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Paper Citation Record · LEDGER

Performance of YOLOv7 in Kitchen Safety While Handling Knife

As of 19 August 2026, this Paper Citation Record lists 56 of 56 outbound references and 0 inbound Pith citation observations for arXiv:2501.05399.

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

pith.paper-citation-record.v1
2501.05399 v1

Coverage vector

measured 56 of 56 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T21:15:57.458407Z

measured 56 of 56 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

56 of 56 outbound references displayed

  • verified exact1
  • verified fuzzy15
  • unresolved40
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 96abbe19-a638-4b06-a387-237d672b0005 · outbound

This paper cites Comparative study of computational time that hog-based features used for vehicle detection.

Performance of YOLOv7 in Kitchen Safety While Handling Knife Comparative study of computational time that hog-based features used for vehicle detection

Reference 1

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raw_fallback, observed 2026-08-10T21:15:57.970090Z

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.

source=pdf_text observed=2026-08-10T21:15:57.241152Z digest=sha256:4fd99b26a69704dcadcc0c435907ad91f58cdf414313446a63bd913dd840a588

Observation 50ca6419-7913-4681-b52f-1d504de6b696 · outbound

This paper cites On combining classifiers.

Performance of YOLOv7 in Kitchen Safety While Handling Knife On combining classifiers

Reference 2

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source=pdf_text observed=2026-08-10T21:15:57.245575Z digest=sha256:217502250ffea6d8ef017308874b3d12285de8de27220e6bc0235cefc7a15c69

Observation 4fed9955-f9b1-47de-bc6d-d0a6fae3c195 · outbound

This paper cites Action recognition by dense trajectories.

Performance of YOLOv7 in Kitchen Safety While Handling Knife Action recognition by dense trajectories

Reference 3

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source=pdf_text observed=2026-08-10T21:15:57.249242Z digest=sha256:ebd060d531ef730909c08656ddd51f996ef00a538ebc7c399b39a9c9eeaf8b4a

Observation bfc12ff0-c6f8-4156-abc2-700258d00a31 · outbound

This paper cites A database for fine grained activity detection of cooking activities.

Performance of YOLOv7 in Kitchen Safety While Handling Knife A database for fine grained activity detection of cooking activities

Reference 4

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source=pdf_text observed=2026-08-10T21:15:57.253267Z digest=sha256:c5180007afd0ebfd41e2fa494a31d491edf0e28159d56e168a1b6c2c82fcb9a2

Observation 6b5724a8-3d48-4f4e-af28-63f52761212c · outbound

This paper cites Gun and knife detection based on faster r-cnn for video surveillance.

Performance of YOLOv7 in Kitchen Safety While Handling Knife Gun and knife detection based on faster r-cnn for video surveillance

Reference 5

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source=pdf_text observed=2026-08-10T21:15:57.257031Z digest=sha256:cb490a930d4b718b66308851d1ce448add749a95de89786cd313383acb0d4ad9

Observation 8eb178e7-2ea5-45da-b56c-59049d11af75 · outbound

This paper cites Deep residual learning for image recognition.

Performance of YOLOv7 in Kitchen Safety While Handling Knife Deep residual learning for image recognition

Reference 6

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source=pdf_text observed=2026-08-10T21:15:57.260767Z digest=sha256:5c0f90f67e3a2a021096b7ddcb0085926b3fce4360f96c00ad88f4cea289eb4e

Observation 3b88d2c2-1c16-4751-86d4-4cc832147651 · outbound

This paper cites Stable and compact design of memristive googlenet neural network.

Performance of YOLOv7 in Kitchen Safety While Handling Knife Stable and compact design of memristive googlenet neural network

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:15:57.924088Z

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.

source=pdf_text observed=2026-08-10T21:15:57.265084Z digest=sha256:e522d0757e7f260d7f37d6e3bb5d657ef5afdf39812a4863b600ff3d8666071b

Observation 4f0e5624-6e95-41a8-8ae9-ec5672c027e3 · outbound

This paper cites Rich feature hierarchies for accurate object detection and semantic segmentation.

