Paper Citation Record · LEDGER

Mirror Target YOLO: An Improved YOLOv8 Method with Indirect Vision for Heritage Buildings Fire Detection

As of 18 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 0 inbound Pith citation observations for arXiv:2411.13997.

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

pith.paper-citation-record.v1
2411.13997 v1

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T15:42:17.629595Z

measured 39 of 39 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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

39 of 39 outbound references displayed

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verified fuzzy35
unresolved4
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c1c6c551-4f5a-43d8-9f1e-1785ab29e22b · outbound

This paper cites A multicriteria approach to identify the highest and best use for historical buildings,.

Mirror Target YOLO: An Improved YOLOv8 Method with Indirect Vision for Heritage Buildings Fire Detection A multicriteria approach to identify the highest and best use for historical buildings,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:42:18.337385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ba9c5508-0a9f-426b-a066-f4c8b5be65b2 · outbound

This paper cites Fire in heritage and historic buildings, a major challenge for the 21st century,.

Mirror Target YOLO: An Improved YOLOv8 Method with Indirect Vision for Heritage Buildings Fire Detection Fire in heritage and historic buildings, a major challenge for the 21st century,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:42:18.318137Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 0e001a9b-4b74-4860-948c-ff077d274100 · outbound

This paper cites Risk protection for cultural her- itage and historic centres: Current knowledge and further re- search needs,.

Mirror Target YOLO: An Improved YOLOv8 Method with Indirect Vision for Heritage Buildings Fire Detection Risk protection for cultural her- itage and historic centres: Current knowledge and further re- search needs,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:42:18.299647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d8d086b2-7c34-427b-8322-9091c30fe152 · outbound

This paper cites A survey on deep learning and its applications,.

Mirror Target YOLO: An Improved YOLOv8 Method with Indirect Vision for Heritage Buildings Fire Detection A survey on deep learning and its applications,

Reference 4

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Source-reported events for the cited work

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Observation 5586504c-d437-4292-add3-171603fef4e5 · outbound

This paper cites Research on fire alarm system,.

Mirror Target YOLO: An Improved YOLOv8 Method with Indirect Vision for Heritage Buildings Fire Detection Research on fire alarm system,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:42:18.266332Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 2cec87ce-6555-4d59-91c9-3063ceb2ed4b · outbound

This paper cites Automatic fire and smoke detection method for surveillance systems based on dilated cnns,.

Mirror Target YOLO: An Improved YOLOv8 Method with Indirect Vision for Heritage Buildings Fire Detection Automatic fire and smoke detection method for surveillance systems based on dilated cnns,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:42:18.249125Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 91b09ea7-b94e-4185-bc91-1c959d19bdeb · outbound

This paper cites Fire-net: A deep learning framework for active forest fire detection,.

Mirror Target YOLO: An Improved YOLOv8 Method with Indirect Vision for Heritage Buildings Fire Detection Fire-net: A deep learning framework for active forest fire detection,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:42:18.232238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 1ec98867-701a-4088-8579-b2e02459443f · outbound

This paper cites An improvement of the fire detection and classifi- cation method using yolov3 for surveillance systems,.

Mirror Target YOLO: An Improved YOLOv8 Method with Indirect Vision for Heritage Buildings Fire Detection An improvement of the fire detection and classifi- cation method using yolov3 for surveillance systems,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:42:18.215412Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 023119c7-05cb-4114-9d94-a2f53c5d6364 · outbound

This paper cites Attention mechanisms in computer vision: A survey,.

Mirror Target YOLO: An Improved YOLOv8 Method with Indirect Vision for Heritage Buildings Fire Detection Attention mechanisms in computer vision: A survey,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:42:18.198351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation de78f798-6dec-4ad1-88cd-38b90351a46c · outbound

This paper cites A comprehensive review of yolo architectures in computer vision: From yolov1 to yolov8 and yolo-nas,.

Mirror Target YOLO: An Improved YOLOv8 Method with Indirect Vision for Heritage Buildings Fire Detection A comprehensive review of yolo architectures in computer vision: From yolov1 to yolov8 and yolo-nas,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:42:18.179906Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 503b1267-5751-4777-9bcd-fd1dcba5f141 · outbound

This paper cites Investigating the critical issues in the conservation of heritage building: The case of china,.

Mirror Target YOLO: An Improved YOLOv8 Method with Indirect Vision for Heritage Buildings Fire Detection Investigating the critical issues in the conservation of heritage building: The case of china,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:42:18.161871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 7bba2476-1323-4980-94bf-69e8e1d9ab96 · outbound

This paper cites A review: The analysis of fires in chinese historic building and research progress on the fire protection,.

Mirror Target YOLO: An Improved YOLOv8 Method with Indirect Vision for Heritage Buildings Fire Detection A review: The analysis of fires in chinese historic building and research progress on the fire protection,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:42:18.143247Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 3b0c23f7-3381-406e-9d75-73d5e4a54185 · outbound

This paper cites Non-destructive techniques (ndt) for the diagnosis of heritage buildings: Traditional procedures and futures perspectives,.

