Paper Citation Record · LEDGER

Noise-Driven AI Sensors: Secure Healthcare Monitoring with PUFs

As of 8 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 0 inbound Pith citation observations for arXiv:2506.05135.

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

pith.paper-citation-record.v1
2506.05135 v1

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:28:24.108381Z

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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

15 of 15 outbound references displayed

verified exact2
verified fuzzy12
unresolved1
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5a54247a-e874-4891-9bd4-a37b715a4f8f · outbound

This paper cites Silicon physical random functions,.

Noise-Driven AI Sensors: Secure Healthcare Monitoring with PUFs Silicon physical random functions,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:28:26.951717Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation cb358f99-7579-4fe3-83cf-9b723452db2c · outbound

This paper cites Fuzzy extractors: How to generate strong keys from biometrics and other noisy data,.

Noise-Driven AI Sensors: Secure Healthcare Monitoring with PUFs Fuzzy extractors: How to generate strong keys from biometrics and other noisy data,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:28:26.705852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7fe98a8e-749f-46e3-869e-84550c60873c · outbound

This paper cites A survey on lightweight entity authentication with strong PUFs,.

Noise-Driven AI Sensors: Secure Healthcare Monitoring with PUFs A survey on lightweight entity authentication with strong PUFs,

Reference 3

Resolution: verified exact; doi, observed 2026-08-07T10:28:24.481440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6df5c524-bbed-4d72-81ae-9901575593b8 · outbound

This paper cites Maes,Physically Unclonable Functions: Constructions, Properties and Applications.

Noise-Driven AI Sensors: Secure Healthcare Monitoring with PUFs Maes,Physically Unclonable Functions: Constructions, Properties and Applications

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:28:26.549085Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 10d05e6f-dc79-4cec-80c6-afdddaf0fc58 · outbound

This paper cites Cardiologist-level arrhythmia detec- tion and classification in ambulatory electrocardiograms using a deep neural network,.

Noise-Driven AI Sensors: Secure Healthcare Monitoring with PUFs Cardiologist-level arrhythmia detec- tion and classification in ambulatory electrocardiograms using a deep neural network,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T10:28:23.446967Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bea8295f-53a3-4ca7-8a27-2335a034abf5 · outbound

This paper cites A deep convolutional neural network model to classify normal, atrial fibrillation and noisy ECG signals,.

Noise-Driven AI Sensors: Secure Healthcare Monitoring with PUFs A deep convolutional neural network model to classify normal, atrial fibrillation and noisy ECG signals,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:28:26.375423Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3f593d95-1671-472a-a584-3ce33f636df8 · outbound

This paper cites The impact of the MIT-BIH arrhythmia database,.

Noise-Driven AI Sensors: Secure Healthcare Monitoring with PUFs The impact of the MIT-BIH arrhythmia database,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:28:26.190904Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 45c3b238-2b55-4de7-9983-66da8f76b9c6 · outbound

This paper cites Comprehensive survey of com- putational ECG analysis: Databases, methods and applications,.

Noise-Driven AI Sensors: Secure Healthcare Monitoring with PUFs Comprehensive survey of com- putational ECG analysis: Databases, methods and applications,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:28:26.008126Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2a3a7191-5b0e-48fd-b57c-1459c0a39e9b · outbound

This paper cites Healthcare IoT market by component, ap- plication, end user, and region—Global forecast to 2025,.

Noise-Driven AI Sensors: Secure Healthcare Monitoring with PUFs Healthcare IoT market by component, ap- plication, end user, and region—Global forecast to 2025,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:28:25.826701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation fb070b63-219a-42c5-ae4f-fcd7d92e8239 · outbound

This paper cites Deep learning-based cardiovascular image diagnosis: A promising challenge,.

Noise-Driven AI Sensors: Secure Healthcare Monitoring with PUFs Deep learning-based cardiovascular image diagnosis: A promising challenge,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:28:25.415622Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8db48c63-7e34-45d9-89b5-5d04c6a5aa8a · outbound

This paper cites Automatic Detection of Atrial Fibrillation from Single-Lead ECG Using Deep Learning of the Car- diac Cycle,.

Noise-Driven AI Sensors: Secure Healthcare Monitoring with PUFs Automatic Detection of Atrial Fibrillation from Single-Lead ECG Using Deep Learning of the Car- diac Cycle,

Reference 11

Resolution: verified exact; doi, observed 2026-08-07T10:28:24.269901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation bef5d983-1cfe-477d-96bb-08d6a933f198 · outbound

This paper cites Physical unclon- able functions and applications: A tutorial,.

Noise-Driven AI Sensors: Secure Healthcare Monitoring with PUFs Physical unclon- able functions and applications: A tutorial,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:28:25.213208Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 98ca9f3d-5a89-4a48-98f8-0a717536b21a · outbound

This paper cites Automated detection of atrial fibrillation using R-R intervals and multivariate-based classification,.

Noise-Driven AI Sensors: Secure Healthcare Monitoring with PUFs Automated detection of atrial fibrillation using R-R intervals and multivariate-based classification,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:28:24.926270Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1bdfd2a7-46e1-4f36-869b-ed38b5771d5e · outbound

This paper cites Federated machine learning: Concept and applications,.

Noise-Driven AI Sensors: Secure Healthcare Monitoring with PUFs Federated machine learning: Concept and applications,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:28:24.694821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e6f1c724-f01c-4b44-9fda-cb496097f842 · outbound

This paper cites Available: https://www.marketsandmarkets.com/Market- Reports/iot-healthcare-market-160082804.html.

Noise-Driven AI Sensors: Secure Healthcare Monitoring with PUFs Available: https://www.marketsandmarkets.com/Market- Reports/iot-healthcare-market-160082804.html

Reference 2020

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:28:25.617675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Pith citing papers

No inbound Pith citation observations are available.