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Paper Citation Record · LEDGER

Post-Hurricane Debris Segmentation Using Fine-Tuned Foundational Vision Models

As of 23 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 0 inbound Pith citation observations for arXiv:2504.12542.

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

pith.paper-citation-record.v1
2504.12542 v2

Coverage vector

measured 24 of 24 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:32:37.865912Z

measured 24 of 24 standing notices

One-hop event checks from named stored sources.

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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

24 of 24 outbound references displayed

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External citation measurements

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Outbound references

Observation af536d0a-bb3a-4c92-8270-cc9940d39333 · outbound

This paper cites an unresolved cited work.

Post-Hurricane Debris Segmentation Using Fine-Tuned Foundational Vision Models Unresolved cited work

Reference 1

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Observation c349b77e-98d2-4140-ac61-e5fb18677e3d · outbound

This paper cites A framework to enhance disaster debris estimation with ai and aerial photogrammetry.

Post-Hurricane Debris Segmentation Using Fine-Tuned Foundational Vision Models A framework to enhance disaster debris estimation with ai and aerial photogrammetry

Reference 9

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Observation b071cc8d-d564-4a47-81f5-5a0747e72dd6 · outbound

This paper cites Jianyi Wang, Zongsheng Yue, Shangchen Zhou, Kelvin C.

Post-Hurricane Debris Segmentation Using Fine-Tuned Foundational Vision Models Jianyi Wang, Zongsheng Yue, Shangchen Zhou, Kelvin C

Reference 10

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Observation e883aa6d-2729-4c6b-aa4a-38378a5af03e · outbound

This paper cites doi: 10.1016/j.jag.2023.103540.

Post-Hurricane Debris Segmentation Using Fine-Tuned Foundational Vision Models doi: 10.1016/j.jag.2023.103540

Reference 11

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Observation 4d7b5b03-5963-46e8-b880-6c615da304dd · outbound

This paper cites arXiv | 11 Chih-Shen Cheng, Amir Behzadan, and Arash Noshadravan.

Post-Hurricane Debris Segmentation Using Fine-Tuned Foundational Vision Models arXiv | 11 Chih-Shen Cheng, Amir Behzadan, and Arash Noshadravan

Reference 12

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Observation 3bfc2dd1-ffda-42cf-b10b-708f54cc5299 · outbound

This paper cites doi: 10.1016/j.rse.

Post-Hurricane Debris Segmentation Using Fine-Tuned Foundational Vision Models doi: 10.1016/j.rse

Reference 13

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Observation 700729a0-b144-4bf6-87ef-c6be99a855bd · outbound

This paper cites doi: 10.3390/w13182553.

Post-Hurricane Debris Segmentation Using Fine-Tuned Foundational Vision Models doi: 10.3390/w13182553

Reference 15

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Observation acfea88a-f7f0-45fb-89a8-fe4a0f6e7926 · outbound

This paper cites Alican Karaer, Mehmet Baran Ulak, Tarek Abichou, Reza Arghandeh, and Eren Erman Ozguven.

Post-Hurricane Debris Segmentation Using Fine-Tuned Foundational Vision Models Alican Karaer, Mehmet Baran Ulak, Tarek Abichou, Reza Arghandeh, and Eren Erman Ozguven

Reference 16

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Observation f323fa24-f285-43c3-b5f9-0d85f0633e56 · outbound

This paper cites doi: 10.1177/ 03611981211029921.

Post-Hurricane Debris Segmentation Using Fine-Tuned Foundational Vision Models doi: 10.1177/ 03611981211029921

Reference 17

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Observation d187858e-1315-46cb-8f25-513780236f52 · outbound

This paper cites doi: 10.3390/jmse12040668.

Post-Hurricane Debris Segmentation Using Fine-Tuned Foundational Vision Models doi: 10.3390/jmse12040668

Reference 19

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This paper cites Prannay Khosla, Piotr Teterwak, Chen Wang, Aaron Sarna, Y on- glong Tian, Phillip Isola, Aaron Maschinot, Ce Liu, and Dilip Krishnan.

Post-Hurricane Debris Segmentation Using Fine-Tuned Foundational Vision Models Prannay Khosla, Piotr Teterwak, Chen Wang, Aaron Sarna, Y on- glong Tian, Phillip Isola, Aaron Maschinot, Ce Liu, and Dilip Krishnan

Reference 22

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Observation 9c497089-252d-4c27-a123-dd3c16243f7d · outbound

This paper cites Decoupled Weight Decay Regularization.

Post-Hurricane Debris Segmentation Using Fine-Tuned Foundational Vision Models Decoupled Weight Decay Regularization

Reference 23

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This paper cites Optimizing the Dice Score and Jaccard Index for Medical Image Segmentation: Theory & Practice.

Post-Hurricane Debris Segmentation Using Fine-Tuned Foundational Vision Models Optimizing the Dice Score and Jaccard Index for Medical Image Segmentation: Theory & Practice

Reference 24

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Observation 6b61dc7f-e000-44c6-8c12-df6de0366cc1 · outbound

This paper cites Observations of fema’s debris monitoring efforts for hurri- cane irma.

Post-Hurricane Debris Segmentation Using Fine-Tuned Foundational Vision Models Observations of fema’s debris monitoring efforts for hurri- cane irma

Reference 2008

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Observation 39c923f9-e6aa-476e-abe4-fa80205e6b75 · outbound

This paper cites doi: 10.1080/19475705.2014.1003417.

Post-Hurricane Debris Segmentation Using Fine-Tuned Foundational Vision Models doi: 10.1080/19475705.2014.1003417

Reference 2016

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Observation cf2e32ab-463e-42f8-9571-f86437429c59 · outbound

This paper cites 1527-6996.0000246.

Post-Hurricane Debris Segmentation Using Fine-Tuned Foundational Vision Models 1527-6996.0000246

Reference 2017

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Observation 482f57c6-12ae-4355-a595-599337c2cbbf · outbound

This paper cites Kooshan Amini and Jamie E.

Post-Hurricane Debris Segmentation Using Fine-Tuned Foundational Vision Models Kooshan Amini and Jamie E

Reference 2018

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Post-Hurricane Debris Segmentation Using Fine-Tuned Foundational Vision Models Unresolved cited work

Reference 2019

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This paper cites doi: 10.1038/ s41598-020-62298-z.

Post-Hurricane Debris Segmentation Using Fine-Tuned Foundational Vision Models doi: 10.1038/ s41598-020-62298-z

Reference 2020

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Post-Hurricane Debris Segmentation Using Fine-Tuned Foundational Vision Models Unresolved cited work

Reference 2021

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This paper cites doi: 10.1016/j.ijdrr.2022.103215.

Post-Hurricane Debris Segmentation Using Fine-Tuned Foundational Vision Models doi: 10.1016/j.ijdrr.2022.103215

Reference 2022

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This paper cites doi: 10.1016/j.ress.2023.109579.

Post-Hurricane Debris Segmentation Using Fine-Tuned Foundational Vision Models doi: 10.1016/j.ress.2023.109579

Reference 2023

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This paper cites doi: 10.1016/j.gecco.2024.

Post-Hurricane Debris Segmentation Using Fine-Tuned Foundational Vision Models doi: 10.1016/j.gecco.2024

Reference 2024

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Reference 2025

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