Paper Citation Record · LEDGER

TinyGLASS: Real-Time Self-Supervised In-Sensor Anomaly Detection

As of 14 August 2026, this Paper Citation Record lists 49 of 49 outbound references and 2 inbound Pith citation observations for arXiv:2603.16451.

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

pith.paper-citation-record.v1
2603.16451 v3

Coverage vector

measured 49 of 49 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T18:04:00.285660Z

measured 51 of 51 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-03T15:51:05.566926Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T15:58:37.562463Z

Reference resolution

49 of 49 outbound references displayed

verified exact0
verified fuzzy0
unresolved49
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 909bb88a-b46d-48ec-8b03-ebe251d3f50c · outbound

This paper cites Self-supervised anomaly detection in computer vision and beyond: A survey and outlook,.

TinyGLASS: Real-Time Self-Supervised In-Sensor Anomaly Detection Self-supervised anomaly detection in computer vision and beyond: A survey and outlook,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-02T18:03:54.424755Z

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Observation 949ff6eb-3bc2-4f89-bc26-2b86ff69051c · outbound

This paper cites A survey of deep learning for industrial visual anomaly detection,.

TinyGLASS: Real-Time Self-Supervised In-Sensor Anomaly Detection A survey of deep learning for industrial visual anomaly detection,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-02T18:03:54.544936Z

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Observation 581d258a-c4d4-4fc7-b894-89fa4bf87a6f · outbound

This paper cites Deep Industrial Image Anomaly Detection: A Survey,.

TinyGLASS: Real-Time Self-Supervised In-Sensor Anomaly Detection Deep Industrial Image Anomaly Detection: A Survey,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-02T18:03:54.754747Z

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Observation 80564af2-84a2-4c76-a82f-5ea2c2139b2c · outbound

This paper cites An Adaptable and Unsupervised TinyML Anomaly Detection System for Extreme Industrial Environments,.

TinyGLASS: Real-Time Self-Supervised In-Sensor Anomaly Detection An Adaptable and Unsupervised TinyML Anomaly Detection System for Extreme Industrial Environments,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-02T18:03:54.874749Z

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Observation f8c51fe1-675a-4fae-8fed-fff3888901e8 · outbound

This paper cites KairosAD: A SAM-Based Model for Industrial Anomaly Detection on Embedded Devices,.

TinyGLASS: Real-Time Self-Supervised In-Sensor Anomaly Detection KairosAD: A SAM-Based Model for Industrial Anomaly Detection on Embedded Devices,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-02T18:03:54.964851Z

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Observation 50ab020a-e155-4aa2-a8a2-8784c3c12084 · outbound

This paper cites PaSTe: Improving the Efficiency of Visual Anomaly Detection at the Edge,.

TinyGLASS: Real-Time Self-Supervised In-Sensor Anomaly Detection PaSTe: Improving the Efficiency of Visual Anomaly Detection at the Edge,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-02T18:03:55.094898Z

Source-reported events for the cited work

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Observation f6e46363-64b5-458b-a1ee-d5e202a24efd · outbound

This paper cites Reviewing progresses on In-Sensor AI Computing,.

TinyGLASS: Real-Time Self-Supervised In-Sensor Anomaly Detection Reviewing progresses on In-Sensor AI Computing,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-02T18:03:55.174747Z

Source-reported events for the cited work

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Observation bf22e76e-0efe-4faf-b3a4-0f48d9f7b177 · outbound

This paper cites Performance Analysis of Edge and In-Sensor AI Processors: A Comparative Review,.

TinyGLASS: Real-Time Self-Supervised In-Sensor Anomaly Detection Performance Analysis of Edge and In-Sensor AI Processors: A Comparative Review,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-02T18:03:55.312070Z

Source-reported events for the cited work

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Observation e8fd2a06-51a0-4f67-b078-d2df9ff52cd0 · outbound

This paper cites Wide Residual Networks,.

TinyGLASS: Real-Time Self-Supervised In-Sensor Anomaly Detection Wide Residual Networks,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-02T18:03:55.431332Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2f8f25a9-d0c0-44ed-9ae9-4257adb0ee09 · outbound

This paper cites Deep Residual Learning for Image Recognition,.

