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Paper Citation Record · LEDGER

AeroMap3D: Anchoring Monocular UAV 6-DoF Localization to Visual-Geometric-Semantic Map Priors

As of 15 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 0 inbound Pith citation observations for arXiv:2607.14009.

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

pith.paper-citation-record.v1
2607.14009 v1

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T03:04:41.474372Z

measured 34 of 34 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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Reference resolution

34 of 34 outbound references displayed

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Outbound references

Observation 3b06792a-b018-49f9-9f50-887792ac93be · outbound

This paper cites Visual odometry.

AeroMap3D: Anchoring Monocular UAV 6-DoF Localization to Visual-Geometric-Semantic Map Priors Visual odometry

Reference 1

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Observation 7758cf22-a139-4a3d-b05c-28fcfb7c27b9 · outbound

This paper cites Orb-slam2: An open-source slam system for monocular, stereo, and rgb-d cameras.IEEE transactions on robotics, 33(5):1255– 1262, 2017.

AeroMap3D: Anchoring Monocular UAV 6-DoF Localization to Visual-Geometric-Semantic Map Priors Orb-slam2: An open-source slam system for monocular, stereo, and rgb-d cameras.IEEE transactions on robotics, 33(5):1255– 1262, 2017

Reference 2

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Observation 21a3ac81-0273-4ec3-83c2-ddfee990df3f · outbound

This paper cites Netvlad: Cnn architecture for weakly supervised place recognition.

AeroMap3D: Anchoring Monocular UAV 6-DoF Localization to Visual-Geometric-Semantic Map Priors Netvlad: Cnn architecture for weakly supervised place recognition

Reference 3

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Observation 44738aea-6753-4c8a-8f9c-288a41bc3ccb · outbound

This paper cites Geovins: Geographic-visual-inertial navigation system for large- scale drift-free aerial state estimation.IEEE Transactions on Robotics, 2025.

AeroMap3D: Anchoring Monocular UAV 6-DoF Localization to Visual-Geometric-Semantic Map Priors Geovins: Geographic-visual-inertial navigation system for large- scale drift-free aerial state estimation.IEEE Transactions on Robotics, 2025

Reference 4

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Observation 4c47e154-d1d9-4cf0-9c54-f0ab3d5408f0 · outbound

This paper cites Scaling image geo-localization to continent level.

AeroMap3D: Anchoring Monocular UAV 6-DoF Localization to Visual-Geometric-Semantic Map Priors Scaling image geo-localization to continent level

Reference 5

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Observation 56e3ac77-a3d3-40e7-b8af-0a202888dd26 · outbound

This paper cites Understanding pnp - solvepnp.

AeroMap3D: Anchoring Monocular UAV 6-DoF Localization to Visual-Geometric-Semantic Map Priors Understanding pnp - solvepnp

Reference 6

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source=pdf_text observed=2026-08-02T03:04:40.651493Z digest=sha256:9adb6de865604e138369b00c9ba7029f8ed9364ca978135f7e5b0d2d71760852

Observation ee16bf82-87e7-429f-9e37-f8b95df3b78d · outbound

This paper cites Real- time geo-localization using satellite imagery and topography for unmanned aerial vehicles.

AeroMap3D: Anchoring Monocular UAV 6-DoF Localization to Visual-Geometric-Semantic Map Priors Real- time geo-localization using satellite imagery and topography for unmanned aerial vehicles

Reference 7

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Observation 47b3a75d-2525-4d92-a1fd-c91e5ea531cc · outbound

This paper cites Uavd4l: A large-scale dataset for uav 6-dof localization.

AeroMap3D: Anchoring Monocular UAV 6-DoF Localization to Visual-Geometric-Semantic Map Priors Uavd4l: A large-scale dataset for uav 6-dof localization

Reference 8

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source=pdf_text observed=2026-08-02T03:04:40.687197Z digest=sha256:7bbb796c2cb78413d74a116ff6056031d1175b76c12bfb54eab67fe1d52647c6

Observation 6ca07d3d-0281-4575-ac42-a0099e35590a · outbound

This paper cites Pilot: Neural pixel-to-3d registration for uav-based ego and target geo-localization.

AeroMap3D: Anchoring Monocular UAV 6-DoF Localization to Visual-Geometric-Semantic Map Priors Pilot: Neural pixel-to-3d registration for uav-based ego and target geo-localization

Reference 9

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source=pdf_text observed=2026-08-02T03:04:40.714826Z digest=sha256:c1b6233eea1f01831679992854d21f6b041fb2db81c2f1bb22ce79543d3ac468

Observation 96b00cba-200c-4770-ab35-fbd943b81109 · outbound

This paper cites Ortholoc: Uav 6-dof localization and calibration using orthographic geodata.