Performance of YOLOv7 in Kitchen Safety While Handling Knife Rich feature hierarchies for accurate object detection and semantic segmentation

Reference 8

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:15:57.268622Z digest=sha256:4aafb231ca2d8e4795a5596e6d01e221afe7e67c609477d8e23d51f4e8d90f04

Observation 6d84bd9a-5e0b-4390-8fcf-2ef0b599465d · outbound

This paper cites Brain tumor detection using mask r-cnn.

Performance of YOLOv7 in Kitchen Safety While Handling Knife Brain tumor detection using mask r-cnn

Reference 10

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source=pdf_text observed=2026-08-10T21:15:57.276259Z digest=sha256:01b0d496ce4e5ec12e8f6f1625faaa0a5d9c61d8b4d7fcd9b67dfc80adc61709

Observation df5337c3-02f5-404b-8522-0cbdf7c8a9c9 · outbound

This paper cites Pedestrian detection based on faster r-cnn.

Performance of YOLOv7 in Kitchen Safety While Handling Knife Pedestrian detection based on faster r-cnn

Reference 11

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source=pdf_text observed=2026-08-10T21:15:57.280000Z digest=sha256:03cb0c1ebbbe6395464c33218052a49794fcb2db3def8a2c1ee8e301a5eca8d8

Observation 2f85ec26-8909-4c74-8857-12962ea8b018 · outbound

This paper cites Classification of picture art style based on vggnet.

Performance of YOLOv7 in Kitchen Safety While Handling Knife Classification of picture art style based on vggnet

Reference 12

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source=pdf_text observed=2026-08-10T21:15:57.283862Z digest=sha256:6618f4cec3dbb706e6c69b2509435fad179250407e00f4e1d75309dc5010fed9

Observation f651af75-f920-4007-9531-75d566b5aa25 · outbound

This paper cites Yolo-v5 variant selection algorithm coupled with representative augmentations for modelling production-based variance in automated lightweight pallet racking inspection.

Performance of YOLOv7 in Kitchen Safety While Handling Knife Yolo-v5 variant selection algorithm coupled with representative augmentations for modelling production-based variance in automated lightweight pallet racking inspection

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:15:57.877009Z

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.

source=pdf_text observed=2026-08-10T21:15:57.287565Z digest=sha256:d0cc8b45683e1fef8e7f8e3e877cf3b6c78fe75c8bd20f5c7c6eb28c9ad192a0

Observation d8d55fd8-b500-4c76-bb19-8a884c8d2923 · outbound

This paper cites You only look once: Unified, real-time object detection.

Performance of YOLOv7 in Kitchen Safety While Handling Knife You only look once: Unified, real-time object detection

Reference 14

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source=pdf_text observed=2026-08-10T21:15:57.291466Z digest=sha256:2119f1e56f4dede17871e835357b550c9855a09ae76dd3525fc1e05aa930e35c

Observation f4778b26-9b67-4b10-a9dd-5b9a518991df · outbound

This paper cites Yolo9000: better, faster, stronger.

Performance of YOLOv7 in Kitchen Safety While Handling Knife Yolo9000: better, faster, stronger

Reference 15

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:15:57.295585Z digest=sha256:d3330304228bf6343042ed149aa0aa701399bd0b4c98a79fc3bef239adaa2420

Observation f6550e32-7953-4904-b28f-422441c1993d · outbound

This paper cites YOLOv3: An Incremental Improvement.

Performance of YOLOv7 in Kitchen Safety While Handling Knife YOLOv3: An Incremental Improvement

Reference 16

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source=pdf_text observed=2026-08-10T21:15:57.299118Z digest=sha256:5c4b1144d0115e5235235c8744b9ff663f40c12ce96226e69506b81690e0f1d8

Observation ba30f674-7265-428a-a409-74a871ee1bb8 · outbound

This paper cites YOLOv4: Optimal Speed and Accuracy of Object Detection.

Performance of YOLOv7 in Kitchen Safety While Handling Knife YOLOv4: Optimal Speed and Accuracy of Object Detection

Reference 17

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source=pdf_text observed=2026-08-10T21:15:57.303373Z digest=sha256:446720de03402fc4c02ee03c8273f0c5ed84039e184f865c33f8ee2007c4d258

Observation 50393adc-fcd7-49c5-a47c-057a3c82db81 · outbound

This paper cites Comprehensive guide to ultralytics yolov5, 2023.

