Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-10T18:50:08.316775Z
Paper Citation Record · LEDGER
As of 12 August 2026, this Paper Citation Record lists 100 of 108 outbound references and 0 inbound Pith citation observations for arXiv:2501.10984.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-10T18:50:08.316775Z
One-hop event checks from named stored sources.
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Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
100 of 108 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation fdc4c343-1455-4417-8106-6b86bf39e902 · outbound
Reference 5
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Observation 1b79885a-728a-4544-bc7e-1bf1b1402bcd · outbound
Self-CephaloNet: A Two-stage Novel Framework using Operational Neural Network for Cephalometric Analysis -H., et al., Automated cephalometric landmark detection with confidence regions using Bayesian convolutional neural networks
Reference 9
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Self-CephaloNet: A Two-stage Novel Framework using Operational Neural Network for Cephalometric Analysis Cephalometric landmark detection by attentive feature pyramid fusion and regression-voting
Reference 11
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Self-CephaloNet: A Two-stage Novel Framework using Operational Neural Network for Cephalometric Analysis -W., et al., Evaluation an d comparison of anatomical landmark detection methods for cephalometric x-ray images: a grand challenge
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Self-CephaloNet: A Two-stage Novel Framework using Operational Neural Network for Cephalometric Analysis Unresolved cited work
Reference 15
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Observation c27132c8-fbfe-48af-ae1c-af4d3c51622e · outbound
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Observation baef0a7e-26cd-48f9-aa0d-d32cd1e0f431 · outbound
Self-CephaloNet: A Two-stage Novel Framework using Operational Neural Network for Cephalometric Analysis Deep high-resolution representation learning for human pose estimation
Reference 17
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Self-CephaloNet: A Two-stage Novel Framework using Operational Neural Network for Cephalometric Analysis Fcos: Fully convolutional one -stage object detection
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Self-CephaloNet: A Two-stage Novel Framework using Operational Neural Network for Cephalometric Analysis Neural Networks,
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Reference 23
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Self-CephaloNet: A Two-stage Novel Framework using Operational Neural Network for Cephalometric Analysis Chen, and K.-S
Reference 26
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Reference 29
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Observation 6d6a709f-c7e0-426e-adb3-b5e9931d6023 · outbound
Self-CephaloNet: A Two-stage Novel Framework using Operational Neural Network for Cephalometric Analysis Applied Sciences, 2020
Reference 30
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Observation 92e8dba4-6dd8-48e7-bde3-49b3acaab55e · outbound
Self-CephaloNet: A Two-stage Novel Framework using Operational Neural Network for Cephalometric Analysis Convolutional neural network based desktop applications to classify dermatological diseases
Reference 31
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Observation 3a3aaab9-998d-44ee-bd5d-540e7831e399 · outbound
Self-CephaloNet: A Two-stage Novel Framework using Operational Neural Network for Cephalometric Analysis -H., et al., Comparing intra-observer variation and external variations of a fully automated cephalometric analysis with a cascade convolutional neural net
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Observation 94729038-8dae-4c6a-9207-d9ce30d9e780 · outbound
Self-CephaloNet: A Two-stage Novel Framework using Operational Neural Network for Cephalometric Analysis CephaNet: An improved faster R-CNN for cephalometric landmark detection
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Observation 1097b6e2-cdf4-42cb-bc19-c9e3f00b8998 · outbound
Self-CephaloNet: A Two-stage Novel Framework using Operational Neural Network for Cephalometric Analysis Orthodontics & Craniofacial Research, 2021
Reference 37
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Observation 599cd1fa-8212-46df-ad0e-398eb9061919 · outbound
Self-CephaloNet: A Two-stage Novel Framework using Operational Neural Network for Cephalometric Analysis American Journal of Orthodontics and Dentofacial Orthopedics, 2023
Reference 38
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Observation e38de156-2f49-4cf0-ac27-6a0111c3672a · outbound
Self-CephaloNet: A Two-stage Novel Framework using Operational Neural Network for Cephalometric Analysis IEEE Access, 2019
Reference 39
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Observation ffdbddc7-dc5c-4139-bc70-9e0c61499729 · outbound
Self-CephaloNet: A Two-stage Novel Framework using Operational Neural Network for Cephalometric Analysis Applied Sciences, 2022
Reference 40
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Self-CephaloNet: A Two-stage Novel Framework using Operational Neural Network for Cephalometric Analysis Neurocomputing, 2021
Reference 41
