47cb-87ba-74fc83750979 · outbound

This paper cites write newline.

Dual-Attention U-Net++ with Class-Specific Ensembles and Bayesian Hyperparameter Optimization for Precise Wound and Scale Marker Segmentation write newline

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-06T19:38:57.445243Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:38:57.445243Z digest=sha256:87d7b178388b576a5830c7ed59ea936ef09d8ad0a9a1890c41185168f7e2de6c

Observation d6028db5-bc9d-441e-b1d3-972365207d66 · outbound

This paper cites write newline.

Dual-Attention U-Net++ with Class-Specific Ensembles and Bayesian Hyperparameter Optimization for Precise Wound and Scale Marker Segmentation write newline

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-06T19:38:57.540600Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:38:57.540600Z digest=sha256:36cef1bccdd27e1a4e28df07d17578a97da649a92991fca080259b7330350387

Observation 39a62815-9922-43c6-823f-e36d92d8ce2d · outbound

This paper cites write newline.

Dual-Attention U-Net++ with Class-Specific Ensembles and Bayesian Hyperparameter Optimization for Precise Wound and Scale Marker Segmentation write newline

Reference 18

Resolution
malformed identifier
no resolver link, observed 2026-08-06T19:38:57.632079Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:38:57.632079Z digest=sha256:9e10d90817fd19358465a4a52da309a6e62129f4a8c6066761cd8e81adaf629c

Observation cffa0845-1e93-4039-8136-c91b3cb826df · outbound

This paper cites write newline.

Dual-Attention U-Net++ with Class-Specific Ensembles and Bayesian Hyperparameter Optimization for Precise Wound and Scale Marker Segmentation write newline

Reference 19

Resolution
malformed identifier
no resolver link, observed 2026-08-06T19:38:57.706498Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:38:57.706498Z digest=sha256:7e9761f73ae90432cb4b35116c40c38d5a28160ed4994190b55f364736469554

Observation 124073d9-490d-4c22-a445-c92e1b5090e7 · outbound

This paper cites sn-nature.bst.

Dual-Attention U-Net++ with Class-Specific Ensembles and Bayesian Hyperparameter Optimization for Precise Wound and Scale Marker Segmentation sn-nature.bst

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-06T19:38:57.836498Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:38:57.836498Z digest=sha256:a49490a6083e2546392d2b3e840f26c48055c7942037ce0fccbdbca17142ead1

Observation 9303d276-59fd-4d70-8be1-59fc7c97a037 · outbound

This paper cites write newline.

Dual-Attention U-Net++ with Class-Specific Ensembles and Bayesian Hyperparameter Optimization for Precise Wound and Scale Marker Segmentation write newline

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-06T19:38:57.920118Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:38:57.920118Z digest=sha256:fb11b46b09092d91183f19dd675027d4ee67a6c55429fe2165fa48204c04837e

Observation ce492bc9-c7b8-4412-bdcd-2b16e039890f · outbound

This paper cites write newline.

Dual-Attention U-Net++ with Class-Specific Ensembles and Bayesian Hyperparameter Optimization for Precise Wound and Scale Marker Segmentation write newline

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-06T19:38:58.125918Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:38:58.125918Z digest=sha256:50487f2e5367f45a06e9d2eabb166e20ab3c7065b5e9b72061224300863e8bbf

Observation d36e14d4-143f-4a90-ba50-e78caec6fe2e · outbound

This paper cites sn-vancouver-num.bst.

Dual-Attention U-Net++ with Class-Specific Ensembles and Bayesian Hyperparameter Optimization for Precise Wound and Scale Marker Segmentation sn-vancouver-num.bst

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-06T19:38:58.297578Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:38:58.297578Z digest=sha256:d2d56c08edcc30cbb004929329e4b745945fbca041369a0a5f36b2092c53f9d9

Observation 46d57b75-958a-4a27-806a-6f3fa9fcad71 · outbound

This paper cites write newline.

Dual-Attention U-Net++ with Class-Specific Ensembles and Bayesian Hyperparameter Optimization for Precise Wound and Scale Marker Segmentation write newline

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-06T19:38:58.460932Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:38:58.460932Z digest=sha256:ab3bfae8c5dd573b5855ae1bfc00df9a934f78cca6363d92a60eb11e69911148

Pith citing papers

No inbound Pith citation observations are available.