Performance of YOLOv7 in Kitchen Safety While Handling Knife Comprehensive guide to ultralytics yolov5, 2023

Reference 18

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:15:57.307251Z digest=sha256:f9b49f66e02408c871179cd811815e6e00603e8d267ed5761e09d8b50ed06e0e

Observation 7616322b-285a-4883-9411-92fae25ede9a · outbound

This paper cites YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications.

Performance of YOLOv7 in Kitchen Safety While Handling Knife YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications

Reference 19

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source=pdf_text observed=2026-08-10T21:15:57.311253Z digest=sha256:e083ca7fc3ed1e0c48337afcd12d5efa2094b8069d3b4b2ddf5726fda182a02e

Observation 54b70c3f-34e0-4788-bf70-88455a4cac17 · outbound

This paper cites Yolo: A brief history, 2023.

Performance of YOLOv7 in Kitchen Safety While Handling Knife Yolo: A brief history, 2023

Reference 21

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source=pdf_text observed=2026-08-10T21:15:57.319559Z digest=sha256:6d20810c9a716156d3fa21e7a45341f6a427133fb1299a4cb9c45ca16294947b

Observation b11cbf6e-f347-4308-85d8-9e7438115544 · outbound

This paper cites Isolated bangla handwritten character recognition with convolutional neural network.

Performance of YOLOv7 in Kitchen Safety While Handling Knife Isolated bangla handwritten character recognition with convolutional neural network

Reference 22

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source=pdf_text observed=2026-08-10T21:15:57.323038Z digest=sha256:442c55cffad254c8af17525c6f1aafad8d7ba034a293853753cbe04097d131e2

Observation 5cc69f97-3f86-4ea2-b5ad-253160126cb9 · outbound

This paper cites Slice&dice: Recognizing food preparation activities using embedded accelerom- eters.

Performance of YOLOv7 in Kitchen Safety While Handling Knife Slice&dice: Recognizing food preparation activities using embedded accelerom- eters

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:15:57.823842Z

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.

source=pdf_text observed=2026-08-10T21:15:57.326623Z digest=sha256:2c36c1cafd9a0d11e3e154e060d17ad1fdf2a0c1a4e1030b9f2f278c2adeda87

Observation b0f8a4a8-a15a-4bc9-8f9c-a25c748f854f · outbound

This paper cites Combining embedded accelerometers with computer vision for recognizing food preparation activities.

Performance of YOLOv7 in Kitchen Safety While Handling Knife Combining embedded accelerometers with computer vision for recognizing food preparation activities

Reference 24

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source=pdf_text observed=2026-08-10T21:15:57.330228Z digest=sha256:bafb1e10ae94a664d01250711a9104fc0e0263422b178caed930f70aedd51584

Observation 1a716dbe-c154-4825-b5bf-a39e111683f1 · outbound

This paper cites Knife detection as a subset of object detection approach based on haar cascades.

Performance of YOLOv7 in Kitchen Safety While Handling Knife Knife detection as a subset of object detection approach based on haar cascades

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:15:57.804166Z

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.

source=pdf_text observed=2026-08-10T21:15:57.334655Z digest=sha256:7a8a649f61fbefb90cda95676751b311b39a7e895325708d156635106fc5af56

Observation a7a14810-0e81-4f87-8e78-0837eda30892 · outbound

This paper cites Custom lightweight convolutional neural network architecture for automated detection of damaged pallet racking in warehousing & distribution centers.

Performance of YOLOv7 in Kitchen Safety While Handling Knife Custom lightweight convolutional neural network architecture for automated detection of damaged pallet racking in warehousing & distribution centers

Reference 26

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source=pdf_text observed=2026-08-10T21:15:57.338330Z digest=sha256:1165680b11f3c9a7c7f7a4e7ea96793b8ec9cb95cad9f2fdc4f9982ed3437bca

Observation 126a13bb-4b5d-4de5-9515-74267501fa4d · outbound

This paper cites Feature mapping for rice leaf defect detection based on a custom convolutional architecture.

