Paper Citation Record · LEDGER

MGDFIS: Multi-scale Global-detail Feature Integration Strategy for Small Object Detection

As of 10 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 1 inbound Pith citation observation for arXiv:2506.12697.

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

pith.paper-citation-record.v1
2506.12697 v4

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:48:13.508169Z

measured 36 of 36 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-15T14:15:00.859119Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

35 of 35 outbound references displayed

verified exact4
verified fuzzy26
unresolved5
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f26cd9b7-1c32-45b5-9416-ff961fd1e0a8 · outbound

This paper cites Remote sensing analysis of agricultural drone,.

MGDFIS: Multi-scale Global-detail Feature Integration Strategy for Small Object Detection Remote sensing analysis of agricultural drone,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:48:18.835498Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 1a71604f-f151-4674-b1f1-2d0164d0308b · outbound

This paper cites Efficient drone-based rare plant monitoring using a species distribution model and ai-based object detection,.

MGDFIS: Multi-scale Global-detail Feature Integration Strategy for Small Object Detection Efficient drone-based rare plant monitoring using a species distribution model and ai-based object detection,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:48:18.750777Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 17ea9b44-9e5a-4ba1-b1e5-7c7ad17af0f4 · outbound

This paper cites A Survey of 3D Reconstruction with Event Cameras.

MGDFIS: Multi-scale Global-detail Feature Integration Strategy for Small Object Detection A Survey of 3D Reconstruction with Event Cameras

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-08-07T00:48:14.333430Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 1946a920-c4ae-4b66-94f5-58d92fc0f0fc · outbound

This paper cites Autonomous monitoring, analysis, and countering of air pollution using environmental drones,.

MGDFIS: Multi-scale Global-detail Feature Integration Strategy for Small Object Detection Autonomous monitoring, analysis, and countering of air pollution using environmental drones,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:48:18.646932Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7e297c52-b33d-4c33-abdd-9f3e65ac9633 · outbound

This paper cites The use of drones and au- tonomous vehicles in logistics and delivery,.

MGDFIS: Multi-scale Global-detail Feature Integration Strategy for Small Object Detection The use of drones and au- tonomous vehicles in logistics and delivery,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:48:18.509805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b24aa419-24e1-47d2-a34e-dd7286aedb63 · outbound

This paper cites Using the unmanned aerial vehicle delivery decision tool to consider transporting medical supplies via drone,.

MGDFIS: Multi-scale Global-detail Feature Integration Strategy for Small Object Detection Using the unmanned aerial vehicle delivery decision tool to consider transporting medical supplies via drone,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:48:18.371744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 110f85c4-af6c-4eae-8025-4abd0c822bee · outbound

This paper cites Tiny object detection with context enhancement and feature purification,.

MGDFIS: Multi-scale Global-detail Feature Integration Strategy for Small Object Detection Tiny object detection with context enhancement and feature purification,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:48:18.181413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a00d1583-a3ea-4063-8678-eba80016a82c · outbound

This paper cites A survey and performance evaluation of deep learning methods for small object detection,.

MGDFIS: Multi-scale Global-detail Feature Integration Strategy for Small Object Detection A survey and performance evaluation of deep learning methods for small object detection,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:48:17.951703Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 38dfc107-c4ab-45e4-88db-3778bdd7f37f · outbound

This paper cites To- wards large-scale small object detection: Survey and benchmarks,.

MGDFIS: Multi-scale Global-detail Feature Integration Strategy for Small Object Detection To- wards large-scale small object detection: Survey and benchmarks,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:48:17.798082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 027f1400-bb3a-4b58-9cf9-aedff2f2f7b7 · outbound

This paper cites Methods for small, weak object detection in optical high-resolution remote sensing images: A survey of advances and challenges,.

MGDFIS: Multi-scale Global-detail Feature Integration Strategy for Small Object Detection Methods for small, weak object detection in optical high-resolution remote sensing images: A survey of advances and challenges,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:48:17.589253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f450bcb2-d515-4cd8-8d5e-fcbc76747422 · outbound

This paper cites Towards end-to- end neuromorphic voxel-based 3d object reconstruction without physical priors,.

MGDFIS: Multi-scale Global-detail Feature Integration Strategy for Small Object Detection Towards end-to- end neuromorphic voxel-based 3d object reconstruction without physical priors,

Reference 11

Resolution: verified exact; raw_fallback, observed 2026-08-07T00:48:14.179410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d97bf991-aa45-4386-92ce-e90c59a4fb84 · outbound

This paper cites Effective fusion factor in fpn for tiny object detection,.

