Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-14T13:15:37.888283Z
Paper Citation Record · LEDGER
Foveated image processing for faster object detection and recognition in embedded systems using deep convolutional neural networks
As of 16 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 0 inbound Pith citation observations for arXiv:1908.09000.
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 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
21 of 21 outbound references displayed
- verified exact0
- verified fuzzy18
- unresolved2
- parse uncertain0
- malformed identifier0
- metadata mismatch1
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 90dc7378-19c8-47ee-9bc6-381a519be433 · outbound
This paper cites PLoS Computational Biology 13(10), e1005743 (2017).
Foveated image processing for faster object detection and recognition in embedded systems using deep convolutional neural networks PLoS Computational Biology 13(10), e1005743 (2017)
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:15:38.162850Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation a3650130-e83e-4b80-8663-4d6a4e5bc0d5 · outbound
This paper cites In: Robot 2017: Third Iberian Robotics Conference.
Foveated image processing for faster object detection and recognition in embedded systems using deep convolutional neural networks In: Robot 2017: Third Iberian Robotics Conference
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:15:38.150404Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 819fb55d-63c0-4152-b505-0b5353249a00 · outbound
This paper cites In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition.
Foveated image processing for faster object detection and recognition in embedded systems using deep convolutional neural networks In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:15:38.136262Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 667fa6f3-e80b-4249-af49-c2f98955d86e · outbound
This paper cites IEEE Transactions on Image Processing 13(10), 1304–1318 (2004) 12 U.
Foveated image processing for faster object detection and recognition in embedded systems using deep convolutional neural networks IEEE Transactions on Image Processing 13(10), 1304–1318 (2004) 12 U
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:15:38.123834Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 4128f904-1b20-48f6-9431-fd13a88648bf · outbound
This paper cites In: European Conference on Computer Vision.
Foveated image processing for faster object detection and recognition in embedded systems using deep convolutional neural networks In: European Conference on Computer Vision
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:15:38.107855Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation ff5a769a-59eb-46ed-adb8-256f4f4357d2 · outbound
This paper cites In: Proceedings of the IASTED International Conference on Signal Processing, Pattern Recognition, and Applications, SPPRA 2006.
Foveated image processing for faster object detection and recognition in embedded systems using deep convolutional neural networks In: Proceedings of the IASTED International Conference on Signal Processing, Pattern Recognition, and Applications, SPPRA 2006
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:15:38.096436Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation ef3bfb05-972c-4469-a4ff-d286dcf8e15a · outbound
This paper cites In: NIPS-W (2017), accessed: 2018-10-20.
Foveated image processing for faster object detection and recognition in embedded systems using deep convolutional neural networks In: NIPS-W (2017), accessed: 2018-10-20
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:15:38.086848Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 9067c215-b265-4d73-934e-ed596b80adf8 · outbound
This paper cites Learning to Zoom: a Saliency-Based Sampling Layer for Neural Networks.
Foveated image processing for faster object detection and recognition in embedded systems using deep convolutional neural networks Learning to Zoom: a Saliency-Based Sampling Layer for Neural Networks
Reference 8
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-14T13:15:37.955085Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation cd35236a-74d7-4095-a079-413f5869f8cb · outbound
This paper cites [online] http:// pjreddie.com/darknet/ (2016), accessed: 2018-08-25.
Foveated image processing for faster object detection and recognition in embedded systems using deep convolutional neural networks [online] http:// pjreddie.com/darknet/ (2016), accessed: 2018-08-25
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:15:38.071846Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation f209e863-31e0-4305-8cd9-17f7a656c570 · outbound
This paper cites In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition.
Foveated image processing for faster object detection and recognition in embedded systems using deep convolutional neural networks In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:15:38.061633Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation f8ca8d30-7f49-4559-bf7a-1a818d4c1cbf · outbound
This paper cites YOLOv3: An Incremental Improvement.
Foveated image processing for faster object detection and recognition in embedded systems using deep convolutional neural networks YOLOv3: An Incremental Improvement
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T13:15:37.849905Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d4e83063-390c-4991-af1d-562af68feeea · outbound
This paper cites In: Advances in Neural Information Pro- cessing Systems.
Foveated image processing for faster object detection and recognition in embedded systems using deep convolutional neural networks In: Advances in Neural Information Pro- cessing Systems
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:15:38.051403Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation dd40ed6b-b0bf-43aa-a931-404ee6459253 · outbound
This paper cites Fast YOLO: A Fast You Only Look Once System for Real-time Embedded Object Detection in Video.
Foveated image processing for faster object detection and recognition in embedded systems using deep convolutional neural networks Fast YOLO: A Fast You Only Look Once System for Real-time Embedded Object Detection in Video
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T13:15:37.857354Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 01d0576b-7a5a-4c0c-bb20-21005dc28104 · outbound
This paper cites Information Processing & Management 45(4), 427–437 (2009).
Foveated image processing for faster object detection and recognition in embedded systems using deep convolutional neural networks Information Processing & Management 45(4), 427–437 (2009)
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:15:38.041026Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation af20269c-1949-4b3b-9136-2819b4b1a853 · outbound
This paper cites In: ICCV2017, the Interna- tional Conference on Computer Vision.
Foveated image processing for faster object detection and recognition in embedded systems using deep convolutional neural networks In: ICCV2017, the Interna- tional Conference on Computer Vision
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:15:38.029945Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 69194d0e-8252-4043-8b3f-66ce68cdda12 · outbound
This paper cites IEEE Transactions on Pattern Analysis and Machine Intelligence 17(5), 500–511 (1995).
Foveated image processing for faster object detection and recognition in embedded systems using deep convolutional neural networks IEEE Transactions on Pattern Analysis and Machine Intelligence 17(5), 500–511 (1995)
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:15:38.019626Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation c720ffee-1fd5-4c5d-9506-f7e2a75404f2 · outbound
This paper cites Robotics and Autonomous Systems 58(4), 378–398 (2010).
Foveated image processing for faster object detection and recognition in embedded systems using deep convolutional neural networks Robotics and Autonomous Systems 58(4), 378–398 (2010)
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:15:38.006695Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation d5dad407-c2c2-4f17-8772-6fc8c78d6998 · outbound
This paper cites Nature 341(6243), 643– 646 (1989).
Foveated image processing for faster object detection and recognition in embedded systems using deep convolutional neural networks Nature 341(6243), 643– 646 (1989)
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:15:37.996623Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 686bcaec-79d2-46b7-aadb-a95b1b2c6e5a · outbound
This paper cites International Journal of Man- Machine Studies 18(4), 361–389 (1983).
Foveated image processing for faster object detection and recognition in embedded systems using deep convolutional neural networks International Journal of Man- Machine Studies 18(4), 361–389 (1983)
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:15:37.986171Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 62a98c0b-fb71-4428-b6f6-5a242d07bd82 · outbound
This paper cites In: CVPR Workshops.
Foveated image processing for faster object detection and recognition in embedded systems using deep convolutional neural networks In: CVPR Workshops
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:15:37.975633Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 854da3ce-fef2-4057-bff9-22bfb8348b36 · outbound
This paper cites Design Automation for Embedded Systems pp.
Foveated image processing for faster object detection and recognition in embedded systems using deep convolutional neural networks Design Automation for Embedded Systems pp
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:15:37.965397Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Pith citing papers
No inbound Pith citation observations are available.