Performance of YOLOv7 in Kitchen Safety While Handling Knife Feature mapping for rice leaf defect detection based on a custom convolutional architecture

Reference 27

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source=pdf_text observed=2026-08-10T21:15:57.341911Z digest=sha256:7d336859034bd3cb97c4c10de60ac32741dc232d28e03716cfe38ec0d2640dd1

Observation aaf400bb-0064-4813-b67a-f19f87e63f5c · outbound

This paper cites Imagenet classification with deep convolutional neural networks.

Performance of YOLOv7 in Kitchen Safety While Handling Knife Imagenet classification with deep convolutional neural networks

Reference 28

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source=pdf_text observed=2026-08-10T21:15:57.345446Z digest=sha256:aea61b49565eba6eac0a84ebbd86397bbe12a6d85c00f6830c9b655656c2a7fd

Observation 5ccf7d37-101c-4670-8c8c-f413f5e3ec3d · outbound

This paper cites Detection of safety helmet wearing based on improved faster r-cnn.

Performance of YOLOv7 in Kitchen Safety While Handling Knife Detection of safety helmet wearing based on improved faster r-cnn

Reference 29

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verified fuzzy
raw_fallback, observed 2026-08-10T21:15:57.778857Z

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.

source=pdf_text observed=2026-08-10T21:15:57.349440Z digest=sha256:87f704a83ad5ef9dbbe678c0afb2ecd75fb61d0424619a5ea540c2f7eb9bcbc2

Observation 25484427-d576-4a61-962f-ca0df057e9e0 · outbound

This paper cites Knife and Threat Detectors.

Performance of YOLOv7 in Kitchen Safety While Handling Knife Knife and Threat Detectors

Reference 30

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verified exact
local_arxiv, observed 2026-08-10T21:15:57.537030Z

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.

source=pdf_text observed=2026-08-10T21:15:57.353230Z digest=sha256:9fa2d6b1130e6c7e706b7c4262e88525d519aaf2a0efa97ff99a2c87dcca553a

Observation 1bed3a8f-f649-4eeb-86ab-2a8f69c7cac3 · outbound

This paper cites Using deep convolutional neural network architectures for object classification and detection within x-ray baggage security imagery.

Performance of YOLOv7 in Kitchen Safety While Handling Knife Using deep convolutional neural network architectures for object classification and detection within x-ray baggage security imagery

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:15:57.767787Z

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.

source=pdf_text observed=2026-08-10T21:15:57.357139Z digest=sha256:7a335912e541ca02383be5f87ed5aa02490863c24794e07348071a66876a0cd5

Observation 8f247c30-106e-4c30-8c54-b5f599664986 · outbound

This paper cites A frame-work assisting the visually impaired people: common object detection and pose estimation in surrounding environment.

Performance of YOLOv7 in Kitchen Safety While Handling Knife A frame-work assisting the visually impaired people: common object detection and pose estimation in surrounding environment

Reference 32

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-10T21:15:57.360708Z digest=sha256:6a61dbc9a74ca27aeec5fe7e8e214ba60ccf3cc09267d226e039266241cd8e0c

Observation 57dccc43-371f-4ffc-b8a3-54c632b0a2f2 · outbound

This paper cites An evaluation of yolo-based algorithms for hand detection in the kitchen.

Performance of YOLOv7 in Kitchen Safety While Handling Knife An evaluation of yolo-based algorithms for hand detection in the kitchen

Reference 33

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source=pdf_text observed=2026-08-10T21:15:57.364482Z digest=sha256:1eeec52cec049057242925ba5db429dcb4fcef3f011c628cebaae353da488178

Observation f9dec9b1-dd02-438f-83ee-96c59f22b43f · outbound

This paper cites Improved yolov4 algorithm for safety management of on-site power system work.

Performance of YOLOv7 in Kitchen Safety While Handling Knife Improved yolov4 algorithm for safety management of on-site power system work

Reference 34

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unresolved
no resolver link, observed 2026-08-10T21:15:57.368072Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:15:57.368072Z digest=sha256:4b3139836d9d8f117ee44b45bbdce4af5c3b82631cf422f0fd7a19bdd7fe53f4

Observation 7ea82fce-6471-4544-8fa4-a4287387d821 · outbound

This paper cites Real-time multiple object tracking for safe cooking activities.

