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Paper Citation Record · LEDGER

Performance of YOLOv7 in Kitchen Safety While Handling Knife

As of 15 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 2026-08-15T06:32:42.880941+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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T21:15:57.241152Z digest=sha256:a95ae3df9b2d2efc2e82e2cbb2b356e0d16010e5495899c6eb33629bb4dcfa40

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=sha256:2ce5d635ff69c4617bf015cbc9dafb34074221d45411dfff864d38a2598a4e44

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=sha256:4017aff0d1cb81fb5f90f0b33616b504a5b4ebd1a0a7bd4c8e75745976e548b9

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=sha256:629d69d20528d9ce19becd42f3a62f4519ddcb5ff93e63bfdb5054e415f0596e

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:db93363a3fd7bf67c3cdb466e2b638b045b5518b05a1451b47eb2382710b5771

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:15:57.260767Z digest=sha256:9840b9c7a9c957caeed57feb54d94c501de3feedf201b7e2e36a62b3083a2dcb

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T21:15:57.265084Z digest=sha256:a5b555aac3e36ce7d9b496e7f0876891f2d55841bf6c38d79bb5ea5fa67da0ec

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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source=pdf_text observed=2026-08-10T21:15:57.268622Z digest=sha256:ceec84ff468339ab658403a314ddd8a3518146526f9c29d35127e204fd1af3fb

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=sha256:3b68b858692ca962652cfc19a354d19e2475f0b6bf4da3cd2217c14b7a790497

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=sha256:3d1fe448b0820f9e6f840d4cda743c9c22e0466675c8b7fc4e50fcec7abb2478

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:e68725451d5e1dae7ae053b1fa31fb4639fa2ac3ee09f6a54a00c438739fd34a

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T21:15:57.287565Z digest=sha256:36ce10dd0469085b46c73d4af098f91f8fcc8e7fbd13f092379959b63ba4b041

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:fd621fe8dc611849a1aa73874e09f7c0136ec650e370928946e7fe206e1b58f1

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=sha256:9bf716f514ecb03dcd3cc9519bd500b33166e561d4443391b0a28e946a23aa8d

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=sha256:3e0e49751d0c4bcdda22b695bacf5ba62d3053ebc77b573535b086230a12c6c3

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-reported events for the cited work

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source=pdf_text observed=2026-08-10T21:15:57.303373Z digest=sha256:b3e6548b23e120b52d09849742d8ce29a5b8509dcfb2116724ed1caa2cec5823

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=sha256:460e4dc28a734e9a48a9a17c681e2141c56c1463bf2e38d2edd6211a1978e542

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:dbfa0e27a92e005501c8a2b91c2c13b01f1febcec6b73b7bd33589a8ea2ebc3f

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:15:57.319559Z digest=sha256:fdab1f936abb784ab1d0019cb381e4976998ca8e12de41ebd39dcfb9b2e8992a

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:cc20e1dbcf34cdc6890f785859af3df0b8d3e4acd5e756acea37e123683762dc

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T21:15:57.326623Z digest=sha256:4fe281190c28704a015e905c054ab076c8b170d8ce797dd62ac29a89e5ef9ba1

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=sha256:95cf64ff173f2b481e0610d5df955b7db58eb75bce72e2a87cb5c037eb55da32

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

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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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T21:15:57.334655Z digest=sha256:86ac69e394f65ae38525344a42df4147b7ab22fce4bc80ffd01830682c0aa862

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:e4bfe1fee0b9a6748de6f2eba85f48fee9ad5537b16a572983e85908414e3b62

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=sha256:0231feca0a69cfe35944d2b1ca17c5e28a341215568c19bd535d1dde8504874a

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:fbd1510ea5049f1112d03f8fb07918d570515b301af568d62a6f926b7fb0ab2a

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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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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T21:15:57.349440Z digest=sha256:a021bf7c35f714f56a30c44dcca7a78ff6cd5137bd707c27cac6071902b10e8e

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T21:15:57.353230Z digest=sha256:d227d1293e402b7fd61fcb4c5e9bfaf8e0f27a0dfa717236c88a542b6be3582d

