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Paper Citation Record · LEDGER

J-DDL: Surface Damage Detection and Localization System for Fighter Aircraft

As of 13 August 2026, this Paper Citation Record lists 50 of 50 outbound references and 0 inbound Pith citation observations for arXiv:2506.10505.

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

pith.paper-citation-record.v1
2506.10505 v1

Coverage vector

measured 50 of 50 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:28:53.309363Z

measured 50 of 50 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+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

50 of 50 outbound references displayed

  • verified exact2
  • verified fuzzy34
  • unresolved14
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation cc4e6739-59d3-4a86-ab46-99df4dff64b0 · outbound

This paper cites Aircraft visual inspection: A systematic literature review,.

J-DDL: Surface Damage Detection and Localization System for Fighter Aircraft Aircraft visual inspection: A systematic literature review,

Reference 1

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raw_fallback, observed 2026-08-07T04:29:01.559280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T04:28:47.066876Z digest=sha256:9768dc0cad32b09f779d486aafaa3c398caf18923095bbb62541ddcba8c6cb1f

Observation 6fddde72-b5ea-4188-bf24-224830c5e097 · outbound

This paper cites Preliminary design of an unmanned aircraft system for aircraft general visual inspection,.

J-DDL: Surface Damage Detection and Localization System for Fighter Aircraft Preliminary design of an unmanned aircraft system for aircraft general visual inspection,

Reference 2

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raw_fallback, observed 2026-08-07T04:29:01.298396Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T04:28:47.129877Z digest=sha256:8fd7ff128db0fcc0d90908fa89eb9b97292b1520a3562bf57f99cd6ee00216d0

Observation ebcd974f-d864-4390-a273-05f421fa7c41 · outbound

This paper cites Human factors in maintenance: a review,.

J-DDL: Surface Damage Detection and Localization System for Fighter Aircraft Human factors in maintenance: a review,

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T04:28:47.265231Z digest=sha256:bd9d91ef11d81a2bd50f03a4057403986e9e443fa52d4f3fb5f36c9a591f7ec2

Observation 3b0a59bf-7721-4571-8423-25427e41d712 · outbound

This paper cites Tensor voting guided mesh denoising,.

J-DDL: Surface Damage Detection and Localization System for Fighter Aircraft Tensor voting guided mesh denoising,

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T04:28:47.459331Z digest=sha256:f0c86b9e0fababc51c9e74342f157b5b80a5429f54628c2b35474d0c21707a76

Observation bcddf8b5-645f-46de-8e83-d81cffb97c5d · outbound

This paper cites Multiscale feature line extraction from raw point clouds based on local surface variation and anisotropic contraction,.

J-DDL: Surface Damage Detection and Localization System for Fighter Aircraft Multiscale feature line extraction from raw point clouds based on local surface variation and anisotropic contraction,

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T04:28:47.565131Z digest=sha256:75041144f645ddc1870ff9bd3b2ed142627b19d27fe7e52abef9aa51529bb9ef

Observation 470bed5e-eec5-4be8-adc2-0c31a0d16e5f · outbound

This paper cites City3d: Large-scale build- ing reconstruction from airborne lidar point clouds,.

J-DDL: Surface Damage Detection and Localization System for Fighter Aircraft City3d: Large-scale build- ing reconstruction from airborne lidar point clouds,

Reference 6

Resolution
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raw_fallback, observed 2026-08-07T04:29:00.433155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T04:28:47.707181Z digest=sha256:4b8ea063bd113ca1753c349a8a45f9296f120a9eb2c50b5bad15d204320aa87f

Observation 1bbe6290-ffe4-4643-8a02-cb332265d006 · outbound

This paper cites A uav-based aircraft surface defect inspection system via external constraints and deep learning,.

J-DDL: Surface Damage Detection and Localization System for Fighter Aircraft A uav-based aircraft surface defect inspection system via external constraints and deep learning,

Reference 7

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unresolved
no resolver link, observed 2026-08-07T04:28:47.813815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:28:47.813815Z digest=sha256:cb47867030e769494dd611d748288710d2b807164f59220e07eb42503d04cf12

Observation 70f4e89f-43df-4674-8d76-622dea359f9a · outbound

This paper cites Aircraft skin damage detection and assessment from uav images using glcm and cloud model,.

