Paper Citation Record · LEDGER

Applying Machine Learning Tools for Urban Resilience Against Floods

As of 13 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 0 inbound Pith citation observations for arXiv:2412.06205.

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

pith.paper-citation-record.v1
2412.06205 v1

Coverage vector

measured 45 of 45 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T19:59:06.768708Z

measured 45 of 45 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+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

45 of 45 outbound references displayed

verified exact1
verified fuzzy41
unresolved3
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 369c3754-e544-45f0-abfc-5810e0466351 · outbound

This paper cites & Ab- basi, M.

Applying Machine Learning Tools for Urban Resilience Against Floods & Ab- basi, M

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:59:07.647726Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 05bce9af-b08a-43ef-bd93-6cc73b016504 · outbound

This paper cites & Talebbeydokhti, N.

Applying Machine Learning Tools for Urban Resilience Against Floods & Talebbeydokhti, N

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:59:07.634320Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 34124522-3122-4c95-a7df-a5068d62a70a · outbound

This paper cites Norouzi, H.

Applying Machine Learning Tools for Urban Resilience Against Floods Norouzi, H

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:59:07.619017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation c58e9011-fdf4-4974-abb1-b653c97c00ad · outbound

This paper cites Liang, P.

Applying Machine Learning Tools for Urban Resilience Against Floods Liang, P

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:59:07.602889Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation b2ad577b-6647-43ce-b090-a3664e4dd331 · outbound

This paper cites an unresolved cited work.

Applying Machine Learning Tools for Urban Resilience Against Floods Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-08-11T19:59:07.581384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation c0d22019-d586-4b11-a4ef-306a67953691 · outbound

This paper cites ”Climate change to blame for the devastating drought in Syria, Iraq and Iran.” Imperial College London News , 2023.

Applying Machine Learning Tools for Urban Resilience Against Floods ”Climate change to blame for the devastating drought in Syria, Iraq and Iran.” Imperial College London News , 2023

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:59:07.558059Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 332cd3c5-9531-459f-a0f2-65a3f8f60032 · outbound

This paper cites ”Urban infrastructure and resilience planning: Insights from Tehran’s District 6.” Journal of Resilient Cities, vol.

Applying Machine Learning Tools for Urban Resilience Against Floods ”Urban infrastructure and resilience planning: Insights from Tehran’s District 6.” *Journal of Resilient Cities*, vol

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:59:07.539819Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 40fcd6d2-2b9e-49b6-8f37-8f11b5acc465 · outbound

This paper cites ”Resilience in urban planning: Case studies from Tehran.” Urban Sustainability, vol.

Applying Machine Learning Tools for Urban Resilience Against Floods ”Resilience in urban planning: Case studies from Tehran.” *Urban Sustainability*, vol

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:59:07.519919Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 79e61c0a-0a69-48bf-8001-6d392880945f · outbound

This paper cites Applied hydrology.

Applying Machine Learning Tools for Urban Resilience Against Floods Applied hydrology

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:59:07.498510Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 42e556ab-3d93-4a5d-b7e9-890a3d2d116c · outbound

This paper cites ”Flood Risk Management and Resilience Planning.” Environmental Science and Policy, vol.

Applying Machine Learning Tools for Urban Resilience Against Floods ”Flood Risk Management and Resilience Planning.” *Environmental Science and Policy*, vol

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:59:07.477346Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 780eeafb-b4be-42c3-822f-a88fbf349735 · outbound

This paper cites ”Classification and Impacts of Flooding Events: A Global Perspective.” Journal of Hydrology and Water Resources, vol.

Applying Machine Learning Tools for Urban Resilience Against Floods ”Classification and Impacts of Flooding Events: A Global Perspective.” *Journal of Hydrology and Water Resources*, vol

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:59:07.450159Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation f878bc35-dd1f-42f5-bbeb-6c61c2f06437 · outbound

This paper cites ”Flood Types and Urban Plan- ning: Analyzing Hydrographic Data.” Urban Environmental Studies, vol.

Applying Machine Learning Tools for Urban Resilience Against Floods ”Flood Types and Urban Plan- ning: Analyzing Hydrographic Data.” *Urban Environmental Studies*, vol

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:59:07.417171Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation a25c70c2-41b4-4b94-83bb-25805cc38be3 · outbound

This paper cites & Lamond, J.

