Paper Citation Record · LEDGER

XAG-Net: A Cross-Slice Attention and Skip Gating Network for 2.5D Femur MRI Segmentation

As of 7 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 0 inbound Pith citation observations for arXiv:2508.06258.

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

pith.paper-citation-record.v1
2508.06258 v1

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T22:53:36.138052Z

measured 15 of 15 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

15 of 15 outbound references displayed

verified exact6
verified fuzzy8
unresolved1
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation fcfee061-a843-4844-a35c-66a343ce8b9a · outbound

This paper cites A two-stage deep learning network for automated femoral segmentation in bilateral lower limb ct scans,.

XAG-Net: A Cross-Slice Attention and Skip Gating Network for 2.5D Femur MRI Segmentation A two-stage deep learning network for automated femoral segmentation in bilateral lower limb ct scans,

Reference 1

Resolution: verified exact; doi, observed 2026-08-05T22:53:36.551485Z

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.

Observation d2393db2-95b7-4ea3-8c08-0de7d510de9b · outbound

This paper cites Medical image segmentation automatic quality control: A multi-dimensional approach,.

XAG-Net: A Cross-Slice Attention and Skip Gating Network for 2.5D Femur MRI Segmentation Medical image segmentation automatic quality control: A multi-dimensional approach,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:53:39.576216Z

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.

Observation fc2cb622-c1aa-4185-8da4-93a7d9700445 · outbound

This paper cites U-net: Convolutional networks for biomedical image segmentation,.

XAG-Net: A Cross-Slice Attention and Skip Gating Network for 2.5D Femur MRI Segmentation U-net: Convolutional networks for biomedical image segmentation,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:53:39.328201Z

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.

Observation bb5c4e4f-d5ba-4319-8793-18c2bd062e80 · outbound

This paper cites Bridging 2d and 3d segmentation networks for computation-efficient volumetric medical image segmentation: An empirical study of 2.5d solutions,.

XAG-Net: A Cross-Slice Attention and Skip Gating Network for 2.5D Femur MRI Segmentation Bridging 2d and 3d segmentation networks for computation-efficient volumetric medical image segmentation: An empirical study of 2.5d solutions,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:53:39.120926Z

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.

Observation 74390edd-2243-449b-a1d0-6b8701a82b0f · outbound

This paper cites 3d u-net: Learning dense volumetric segmentation from sparse annotation,.

XAG-Net: A Cross-Slice Attention and Skip Gating Network for 2.5D Femur MRI Segmentation 3d u-net: Learning dense volumetric segmentation from sparse annotation,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:53:38.877632Z

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.

Observation 72e428eb-d520-41b4-8d63-54da0196bd3d · outbound

This paper cites A flexible 2.5d medical image segmentation approach with in-slice and cross-slice attention,.

XAG-Net: A Cross-Slice Attention and Skip Gating Network for 2.5D Femur MRI Segmentation A flexible 2.5d medical image segmentation approach with in-slice and cross-slice attention,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:53:38.626128Z

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.

Observation e762efeb-21de-40e9-84a4-19afc0738c2a · outbound

This paper cites Segmentation of the proximal femur from mr images using deep convolutional neural networks,.

XAG-Net: A Cross-Slice Attention and Skip Gating Network for 2.5D Femur MRI Segmentation Segmentation of the proximal femur from mr images using deep convolutional neural networks,

Reference 7

Resolution: verified exact; doi, observed 2026-08-05T22:53:36.395946Z

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.

Observation 3f8b9f1d-f33c-438a-9c1d-a601329acc98 · outbound

This paper cites Performance Analysis of Deep Learning Models for Femur Segmentation in MRI Scan.

XAG-Net: A Cross-Slice Attention and Skip Gating Network for 2.5D Femur MRI Segmentation Performance Analysis of Deep Learning Models for Femur Segmentation in MRI Scan

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-08-05T22:53:37.609118Z

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.

Observation 797341dd-e81e-4d83-bbfd-249b72ad9fb1 · outbound

This paper cites CSAM: A 2.5D Cross-Slice Attention Module for Anisotropic Volumetric Medical Image Segmentation,.

XAG-Net: A Cross-Slice Attention and Skip Gating Network for 2.5D Femur MRI Segmentation CSAM: A 2.5D Cross-Slice Attention Module for Anisotropic Volumetric Medical Image Segmentation,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:53:38.401382Z

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.

Observation 7d33d6e5-83d3-43b6-a71f-2f34fd5a215c · outbound

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

XAG-Net: A Cross-Slice Attention and Skip Gating Network for 2.5D Femur MRI Segmentation Attention U-Net: Learning Where to Look for the Pancreas

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-05T22:53:35.395906Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e7311f7d-4512-4426-8785-ce608795dc28 · outbound

This paper cites A 2.5d cancer segmentation for mri images based on u-net,.

XAG-Net: A Cross-Slice Attention and Skip Gating Network for 2.5D Femur MRI Segmentation A 2.5d cancer segmentation for mri images based on u-net,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:53:38.131174Z

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.

Observation b352387d-aa12-440a-aa78-4a48afa1172d · outbound

This paper cites Rsanet: Recurrent slice-wise attention network for mul- tiple sclerosis lesion segmentation,.

XAG-Net: A Cross-Slice Attention and Skip Gating Network for 2.5D Femur MRI Segmentation Rsanet: Recurrent slice-wise attention network for mul- tiple sclerosis lesion segmentation,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:53:37.831065Z

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.

Observation 83c94d8c-c279-4380-a517-171626359b7f · outbound

This paper cites Medvis suite: A framework for mri visualization and u-net-based bone segmentation with in-depth evaluation,.

XAG-Net: A Cross-Slice Attention and Skip Gating Network for 2.5D Femur MRI Segmentation Medvis suite: A framework for mri visualization and u-net-based bone segmentation with in-depth evaluation,

Reference 13

Resolution: verified exact; raw_fallback, observed 2026-08-05T22:53:37.394599Z

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.

Observation fdd16548-1af8-4725-99a9-0e0bceeed494 · outbound

This paper cites A Generalized Surface Loss for Reducing the Hausdorff Distance in Medical Imaging Segmentation.

XAG-Net: A Cross-Slice Attention and Skip Gating Network for 2.5D Femur MRI Segmentation A Generalized Surface Loss for Reducing the Hausdorff Distance in Medical Imaging Segmentation

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-08-05T22:53:37.129672Z

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.

Observation eda17854-7385-4123-ba5a-a2a5cf3dc3fd · outbound

This paper cites Semantic Segmentation of Thigh Muscle using 2.5D Deep Learning Network Trained with Limited Datasets.

XAG-Net: A Cross-Slice Attention and Skip Gating Network for 2.5D Femur MRI Segmentation Semantic Segmentation of Thigh Muscle using 2.5D Deep Learning Network Trained with Limited Datasets

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-08-05T22:53:36.826088Z

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.

Pith citing papers

No inbound Pith citation observations are available.