Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-15T01:18:14.217706Z
Paper Citation Record · LEDGER
From Pixels to Semantics: A Multi-Stage AI Framework for Structural Damage Detection in Satellite Imagery
As of 10 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 0 inbound Pith citation observations for arXiv:2603.22768.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00
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
Reference resolution
37 of 37 outbound references displayed
- verified exact8
- verified fuzzy26
- unresolved3
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 8bf5411f-6e66-4f01-b63a-49fd56867e80 · outbound
This paper cites Computer vision framework for crack detec- tion of civil infrastructure—a review.Engineering Applica- tions of Artificial Intelligence, 117:105478.
From Pixels to Semantics: A Multi-Stage AI Framework for Structural Damage Detection in Satellite Imagery Computer vision framework for crack detec- tion of civil infrastructure—a review.Engineering Applica- tions of Artificial Intelligence, 117:105478
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T01:18:26.972253Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation f2cdc29a-ce3c-47f1-a34a-fbb04195fb8b · outbound
This paper cites Integrating machine learn- ing and remote sensing in disaster management: A decadal review of post-disaster building damage assessment.Build- ings, 14(8):2344.
From Pixels to Semantics: A Multi-Stage AI Framework for Structural Damage Detection in Satellite Imagery Integrating machine learn- ing and remote sensing in disaster management: A decadal review of post-disaster building damage assessment.Build- ings, 14(8):2344
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T01:18:26.955902Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation f25563e6-7cdc-4aaf-bc7b-3662aef42b2d · outbound
This paper cites Qwen3-VL Technical Report.
From Pixels to Semantics: A Multi-Stage AI Framework for Structural Damage Detection in Satellite Imagery Qwen3-VL Technical Report
Reference 3
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T01:18:26.412888Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 60e06c1a-ba5c-46d7-a682-ae404724b77d · outbound
This paper cites Mask-to-height: A yolov11-based archi- tecture for joint building instance segmentation and height classification from satellite imagery.
From Pixels to Semantics: A Multi-Stage AI Framework for Structural Damage Detection in Satellite Imagery Mask-to-height: A yolov11-based archi- tecture for joint building instance segmentation and height classification from satellite imagery
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T01:18:26.939232Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 829a4697-8242-4f01-83b0-7f31b9ff1b0e · outbound
This paper cites Toward faster and accu- rate post-disaster damage assessment: Development of end- to-end building damage detection framework with super- resolution architecture.
From Pixels to Semantics: A Multi-Stage AI Framework for Structural Damage Detection in Satellite Imagery Toward faster and accu- rate post-disaster damage assessment: Development of end- to-end building damage detection framework with super- resolution architecture
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T01:18:26.995484Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 066cc12d-1bb9-4ea4-9430-e3509c108c1a · outbound
This paper cites xBD: A Dataset for Assessing Building Damage from Satellite Imagery.
From Pixels to Semantics: A Multi-Stage AI Framework for Structural Damage Detection in Satellite Imagery xBD: A Dataset for Assessing Building Damage from Satellite Imagery
Reference 6
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T01:18:26.405018Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation c87c2353-c01d-4af2-9c29-7e79e22fb8a9 · outbound
This paper cites xbd: A dataset for assessing building dam- age from satellite imagery.
From Pixels to Semantics: A Multi-Stage AI Framework for Structural Damage Detection in Satellite Imagery xbd: A dataset for assessing building dam- age from satellite imagery
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T01:18:26.967490Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation ce1495e6-7c05-40a7-b249-4052bb20bcec · outbound
This paper cites Clipscore: A reference-free evaluation met- ric for image captioning.
From Pixels to Semantics: A Multi-Stage AI Framework for Structural Damage Detection in Satellite Imagery Clipscore: A reference-free evaluation met- ric for image captioning
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T01:18:26.946548Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 6d5b308b-093f-43dd-a2aa-b27da725d401 · outbound
This paper cites Super-resolution images methodology applied to uav datasets to road pavement mon- itoring.Drones, 6(7):171.