MGDFIS: Multi-scale Global-detail Feature Integration Strategy for Small Object Detection Effective fusion factor in fpn for tiny object detection,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:48:17.341746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 350ee522-d4ac-48e5-a2a1-7a17021b9668 · outbound

This paper cites Face mask wearing detection algorithm based on improved yolo-v4,.

MGDFIS: Multi-scale Global-detail Feature Integration Strategy for Small Object Detection Face mask wearing detection algorithm based on improved yolo-v4,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:48:17.179826Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 5dddc382-e3f6-4ccd-822f-932146f2d98d · outbound

This paper cites A multi-scale small object detection algorithm sma-yolo for uav remote sensing images,.

MGDFIS: Multi-scale Global-detail Feature Integration Strategy for Small Object Detection A multi-scale small object detection algorithm sma-yolo for uav remote sensing images,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:48:17.020388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 353c3d08-05ad-46e1-b209-f2a56b812101 · outbound

This paper cites Dcn-yolo: A small-object detection paradigm for remote sensing imagery leveraging dilated convolutional networks,.

MGDFIS: Multi-scale Global-detail Feature Integration Strategy for Small Object Detection Dcn-yolo: A small-object detection paradigm for remote sensing imagery leveraging dilated convolutional networks,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:48:16.837604Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 3b99eee8-4e5c-4ff8-9c1d-381cb4526f75 · outbound

This paper cites Gcl-yolo: A ghostconv-based lightweight yolo network for uav small object detec- tion,.

MGDFIS: Multi-scale Global-detail Feature Integration Strategy for Small Object Detection Gcl-yolo: A ghostconv-based lightweight yolo network for uav small object detec- tion,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:48:16.672076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 036b8797-502e-444f-9d71-f9b0500fe0c3 · outbound

This paper cites Yolo-tla: an efficient and lightweight small object detection model based on yolov5,.

MGDFIS: Multi-scale Global-detail Feature Integration Strategy for Small Object Detection Yolo-tla: an efficient and lightweight small object detection model based on yolov5,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:48:16.515529Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ae75c95c-02e4-46f5-a5ec-e170fc56ee5a · outbound

This paper cites An anchor-free network for increasing attention to small objects in high resolution remote sensing images,.

MGDFIS: Multi-scale Global-detail Feature Integration Strategy for Small Object Detection An anchor-free network for increasing attention to small objects in high resolution remote sensing images,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:48:16.380155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 8aae2419-280d-452f-9e61-c8c2ba3f1aaf · outbound

This paper cites Visdrone-det2019: The vision meets drone object detection in image challenge results,.

MGDFIS: Multi-scale Global-detail Feature Integration Strategy for Small Object Detection Visdrone-det2019: The vision meets drone object detection in image challenge results,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:48:16.245160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 8ce75e66-4982-42af-addf-327f91f25010 · outbound

This paper cites Starting from the structure: A review of small object detection based on deep learning,.

MGDFIS: Multi-scale Global-detail Feature Integration Strategy for Small Object Detection Starting from the structure: A review of small object detection based on deep learning,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:48:16.025898Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 273ca62f-522a-4bbd-9df0-cb86a387b7d1 · outbound

This paper cites Querydet: Cascaded sparse query for accelerating high-resolution small object detection,.

MGDFIS: Multi-scale Global-detail Feature Integration Strategy for Small Object Detection Querydet: Cascaded sparse query for accelerating high-resolution small object detection,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T00:48:12.548163Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 70b5c42e-4e58-4c70-af10-8b885993f567 · outbound

This paper cites Depth-first random forests with improved grassberger entropy for small object detection,.

MGDFIS: Multi-scale Global-detail Feature Integration Strategy for Small Object Detection Depth-first random forests with improved grassberger entropy for small object detection,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:48:15.803608Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f0eec768-0c22-41f1-9a2a-4c982998389e · outbound

This paper cites Banet: Small and multi- object detection with a bidirectional attention network for traffic scenes,.

MGDFIS: Multi-scale Global-detail Feature Integration Strategy for Small Object Detection Banet: Small and multi- object detection with a bidirectional attention network for traffic scenes,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:48:15.648888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 9283c9fe-790b-40f4-b97b-f4b013765971 · outbound

This paper cites Extended feature pyramid network for small object detection,.

