Paper Citation Record · LEDGER

Efficient Edge-Compatible CNN for Speckle-Based Material Recognition in Laser Cutting Systems

As of 14 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 0 inbound Pith citation observations for arXiv:2512.00179.

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

pith.paper-citation-record.v1
2512.00179 v1

Coverage vector

measured 17 of 17 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T19:31:33.459490Z

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

17 of 17 outbound references displayed

verified exact0
verified fuzzy0
unresolved17
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation fdc1f5a8-61f1-4e09-81d3-187223462840 · outbound

This paper cites Hazardous emis- sions: characterization of co2 laser material processing,.

Efficient Edge-Compatible CNN for Speckle-Based Material Recognition in Laser Cutting Systems Hazardous emis- sions: characterization of co2 laser material processing,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-03T19:31:33.390382Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 88ca2938-e8c0-44ca-bae6-1fa1eeaa072d · outbound

This paper cites Enhancement of low power co2 laser cutting process for injection molded polycarbon- ate,.

Efficient Edge-Compatible CNN for Speckle-Based Material Recognition in Laser Cutting Systems Enhancement of low power co2 laser cutting process for injection molded polycarbon- ate,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-03T19:31:33.395068Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 605831db-12db-4fdd-80b7-af12d185dc65 · outbound

This paper cites Sensicut: Material-aware laser cutting using speckle sensing and deep learning,.

Efficient Edge-Compatible CNN for Speckle-Based Material Recognition in Laser Cutting Systems Sensicut: Material-aware laser cutting using speckle sensing and deep learning,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-03T19:31:33.398964Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 96a92591-1d52-41a4-99b6-f01a80b43e3e · outbound

This paper cites Machine learning classification of speckle patterns for roughness mea- surements,.

Efficient Edge-Compatible CNN for Speckle-Based Material Recognition in Laser Cutting Systems Machine learning classification of speckle patterns for roughness mea- surements,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-03T19:31:33.402911Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 22063601-853b-4632-8cf8-418b6d2a9946 · outbound

This paper cites Speckle-based high-resolution multimodal soft sensing,.

Efficient Edge-Compatible CNN for Speckle-Based Material Recognition in Laser Cutting Systems Speckle-based high-resolution multimodal soft sensing,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-03T19:31:33.406970Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8974709e-1615-4be8-b2d7-760b67119840 · outbound

This paper cites Lasershoes: Low-cost ground surface detection using laser speckle imaging,.

Efficient Edge-Compatible CNN for Speckle-Based Material Recognition in Laser Cutting Systems Lasershoes: Low-cost ground surface detection using laser speckle imaging,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-03T19:31:33.411287Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f21fc4ea-5b15-4c0b-bf45-c8d5e7d6dab7 · outbound

This paper cites Experimental study of the coherence of the light emit- ted by a semiconductor laser with optical feedback,.

Efficient Edge-Compatible CNN for Speckle-Based Material Recognition in Laser Cutting Systems Experimental study of the coherence of the light emit- ted by a semiconductor laser with optical feedback,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-03T19:31:33.416189Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 956a609e-1804-4806-84b7-0ebee347bfb5 · outbound

This paper cites Laser speckle contrast imaging in biomedical optics,.

Efficient Edge-Compatible CNN for Speckle-Based Material Recognition in Laser Cutting Systems Laser speckle contrast imaging in biomedical optics,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-03T19:31:33.420278Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6b4cc66d-2eb1-4666-b845-4c4d7c993749 · outbound

This paper cites Towards real-time speckle image processing for mealiness assessment in apple fruit,.

Efficient Edge-Compatible CNN for Speckle-Based Material Recognition in Laser Cutting Systems Towards real-time speckle image processing for mealiness assessment in apple fruit,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-03T19:31:33.424809Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dc16d443-8965-4e73-8b93-d556cd069b8a · outbound

This paper cites Material classification in laser cutting using deep learning,.

Efficient Edge-Compatible CNN for Speckle-Based Material Recognition in Laser Cutting Systems Material classification in laser cutting using deep learning,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-03T19:31:33.429009Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0eaec015-a693-4a72-8a0b-fe702626cf3e · outbound

This paper cites Detection of hazardous materials in laser cutting using deep learning and speckle sensing,.

Efficient Edge-Compatible CNN for Speckle-Based Material Recognition in Laser Cutting Systems Detection of hazardous materials in laser cutting using deep learning and speckle sensing,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-03T19:31:33.433101Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ac49b50d-8481-4415-8efb-9664588a1ecb · outbound

This paper cites A review of ai edge devices and lightweight cnn and llm deployment,.

Efficient Edge-Compatible CNN for Speckle-Based Material Recognition in Laser Cutting Systems A review of ai edge devices and lightweight cnn and llm deployment,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-03T19:31:33.437352Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a2e397f4-00a8-40d9-8d2f-48de3096f9d0 · outbound

This paper cites MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications.

Efficient Edge-Compatible CNN for Speckle-Based Material Recognition in Laser Cutting Systems MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-03T19:31:33.441531Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c9306c9b-bf51-4346-b124-63b0154e9a10 · outbound

This paper cites RepViT: Revisiting Mobile CNN From ViT Perspective.

Efficient Edge-Compatible CNN for Speckle-Based Material Recognition in Laser Cutting Systems RepViT: Revisiting Mobile CNN From ViT Perspective

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-03T19:31:33.446279Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f2633ba6-7aca-4ebd-b02c-353e0dc3fd42 · outbound

This paper cites Efficientnet-elite: Extremely lightweight and efficient cnn models for edge devices by network candidate search,.

Efficient Edge-Compatible CNN for Speckle-Based Material Recognition in Laser Cutting Systems Efficientnet-elite: Extremely lightweight and efficient cnn models for edge devices by network candidate search,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-03T19:31:33.450972Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8fb3f545-b9a5-49ee-b09b-10915da536f0 · outbound

This paper cites Rapidnet: Multi-level dilated convolution based mobile backbone,.

Efficient Edge-Compatible CNN for Speckle-Based Material Recognition in Laser Cutting Systems Rapidnet: Multi-level dilated convolution based mobile backbone,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-03T19:31:33.455356Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8213d6c0-d7f2-49e9-b5d5-5f142e851ae3 · outbound

This paper cites Shufflenet: An extremely efficient convolutional neural network for mobile devices,.

Efficient Edge-Compatible CNN for Speckle-Based Material Recognition in Laser Cutting Systems Shufflenet: An extremely efficient convolutional neural network for mobile devices,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-03T19:31:33.459490Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.