J-DDL: Surface Damage Detection and Localization System for Fighter Aircraft Aircraft skin damage detection and assessment from uav images using glcm and cloud model,

Reference 8

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raw_fallback, observed 2026-08-07T04:29:00.214516Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T04:28:47.915404Z digest=sha256:bf4d918ae9602465338c11976827bfc4028f6c8960b420397e36fb8034cb969b

Observation 14210456-f89f-4f92-8333-e8baedbe905e · outbound

This paper cites A semi-supervised aircraft fuselage defect detection network with dynamic attention and class-aware adaptive pseudo-label assignment,.

J-DDL: Surface Damage Detection and Localization System for Fighter Aircraft A semi-supervised aircraft fuselage defect detection network with dynamic attention and class-aware adaptive pseudo-label assignment,

Reference 9

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raw_fallback, observed 2026-08-07T04:28:59.943848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T04:28:48.047654Z digest=sha256:c61c6bf6de2279510b1909a865526eeb7b423d1bfe445a818ce400a43ee4fca9

Observation 47a11def-52ac-404b-adbf-6103680ab23e · outbound

This paper cites Ultralytics YOLO,.

J-DDL: Surface Damage Detection and Localization System for Fighter Aircraft Ultralytics YOLO,

Reference 10

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no resolver link, observed 2026-08-07T04:28:48.192141Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:28:48.192141Z digest=sha256:43240e685f230b7fc62503f148a4e93f2ca2cdaa15b323e1f3b73e0350c922d4

Observation 1b0f82fe-a2cb-493a-9571-8fe9bba1d728 · outbound

This paper cites Applications of nde reliability to systems,.

J-DDL: Surface Damage Detection and Localization System for Fighter Aircraft Applications of nde reliability to systems,

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T04:28:48.347472Z digest=sha256:b90e67814372e9f5a2eb378ebdc119a9ece2606b020f71eefac902dfa43779d0

Observation c69566db-19e1-4d42-8d64-5344912b8c2a · outbound

This paper cites Reliability assessment at airline in- spection facilities. volume iii: Results of an eddy current inspection reliability experiment,.

J-DDL: Surface Damage Detection and Localization System for Fighter Aircraft Reliability assessment at airline in- spection facilities. volume iii: Results of an eddy current inspection reliability experiment,

Reference 12

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raw_fallback, observed 2026-08-07T04:28:59.454725Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T04:28:48.452015Z digest=sha256:edc2804b8adce9c947eb844a8109c3d711501415bb955f70536094265cd7267b

Observation d9f8e5ec-45ef-4f0b-bb90-4e3d00769bf6 · outbound

This paper cites Murgatroyd, G.

J-DDL: Surface Damage Detection and Localization System for Fighter Aircraft Murgatroyd, G

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T04:28:48.564411Z digest=sha256:cfcffbfd751b9cb934a9448244094fceb1fdd7158a4736c9a575e4365caa3f39

Observation 844307d8-fec7-41d6-93a1-8e06949b80b9 · outbound

This paper cites A review of human error in aviation maintenance and inspection,.

J-DDL: Surface Damage Detection and Localization System for Fighter Aircraft A review of human error in aviation maintenance and inspection,

Reference 14

Resolution
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raw_fallback, observed 2026-08-07T04:28:59.005420Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T04:28:48.689496Z digest=sha256:647c2589e06855699bd60e41171d8f5f4693ed682032cd1a93a0b3622acb2f3c

Observation cf1f9dd2-f6d4-4be0-8db7-9f696937ce94 · outbound

This paper cites A mobile climbing robot for high precision manufacture and inspection of aerostructures,.

J-DDL: Surface Damage Detection and Localization System for Fighter Aircraft A mobile climbing robot for high precision manufacture and inspection of aerostructures,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:28:58.743070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T04:28:48.807813Z digest=sha256:4909be13b644547538536e0bb568c520b7d9ca2333b55032dd762a1126f2e13e

Observation 9cfbd615-5295-4507-9908-d38142f29194 · outbound

This paper cites Design of a climbing robot for inspecting aircraft wings and fuselage,.

J-DDL: Surface Damage Detection and Localization System for Fighter Aircraft Design of a climbing robot for inspecting aircraft wings and fuselage,

Reference 16

Resolution
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raw_fallback, observed 2026-08-07T04:28:58.459738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T04:28:48.974832Z digest=sha256:11c097179aa6fbc427a3e9b0ef2ad4bc9464eb47b88096a0bd95ca8f23feb11b

Observation 092763ea-496a-43f5-913a-1cf7c6641512 · outbound

This paper cites Collaborative robot for visually inspecting an aircraft,.

