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Paper Citation Record · LEDGER

AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques

As of 18 August 2026, this Paper Citation Record lists 91 of 91 outbound references and 1 inbound Pith citation observation for arXiv:2505.08202.

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

pith.paper-citation-record.v1
2505.08202 v1

Coverage vector

measured 91 of 91 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:03:03.150573Z

measured 92 of 92 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:07:48.948989Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-16T12:16:17.039197Z

Reference resolution

91 of 91 outbound references displayed

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  • verified fuzzy6
  • unresolved56
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External citation measurements

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Outbound references

Observation 7fad96d5-a23d-4034-b675-26a2be9cc130 · outbound

This paper cites Post-earthquake damage assessment using satellite and airborne data in the case of the 1999 Kocaeli earthquake, Turkey.

AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques Post-earthquake damage assessment using satellite and airborne data in the case of the 1999 Kocaeli earthquake, Turkey

Reference 1

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Observation ad3ebf17-cd38-4ef2-8fc9-33d0abdaf809 · outbound

This paper cites an unresolved cited work.

AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques Unresolved cited work

Reference 2

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Observation 8071f7a8-5bf8-49ca-a893-4e684aa6da37 · outbound

This paper cites Generative Adversarial Networks.

AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques Generative Adversarial Networks

Reference 3

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Observation c245c9ad-e459-4073-ada0-8e7f7bae58f6 · outbound

This paper cites Generative Deep Learning for Data Generation in Natural Hazard Analysis: Motivations, Advances, Challenges, and Opportunities.

AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques Generative Deep Learning for Data Generation in Natural Hazard Analysis: Motivations, Advances, Challenges, and Opportunities

Reference 4

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Observation 683cc6a6-6d84-408c-88d2-6f8caa75cfdd · outbound

This paper cites Classifying Earthquake Damage to Buildings Using Machine Learning.

AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques Classifying Earthquake Damage to Buildings Using Machine Learning

Reference 5

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Observation 0f5baabd-536f-48d4-b5f8-45db723d30e8 · outbound

This paper cites UAV-Based Structural Damage Mapping: A Review.

AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques UAV-Based Structural Damage Mapping: A Review

Reference 6

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Observation 6e29d27b-a958-4529-b0c2-64103712498c · outbound

This paper cites Gemini and Physical World: Large Language Models Can Estimate the Intensity of Earthquake Shaking from Multimodal Social Media Posts.

AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques Gemini and Physical World: Large Language Models Can Estimate the Intensity of Earthquake Shaking from Multimodal Social Media Posts

Reference 7

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Observation 9b17c7c9-21c5-4160-afa7-d72736d28b5a · outbound

This paper cites Effectiveness of Generative AI for Post-Earthquake Damage Assessment.

AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques Effectiveness of Generative AI for Post-Earthquake Damage Assessment

Reference 8

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Observation ccf82d5d-a91c-45a7-bf9a-368a5527268c · outbound

This paper cites Comprehensive Review of AI and ML Tools for Earthquake Damage Assessment and Retrofitting Strategies.

AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques Comprehensive Review of AI and ML Tools for Earthquake Damage Assessment and Retrofitting Strategies

Reference 9

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Observation d021e3a5-5c8b-42cc-bf80-498e6a279ee7 · outbound

This paper cites Remote Sensing Techniques to Assess Active Fire Characteristics and Post-Fire Effects.

AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques Remote Sensing Techniques to Assess Active Fire Characteristics and Post-Fire Effects

Reference 10

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Observation ddc4ec40-e14c-4f97-9747-99fe2641f19f · outbound

This paper cites A Review of the Applications of Remote Sensing in Fire Ecology.

AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques A Review of the Applications of Remote Sensing in Fire Ecology

Reference 11

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Observation 40e96961-f089-46bb-bf8c-4f95853eccb4 · outbound

This paper cites A Review on Early Forest Fire Detection Systems Using Optical Remote Sensing.

AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques A Review on Early Forest Fire Detection Systems Using Optical Remote Sensing

Reference 12

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AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques Unresolved cited work

Reference 14

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This paper cites Wildfire-Detection Method Using DenseNet and CycleGAN Data Augmentation-Based Remote Camera Imagery.

AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques Wildfire-Detection Method Using DenseNet and CycleGAN Data Augmentation-Based Remote Camera Imagery

Reference 15

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Observation c0ea752d-60c5-4b77-9716-5221f67d53db · outbound

This paper cites Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks.

AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks

Reference 16

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Observation 7e842055-e31e-42d6-b65d-b9587f450329 · outbound

This paper cites Cyclone Damage Detection on Building Structures from Pre- and Post-Satellite Images Using Wavelet Based Pattern Recognition.

AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques Cyclone Damage Detection on Building Structures from Pre- and Post-Satellite Images Using Wavelet Based Pattern Recognition

Reference 17

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This paper cites FloodNet: A High Resolution Aerial Imagery Dataset for Post Flood Scene Understanding.

AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques FloodNet: A High Resolution Aerial Imagery Dataset for Post Flood Scene Understanding

Reference 18

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Observation 168f5db3-982d-40b1-8626-bc8e96317eae · outbound

This paper cites Using Artificial Neural Network Models to Assess Hurricane Damage through Transfer Learning.

AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques Using Artificial Neural Network Models to Assess Hurricane Damage through Transfer Learning

Reference 20

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AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques Infrastructure Performance Prediction under Climate-Induced Disasters Using Data Analytics

Reference 21

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AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques Crisis Analytics: Big Data-Driven Crisis Response

Reference 22

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AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques Data-Driven Techniques in Disaster Information Management

Reference 23

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AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques Machine Learning Algorithms in Civil Structural Health Monitoring: A Systematic Review

Reference 25

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AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques Mapping Canopy Damage from Understory Fires in Amazon Forests Using Annual Time Series of Landsat and MODIS Data

Reference 26

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AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques Predicting Forest Fire in the Brazilian Amazon Using MODIS Imagery and Artificial Neural Networks

Reference 27

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AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques The Role of Unstructured Data in Real-Time Disaster-Related Social Media Monitoring

Reference 29

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AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques E2mC: Improving Emergency Management Service Practice through Social Media and Crowdsourcing Analysis in Near Real Time

Reference 30

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AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques Natural Disasters Detection in Social Media and Satellite Imagery: A Survey

Reference 31

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AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques Conditional Generative Adversarial Networks (CGAN) for Abnormal Vibration of Aero Engine Analysis

Reference 32

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AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques Unresolved cited work

Reference 33

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This paper cites Opportunities and Challenges of Generative AI in Construction Industry: Focusing on Adoption of Text-Based Models.

AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques Opportunities and Challenges of Generative AI in Construction Industry: Focusing on Adoption of Text-Based Models

Reference 34

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AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques Image Super-Resolution Using Deep Convolutional Networks

Reference 35

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AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques SenseGen: A Deep Learning Architecture for Synthetic Sensor Data Generation

Reference 36

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AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques Unresolved cited work

Reference 37

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AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques Investigation of Flash Floods on Early Basis: A Factual Comprehensive Review

Reference 38

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AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques Advanced Damage Detection Techniques in Historical Buildings Using Digital Photogrammetry and 3D Surface Anlysis

Reference 39

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AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques Artificial Intelligence for Speech Recognition Based on Neural Networks

Reference 41

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AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques Deepfakes, Misinformation and Disinformation and Authenticity Infrastructure Responses: Impacts on Frontline Witnessing, Distant Witnessing, and Civic Journalism

Reference 42

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AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques Unresolved cited work

Reference 43

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AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques A Survey of Detection and Mitigation for Fake Images on Social Media Platforms

Reference 44

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AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques Digital Media and Misinformation: An Outlook on Multidisciplinary Strategies against Manipulation

Reference 45

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This paper cites Flood Vulnerability Assessment of Urban Buildings Based on Integrating High-Resolution Remote Sensing and Street View Images.

AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques Flood Vulnerability Assessment of Urban Buildings Based on Integrating High-Resolution Remote Sensing and Street View Images

Reference 46

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AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques Image Forgery Detection: A Survey of Recent Deep-Learning Approaches

Reference 47

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AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques Intriguing properties of neural networks

Reference 48

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AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques Explainable Artificial Intelligence (XAI): What We Know and What Is Left to Attain Trustworthy Artificial Intelligence

Reference 49

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AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques Multi-Scale Spatial Pyramid Attention Mechanism for Image Recognition: An Effective Approach

Reference 50

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AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques Differential Privacy

Reference 51

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AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques Interpreting Black-Box Models: A Review on Explainable Artificial Intelligence

Reference 52

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AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques Fairness and Bias in Artificial Intelligence: A Brief Survey of Sources, Impacts, and Mitigation Strategies

Reference 54

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AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques Improved Wavelet-Based Watermarking through Pixel-Wise Masking

Reference 55

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AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques Image Forgery Detection

Reference 56

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AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques Unresolved cited work

Reference 57

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AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques Restricted Boltzmann Machines: Introduction and Review

Reference 58

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AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques A Visual Model-Based Perceptual Image Hash for Content Authentication

Reference 59

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AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques The research confirmed that GAN-generated synthetic data were able to efficiently enhance wildfire detection accuracy

Reference 60

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AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques Random Forests

Reference 62

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AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques Unresolved cited work

Reference 68

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AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques Cryptography and network security: principles and practice

Reference 70

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AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques U-Net: Convolutional Networks for Biomedical Image Segmentation

Reference 71

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AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques (ed.), Musson, R., Schwarz, J., Stucchi, M

Reference 75

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AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 76

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AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques Deep Residual Learning for Image Recognition

Reference 77

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AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications

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AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

Reference 82

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AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques Enhanced Deep Residual Networks for Single Image Super-Resolution

Reference 83

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Observation 2cb04873-78d3-4a77-84c3-707fc0e92e0e · outbound

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AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques Image Super-Resolution Using Very Deep Residual Channel Attention Networks

Reference 84

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Observation 4cb2b432-c508-4b33-97c6-b4d940cc77a9 · outbound

This paper cites You Only Look Once: Unified, Real-Time Object Detection.

AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques You Only Look Once: Unified, Real-Time Object Detection

Reference 85

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Observation 432bb4ee-79f4-43a3-b524-7f0777808001 · outbound

This paper cites Mel Frequency Cepstral Coefficient and Its Applications: A Review.

AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques Mel Frequency Cepstral Coefficient and Its Applications: A Review

Reference 86

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Observation 659c9ff2-876d-4179-80bc-c1b67ba2dfe0 · outbound

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AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques A Unified Approach to Interpreting Model Predictions

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Observation d2dece64-bf92-4bb2-9345-df895c3208e0 · outbound

This paper cites "Why Should I Trust You?": Explaining the Predictions of Any Classifier.

AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques "Why Should I Trust You?": Explaining the Predictions of Any Classifier

Reference 90

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Observation 0394ccac-1f91-46ee-8641-9a17ddd27192 · outbound

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AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques Graph Neural Networks: A Review of Methods and Applications

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Observation ccb91749-3be0-4341-a5ce-46369d1d9ef2 · outbound

This paper cites Geographic Information Systems: Applications and Research Opportunities for Information Systems Researchers.

AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques Geographic Information Systems: Applications and Research Opportunities for Information Systems Researchers

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AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques A Survey of Natural Language Generation

Reference 93

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AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques Unresolved cited work

Reference 160

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AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques Unresolved cited work

Reference 220

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AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques Greedy Function Approximation: A Gradient Boosting Machine

Reference 2001

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AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques Intriguing properties of neural networks

Reference 2014

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AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques U-Net: Convolutional Networks for Biomedical Image Segmentation

Reference 2015

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AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques XGBoost: A Scalable Tree Boosting System

Reference 2016

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AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques Neural Discrete Representation Learning

Reference 2017

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AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques Restricted Boltzmann Machines: Introduction and Review

Reference 2018

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AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques An Introduction to Variational Autoencoders

Reference 2019

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AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 2020

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AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques Swin Transformer: Hierarchical Vision Transformer using Shifted Windows

Reference 2021

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AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques Unresolved cited work

Reference 2023

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AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques Unresolved cited work

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Reference 2638

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Pith citing papers

Observation 0b1f2d6c-7d00-4861-801a-81016175a668 · inbound

Opportunities and Applications of GenAI in Smart Cities: A User-Centric Survey cites this paper.

Opportunities and Applications of GenAI in Smart Cities: A User-Centric Survey AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques

Reference 56

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