Performance of YOLOv7 in Kitchen Safety While Handling Knife Real-time multiple object tracking for safe cooking activities

Reference 35

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no resolver link, observed 2026-08-10T21:15:57.371807Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:15:57.371807Z digest=sha256:774879943b71278e5c5ca6c2388f0029d9d23e536220a19664fa6bf5291d2e40

Observation 9185cc2a-81c7-412e-a2ca-6e5efbc47424 · outbound

This paper cites Realtime mask detection of kitchen staff using yolov5 and edge computing.

Performance of YOLOv7 in Kitchen Safety While Handling Knife Realtime mask detection of kitchen staff using yolov5 and edge computing

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:15:57.730426Z

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.

source=pdf_text observed=2026-08-10T21:15:57.375758Z digest=sha256:4aaf4d6bbcbbc14a0a4f974641aae345aa78c6697666ba3cd025ce7fad63bf1a

Observation 5a82cbda-8a67-46f2-8c75-77c7de106747 · outbound

This paper cites Augmented reality based interactive cooking guide.

Performance of YOLOv7 in Kitchen Safety While Handling Knife Augmented reality based interactive cooking guide

Reference 37

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source=pdf_text observed=2026-08-10T21:15:57.379300Z digest=sha256:24775546680a0c0628bb0fcb3b6d068b4cc723daf9a163115b837db02c87ef93

Observation 10a018d9-0c1e-4326-a77c-53dc6db20f8a · outbound

This paper cites Cooktop sensing based on a yolo object detection algorithm.

Performance of YOLOv7 in Kitchen Safety While Handling Knife Cooktop sensing based on a yolo object detection algorithm

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:15:57.711765Z

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.

source=pdf_text observed=2026-08-10T21:15:57.382987Z digest=sha256:5aa3cdc8720927ded2b543109ab5c58a7d56047ff81a531120946aae9c1467eb

Observation 09a90fe8-bb80-4579-bff7-927a89f15865 · outbound

This paper cites A yolov6-based improved fire detection approach for smart city environments.

Performance of YOLOv7 in Kitchen Safety While Handling Knife A yolov6-based improved fire detection approach for smart city environments

Reference 39

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:15:57.386632Z digest=sha256:4002944a359190cb8f5301f4a9c0490e1edbf58eaa88a7191a78fce05bc6cebc

Observation d2fae8e2-d6d6-4a6c-b323-629496c4b90a · outbound

This paper cites Detection of guns and knives images based on yolo v7.

Performance of YOLOv7 in Kitchen Safety While Handling Knife Detection of guns and knives images based on yolo v7

Reference 40

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-10T21:15:57.390149Z digest=sha256:95f399a6e1ac8e33efe796dee9ac592f279881976008cb5c4c76333366886310

Observation 184f4bdb-fdf8-4189-9b5a-9b56777b0623 · outbound

This paper cites Real time object detection with data variation.

Performance of YOLOv7 in Kitchen Safety While Handling Knife Real time object detection with data variation

Reference 41

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no resolver link, observed 2026-08-10T21:15:57.393818Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-10T21:15:57.393818Z digest=sha256:9446be4a28155828df37b6d2fbbc51690829251d130d353591a193e7dbabe19a

Observation 0b1c0b3f-65d7-4a50-87f2-1b76869e7c45 · outbound

This paper cites An automated alert system for monitoring the hygiene in restaurants using machine vision.

Performance of YOLOv7 in Kitchen Safety While Handling Knife An automated alert system for monitoring the hygiene in restaurants using machine vision

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:15:57.681363Z

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.

source=pdf_text observed=2026-08-10T21:15:57.397908Z digest=sha256:14f09e3079f7351a66a9e01aea05718e8bd2e258af7573d8b0d5f1d12a51fc5f

Observation 7754de31-e981-4605-b81c-b930e054200f · outbound

This paper cites Gc-yolov9: Innovative smart city traffic monitoring solution.

Performance of YOLOv7 in Kitchen Safety While Handling Knife Gc-yolov9: Innovative smart city traffic monitoring solution

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:15:57.669992Z

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.

source=pdf_text observed=2026-08-10T21:15:57.401433Z digest=sha256:407d6ac9378029eabda4694f330f88b26cc4c743a115d7f4db3c120b925982cc

Observation ea091045-d76d-45e9-a612-7ec5112e6dc8 · outbound

This paper cites A Comparative Analysis of YOLOv5, YOLOv8, and YOLOv10 in Kitchen Safety.