J-DDL: Surface Damage Detection and Localization System for Fighter Aircraft Collaborative robot for visually inspecting an aircraft,

Reference 17

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raw_fallback, observed 2026-08-07T04:28:58.207339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T04:28:49.116689Z digest=sha256:6bc0a5cb1afb4884adfffde1546d6b16c2cc94d42fba0fcdaa92068ab910ff0a

Observation 798b9dd9-d69d-4333-b2db-4e9bfb42ef9a · outbound

This paper cites A navigational framework combining visual servoing and spiral obstacle avoidance techniques,.

J-DDL: Surface Damage Detection and Localization System for Fighter Aircraft A navigational framework combining visual servoing and spiral obstacle avoidance techniques,

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T04:28:49.226118Z digest=sha256:3ded07b9e02b660810ca2ec2c2a645cbe8e3683ec12f59153dc82966a233bc86

Observation f2bd0810-597a-4da1-9c48-a7da380f03d7 · outbound

This paper cites Moving obsta- cles detection and camera pointing for mobile robot applications,.

J-DDL: Surface Damage Detection and Localization System for Fighter Aircraft Moving obsta- cles detection and camera pointing for mobile robot applications,

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T04:28:49.363462Z digest=sha256:c988bb1ce6b9bf4fb77187419d4a02f80d6b50d3ddc4afca64d9c8ea11193d83

Observation 03076fcb-fc01-4ca1-b0e4-4dbf164aa34c · outbound

This paper cites Rich feature hierarchies for accurate object detection and semantic segmentation,.

J-DDL: Surface Damage Detection and Localization System for Fighter Aircraft Rich feature hierarchies for accurate object detection and semantic segmentation,

Reference 20

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:28:49.480126Z digest=sha256:64b922c96b25160d478e04c743ab136631809ef027a3928217db934a9406009c

Observation 6b0ee51f-cdd2-4190-8ec8-426a4aac384f · outbound

This paper cites Fast r-cnn,.

J-DDL: Surface Damage Detection and Localization System for Fighter Aircraft Fast r-cnn,

Reference 21

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:28:49.573704Z digest=sha256:9afa75396f1a6ea40729dc8cdcc1d36be8cb7b6aa20f6acbe256df0b2b9f7b9f

Observation 7182bc57-6968-4c2e-b980-dcb3a7405b4c · outbound

This paper cites Faster r-cnn: Towards real-time object detection with region proposal networks,.

J-DDL: Surface Damage Detection and Localization System for Fighter Aircraft Faster r-cnn: Towards real-time object detection with region proposal networks,

Reference 22

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:28:49.703726Z digest=sha256:66358ba16b93338f067353567ff754a7c528176ba9f5d77231e326a559c0ce93

Observation 37e11baa-c5bb-4b19-a5dc-99d660b04252 · outbound

This paper cites You only look once: Unified, real-time object detection,.

J-DDL: Surface Damage Detection and Localization System for Fighter Aircraft You only look once: Unified, real-time object detection,

Reference 23

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no resolver link, observed 2026-08-07T04:28:49.837832Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:28:49.837832Z digest=sha256:cbdd002c8a72f45f3d47a8a80af136f00b8d86f84ffda7e6e92c21519cf106aa

Observation 6675dff8-fccc-4fe7-a665-0957fa668158 · outbound

This paper cites YOLOv4: Optimal Speed and Accuracy of Object Detection.

J-DDL: Surface Damage Detection and Localization System for Fighter Aircraft YOLOv4: Optimal Speed and Accuracy of Object Detection

Reference 24

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no resolver link, observed 2026-08-07T04:28:49.972815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:28:49.972815Z digest=sha256:e9d05c51d3b1980bdbbd2e319e3c7afdd8755a52dee39d3f64a4d78e1071a892

Observation 64bde508-1e4a-436b-acb3-23fa6014ede9 · outbound

This paper cites YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications.

