Paper Citation Record · LEDGER

Leveraging Self-Supervised Features for Efficient Flooded Region Identification in UAV Aerial Images

As of 7 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 0 inbound Pith citation observations for arXiv:2507.04915.

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

pith.paper-citation-record.v1
2507.04915 v1

Coverage vector

measured 47 of 47 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:42:33.977181Z

measured 47 of 47 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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

47 of 47 outbound references displayed

verified exact12
verified fuzzy6
unresolved23
parse uncertain0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation fb4b022d-1c8c-4926-8d12-d0caae52dc70 · outbound

This paper cites an unresolved cited work.

Leveraging Self-Supervised Features for Efficient Flooded Region Identification in UAV Aerial Images Unresolved cited work

Reference 1

Resolution: verified exact; doi, observed 2026-08-06T19:42:34.148164Z

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Observation 07fee31d-662a-48f8-b983-b9f3443dac84 · outbound

This paper cites & Srinivasa, G.Flood Disaster Management (National Remote Sensing Centre, 2010).

Leveraging Self-Supervised Features for Efficient Flooded Region Identification in UAV Aerial Images & Srinivasa, G.Flood Disaster Management (National Remote Sensing Centre, 2010)

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:42:35.550019Z

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Observation 74a7e760-601c-4ae3-be51-38907597e471 · outbound

This paper cites The limitations of traditional surveying techniques in a forested environment.

Leveraging Self-Supervised Features for Efficient Flooded Region Identification in UAV Aerial Images The limitations of traditional surveying techniques in a forested environment

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:42:35.541053Z

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Observation 5014bcfa-f027-408d-81c7-0a78ce94a4c1 · outbound

This paper cites S., Abdu Rahiman, K.

Leveraging Self-Supervised Features for Efficient Flooded Region Identification in UAV Aerial Images S., Abdu Rahiman, K

Reference 4

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Observation 670ae506-463e-4fb6-af6d-d49787e34452 · outbound

This paper cites & Houet, T.

Leveraging Self-Supervised Features for Efficient Flooded Region Identification in UAV Aerial Images & Houet, T

Reference 5

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Observation c36b1c1e-fa52-4ae2-a45e-e0d2f67d48de · outbound

This paper cites & Dinka, M.

Leveraging Self-Supervised Features for Efficient Flooded Region Identification in UAV Aerial Images & Dinka, M

Reference 6

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This paper cites an unresolved cited work.

Leveraging Self-Supervised Features for Efficient Flooded Region Identification in UAV Aerial Images Unresolved cited work

Reference 8

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Source-reported events for the cited work

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Observation 8731260d-d4e8-4fd8-8b36-427e1075e131 · outbound

This paper cites & Tian, Y.

Leveraging Self-Supervised Features for Efficient Flooded Region Identification in UAV Aerial Images & Tian, Y

Reference 9

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This paper cites an unresolved cited work.

Leveraging Self-Supervised Features for Efficient Flooded Region Identification in UAV Aerial Images Unresolved cited work

Reference 10

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Observation 16caa0e2-c46c-4313-b2bf-377ee96540f7 · outbound

This paper cites & Brox, T.

Leveraging Self-Supervised Features for Efficient Flooded Region Identification in UAV Aerial Images & Brox, T

Reference 11

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Observation bd560a54-c332-4534-b985-fd4714622e43 · outbound

This paper cites an unresolved cited work.

Leveraging Self-Supervised Features for Efficient Flooded Region Identification in UAV Aerial Images Unresolved cited work

Reference 12

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Observation daef3e27-a3e7-4b3b-92dc-294cc7436664 · outbound

This paper cites an unresolved cited work.

Leveraging Self-Supervised Features for Efficient Flooded Region Identification in UAV Aerial Images Unresolved cited work

Reference 13

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This paper cites an unresolved cited work.

Leveraging Self-Supervised Features for Efficient Flooded Region Identification in UAV Aerial Images Unresolved cited work

Reference 14

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This paper cites an unresolved cited work.

Leveraging Self-Supervised Features for Efficient Flooded Region Identification in UAV Aerial Images Unresolved cited work

Reference 15

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Observation 0e2d9c1b-7b96-4a61-bcee-936d5393acac · outbound

This paper cites V ., Dobbs, D.

Leveraging Self-Supervised Features for Efficient Flooded Region Identification in UAV Aerial Images V ., Dobbs, D

Reference 16

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Source-reported events for the cited work

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Observation daf05198-5ca1-4747-bbc6-93737fe66674 · outbound

This paper cites L., Ayele, E.

