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Paper Citation Record · LEDGER

Location Prior Generation via Multi-Source Urban Data Fusion for Low-Altitude Air Mobility

As of 20 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 0 inbound Pith citation observations for arXiv:2605.25530.

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

pith.paper-citation-record.v1
2605.25530 v2

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measured 25 of 25 reference resolution

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Source: paper_references, paper_reference_links, observed 2026-08-02T13:13:30.107502Z

measured 25 of 25 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

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measured 0 of 1 external citation measurements

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25 of 25 outbound references displayed

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Outbound references

Observation 406de859-209e-45ed-a850-e43ffa21fe73 · outbound

This paper cites OpenStreetMap Database,.

Location Prior Generation via Multi-Source Urban Data Fusion for Low-Altitude Air Mobility OpenStreetMap Database,

Reference 1

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source=pdf_text observed=2026-08-02T13:13:26.760948Z digest=sha256:947fe5ebf750f5d64e9a202dcd896a23f991b1ed777e114b96b4394a5b5a18bf

Observation 422dcc38-b398-46f3-95d6-3c7d5dbe8664 · outbound

This paper cites A spatio-temporal analysis investigating completeness and inequalities of global urban building data in OpenStreetMap,.

Location Prior Generation via Multi-Source Urban Data Fusion for Low-Altitude Air Mobility A spatio-temporal analysis investigating completeness and inequalities of global urban building data in OpenStreetMap,

Reference 2

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Observation 8158f1c5-570d-4e59-8485-9e2c87efed53 · outbound

This paper cites Emerging urban challenge: RPAS/UA Vs in cities,.

Location Prior Generation via Multi-Source Urban Data Fusion for Low-Altitude Air Mobility Emerging urban challenge: RPAS/UA Vs in cities,

Reference 3

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Observation 612e132c-7b53-4be6-ae9f-75ce4f3e6667 · outbound

This paper cites Age of information in UA V- assisted real-time IoT systems with obstacle avoidance,.

Location Prior Generation via Multi-Source Urban Data Fusion for Low-Altitude Air Mobility Age of information in UA V- assisted real-time IoT systems with obstacle avoidance,

Reference 4

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source=pdf_text observed=2026-08-02T13:13:27.061878Z digest=sha256:d29c4e582728bde3328974747d560aee4b7b91561b3720cbae8308e6233e9b82

Observation d85748d5-ddcb-4db0-9077-93661325d224 · outbound

This paper cites V osselman and H.-G.

Location Prior Generation via Multi-Source Urban Data Fusion for Low-Altitude Air Mobility V osselman and H.-G

Reference 5

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source=pdf_text observed=2026-08-02T13:13:27.138011Z digest=sha256:2335b781248fe60c80b7108cf1155e46b1eb59cfcabbfa0db18a3ac3736ea543

Observation 700bf06e-497e-4a1b-8a83-c75c9c01b95e · outbound

This paper cites ‘Structure-from-Motion’ photogrammetry: A low-cost, effective tool for geoscience applications,.

Location Prior Generation via Multi-Source Urban Data Fusion for Low-Altitude Air Mobility ‘Structure-from-Motion’ photogrammetry: A low-cost, effective tool for geoscience applications,

Reference 6

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Observation fc13366a-ee5f-4398-ba9c-18a7c4ba25e1 · outbound

This paper cites National-scale mapping of building height using Sentinel-1 and Sentinel-2 time series,.

Location Prior Generation via Multi-Source Urban Data Fusion for Low-Altitude Air Mobility National-scale mapping of building height using Sentinel-1 and Sentinel-2 time series,

Reference 7

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Observation ec7b2edc-1058-4393-b994-4146a4c91a46 · outbound

This paper cites Building Height Estimation Using Shadow Length in Satellite Imagery.

Location Prior Generation via Multi-Source Urban Data Fusion for Low-Altitude Air Mobility Building Height Estimation Using Shadow Length in Satellite Imagery

Reference 8

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source=pdf_text observed=2026-08-02T13:13:27.534670Z digest=sha256:238f6a7f348983656455e9b32ff55a1a5be2ed9763f1c9343f605683d8c25d33

Observation 4b473473-8cb7-4e00-8f76-1a6166e311e0 · outbound

This paper cites Shadow detection and building- height estimation using IKONOS data,.

Location Prior Generation via Multi-Source Urban Data Fusion for Low-Altitude Air Mobility Shadow detection and building- height estimation using IKONOS data,

Reference 9

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source=pdf_text observed=2026-08-02T13:13:27.684450Z digest=sha256:ac61e98b8fa7b903bc800fb78eb73980a25dd4160085ef38280bcd0df7ae5b21

Observation d1312171-e406-4488-9a43-6b98ff4fcaf2 · outbound

This paper cites Using shadows in high-resolution imagery to determine building height,.

Location Prior Generation via Multi-Source Urban Data Fusion for Low-Altitude Air Mobility Using shadows in high-resolution imagery to determine building height,

Reference 10

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source=pdf_text observed=2026-08-02T13:13:27.878934Z digest=sha256:64b90bb7dc7f74ea93d7a6409d5890fdf214bd0c094f143f211dc70071612f59

Observation dc374302-1491-4c98-8906-d4cbc9b12ac4 · outbound

This paper cites Building height estimation from high resolution satellite images,.

Location Prior Generation via Multi-Source Urban Data Fusion for Low-Altitude Air Mobility Building height estimation from high resolution satellite images,

Reference 11

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source=pdf_text observed=2026-08-02T13:13:27.993650Z digest=sha256:7e0363e5d98fd06885fcca6fd8d62a26814c389537ed927af4a3b9048286c826

Observation 19d92f37-10ec-44b7-9b14-e58ee4a36467 · outbound

This paper cites Building detection in very high resolution multispectral data with deep learning features,.