TinyGLASS: Real-Time Self-Supervised In-Sensor Anomaly Detection Deep Residual Learning for Image Recognition,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-02T18:03:55.529539Z

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Observation 80b668eb-62e0-4bf6-a85e-5aa95e0dccfb · outbound

This paper cites Model Compression Toolkit (MCT),.

TinyGLASS: Real-Time Self-Supervised In-Sensor Anomaly Detection Model Compression Toolkit (MCT),

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-02T18:03:55.614894Z

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Observation 498c4469-3ff4-4466-a101-919f84498253 · outbound

This paper cites MVTec AD – A Comprehensive Real-World Dataset for Unsupervised Anomaly Detection,.

TinyGLASS: Real-Time Self-Supervised In-Sensor Anomaly Detection MVTec AD – A Comprehensive Real-World Dataset for Unsupervised Anomaly Detection,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-02T18:03:55.759473Z

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Observation 072169fa-783a-4f69-ad7a-bd681ff0bf94 · outbound

This paper cites an unresolved cited work.

TinyGLASS: Real-Time Self-Supervised In-Sensor Anomaly Detection Unresolved cited work

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-02T18:03:55.825116Z

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Observation 23948f75-d933-48e6-bd2b-94e0dfdb2163 · outbound

This paper cites Memorizing Normality to Detect Anomaly: Memory- Augmented Deep Autoencoder for Unsupervised Anomaly Detection,.

TinyGLASS: Real-Time Self-Supervised In-Sensor Anomaly Detection Memorizing Normality to Detect Anomaly: Memory- Augmented Deep Autoencoder for Unsupervised Anomaly Detection,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-02T18:03:55.912923Z

Source-reported events for the cited work

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Observation a636abea-c395-424e-8841-ae60a0ede80d · outbound

This paper cites Reconstruction by inpainting for visual anomaly detection,.

TinyGLASS: Real-Time Self-Supervised In-Sensor Anomaly Detection Reconstruction by inpainting for visual anomaly detection,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-02T18:03:56.004957Z

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Observation dc50d6f9-6a37-41df-90cf-211359117013 · outbound

This paper cites Self-Supervised Predictive Convolutional Attentive Block for Anomaly Detection,.

TinyGLASS: Real-Time Self-Supervised In-Sensor Anomaly Detection Self-Supervised Predictive Convolutional Attentive Block for Anomaly Detection,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-02T18:03:56.114828Z

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Observation ab228df3-3f1b-437c-9852-abd17dd247c5 · outbound

This paper cites Towards Total Recall in Industrial Anomaly Detection,.

TinyGLASS: Real-Time Self-Supervised In-Sensor Anomaly Detection Towards Total Recall in Industrial Anomaly Detection,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-02T18:03:56.224881Z

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Unavailable: canonical work link unavailable.

Observation a73440f9-f605-4d30-8043-3a35bbbf95a8 · outbound

This paper cites Pni : Industrial anomaly detection using position and neighborhood information,.

TinyGLASS: Real-Time Self-Supervised In-Sensor Anomaly Detection Pni : Industrial anomaly detection using position and neighborhood information,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-02T18:03:56.289361Z

Source-reported events for the cited work

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Observation c40db41c-fc93-469f-962c-d6bbd636ce4b · outbound

This paper cites PANDA: Adapting Pretrained Features for Anomaly Detection and Segmentation,.

TinyGLASS: Real-Time Self-Supervised In-Sensor Anomaly Detection PANDA: Adapting Pretrained Features for Anomaly Detection and Segmentation,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-02T18:03:56.364919Z

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Observation 2171816b-207f-4068-ab7a-1923930cafc7 · outbound

This paper cites PaDiM: A Patch Distribution Modeling Framework for Anomaly Detection and Localization,.

TinyGLASS: Real-Time Self-Supervised In-Sensor Anomaly Detection PaDiM: A Patch Distribution Modeling Framework for Anomaly Detection and Localization,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-02T18:03:56.453736Z

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Observation f8632444-e0cf-4738-ab4d-09f074d2c59f · outbound

This paper cites FastFlow: Unsupervised Anomaly Detection and Localization via 2D Normalizing Flows.