AeroMap3D: Anchoring Monocular UAV 6-DoF Localization to Visual-Geometric-Semantic Map Priors Ortholoc: Uav 6-dof localization and calibration using orthographic geodata

Reference 10

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Observation 261b4bd3-688b-42f2-a684-dfaba9522adf · outbound

This paper cites Department of Agriculture.

AeroMap3D: Anchoring Monocular UAV 6-DoF Localization to Visual-Geometric-Semantic Map Priors Department of Agriculture

Reference 11

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Observation b8f27920-474a-492b-87f4-6bfba042b3b5 · outbound

This paper cites Geological Survey.

AeroMap3D: Anchoring Monocular UAV 6-DoF Localization to Visual-Geometric-Semantic Map Priors Geological Survey

Reference 12

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Observation 44aa7be7-bc0b-42ab-b93f-f8b302df17c0 · outbound

This paper cites Planet dump retrieved from https://planet.osm.org.

AeroMap3D: Anchoring Monocular UAV 6-DoF Localization to Visual-Geometric-Semantic Map Priors Planet dump retrieved from https://planet.osm.org

Reference 13

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Observation 0a0e44ae-9466-41c9-90c4-5174aabe9bab · outbound

This paper cites Loftr: Detector-free local feature matching with transformers.

AeroMap3D: Anchoring Monocular UAV 6-DoF Localization to Visual-Geometric-Semantic Map Priors Loftr: Detector-free local feature matching with transformers

Reference 14

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Observation 55211f14-c663-4afa-8dc4-becc7c468fa4 · outbound

This paper cites Roma: Robust dense feature matching.

AeroMap3D: Anchoring Monocular UAV 6-DoF Localization to Visual-Geometric-Semantic Map Priors Roma: Robust dense feature matching

Reference 15

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Observation 506e3b65-f06f-40d4-8f5c-b68340eb2a41 · outbound

This paper cites RoMa v2: Harder Better Faster Denser Feature Matching.

AeroMap3D: Anchoring Monocular UAV 6-DoF Localization to Visual-Geometric-Semantic Map Priors RoMa v2: Harder Better Faster Denser Feature Matching

Reference 16

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Observation a116504f-ddc3-4f22-8ad7-6e87b6e6db55 · outbound

This paper cites Magnetometer calibration for small unmanned aerial vehicles using cooperative flight data.Sensors, 20(2):538, 2020.

AeroMap3D: Anchoring Monocular UAV 6-DoF Localization to Visual-Geometric-Semantic Map Priors Magnetometer calibration for small unmanned aerial vehicles using cooperative flight data.Sensors, 20(2):538, 2020

Reference 17

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source=pdf_text observed=2026-08-02T03:04:40.923911Z digest=sha256:7301ecfad66f13e552442c7d38a9fb60cda0d6213f6da79074ec7bf9dc788124

Observation 8c4eacc9-e996-44f7-814e-0073b5f486d7 · outbound

This paper cites Modelling and calibration of time- varying magnetometer biases in small unmanned aerial vehicles.

AeroMap3D: Anchoring Monocular UAV 6-DoF Localization to Visual-Geometric-Semantic Map Priors Modelling and calibration of time- varying magnetometer biases in small unmanned aerial vehicles

Reference 18

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Observation 309a16cf-d9e4-41c4-817b-9f6f4274ead6 · outbound

This paper cites Optimal randomized ransac.IEEE Transactions on Pattern Analysis and Machine Intelligence, 30(8):1472–1482, 2008.

AeroMap3D: Anchoring Monocular UAV 6-DoF Localization to Visual-Geometric-Semantic Map Priors Optimal randomized ransac.IEEE Transactions on Pattern Analysis and Machine Intelligence, 30(8):1472–1482, 2008

Reference 19

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Observation 751d47ce-7547-480d-a44f-0960d838d9ae · outbound

This paper cites ALTO: A Large-Scale Dataset for UAV Visual Place Recognition and Localization.

AeroMap3D: Anchoring Monocular UAV 6-DoF Localization to Visual-Geometric-Semantic Map Priors ALTO: A Large-Scale Dataset for UAV Visual Place Recognition and Localization

Reference 20

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Observation 05d4cd47-37ae-4890-9cb3-3275c4594cf5 · outbound

This paper cites UAV-VisLoc: A Large-scale Dataset for UAV Visual Localization.

AeroMap3D: Anchoring Monocular UAV 6-DoF Localization to Visual-Geometric-Semantic Map Priors UAV-VisLoc: A Large-scale Dataset for UAV Visual Localization

Reference 21

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Observation 2440eb58-a0a0-4751-bd10-6d154a01d552 · outbound

This paper cites Aerialvl: A dataset, baseline and algorithm framework for aerial-based visual localization with reference map.IEEE Robotics and Automation Letters, 9(10):8210–8217, 2024.

