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Paper Citation Record · LEDGER

FAMSeg: Fetal Femur and Cranial Ultrasound Segmentation Using Feature-Aware Attention and Mamba Enhancement

As of 16 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 0 inbound Pith citation observations for arXiv:2506.07431.

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

pith.paper-citation-record.v1
2506.07431 v2

Coverage vector

measured 22 of 22 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:38:14.146883Z

measured 22 of 22 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+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

22 of 22 outbound references displayed

  • verified exact0
  • verified fuzzy17
  • unresolved4
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation cdd35bc2-184a-4121-9848-9db679f21264 · outbound

This paper cites IEEE Transactions on Industrial Informatics 17(11), 7771–7780 (2021).

FAMSeg: Fetal Femur and Cranial Ultrasound Segmentation Using Feature-Aware Attention and Mamba Enhancement IEEE Transactions on Industrial Informatics 17(11), 7771–7780 (2021)

Reference 1

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation b1025bac-5e59-46fd-95e2-185e70b69376 · outbound

This paper cites Engineer- ing Applications of Artificial Intelligence136, 108,885 (2024).

FAMSeg: Fetal Femur and Cranial Ultrasound Segmentation Using Feature-Aware Attention and Mamba Enhancement Engineer- ing Applications of Artificial Intelligence136, 108,885 (2024)

Reference 2

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 9bd1e0cb-cae7-4314-9b4f-76419addadf4 · outbound

This paper cites In: Forty-first International Conference on Machine Learning (2024).

FAMSeg: Fetal Femur and Cranial Ultrasound Segmentation Using Feature-Aware Attention and Mamba Enhancement In: Forty-first International Conference on Machine Learning (2024)

Reference 3

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 5afe799f-ac15-4221-be96-02466ae40b36 · outbound

This paper cites IEEE Journal of Biomedical and Health Informatics (2024).

FAMSeg: Fetal Femur and Cranial Ultrasound Segmentation Using Feature-Aware Attention and Mamba Enhancement IEEE Journal of Biomedical and Health Informatics (2024)

Reference 4

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 63a6deec-669c-4aa4-811a-ef964619c675 · outbound

This paper cites Future Generation Computer Systems135, 234–243 (2022).

FAMSeg: Fetal Femur and Cranial Ultrasound Segmentation Using Feature-Aware Attention and Mamba Enhancement Future Generation Computer Systems135, 234–243 (2022)

Reference 5

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation c253a40d-069b-475e-a40b-c6d25fb22dfa · outbound

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

FAMSeg: Fetal Femur and Cranial Ultrasound Segmentation Using Feature-Aware Attention and Mamba Enhancement In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp

Reference 6

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation e1add72d-6582-4ad3-8991-4b569bc9dfb2 · outbound

This paper cites Advances in Neural Information Processing Systems37, 34,800–34,823 (2025).

FAMSeg: Fetal Femur and Cranial Ultrasound Segmentation Using Feature-Aware Attention and Mamba Enhancement Advances in Neural Information Processing Systems37, 34,800–34,823 (2025)

Reference 7

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 4a1b1e1d-98ff-4728-acaf-7cebee928414 · outbound

This paper cites Computers in Biology and Medicine169, 107,898 (2024).

FAMSeg: Fetal Femur and Cranial Ultrasound Segmentation Using Feature-Aware Attention and Mamba Enhancement Computers in Biology and Medicine169, 107,898 (2024)

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:38:14.496847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T05:38:14.072016Z digest=sha256:c92916a2566de2d669b7de2596166f5083d5ed7c6b5b9c133d21d972123ae3b5

Observation 906a5a30-c91d-4546-9ceb-27a96fc2d1bd · outbound

This paper cites IEEE/ACM Transactions on Computational Biology and Bioinformatics21(4), 1007–1018 (2024).

FAMSeg: Fetal Femur and Cranial Ultrasound Segmentation Using Feature-Aware Attention and Mamba Enhancement IEEE/ACM Transactions on Computational Biology and Bioinformatics21(4), 1007–1018 (2024)

Reference 9

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T05:38:14.076862Z digest=sha256:bfb285b68e23db27dd6c568b26ec2f3994c87668f75cc90a4ef79df849b55a96

Observation 6250a949-936e-4fb4-a789-0a4eeb037fef · outbound

This paper cites IEEE Journal of Biomedical and Health Informatics26(11), 5540–5550 (2022).

FAMSeg: Fetal Femur and Cranial Ultrasound Segmentation Using Feature-Aware Attention and Mamba Enhancement IEEE Journal of Biomedical and Health Informatics26(11), 5540–5550 (2022)

Reference 10

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 927b2552-3f26-4ba2-b3d4-324a10832155 · outbound

This paper cites SAM2-Adapter: Evaluating & Adapting Segment Anything 2 in Downstream Tasks: Camouflage, Shadow, Medical Image Segmentation, and More.

FAMSeg: Fetal Femur and Cranial Ultrasound Segmentation Using Feature-Aware Attention and Mamba Enhancement SAM2-Adapter: Evaluating & Adapting Segment Anything 2 in Downstream Tasks: Camouflage, Shadow, Medical Image Segmentation, and More

Reference 11

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation ed1cbb06-f741-43a8-95d3-dde6a9b2f7bc · outbound

This paper cites In: International Conference on Medi- cal Image Computing and Computer-Assisted Intervention, pp.

