Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-08T17:15:08.343846Z
Paper Citation Record · LEDGER
Detection of Physiological Data Tampering Attacks with Quantum Machine Learning
As of 23 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 0 inbound Pith citation observations for arXiv:2502.05966.
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 2026-08-22T06:32:14.747728+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
20 of 20 outbound references displayed
- verified exact0
- verified fuzzy18
- unresolved2
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 9056cfc9-ce00-4693-a7fa-2f1abf9858ab · outbound
This paper cites A systematic review of adver- sarial machine learning attacks, defensive controls, and technologies,.
Detection of Physiological Data Tampering Attacks with Quantum Machine Learning A systematic review of adver- sarial machine learning attacks, defensive controls, and technologies,
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T17:15:08.702792Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 21cfbf53-46e9-44cc-836a-6c6b4722fe92 · outbound
This paper cites Data security and privacy in wireless body area networks,.
Detection of Physiological Data Tampering Attacks with Quantum Machine Learning Data security and privacy in wireless body area networks,
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T17:15:08.686514Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation d5968c04-612c-4693-a69f-e536941ed934 · outbound
This paper cites Security issues in biomedical wireless sensor networks,.
Detection of Physiological Data Tampering Attacks with Quantum Machine Learning Security issues in biomedical wireless sensor networks,
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T17:15:08.668409Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 3b5a18a2-f939-44f9-8423-99b64c92c6f9 · outbound
This paper cites Anomaly detection using machine learning to discover sensor tampering in iot systems,.
Detection of Physiological Data Tampering Attacks with Quantum Machine Learning Anomaly detection using machine learning to discover sensor tampering in iot systems,
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T17:15:08.651745Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 5bf198a3-fc32-432d-bcb8-186160f8635c · outbound
This paper cites Anomaly behavior analysis for iot sensors,.
Detection of Physiological Data Tampering Attacks with Quantum Machine Learning Anomaly behavior analysis for iot sensors,
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T17:15:08.633571Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation c8b54a4a-dbf7-41a5-b6f8-8d720bd6742f · outbound
This paper cites Hybrid anomaly detection model on trusted iot devices,.
Detection of Physiological Data Tampering Attacks with Quantum Machine Learning Hybrid anomaly detection model on trusted iot devices,
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T17:15:08.616109Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 84f3d1d6-a6c3-40f5-9ac8-a5e48e2515d0 · outbound
This paper cites Data poisoning attacks on federated machine learning,.
Detection of Physiological Data Tampering Attacks with Quantum Machine Learning Data poisoning attacks on federated machine learning,
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T17:15:08.599716Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 8f26a3f0-ea07-413a-ac03-9efa458d3cdc · outbound
This paper cites Data poisoning attacks against machine learning algorithms,.
Detection of Physiological Data Tampering Attacks with Quantum Machine Learning Data poisoning attacks against machine learning algorithms,
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T17:15:08.283163Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b69537a9-0657-488b-922b-208f5b159ffe · outbound
This paper cites Quantum machine learning in feature hilbert spaces,.
Detection of Physiological Data Tampering Attacks with Quantum Machine Learning Quantum machine learning in feature hilbert spaces,
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T17:15:08.571624Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 2a322174-c589-4c76-95b1-626779d84fb3 · outbound
This paper cites Supervised learning with quantum- enhanced feature spaces,.
Detection of Physiological Data Tampering Attacks with Quantum Machine Learning Supervised learning with quantum- enhanced feature spaces,
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T17:15:08.556249Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 81917a8d-56fb-43db-a554-cbbc377ad04f · outbound
This paper cites Anomaly detection for real-world cyber-physical security using quantum hybrid support vector machines,.
Detection of Physiological Data Tampering Attacks with Quantum Machine Learning Anomaly detection for real-world cyber-physical security using quantum hybrid support vector machines,
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T17:15:08.538417Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 1bf731a0-5b03-4e55-8757-e9b9b42cda8e · outbound
This paper cites Automated security test generation with formal threat models,.
Detection of Physiological Data Tampering Attacks with Quantum Machine Learning Automated security test generation with formal threat models,
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T17:15:08.519213Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 60ca8506-7ef7-441e-83dd-aa5708d28da6 · outbound
This paper cites Univer- sal adversarial perturbations,.
Detection of Physiological Data Tampering Attacks with Quantum Machine Learning Univer- sal adversarial perturbations,
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T17:15:08.499021Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 6095db27-803a-4750-b9d6-5bfcdfae0d22 · outbound
This paper cites The effect of electroen- cephalogram (eeg) reference choice on information-theoretic measures of the complexity and integration of eeg signals,.
Detection of Physiological Data Tampering Attacks with Quantum Machine Learning The effect of electroen- cephalogram (eeg) reference choice on information-theoretic measures of the complexity and integration of eeg signals,
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T17:15:08.481625Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 6ce0fd9e-0085-4017-b108-3227be2cf073 · outbound
This paper cites Ephnogram: A simulta- neous electrocardiogram and phonocardiogram database,.
Detection of Physiological Data Tampering Attacks with Quantum Machine Learning Ephnogram: A simulta- neous electrocardiogram and phonocardiogram database,
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T17:15:08.465146Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 148dba04-d176-4de2-aa9b-7973a51ad379 · outbound
This paper cites Physiobank, physiotoolkit, and physionet: Components of a new research resource for complex physiologic signals,.
Detection of Physiological Data Tampering Attacks with Quantum Machine Learning Physiobank, physiotoolkit, and physionet: Components of a new research resource for complex physiologic signals,
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T17:15:08.448141Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 1322daca-e069-4383-a456-523f9b4e7c98 · outbound
This paper cites Machine learning based stress monitoring in older adults using wearable sensors and cortisol as stress biomarker,.
Detection of Physiological Data Tampering Attacks with Quantum Machine Learning Machine learning based stress monitoring in older adults using wearable sensors and cortisol as stress biomarker,
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T17:15:08.431090Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 82c0073f-a9f0-4c93-b9db-5595dfba1163 · outbound
This paper cites Utilizing machine learning for context-aware digital biomarker of stress in older adults,.
Detection of Physiological Data Tampering Attacks with Quantum Machine Learning Utilizing machine learning for context-aware digital biomarker of stress in older adults,
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T17:15:08.334755Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2b891f13-d558-4743-b80d-89968280714a · outbound
This paper cites Predicting stress in older adults with rnn and lstm from time series sensor data and cortisol,.
Detection of Physiological Data Tampering Attacks with Quantum Machine Learning Predicting stress in older adults with rnn and lstm from time series sensor data and cortisol,
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T17:15:08.402011Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 9b47bb96-e159-4a0c-b16a-8f4f161f8058 · outbound
This paper cites Principal component analysis: A natural approach to data exploration,.
Detection of Physiological Data Tampering Attacks with Quantum Machine Learning Principal component analysis: A natural approach to data exploration,
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T17:15:08.383544Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Pith citing papers
No inbound Pith citation observations are available.