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Paper Citation Record · LEDGER

CENet: Context Enhancement Network for Medical Image Segmentation

As of 8 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 0 inbound Pith citation observations for arXiv:2505.18423.

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

pith.paper-citation-record.v1
2505.18423 v1

Coverage vector

measured 29 of 29 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:35:12.841860Z

measured 29 of 29 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

29 of 29 outbound references displayed

  • verified exact0
  • verified fuzzy11
  • unresolved17
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a7e58d04-8b3c-4d19-8ba6-3f47c136c671 · outbound

This paper cites IEEE Transactions on Pattern Analysis and Machine Intelligence (2024).

CENet: Context Enhancement Network for Medical Image Segmentation IEEE Transactions on Pattern Analysis and Machine Intelligence (2024)

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:35:16.563731Z

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=2026-08-07T14:35:10.089952Z digest=sha256:ffaece5acf85c5cb2d859e38544e98a04f0dae9018b17b09a7c30c7747d556c7

Observation a49c2ca2-5679-41cd-9b04-71b25b2c1b0c · outbound

This paper cites an unresolved cited work.

CENet: Context Enhancement Network for Medical Image Segmentation Unresolved cited work

Reference 2

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unresolved
raw_fallback, observed 2026-08-07T14:35:16.381819Z

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=2026-08-07T14:35:10.189722Z digest=sha256:7193f09f62240086c0af549e19566374d7ba9b2bfd47a80f3b7ebfb25a39f089

Observation c7e76471-8531-4aa3-8cd8-631bbc2329d5 · outbound

This paper cites an unresolved cited work.

CENet: Context Enhancement Network for Medical Image Segmentation Unresolved cited work

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-07T14:35:10.336127Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:35:10.336127Z digest=sha256:35623524019b997a4feb071edbd9e62d50eb9b51125d48357f81eb51e1c06afb

Observation 8d298eec-1e1e-48d5-898a-beaf893a88da · outbound

This paper cites In: Proceedings of the European Conference on Computer Vision Workshops(ECCVW) (2022).

CENet: Context Enhancement Network for Medical Image Segmentation In: Proceedings of the European Conference on Computer Vision Workshops(ECCVW) (2022)

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:35:16.259859Z

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=2026-08-07T14:35:10.447530Z digest=sha256:a9e188f2949b7613b31d644d2a564e25ed766674c4e63f35b9efc5ed3926e1c7

Observation 7a3799f1-a887-47bb-ba9b-6ae226dfb59a · outbound

This paper cites TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation.

CENet: Context Enhancement Network for Medical Image Segmentation TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-07T14:35:10.526411Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:35:10.526411Z digest=sha256:a0f1fa5e191747a98ea57631cd0e8bcfc50f25efa53b1340be4e889afa8cc80a

Observation f7e06f87-8bca-405c-bcf4-3b0cda4cc0d4 · outbound

This paper cites In: Proceedings of the European conference on computer vision (ECCV).

CENet: Context Enhancement Network for Medical Image Segmentation In: Proceedings of the European conference on computer vision (ECCV)

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-07T14:35:10.629466Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:35:10.629466Z digest=sha256:73f4e7c47428b32d3580a7a870816f3366e7b0f33516850c26cb2bb11dd0b8c4

Observation 6a97e02a-a330-4249-8cbd-0d0f19dff2c5 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

CENet: Context Enhancement Network for Medical Image Segmentation An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-07T14:35:10.722233Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:35:10.722233Z digest=sha256:af3ea55b961b58ef19ee410bcf3dcffdcadf603eefd207ea6780508de91b778b

Observation a4fe64ea-e15c-4871-b77c-4468e6927801 · outbound

This paper cites Computational visual media9(4), 733–752 (2023).

CENet: Context Enhancement Network for Medical Image Segmentation Computational visual media9(4), 733–752 (2023)

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:35:15.853549Z

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=2026-08-07T14:35:10.815837Z digest=sha256:69565e7a0e9a2470819a4537da3090492fc9063667d2e61325c6ae46731c0cb3

Observation cddf5a0d-fa2a-45e9-b456-15adc1de6d63 · outbound

This paper cites In: Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision.

CENet: Context Enhancement Network for Medical Image Segmentation In: Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:35:15.450298Z

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=2026-08-07T14:35:10.916055Z digest=sha256:c0301d621a521368acf4f3b5d0f5d30b044d68c468470c601583387f5e3c188a

Observation c74e9dce-1c37-406d-94ae-81b32723ed6d · outbound

This paper cites IEEE Transactions on Medical Imaging pp.