Applying Machine Learning Tools for Urban Resilience Against Floods & Lamond, J

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:59:07.395449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation f6cd6e60-a917-4c4f-a681-3fd56fc7e36e · outbound

This paper cites ”The Impact of Historical Flooding Events on Urban Development and Population Displacement.” Environmental Hazards Review, vol.

Applying Machine Learning Tools for Urban Resilience Against Floods ”The Impact of Historical Flooding Events on Urban Development and Population Displacement.” *Environmental Hazards Review*, vol

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:59:07.360286Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 5d496cba-72f4-45d6-87ca-23ada9239314 · outbound

This paper cites & Simonovic, S.

Applying Machine Learning Tools for Urban Resilience Against Floods & Simonovic, S

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:59:07.342059Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation cf91150b-e009-4d7b-bc49-e1e6b5847eef · outbound

This paper cites & Others Urban flood resilience assessment & stormwater management (case study: District 6 of Tehran).

Applying Machine Learning Tools for Urban Resilience Against Floods & Others Urban flood resilience assessment & stormwater management (case study: District 6 of Tehran)

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:59:07.320141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 71301025-9e98-4653-bcba-831ee35cebdf · outbound

This paper cites & Others Developing a resilience index towards natural disasters in Indonesia.

Applying Machine Learning Tools for Urban Resilience Against Floods & Others Developing a resilience index towards natural disasters in Indonesia

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:59:07.300652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 66e1cb4e-611c-43a2-9511-bde764ef1578 · outbound

This paper cites an unresolved cited work.

Applying Machine Learning Tools for Urban Resilience Against Floods Unresolved cited work

Reference 18

Resolution: unresolved; raw_fallback, observed 2026-08-11T19:59:07.277165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 57cb75b6-cf29-4a77-8ace-d9a3854d733a · outbound

This paper cites & Bryant, M.

Applying Machine Learning Tools for Urban Resilience Against Floods & Bryant, M

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:59:07.260396Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 36f00bb2-3446-42b4-a1f1-a75ea42c7dc3 · outbound

This paper cites & Moench, M.

Applying Machine Learning Tools for Urban Resilience Against Floods & Moench, M

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:59:07.242673Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation a3d7c94a-b893-469b-8a8f-327502bdf304 · outbound

This paper cites & Emrich, C.

Applying Machine Learning Tools for Urban Resilience Against Floods & Emrich, C

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:59:07.219870Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 0ab7eec2-cebb-4fa6-8469-98530b062c0d · outbound

This paper cites & Arendt, L.

Applying Machine Learning Tools for Urban Resilience Against Floods & Arendt, L

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:59:07.196371Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 2f0dba55-6a27-4d3c-83c4-d08c0365ad10 · outbound

This paper cites & Peck, A.

Applying Machine Learning Tools for Urban Resilience Against Floods & Peck, A

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:59:07.180998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation ebd7086f-bef9-4559-ab78-4e2f8f57af2c · outbound

This paper cites & Aharonson-Daniel, L.

Applying Machine Learning Tools for Urban Resilience Against Floods & Aharonson-Daniel, L

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:59:07.167409Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation a3f4d9f9-e848-4917-aabb-2b2ee9716ca3 · outbound

This paper cites & Dezzani, R.

Applying Machine Learning Tools for Urban Resilience Against Floods & Dezzani, R

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:59:07.150885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation e2de0a11-f94a-4648-8742-48465da77f7e · outbound

This paper cites Foundations of community disaster resilience: Well-being, identity, services, and capitals.

Applying Machine Learning Tools for Urban Resilience Against Floods Foundations of community disaster resilience: Well-being, identity, services, and capitals

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:59:07.134685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 5bc22798-e75d-43d1-8926-089ddc9f275e · outbound

This paper cites & Malik, A.

Applying Machine Learning Tools for Urban Resilience Against Floods & Malik, A

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:59:07.121185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation bec8a39e-7b6d-431f-b7e1-a7974b3ce943 · outbound

This paper cites & Chopra, S.

Applying Machine Learning Tools for Urban Resilience Against Floods & Chopra, S

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:59:07.107708Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 6c22fc70-9714-4df7-a028-f4e52a5733b8 · outbound

This paper cites ”Urban Hazard Mitigation: Creating Resilient Cities.” Natural Hazards Review, vol.

Applying Machine Learning Tools for Urban Resilience Against Floods ”Urban Hazard Mitigation: Creating Resilient Cities.” *Natural Hazards Review*, vol

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:59:07.088098Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation ab72df13-31d3-402d-a111-8828707a0152 · outbound

This paper cites & Maknoon, R.