AeroMap3D: Anchoring Monocular UAV 6-DoF Localization to Visual-Geometric-Semantic Map Priors Aerialvl: A dataset, baseline and algorithm framework for aerial-based visual localization with reference map.IEEE Robotics and Automation Letters, 9(10):8210–8217, 2024

Reference 22

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Observation 89a3c2b4-7bf9-406d-a176-999a89eed257 · outbound

This paper cites OrthoTrack: Continuous 6-DoF UAV Trajectory Estimation Anchored in Public Orthophotos.

AeroMap3D: Anchoring Monocular UAV 6-DoF Localization to Visual-Geometric-Semantic Map Priors OrthoTrack: Continuous 6-DoF UAV Trajectory Estimation Anchored in Public Orthophotos

Reference 23

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Observation 09e50838-22b2-4cbd-be14-773b68bb0d6e · outbound

This paper cites Dinov2-based uav visual self-localization in low-altitude urban environments.IEEE Robotics and Automation Letters, 2025.

AeroMap3D: Anchoring Monocular UAV 6-DoF Localization to Visual-Geometric-Semantic Map Priors Dinov2-based uav visual self-localization in low-altitude urban environments.IEEE Robotics and Automation Letters, 2025

Reference 24

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Observation 03ac06e8-79d6-4bfc-a3c1-bea023f62237 · outbound

This paper cites Selavpr++: Towards seamless adaptation of foundation models for efficient place recognition.IEEE Transactions on Pattern Analysis and Machine Intelligence, 2025.

AeroMap3D: Anchoring Monocular UAV 6-DoF Localization to Visual-Geometric-Semantic Map Priors Selavpr++: Towards seamless adaptation of foundation models for efficient place recognition.IEEE Transactions on Pattern Analysis and Machine Intelligence, 2025

Reference 25

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Observation 024a005e-408e-4ba4-a1af-ca351c3af842 · outbound

This paper cites Effovpr: Effective foundation model utilization for visual place recognition.

AeroMap3D: Anchoring Monocular UAV 6-DoF Localization to Visual-Geometric-Semantic Map Priors Effovpr: Effective foundation model utilization for visual place recognition

Reference 26

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Observation 934af979-e616-419b-be5e-dfcff653b421 · outbound

This paper cites Efficient visual place recognition through multimodal semantic knowledge integration.

AeroMap3D: Anchoring Monocular UAV 6-DoF Localization to Visual-Geometric-Semantic Map Priors Efficient visual place recognition through multimodal semantic knowledge integration

Reference 27

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Observation 764321da-ed13-40ed-a7e8-eaa75069ae9a · outbound

This paper cites Superglue: Learning feature matching with graph neural networks.

AeroMap3D: Anchoring Monocular UAV 6-DoF Localization to Visual-Geometric-Semantic Map Priors Superglue: Learning feature matching with graph neural networks

Reference 28

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Observation f0a64b06-5548-45a0-b7ce-7832caac0cd5 · outbound

This paper cites Le, and Hartwig Adam.

AeroMap3D: Anchoring Monocular UAV 6-DoF Localization to Visual-Geometric-Semantic Map Priors Le, and Hartwig Adam

Reference 29

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Observation 782ea284-d73e-44b3-9fea-a742d244eeaa · outbound

This paper cites MIT Press, 2005.

AeroMap3D: Anchoring Monocular UAV 6-DoF Localization to Visual-Geometric-Semantic Map Priors MIT Press, 2005

Reference 30

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Observation 7855f98e-79cb-4f1b-add7-25ffca694590 · outbound

This paper cites Orb: An efficient alternative to sift or surf.

AeroMap3D: Anchoring Monocular UAV 6-DoF Localization to Visual-Geometric-Semantic Map Priors Orb: An efficient alternative to sift or surf

Reference 31

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Observation e752da40-956f-49d5-8bb0-6182d181e1c0 · outbound

This paper cites Lightglue: Local feature matching at light speed.

AeroMap3D: Anchoring Monocular UAV 6-DoF Localization to Visual-Geometric-Semantic Map Priors Lightglue: Local feature matching at light speed

Reference 32

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Observation 3a0d54a5-a03f-4531-9c7f-4ce05ed32720 · outbound

This paper cites Superpoint: Self- supervised interest point detection and description.

AeroMap3D: Anchoring Monocular UAV 6-DoF Localization to Visual-Geometric-Semantic Map Priors Superpoint: Self- supervised interest point detection and description

Reference 33

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Observation 1eb08cff-362c-483d-8c0d-ccf0bd7d27b2 · outbound

This paper cites DINOv2: Learning Robust Visual Features without Supervision.

AeroMap3D: Anchoring Monocular UAV 6-DoF Localization to Visual-Geometric-Semantic Map Priors DINOv2: Learning Robust Visual Features without Supervision

Reference 34

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Pith citing papers

No inbound Pith citation observations are available.