Performance of YOLOv7 in Kitchen Safety While Handling Knife A Comparative Analysis of YOLOv5, YOLOv8, and YOLOv10 in Kitchen Safety

Reference 44

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no resolver link, observed 2026-08-10T21:15:57.405466Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:15:57.405466Z digest=sha256:cbf7911112846b0c9f2ec39e0d0c0707b9fa19d8438adec994a2052ea2ad0f3c

Observation b7a9efcb-add6-447c-be06-434541523e5b · outbound

This paper cites Comparative analysis of yolov8 and yolov10 in vehicle detection: Performance metrics and model efficacy.Vehicles, 6(3):1364– 1382, 2024.

Performance of YOLOv7 in Kitchen Safety While Handling Knife Comparative analysis of yolov8 and yolov10 in vehicle detection: Performance metrics and model efficacy.Vehicles, 6(3):1364– 1382, 2024

Reference 45

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no resolver link, observed 2026-08-10T21:15:57.409602Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-10T21:15:57.409602Z digest=sha256:5647edec9030af47f99032e311a243796dacb5f23d7726b42a6dfe4985d58801

Observation 3b8084a0-80bf-4774-a257-61f70aa6d9bd · outbound

This paper cites Comparing YOLOv5 Variants for Vehicle Detection: A Performance Analysis.

Performance of YOLOv7 in Kitchen Safety While Handling Knife Comparing YOLOv5 Variants for Vehicle Detection: A Performance Analysis

Reference 46

Resolution
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no resolver link, observed 2026-08-10T21:15:57.413586Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:15:57.413586Z digest=sha256:f0ae59518423fed7e8bdbef6bb6862fd233f47018f75716babf6644332f75d3f

Observation be17bab0-10dc-4d3d-b1ab-ad02d38fe017 · outbound

This paper cites What is YOLOv6? A Deep Insight into the Object Detection Model.

Performance of YOLOv7 in Kitchen Safety While Handling Knife What is YOLOv6? A Deep Insight into the Object Detection Model

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-10T21:15:57.417539Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:15:57.417539Z digest=sha256:69a41a6396a259ec53f923c0d3a9fde8d5cc21a5faa2c733eaf8dd40702e4e75

Observation 2b8c5b0d-b7c5-4731-90ed-ce1c48330b33 · outbound

This paper cites A gradient guided architecture coupled with filter fused representations for micro-crack detection in photovoltaic cell surfaces.

Performance of YOLOv7 in Kitchen Safety While Handling Knife A gradient guided architecture coupled with filter fused representations for micro-crack detection in photovoltaic cell surfaces

Reference 48

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unresolved
no resolver link, observed 2026-08-10T21:15:57.421248Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:15:57.421248Z digest=sha256:56f530755c7aeb755247eed6b9d1c6c81a6f4c50b911b9fc1d2858c187cb1a31

Observation 2a39ff8c-3ff0-44b0-b3f7-74d83a72d7e1 · outbound

This paper cites Domain modelling for a lightweight convolutional network focused on automated exudate detection in retinal fundus images.

Performance of YOLOv7 in Kitchen Safety While Handling Knife Domain modelling for a lightweight convolutional network focused on automated exudate detection in retinal fundus images

Reference 49

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no resolver link, observed 2026-08-10T21:15:57.425562Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-10T21:15:57.425562Z digest=sha256:10c561f6ab696052fbf78824df4023d8a8d960b81c296e40d406068246ac3d99

Observation 931ec17d-6fc6-4b61-8f37-f25046697f3d · outbound

This paper cites Child emotion recognition via custom lightweight cnn architecture.

Performance of YOLOv7 in Kitchen Safety While Handling Knife Child emotion recognition via custom lightweight cnn architecture

Reference 50

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no resolver link, observed 2026-08-10T21:15:57.429170Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:15:57.429170Z digest=sha256:649476eb2769693bebebd51a90196099fba28c919f9b0e9f6b69ea72c6ebe7e4

Observation 76ceebd0-6a5d-4647-9b20-486110b3b032 · outbound

This paper cites YOLOv1 to YOLOv10: A comprehensive review of YOLO variants and their application in the agricultural domain.

