Paper Citation Record · LEDGER

LRSAA: Large-scale Remote Sensing Image Target Recognition and Automatic Annotation

As of 13 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 0 inbound Pith citation observations for arXiv:2411.15808.

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

pith.paper-citation-record.v1
2411.15808 v4

Coverage vector

measured 23 of 23 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T13:56:12.051448Z

measured 23 of 23 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+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

23 of 23 outbound references displayed

verified exact4
verified fuzzy12
unresolved7
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 722764dc-7c6e-46e7-b535-fee965a89872 · outbound

This paper cites ”Support vector machines in remote sensing: A review.” ISPRS journal of photogram- metry and remote sensing 66.3 (2011): 247-259.

LRSAA: Large-scale Remote Sensing Image Target Recognition and Automatic Annotation ”Support vector machines in remote sensing: A review.” ISPRS journal of photogram- metry and remote sensing 66.3 (2011): 247-259

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:56:13.152522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation d56fbe85-ddb8-4fa2-aacd-b1435cb1d512 · outbound

This paper cites ”Ship detection from optical remote sensing images using multi-scale analysis and Fourier HOG descriptor.” Remote Sensing 11.13 (2019): 1529.

LRSAA: Large-scale Remote Sensing Image Target Recognition and Automatic Annotation ”Ship detection from optical remote sensing images using multi-scale analysis and Fourier HOG descriptor.” Remote Sensing 11.13 (2019): 1529

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:56:13.141532Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 7198f42a-aab8-42c5-b679-d036a29002da · outbound

This paper cites an unresolved cited work.

LRSAA: Large-scale Remote Sensing Image Target Recognition and Automatic Annotation Unresolved cited work

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-12T13:56:11.963815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 03b2a0e9-74c8-419c-b9ea-46c1c16ba9dd · outbound

This paper cites ”Attention and feature fusion SSD for remote sensing object detection.” IEEE Transactions on Instrumentation and Measurement 70 (2021): 1-9.

LRSAA: Large-scale Remote Sensing Image Target Recognition and Automatic Annotation ”Attention and feature fusion SSD for remote sensing object detection.” IEEE Transactions on Instrumentation and Measurement 70 (2021): 1-9

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:56:13.130431Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation fd1aeabd-81c4-40c3-abd7-05392a78c952 · outbound

This paper cites MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications.

LRSAA: Large-scale Remote Sensing Image Target Recognition and Automatic Annotation MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-12T13:56:11.972920Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c252c1e6-c4e2-45ce-b6c5-68fa0f346226 · outbound

This paper cites Howard, M.

LRSAA: Large-scale Remote Sensing Image Target Recognition and Automatic Annotation Howard, M

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:56:13.118015Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 0aba888d-650d-402f-a7aa-0d0b2374a2a3 · outbound

This paper cites an unresolved cited work.

LRSAA: Large-scale Remote Sensing Image Target Recognition and Automatic Annotation Unresolved cited work

Reference 7

Resolution: unresolved; raw_fallback, observed 2026-08-12T13:56:13.106032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation d92d627a-eda5-4e57-b079-b5ab36621886 · outbound

This paper cites Biswas, H.

LRSAA: Large-scale Remote Sensing Image Target Recognition and Automatic Annotation Biswas, H

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:56:13.093134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 2383144d-82d9-4134-8445-224100d92d04 · outbound

This paper cites an unresolved cited work.

LRSAA: Large-scale Remote Sensing Image Target Recognition and Automatic Annotation Unresolved cited work

Reference 9

Resolution: unresolved; raw_fallback, observed 2026-08-12T13:56:13.080477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 091076f6-f604-4952-9e60-95c3e2664bd9 · outbound

This paper cites YOLOv11: An Overview of the Key Architectural Enhancements.

LRSAA: Large-scale Remote Sensing Image Target Recognition and Automatic Annotation YOLOv11: An Overview of the Key Architectural Enhancements

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-12T13:56:11.995144Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eab596a7-dc4d-4660-a11c-1c50c97fb08b · outbound

This paper cites ”You only look once: Unified, real-time object detection.” Proceedings of the IEEE conference on computer vision and pattern recognition.

LRSAA: Large-scale Remote Sensing Image Target Recognition and Automatic Annotation ”You only look once: Unified, real-time object detection.” Proceedings of the IEEE conference on computer vision and pattern recognition

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:56:13.068578Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 70ee823a-b606-499c-8e2d-e2d11f4fc645 · outbound

This paper cites Zakria, J.

