Paper Citation Record · LEDGER

Effective Damage Data Generation by Fusing Imagery with Human Knowledge Using Vision-Language Models

As of 20 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 0 inbound Pith citation observations for arXiv:2508.01380.

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

pith.paper-citation-record.v1
2508.01380 v1

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T05:43:56.405313Z

measured 36 of 36 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+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

36 of 36 outbound references displayed

verified exact2
verified fuzzy25
unresolved9
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0a950808-9ce8-4770-8250-27d2ce6172f2 · outbound

This paper cites Dealing with uncertainty in model updating for damage assessment: A review,.

Effective Damage Data Generation by Fusing Imagery with Human Knowledge Using Vision-Language Models Dealing with uncertainty in model updating for damage assessment: A review,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:44:03.878137Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 4f6525d4-fc21-4636-9afa-2ee351b48ce9 · outbound

This paper cites NIDA-CLIFGAN: Natural Infrastructure Damage Assessment through Efficient Classification Combining Contrastive Learning, Information Fusion and Generative Adversarial Networks.

Effective Damage Data Generation by Fusing Imagery with Human Knowledge Using Vision-Language Models NIDA-CLIFGAN: Natural Infrastructure Damage Assessment through Efficient Classification Combining Contrastive Learning, Information Fusion and Generative Adversarial Networks

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-08-06T05:43:57.118248Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation dbdffbdb-2f62-4254-bc29-0a9300cc402c · outbound

This paper cites Deep Learning Approach for Data and Computing Efficient Disaster Mitigation in Humanitarian Assistance and Disaster Response Applications,.

Effective Damage Data Generation by Fusing Imagery with Human Knowledge Using Vision-Language Models Deep Learning Approach for Data and Computing Efficient Disaster Mitigation in Humanitarian Assistance and Disaster Response Applications,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:44:03.657590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation cefb9b46-d1a5-4f31-93a8-75628eeecdd5 · outbound

This paper cites Artificial intelligence and data fusion at the edge,.

Effective Damage Data Generation by Fusing Imagery with Human Knowledge Using Vision-Language Models Artificial intelligence and data fusion at the edge,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:44:03.380005Z

Source-reported events for the cited work

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Observation d161d5c4-60f6-480f-abe8-636aa2e5f0e5 · outbound

This paper cites Creating xBD: A dataset for assessing building damage from satellite imagery,.

Effective Damage Data Generation by Fusing Imagery with Human Knowledge Using Vision-Language Models Creating xBD: A dataset for assessing building damage from satellite imagery,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:44:03.139199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e7594d07-6f78-4758-953a-3107b9df7692 · outbound

This paper cites Introduction to the DDDAS2022 Conference Infosymbiotics/Dynamic Data Driven Applications Systems,.

Effective Damage Data Generation by Fusing Imagery with Human Knowledge Using Vision-Language Models Introduction to the DDDAS2022 Conference Infosymbiotics/Dynamic Data Driven Applications Systems,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:44:02.898785Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d6bbbd80-45f0-44a1-8508-7114b9b44d97 · outbound

This paper cites an unresolved cited work.

Effective Damage Data Generation by Fusing Imagery with Human Knowledge Using Vision-Language Models Unresolved cited work

Reference 7

Resolution: unresolved; raw_fallback, observed 2026-08-06T05:44:02.631223Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 1aa518e2-cadd-4349-9f5d-857d3e12f383 · outbound

This paper cites Szeliski, Computer vision: algorithms and applications.

Effective Damage Data Generation by Fusing Imagery with Human Knowledge Using Vision-Language Models Szeliski, Computer vision: algorithms and applications

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:44:02.343566Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation dd6a641c-83b4-4fb5-85b6-fa92746c8745 · outbound

This paper cites Illumination-Invariance Image Retrieval and Video Segmentation,.

Effective Damage Data Generation by Fusing Imagery with Human Knowledge Using Vision-Language Models Illumination-Invariance Image Retrieval and Video Segmentation,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:44:02.121300Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 1f73c4d8-4e7e-426f-bd8a-89ee056906d1 · outbound

This paper cites Murphy, Machine Learning: A Probabilistic Perspective.