J-DDL: Surface Damage Detection and Localization System for Fighter Aircraft YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications

Reference 25

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no resolver link, observed 2026-08-07T04:28:50.097635Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:28:50.097635Z digest=sha256:5ffa5ab7012e0412db9f286cc3f806dd9319f3df7828b8f48045796662edf7ab

Observation adba0c25-026c-4215-84a0-dabdc9379bce · outbound

This paper cites Yolov7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors,.

J-DDL: Surface Damage Detection and Localization System for Fighter Aircraft Yolov7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors,

Reference 26

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no resolver link, observed 2026-08-07T04:28:50.256517Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:28:50.256517Z digest=sha256:53bba47a3285197255cd1f85a82d440894c6d1dbb3872d6b484c4a7f6fc19677

Observation cf458439-5bc1-437a-9a07-1dec31d3438c · outbound

This paper cites MMDetection: Open MMLab Detection Toolbox and Benchmark.

J-DDL: Surface Damage Detection and Localization System for Fighter Aircraft MMDetection: Open MMLab Detection Toolbox and Benchmark

Reference 27

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unresolved
no resolver link, observed 2026-08-07T04:28:50.364072Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:28:50.364072Z digest=sha256:e3e89f0e0093ffeef2ad6b2e747eb19a37699cc271193a70bd17da4815162fd8

Observation b43f366d-f7f2-443b-b1e3-30e7b34edf08 · outbound

This paper cites Yolo- world: Real-time open-vocabulary object detection,.

J-DDL: Surface Damage Detection and Localization System for Fighter Aircraft Yolo- world: Real-time open-vocabulary object detection,

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:28:57.444444Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T04:28:50.495297Z digest=sha256:13f1af6ae1969a82b25ffa6da04623fca7828cb38ef258f7b58262e973c5ff3b

Observation 86d3ccf7-53eb-467e-8ea0-70ac08bc5ec1 · outbound

This paper cites Cf-yolo: Cross fusion yolo for object detection in adverse weather with a high-quality real snow dataset,.

J-DDL: Surface Damage Detection and Localization System for Fighter Aircraft Cf-yolo: Cross fusion yolo for object detection in adverse weather with a high-quality real snow dataset,

Reference 29

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raw_fallback, observed 2026-08-07T04:28:57.217754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T04:28:50.618974Z digest=sha256:dd80fadffae0e4352914e3e9a999992b69f66dc2f8286f3d2dd4a94196823c12

Observation 1ea369df-c364-44ae-89bc-074b559fc78f · outbound

This paper cites Id-yolo: Real-time salient object detection based on the driver’s fixa- tion region,.

J-DDL: Surface Damage Detection and Localization System for Fighter Aircraft Id-yolo: Real-time salient object detection based on the driver’s fixa- tion region,

Reference 30

Resolution
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raw_fallback, observed 2026-08-07T04:28:57.007922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T04:28:50.743221Z digest=sha256:541d9754959b33f7fd8dcb64d746ad2e53834286550ba70683d2c39bc0a469b8

Observation 1ad4a3c4-1a00-491f-a446-d517bd388f2b · outbound

This paper cites Yolov7-rdd: A lightweight efficient pavement distress detection model,.

J-DDL: Surface Damage Detection and Localization System for Fighter Aircraft Yolov7-rdd: A lightweight efficient pavement distress detection model,

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:28:56.764551Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T04:28:50.853102Z digest=sha256:f827f7a9d3dd81619b9931f813536f0a13b98e5970e2e7eb49a78029a52b82e5

Observation 37f3f922-327c-4a21-a312-74605c821567 · outbound

This paper cites Ssd: Single shot multibox detector,.

J-DDL: Surface Damage Detection and Localization System for Fighter Aircraft Ssd: Single shot multibox detector,

Reference 32

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unresolved
no resolver link, observed 2026-08-07T04:28:50.984254Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:28:50.984254Z digest=sha256:d2f57e4cfdc1b3e0cec1752f49ec363967848f8dc63efbd2f22b5c9e664a900f

Observation 50eca34b-0700-4883-91d8-20691631e5d5 · outbound

This paper cites End-to-end object detection with transformers,.

J-DDL: Surface Damage Detection and Localization System for Fighter Aircraft End-to-end object detection with transformers,

Reference 33

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unresolved
no resolver link, observed 2026-08-07T04:28:51.115849Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:28:51.115849Z digest=sha256:c014c5fa1be729cd896fb530c25f8226db2a57742bf05fe9d9f9e4356e5c1c6e

Observation ec181988-be47-4a22-a180-b5aecbe7a478 · outbound

This paper cites Contextual object detection with multimodal large language models,.

