Paper Citation Record · LEDGER

Endangered Alert: A Field-Validated Self-Training Scheme for Detecting and Protecting Threatened Wildlife on Roads and Roadsides

As of 13 August 2026, this Paper Citation Record lists 52 of 52 outbound references and 1 inbound Pith citation observation for arXiv:2412.12222.

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

pith.paper-citation-record.v1
2412.12222 v1

Coverage vector

measured 52 of 52 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T14:55:06.090873Z

measured 53 of 53 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:19:17.765185Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T15:19:19.026734Z

Reference resolution

52 of 52 outbound references displayed

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External citation measurements

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Outbound references

Observation babd5d90-97da-429d-9b90-0bf1fec8be5b · outbound

This paper cites World Health Organization, 2019, accessed on October 24, 2024.

Endangered Alert: A Field-Validated Self-Training Scheme for Detecting and Protecting Threatened Wildlife on Roads and Roadsides World Health Organization, 2019, accessed on October 24, 2024

Reference 1

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Observation 43af338a-6468-44f2-a638-f455808ed20e · outbound

This paper cites Wildlife road safety report reveals dangers of animal collisions,.

Endangered Alert: A Field-Validated Self-Training Scheme for Detecting and Protecting Threatened Wildlife on Roads and Roadsides Wildlife road safety report reveals dangers of animal collisions,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:55:07.106258Z

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Observation 0a33fd1b-f2b2-4419-9f56-2bbb9bec1c2c · outbound

This paper cites (2023) Wildlife detection.

Endangered Alert: A Field-Validated Self-Training Scheme for Detecting and Protecting Threatened Wildlife on Roads and Roadsides (2023) Wildlife detection

Reference 3

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Observation ecff04f4-8ac4-4a9a-8eac-61339724df4f · outbound

This paper cites Evaluation of an animal warning system effectiveness phase two,.

Endangered Alert: A Field-Validated Self-Training Scheme for Detecting and Protecting Threatened Wildlife on Roads and Roadsides Evaluation of an animal warning system effectiveness phase two,

Reference 4

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Observation f6483988-88f6-4d71-84ba-a0b691595d9e · outbound

This paper cites Evaluation of a buried cable roadside an- imal detection system.

Endangered Alert: A Field-Validated Self-Training Scheme for Detecting and Protecting Threatened Wildlife on Roads and Roadsides Evaluation of a buried cable roadside an- imal detection system

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:55:07.054823Z

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Observation 8e051028-c921-452c-a0b2-0ffa94a4713d · outbound

This paper cites Preventing animal-vehicle crashes using a smart detection technology and warning system,.

Endangered Alert: A Field-Validated Self-Training Scheme for Detecting and Protecting Threatened Wildlife on Roads and Roadsides Preventing animal-vehicle crashes using a smart detection technology and warning system,

Reference 6

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Observation bdda3c60-b004-43d9-8219-4ddb61a39d78 · outbound

This paper cites Intelligent system utilizing hog and cnn for thermal image-based detection of wild animals in nocturnal periods for vehicle safety,.

Endangered Alert: A Field-Validated Self-Training Scheme for Detecting and Protecting Threatened Wildlife on Roads and Roadsides Intelligent system utilizing hog and cnn for thermal image-based detection of wild animals in nocturnal periods for vehicle safety,

Reference 7

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This paper cites Multiple instance detection network with online instance classifier refinement,.

Endangered Alert: A Field-Validated Self-Training Scheme for Detecting and Protecting Threatened Wildlife on Roads and Roadsides Multiple instance detection network with online instance classifier refinement,

Reference 8

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Observation 604505f3-42de-41ff-8d8a-9c06d7acec78 · outbound

This paper cites Object instance mining for weakly supervised object detection,.

Endangered Alert: A Field-Validated Self-Training Scheme for Detecting and Protecting Threatened Wildlife on Roads and Roadsides Object instance mining for weakly supervised object detection,

Reference 9

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Observation 872dfa2e-869a-4906-93fa-a70e8cc8be3a · outbound

This paper cites Instance-aware, context-focused, and memory-efficient weakly supervised object detection,.

Endangered Alert: A Field-Validated Self-Training Scheme for Detecting and Protecting Threatened Wildlife on Roads and Roadsides Instance-aware, context-focused, and memory-efficient weakly supervised object detection,

Reference 10

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Observation aa7b122c-a256-41f2-98a8-013035443081 · outbound

This paper cites Pcl: Proposal cluster learning for weakly supervised object detection,.

Endangered Alert: A Field-Validated Self-Training Scheme for Detecting and Protecting Threatened Wildlife on Roads and Roadsides Pcl: Proposal cluster learning for weakly supervised object detection,

Reference 11

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Observation 2cdd83a7-8b11-438f-8bd9-8d0c26d6bd9d · outbound

This paper cites Instance mining with class feature banks for weakly supervised object detection,.