Performance of YOLOv7 in Kitchen Safety While Handling Knife YOLOv1 to YOLOv10: A comprehensive review of YOLO variants and their application in the agricultural domain

Reference 51

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unresolved
no resolver link, observed 2026-08-10T21:15:57.432554Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:15:57.432554Z digest=sha256:2f28b3c8c090a634421e52f7cd954d18d91d1fb404ee0e82b9e46508764ed024

Observation e352566e-b097-472e-a91b-8d37dfdd548b · outbound

This paper cites Yolov7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors.

Performance of YOLOv7 in Kitchen Safety While Handling Knife Yolov7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

Reference 52

Resolution
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no resolver link, observed 2026-08-10T21:15:57.436939Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-10T21:15:57.436939Z digest=sha256:dbdced1bf2927087b51c0c4004e289e4e9184a0384a2915376b5aa45ed77ff7f

Observation 5658cc78-c4a5-43f9-8049-29024d69f7dc · outbound

This paper cites What is yolov7? a complete guide, 2024.

Performance of YOLOv7 in Kitchen Safety While Handling Knife What is yolov7? a complete guide, 2024

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:15:57.630542Z

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.

source=pdf_text observed=2026-08-10T21:15:57.440653Z digest=sha256:90072fa5954351142487401a037926681999fe3afbf1320d5e9551aa79c13bb8

Observation 03bc5588-d9da-43a8-9d0f-820e07634494 · outbound

This paper cites Yolov7 object detection paper explanation & inference, 2022.

Performance of YOLOv7 in Kitchen Safety While Handling Knife Yolov7 object detection paper explanation & inference, 2022

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:15:57.618450Z

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.

source=pdf_text observed=2026-08-10T21:15:57.444639Z digest=sha256:83440e9761b42aa14099bc2584f47f588d718bff244dbfa880a94b46473c4c54

Observation ba9fd1dd-f708-48e8-9dbc-4ad1ae0ed18c · outbound

This paper cites Deployment of ai-based rbf network for photovoltaics fault detection procedure.

Performance of YOLOv7 in Kitchen Safety While Handling Knife Deployment of ai-based rbf network for photovoltaics fault detection procedure

Reference 55

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unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:15:57.448262Z digest=sha256:89121d3e82c521e27eecb8cb7b1bead65479898d39d82f931c6ca39111ceec4c

Observation 3280cbd6-e080-4647-bd5d-36857efebbe9 · outbound

This paper cites Statistical analysis and development of an ensemble- based machine learning model for photovoltaic fault detection.

Performance of YOLOv7 in Kitchen Safety While Handling Knife Statistical analysis and development of an ensemble- based machine learning model for photovoltaic fault detection

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-10T21:15:57.451641Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:15:57.451641Z digest=sha256:a95a1b442db6a30031c59a3dfb6b162a914c2b6cd06f4586841a183834a32803

Observation d52d8e67-6e3b-42ce-8cfd-2a5dea6cc1e9 · outbound

This paper cites Exudate regeneration for automated exudate detection in retinal fundus images.

Performance of YOLOv7 in Kitchen Safety While Handling Knife Exudate regeneration for automated exudate detection in retinal fundus images

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:15:57.591843Z

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.

source=pdf_text observed=2026-08-10T21:15:57.455041Z digest=sha256:5ace6c28c511b6cb296e7f0b0f6ba3d4514f7e7ea36d961b653f797297fc01c6

Observation cfd7cd23-204d-4e5a-b26c-18077e26c4cc · outbound

This paper cites A dynamic multi-mobile agent itinerary planning approach in wireless sensor networks via intuitionistic fuzzy set.

Performance of YOLOv7 in Kitchen Safety While Handling Knife A dynamic multi-mobile agent itinerary planning approach in wireless sensor networks via intuitionistic fuzzy set

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:15:57.580225Z

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.

source=pdf_text observed=2026-08-10T21:15:57.458407Z digest=sha256:7e341d821f610f63cc88083a462f99b775ee3c9ba9467779347065cb408d36b1

Pith citing papers

No inbound Pith citation observations are available.