Paper Citation Record · LEDGER

Efficient Endangered Deer Species Monitoring with UAV Aerial Imagery and Deep Learning

As of 8 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 0 inbound Pith citation observations for arXiv:2506.00164.

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

pith.paper-citation-record.v1
2506.00164 v1

Coverage vector

measured 17 of 17 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:16:35.692621Z

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

17 of 17 outbound references displayed

verified exact0
verified fuzzy3
unresolved14
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6e88e841-8290-490e-a971-cdee063ee378 · outbound

This paper cites an unresolved cited work.

Efficient Endangered Deer Species Monitoring with UAV Aerial Imagery and Deep Learning Unresolved cited work

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T12:16:34.166527Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 38d67505-1872-4b6e-9151-5c34f9e1fb88 · outbound

This paper cites Remote sensing image data and automated analysis to describe marine bird distributions and abundances,.

Efficient Endangered Deer Species Monitoring with UAV Aerial Imagery and Deep Learning Remote sensing image data and automated analysis to describe marine bird distributions and abundances,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T12:16:34.250163Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f3e21dc3-bdf7-4a65-b25b-317063298344 · outbound

This paper cites Ultralytics yolov8,.

Efficient Endangered Deer Species Monitoring with UAV Aerial Imagery and Deep Learning Ultralytics yolov8,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T12:16:34.344888Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eb94cc8c-69fd-4771-a1b5-18ab19a5f02d · outbound

This paper cites Are unmanned aircraft systems (uas s) the future of wildlife monitoring? a review of accomplishments and challenges,.

Efficient Endangered Deer Species Monitoring with UAV Aerial Imagery and Deep Learning Are unmanned aircraft systems (uas s) the future of wildlife monitoring? a review of accomplishments and challenges,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T12:16:34.443975Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9fbea4eb-7975-47af-88e8-fcc692f12d07 · outbound

This paper cites Increasing the accuracy and efficiency of wildlife census with unmanned aerial vehicles: a simulation study,.

Efficient Endangered Deer Species Monitoring with UAV Aerial Imagery and Deep Learning Increasing the accuracy and efficiency of wildlife census with unmanned aerial vehicles: a simulation study,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T12:16:34.537405Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bc6d3bdb-24e1-4811-b8c9-80990d10b448 · outbound

This paper cites Unmanned aerial vehicle surveys reveal unexpectedly high density of a threatened deer in a plantation forestry landscape,.

Efficient Endangered Deer Species Monitoring with UAV Aerial Imagery and Deep Learning Unmanned aerial vehicle surveys reveal unexpectedly high density of a threatened deer in a plantation forestry landscape,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T12:16:34.637263Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 410cde36-ba9b-4879-9087-c7874958341c · outbound

This paper cites Computer-automated bird detection and counts in high-resolution aerial images: A review,.

Efficient Endangered Deer Species Monitoring with UAV Aerial Imagery and Deep Learning Computer-automated bird detection and counts in high-resolution aerial images: A review,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T12:16:34.725486Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b2fe1262-3115-4cfb-b91c-3bc87287b9fe · outbound

This paper cites Use of unmanned aerial vehicles for livestock monitoring based on streaming k-means clustering,.

Efficient Endangered Deer Species Monitoring with UAV Aerial Imagery and Deep Learning Use of unmanned aerial vehicles for livestock monitoring based on streaming k-means clustering,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T12:16:34.809151Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 69af6f33-1c8f-41fd-a332-93c390600480 · outbound

This paper cites Fsscaps-detcountnet: Fuzzy soft sets and capsnet-based detection and counting network for monitoring animals from aerial images,.

Efficient Endangered Deer Species Monitoring with UAV Aerial Imagery and Deep Learning Fsscaps-detcountnet: Fuzzy soft sets and capsnet-based detection and counting network for monitoring animals from aerial images,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T12:16:34.900946Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 920d19cd-d4c9-47da-bbc7-1be3faafd171 · outbound

This paper cites A study on the detection of cattle in uav images using deep learning,.

Efficient Endangered Deer Species Monitoring with UAV Aerial Imagery and Deep Learning A study on the detection of cattle in uav images using deep learning,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T12:16:34.996650Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 223f7e82-5355-43cc-ae59-213aa3d4491d · outbound

This paper cites Automated aerial animal detection when spatial resolution conditions are varied,.

Efficient Endangered Deer Species Monitoring with UAV Aerial Imagery and Deep Learning Automated aerial animal detection when spatial resolution conditions are varied,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T12:16:35.088296Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 61245084-2731-42f9-8ad7-24ce037a890f · outbound

This paper cites A survey of transfer learning,.

Efficient Endangered Deer Species Monitoring with UAV Aerial Imagery and Deep Learning A survey of transfer learning,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:16:36.260719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 96dcfa1f-e050-4f36-9c89-df4cee97de57 · outbound

This paper cites Self-supervised pretraining and controlled augmentation improve rare wildlife recognition in uav images,.

Efficient Endangered Deer Species Monitoring with UAV Aerial Imagery and Deep Learning Self-supervised pretraining and controlled augmentation improve rare wildlife recognition in uav images,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T12:16:35.286256Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2ddee7a4-a7ee-4336-a6cc-1994de83875a · outbound

This paper cites Operational data augmentation in classifying single aerial images of animals,.

Efficient Endangered Deer Species Monitoring with UAV Aerial Imagery and Deep Learning Operational data augmentation in classifying single aerial images of animals,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:16:36.122530Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation e7c67fdb-2392-4e05-85a6-02861b6f3c07 · outbound

This paper cites Best practices to train deep models on imbalanced datasets—a case study on animal detection in aerial imagery,.

Efficient Endangered Deer Species Monitoring with UAV Aerial Imagery and Deep Learning Best practices to train deep models on imbalanced datasets—a case study on animal detection in aerial imagery,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T12:16:35.504240Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 796f190e-25ef-42bb-9e96-3e7a97d49b1b · outbound

This paper cites Waid: A large-scale dataset for wildlife detection with drones,.

Efficient Endangered Deer Species Monitoring with UAV Aerial Imagery and Deep Learning Waid: A large-scale dataset for wildlife detection with drones,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:16:35.907878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 968beb36-4500-4e6e-85cd-06d65d1416ed · outbound

This paper cites Deer survey from drone thermal imagery using enhanced faster R-CNN based on ResNets and FPN,.

Efficient Endangered Deer Species Monitoring with UAV Aerial Imagery and Deep Learning Deer survey from drone thermal imagery using enhanced faster R-CNN based on ResNets and FPN,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T12:16:35.692621Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.