Paper Citation Record · LEDGER

Validating Terrain Models in Digital Twins for Trustworthy sUAS Operations

As of 12 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 0 inbound Pith citation observations for arXiv:2508.16104.

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

pith.paper-citation-record.v1
2508.16104 v1

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T17:36:46.663401Z

measured 39 of 39 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

39 of 39 outbound references displayed

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verified fuzzy28
unresolved6
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 06abb62f-b949-4db1-847d-5891526db55d · outbound

This paper cites Annual nlcd (national land cover database) — the next generation of land cover mapping,.

Validating Terrain Models in Digital Twins for Trustworthy sUAS Operations Annual nlcd (national land cover database) — the next generation of land cover mapping,

Reference 1

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Observation 84449bd1-cbdc-445d-b220-48612a0f4c8f · outbound

This paper cites Nhdplus high resolution (nhdplus hr),.

Validating Terrain Models in Digital Twins for Trustworthy sUAS Operations Nhdplus high resolution (nhdplus hr),

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:36:52.745664Z

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Observation 9f19eaca-0e74-43fd-87cc-2db8110e773d · outbound

This paper cites Land-coverage aware path-planning for multi-uav swarms in search and rescue scenarios,.

Validating Terrain Models in Digital Twins for Trustworthy sUAS Operations Land-coverage aware path-planning for multi-uav swarms in search and rescue scenarios,

Reference 3

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Observation eca2d819-f82b-492b-9e0d-057a79b09ca5 · outbound

This paper cites On the notion of digital twins: A modeling perspective,.

Validating Terrain Models in Digital Twins for Trustworthy sUAS Operations On the notion of digital twins: A modeling perspective,

Reference 4

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Observation f14ed260-84dc-4c14-b893-26525f283126 · outbound

This paper cites The 3d elevation program and energy for the nation,.

Validating Terrain Models in Digital Twins for Trustworthy sUAS Operations The 3d elevation program and energy for the nation,

Reference 5

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Observation 5352f861-e070-4d67-95ab-8affb24f1235 · outbound

This paper cites The national map - transportation datasets,.

Validating Terrain Models in Digital Twins for Trustworthy sUAS Operations The national map - transportation datasets,

Reference 6

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Observation 3426de7f-651f-4814-9254-e9df6399458b · outbound

This paper cites Hyriver: Hydroclimate data retriever,.

Validating Terrain Models in Digital Twins for Trustworthy sUAS Operations Hyriver: Hydroclimate data retriever,

Reference 7

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Observation 02b4b7d7-075d-4850-9bb0-dda77041fda1 · outbound

This paper cites STR: A simple and efficient algorithm for R-tree packing,.

Validating Terrain Models in Digital Twins for Trustworthy sUAS Operations STR: A simple and efficient algorithm for R-tree packing,

Reference 8

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Observation 6f0909e7-1f0e-4bb3-be44-5f5dfa06d28f · outbound

This paper cites GEOS Computational Geometry Library,.

Validating Terrain Models in Digital Twins for Trustworthy sUAS Operations GEOS Computational Geometry Library,

Reference 9

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Observation 7a7c82c2-d767-4e44-9812-1dda49775e1d · outbound

This paper cites JTS Topology Suite,.

Validating Terrain Models in Digital Twins for Trustworthy sUAS Operations JTS Topology Suite,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:36:51.417285Z

Source-reported events for the cited work

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Observation 118f38ff-6687-4f29-963d-89c2f2063b1b · outbound

This paper cites JTS Topology Suite,.

Validating Terrain Models in Digital Twins for Trustworthy sUAS Operations JTS Topology Suite,

Reference 11

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Source-reported events for the cited work

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Observation 79ef6de0-6718-4ac6-b159-9bfcdc7d1963 · outbound

This paper cites Mapbox api documentation,.

Validating Terrain Models in Digital Twins for Trustworthy sUAS Operations Mapbox api documentation,

Reference 12

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Observation c3b296ec-98f5-4c5d-8e16-f0f24da2a718 · outbound

This paper cites Rethinking atrous convolution for semantic image segmentation,.