TinyGLASS: Real-Time Self-Supervised In-Sensor Anomaly Detection FastFlow: Unsupervised Anomaly Detection and Localization via 2D Normalizing Flows

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-02T18:03:56.554863Z

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Observation 60608592-e31b-4600-8887-3a216cf91bb9 · outbound

This paper cites Same Same but DifferNet: Semi-Supervised Defect Detection With Normalizing Flows,.

TinyGLASS: Real-Time Self-Supervised In-Sensor Anomaly Detection Same Same but DifferNet: Semi-Supervised Defect Detection With Normalizing Flows,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-02T18:03:56.644751Z

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Unavailable: canonical work link unavailable.

Observation 19a51d79-9943-47df-87bf-a9cc2a2d6017 · outbound

This paper cites CFLOW-AD: Real-Time Unsupervised Anomaly Detection with Localization via Conditional Normalizing Flows,.

TinyGLASS: Real-Time Self-Supervised In-Sensor Anomaly Detection CFLOW-AD: Real-Time Unsupervised Anomaly Detection with Localization via Conditional Normalizing Flows,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-02T18:03:56.714748Z

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Unavailable: canonical work link unavailable.

Observation a2a6d56b-9046-4966-9601-4c98de9ac200 · outbound

This paper cites Diffusion-Based Image Generation for In- Distribution Data Augmentation in Surface Defect Detection,.

TinyGLASS: Real-Time Self-Supervised In-Sensor Anomaly Detection Diffusion-Based Image Generation for In- Distribution Data Augmentation in Surface Defect Detection,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-02T18:03:56.785618Z

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Unavailable: canonical work link unavailable.

Observation 8ce9c062-9357-456c-9857-5fc6e4601611 · outbound

This paper cites Leveraging Latent Diffusion Models for Training- Free in-Distribution Data Augmentation for Surface Defect Detection,.

TinyGLASS: Real-Time Self-Supervised In-Sensor Anomaly Detection Leveraging Latent Diffusion Models for Training- Free in-Distribution Data Augmentation for Surface Defect Detection,

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-02T18:03:56.874846Z

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Observation 90bf2552-bb52-4e6a-8d92-e9b37fa39ccc · outbound

This paper cites CutPaste: Self-Supervised Learning for Anomaly Detection and Localization,.

TinyGLASS: Real-Time Self-Supervised In-Sensor Anomaly Detection CutPaste: Self-Supervised Learning for Anomaly Detection and Localization,

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-02T18:03:56.954849Z

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Observation 870962fa-9910-4796-864f-a619f573b408 · outbound

This paper cites DRAEM - A Discriminatively Trained Recon- struction Embedding for Surface Anomaly Detection,.

TinyGLASS: Real-Time Self-Supervised In-Sensor Anomaly Detection DRAEM - A Discriminatively Trained Recon- struction Embedding for Surface Anomaly Detection,

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-02T18:03:57.024750Z

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Observation 3755ace8-65f2-4b52-a6fd-f7aa20523688 · outbound

This paper cites SimpleNet: A Simple Network for Image Anomaly Detection and Localization,.

TinyGLASS: Real-Time Self-Supervised In-Sensor Anomaly Detection SimpleNet: A Simple Network for Image Anomaly Detection and Localization,

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-02T18:03:57.124798Z

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Observation 253eee0b-c264-431d-a83c-07295e002bb8 · outbound

This paper cites A Unified Anomaly Synthesis Strategy with Gradient Ascent for Industrial Anomaly Detection and Localization,.

TinyGLASS: Real-Time Self-Supervised In-Sensor Anomaly Detection A Unified Anomaly Synthesis Strategy with Gradient Ascent for Industrial Anomaly Detection and Localization,

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-02T18:03:57.224838Z

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Observation 3bc716a0-b5bd-4240-b242-a9af366484d7 · outbound

This paper cites A Machine Learning-Oriented Survey on Tiny Machine Learning,.

TinyGLASS: Real-Time Self-Supervised In-Sensor Anomaly Detection A Machine Learning-Oriented Survey on Tiny Machine Learning,

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-02T18:03:57.323394Z

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Observation a43aa058-fe54-4ca8-b0b2-99f517a44235 · outbound

This paper cites Survey and Comparison of Milliwatts Micro controllers for Tiny Machine Learning at the Edge,.