Endangered Alert: A Field-Validated Self-Training Scheme for Detecting and Protecting Threatened Wildlife on Roads and Roadsides Instance mining with class feature banks for weakly supervised object detection,

Reference 12

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Observation 8d427522-26c3-4e82-8348-6a947d2d93fc · outbound

This paper cites Comprehensive attention self-distillation for weakly-supervised object detection,.

Endangered Alert: A Field-Validated Self-Training Scheme for Detecting and Protecting Threatened Wildlife on Roads and Roadsides Comprehensive attention self-distillation for weakly-supervised object detection,

Reference 13

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Observation d9b039e9-e92a-421b-adb1-df9be3fd0fd7 · outbound

This paper cites Cat: Weakly supervised object detection with category transfer,.

Endangered Alert: A Field-Validated Self-Training Scheme for Detecting and Protecting Threatened Wildlife on Roads and Roadsides Cat: Weakly supervised object detection with category transfer,

Reference 14

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Observation 846eec60-4b66-42da-81e7-b7e3d42dad84 · outbound

This paper cites Boost- ing weakly supervised object detection via learning bounding box adjusters,.

Endangered Alert: A Field-Validated Self-Training Scheme for Detecting and Protecting Threatened Wildlife on Roads and Roadsides Boost- ing weakly supervised object detection via learning bounding box adjusters,

Reference 15

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Observation 236ddc41-2a8c-408c-b996-fa1e1e1eb101 · outbound

This paper cites Boosting weakly super- vised object detection with progressive knowledge transfer,.

Endangered Alert: A Field-Validated Self-Training Scheme for Detecting and Protecting Threatened Wildlife on Roads and Roadsides Boosting weakly super- vised object detection with progressive knowledge transfer,

Reference 16

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This paper cites Weakly supervised deep detection net- works,.

Endangered Alert: A Field-Validated Self-Training Scheme for Detecting and Protecting Threatened Wildlife on Roads and Roadsides Weakly supervised deep detection net- works,

Reference 17

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Observation cf3b562f-0dd1-4719-bc90-0c05aa2f979a · outbound

This paper cites Continuation multiple instance learning for weakly supervised object detection. 2019 ieee,.

Endangered Alert: A Field-Validated Self-Training Scheme for Detecting and Protecting Threatened Wildlife on Roads and Roadsides Continuation multiple instance learning for weakly supervised object detection. 2019 ieee,

Reference 18

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This paper cites Towards human-machine cooperation: Self-supervised sample mining for object detection,.

Endangered Alert: A Field-Validated Self-Training Scheme for Detecting and Protecting Threatened Wildlife on Roads and Roadsides Towards human-machine cooperation: Self-supervised sample mining for object detection,

Reference 19

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This paper cites Consistency-based semi- supervised learning for object detection,.

Endangered Alert: A Field-Validated Self-Training Scheme for Detecting and Protecting Threatened Wildlife on Roads and Roadsides Consistency-based semi- supervised learning for object detection,

Reference 20

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Observation 270d35f4-aad2-48af-a24a-18ee13f76ee5 · outbound

This paper cites A Simple Semi-Supervised Learning Framework for Object Detection.

Endangered Alert: A Field-Validated Self-Training Scheme for Detecting and Protecting Threatened Wildlife on Roads and Roadsides A Simple Semi-Supervised Learning Framework for Object Detection

Reference 21

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This paper cites Unbiased Teacher for Semi-Supervised Object Detection.

Endangered Alert: A Field-Validated Self-Training Scheme for Detecting and Protecting Threatened Wildlife on Roads and Roadsides Unbiased Teacher for Semi-Supervised Object Detection

Reference 22

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This paper cites Interactive self- training with mean teachers for semi-supervised object detection,.

Endangered Alert: A Field-Validated Self-Training Scheme for Detecting and Protecting Threatened Wildlife on Roads and Roadsides Interactive self- training with mean teachers for semi-supervised object detection,

Reference 23

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This paper cites Watch and learn: Semi- supervised learning for object detectors from video,.

Endangered Alert: A Field-Validated Self-Training Scheme for Detecting and Protecting Threatened Wildlife on Roads and Roadsides Watch and learn: Semi- supervised learning for object detectors from video,

Reference 24

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This paper cites Large scale semi-supervised object detection using visual and seman- tic knowledge transfer,.

Endangered Alert: A Field-Validated Self-Training Scheme for Detecting and Protecting Threatened Wildlife on Roads and Roadsides Large scale semi-supervised object detection using visual and seman- tic knowledge transfer,

Reference 25

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This paper cites Automatic adaptation of object detectors to new domains using self-training,.

