Paper Citation Record · LEDGER

Accelerating Post-Tornado Disaster Assessment Using Advanced Deep Learning Models

As of 11 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 0 inbound Pith citation observations for arXiv:2412.18147.

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

pith.paper-citation-record.v1
2412.18147 v1

Coverage vector

measured 14 of 14 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T05:02:50.564428Z

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+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

14 of 14 outbound references displayed

verified exact4
verified fuzzy3
unresolved7
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f838baaf-8ec5-4cce-8936-ba05d8f0ec82 · outbound

This paper cites an unresolved cited work.

Accelerating Post-Tornado Disaster Assessment Using Advanced Deep Learning Models Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-08-11T05:02:51.084374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 522731c1-4e5c-4d24-a5de-685ce94032e8 · outbound

This paper cites an unresolved cited work.

Accelerating Post-Tornado Disaster Assessment Using Advanced Deep Learning Models Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-11T05:02:51.067316Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 28ab1dd7-c210-4271-af31-22a6168c96d6 · outbound

This paper cites These techniques were applied dynamically during the training process through a custom data generator.

Accelerating Post-Tornado Disaster Assessment Using Advanced Deep Learning Models These techniques were applied dynamically during the training process through a custom data generator

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:02:51.049958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation e100335c-bf79-4559-9dc5-157773fc5fb2 · outbound

This paper cites This approach enhances the model's ability to accurately detect damage across different contexts.

Accelerating Post-Tornado Disaster Assessment Using Advanced Deep Learning Models This approach enhances the model's ability to accurately detect damage across different contexts

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:02:51.032179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation d18c3ca8-7901-48ff-9633-5ce1e3c535af · outbound

This paper cites Lisa” Wang et al., “Application of Multidisciplinary Community Resilience Modeling to Reduce Disaster Risk: Building Back Better,.

Accelerating Post-Tornado Disaster Assessment Using Advanced Deep Learning Models Lisa” Wang et al., “Application of Multidisciplinary Community Resilience Modeling to Reduce Disaster Risk: Building Back Better,

Reference 5

Resolution: verified exact; doi, observed 2026-08-11T05:02:50.656457Z

Source-reported events for the cited work

correction dated 2024-05-30. Source: crossref record 10.1061/jpcfev.cfeng-4904->10.1061/jpcfev.cfeng-4650:correction, observed 2026-07-11T02:56:12.201922+00:00. This notice travels one citation hop only.

Observation 8b647747-498d-4640-b5f5-9f8cb2c477bf · outbound

This paper cites Interdisciplinary data collection for empirical community-level recovery modelling,.

Accelerating Post-Tornado Disaster Assessment Using Advanced Deep Learning Models Interdisciplinary data collection for empirical community-level recovery modelling,

Reference 6

Resolution: verified exact; raw_fallback, observed 2026-08-11T05:02:50.996558Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation b3b7b8ce-f57d-4b6e-9080-b1aa1de88658 · outbound

This paper cites Turning Disaster into Knowledge in Geotechnical Earthquake Engineering,.

Accelerating Post-Tornado Disaster Assessment Using Advanced Deep Learning Models Turning Disaster into Knowledge in Geotechnical Earthquake Engineering,

Reference 7

Resolution: verified exact; doi, observed 2026-08-11T05:02:50.640373Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 1bf9aa87-1c63-465d-8034-8fdfe192676f · outbound

This paper cites An uncertainty-aware framework for reliable disaster damage assessment via crowdsourcing,.

Accelerating Post-Tornado Disaster Assessment Using Advanced Deep Learning Models An uncertainty-aware framework for reliable disaster damage assessment via crowdsourcing,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-11T05:02:50.530472Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 091b3416-2e2d-47d6-81b8-cd43d8565f40 · outbound

This paper cites A systematic review of trustworthy artificial intelligence applications in natural disasters,.

Accelerating Post-Tornado Disaster Assessment Using Advanced Deep Learning Models A systematic review of trustworthy artificial intelligence applications in natural disasters,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-11T05:02:50.536464Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 252f3998-643e-4b2a-ba44-bb6502f06237 · outbound

This paper cites Building structural analysis based Internet of Things network assisted earthquake detection,.

Accelerating Post-Tornado Disaster Assessment Using Advanced Deep Learning Models Building structural analysis based Internet of Things network assisted earthquake detection,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-11T05:02:50.542776Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cf747eb2-9988-4b92-9507-9bca3c44e6a5 · outbound

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

Accelerating Post-Tornado Disaster Assessment Using Advanced Deep Learning Models You Only Look Once: Unified, Real-Time Object Detection,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-11T05:02:50.548527Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 19079cb3-ba15-4867-885f-698b984aa70e · outbound

This paper cites Deep Residual Learning for Image Recognition,.

Accelerating Post-Tornado Disaster Assessment Using Advanced Deep Learning Models Deep Residual Learning for Image Recognition,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-11T05:02:50.554255Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 11a9adee-461b-4fb1-970b-846510aa5e39 · outbound

This paper cites Rapid Disaster Data Dissemination and Vulnerability Assessment through Synthesis of a Web‐Based Extreme Event Viewer and Deep Learning,.

Accelerating Post-Tornado Disaster Assessment Using Advanced Deep Learning Models Rapid Disaster Data Dissemination and Vulnerability Assessment through Synthesis of a Web‐Based Extreme Event Viewer and Deep Learning,

Reference 13

Resolution: verified exact; doi, observed 2026-08-11T05:02:50.602546Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 1716b7b2-8cd3-4511-ac1f-34a3944ed452 · outbound

This paper cites Tornado damage assessment in the aftermath of the May 20th 2013 Moore Oklahoma tornado,.

Accelerating Post-Tornado Disaster Assessment Using Advanced Deep Learning Models Tornado damage assessment in the aftermath of the May 20th 2013 Moore Oklahoma tornado,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:02:51.014515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Pith citing papers

No inbound Pith citation observations are available.