Paper Citation Record · LEDGER

Comparison of Tiny Machine Learning Techniques for Embedded Acoustic Emission Analysis

As of 23 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.

pith.paper-citation-record.v1
2411.17733 v1

Coverage vector

measured 17 of 17 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T14:39:34.995206Z

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+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 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 2026-08-23T06:30:58.430688+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 2026-08-23T06:30:58.430688+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 2026-08-23T06:30:58.430688+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 2026-08-23T06:30:58.430688+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 2026-08-23T06:30:58.430688+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 2026-08-23T06:30:58.430688+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 2026-08-23T06:30:58.430688+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 2026-08-23T06:30:58.430688+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 2026-08-23T06:30:58.430688+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 2026-08-23T06:30:58.430688+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 2026-08-23T06:30:58.430688+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 2026-08-23T06:30:58.430688+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 2026-08-23T06:30:58.430688+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 2026-08-23T06:30:58.430688+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 2026-08-23T06:30:58.430688+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 2026-08-23T06:30:58.430688+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 2026-08-23T06:30:58.430688+00:00.

Pith citing papers

No inbound Pith citation observations are available.