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T21:15:57.357139Z digest=sha256:c113a7f7f63113e7bc0519d8fe97c67eb671be3ab15fa099977da8e03b02b7bc

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=pdf_text observed=2026-08-10T21:15:57.360708Z digest=sha256:4680d59f36131cac21d66e02d91ae4a8591c42967eb1a234711a8ca49dba56af

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=sha256:5e612b229dd7f543087453eff1c526ee0138c0f4ea666dcc3f7fc91712f0bad4

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=sha256:864369089a04faae018147c4b8c97dac4723e645cfe04dabe87b5c03470cab20

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:fae2e956045c5beadd4a32e77d340b00d199d777fad25a2034a40a0eaacf2fb0

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T21:15:57.375758Z digest=sha256:d4172c55c6618318740579bef7a02713bce53d5c72dfc68eb39d4d009e668146

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-reported events for the cited work

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source=pdf_text observed=2026-08-10T21:15:57.379300Z digest=sha256:03f978d672dcfa68a78624713c5d6d9b1fd8572e308bbbb2f6317a88971ff9a1

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T21:15:57.382987Z digest=sha256:37571aca8398d9fa382a65dccfcbf80d3d9dc848664a84a39b7fe3ac3acd7d54

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=sha256:4fae6b90fb17857ff56229a91d830763abebf266c68736f2b56fb947a5ef6862

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=sha256:2b2974b8ce67cd1d75b563c49080b13b435c4f5e50a5a7788d856eca4ca4878e

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

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:15:57.393818Z digest=sha256:d9c3a74dde1634eef5d8dd394a63be04cfe47475cd5d9b8e8b565d12854a7540

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

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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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T21:15:57.397908Z digest=sha256:56960c6d5bfdaf52c502bcfc56f78785bf57b721e050bfcc150fcf4b22aa693f

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

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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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T21:15:57.401433Z digest=sha256:23cfa9213abc1271631a4a7922295663c09c1b0dfcd9b481cd4aa4b0d28078c6

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:eeb4c10a0c46d6e6ee3d7dca4f634ea9c29ade9858349b166eecb536a33f074c

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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Source-reported events for the cited work

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source=pdf_text observed=2026-08-10T21:15:57.409602Z digest=sha256:19e6464ed914a92dfdaa3314c59525b3c0501af56ea2222a6289f90b96a7c95f

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

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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=sha256:3c98bbaac21036b79d1c4a965664e21518bf6e42254882b1fc4a1d4fc524b171

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

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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:f3f2d3dec14b488b8f671c11f4cc57602708c25e63b6e40c17162efc7aa9af48

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=sha256:460d48595abef91ff6d60ad525ba358aed8f20a4615648990c37c0f42d29fd58

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=sha256:8ba06ea6ed30af23cd7c1585c80841fd5f0123aab50236eb689053a2c5e5277b

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=sha256:4e48db103fa3d6cdfe820122a9670d1a04dedfed555a78c55925c9000edb3a49

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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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=sha256:29d3598dc854959f77521a8175b3ed02a9d470183b46f3f9d8fabcb0110620f8

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

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unresolved
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:e23c274070d47dba34af1f2f3496292eb1db6dd5e07ee19f877b9f2fa62dc1c3

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T21:15:57.440653Z digest=sha256:054e9d033c6c1c722186c0dabb7235da2b51dd79fba32dd05e3d04966ddc5ca1

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T21:15:57.444639Z digest=sha256:1295d711c22a03c4bc042f14df0bc433ef63caf77f363394baf281b99d676e00

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
no resolver link, observed 2026-08-10T21:15:57.448262Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-10T21:15:57.448262Z digest=sha256:be9c7eb2064c8de18649d2f13653a238293732830e6ce3aa96913eb23bf49b56

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:a10d32a095959968543f7d19b004a8a9355643edd92201a5ba8f90189c9f78d6

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T21:15:57.455041Z digest=sha256:6a58494d140bf02712fbe4e7e1be983694e7e36235d2933e8291d8348229153c

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T21:15:57.458407Z digest=sha256:c489cd6842da74e4f47fc67cc2698660c10a06767fb2b4750c7835faeac00ed9

Pith citing papers

No inbound Pith citation observations are available.