Paper Citation Record · LEDGER

Model-Agnostic Open-Set Air-to-Air Visual Object Detection for Reliable UAV Perception

As of 19 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 0 inbound Pith citation observations for arXiv:2509.09297.

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

pith.paper-citation-record.v1
2509.09297 v1

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T19:25:54.403316Z

measured 34 of 34 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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

34 of 34 outbound references displayed

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verified fuzzy0
unresolved34
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ba0d73a5-326f-44ff-bf73-b0d39c1374d9 · outbound

This paper cites Class semantics modulation for open-set instance segmentation,.

Model-Agnostic Open-Set Air-to-Air Visual Object Detection for Reliable UAV Perception Class semantics modulation for open-set instance segmentation,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-04T19:25:54.244088Z

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Observation baa9a690-6cfc-4b9b-8044-f5fe5626ab14 · outbound

This paper cites Open-set object detection using classification-free object proposal and instance-level contrastive learning,.

Model-Agnostic Open-Set Air-to-Air Visual Object Detection for Reliable UAV Perception Open-set object detection using classification-free object proposal and instance-level contrastive learning,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-04T19:25:54.249625Z

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Observation 2d4aa9d7-9f51-4cb2-97f8-b77f94f5f8f2 · outbound

This paper cites Deep deterministic uncertainty: A new simple baseline,.

Model-Agnostic Open-Set Air-to-Air Visual Object Detection for Reliable UAV Perception Deep deterministic uncertainty: A new simple baseline,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-04T19:25:54.254562Z

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Observation c8748bf9-d9dc-4c82-96f4-756ac9ab066b · outbound

This paper cites Uncertainty for identifying open-set errors in visual object detection,.

Model-Agnostic Open-Set Air-to-Air Visual Object Detection for Reliable UAV Perception Uncertainty for identifying open-set errors in visual object detection,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-04T19:25:54.259293Z

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Observation c2543c96-6552-4635-a33e-4a03aa58af34 · outbound

This paper cites Common corruptions for evaluating and enhancing robustness in air-to-air visual object detection,.

Model-Agnostic Open-Set Air-to-Air Visual Object Detection for Reliable UAV Perception Common corruptions for evaluating and enhancing robustness in air-to-air visual object detection,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-04T19:25:54.263987Z

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Observation eaf6c4bf-c895-4766-a8f3-6c3c028406f6 · outbound

This paper cites Air-to-air visual detection of micro-uavs: An experimental evaluation of deep learning,.

Model-Agnostic Open-Set Air-to-Air Visual Object Detection for Reliable UAV Perception Air-to-air visual detection of micro-uavs: An experimental evaluation of deep learning,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-04T19:25:54.269884Z

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Observation 82badf87-472f-4e25-bd4f-57b856e6c92e · outbound

This paper cites Nefeli: A deep-learning detection and tracking pipeline for enhancing autonomy in advanced air mobility,.

Model-Agnostic Open-Set Air-to-Air Visual Object Detection for Reliable UAV Perception Nefeli: A deep-learning detection and tracking pipeline for enhancing autonomy in advanced air mobility,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-04T19:25:54.275339Z

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Observation 7e894680-88a4-4ad8-9102-25755034ec23 · outbound

This paper cites Airtrack: Onboard deep learning framework for long-range aircraft detection and tracking,.

Model-Agnostic Open-Set Air-to-Air Visual Object Detection for Reliable UAV Perception Airtrack: Onboard deep learning framework for long-range aircraft detection and tracking,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-04T19:25:54.279935Z

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Observation 32e6bd70-d395-4756-bdbf-0f410d0d55d9 · outbound

This paper cites Visual-based obstacle detection and tracking, and conflict detection for small uas sense and avoid,.

Model-Agnostic Open-Set Air-to-Air Visual Object Detection for Reliable UAV Perception Visual-based obstacle detection and tracking, and conflict detection for small uas sense and avoid,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-04T19:25:54.284396Z

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Observation d4b51f8c-982c-4c12-b317-3e47267cfa7b · outbound

This paper cites Out-of-distribution identification: Let detector tell which i am not sure,.