MGDFIS: Multi-scale Global-detail Feature Integration Strategy for Small Object Detection Extended feature pyramid network for small object detection,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:48:15.439146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 5466d35f-410c-4c68-84ab-605a61148d7b · outbound

This paper cites Enhanced semantic feature pyramid network for small object detection,.

MGDFIS: Multi-scale Global-detail Feature Integration Strategy for Small Object Detection Enhanced semantic feature pyramid network for small object detection,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:48:15.286515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 68ff5e10-94b9-4236-b09c-c75219602dd1 · outbound

This paper cites Dense and small object detection in uav-vision based on a global-local feature enhanced network,.

MGDFIS: Multi-scale Global-detail Feature Integration Strategy for Small Object Detection Dense and small object detection in uav-vision based on a global-local feature enhanced network,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:48:15.121202Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 0796112c-5e3a-4a06-9399-24e92668e37b · outbound

This paper cites Token Statistics Transformer: Linear-Time Attention via Variational Rate Reduction.

MGDFIS: Multi-scale Global-detail Feature Integration Strategy for Small Object Detection Token Statistics Transformer: Linear-Time Attention via Variational Rate Reduction

Reference 27

Resolution: verified exact; local_arxiv, observed 2026-08-07T00:48:13.922914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a92e1fef-4da0-4f14-b1fc-b8ecd36da6b5 · outbound

This paper cites Transformers without normalization,.

MGDFIS: Multi-scale Global-detail Feature Integration Strategy for Small Object Detection Transformers without normalization,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:48:14.946983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation fbfa5f6f-e4fa-4034-a0db-8d626ab0d4a2 · outbound

This paper cites A Hybrid Transformer-Mamba Network for Single Image Deraining.

MGDFIS: Multi-scale Global-detail Feature Integration Strategy for Small Object Detection A Hybrid Transformer-Mamba Network for Single Image Deraining

Reference 29

Resolution: verified exact; local_arxiv, observed 2026-08-07T00:48:13.678177Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 9f71b701-6962-4a2a-8920-409d03495865 · outbound

This paper cites 5%¿ 100%: Breaking performance shackles of full fine-tuning on visual recognition tasks,.

MGDFIS: Multi-scale Global-detail Feature Integration Strategy for Small Object Detection 5%¿ 100%: Breaking performance shackles of full fine-tuning on visual recognition tasks,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:48:14.696687Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ab2b3d78-0181-4f15-a334-5b0fac110b6f · outbound

This paper cites Efficientdet: Scalable and efficient object detection,.

MGDFIS: Multi-scale Global-detail Feature Integration Strategy for Small Object Detection Efficientdet: Scalable and efficient object detection,

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T00:48:13.202891Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 07f633bb-ca26-44e2-bd20-ac9a7ffd2dc6 · outbound

This paper cites Ultralytics YOLO,.

MGDFIS: Multi-scale Global-detail Feature Integration Strategy for Small Object Detection Ultralytics YOLO,

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-07T00:48:13.298025Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fc4b29cb-e419-4ec7-941e-889ebe6c2243 · outbound

This paper cites Yolov10: Real-time end-to-end object detection,.

MGDFIS: Multi-scale Global-detail Feature Integration Strategy for Small Object Detection Yolov10: Real-time end-to-end object detection,

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T00:48:13.304446Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b7fb3df4-0441-45c0-8561-de6da3163a87 · outbound

This paper cites Yolov9: Learning what you want to learn using programmable gradient information,.

MGDFIS: Multi-scale Global-detail Feature Integration Strategy for Small Object Detection Yolov9: Learning what you want to learn using programmable gradient information,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:48:14.455867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation df90f30a-a0ee-4039-8fb2-1661ac865e70 · outbound

This paper cites YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications.

MGDFIS: Multi-scale Global-detail Feature Integration Strategy for Small Object Detection YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-07T00:48:13.508169Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 64e78a40-c156-48ae-b5ea-ce69321f3fb1 · inbound

CollabOD: Collaborative Multi-Backbone with Cross-scale Vision for UAV Small Object Detection cites this paper.

CollabOD: Collaborative Multi-Backbone with Cross-scale Vision for UAV Small Object Detection MGDFIS: Multi-scale Global-detail Feature Integration Strategy for Small Object Detection

Reference 19

Resolution: unresolved; no resolver link, observed 2026-07-15T14:15:00.859119Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.