From Pixels to Semantics: A Multi-Stage AI Framework for Structural Damage Detection in Satellite Imagery Super-resolution images methodology applied to uav datasets to road pavement mon- itoring.Drones, 6(7):171
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T01:18:26.997768Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 2fb89321-348d-48ee-978b-0619af051a43 · outbound
This paper cites Building damage detection via superpixel-based belief fu- sion of space-borne sar and optical images.IEEE Sensors Journal, 20(4):2008–2022.
From Pixels to Semantics: A Multi-Stage AI Framework for Structural Damage Detection in Satellite Imagery Building damage detection via superpixel-based belief fu- sion of space-borne sar and optical images.IEEE Sensors Journal, 20(4):2008–2022
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T01:18:26.990890Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation c22508da-c83d-4311-bbd0-c9172e2fbe0c · outbound
This paper cites Zeshot-vqa: Zero-shot visual question answering framework with an- swer mapping for natural disaster damage assessment.
From Pixels to Semantics: A Multi-Stage AI Framework for Structural Damage Detection in Satellite Imagery Zeshot-vqa: Zero-shot visual question answering framework with an- swer mapping for natural disaster damage assessment
Reference 11
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T01:18:26.384931Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 19c7da3f-24e9-44c0-8e77-f6d533225799 · outbound
This paper cites an unresolved cited work.
From Pixels to Semantics: A Multi-Stage AI Framework for Structural Damage Detection in Satellite Imagery Unresolved cited work
Reference 12
- Resolution
- unresolved
- raw_fallback, observed 2026-05-15T01:18:26.943992Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation b77241a6-4ae1-44ed-ab04-67d2ae6355e7 · outbound
This paper cites an unresolved cited work.
From Pixels to Semantics: A Multi-Stage AI Framework for Structural Damage Detection in Satellite Imagery Unresolved cited work
Reference 13
- Resolution
- unresolved
- raw_fallback, observed 2026-05-15T01:18:26.988603Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 48e41eb9-c96b-47d2-9a12-0d498098d7ee · outbound
This paper cites Build- ing damage detection from post-event aerial imagery using single shot multibox detector.Applied Sciences, 9(6):1128.
From Pixels to Semantics: A Multi-Stage AI Framework for Structural Damage Detection in Satellite Imagery Build- ing damage detection from post-event aerial imagery using single shot multibox detector.Applied Sciences, 9(6):1128
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T01:18:26.961220Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation bde80e2e-1d45-4076-8c54-b35af44da375 · outbound
This paper cites VRT: A Video Restoration Transformer.
From Pixels to Semantics: A Multi-Stage AI Framework for Structural Damage Detection in Satellite Imagery VRT: A Video Restoration Transformer
Reference 15
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T01:18:26.388911Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 34c96c5f-69ea-425a-add4-f67c161a18ed · outbound
This paper cites Sentinel-1 change detection analysis for cyclone damage assessment in urban environments.Remote Sensing, 12(15):2409.
From Pixels to Semantics: A Multi-Stage AI Framework for Structural Damage Detection in Satellite Imagery Sentinel-1 change detection analysis for cyclone damage assessment in urban environments.Remote Sensing, 12(15):2409
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T01:18:26.986781Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation bb10de6a-1f2b-4b22-8b89-7cac661a5441 · outbound
This paper cites Damage detection and localisation using uav/drone with object detection.Procedia Computer Science, 225:118– 127.
From Pixels to Semantics: A Multi-Stage AI Framework for Structural Damage Detection in Satellite Imagery Damage detection and localisation using uav/drone with object detection.Procedia Computer Science, 225:118– 127
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T01:18:26.976336Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 935605b4-9fef-4a3f-9ab0-2ca912521b33 · outbound
This paper cites 2024 tornado activity reached near-historic levels across the U.S.https://www.weather.gov/news/250703_ tornado_activity.
