Paper Citation Record · LEDGER

Fab-ME: A Vision State-Space and Attention-Enhanced Framework for Fabric Defect Detection

As of 14 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 0 inbound Pith citation observations for arXiv:2412.03200.

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

pith.paper-citation-record.v1
2412.03200 v2

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T22:44:40.074751Z

measured 35 of 35 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+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

35 of 35 outbound references displayed

verified exact0
verified fuzzy28
unresolved7
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0a4d2d5e-e137-4af2-a70d-565f389a6533 · outbound

This paper cites Deep learning-based fabric defect detection: A review,.

Fab-ME: A Vision State-Space and Attention-Enhanced Framework for Fabric Defect Detection Deep learning-based fabric defect detection: A review,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:44:42.526277Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 96526ac3-bc04-4edc-a56a-36ea67f0faa7 · outbound

This paper cites Enhancing landslide segmentation with guide attention mechanism and fast fourier transformer,.

Fab-ME: A Vision State-Space and Attention-Enhanced Framework for Fabric Defect Detection Enhancing landslide segmentation with guide attention mechanism and fast fourier transformer,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:44:42.475720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation fbbe2756-5db8-488b-9e73-7a9baeb2f677 · outbound

This paper cites Fourier-fpn: Fourier improves multi-scale feature learning for oriented tiny object detection,.

Fab-ME: A Vision State-Space and Attention-Enhanced Framework for Fabric Defect Detection Fourier-fpn: Fourier improves multi-scale feature learning for oriented tiny object detection,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:44:42.450345Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 59063fae-7af2-404a-9084-5b9275a91dd0 · outbound

This paper cites Fabric defect detection based on transfer learning and improved Faster R-CNN,.

Fab-ME: A Vision State-Space and Attention-Enhanced Framework for Fabric Defect Detection Fabric defect detection based on transfer learning and improved Faster R-CNN,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:44:42.421845Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation d50f10c7-d069-4076-ae21-b748d5a780b8 · outbound

This paper cites Enhancing aerial object detection with selective frequency interaction network,.

Fab-ME: A Vision State-Space and Attention-Enhanced Framework for Fabric Defect Detection Enhancing aerial object detection with selective frequency interaction network,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:44:42.387229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 6e56bfbb-ef14-440a-997d-70ec678df1bd · outbound

This paper cites LR-FPN: Enhancing Remote Sensing Object Detection with Location Refined Feature Pyramid Network.

Fab-ME: A Vision State-Space and Attention-Enhanced Framework for Fabric Defect Detection LR-FPN: Enhancing Remote Sensing Object Detection with Location Refined Feature Pyramid Network

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-11T22:44:39.042190Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 78eacf9f-b739-48bb-b6e0-90f7f6831789 · outbound

This paper cites FP-Deeplab: A segmentation model for fabric defect detection,.

Fab-ME: A Vision State-Space and Attention-Enhanced Framework for Fabric Defect Detection FP-Deeplab: A segmentation model for fabric defect detection,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:44:42.350516Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation a97d1c3e-1339-40bc-918c-a23da1a7747c · outbound

This paper cites Advancing pose-guided image synthesis with progressive conditional diffusion models,.

Fab-ME: A Vision State-Space and Attention-Enhanced Framework for Fabric Defect Detection Advancing pose-guided image synthesis with progressive conditional diffusion models,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:44:42.316680Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 06753170-822d-424f-9951-695f35be16d2 · outbound

This paper cites Boosting Consistency in Story Visualization with Rich-Contextual Conditional Diffusion Models.

Fab-ME: A Vision State-Space and Attention-Enhanced Framework for Fabric Defect Detection Boosting Consistency in Story Visualization with Rich-Contextual Conditional Diffusion Models

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-11T22:44:39.184748Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c1edc48c-46c9-4299-8592-f554a1cedd25 · outbound

This paper cites IMAGDressing-v1: Customizable Virtual Dressing.

Fab-ME: A Vision State-Space and Attention-Enhanced Framework for Fabric Defect Detection IMAGDressing-v1: Customizable Virtual Dressing

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-11T22:44:39.234746Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d432eb9b-803f-4901-9a21-6899da452e6b · outbound

This paper cites Imagpose: A unified conditional framework for pose-guided person generation,.