TinyGLASS: Real-Time Self-Supervised In-Sensor Anomaly Detection Survey and Comparison of Milliwatts Micro controllers for Tiny Machine Learning at the Edge,

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-02T18:03:57.485041Z

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Observation 16722d27-ec6f-4fa5-92e7-4ea5d54bb9b9 · outbound

This paper cites TinyTracker: Ultra-Fast and Ultra-Low-Power Edge Vision In-Sensor for Gaze Estimation,.

TinyGLASS: Real-Time Self-Supervised In-Sensor Anomaly Detection TinyTracker: Ultra-Fast and Ultra-Low-Power Edge Vision In-Sensor for Gaze Estimation,

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-02T18:03:57.644964Z

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Observation b0ef732b-1958-413d-b12b-1b5a43bc6126 · outbound

This paper cites MCUNet: Tiny Deep Learning on IoT Devices,.

TinyGLASS: Real-Time Self-Supervised In-Sensor Anomaly Detection MCUNet: Tiny Deep Learning on IoT Devices,

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-02T18:03:57.764744Z

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Observation b675000f-ef63-453d-ab3c-201e050221a1 · outbound

This paper cites TinyissimoYOLO: A Quantized, Low-Memory Footprint, TinyML Object Detection Network for Low Power Micro- controllers,.

TinyGLASS: Real-Time Self-Supervised In-Sensor Anomaly Detection TinyissimoYOLO: A Quantized, Low-Memory Footprint, TinyML Object Detection Network for Low Power Micro- controllers,

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-02T18:03:57.874850Z

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Observation 0f0d5398-bb10-4cd6-afab-873bba9104ad · outbound

This paper cites Ultra-Efficient On-Device Object Detection on AI-Integrated Smart Glasses with TinyissimoYOLO,.

TinyGLASS: Real-Time Self-Supervised In-Sensor Anomaly Detection Ultra-Efficient On-Device Object Detection on AI-Integrated Smart Glasses with TinyissimoYOLO,

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-02T18:03:57.996658Z

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Observation 91037883-9079-4124-8156-20d7da1bfe5b · outbound

This paper cites 9.6 A 1/2.3inch 12.3Mpixel with On-Chip 4.97TOPS/W CNN Processor Back-Illuminated Stacked CMOS Image Sensor,.

TinyGLASS: Real-Time Self-Supervised In-Sensor Anomaly Detection 9.6 A 1/2.3inch 12.3Mpixel with On-Chip 4.97TOPS/W CNN Processor Back-Illuminated Stacked CMOS Image Sensor,

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-02T18:03:58.080870Z

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Observation f2e3c4eb-beb3-4baf-ba7c-1b66311e6394 · outbound

This paper cites PicoSAM2: Low-Latency Segmentation In-Sensor for Edge Vision Applications,.

TinyGLASS: Real-Time Self-Supervised In-Sensor Anomaly Detection PicoSAM2: Low-Latency Segmentation In-Sensor for Edge Vision Applications,

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-02T18:03:58.244752Z

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Unavailable: canonical work link unavailable.

Observation eb6987df-9d0d-4982-a2ad-91d33741fd1a · outbound

This paper cites Edge AI-enabled chicken health detection based on enhanced FCOS-Lite and knowledge distillation,.

TinyGLASS: Real-Time Self-Supervised In-Sensor Anomaly Detection Edge AI-enabled chicken health detection based on enhanced FCOS-Lite and knowledge distillation,

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-02T18:03:58.474746Z

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Observation e6a79176-02eb-40eb-8513-0854b37dd7d8 · outbound

This paper cites Q-Segment: Segmenting Images In-Sensor for Vessel- Based Medical Diagnosis,.

TinyGLASS: Real-Time Self-Supervised In-Sensor Anomaly Detection Q-Segment: Segmenting Images In-Sensor for Vessel- Based Medical Diagnosis,

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-02T18:03:58.680112Z

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Unavailable: canonical work link unavailable.

