Paper Citation Record · LEDGER

Vision Meets Drones: A Challenge

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 16 inbound Pith citation observations for arXiv:1804.07437.

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

pith.paper-citation-record.v1
1804.07437 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 16 of 16 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:00:12.731180Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-07-04T02:59:25.268514Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
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malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 246d2399-9839-4867-8c9d-1fc9789e16dc · inbound

Kite: Automatic speech recognition for unmanned aerial vehicles cites this paper.

Kite: Automatic speech recognition for unmanned aerial vehicles Vision Meets Drones: A Challenge

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-05-25T11:00:39.977447Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f6f074fc-da78-4c46-994e-5607797b4265 · inbound

YOLOv8-SMOT: An Efficient and Robust Framework for Real-Time Small Object Tracking via Slice-Assisted Training and Adaptive Association cites this paper.

YOLOv8-SMOT: An Efficient and Robust Framework for Real-Time Small Object Tracking via Slice-Assisted Training and Adaptive Association Vision Meets Drones: A Challenge

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-06T17:00:12.731180Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation da32f254-710f-47c9-a8d7-b958a034daa4 · inbound

UAVScenes: A Multi-Modal Dataset for UAVs cites this paper.

UAVScenes: A Multi-Modal Dataset for UAVs Vision Meets Drones: A Challenge

Reference 121

Resolution: unresolved; no resolver link, observed 2026-08-06T11:47:49.874600Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7a3d842a-679b-4fc6-8772-9176a28b1a45 · inbound

Coarse-to-Fine Hierarchical Alignment for UAV-based Human Detection using Diffusion Models cites this paper.

Coarse-to-Fine Hierarchical Alignment for UAV-based Human Detection using Diffusion Models Vision Meets Drones: A Challenge

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-03T16:22:25.500200Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e63572a8-faeb-487f-93dd-19446b0e832e · inbound

MotionScape: A Large-Scale Real-World Highly Dynamic UAV Video Dataset for World Models cites this paper.

MotionScape: A Large-Scale Real-World Highly Dynamic UAV Video Dataset for World Models Vision Meets Drones: A Challenge

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-05-11T07:26:02.088649Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation dc5cb42d-6f5d-4fad-8226-b1df0148eda3 · inbound

PixDLM: A Dual-Path Multimodal Language Model for UAV Reasoning Segmentation cites this paper.

PixDLM: A Dual-Path Multimodal Language Model for UAV Reasoning Segmentation Vision Meets Drones: A Challenge

Reference 63

Resolution: verified exact; arxiv_id, observed 2026-05-10T09:23:37.133009Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3fb1fcac-16c9-44b9-af7c-ec195deb7e04 · inbound

PixDLM: A Dual-Path Multimodal Language Model for UAV Reasoning Segmentation cites this paper.

PixDLM: A Dual-Path Multimodal Language Model for UAV Reasoning Segmentation Vision Meets Drones: A Challenge

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-02T16:10:02.943803Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 13c0c469-0a7e-4cb0-bc19-d23689f8defa · inbound

ERPPO: Entropy Regularization-based Proximal Policy Optimization cites this paper.

ERPPO: Entropy Regularization-based Proximal Policy Optimization Vision Meets Drones: A Challenge

Reference 235

Resolution: metadata mismatch; local_arxiv, observed 2026-05-14T19:32:51.818117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 625bcf3c-704b-43a9-b3f0-47a1f4d9c16d · inbound

DeTrack: A Benchmark and Altitude-Aware Dual World Model for Drone-embodied Tracking cites this paper.

DeTrack: A Benchmark and Altitude-Aware Dual World Model for Drone-embodied Tracking Vision Meets Drones: A Challenge

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-05-20T14:43:22.460837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 34441ab7-82b1-4544-9b4c-8c35fcd099a8 · inbound

Cross-View Urban Traffic Dataset: Drone-Supervised Ground Truth for Monocular Bird's-Eye View Localization cites this paper.

Cross-View Urban Traffic Dataset: Drone-Supervised Ground Truth for Monocular Bird's-Eye View Localization Vision Meets Drones: A Challenge

Reference 27

Resolution: verified exact; local_arxiv, observed 2026-07-02T17:07:12.650626Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e1a4a5c4-f311-4c47-b71c-af33efce7d9e · inbound

Edge-Constrained UAV Small-Object Detection with P2 Enhancement and Quantum-Inspired Lightweight Structure Search cites this paper.

Edge-Constrained UAV Small-Object Detection with P2 Enhancement and Quantum-Inspired Lightweight Structure Search Vision Meets Drones: A Challenge

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-07-03T00:07:28.320496Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 908099be-0cde-4fd6-971f-bd00fa09f437 · inbound

VFACamou: View-Fused Adversarial Camouflage for Environment-Adaptive Physical Evasion cites this paper.

VFACamou: View-Fused Adversarial Camouflage for Environment-Adaptive Physical Evasion Vision Meets Drones: A Challenge

Reference 9

Resolution: metadata mismatch; local_arxiv, observed 2026-07-04T02:59:25.270939Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 9591a3a9-848f-4b43-950e-ab73475a6cad · inbound

DroneIQA-VLE: Multi-Task Drone Image Quality Assessment via Vision-Language Ensemble cites this paper.

DroneIQA-VLE: Multi-Task Drone Image Quality Assessment via Vision-Language Ensemble Vision Meets Drones: A Challenge

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-07-02T15:27:04.767622Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b52d503a-5897-4be3-93d8-8b950f900b31 · inbound

Beyond the Performance Illusion: Structure-Aware Stratified Partitioning and Curriculum Distributionally Robust Optimization for Spatially Correlated Domains cites this paper.

Beyond the Performance Illusion: Structure-Aware Stratified Partitioning and Curriculum Distributionally Robust Optimization for Spatially Correlated Domains Vision Meets Drones: A Challenge

Reference 28

Resolution: verified exact; local_arxiv, observed 2026-07-03T17:18:43.079865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 9ea049b2-038f-49d5-9a2e-1f3fa39495b2 · inbound

Federated Learning for Object Detection: Enabling Collaborative Drone Learning Without Centralizing Data cites this paper.

Federated Learning for Object Detection: Enabling Collaborative Drone Learning Without Centralizing Data Vision Meets Drones: A Challenge

Reference 6

Resolution: unresolved; no resolver link, observed 2026-07-12T08:12:59.937555Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a3e2f7d0-0373-48ad-a1bc-e53d7756e9ac · inbound

SULAND v2: A Refined RGB Dataset and Deep Learning Object Detection Benchmark for UAV/UGV-Based SUrface LANDmine Detection Under Domain Shift cites this paper.

SULAND v2: A Refined RGB Dataset and Deep Learning Object Detection Benchmark for UAV/UGV-Based SUrface LANDmine Detection Under Domain Shift Vision Meets Drones: A Challenge

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-03T15:49:11.697725Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.