Endangered Alert: A Field-Validated Self-Training Scheme for Detecting and Protecting Threatened Wildlife on Roads and Roadsides Automatic adaptation of object detectors to new domains using self-training,

Reference 26

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Observation 79ce5b3c-f6ec-4c99-b861-16963967352d · outbound

This paper cites Semi-supervised self-training of object detection models,.

Endangered Alert: A Field-Validated Self-Training Scheme for Detecting and Protecting Threatened Wildlife on Roads and Roadsides Semi-supervised self-training of object detection models,

Reference 27

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This paper cites Grounding DINO 1.5: Advance the "Edge" of Open-Set Object Detection.

Endangered Alert: A Field-Validated Self-Training Scheme for Detecting and Protecting Threatened Wildlife on Roads and Roadsides Grounding DINO 1.5: Advance the "Edge" of Open-Set Object Detection

Reference 28

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Observation 71adbe3b-516b-445a-8886-8a1f3f458ba0 · outbound

This paper cites Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection.

Endangered Alert: A Field-Validated Self-Training Scheme for Detecting and Protecting Threatened Wildlife on Roads and Roadsides Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection

Reference 29

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This paper cites Learning transferable visual models from natural language supervision,.

Endangered Alert: A Field-Validated Self-Training Scheme for Detecting and Protecting Threatened Wildlife on Roads and Roadsides Learning transferable visual models from natural language supervision,

Reference 30

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This paper cites Segment anything,.

Endangered Alert: A Field-Validated Self-Training Scheme for Detecting and Protecting Threatened Wildlife on Roads and Roadsides Segment anything,

Reference 31

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This paper cites Scaling open-vocabulary object detection,.

Endangered Alert: A Field-Validated Self-Training Scheme for Detecting and Protecting Threatened Wildlife on Roads and Roadsides Scaling open-vocabulary object detection,

Reference 32

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Observation a8c30801-b49d-4231-b77a-2b8d32829ee2 · outbound

This paper cites Self-train: Self-supervised on-device training for post-deployment adaptation,.

Endangered Alert: A Field-Validated Self-Training Scheme for Detecting and Protecting Threatened Wildlife on Roads and Roadsides Self-train: Self-supervised on-device training for post-deployment adaptation,

Reference 33

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Observation 32c117e2-c412-4419-8b87-e2a9373eacad · outbound

This paper cites Train++: An incremental ml model training algorithm to create self-learning iot devices,.

Endangered Alert: A Field-Validated Self-Training Scheme for Detecting and Protecting Threatened Wildlife on Roads and Roadsides Train++: An incremental ml model training algorithm to create self-learning iot devices,

Reference 34

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This paper cites LiST: Lite Prompted Self-training Makes Parameter-Efficient Few-shot Learners.

Endangered Alert: A Field-Validated Self-Training Scheme for Detecting and Protecting Threatened Wildlife on Roads and Roadsides LiST: Lite Prompted Self-training Makes Parameter-Efficient Few-shot Learners

Reference 35

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This paper cites Tinytl: Reduce memory, not parameters for efficient on-device learning,.

Endangered Alert: A Field-Validated Self-Training Scheme for Detecting and Protecting Threatened Wildlife on Roads and Roadsides Tinytl: Reduce memory, not parameters for efficient on-device learning,

Reference 36

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This paper cites Rep-net: Efficient on-device learning via feature reprogramming,.

Endangered Alert: A Field-Validated Self-Training Scheme for Detecting and Protecting Threatened Wildlife on Roads and Roadsides Rep-net: Efficient on-device learning via feature reprogramming,

Reference 37

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This paper cites Mobiletl: on-device transfer learning with inverted residual blocks,.

Endangered Alert: A Field-Validated Self-Training Scheme for Detecting and Protecting Threatened Wildlife on Roads and Roadsides Mobiletl: on-device transfer learning with inverted residual blocks,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:55:06.551965Z

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This paper cites A joint energy and latency framework for transfer learning over 5g industrial edge networks,.

Endangered Alert: A Field-Validated Self-Training Scheme for Detecting and Protecting Threatened Wildlife on Roads and Roadsides A joint energy and latency framework for transfer learning over 5g industrial edge networks,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:55:06.531927Z

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This paper cites Accelerating on-device dnn training workloads via runtime convergence monitor,.

Endangered Alert: A Field-Validated Self-Training Scheme for Detecting and Protecting Threatened Wildlife on Roads and Roadsides Accelerating on-device dnn training workloads via runtime convergence monitor,

Reference 40

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Observation f152f6e0-9239-4c85-b977-a40c9f5e73ef · outbound

This paper cites Mobileda: Toward edge-domain adaptation,.

Endangered Alert: A Field-Validated Self-Training Scheme for Detecting and Protecting Threatened Wildlife on Roads and Roadsides Mobileda: Toward edge-domain adaptation,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:55:06.491267Z

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Observation 901fc3c7-5f4b-4c31-aa2d-a774c4a47a2d · outbound

This paper cites Communication-efficient learning of deep networks from decentral- ized data,.