Leveraging Self-Supervised Features for Efficient Flooded Region Identification in UAV Aerial Images L., Ayele, E

Reference 17

Resolution: verified exact; doi, observed 2026-08-06T19:42:34.103792Z

Source-reported events for the cited work

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Observation f7c372af-2fda-4204-a4b5-516f42994231 · outbound

This paper cites & Darrell, T.

Leveraging Self-Supervised Features for Efficient Flooded Region Identification in UAV Aerial Images & Darrell, T

Reference 18

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Source-reported events for the cited work

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Observation 71882564-a3bd-429a-8ec2-daac1a501276 · outbound

This paper cites & Cipolla, R.

Leveraging Self-Supervised Features for Efficient Flooded Region Identification in UAV Aerial Images & Cipolla, R

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:42:35.492101Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 46ab2d47-9177-4be2-99ff-26c9c11f6894 · outbound

This paper cites & Jafari, M.

Leveraging Self-Supervised Features for Efficient Flooded Region Identification in UAV Aerial Images & Jafari, M

Reference 20

Resolution: verified exact; doi, observed 2026-08-06T19:42:34.127369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ab9cdc22-1eec-41f8-a06a-4729eb3f1018 · outbound

This paper cites Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation.

Leveraging Self-Supervised Features for Efficient Flooded Region Identification in UAV Aerial Images Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation

Reference 21

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Source-reported events for the cited work

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Observation c33e4813-7969-489f-8e8b-f9eb30133a47 · outbound

This paper cites Rethinking Atrous Convolution for Semantic Image Segmentation.

Leveraging Self-Supervised Features for Efficient Flooded Region Identification in UAV Aerial Images Rethinking Atrous Convolution for Semantic Image Segmentation

Reference 22

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This paper cites A progressive image semantic segmentation method using recurrent neural network.

Leveraging Self-Supervised Features for Efficient Flooded Region Identification in UAV Aerial Images A progressive image semantic segmentation method using recurrent neural network

Reference 23

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Observation b0f2cada-1687-4af1-a708-c252960f5796 · outbound

This paper cites an unresolved cited work.

Leveraging Self-Supervised Features for Efficient Flooded Region Identification in UAV Aerial Images Unresolved cited work

Reference 24

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Source-reported events for the cited work

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Observation a2773993-c0c3-436d-96ef-f8777ce53b9a · outbound

This paper cites an unresolved cited work.

Leveraging Self-Supervised Features for Efficient Flooded Region Identification in UAV Aerial Images Unresolved cited work

Reference 25

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Source-reported events for the cited work

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Observation 57a4ca20-722a-4bb0-9464-b6f4ac61ba6e · outbound

This paper cites an unresolved cited work.

Leveraging Self-Supervised Features for Efficient Flooded Region Identification in UAV Aerial Images Unresolved cited work

Reference 26

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Source-reported events for the cited work

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Observation 224a20c7-ca48-4238-bc37-d00fb554439c · outbound

This paper cites & Schmid, C.

Leveraging Self-Supervised Features for Efficient Flooded Region Identification in UAV Aerial Images & Schmid, C

Reference 27

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Source-reported events for the cited work

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Observation fcc875e2-82dd-4880-93cd-4c1309940bc7 · outbound

This paper cites Fully Self-Supervised Learning for Semantic Segmentation.

Leveraging Self-Supervised Features for Efficient Flooded Region Identification in UAV Aerial Images Fully Self-Supervised Learning for Semantic Segmentation

Reference 28

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Source-reported events for the cited work

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Observation d3c692fc-199f-4cca-8ab5-7612db53af1a · outbound

This paper cites & Wang, Q.

Leveraging Self-Supervised Features for Efficient Flooded Region Identification in UAV Aerial Images & Wang, Q

Reference 29

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Observation 1905195c-9eb9-4b51-ab61-6ba926f8797a · outbound

This paper cites an unresolved cited work.

Leveraging Self-Supervised Features for Efficient Flooded Region Identification in UAV Aerial Images Unresolved cited work

Reference 30

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Source-reported events for the cited work

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Observation ab8109d7-e470-4401-a68f-24dc170b90e6 · outbound

This paper cites an unresolved cited work.

Leveraging Self-Supervised Features for Efficient Flooded Region Identification in UAV Aerial Images Unresolved cited work

Reference 31

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Observation 60761a62-8371-403b-a2e3-1e196d21604b · outbound

This paper cites an unresolved cited work.

Leveraging Self-Supervised Features for Efficient Flooded Region Identification in UAV Aerial Images Unresolved cited work

Reference 32

Resolution: verified exact; doi, observed 2026-08-06T19:42:34.057010Z

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Observation b725fb79-0f22-487f-bb25-315c6bb1fb6c · outbound

This paper cites an unresolved cited work.

