Pith. sign in

Paper Citation Record · LEDGER

CENet: Context Enhancement Network for Medical Image Segmentation

As of 20 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 2026-08-19T06:32:44.657259+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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T14:35:10.089952Z digest=sha256:b2c528e84532f582e5823b22bb5bb2c10c29130bfe8827aa159a26d29b65ec00

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

Resolution
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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T14:35:10.189722Z digest=sha256:89a9ce93534fa420c73d19c78b09380a5834962b4507a69fd3b9a42c3f557eac

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:df5ffd7db5a5d2f1cdaad4102050f7eb7fcbfbd49ceb2bc2cde4e44039654db2

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T14:35:10.447530Z digest=sha256:4496d86a4b9a361712522b1021e0c82d41fdb649191e1c63b19484f958244b4b

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=sha256:27d302f215919a904f89964ff6bb11bbb254a8ee8a20df1979af3c1d19adda22

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:ce2cbadb098dda9ffc4863c3daa45177b640b2e05399c54938f4f3e0a7215c9d

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=sha256:4414333e8fad5724ab4efaeddb4427b65649972b280984ee80ac6e79bf683c7d

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T14:35:10.815837Z digest=sha256:7db96ca330f6721793be4dd3605f2dfc13cd9d2433722c1322cd6e889cb3c3cd

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T14:35:10.916055Z digest=sha256:f290a2f472c96bceb796503b0acdb11e2f9e7e18ce5253d2e363fe3bed808cfb

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

Resolution
unresolved
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:d848da59eb6631a09d5b23cce07959cce367f6115000ac787e885886783742ba

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T14:35:11.087584Z digest=sha256:92f6f8aacb84e80705c5ed57da56e2ecc8fe73e7229cc601b44d2b0ed071b0d0

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T14:35:11.202456Z digest=sha256:4d843a0d04011b66f39c45727822dad29e90fe397d3b1a721f6a03943dc5babe

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:fdfb5925122dae7e31f57cef9b0f6b87673ce997d6289a9d83eb9f1ddaaebedd

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=sha256:09903f1348f1ef44281c223e46b86e7e7d73f45b7e56fbb6e01cb133bf7afb04

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=sha256:1a83404c37ac2f247c5436be31dd766e9a978cdc11607951695d18067f982d00

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:dfedc3ea030ab284ffcee36f94c54b3146e9fc21c593732f81f0d67916c84f2b

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T14:35:11.614660Z digest=sha256:78f67ce08a3802cfce6cce6a972f414c81faed589645b1d6cdebc703d2052de3

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=sha256:4bec4cec91af4134ee93223fe8fa7365e7a46cebd5942f584a14cb1fa0226323

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=sha256:38457bbe063d023b5aa954c15d83a10ca5b3776e8e9d834bd34be696ee71d7ea

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=sha256:52b8451130a06f4d7f5ce30e5ca36d81d2cbaab0c08597927d3516adb08aa321

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:af1d62c20c59d5794b0882dfac627e27d8206fba47ad621203b0c8e874f8d5a5

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T14:35:12.088111Z digest=sha256:c9359ea16bcbc8fc4ba01a7b6354158f4dbe3fa7bb6f6c383ccd81fc46c1b103

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T14:35:12.214330Z digest=sha256:07832bcc9daaac4c9b3db5d193cc8d9db69dba9e8e03771b0fdca2f2c1c78abd

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T14:35:12.346870Z digest=sha256:2895a0fbeee7cb718980f533a1d27077f4a98873f2a1431bc7d32301fdc6bba8

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T14:35:12.421609Z digest=sha256:a3fe50bc2f1b42358e3d3ed8f0ef2649c0d8ce39a91ef6a68e5092dac54cbdf7

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T14:35:12.547125Z digest=sha256:56b9def76a761de821b406415c124504d2b3cbf077acac3a1779ea6a28767938

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T14:35:12.653288Z digest=sha256:4f6a086e8f0226e747b86824a5befc85d13a36bcacfdc79f8863cd5c3f5c3141

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T14:35:12.769437Z digest=sha256:e5edfefd0fba8b8179be7ccd5969af8c434547b3ea84820c6db37fa4c420489e

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:ff5cf2dbfafa4a9d4a2208fc4f6d3a9a221d39d32a26ccc19a0bd5875d434b09

Pith citing papers

No inbound Pith citation observations are available.