CENet: Context Enhancement Network for Medical Image Segmentation IEEE Transactions on Medical Imaging pp

Reference 10

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no resolver link, observed 2026-08-07T14:35:11.009565Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:35:11.009565Z digest=sha256:31b9964110c5256a9caed4fca711461c2516792d873f6af31d0f4fe3bee16849

Observation d65fa511-f42d-4daf-bb45-2cca85bbfdbe · outbound

This paper cites IEEE Transactions on Medical Imaging (2022).

CENet: Context Enhancement Network for Medical Image Segmentation IEEE Transactions on Medical Imaging (2022)

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:35:15.150739Z

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=2026-08-07T14:35:11.087584Z digest=sha256:5917c6de260378c5e416f7263d1094e28b38aee12060df6443d2e1efea3cf4b8

Observation fdb0fbd1-1021-44e4-959f-b952ba7b9d6d · outbound

This paper cites Drones7(5), 287 (2023) 10.

CENet: Context Enhancement Network for Medical Image Segmentation Drones7(5), 287 (2023) 10

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:35:14.809409Z

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=2026-08-07T14:35:11.202456Z digest=sha256:a966956a7dc6b65086391532a9852309b4dd98723f17052b3afa13b44f91b838

Observation 3593cb24-a8ac-46e9-b76d-94c6d246f5bb · outbound

This paper cites MSA$^2$Net: Multi-scale Adaptive Attention-guided Network for Medical Image Segmentation.

CENet: Context Enhancement Network for Medical Image Segmentation MSA$^2$Net: Multi-scale Adaptive Attention-guided Network for Medical Image Segmentation

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-07T14:35:11.274559Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:35:11.274559Z digest=sha256:27032adf70efd93cdeba9dca0382797527616dddfefd2f1df94cdc3c49d9e7f8

Observation 1eed96ed-3d3d-4cca-884a-fe2d0b2c31a9 · outbound

This paper cites IEEE Journal of Biomedical and Health Informatics27(10), 4828–4839 (2023).

CENet: Context Enhancement Network for Medical Image Segmentation IEEE Journal of Biomedical and Health Informatics27(10), 4828–4839 (2023)

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-07T14:35:11.363400Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:35:11.363400Z digest=sha256:1c278bad7889cab45094177129d4325a8615ed9a0fde40aae86eb10b9f76149e

Observation db264a93-7b7b-40a4-be31-29f6ee55600f · outbound

This paper cites In: Proc.

CENet: Context Enhancement Network for Medical Image Segmentation In: Proc

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-07T14:35:11.456130Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:35:11.456130Z digest=sha256:d5c04a50d923554f41d2d919e0a47be7ffbdcfc2c0c3a5feac2d6c6efc0f2714

Observation 8115c254-49b1-4a80-b578-b31ccd6016ff · outbound

This paper cites In: Proceedings of the IEEE/CVF international conference on computer vision.

CENet: Context Enhancement Network for Medical Image Segmentation In: Proceedings of the IEEE/CVF international conference on computer vision

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-07T14:35:11.527223Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:35:11.527223Z digest=sha256:5ddc2d8a7f93d956fbb6481304a8614969864503661615b2a3f8a38066d45114

Observation c1097d57-c5e7-4675-a541-d174ddfd0c37 · outbound

This paper cites LCAUnet: A skin lesion segmentation network with enhanced edge and body fusion.

CENet: Context Enhancement Network for Medical Image Segmentation LCAUnet: A skin lesion segmentation network with enhanced edge and body fusion

Reference 17

Resolution
metadata mismatch
local_arxiv, observed 2026-08-07T14:35:13.069528Z

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=2026-08-07T14:35:11.614660Z digest=sha256:51e12a283c0fa93c194942a233a5cd9f1befbd2c7a56b80532caaed96cef8f12

Observation 80a0efc6-e30b-4501-aa61-a30c1b45f094 · outbound

This paper cites Attention U-Net: Learning Where to Look for the Pancreas.

CENet: Context Enhancement Network for Medical Image Segmentation Attention U-Net: Learning Where to Look for the Pancreas

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-07T14:35:11.713507Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:35:11.713507Z digest=sha256:a31e724c458ebd7e5a0735b8c98a5d0ae4911a401911826cca80758e1569a206

Observation 65043bb7-81e6-47d5-b062-f6facc3e97ce · outbound

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

CENet: Context Enhancement Network for Medical Image Segmentation In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-07T14:35:11.830958Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:35:11.830958Z digest=sha256:940f9971dd3a1e8378aa11847253dd138f4170f17cd14779279208df7840fdd1

Observation e8869535-923b-485a-8b14-4bf68317902a · outbound

This paper cites In: Medical Image Computing and Computer-Assisted Intervention–MICCAI 2015: 18th International Conference, Munich, Germany, Oc- tober 5-9, 2015, Proceedings, Part III 18.