Leveraging Self-Supervised Features for Efficient Flooded Region Identification in UAV Aerial Images Unresolved cited work

Reference 33

Resolution: verified exact; doi, observed 2026-08-06T19:42:34.046206Z

Source-reported events for the cited work

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Observation 9e6e3825-116f-4cca-b2af-db473283b6de · outbound

This paper cites an unresolved cited work.

Leveraging Self-Supervised Features for Efficient Flooded Region Identification in UAV Aerial Images Unresolved cited work

Reference 34

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Leveraging Self-Supervised Features for Efficient Flooded Region Identification in UAV Aerial Images & Chen, G

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-06T19:42:33.930344Z

Source-reported events for the cited work

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Observation 4e27350a-4775-484d-9e5e-d30d06effe8d · outbound

This paper cites A review of flood damage analysis for a building structure and contents.

Leveraging Self-Supervised Features for Efficient Flooded Region Identification in UAV Aerial Images A review of flood damage analysis for a building structure and contents

Reference 36

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Source-reported events for the cited work

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Observation 104e505b-a391-4831-bc88-b23db6c10590 · outbound

This paper cites & Fukushi, K.

Leveraging Self-Supervised Features for Efficient Flooded Region Identification in UAV Aerial Images & Fukushi, K

Reference 37

Resolution: verified exact; doi, observed 2026-08-06T19:42:34.035422Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation bcc8c512-e6ca-4041-a829-064260d2d03e · outbound

This paper cites From Satellite Imagery to Disaster Insights.

Leveraging Self-Supervised Features for Efficient Flooded Region Identification in UAV Aerial Images From Satellite Imagery to Disaster Insights

Reference 38

Resolution: verified exact; local_arxiv, observed 2026-08-06T19:42:34.520611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 334a4e0b-d6ed-4677-839f-89d00f01ec0f · outbound

This paper cites Recent trends and challenges in analysis of uav aerial images for post-disaster scene understanding.

Leveraging Self-Supervised Features for Efficient Flooded Region Identification in UAV Aerial Images Recent trends and challenges in analysis of uav aerial images for post-disaster scene understanding

Reference 39

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Observation f3d463e2-f223-40a3-8ca0-a83e5b7b0a67 · outbound

This paper cites & Verma, U.

Leveraging Self-Supervised Features for Efficient Flooded Region Identification in UAV Aerial Images & Verma, U

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-06T19:42:33.949340Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f9602b31-4ff4-4e64-b479-64b69db1bb33 · outbound

This paper cites & Hauptmann, A.

Leveraging Self-Supervised Features for Efficient Flooded Region Identification in UAV Aerial Images & Hauptmann, A

Reference 41

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Source-reported events for the cited work

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Observation 6e6f7e3a-eddc-4344-afdb-5861e5af69d7 · outbound

This paper cites an unresolved cited work.

Leveraging Self-Supervised Features for Efficient Flooded Region Identification in UAV Aerial Images Unresolved cited work

Reference 42

Resolution: verified exact; doi, observed 2026-08-06T19:42:34.024696Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 87bbc96a-f084-48d7-9c84-a8fa081db376 · outbound

This paper cites an unresolved cited work.

Leveraging Self-Supervised Features for Efficient Flooded Region Identification in UAV Aerial Images Unresolved cited work

Reference 43

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d22fbc5a-3d1c-46f0-aa44-d82ebb46f012 · outbound

This paper cites & Doll´ar, P.

Leveraging Self-Supervised Features for Efficient Flooded Region Identification in UAV Aerial Images & Doll´ar, P

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:42:35.456064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation afa7c5db-951e-42a2-b0b1-c01b372c2e25 · outbound

This paper cites H., Li, W., Vercauteren, T., Ourselin, S.

Leveraging Self-Supervised Features for Efficient Flooded Region Identification in UAV Aerial Images H., Li, W., Vercauteren, T., Ourselin, S

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:42:35.447005Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8e4f2244-f3c4-4f90-9933-9f96d9ce2101 · outbound

This paper cites ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation.

Leveraging Self-Supervised Features for Efficient Flooded Region Identification in UAV Aerial Images ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation

Reference 46

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Source-reported events for the cited work

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Observation 5bea1003-42e4-4b5d-97c7-e932eb5d6fe1 · outbound

This paper cites an unresolved cited work.

Leveraging Self-Supervised Features for Efficient Flooded Region Identification in UAV Aerial Images Unresolved cited work

Reference 47

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2bfe34c3-19dd-472d-b0c6-8bdd0e3534f3 · outbound

This paper cites an unresolved cited work.

Leveraging Self-Supervised Features for Efficient Flooded Region Identification in UAV Aerial Images Unresolved cited work

Reference 48

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.