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Reference 42
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Self-CephaloNet: A Two-stage Novel Framework using Operational Neural Network for Cephalometric Analysis Physics in Medicine & Biology, 2023
Reference 44
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Observation 896f2211-e2fc-4ab4-9e3b-8b38ba68f203 · outbound
Self-CephaloNet: A Two-stage Novel Framework using Operational Neural Network for Cephalometric Analysis Journal of Maxillofacial and Oral Surgery, 2023
Reference 45
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Observation 0ed4f137-e689-46da-b471-a6eb43fd9154 · outbound
Self-CephaloNet: A Two-stage Novel Framework using Operational Neural Network for Cephalometric Analysis Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, 2020
Reference 46
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Self-CephaloNet: A Two-stage Novel Framework using Operational Neural Network for Cephalometric Analysis Chung, and Y
Reference 48
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Observation 80d6d72d-2f0b-4f27-86a5-4987d52a3e53 · outbound
Self-CephaloNet: A Two-stage Novel Framework using Operational Neural Network for Cephalometric Analysis SN Computer Science, 2022
Reference 49
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Observation a24dbf38-4eaf-4997-bf86-d1308a5c8152 · outbound
Self-CephaloNet: A Two-stage Novel Framework using Operational Neural Network for Cephalometric Analysis IEEE Access, 2020
Reference 50
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Observation ae6f7ff1-fd37-4808-ba51-75c104bb1d71 · outbound
Self-CephaloNet: A Two-stage Novel Framework using Operational Neural Network for Cephalometric Analysis IEEE Access, 2023
Reference 51
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Observation 85ee1c9e-cea5-4a69-a2de-6fe6343a7850 · outbound
Self-CephaloNet: A Two-stage Novel Framework using Operational Neural Network for Cephalometric Analysis Computers in biology and medicine, 2021
Reference 52
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Observation b6970393-b1c4-46a4-9f27-9ae8967b030a · outbound
Self-CephaloNet: A Two-stage Novel Framework using Operational Neural Network for Cephalometric Analysis Applied Sciences, 2023
Reference 55
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Observation 8a8ee976-f219-4e76-90fa-5cb6036a962b · outbound
Self-CephaloNet: A Two-stage Novel Framework using Operational Neural Network for Cephalometric Analysis Neural Computing and Applications, 2020
Reference 57
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Observation 2a2005e4-ec8b-4ef9-b814-c8e816feeb3a · outbound
Self-CephaloNet: A Two-stage Novel Framework using Operational Neural Network for Cephalometric Analysis International Journal of Imaging Systems and Technology, 2023
Reference 59
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Observation a1bf71b6-b927-4051-8e5b-e85e0eb993f5 · outbound
Self-CephaloNet: A Two-stage Novel Framework using Operational Neural Network for Cephalometric Analysis Image augmentation for deep learning based lesion classification from skin images
Reference 60
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Observation 0f19f6af-3a68-44cc-8d9e-455bf5e6f913 · outbound
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Reference 64
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Reference 68
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Reference 71
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Observation 34243b64-bec9-4fee-946b-6d8a4f110cd8 · outbound
Self-CephaloNet: A Two-stage Novel Framework using Operational Neural Network for Cephalometric Analysis Unresolved cited work
Reference 72
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Observation 5f748881-bb61-499c-bfdf-3d4ff717d642 · outbound
Self-CephaloNet: A Two-stage Novel Framework using Operational Neural Network for Cephalometric Analysis Dentomaxillofacial Radiology, 2004
Reference 73
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Self-CephaloNet: A Two-stage Novel Framework using Operational Neural Network for Cephalometric Analysis Dermaut, and R
Reference 74
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Reference 75
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Reference 76
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Self-CephaloNet: A Two-stage Novel Framework using Operational Neural Network for Cephalometric Analysis Ibragimov, and L
Reference 77
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Self-CephaloNet: A Two-stage Novel Framework using Operational Neural Network for Cephalometric Analysis Journal of healthcare engineering, 2018
Reference 78
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Observation 22eab4c5-4d2d-48fe-bb1a-02b9ed8272b1 · outbound
Self-CephaloNet: A Two-stage Novel Framework using Operational Neural Network for Cephalometric Analysis -H., et al., Automated ce phalometric landmark detection with confidence regions using Bayesian convolutional neural networks
Reference 79
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Reference 80
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Observation a6e29471-cfb4-44b0-bcad-39540a60b2d3 · outbound
Self-CephaloNet: A Two-stage Novel Framework using Operational Neural Network for Cephalometric Analysis Cephalometric landmark detection by attentive feature pyramid fusion and regression -voting