Validating Terrain Models in Digital Twins for Trustworthy sUAS Operations Rethinking atrous convolution for semantic image segmentation,

Reference 13

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Observation 45278c86-b4be-4698-adda-d240292f2fea · outbound

This paper cites Landcover.ai: Dataset for automatic mapping of build- ings, woodlands, water and roads from aerial imagery,.

Validating Terrain Models in Digital Twins for Trustworthy sUAS Operations Landcover.ai: Dataset for automatic mapping of build- ings, woodlands, water and roads from aerial imagery,

Reference 14

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Observation 00c25ca2-8f6e-471d-8345-781137098147 · outbound

This paper cites NOMAD: A natural, occluded, multi-scale aerial dataset, for emergency response scenarios,.

Validating Terrain Models in Digital Twins for Trustworthy sUAS Operations NOMAD: A natural, occluded, multi-scale aerial dataset, for emergency response scenarios,

Reference 15

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Observation be86bd50-7dd6-4474-b4cf-eda253974695 · outbound

This paper cites The next generation of human-drone partnerships: Co-designing an emer- gency response system,.

Validating Terrain Models in Digital Twins for Trustworthy sUAS Operations The next generation of human-drone partnerships: Co-designing an emer- gency response system,

Reference 16

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Observation eee73ae2-7106-43b4-b18d-ce09f0be4be5 · outbound

This paper cites Nav- igating the black box: Operational lenses for AI-enabled drone governance,.

Validating Terrain Models in Digital Twins for Trustworthy sUAS Operations Nav- igating the black box: Operational lenses for AI-enabled drone governance,

Reference 17

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Observation 9f83014c-278a-4e74-88b7-e64dadad2540 · outbound

This paper cites Controlling software projects,.

Validating Terrain Models in Digital Twins for Trustworthy sUAS Operations Controlling software projects,

Reference 18

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Source-reported events for the cited work

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Observation 4833aff4-f5c1-4605-865e-4c307c8274e5 · outbound

This paper cites Human–machine teaming with small unmanned aerial systems in a mape-k environment,.

Validating Terrain Models in Digital Twins for Trustworthy sUAS Operations Human–machine teaming with small unmanned aerial systems in a mape-k environment,

Reference 19

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Observation 09d18a5c-f5ec-4cfd-97b9-83d4cb8dbb91 · outbound

This paper cites Self-adaptation of loosely coupled systems across a system of small uncrewed aerial sys- tems,.

Validating Terrain Models in Digital Twins for Trustworthy sUAS Operations Self-adaptation of loosely coupled systems across a system of small uncrewed aerial sys- tems,

Reference 20

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Observation 37652b2b-a907-4407-8a13-8128c796dd78 · outbound

This paper cites Cognitive Guardrails for Open-World Decision Making in Autonomous Drone Swarms.

Validating Terrain Models in Digital Twins for Trustworthy sUAS Operations Cognitive Guardrails for Open-World Decision Making in Autonomous Drone Swarms

Reference 21

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Observation 65a942f0-62ca-42f9-a38a-109d55c62d6d · outbound

This paper cites An environmentally complex requirement for safe separation distance between uavs,.

Validating Terrain Models in Digital Twins for Trustworthy sUAS Operations An environmentally complex requirement for safe separation distance between uavs,

Reference 22

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Validating Terrain Models in Digital Twins for Trustworthy sUAS Operations Unresolved cited work

Reference 23

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Observation 97b0d876-ed7d-40da-b64d-bfe6e76545b4 · outbound

This paper cites Psych- occlusion: Using visual psychophysics for aerial detection of occluded persons during search and rescue,.

Validating Terrain Models in Digital Twins for Trustworthy sUAS Operations Psych- occlusion: Using visual psychophysics for aerial detection of occluded persons during search and rescue,

Reference 24

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Observation 6d621d98-39f8-4dff-b995-0805c45513c2 · outbound

This paper cites Hierarchically organized computer vision in support of multi-faceted search for missing persons,.

Validating Terrain Models in Digital Twins for Trustworthy sUAS Operations Hierarchically organized computer vision in support of multi-faceted search for missing persons,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:36:49.453757Z

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Observation 9c19a869-ff93-48f3-bccd-933163af1fc7 · outbound

This paper cites Region proposal approach for human detection on aerial imagery,.