Applying Machine Learning Tools for Urban Resilience Against Floods & Maknoon, R

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:59:07.072195Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 9a5461d1-52c6-45c9-ab8b-635ffdd90479 · outbound

This paper cites Overcoming Dimensional Collapse in Self-supervised Contrastive Learning for Medical Image Segmentation.

Applying Machine Learning Tools for Urban Resilience Against Floods Overcoming Dimensional Collapse in Self-supervised Contrastive Learning for Medical Image Segmentation

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-11T19:59:06.680265Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5943ff02-c98b-4732-96ee-8f28382877a6 · outbound

This paper cites ”Community Resilience and Flood Prevention: Integrating Social and Environmental Indicators.” International Journal of Disaster Risk Reduction, vol.

Applying Machine Learning Tools for Urban Resilience Against Floods ”Community Resilience and Flood Prevention: Integrating Social and Environmental Indicators.” *International Journal of Disaster Risk Reduction*, vol

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:59:07.057317Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 425d00fd-1a8d-41f2-ab1d-5751b728187a · outbound

This paper cites & Shaw, R.

Applying Machine Learning Tools for Urban Resilience Against Floods & Shaw, R

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:59:07.037784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation eee62c09-df21-4a1f-805b-24f728887c82 · outbound

This paper cites & Sasan, A.

Applying Machine Learning Tools for Urban Resilience Against Floods & Sasan, A

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:59:07.018959Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 4e024cef-3f7a-45d9-9210-8a56f05dd8cf · outbound

This paper cites & Sasan, A.

Applying Machine Learning Tools for Urban Resilience Against Floods & Sasan, A

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:59:07.002194Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 347f9b96-fd7c-4945-93d8-35f12cb49d5e · outbound

This paper cites & Schmidhuber, J.

Applying Machine Learning Tools for Urban Resilience Against Floods & Schmidhuber, J

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:59:06.974651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation aeab8320-1805-456a-badb-7fc633ef06ee · outbound

This paper cites & Runger, G.

Applying Machine Learning Tools for Urban Resilience Against Floods & Runger, G

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:59:06.959843Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation ba6181c3-82d8-49d2-9c47-942f8db59a41 · outbound

This paper cites & Stone, C.

Applying Machine Learning Tools for Urban Resilience Against Floods & Stone, C

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:59:06.945632Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 55dca968-95bc-450f-b29a-f2e6ebd2aeda · outbound

This paper cites The Random Subspace Method for Constructing Decision Forests.

Applying Machine Learning Tools for Urban Resilience Against Floods The Random Subspace Method for Constructing Decision Forests

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:59:06.930495Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 18603d93-51e9-49d5-ae66-9f5b6444b296 · outbound

This paper cites Greedy Function Approximation: A Gradient Boosting Machine.

Applying Machine Learning Tools for Urban Resilience Against Floods Greedy Function Approximation: A Gradient Boosting Machine

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:59:06.914802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation a863027c-ec3b-4954-b201-f26bd1dc0341 · outbound

This paper cites New Introduction to Multiple Time Series Analysis.

Applying Machine Learning Tools for Urban Resilience Against Floods New Introduction to Multiple Time Series Analysis

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:59:06.901877Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation a22562bf-d9a2-4c7f-bf22-31b8d3f8862e · outbound

This paper cites & Kashi, A.

Applying Machine Learning Tools for Urban Resilience Against Floods & Kashi, A

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:59:06.883011Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation bf95fbbb-6b97-46af-9c54-8f1674d27ee4 · outbound

This paper cites & Ghiasi, M.

Applying Machine Learning Tools for Urban Resilience Against Floods & Ghiasi, M

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:59:06.865448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation b34e6d2e-1820-497a-ad37-f9a2012df229 · outbound

This paper cites Novel Saliency Analysis for the Forward Forward Algorithm.

Applying Machine Learning Tools for Urban Resilience Against Floods Novel Saliency Analysis for the Forward Forward Algorithm

Reference 44

Resolution: verified exact; local_arxiv, observed 2026-08-11T19:59:06.813650Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation c548f5d1-1128-482a-a0a4-ad27df82286b · outbound

This paper cites & Sasan, A.

Applying Machine Learning Tools for Urban Resilience Against Floods & Sasan, A

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:59:06.848291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Pith citing papers

No inbound Pith citation observations are available.