Model-Agnostic Open-Set Air-to-Air Visual Object Detection for Reliable UAV Perception Out-of-distribution identification: Let detector tell which i am not sure,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-04T19:25:54.288880Z

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Observation d69ffaad-9049-4f98-91f7-fc23faff5964 · outbound

This paper cites Hyperdimensional feature fusion for out-of-distribution detection,.

Model-Agnostic Open-Set Air-to-Air Visual Object Detection for Reliable UAV Perception Hyperdimensional feature fusion for out-of-distribution detection,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-04T19:25:54.293493Z

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Observation 7785ee74-38a5-4fa3-ac6a-269c643c7c1c · outbound

This paper cites Open-set object detection: towards unified problem formulation and benchmarking,.

Model-Agnostic Open-Set Air-to-Air Visual Object Detection for Reliable UAV Perception Open-set object detection: towards unified problem formulation and benchmarking,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-04T19:25:54.298051Z

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Observation c53ce271-3cca-43df-a7c0-bafcaed4e58d · outbound

This paper cites Grounding DINO 1.5: Advance the "Edge" of Open-Set Object Detection.

Model-Agnostic Open-Set Air-to-Air Visual Object Detection for Reliable UAV Perception Grounding DINO 1.5: Advance the "Edge" of Open-Set Object Detection

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-04T19:25:54.302542Z

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Observation 9b0eb14f-37e9-4e61-b504-60145b09d4e4 · outbound

This paper cites Uncertainty quantification for safe and reliable autonomous vehicles: A review of methods and applications,.

Model-Agnostic Open-Set Air-to-Air Visual Object Detection for Reliable UAV Perception Uncertainty quantification for safe and reliable autonomous vehicles: A review of methods and applications,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-04T19:25:54.307521Z

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Observation c299d861-238a-4c1c-b6d9-7beda2951f45 · outbound

This paper cites Gaussian mixture models,.

Model-Agnostic Open-Set Air-to-Air Visual Object Detection for Reliable UAV Perception Gaussian mixture models,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-04T19:25:54.312113Z

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Observation 5d85d5d8-eda6-45f4-8fd9-11ae8f325dcf · outbound

This paper cites Certainnet: Sampling-free uncertainty estimation for object detection,.

Model-Agnostic Open-Set Air-to-Air Visual Object Detection for Reliable UAV Perception Certainnet: Sampling-free uncertainty estimation for object detection,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-04T19:25:54.316434Z

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Observation 345c8d29-c33e-47e7-bcfd-379a8521ae1d · outbound

This paper cites Spectral normal- ization for generative adversarial networks,.

Model-Agnostic Open-Set Air-to-Air Visual Object Detection for Reliable UAV Perception Spectral normal- ization for generative adversarial networks,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-04T19:25:54.321041Z

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Observation 9f9758e4-4d36-4856-8813-7ac5be41f9a5 · outbound

This paper cites On calibration of modern neural networks,.

Model-Agnostic Open-Set Air-to-Air Visual Object Detection for Reliable UAV Perception On calibration of modern neural networks,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-04T19:25:54.325674Z

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Observation 4fc72332-01fd-442f-a368-df7dc0bb33b8 · outbound

This paper cites Benchmarking neural network ro- bustness to common corruptions and perturbations,.

Model-Agnostic Open-Set Air-to-Air Visual Object Detection for Reliable UAV Perception Benchmarking neural network ro- bustness to common corruptions and perturbations,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-04T19:25:54.330140Z

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Observation 0a1dbdfd-6a91-489b-9d74-a02e4c25ceae · outbound

This paper cites The cityscapes dataset for semantic urban scene understanding,.

Model-Agnostic Open-Set Air-to-Air Visual Object Detection for Reliable UAV Perception The cityscapes dataset for semantic urban scene understanding,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-04T19:25:54.334625Z

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Observation ff71d368-9d18-499b-96c2-f6303330f2db · outbound

This paper cites nuscenes: A multimodal dataset for autonomous driving,.

Model-Agnostic Open-Set Air-to-Air Visual Object Detection for Reliable UAV Perception nuscenes: A multimodal dataset for autonomous driving,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-04T19:25:54.339179Z

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Observation 620c9645-ef6e-4d4b-bc61-86b95410efb5 · outbound

This paper cites ultralytics/yolov5: v3.1 - bug fixes and performance improvements,.