Reference 81
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Observation ee204dfc-fe7b-49b3-84b4-05de18633fb8 · outbound
Self-CephaloNet: A Two-stage Novel Framework using Operational Neural Network for Cephalometric Analysis Journal of Craniofacial Surgery, 2019
Reference 82
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Observation 71fee0a4-0bc8-4a3a-a38c-4e43d088e693 · outbound
Self-CephaloNet: A Two-stage Novel Framework using Operational Neural Network for Cephalometric Analysis IEEE transactions on medical imaging, 2015
Reference 83
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Observation eef8e2f5-cb2a-46cc-9680-146b6fd16050 · outbound
Self-CephaloNet: A Two-stage Novel Framework using Operational Neural Network for Cephalometric Analysis Medical image analysis, 2016
Reference 84
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Observation b3d60aa7-b4c4-4907-bac8-f60eaaedd4c8 · outbound
Self-CephaloNet: A Two-stage Novel Framework using Operational Neural Network for Cephalometric Analysis Oh, and D.-W
Reference 85
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Self-CephaloNet: A Two-stage Novel Framework using Operational Neural Network for Cephalometric Analysis Medical Image Analysis,
Reference 86
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Observation 8fd9d48b-221d-410a-ae9a-e3b730dbdbe8 · outbound
Self-CephaloNet: A Two-stage Novel Framework using Operational Neural Network for Cephalometric Analysis Deep high-resolution representation learning for human pose estimation
Reference 87
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Observation 10971e73-4fa0-42a1-a9b4-6a5518ab287d · outbound
Self-CephaloNet: A Two-stage Novel Framework using Operational Neural Network for Cephalometric Analysis IEEE transactions on pattern analysis and machine intelligence, 2020
Reference 88
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Self-CephaloNet: A Two-stage Novel Framework using Operational Neural Network for Cephalometric Analysis Fcos: Fully convolutional one -stage object detection
Reference 89
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Observation b5aedd88-5386-4827-9f9b-e2bbedb8aa18 · outbound
Self-CephaloNet: A Two-stage Novel Framework using Operational Neural Network for Cephalometric Analysis ScaleNAS: One-Shot Learning of Scale-Aware Representations for Visual Recognition
Reference 90
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Self-CephaloNet: A Two-stage Novel Framework using Operational Neural Network for Cephalometric Analysis Neural Networks, 2021
Reference 91
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Reference 92
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Reference 93
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Self-CephaloNet: A Two-stage Novel Framework using Operational Neural Network for Cephalometric Analysis Sinclair, and J
Reference 94
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Self-CephaloNet: A Two-stage Novel Framework using Operational Neural Network for Cephalometric Analysis Sid -Ahmed, and M
Reference 95
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Reference 96
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Reference 97
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Self-CephaloNet: A Two-stage Novel Framework using Operational Neural Network for Cephalometric Analysis Dentomaxillofacial Radiology, 2013
Reference 98
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Reference 99
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Reference 100
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Self-CephaloNet: A Two-stage Novel Framework using Operational Neural Network for Cephalometric Analysis Convolutional neural network based desktop applications to classify dermatological diseases
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Self-CephaloNet: A Two-stage Novel Framework using Operational Neural Network for Cephalometric Analysis Idri, and E
Reference 102
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Reference 103
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Self-CephaloNet: A Two-stage Novel Framework using Operational Neural Network for Cephalometric Analysis CephaNet: An improved faster R -CNN for cephalometric landmark detection
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Self-CephaloNet: A Two-stage Novel Framework using Operational Neural Network for Cephalometric Analysis Ebner, and D
Reference 105
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Reference 106
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Reference 107
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Observation cea4bef8-8547-455c-a4cf-5458d240673d · outbound
Self-CephaloNet: A Two-stage Novel Framework using Operational Neural Network for Cephalometric Analysis American Journal of Orthodontics and Dentofacial Orthopedics, 2023
Reference 108
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Reference 109
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Self-CephaloNet: A Two-stage Novel Framework using Operational Neural Network for Cephalometric Analysis Applied Sciences,
Reference 110
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Reference 111
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