Mirror Target YOLO: An Improved YOLOv8 Method with Indirect Vision for Heritage Buildings Fire Detection Non-destructive techniques (ndt) for the diagnosis of heritage buildings: Traditional procedures and futures perspectives,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:42:18.125204Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 9a8ed65b-3c31-49d6-a6c6-b83fc33fa2af · outbound

This paper cites Recent advances in sensors for fire detection,.

Mirror Target YOLO: An Improved YOLOv8 Method with Indirect Vision for Heritage Buildings Fire Detection Recent advances in sensors for fire detection,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:42:18.107775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 620c5f69-63b5-471e-98fa-bef414738f16 · outbound

This paper cites Wildland forest fire smoke detection based on faster r-cnn using synthetic smoke images,.

Mirror Target YOLO: An Improved YOLOv8 Method with Indirect Vision for Heritage Buildings Fire Detection Wildland forest fire smoke detection based on faster r-cnn using synthetic smoke images,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:42:18.090813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b9500fb0-16eb-4025-94c3-a7fa61aa8410 · outbound

This paper cites Inte- grating multiple factors to optimize watchtower deployment for wildfire detection,.

Mirror Target YOLO: An Improved YOLOv8 Method with Indirect Vision for Heritage Buildings Fire Detection Inte- grating multiple factors to optimize watchtower deployment for wildfire detection,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:42:18.071212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation c6816ce5-4295-42f0-9633-90c1368f460f · outbound

This paper cites Information-guided flame detection based on faster r-cnn,.

Mirror Target YOLO: An Improved YOLOv8 Method with Indirect Vision for Heritage Buildings Fire Detection Information-guided flame detection based on faster r-cnn,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:42:18.050955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 0ae9d341-3255-43d4-b7c2-4a59b4422365 · outbound

This paper cites Forest flame detection in unmanned aerial vehicle imagery based on yolov5,.

Mirror Target YOLO: An Improved YOLOv8 Method with Indirect Vision for Heritage Buildings Fire Detection Forest flame detection in unmanned aerial vehicle imagery based on yolov5,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:42:18.032280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b5e40d74-7bee-49a3-9c5b-5ea3a3fa38f4 · outbound

This paper cites Advancing pose-guided image synthesis with progressive con- ditional diffusion models,.

Mirror Target YOLO: An Improved YOLOv8 Method with Indirect Vision for Heritage Buildings Fire Detection Advancing pose-guided image synthesis with progressive con- ditional diffusion models,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:42:18.014873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d2daa508-8933-430c-8c44-e4ed14fae2e2 · outbound

This paper cites Boosting Consistency in Story Visualization with Rich-Contextual Conditional Diffusion Models.

Mirror Target YOLO: An Improved YOLOv8 Method with Indirect Vision for Heritage Buildings Fire Detection Boosting Consistency in Story Visualization with Rich-Contextual Conditional Diffusion Models

Reference 20

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Source-reported events for the cited work

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Observation 8203c3c6-335d-497e-a0ba-34c97a0e4767 · outbound

This paper cites An improved fire detection approach based on yolo-v8 for smart cities,.

Mirror Target YOLO: An Improved YOLOv8 Method with Indirect Vision for Heritage Buildings Fire Detection An improved fire detection approach based on yolo-v8 for smart cities,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:42:17.996803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 149dd2e7-3b21-4e83-b3bd-38228953ba35 · outbound

This paper cites Mirror training device improves dental students’ performance on virtual simulation dental training system,.

Mirror Target YOLO: An Improved YOLOv8 Method with Indirect Vision for Heritage Buildings Fire Detection Mirror training device improves dental students’ performance on virtual simulation dental training system,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:42:17.979504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 7d84d61f-58d7-46b6-8e40-6b1f2f199511 · outbound

This paper cites Enhancing landslide segmentation with guide attention mechanism and fast fourier transformer,.

Mirror Target YOLO: An Improved YOLOv8 Method with Indirect Vision for Heritage Buildings Fire Detection Enhancing landslide segmentation with guide attention mechanism and fast fourier transformer,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-12T15:42:17.551616Z

Source-reported events for the cited work

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Observation 821a22c7-c8ea-4882-a5fc-580b1efef422 · outbound

This paper cites Triplet Contrastive Representation Learning for Unsupervised Vehicle Re-identification.

Mirror Target YOLO: An Improved YOLOv8 Method with Indirect Vision for Heritage Buildings Fire Detection Triplet Contrastive Representation Learning for Unsupervised Vehicle Re-identification

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-12T15:42:17.556220Z

Source-reported events for the cited work

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Observation 8c42ab66-85b9-4607-8753-9a73ba29bbce · outbound

This paper cites Attending overtaking cars and motorcycles through the mirrors before changing lanes,.

Mirror Target YOLO: An Improved YOLOv8 Method with Indirect Vision for Heritage Buildings Fire Detection Attending overtaking cars and motorcycles through the mirrors before changing lanes,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:42:17.951363Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 5318804f-3654-4bf4-b97d-ebb52fff701d · outbound

This paper cites A novel multi-frequency coordinated module for sar ship detection,.