Fab-ME: A Vision State-Space and Attention-Enhanced Framework for Fabric Defect Detection Imagpose: A unified conditional framework for pose-guided person generation,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:44:42.291857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 2fb852ef-bebe-4537-9f4d-5a26173346f4 · outbound

This paper cites A mixed-attention-based multi-scale autoencoder algorithm for fabric de- fect detection,.

Fab-ME: A Vision State-Space and Attention-Enhanced Framework for Fabric Defect Detection A mixed-attention-based multi-scale autoencoder algorithm for fabric de- fect detection,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:44:42.184750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation ffb814a4-aae5-4e90-8619-37895350dcc3 · outbound

This paper cites Knowledge distillation for unsupervised defect detection of yarn-dyed fabric using the system DAERD: Dual attention embedded reconstruc- tion distillation,.

Fab-ME: A Vision State-Space and Attention-Enhanced Framework for Fabric Defect Detection Knowledge distillation for unsupervised defect detection of yarn-dyed fabric using the system DAERD: Dual attention embedded reconstruc- tion distillation,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:44:42.133972Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 85a96a06-f1ac-42d3-b75c-4197caf87d88 · outbound

This paper cites Automated fabric defect detection using multi-scale fusion MemAE,.

Fab-ME: A Vision State-Space and Attention-Enhanced Framework for Fabric Defect Detection Automated fabric defect detection using multi-scale fusion MemAE,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:44:42.113399Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation a43b6bcb-09ce-45b5-8df3-dc289869e622 · outbound

This paper cites Faster R-CNN: Towards real-time object detection with region proposal net- works,.

Fab-ME: A Vision State-Space and Attention-Enhanced Framework for Fabric Defect Detection Faster R-CNN: Towards real-time object detection with region proposal net- works,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:44:42.019679Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation bcdd96c6-0d5b-461b-a9df-3a540f59edb4 · outbound

This paper cites ultra- lytics/yolov5. github repository,.

Fab-ME: A Vision State-Space and Attention-Enhanced Framework for Fabric Defect Detection ultra- lytics/yolov5. github repository,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:44:41.932913Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 3d3f39d9-823e-488a-8677-68becf8efe60 · outbound

This paper cites Research on Fabric Defect Detection Algorithm Based on Improved YOLOv8n Algorithm,.

Fab-ME: A Vision State-Space and Attention-Enhanced Framework for Fabric Defect Detection Research on Fabric Defect Detection Algorithm Based on Improved YOLOv8n Algorithm,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:44:41.824749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 0ea44fb8-f4d8-4770-94b8-4a15e89faa08 · outbound

This paper cites Fabric surface defect detection using SE-ssdnet,.

Fab-ME: A Vision State-Space and Attention-Enhanced Framework for Fabric Defect Detection Fabric surface defect detection using SE-ssdnet,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:44:41.604747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation ef3597b6-2ec3-40ca-9698-4d2b950f94b4 · outbound

This paper cites A novel multi-frequency coordinated module for sar ship detection,.

Fab-ME: A Vision State-Space and Attention-Enhanced Framework for Fabric Defect Detection A novel multi-frequency coordinated module for sar ship detection,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:44:41.414746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 08a13117-7acb-4c48-ba53-2293d3fdeaa4 · outbound

This paper cites A novel cross frequency-domain interaction learning for aerial oriented object detection,.

Fab-ME: A Vision State-Space and Attention-Enhanced Framework for Fabric Defect Detection A novel cross frequency-domain interaction learning for aerial oriented object detection,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:44:41.244753Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 6d7f653f-ee74-4552-97ef-54bd2e95515b · outbound

This paper cites PRC-light YOLO: An efficient lightweight model for fabric defect detection,.

Fab-ME: A Vision State-Space and Attention-Enhanced Framework for Fabric Defect Detection PRC-light YOLO: An efficient lightweight model for fabric defect detection,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:44:41.084824Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 4b4ed8fd-9121-4fd0-a2c7-aebebffc122a · outbound

This paper cites Feature pyramid full granularity attention network for object detection in remote sensing imagery,.

Fab-ME: A Vision State-Space and Attention-Enhanced Framework for Fabric Defect Detection Feature pyramid full granularity attention network for object detection in remote sensing imagery,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:44:40.934851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation a125d322-dba6-40e6-90c9-8b5bac14c1cf · outbound

This paper cites Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model.

