Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-11T17:31:20.141156Z
Paper Citation Record · LEDGER
Sensing for Space Safety and Sustainability: A Deep Learning Approach with Vision Transformers
As of 15 August 2026, this Paper Citation Record lists 12 of 12 outbound references and 1 inbound Pith citation observation for arXiv:2412.08913.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-06-28T15:52:37.494880Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-01T21:56:16.562286Z
Reference resolution
12 of 12 outbound references displayed
- verified exact0
- verified fuzzy5
- unresolved7
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 4abbafd5-74e4-491f-88b9-f2c25d50b60c · outbound
This paper cites Stability of the future of leo environment - an iadc comparison study,.
Sensing for Space Safety and Sustainability: A Deep Learning Approach with Vision Transformers Stability of the future of leo environment - an iadc comparison study,
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T17:31:20.378920Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation cafaae2f-f3ee-4374-a9d6-b6c263d1e08e · outbound
This paper cites YOLOX: Exceeding YOLO Series in 2021.
Sensing for Space Safety and Sustainability: A Deep Learning Approach with Vision Transformers YOLOX: Exceeding YOLO Series in 2021
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T17:31:20.086538Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ef66169d-6c17-4c64-8ff3-556e11e07fe9 · outbound
This paper cites Yolov7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors,.
Sensing for Space Safety and Sustainability: A Deep Learning Approach with Vision Transformers Yolov7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors,
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T17:31:20.092029Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2f4897f6-b189-4a49-be77-1bfc8916f559 · outbound
This paper cites YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information.
Sensing for Space Safety and Sustainability: A Deep Learning Approach with Vision Transformers YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T17:31:20.096916Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 00f09f72-7466-486f-8e33-e23181d9165e · outbound
This paper cites Mobilevit: Light-weight, general- purpose, and mobile-friendly vision transformer,.
Sensing for Space Safety and Sustainability: A Deep Learning Approach with Vision Transformers Mobilevit: Light-weight, general- purpose, and mobile-friendly vision transformer,
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T17:31:20.347893Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 407b791a-717e-42d9-adc6-49b703a70743 · outbound
This paper cites Knowledge Distillation in YOLOX-ViT for Side-Scan Sonar Object Detection.
Sensing for Space Safety and Sustainability: A Deep Learning Approach with Vision Transformers Knowledge Distillation in YOLOX-ViT for Side-Scan Sonar Object Detection
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T17:31:20.108669Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 69e86a26-81ff-4ede-a31b-38d3d0c19ccd · outbound
This paper cites Rich feature hierarchies for accurate object detection and semantic segmentation,.
Sensing for Space Safety and Sustainability: A Deep Learning Approach with Vision Transformers Rich feature hierarchies for accurate object detection and semantic segmentation,
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T17:31:20.328334Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 861f6749-cba3-4184-8455-3135b99e0567 · outbound
This paper cites You only look once: Unified, real-time object detection,.
Sensing for Space Safety and Sustainability: A Deep Learning Approach with Vision Transformers You only look once: Unified, real-time object detection,
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T17:31:20.120610Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bd2a2ed5-6461-460b-a911-11fb88d68b2f · outbound
This paper cites Ssd: Single shot multibox detector,.
Sensing for Space Safety and Sustainability: A Deep Learning Approach with Vision Transformers Ssd: Single shot multibox detector,
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T17:31:20.298330Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 328eafbb-420d-4bea-a2b7-bffee5f83963 · outbound
This paper cites An enhanced ssd with feature fusion and visual reasoning for object detection,.
Sensing for Space Safety and Sustainability: A Deep Learning Approach with Vision Transformers An enhanced ssd with feature fusion and visual reasoning for object detection,
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T17:31:20.281844Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation dd23aca7-1b51-4c95-ade8-7ee661df7886 · outbound
This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.
Sensing for Space Safety and Sustainability: A Deep Learning Approach with Vision Transformers An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T17:31:20.136217Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 39399293-4baf-4f46-893a-a41249c929f1 · outbound
This paper cites Opening the Black Box of Deep Neural Networks via Information.
Sensing for Space Safety and Sustainability: A Deep Learning Approach with Vision Transformers Opening the Black Box of Deep Neural Networks via Information
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T17:31:20.141156Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
Observation f7c3b8ca-f33a-4605-9fed-62802f444b06 · inbound
Collaborative Space Object Detection with Multi-Satellite Viewpoints in LEO Constellations cites this paper.
Collaborative Space Object Detection with Multi-Satellite Viewpoints in LEO Constellations Sensing for Space Safety and Sustainability: A Deep Learning Approach with Vision Transformers
Reference 2
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T21:56:16.563732Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.