J-DDL: Surface Damage Detection and Localization System for Fighter Aircraft Contextual object detection with multimodal large language models,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:28:56.549443Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T04:28:51.275056Z digest=sha256:555f086b06294e1c7d1c34710d18d270a43ab9e0069648d4be9d937b6adfb4c5

Observation 606e33a4-0ad8-4275-b373-1aa7b0242f21 · outbound

This paper cites TaskCLIP: Extend Large Vision-Language Model for Task Oriented Object Detection.

J-DDL: Surface Damage Detection and Localization System for Fighter Aircraft TaskCLIP: Extend Large Vision-Language Model for Task Oriented Object Detection

Reference 35

Resolution
verified exact
local_arxiv, observed 2026-08-07T04:28:53.737635Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T04:28:51.417267Z digest=sha256:8cc49999ef5f02995c72072d76b1cde12e6785bcf610c4086cfad2c12862f6b7

Observation 24341878-f4e1-4ce3-ae21-2067898cc07b · outbound

This paper cites Deep learning-based crack damage detection using convolutional neural networks,.

J-DDL: Surface Damage Detection and Localization System for Fighter Aircraft Deep learning-based crack damage detection using convolutional neural networks,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:28:56.384874Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T04:28:51.569212Z digest=sha256:c775d061f9bc2124d3f50bc6b4efa6739ee001dae11170d360fd23ffe45dc4dd

Observation e9906a87-991d-4d9b-97a0-6a5b9b9fddd2 · outbound

This paper cites Structural damage detection with automatic feature-extraction through deep learning,.

J-DDL: Surface Damage Detection and Localization System for Fighter Aircraft Structural damage detection with automatic feature-extraction through deep learning,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:28:56.092740Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T04:28:51.709894Z digest=sha256:1733af11301ea744f6be8571d53e0aa9ed93c84f65512318f9163d370878a459

Observation f95f1efe-26e8-4806-b1f8-5bff9079f1a0 · outbound

This paper cites Structural building damage detection with deep learning: Assessment of a state-of-the-art cnn in operational conditions,.

J-DDL: Surface Damage Detection and Localization System for Fighter Aircraft Structural building damage detection with deep learning: Assessment of a state-of-the-art cnn in operational conditions,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:28:55.836038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T04:28:51.810677Z digest=sha256:86ebd6249aab85b9d80f0d90d5b5e589ad957f84c04ca448b17ca8f45415786b

Observation 173cd5e7-2226-4e31-82e5-9d876facad04 · outbound

This paper cites Skip connection yolo architecture for noise barrier defect detection using uav-based images in high-speed railway,.

J-DDL: Surface Damage Detection and Localization System for Fighter Aircraft Skip connection yolo architecture for noise barrier defect detection using uav-based images in high-speed railway,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:28:55.613955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T04:28:51.912299Z digest=sha256:0c08dd15dc40ca4fcceebdeafb2a0098f892ffd0737b9db99c83839c6a07e8fe

Observation c49e648f-3844-4928-8eb6-2df3a5941aef · outbound

This paper cites Run, don’t walk: chasing higher flops for faster neural networks,.

J-DDL: Surface Damage Detection and Localization System for Fighter Aircraft Run, don’t walk: chasing higher flops for faster neural networks,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:28:55.449309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T04:28:52.029086Z digest=sha256:7df8ae4e0d33fc29808cb1eafb321433cf2179142973c33434435252dbcc180c

Observation 9f728196-7159-40e2-9062-93931f25bcae · outbound

This paper cites Efficient multi-scale attention module with cross-spatial learning,.

J-DDL: Surface Damage Detection and Localization System for Fighter Aircraft Efficient multi-scale attention module with cross-spatial learning,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:28:55.319671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T04:28:52.136707Z digest=sha256:72f55fd71ffd3721caeda85deb8a8cdc248b3124d1de397c3459272a4757658f

Observation 8b41e0ad-6e37-43c7-9845-d28fb25d5a27 · outbound

This paper cites Inner-IoU: More Effective Intersection over Union Loss with Auxiliary Bounding Box.