From Pixels to Semantics: A Multi-Stage AI Framework for Structural Damage Detection in Satellite Imagery 2024 tornado activity reached near-historic levels across the U.S.https://www.weather.gov/news/250703_ tornado_activity
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T01:18:26.963349Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 2f6d03de-85c5-4a19-8947-21763b370721 · outbound
This paper cites an unresolved cited work.
From Pixels to Semantics: A Multi-Stage AI Framework for Structural Damage Detection in Satellite Imagery Unresolved cited work
Reference 19
- Resolution
- unresolved
- raw_fallback, observed 2026-05-15T01:18:26.980229Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation d8dd8f3d-54bc-4643-9295-5a54e5d9bafd · outbound
This paper cites February 19 tor- nadoes and severe storms.https://www.weather.
From Pixels to Semantics: A Multi-Stage AI Framework for Structural Damage Detection in Satellite Imagery February 19 tor- nadoes and severe storms.https://www.weather
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T01:18:27.002215Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation b0dee2bb-b54b-41b8-acf0-7dc00aa52759 · outbound
This paper cites Deep Learning Framework for Infrastructure Maintenance: Crack Detection and High-Resolution Imaging of Infrastructure Surfaces.
From Pixels to Semantics: A Multi-Stage AI Framework for Structural Damage Detection in Satellite Imagery Deep Learning Framework for Infrastructure Maintenance: Crack Detection and High-Resolution Imaging of Infrastructure Surfaces
Reference 21
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T01:18:26.396440Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation f183a25c-0049-48f8-b48e-b4c3e465b234 · outbound
This paper cites Disaster recovery lessons learned from an occupational health and human resources perspective.
From Pixels to Semantics: A Multi-Stage AI Framework for Structural Damage Detection in Satellite Imagery Disaster recovery lessons learned from an occupational health and human resources perspective
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T01:18:26.974377Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation d344d688-12ac-4dfa-b1a5-b4675cb4d0ee · outbound
This paper cites Improving road damage detection accuracy using deep learning image enhancement models.
From Pixels to Semantics: A Multi-Stage AI Framework for Structural Damage Detection in Satellite Imagery Improving road damage detection accuracy using deep learning image enhancement models
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T01:18:26.984191Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 1e12380e-621f-4d99-b77f-267440234633 · outbound
This paper cites Deep learning-based yolo network model for de- tecting surface cracks during structural health monitoring.
From Pixels to Semantics: A Multi-Stage AI Framework for Structural Damage Detection in Satellite Imagery Deep learning-based yolo network model for de- tecting surface cracks during structural health monitoring
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T01:18:26.982361Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 90bf1457-2dc4-479a-9c30-65ef716e6ba6 · outbound
This paper cites 55 km nnw of kota belud, malaysia (event id: us6000sasz).https : / / www.
From Pixels to Semantics: A Multi-Stage AI Framework for Structural Damage Detection in Satellite Imagery 55 km nnw of kota belud, malaysia (event id: us6000sasz).https : / / www
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T01:18:26.951211Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation e9a8543a-3c41-4868-a4fb-9b6308da8357 · outbound
This paper cites Vlce: A knowledge- 9 enhanced framework for image description in disaster assess- ment.
From Pixels to Semantics: A Multi-Stage AI Framework for Structural Damage Detection in Satellite Imagery Vlce: A knowledge- 9 enhanced framework for image description in disaster assess- ment
Reference 26
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T01:18:26.408896Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 790ea5c3-8189-4542-82f2-632ac2ef24ff · outbound
This paper cites Damage detection in concrete structures with multi-feature backgrounds using the yolo network family.Automation in Construction, 170:105887.
From Pixels to Semantics: A Multi-Stage AI Framework for Structural Damage Detection in Satellite Imagery Damage detection in concrete structures with multi-feature backgrounds using the yolo network family.Automation in Construction, 170:105887
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T01:18:26.978464Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation c9f960eb-1524-46c1-a43d-e0c736ca3ce6 · outbound
This paper cites Vqa-aid: Visual question answering for post-disaster damage assessment and analysis.