Effective Damage Data Generation by Fusing Imagery with Human Knowledge Using Vision-Language Models Murphy, Machine Learning: A Probabilistic Perspective

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:44:01.890280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 4bdb84c1-df0c-4c55-9bff-4f588342e0f9 · outbound

This paper cites Generative adversarial nets,.

Effective Damage Data Generation by Fusing Imagery with Human Knowledge Using Vision-Language Models Generative adversarial nets,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:44:01.621466Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 08e1206c-36fc-4c67-921d-404c59ec7d52 · outbound

This paper cites Diffusion models in vision: A survey,.

Effective Damage Data Generation by Fusing Imagery with Human Knowledge Using Vision-Language Models Diffusion models in vision: A survey,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:44:01.386820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 5451d566-b63f-40d6-b9ba-79b28a4240e1 · outbound

This paper cites High level information fusion developments, issues, and grand challenges: Fusion 2010 panel discussion,.

Effective Damage Data Generation by Fusing Imagery with Human Knowledge Using Vision-Language Models High level information fusion developments, issues, and grand challenges: Fusion 2010 panel discussion,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:44:01.090428Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation dec442ac-2c79-4489-8a9f-bdc0703f3d5b · outbound

This paper cites A brief overview of ChatGPT: The history, status quo and potential future development,.

Effective Damage Data Generation by Fusing Imagery with Human Knowledge Using Vision-Language Models A brief overview of ChatGPT: The history, status quo and potential future development,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:44:00.835348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d34bc03d-0949-4a8f-90e2-1764dc8ed90a · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

Effective Damage Data Generation by Fusing Imagery with Human Knowledge Using Vision-Language Models Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T05:43:53.370918Z

Source-reported events for the cited work

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Observation 72ba3c1e-da10-4c1d-ac63-2a1337acf470 · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

Effective Damage Data Generation by Fusing Imagery with Human Knowledge Using Vision-Language Models Gemini: A Family of Highly Capable Multimodal Models

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T05:43:53.516077Z

Source-reported events for the cited work

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Observation 79d263fd-6841-466c-965f-e56f7f36de18 · outbound

This paper cites A Review of Yolo algorithm developments,.

Effective Damage Data Generation by Fusing Imagery with Human Knowledge Using Vision-Language Models A Review of Yolo algorithm developments,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:44:00.597267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 722b28bc-85c9-4dee-a7de-fe9dcce715ca · outbound

This paper cites Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context.

Effective Damage Data Generation by Fusing Imagery with Human Knowledge Using Vision-Language Models Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T05:43:53.866223Z

Source-reported events for the cited work

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Observation 4be8e841-f3e5-4d6d-a5a1-3955ff2f6fd2 · outbound

This paper cites Blasch, É.

Effective Damage Data Generation by Fusing Imagery with Human Knowledge Using Vision-Language Models Blasch, É

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:44:00.367948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 4a8ff279-a656-4f3a-9c66-7c7f74aa76e9 · outbound

This paper cites Situation, impact, and user refinement,.

Effective Damage Data Generation by Fusing Imagery with Human Knowledge Using Vision-Language Models Situation, impact, and user refinement,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:44:00.125647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 4965462f-94f0-451c-b8f0-452191275cf0 · outbound

This paper cites Supporting agile user fusion analytics through human- agent knowledge fusion,.

Effective Damage Data Generation by Fusing Imagery with Human Knowledge Using Vision-Language Models Supporting agile user fusion analytics through human- agent knowledge fusion,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:43:59.893273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 167f3965-4776-4d1e-b00e-05425f2fe668 · outbound

This paper cites Prompt engineering with ChatGPT: a guide for academic writers,.

Effective Damage Data Generation by Fusing Imagery with Human Knowledge Using Vision-Language Models Prompt engineering with ChatGPT: a guide for academic writers,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:43:59.617282Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 6180709d-4bbe-4b66-8a7c-775476f836a8 · outbound

This paper cites A Survey on In-context Learning.

Effective Damage Data Generation by Fusing Imagery with Human Knowledge Using Vision-Language Models A Survey on In-context Learning

Reference 23

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Source-reported events for the cited work

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Observation 82c8d880-7bda-44be-92f9-b7537e5521f2 · outbound

This paper cites Investigating Vision-Language Model for Point Cloud-based Vehicle Classification.