Validating Terrain Models in Digital Twins for Trustworthy sUAS Operations Region proposal approach for human detection on aerial imagery,

Reference 26

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This paper cites Deep learning approach in aerial imagery for supporting land search and rescue missions,.

Validating Terrain Models in Digital Twins for Trustworthy sUAS Operations Deep learning approach in aerial imagery for supporting land search and rescue missions,

Reference 27

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Observation f4dcf5cc-e179-4b9c-918e-14a4a0873c59 · outbound

This paper cites Automatic person detection in search and rescue operations using deep cnn detectors,.

Validating Terrain Models in Digital Twins for Trustworthy sUAS Operations Automatic person detection in search and rescue operations using deep cnn detectors,

Reference 28

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Observation 95812951-0e96-41c8-84d8-8637b7c7e38b · outbound

This paper cites Ultralytics yolo11,.

Validating Terrain Models in Digital Twins for Trustworthy sUAS Operations Ultralytics yolo11,

Reference 29

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This paper cites Van Brummelen, Heavenly mathematics: The forgotten art of spher- ical trigonometry.

Validating Terrain Models in Digital Twins for Trustworthy sUAS Operations Van Brummelen, Heavenly mathematics: The forgotten art of spher- ical trigonometry

Reference 30

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This paper cites Autonomous driving validation and verification using digital twins.

Validating Terrain Models in Digital Twins for Trustworthy sUAS Operations Autonomous driving validation and verification using digital twins

Reference 31

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This paper cites Verification and validation for a digital twin for augmenting current sora practices with air-to-air collision hazards prediction from small uncooperative flying objects,.

Validating Terrain Models in Digital Twins for Trustworthy sUAS Operations Verification and validation for a digital twin for augmenting current sora practices with air-to-air collision hazards prediction from small uncooperative flying objects,

Reference 32

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Observation 48165278-d7cd-4d1b-bdba-ef058cb9c3ec · outbound

This paper cites Design of virtual- real cooperative flight testbed for multiple unmanned aerial vehicles,.

Validating Terrain Models in Digital Twins for Trustworthy sUAS Operations Design of virtual- real cooperative flight testbed for multiple unmanned aerial vehicles,

Reference 33

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This paper cites A Step-by-Step Guide to Creating a Robust Autonomous Drone Testing Pipeline.

Validating Terrain Models in Digital Twins for Trustworthy sUAS Operations A Step-by-Step Guide to Creating a Robust Autonomous Drone Testing Pipeline

Reference 34

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Validating Terrain Models in Digital Twins for Trustworthy sUAS Operations Testing and validation framework for autonomous aerial vehicles,

Reference 35

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Observation d4622b3b-e7f7-40f7-894b-4f75241f264a · outbound

This paper cites Generating edge cases for testing autonomous vehicles using real-world data,.

Validating Terrain Models in Digital Twins for Trustworthy sUAS Operations Generating edge cases for testing autonomous vehicles using real-world data,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:36:48.021173Z

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This paper cites An open-source uav digital twin framework: A case study on remote sensing in the andean mountains,.

Validating Terrain Models in Digital Twins for Trustworthy sUAS Operations An open-source uav digital twin framework: A case study on remote sensing in the andean mountains,

Reference 37

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Observation a6df800f-7bce-4a05-a774-f610b5b3406c · outbound

This paper cites Available: https://doi.org/10.3133/fs20193051.

Validating Terrain Models in Digital Twins for Trustworthy sUAS Operations Available: https://doi.org/10.3133/fs20193051

Reference 2020

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Observation 11351b68-e339-498f-b4fb-e6caba52706a · outbound

This paper cites Coverage Path Planning for Holonomic UAVs via Uniaxial-Feasible, Gap-Severity Guided Decomposition.

Validating Terrain Models in Digital Twins for Trustworthy sUAS Operations Coverage Path Planning for Holonomic UAVs via Uniaxial-Feasible, Gap-Severity Guided Decomposition

Reference 2025

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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.