J-DDL: Surface Damage Detection and Localization System for Fighter Aircraft Inner-IoU: More Effective Intersection over Union Loss with Auxiliary Bounding Box

Reference 42

Resolution
verified exact
local_arxiv, observed 2026-08-07T04:28:53.538459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T04:28:52.262086Z digest=sha256:1f82826879714ff83c0529c8339dd4c5f34eb3470f939c38db62f97fe5c33879

Observation b69321cd-ed7b-4a20-9f5f-aef4d56c7a59 · outbound

This paper cites Advanced auto labeling solution with added features,.

J-DDL: Surface Damage Detection and Localization System for Fighter Aircraft Advanced auto labeling solution with added features,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:28:55.184140Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T04:28:52.395549Z digest=sha256:ec8814dcbd02d9a563ff6761541b5b4e354781bb07eb09725a412d930c9dbb20

Observation 7030124a-bea9-47fe-b4e9-eec7e4d6a0b4 · outbound

This paper cites Focal Loss for Dense Object Detection.

J-DDL: Surface Damage Detection and Localization System for Fighter Aircraft Focal Loss for Dense Object Detection

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-07T04:28:52.537579Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:28:52.537579Z digest=sha256:c2eeae37ac6a0fb84273cfbc617bf14e1c6fabbef7d0557e211c862639b4cbb9

Observation 563131d0-04c4-4c9d-becb-0b7d52cd0c5c · outbound

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

J-DDL: Surface Damage Detection and Localization System for Fighter Aircraft Swin Transformer: Hierarchical Vision Transformer using Shifted Windows

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-07T04:28:52.700960Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:28:52.700960Z digest=sha256:4b035f6cc2718c8eb4fdb8de0ba1f8dc1a0eb69c6ae83db123bd84378ce4601a

Observation 0c90b7e5-7c1c-4eb6-82f4-5764f6bd99dc · outbound

This paper cites Lightweight rail surface defect detection algorithm based on an im- proved yolov8,.

J-DDL: Surface Damage Detection and Localization System for Fighter Aircraft Lightweight rail surface defect detection algorithm based on an im- proved yolov8,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:28:54.907303Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T04:28:52.797148Z digest=sha256:a5842d264d57b0cad8a5dbcb8040054d44f6e2098f019a2001b1c0c6a391a4c1

Observation f463a348-4d0f-4c96-acf9-3077f623ad9f · outbound

This paper cites Lf-yolo: A lighter and faster yolo for weld defect detection of x-ray image,.

J-DDL: Surface Damage Detection and Localization System for Fighter Aircraft Lf-yolo: A lighter and faster yolo for weld defect detection of x-ray image,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:28:54.634330Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T04:28:52.923689Z digest=sha256:722a693de610ef3fc6ef8f49cf37be03646cb4a8fc007cc42c91927dcd2613e8

Observation b86a99bf-a739-4df4-a996-8cd2b698bf36 · outbound

This paper cites Mcnet: Multiple context information segmentation network of no-service rail surface de- fects,.

J-DDL: Surface Damage Detection and Localization System for Fighter Aircraft Mcnet: Multiple context information segmentation network of no-service rail surface de- fects,

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:28:54.424427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T04:28:53.072889Z digest=sha256:99ab88c1af3160312df7ec90b117453576f7822ada59257906fd778a17444ad3

Observation bea42910-6acc-40fc-b5c1-1a3af7abfac4 · outbound

This paper cites Dynamically weighted balanced loss: class imbalanced learning and confidence calibration of deep neural networks,.

J-DDL: Surface Damage Detection and Localization System for Fighter Aircraft Dynamically weighted balanced loss: class imbalanced learning and confidence calibration of deep neural networks,

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:28:54.164948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T04:28:53.213660Z digest=sha256:95c30980097de7571d4f6d2498368497f737c6b2c09279058823ca6d956beec1

Observation c2900d89-3e5c-416b-8953-fb820eae5484 · outbound

This paper cites His research focuses on Digital Modeling and Intelligent Equipment Design.

J-DDL: Surface Damage Detection and Localization System for Fighter Aircraft His research focuses on Digital Modeling and Intelligent Equipment Design

Reference 2023

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:28:53.951957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T04:28:53.309363Z digest=sha256:ef91f655465fca8a884a178a0846a464cb7ba8a9d1002c7c1fb6a2bd70d78b7a

Pith citing papers

No inbound Pith citation observations are available.