Fab-ME: A Vision State-Space and Attention-Enhanced Framework for Fabric Defect Detection Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-11T22:44:39.854750Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 22620cb1-8ed5-471d-9110-12afe15a998d · outbound

This paper cites MambaAD: Exploring State Space Models for Multi-class Unsupervised Anomaly Detection.

Fab-ME: A Vision State-Space and Attention-Enhanced Framework for Fabric Defect Detection MambaAD: Exploring State Space Models for Multi-class Unsupervised Anomaly Detection

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-11T22:44:39.887244Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fd3dd4e0-5309-4154-a9d5-19cc8fbc1ad9 · outbound

This paper cites VMamba: Visual State Space Model.

Fab-ME: A Vision State-Space and Attention-Enhanced Framework for Fabric Defect Detection VMamba: Visual State Space Model

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-11T22:44:39.895183Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eddd8cb3-7705-4a04-ae46-42ad9a2f430d · outbound

This paper cites A review on yolov8 and its advancements,.

Fab-ME: A Vision State-Space and Attention-Enhanced Framework for Fabric Defect Detection A review on yolov8 and its advancements,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:44:40.778746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 7a3f8633-33b7-4bc2-90f8-f04234135b41 · outbound

This paper cites Tph-yolov5: Improved yolov5 based on transformer prediction head for object detection on drone-captured scenarios,.

Fab-ME: A Vision State-Space and Attention-Enhanced Framework for Fabric Defect Detection Tph-yolov5: Improved yolov5 based on transformer prediction head for object detection on drone-captured scenarios,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:44:40.662634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 71d73ffa-9f27-4264-9c23-15c746176a49 · outbound

This paper cites Eca-net: Efficient channel attention for deep convolutional neural networks,.

Fab-ME: A Vision State-Space and Attention-Enhanced Framework for Fabric Defect Detection Eca-net: Efficient channel attention for deep convolutional neural networks,

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-11T22:44:39.919465Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 34dfdc39-7e5a-4345-8f58-489b7c8a970d · outbound

This paper cites Attention-Based Multiscale Feature Fusion for Efficient Surface Defect Detection,.

Fab-ME: A Vision State-Space and Attention-Enhanced Framework for Fabric Defect Detection Attention-Based Multiscale Feature Fusion for Efficient Surface Defect Detection,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:44:40.560895Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 0dee6653-61ed-4552-9466-fb90b9a85337 · outbound

This paper cites Fabric defect detection via a spatial cloze strategy,.

Fab-ME: A Vision State-Space and Attention-Enhanced Framework for Fabric Defect Detection Fabric defect detection via a spatial cloze strategy,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:44:40.540330Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 6fc5771c-7fff-4c0a-b183-65ba834eafb1 · outbound

This paper cites Tood: Task-aligned one-stage object detection,.

Fab-ME: A Vision State-Space and Attention-Enhanced Framework for Fabric Defect Detection Tood: Task-aligned one-stage object detection,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:44:40.517473Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 96cedad6-8788-43ee-9467-1193f5721349 · outbound

This paper cites An anchor- free defect detector for complex background based on pixelwise adaptive multiscale feature fusion,.

Fab-ME: A Vision State-Space and Attention-Enhanced Framework for Fabric Defect Detection An anchor- free defect detector for complex background based on pixelwise adaptive multiscale feature fusion,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:44:40.491086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 72c550c8-d8f4-43f5-8345-9d8953aa4619 · outbound

This paper cites Fabric defect detection based on anchor-free network,.

Fab-ME: A Vision State-Space and Attention-Enhanced Framework for Fabric Defect Detection Fabric defect detection based on anchor-free network,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:44:40.473459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 963e573d-dc9f-40d0-a411-ba1090a31715 · outbound

This paper cites Adaptively Fused Attention Module for the Fabric Defect Detection,.

Fab-ME: A Vision State-Space and Attention-Enhanced Framework for Fabric Defect Detection Adaptively Fused Attention Module for the Fabric Defect Detection,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:44:40.450977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 84ec6bd8-4bae-44fc-b7ec-9e9b6e652a9f · outbound

This paper cites Research on Tiny Target Detection Technology of Fabric Defects Based on Improved YOLO,.

Fab-ME: A Vision State-Space and Attention-Enhanced Framework for Fabric Defect Detection Research on Tiny Target Detection Technology of Fabric Defects Based on Improved YOLO,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:44:40.417849Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Pith citing papers

No inbound Pith citation observations are available.