Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-12T14:39:34.995206Z
Paper Citation Record · LEDGER
Comparison of Tiny Machine Learning Techniques for Embedded Acoustic Emission Analysis
As of 13 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 0 inbound Pith citation observations for arXiv:2411.17733.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
17 of 17 outbound references displayed
- verified exact0
- verified fuzzy17
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation fe76e51e-02bb-4777-95ea-b3c50509975c · outbound
This paper cites Micro- cracking Monitoring and Fracture Evaluation for Crumb Rubber Con- crete based on Acoustic Emission Techniques,.
Comparison of Tiny Machine Learning Techniques for Embedded Acoustic Emission Analysis Micro- cracking Monitoring and Fracture Evaluation for Crumb Rubber Con- crete based on Acoustic Emission Techniques,
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T14:39:35.234291Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 9e1fb5bd-fe9b-4659-b604-5bc68f141d00 · outbound
This paper cites Short Review of the Use of Acoustic Emissions for Detection and Monitoring of Cracks,.
Comparison of Tiny Machine Learning Techniques for Embedded Acoustic Emission Analysis Short Review of the Use of Acoustic Emissions for Detection and Monitoring of Cracks,
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T14:39:35.218482Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 8f6c1a57-cbcb-44fd-9189-579aebb7f595 · outbound
This paper cites Time–frequency Decomposition- assisted Improved Localization of Proximity of Damage using Acoustic Sensors,.
Comparison of Tiny Machine Learning Techniques for Embedded Acoustic Emission Analysis Time–frequency Decomposition- assisted Improved Localization of Proximity of Damage using Acoustic Sensors,
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T14:39:35.206939Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 55c90689-51ff-4350-a966-d57424b9dc16 · outbound
This paper cites Active Crack Evaluation in Concrete Beams using Statistical Analysis of Acoustic Emission Data,.
Comparison of Tiny Machine Learning Techniques for Embedded Acoustic Emission Analysis Active Crack Evaluation in Concrete Beams using Statistical Analysis of Acoustic Emission Data,
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T14:39:35.194723Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation ea0453fd-0b2a-4da9-9cfa-ac4879253d94 · outbound
This paper cites In situ Consideration of Resistance of Bridge Girder According to EC2 with AEM,.
Comparison of Tiny Machine Learning Techniques for Embedded Acoustic Emission Analysis In situ Consideration of Resistance of Bridge Girder According to EC2 with AEM,
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T14:39:35.183328Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 038f310c-356c-4444-afd8-537fc159dd91 · outbound
This paper cites Parameters of Acoustic Emission Signals Obtained During the Setting and Hardening of Concrete Mixtures with Different Water-Cement Ratio,.
Comparison of Tiny Machine Learning Techniques for Embedded Acoustic Emission Analysis Parameters of Acoustic Emission Signals Obtained During the Setting and Hardening of Concrete Mixtures with Different Water-Cement Ratio,
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T14:39:35.170814Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation b1c2a4e4-9ad7-42af-87e3-b43761e38fd6 · outbound
This paper cites Relationship between AE Signal Strength and Absolute Energy in Determining Damage Classi- fication of Concrete Structures,.
Comparison of Tiny Machine Learning Techniques for Embedded Acoustic Emission Analysis Relationship between AE Signal Strength and Absolute Energy in Determining Damage Classi- fication of Concrete Structures,
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T14:39:35.157516Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation c478ae33-80ed-4e33-9672-83343da456cf · outbound
This paper cites An Ultrasonic Flextensional Array for Acoustic Emission Techniques on Concrete Structures,.
Comparison of Tiny Machine Learning Techniques for Embedded Acoustic Emission Analysis An Ultrasonic Flextensional Array for Acoustic Emission Techniques on Concrete Structures,
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T14:39:35.145145Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation dcc345b3-a6e6-4336-ae73-f7bcd9951460 · outbound
This paper cites Damage Evaluation of Prestressed Piles to Cast in Place Bent Cap Connections with Acoustic Emission,.
Comparison of Tiny Machine Learning Techniques for Embedded Acoustic Emission Analysis Damage Evaluation of Prestressed Piles to Cast in Place Bent Cap Connections with Acoustic Emission,
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T14:39:35.131587Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 044c8438-f6e4-4c1c-8998-06e9a53a7eff · outbound
This paper cites Pattern Recognition Enabled Acous- tic Emission Signatures for Crack Characterization During Damage Progression in Large Concrete Structures,.
Comparison of Tiny Machine Learning Techniques for Embedded Acoustic Emission Analysis Pattern Recognition Enabled Acous- tic Emission Signatures for Crack Characterization During Damage Progression in Large Concrete Structures,
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T14:39:35.118791Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 4fe8bca0-9a3b-4136-9879-59a8a4f65829 · outbound
This paper cites A Lightweight Convolutional Neu- ral Network Model for Concrete Damage Classification using Acoustic Emissions,.
Comparison of Tiny Machine Learning Techniques for Embedded Acoustic Emission Analysis A Lightweight Convolutional Neu- ral Network Model for Concrete Damage Classification using Acoustic Emissions,
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T14:39:35.105737Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 9a942f12-9f92-4071-b35c-2161cfb42652 · outbound
This paper cites Acoustic Emission Monitoring of Reinforced Concrete Beams Subjected to Four-point-bending,.
Comparison of Tiny Machine Learning Techniques for Embedded Acoustic Emission Analysis Acoustic Emission Monitoring of Reinforced Concrete Beams Subjected to Four-point-bending,
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T14:39:35.092558Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 5a04ad32-d83c-4c95-97f3-cd640ee8c9b2 · outbound
This paper cites Leveraging Acoustic Emission and Machine Learning for Concrete Materials Damage Classi- fication on Embedded Devices,.
Comparison of Tiny Machine Learning Techniques for Embedded Acoustic Emission Analysis Leveraging Acoustic Emission and Machine Learning for Concrete Materials Damage Classi- fication on Embedded Devices,
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T14:39:35.078153Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 59b777c7-9c5c-4698-8012-503404e72396 · outbound
This paper cites Tiny Machine Learning for Damage Classification in Concrete Using Acoustic Emission Sig- nals,.
Comparison of Tiny Machine Learning Techniques for Embedded Acoustic Emission Analysis Tiny Machine Learning for Damage Classification in Concrete Using Acoustic Emission Sig- nals,
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T14:39:35.064632Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation a4e8aea1-ecae-4fe4-8c9d-aec9c26dc3ad · outbound
This paper cites Automatic Crack Classification by Exploiting Statistical Event Descriptors for Deep Learning,.
Comparison of Tiny Machine Learning Techniques for Embedded Acoustic Emission Analysis Automatic Crack Classification by Exploiting Statistical Event Descriptors for Deep Learning,
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T14:39:35.051977Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 8d30a511-8ea2-40a5-bbdd-721c2b49a337 · outbound
This paper cites TSFEL: Time Series Feature Extraction Library,.
Comparison of Tiny Machine Learning Techniques for Embedded Acoustic Emission Analysis TSFEL: Time Series Feature Extraction Library,
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T14:39:35.038054Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 1a2e8eea-a2e1-4a40-ba44-049b6da13e9b · outbound
This paper cites Hyperparameter Tuning of Deep Learning Models in Keras,.
Comparison of Tiny Machine Learning Techniques for Embedded Acoustic Emission Analysis Hyperparameter Tuning of Deep Learning Models in Keras,
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T14:39:35.024696Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Pith citing papers
No inbound Pith citation observations are available.