CENet: Context Enhancement Network for Medical Image Segmentation In: Medical Image Computing and Computer-Assisted Intervention–MICCAI 2015: 18th International Conference, Munich, Germany, Oc- tober 5-9, 2015, Proceedings, Part III 18

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-07T14:35:11.906914Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:35:11.906914Z digest=sha256:15b7258b193c7eb57ef20c970260b95b82bb875cf94d8c70cdf678162896b77a

Observation a29094bf-1900-4ac8-828b-83f37ceed7fe · outbound

This paper cites VM-UNet: Vision Mamba UNet for Medical Image Segmentation.

CENet: Context Enhancement Network for Medical Image Segmentation VM-UNet: Vision Mamba UNet for Medical Image Segmentation

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-07T14:35:11.996960Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:35:11.996960Z digest=sha256:c1b6f966c5309bdd0f239f1ba4e707786e1955fa7d037abdd0896e7f94b31ad2

Observation dd6297a6-2ad2-492f-9f92-a8a81e657a30 · outbound

This paper cites Medical Image Analysis88, 102802 (2023).

CENet: Context Enhancement Network for Medical Image Segmentation Medical Image Analysis88, 102802 (2023)

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:35:14.494754Z

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=2026-08-07T14:35:12.088111Z digest=sha256:ae4190e402ff5ef302ffd291f6e25561f1f044f9414bf64d97ec16062886cf51

Observation ef4a751d-5b0e-4142-8d04-66c6d03fa5d0 · outbound

This paper cites an unresolved cited work.

CENet: Context Enhancement Network for Medical Image Segmentation Unresolved cited work

Reference 23

Resolution
unresolved
raw_fallback, observed 2026-08-07T14:35:14.299714Z

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=2026-08-07T14:35:12.214330Z digest=sha256:187a026cf33f7446270eca4fd69871ca7f76cc5c263092392e0e2fe042ad2df0

Observation d707c425-fd8f-4a53-bb64-eb508bb88b2e · outbound

This paper cites an unresolved cited work.

CENet: Context Enhancement Network for Medical Image Segmentation Unresolved cited work

Reference 24

Resolution
unresolved
raw_fallback, observed 2026-08-07T14:35:14.100470Z

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=2026-08-07T14:35:12.346870Z digest=sha256:c4ca3e042f397d629ed1e9638a51003f646b193a27e31265d7a22ec9da9b48d5

Observation 56fff748-b9db-430b-b123-fb694b62fc08 · outbound

This paper cites In: Proceedings of the AAAI conference on artificial intelligence.

CENet: Context Enhancement Network for Medical Image Segmentation In: Proceedings of the AAAI conference on artificial intelligence

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:35:13.923482Z

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=2026-08-07T14:35:12.421609Z digest=sha256:46780604723dd77aff5990cdae878c5a7bfcc94f799697c75c104b49530c1b45

Observation e2adf620-ea26-4d35-9793-ffcd5c1adca9 · outbound

This paper cites In: ICASSP 2022-2022 IEEE international conference on acoustics, speech and signal processing (ICASSP).

CENet: Context Enhancement Network for Medical Image Segmentation In: ICASSP 2022-2022 IEEE international conference on acoustics, speech and signal processing (ICASSP)

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:35:13.724269Z

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=2026-08-07T14:35:12.547125Z digest=sha256:ec961e50e9603f003f036a85fd8945bb6212f42f7014bff697d7b91ecac65b52

Observation 5310aeea-5499-45a7-9668-f2f2b8a02718 · outbound

This paper cites Computational Visual Media8(3), 415–424 (2022).

CENet: Context Enhancement Network for Medical Image Segmentation Computational Visual Media8(3), 415–424 (2022)

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:35:13.555476Z

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=2026-08-07T14:35:12.653288Z digest=sha256:88881d900514d8a9b4132c136da45849c05fc728a712be98721b5d52b0dc8149

Observation a82a363d-0092-4acc-928c-f7982ba74b46 · outbound

This paper cites In: Pro- ceedings of the IEEE conference on computer vision and pattern recognition.

CENet: Context Enhancement Network for Medical Image Segmentation In: Pro- ceedings of the IEEE conference on computer vision and pattern recognition

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:35:13.406114Z

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=2026-08-07T14:35:12.769437Z digest=sha256:4a474f1ce420620a143c3961b637d7bf13e383fd6abd0a0e2db0f58a5c7dc17a

Observation 0083a72b-f3a8-4e04-895a-ecd1b31099c7 · outbound

This paper cites Differential Transformer.

CENet: Context Enhancement Network for Medical Image Segmentation Differential Transformer

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-07T14:35:12.841860Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:35:12.841860Z digest=sha256:10cdbac5ab7f87ef3dc3d503b25db516940ca99738b9aff8ac028df6f75a651b

Pith citing papers

No inbound Pith citation observations are available.