Observation aca6aea9-838c-4ba6-a819-157370a3ebbe · outbound

This paper cites Pedestrian Warning: Intelligent Vision Sensor vs. Edge AI with LTE C-V2X in a Smart City,.

TinyGLASS: Real-Time Self-Supervised In-Sensor Anomaly Detection Pedestrian Warning: Intelligent Vision Sensor vs. Edge AI with LTE C-V2X in a Smart City,

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-02T18:03:58.840025Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f76e9902-0470-4390-b84e-1afaa0b0bfae · outbound

This paper cites The Raspberry Pi AI Camera,.

TinyGLASS: Real-Time Self-Supervised In-Sensor Anomaly Detection The Raspberry Pi AI Camera,

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-02T18:03:58.967014Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cd649958-b099-48aa-90fc-f8da5bec8aa5 · outbound

This paper cites an unresolved cited work.

TinyGLASS: Real-Time Self-Supervised In-Sensor Anomaly Detection Unresolved cited work

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-02T18:03:59.124253Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cb771963-9911-406c-8d94-6bca73fcc553 · outbound

This paper cites Focal Loss for Dense Object Detection,.

TinyGLASS: Real-Time Self-Supervised In-Sensor Anomaly Detection Focal Loss for Dense Object Detection,

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-02T18:03:59.278699Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e52683a7-5527-4343-a5f6-b5061ccbd776 · outbound

This paper cites Decoupled Weight Decay Regularization,.

TinyGLASS: Real-Time Self-Supervised In-Sensor Anomaly Detection Decoupled Weight Decay Regularization,

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-02T18:03:59.407041Z

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Unavailable: canonical work link unavailable.

Observation 3f8617d2-d5d9-4044-bbe9-a1dba8b3ee92 · outbound

This paper cites ImageNet: A Large-Scale Hierarchical Image Database,.

TinyGLASS: Real-Time Self-Supervised In-Sensor Anomaly Detection ImageNet: A Large-Scale Hierarchical Image Database,

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-02T18:03:59.609786Z

Source-reported events for the cited work

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Observation e72fa8c8-e500-42c2-afc3-e232f028bf67 · outbound

This paper cites SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and < 0.5 MB model size,.

TinyGLASS: Real-Time Self-Supervised In-Sensor Anomaly Detection SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and < 0.5 MB model size,

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-02T18:03:59.791999Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eaa3fc08-6e75-4559-985b-7ec947139583 · outbound

This paper cites Searching for MobileNetV3,.

TinyGLASS: Real-Time Self-Supervised In-Sensor Anomaly Detection Searching for MobileNetV3,

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-02T18:03:59.958608Z

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Observation 49842d74-a42d-497b-a334-985333167aa0 · outbound

This paper cites EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks,.

TinyGLASS: Real-Time Self-Supervised In-Sensor Anomaly Detection EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks,

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-02T18:04:00.107272Z

Source-reported events for the cited work

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Observation c4170d6b-f9c0-462d-9429-b9b8f6e92e2e · outbound

This paper cites SPot-the-Difference Self-supervised Pre-training for Anomaly Detection and Segmentation,.

TinyGLASS: Real-Time Self-Supervised In-Sensor Anomaly Detection SPot-the-Difference Self-supervised Pre-training for Anomaly Detection and Segmentation,

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-02T18:04:00.285660Z

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Unavailable: canonical work link unavailable.

Pith citing papers

Observation 546afc36-c33f-4da2-ae92-12413cf1b032 · inbound

Exploiting In-Sensor Computing for Energy-Efficient Earth Observation cites this paper.

Exploiting In-Sensor Computing for Energy-Efficient Earth Observation TinyGLASS: Real-Time Self-Supervised In-Sensor Anomaly Detection

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-07-21T02:20:36.390785Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 090da0ae-96ea-42ca-835e-57e62652f477 · inbound

LiZAD: A Lightweight Zero-Shot Anomaly Detection Framework for Industrial Manufacturing cites this paper.

LiZAD: A Lightweight Zero-Shot Anomaly Detection Framework for Industrial Manufacturing TinyGLASS: Real-Time Self-Supervised In-Sensor Anomaly Detection

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-07-21T02:20:36.390785Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.