Model-Agnostic Open-Set Air-to-Air Visual Object Detection for Reliable UAV Perception ultralytics/yolov5: v3.1 - bug fixes and performance improvements,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-04T19:25:54.344880Z

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Observation b35bb4b9-9f66-4a1e-8675-1af15ada7671 · outbound

This paper cites Ultralytics yolo,.

Model-Agnostic Open-Set Air-to-Air Visual Object Detection for Reliable UAV Perception Ultralytics yolo,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-04T19:25:54.350197Z

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Observation d2ea0cf9-cc55-466d-992e-2690de4a9aa0 · outbound

This paper cites YOLOX: Exceeding YOLO Series in 2021.

Model-Agnostic Open-Set Air-to-Air Visual Object Detection for Reliable UAV Perception YOLOX: Exceeding YOLO Series in 2021

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-04T19:25:54.354669Z

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Observation 9f08e96b-db1b-4bb7-8a8a-993a904a1b2f · outbound

This paper cites Focal loss for dense object detection,.

Model-Agnostic Open-Set Air-to-Air Visual Object Detection for Reliable UAV Perception Focal loss for dense object detection,

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-04T19:25:54.359340Z

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Observation f95de5fa-7859-4143-bd39-d03aee0921cb · outbound

This paper cites Pytorch-retinanet: Pytorch implementation of retinanet,.

Model-Agnostic Open-Set Air-to-Air Visual Object Detection for Reliable UAV Perception Pytorch-retinanet: Pytorch implementation of retinanet,

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-04T19:25:54.365172Z

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Observation e02660f0-f2fe-49b7-9d6a-131021242f47 · outbound

This paper cites Faster r-cnn: Towards real-time object detection with region proposal networks,.

Model-Agnostic Open-Set Air-to-Air Visual Object Detection for Reliable UAV Perception Faster r-cnn: Towards real-time object detection with region proposal networks,

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-04T19:25:54.375473Z

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Observation 8a381af8-94cd-47ef-ba03-790241737bdd · outbound

This paper cites Faster r-cnn pytorch training pipeline,.

Model-Agnostic Open-Set Air-to-Air Visual Object Detection for Reliable UAV Perception Faster r-cnn pytorch training pipeline,

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-04T19:25:54.379953Z

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Observation 933ff4a9-82e2-48af-9dd6-268aecd1da92 · outbound

This paper cites Diffusiondet: Diffusion model for object detection,.

Model-Agnostic Open-Set Air-to-Air Visual Object Detection for Reliable UAV Perception Diffusiondet: Diffusion model for object detection,

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-04T19:25:54.384697Z

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Observation a17cfeda-798b-433a-8561-706badb4ec8f · outbound

This paper cites End-to-end object detection with transformers,.

Model-Agnostic Open-Set Air-to-Air Visual Object Detection for Reliable UAV Perception End-to-end object detection with transformers,

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-04T19:25:54.389292Z

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Observation 3e0ad0dc-ce87-4e2d-b879-4e597e9eb1d8 · outbound

This paper cites Probabilistic two-stage detection.

Model-Agnostic Open-Set Air-to-Air Visual Object Detection for Reliable UAV Perception Probabilistic two-stage detection

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-04T19:25:54.394192Z

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Observation 0e0bde89-92e6-41ff-a695-d98e523894f7 · outbound

This paper cites DETRs Beat YOLOs on Real-time Object Detection,.

Model-Agnostic Open-Set Air-to-Air Visual Object Detection for Reliable UAV Perception DETRs Beat YOLOs on Real-time Object Detection,

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-04T19:25:54.399047Z

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Observation a228b0ce-6eda-4d25-9482-ae00b94d89e3 · outbound

This paper cites Airborne object tracking dataset,.

Model-Agnostic Open-Set Air-to-Air Visual Object Detection for Reliable UAV Perception Airborne object tracking dataset,

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-04T19:25:54.403316Z

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Observation 75ee9a98-e013-44ac-9b75-03b9cb37cad0 · outbound

This paper cites Available: https://github.com/yhenon/pytorchretinanet.

Model-Agnostic Open-Set Air-to-Air Visual Object Detection for Reliable UAV Perception Available: https://github.com/yhenon/pytorchretinanet

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-04T19:25:54.369743Z

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Pith citing papers

No inbound Pith citation observations are available.