Mirror Target YOLO: An Improved YOLOv8 Method with Indirect Vision for Heritage Buildings Fire Detection A novel multi-frequency coordinated module for sar ship detection,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:42:17.934669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 1aaf2c28-887a-4628-bd55-0721023edd50 · outbound

This paper cites A novel cross frequency-domain interaction learning for aerial oriented object detection,.

Mirror Target YOLO: An Improved YOLOv8 Method with Indirect Vision for Heritage Buildings Fire Detection A novel cross frequency-domain interaction learning for aerial oriented object detection,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:42:17.918029Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 3dd8303a-b093-4fad-aa0c-07ec6788d2c0 · outbound

This paper cites An improved forest fire detection method based on the detectron2 model and a deep learning approach,.

Mirror Target YOLO: An Improved YOLOv8 Method with Indirect Vision for Heritage Buildings Fire Detection An improved forest fire detection method based on the detectron2 model and a deep learning approach,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:42:17.901215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation f8a0a7c5-19fa-498b-b5df-ce3fcca210fc · outbound

This paper cites Fire-yolo: A small target object detection method for fire inspection,.

Mirror Target YOLO: An Improved YOLOv8 Method with Indirect Vision for Heritage Buildings Fire Detection Fire-yolo: A small target object detection method for fire inspection,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:42:17.884022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ec10a235-43bd-4bdc-b49d-4b8a906bf99d · outbound

This paper cites Attention based cnn model for fire detection and localization in real-world images,.

Mirror Target YOLO: An Improved YOLOv8 Method with Indirect Vision for Heritage Buildings Fire Detection Attention based cnn model for fire detection and localization in real-world images,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:42:17.867294Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 072951f8-1e34-4cd7-b774-3bdfcac3e20c · outbound

This paper cites Cbam: Convolutional block attention module,.

Mirror Target YOLO: An Improved YOLOv8 Method with Indirect Vision for Heritage Buildings Fire Detection Cbam: Convolutional block attention module,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:42:17.850590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 8c9a92fa-af5d-45df-8a4b-e0e0cf6a60b5 · outbound

This paper cites Coordinate attention for efficient mobile network design,.

Mirror Target YOLO: An Improved YOLOv8 Method with Indirect Vision for Heritage Buildings Fire Detection Coordinate attention for efficient mobile network design,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:42:17.834066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 817d02d0-ccb5-451d-be81-4d7da6698748 · outbound

This paper cites Sa-net: Shuffle attention for deep convolutional neural networks,.

Mirror Target YOLO: An Improved YOLOv8 Method with Indirect Vision for Heritage Buildings Fire Detection Sa-net: Shuffle attention for deep convolutional neural networks,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:42:17.817701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 0432ed58-0019-4767-9a7c-e2b94d4de676 · outbound

This paper cites Fast and accurate detection of kiwifruit in orchard using improved yolov3-tiny model,.

Mirror Target YOLO: An Improved YOLOv8 Method with Indirect Vision for Heritage Buildings Fire Detection Fast and accurate detection of kiwifruit in orchard using improved yolov3-tiny model,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:42:17.800151Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation c674770f-c3a3-4fb5-8df0-3d5d5391db0f · outbound

This paper cites Application of local fully convolutional neural network combined with yolo v5 algorithm in small target detection of remote sensing image,.

Mirror Target YOLO: An Improved YOLOv8 Method with Indirect Vision for Heritage Buildings Fire Detection Application of local fully convolutional neural network combined with yolo v5 algorithm in small target detection of remote sensing image,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:42:17.781351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation aa3f6443-dcca-408c-931d-96d6aabcc072 · outbound

This paper cites Tea tree pest de- tection algorithm based on improved yolov7-tiny,.

Mirror Target YOLO: An Improved YOLOv8 Method with Indirect Vision for Heritage Buildings Fire Detection Tea tree pest de- tection algorithm based on improved yolov7-tiny,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:42:17.763328Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 3a29e1cd-ea75-4d52-81af-328e904d3e3d · outbound

This paper cites Dc-yolov8: small-size object detection algorithm based on camera sensor,.

Mirror Target YOLO: An Improved YOLOv8 Method with Indirect Vision for Heritage Buildings Fire Detection Dc-yolov8: small-size object detection algorithm based on camera sensor,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:42:17.745487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e1b63e92-a23f-4947-b4da-3dfa3238d5ee · outbound

This paper cites Research on fire smoke detection algorithm based on improved yolov8,.

Mirror Target YOLO: An Improved YOLOv8 Method with Indirect Vision for Heritage Buildings Fire Detection Research on fire smoke detection algorithm based on improved yolov8,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:42:17.727556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 513634f9-d64a-42d1-b723-c1c019f35db2 · outbound

This paper cites Yolov9: Learning what you want to learn using programmable gradient informa- tion,.

Mirror Target YOLO: An Improved YOLOv8 Method with Indirect Vision for Heritage Buildings Fire Detection Yolov9: Learning what you want to learn using programmable gradient informa- tion,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:42:17.709721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Pith citing papers

No inbound Pith citation observations are available.