FAMSeg: Fetal Femur and Cranial Ultrasound Segmentation Using Feature-Aware Attention and Mamba Enhancement In: International Conference on Medi- cal Image Computing and Computer-Assisted Intervention, pp

Reference 12

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T05:38:14.091570Z digest=sha256:ab8f6654ed99d125502e80b14fee0b3b1c5f7f2ad07a57ccdeb823cb36ce175f

Observation ba2894b5-94e1-41ad-8a3e-e386b24469cd · outbound

This paper cites In: International Conference on Machine Learning (ICML) (2024).

FAMSeg: Fetal Femur and Cranial Ultrasound Segmentation Using Feature-Aware Attention and Mamba Enhancement In: International Conference on Machine Learning (ICML) (2024)

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:38:14.442025Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T05:38:14.096326Z digest=sha256:a98922302e82b402d5bb1a22f07d3d0fe0b1f07835114a7bba59b9fd7c5008b4

Observation bd679d19-e719-4715-b0a9-1330e95bd0c4 · outbound

This paper cites Advances in neural information processing systems35, 1140–1156 (2022).

FAMSeg: Fetal Femur and Cranial Ultrasound Segmentation Using Feature-Aware Attention and Mamba Enhancement Advances in neural information processing systems35, 1140–1156 (2022)

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:38:14.426660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T05:38:14.101495Z digest=sha256:cad29cffcf937748bb234fdbc9dd9faa70d9164f6537a767bffe0b968bd6b332

Observation 6635548c-95fe-4fd9-bcf3-995e570a2893 · outbound

This paper cites In: Deep learning with Python: A hands-on introduction, pp.

FAMSeg: Fetal Femur and Cranial Ultrasound Segmentation Using Feature-Aware Attention and Mamba Enhancement In: Deep learning with Python: A hands-on introduction, pp

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:38:14.412182Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T05:38:14.106229Z digest=sha256:cf8777f52659b15f12d6e7bd4379e6d29e99e14dbb8e9414313ea1ff2ab062e5

Observation 6f70ec75-13c4-420a-bc88-f101a8568fb7 · outbound

This paper cites Decoupled Weight Decay Regularization.

FAMSeg: Fetal Femur and Cranial Ultrasound Segmentation Using Feature-Aware Attention and Mamba Enhancement Decoupled Weight Decay Regularization

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-07T05:38:14.116861Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:38:14.116861Z digest=sha256:4691f5aa1f5d0d862c28a271854f9b6845e1b0b2230070bef4806001f546c25f

Observation e5acd221-d77d-41b3-9737-d1ccb16ded94 · outbound

This paper cites In: Proceedings of the European Conference on Computer Vision (ECCV), pp.

FAMSeg: Fetal Femur and Cranial Ultrasound Segmentation Using Feature-Aware Attention and Mamba Enhancement In: Proceedings of the European Conference on Computer Vision (ECCV), pp

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:38:14.398072Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T05:38:14.121463Z digest=sha256:cb5e9d52774db5cbf89fc7b91334ddcbf0a555f24899733f8d935108ce2e7851

Observation 5da364d7-0c48-4575-9875-8e88524fd3e2 · outbound

This paper cites Twins: Revisiting the Design of Spatial Attention in Vision Transformers.

FAMSeg: Fetal Femur and Cranial Ultrasound Segmentation Using Feature-Aware Attention and Mamba Enhancement Twins: Revisiting the Design of Spatial Attention in Vision Transformers

Reference 19

Resolution
metadata mismatch
local_arxiv, observed 2026-08-07T05:38:14.323697Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T05:38:14.126477Z digest=sha256:82072b407be0b7f864aa94027092a27db48dfa931d406faacca841b33a16a8f0

Observation 3a2c5ca4-55aa-4981-a96f-e957d7a935b1 · outbound

This paper cites Swin Transformer: Hierarchical Vision Transformer using Shifted Windows.

FAMSeg: Fetal Femur and Cranial Ultrasound Segmentation Using Feature-Aware Attention and Mamba Enhancement Swin Transformer: Hierarchical Vision Transformer using Shifted Windows

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-07T05:38:14.131547Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:38:14.131547Z digest=sha256:436fbe2f4af3d8dfe9f6b3bad14f689eba1148868c95e69e88a06aa59c48a045

Observation ce34770f-63a9-4dbc-b78b-e338eec232f1 · outbound

This paper cites In: The IEEE Inter- national Conference on Computer Vision (ICCV), pp.

FAMSeg: Fetal Femur and Cranial Ultrasound Segmentation Using Feature-Aware Attention and Mamba Enhancement In: The IEEE Inter- national Conference on Computer Vision (ICCV), pp

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-07T05:38:14.136650Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:38:14.136650Z digest=sha256:19e1a5b54307f59019e53efe7dae6f5245ba1920c3764df4bba6576463c50e5f

Observation 0ce52f5d-a1df-475f-ac2f-d3a0529b2af2 · outbound

This paper cites Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022).

FAMSeg: Fetal Femur and Cranial Ultrasound Segmentation Using Feature-Aware Attention and Mamba Enhancement Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022)

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:38:14.384190Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T05:38:14.142223Z digest=sha256:874d0e35d0832a9f2c562fbecc3cb66d6c251f2e6cb6c5a8a331e9bf116a9f20

Observation 99ef4f59-b710-4687-9d9c-781ecacab364 · outbound

This paper cites International Journal of Computer Vision pp.

FAMSeg: Fetal Femur and Cranial Ultrasound Segmentation Using Feature-Aware Attention and Mamba Enhancement International Journal of Computer Vision pp

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:38:14.370116Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Pith citing papers

No inbound Pith citation observations are available.