Endangered Alert: A Field-Validated Self-Training Scheme for Detecting and Protecting Threatened Wildlife on Roads and Roadsides Communication-efficient learning of deep networks from decentral- ized data,

Reference 42

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Observation 7fbf13cf-c922-4fe9-83f2-5541be4f1c84 · outbound

This paper cites Federated learning in edge computing: a systematic survey,.

Endangered Alert: A Field-Validated Self-Training Scheme for Detecting and Protecting Threatened Wildlife on Roads and Roadsides Federated learning in edge computing: a systematic survey,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:55:06.460578Z

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Observation 7329efa2-f540-4472-8637-ecef8805460f · outbound

This paper cites A novel federated edge learning ap- proach for detecting cyberattacks in iot infrastructures,.

Endangered Alert: A Field-Validated Self-Training Scheme for Detecting and Protecting Threatened Wildlife on Roads and Roadsides A novel federated edge learning ap- proach for detecting cyberattacks in iot infrastructures,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:55:06.438217Z

Source-reported events for the cited work

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Observation d4b69c06-9c26-4602-be0e-81f312e84ac2 · outbound

This paper cites Federated learning for internet of things,.

Endangered Alert: A Field-Validated Self-Training Scheme for Detecting and Protecting Threatened Wildlife on Roads and Roadsides Federated learning for internet of things,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:55:06.414573Z

Source-reported events for the cited work

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Observation 41005661-e633-4142-b5ef-bc22d4ac1222 · outbound

This paper cites Yolov8: A novel object detection algorithm with enhanced performance and robustness,.

Endangered Alert: A Field-Validated Self-Training Scheme for Detecting and Protecting Threatened Wildlife on Roads and Roadsides Yolov8: A novel object detection algorithm with enhanced performance and robustness,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:55:06.398401Z

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 330eca35-a724-4eba-88ae-4e0a78e70c31 · outbound

This paper cites Wordnet,.

Endangered Alert: A Field-Validated Self-Training Scheme for Detecting and Protecting Threatened Wildlife on Roads and Roadsides Wordnet,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:55:06.379885Z

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 54be01df-cb57-420e-b8c5-b6afc06fcd90 · outbound

This paper cites Beyond Generation: Harnessing Text to Image Models for Object Detection and Segmentation.

Endangered Alert: A Field-Validated Self-Training Scheme for Detecting and Protecting Threatened Wildlife on Roads and Roadsides Beyond Generation: Harnessing Text to Image Models for Object Detection and Segmentation

Reference 48

Resolution: verified exact; local_arxiv, observed 2026-08-11T14:55:06.168185Z

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 21021d39-1d50-4afd-9c8b-58df7817122f · outbound

This paper cites Cut, paste and learn: Surpris- ingly easy synthesis for instance detection,.

Endangered Alert: A Field-Validated Self-Training Scheme for Detecting and Protecting Threatened Wildlife on Roads and Roadsides Cut, paste and learn: Surpris- ingly easy synthesis for instance detection,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:55:06.363302Z

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 8c8ddaf6-ec0f-436b-998d-a169d4afd0c3 · outbound

This paper cites Simple copy-paste is a strong data augmentation method for instance segmentation,.

Endangered Alert: A Field-Validated Self-Training Scheme for Detecting and Protecting Threatened Wildlife on Roads and Roadsides Simple copy-paste is a strong data augmentation method for instance segmentation,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:55:06.344024Z

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 7d30acd6-f9d5-4038-85c0-7abe9a4a3600 · outbound

This paper cites Microsoft coco: Common objects in context,.

Endangered Alert: A Field-Validated Self-Training Scheme for Detecting and Protecting Threatened Wildlife on Roads and Roadsides Microsoft coco: Common objects in context,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:55:06.327419Z

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 f583e084-89c3-4c86-83a7-93015951ac45 · outbound

This paper cites Cassowary casques act as thermal windows,.

Endangered Alert: A Field-Validated Self-Training Scheme for Detecting and Protecting Threatened Wildlife on Roads and Roadsides Cassowary casques act as thermal windows,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:55:06.307330Z

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

Observation f3e9a32d-74bd-40cf-8426-941ad2bd19ae · inbound

Animal Interaction with Autonomous Mobility Systems: Designing for Multi-Species Coexistence cites this paper.

Animal Interaction with Autonomous Mobility Systems: Designing for Multi-Species Coexistence Endangered Alert: A Field-Validated Self-Training Scheme for Detecting and Protecting Threatened Wildlife on Roads and Roadsides

Reference 44

Resolution: metadata mismatch; local_arxiv, observed 2026-08-06T15:19:19.030758Z

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.