LRSAA: Large-scale Remote Sensing Image Target Recognition and Automatic Annotation Zakria, J

Reference 12

Resolution: verified exact; arxiv_id_nonexistent, observed 2026-08-12T13:56:12.949234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 403d5650-c4a7-4ae8-864c-fa4273c52781 · outbound

This paper cites R-YOLO: A YOLO-Based Method for Arbitrary-Oriented Target Detection in High-Resolution Remote Sensing Images.

LRSAA: Large-scale Remote Sensing Image Target Recognition and Automatic Annotation R-YOLO: A YOLO-Based Method for Arbitrary-Oriented Target Detection in High-Resolution Remote Sensing Images

Reference 13

Resolution: verified exact; doi, observed 2026-08-12T13:56:12.092758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation a7515a4f-cab6-4591-9c52-04c63aa28b90 · outbound

This paper cites an unresolved cited work.

LRSAA: Large-scale Remote Sensing Image Target Recognition and Automatic Annotation Unresolved cited work

Reference 14

Resolution: verified exact; arxiv_id_nonexistent, observed 2026-08-12T13:56:12.588440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 00768d7f-2d96-4044-9d81-caad4828b33f · outbound

This paper cites ”Stochastic sampling in computer graphics.” ACM Transactions on Graphics (TOG) 5.1 (1986): 51-72.

LRSAA: Large-scale Remote Sensing Image Target Recognition and Automatic Annotation ”Stochastic sampling in computer graphics.” ACM Transactions on Graphics (TOG) 5.1 (1986): 51-72

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:56:13.055414Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 5f57bd76-eaec-4199-b0a8-ec1a9f47a5ec · outbound

This paper cites an unresolved cited work.

LRSAA: Large-scale Remote Sensing Image Target Recognition and Automatic Annotation Unresolved cited work

Reference 16

Resolution: verified exact; arxiv_id_nonexistent, observed 2026-08-12T13:56:12.368957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 61c6e757-67da-4fb0-995b-599cfcf0eebd · outbound

This paper cites ”A comparison of methods for generating Poisson disk distributions.” Computer Graphics Forum.

LRSAA: Large-scale Remote Sensing Image Target Recognition and Automatic Annotation ”A comparison of methods for generating Poisson disk distributions.” Computer Graphics Forum

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:56:13.042852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 49ad3219-e17a-4351-ba67-9628bbe0ed73 · outbound

This paper cites ”Poisson-disk sampling: Theory and applications.” Ency- clopedia of Computer Graphics and Games.

LRSAA: Large-scale Remote Sensing Image Target Recognition and Automatic Annotation ”Poisson-disk sampling: Theory and applications.” Ency- clopedia of Computer Graphics and Games

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:56:13.030526Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation cf630769-01a2-4001-85ef-aa60c8b85aaa · outbound

This paper cites ”Focal and efficient IOU loss for accurate bounding box regression.” Neurocomputing 506 (2022): 146-157.

LRSAA: Large-scale Remote Sensing Image Target Recognition and Automatic Annotation ”Focal and efficient IOU loss for accurate bounding box regression.” Neurocomputing 506 (2022): 146-157

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:56:13.019671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 0f7e52b1-5edf-49b3-94aa-8f9324f1ca4f · outbound

This paper cites ”Distance-IoU loss: Faster and better learning for bounding box regression.” Proceedings of the AAAI conference on artificial intelligence.

LRSAA: Large-scale Remote Sensing Image Target Recognition and Automatic Annotation ”Distance-IoU loss: Faster and better learning for bounding box regression.” Proceedings of the AAAI conference on artificial intelligence

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:56:13.008552Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation e39d87a0-f456-44cf-8eac-c2cdbe0665ec · outbound

This paper cites xView: Objects in Context in Overhead Imagery.

LRSAA: Large-scale Remote Sensing Image Target Recognition and Automatic Annotation xView: Objects in Context in Overhead Imagery

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-12T13:56:12.042449Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e0739209-37b1-4d4e-a580-a09bbfd0c02e · outbound

This paper cites ”Faster R-CNN: Towards real-time object detection with region proposal networks.” IEEE transactions on pattern analysis and machine intelligence 39.6 (2016): 1137-1149.

LRSAA: Large-scale Remote Sensing Image Target Recognition and Automatic Annotation ”Faster R-CNN: Towards real-time object detection with region proposal networks.” IEEE transactions on pattern analysis and machine intelligence 39.6 (2016): 1137-1149

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:56:12.996978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 37e888b4-e666-4633-934e-913c2b03ec52 · outbound

This paper cites an unresolved cited work.

LRSAA: Large-scale Remote Sensing Image Target Recognition and Automatic Annotation Unresolved cited work

Reference 23

Resolution: unresolved; raw_fallback, observed 2026-08-12T13:56:12.985587Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Pith citing papers

No inbound Pith citation observations are available.