Location Prior Generation via Multi-Source Urban Data Fusion for Low-Altitude Air Mobility Building detection in very high resolution multispectral data with deep learning features,

Reference 12

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source=pdf_text observed=2026-08-02T13:13:28.217174Z digest=sha256:34783c1631a13273ac3b0b88e1feeb58e797277d08647ae29e17aceb26d63588

Observation 9dfe7a1a-c9bb-4a9d-affe-d149db711fee · outbound

This paper cites Learning aerial image segmentation from online maps,.

Location Prior Generation via Multi-Source Urban Data Fusion for Low-Altitude Air Mobility Learning aerial image segmentation from online maps,

Reference 13

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Observation cc69b27b-d983-43a2-ad9f-af9b89e7b374 · outbound

This paper cites Inferring road maps from GPS traces,.

Location Prior Generation via Multi-Source Urban Data Fusion for Low-Altitude Air Mobility Inferring road maps from GPS traces,

Reference 14

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Observation 88b501c6-6795-47d4-9a41-c9e8c889f2a7 · outbound

This paper cites MiTra: A drone-based trajectory data for an all-traffic-state inclusive freeway with ramps,.

Location Prior Generation via Multi-Source Urban Data Fusion for Low-Altitude Air Mobility MiTra: A drone-based trajectory data for an all-traffic-state inclusive freeway with ramps,

Reference 15

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source=pdf_text observed=2026-08-02T13:13:28.733409Z digest=sha256:60eafbf0279357bf4bc7c92c554acba49859dde974904285644a3db3aafb35bc

Observation f4cd3711-1805-4ed1-8c76-030b55103a70 · outbound

This paper cites A GIS application for UA V flight planning,.

Location Prior Generation via Multi-Source Urban Data Fusion for Low-Altitude Air Mobility A GIS application for UA V flight planning,

Reference 16

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source=pdf_text observed=2026-08-02T13:13:28.871820Z digest=sha256:94e739b5aead181229138409c8e236672a702ec5d627226ccbad7599489124f8

Observation 94b732b5-58a9-470e-98b2-d432629f6b1b · outbound

This paper cites Deep learning enabled semantic communication systems,.

Location Prior Generation via Multi-Source Urban Data Fusion for Low-Altitude Air Mobility Deep learning enabled semantic communication systems,

Reference 17

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source=pdf_text observed=2026-08-02T13:13:29.005151Z digest=sha256:6e2886635025f96953bf05e25af903dac2dd2cdb74b30730ddaba2b3e5a9ca8c

Observation 6399126c-1a73-4ed3-9913-fa1936af1cc5 · outbound

This paper cites Easy Access Rules for U-space,.

Location Prior Generation via Multi-Source Urban Data Fusion for Low-Altitude Air Mobility Easy Access Rules for U-space,

Reference 18

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Observation 4e4bc5f2-f2e1-40f2-b078-4ddb25770b59 · outbound

This paper cites Unmanned Aircraft Systems (UAS) Traffic Management (UTM) Concept of Operations v2.0,.

Location Prior Generation via Multi-Source Urban Data Fusion for Low-Altitude Air Mobility Unmanned Aircraft Systems (UAS) Traffic Management (UTM) Concept of Operations v2.0,

Reference 19

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Observation ef6e25fb-f50f-4555-a65f-a480fecda7cf · outbound

This paper cites Data quality in Internet of Things: A state-of-the-art survey,.

Location Prior Generation via Multi-Source Urban Data Fusion for Low-Altitude Air Mobility Data quality in Internet of Things: A state-of-the-art survey,

Reference 20

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Observation e78cbf68-6ddc-46bc-92b7-9659214eaa93 · outbound

This paper cites Sentinel-2A Level-2A, Tile 32TNQ, 2023-04-26T10:16:01Z,.

Location Prior Generation via Multi-Source Urban Data Fusion for Low-Altitude Air Mobility Sentinel-2A Level-2A, Tile 32TNQ, 2023-04-26T10:16:01Z,

Reference 21

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Observation 414c685f-b467-48d9-adab-7527622226a7 · outbound

This paper cites How good is volunteered geographical information? A comparative study of OpenStreetMap and Ordnance Survey datasets,.

Location Prior Generation via Multi-Source Urban Data Fusion for Low-Altitude Air Mobility How good is volunteered geographical information? A comparative study of OpenStreetMap and Ordnance Survey datasets,

Reference 22

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Observation 90ce61b6-e12b-40b9-b74e-1169ae81a953 · outbound

This paper cites Survey of advances in guidance, navigation, and control of unmanned rotorcraft systems,.

Location Prior Generation via Multi-Source Urban Data Fusion for Low-Altitude Air Mobility Survey of advances in guidance, navigation, and control of unmanned rotorcraft systems,

Reference 23

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Observation 029728ae-5f38-4c26-b1d5-2e87bd5d41c2 · outbound

This paper cites Semantic Communications: Principles and Challenges.

Location Prior Generation via Multi-Source Urban Data Fusion for Low-Altitude Air Mobility Semantic Communications: Principles and Challenges

Reference 24

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Observation b45cae7a-6468-4513-968b-e884820415d5 · outbound

This paper cites Ap- plications of 3D city models: State of the art review,.

Location Prior Generation via Multi-Source Urban Data Fusion for Low-Altitude Air Mobility Ap- plications of 3D city models: State of the art review,

Reference 25

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Pith citing papers

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