Effective Damage Data Generation by Fusing Imagery with Human Knowledge Using Vision-Language Models Investigating Vision-Language Model for Point Cloud-based Vehicle Classification

Reference 24

Resolution: verified exact; local_arxiv, observed 2026-08-06T05:43:56.789948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 75673ed7-a698-403e-a5d2-091b620fae19 · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large language models,.

Effective Damage Data Generation by Fusing Imagery with Human Knowledge Using Vision-Language Models Chain-of-thought prompting elicits reasoning in large language models,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:43:59.366443Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation ee1ff856-d31b-4756-ae20-cb667ac462e0 · outbound

This paper cites Active learning,.

Effective Damage Data Generation by Fusing Imagery with Human Knowledge Using Vision-Language Models Active learning,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:43:59.144664Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation da72fa57-ccfb-4c1b-875a-6f8410189e12 · outbound

This paper cites Towards Trustworthy Retrieval Augmented Generation for Large Language Models: A Survey.

Effective Damage Data Generation by Fusing Imagery with Human Knowledge Using Vision-Language Models Towards Trustworthy Retrieval Augmented Generation for Large Language Models: A Survey

Reference 27

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Source-reported events for the cited work

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Observation 7192cedc-2767-4161-8601-21d1325f08db · outbound

This paper cites Retrieval-augmented generation for knowledge-intensive nlp tasks,.

Effective Damage Data Generation by Fusing Imagery with Human Knowledge Using Vision-Language Models Retrieval-augmented generation for knowledge-intensive nlp tasks,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:43:58.941609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation ad1dd539-dce0-4ccc-a6bc-1027786a1287 · outbound

This paper cites Lora: Low-rank adaptation of large language models,.

Effective Damage Data Generation by Fusing Imagery with Human Knowledge Using Vision-Language Models Lora: Low-rank adaptation of large language models,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:43:58.636863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 7c3ad9ea-f68f-44d8-a636-dea670f05849 · outbound

This paper cites Grounding dino: Marrying dino with grounded pre-training for open-set object detection,.

Effective Damage Data Generation by Fusing Imagery with Human Knowledge Using Vision-Language Models Grounding dino: Marrying dino with grounded pre-training for open-set object detection,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:43:58.311062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 45f7f30b-df27-45ae-a5b8-6e7d1b4af7bc · outbound

This paper cites A comprehensive review of yolo architectures in computer vision: From YOLOv1 to YOLOv8 and YOLO-NAS,.

Effective Damage Data Generation by Fusing Imagery with Human Knowledge Using Vision-Language Models A comprehensive review of yolo architectures in computer vision: From YOLOv1 to YOLOv8 and YOLO-NAS,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:43:57.980596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation be498702-d155-424f-8147-18c7ebb6d095 · outbound

This paper cites Segment Anything.

Effective Damage Data Generation by Fusing Imagery with Human Knowledge Using Vision-Language Models Segment Anything

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-06T05:43:55.821382Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2b39e37a-5bc1-491f-adce-70f3f0d3a3af · outbound

This paper cites Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets.

Effective Damage Data Generation by Fusing Imagery with Human Knowledge Using Vision-Language Models Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-06T05:43:55.983120Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8c0d431b-e362-4e3c-aa03-6f88a574395b · outbound

This paper cites Instructpix2pix: Learning to follow image editing instructions,.

Effective Damage Data Generation by Fusing Imagery with Human Knowledge Using Vision-Language Models Instructpix2pix: Learning to follow image editing instructions,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:43:57.676900Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 1ceedf7c-3fb7-4854-8913-54257f96d5c0 · outbound

This paper cites Zheng, E.

Effective Damage Data Generation by Fusing Imagery with Human Knowledge Using Vision-Language Models Zheng, E

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:43:57.389338Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d6aa0ccf-db31-4d1f-819e-0a6a57b53ded · outbound

This paper cites A Survey on LLM-as-a-Judge.

Effective Damage Data Generation by Fusing Imagery with Human Knowledge Using Vision-Language Models A Survey on LLM-as-a-Judge

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-06T05:43:56.405313Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.