From Pixels to Semantics: A Multi-Stage AI Framework for Structural Damage Detection in Satellite Imagery Vqa-aid: Visual question answering for post-disaster damage assessment and analysis
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T01:18:26.992845Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation ecabccbb-056f-45df-bf48-a04784501c21 · outbound
This paper cites Gemma 3 Technical Report.
From Pixels to Semantics: A Multi-Stage AI Framework for Structural Damage Detection in Satellite Imagery Gemma 3 Technical Report
Reference 29
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T01:18:26.392683Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 91850d95-9d0e-43c3-bb62-5f39b7fb8018 · outbound
This paper cites Ac- celerating post-tornado disaster assessment using advanced deep learning models.
From Pixels to Semantics: A Multi-Stage AI Framework for Structural Damage Detection in Satellite Imagery Ac- celerating post-tornado disaster assessment using advanced deep learning models
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T01:18:26.953381Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 2fde7d5b-39d6-4ae8-a9ce-2853d2354411 · outbound
This paper cites Myanmar earthquake: One-month impact report (march–april 2025).
From Pixels to Semantics: A Multi-Stage AI Framework for Structural Damage Detection in Satellite Imagery Myanmar earthquake: One-month impact report (march–april 2025)
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T01:18:27.000192Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 0dd229ea-555e-4829-9596-2824818aea1d · outbound
This paper cites GAR 2025 hazard explorations: Earthquakes.https : / / www.
From Pixels to Semantics: A Multi-Stage AI Framework for Structural Damage Detection in Satellite Imagery GAR 2025 hazard explorations: Earthquakes.https : / / www
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T01:18:26.965606Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 985a6826-ec43-4351-a940-03b8ac020a04 · outbound
This paper cites Disasterm3: A remote sensing vision-language dataset for disaster damage assessment and response.
From Pixels to Semantics: A Multi-Stage AI Framework for Structural Damage Detection in Satellite Imagery Disasterm3: A remote sensing vision-language dataset for disaster damage assessment and response
Reference 33
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T01:18:26.400246Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 49edfdaf-6e42-4dec-b9ef-4e003caf1b28 · outbound
This paper cites Tropical cyclone gezani hits madagascar and threatens mozambique.
From Pixels to Semantics: A Multi-Stage AI Framework for Structural Damage Detection in Satellite Imagery Tropical cyclone gezani hits madagascar and threatens mozambique
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T01:18:26.942007Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation b62777c8-2eb5-4f2b-baa5-bcfb60797ecd · outbound
This paper cites Super-resolution reconstruction method of pavement crack images based on an improved generative ad- versarial network.Sensors, 22(23):9092.
From Pixels to Semantics: A Multi-Stage AI Framework for Structural Damage Detection in Satellite Imagery Super-resolution reconstruction method of pavement crack images based on an improved generative ad- versarial network.Sensors, 22(23):9092
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T01:18:26.958393Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 03fa5a93-9067-434a-b940-85652702e53c · outbound
This paper cites Mar-yolo: multi-scale fea- ture adaptive selection and asymptotic pyramid for oriented building detection in remote sensing images.Scientific Re- ports.
From Pixels to Semantics: A Multi-Stage AI Framework for Structural Damage Detection in Satellite Imagery Mar-yolo: multi-scale fea- ture adaptive selection and asymptotic pyramid for oriented building detection in remote sensing images.Scientific Re- ports
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T01:18:26.969760Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 10cbdba7-03db-43e3-b848-91173f85fe1a · outbound
This paper cites Sr- gan based super-resolution reconstruction of power inspec- tion images.Discover Applied Sciences, 6(12):639.
From Pixels to Semantics: A Multi-Stage AI Framework for Structural Damage Detection in Satellite Imagery Sr- gan based super-resolution reconstruction of power inspec- tion images.Discover Applied Sciences, 6(12):639
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T01:18:26.948813Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Pith citing papers
No inbound Pith citation observations are available.