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Paper Citation Record · LEDGER

SAMD: A Tool for Identifying False Data Injection Scenarios in AI/ML-enabled Medical Devices

As of 17 August 2026, this Paper Citation Record lists 60 of 60 outbound references and 0 inbound Pith citation observations for arXiv:2605.29210.

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

pith.paper-citation-record.v1
2605.29210 v1

Coverage vector

measured 60 of 60 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-29T07:15:45.430553Z

measured 60 of 60 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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Source: cited_works

Reference resolution

60 of 60 outbound references displayed

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  • verified fuzzy0
  • unresolved57
  • parse uncertain0
  • malformed identifier0
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Outbound references

Observation 5a1cbbea-4567-44fe-8024-ae601015c727 · outbound

This paper cites Principles and Perspectives in Medical Diagnostic Systems Employing Artificial Intel- ligence (AI) Algorithms,.

SAMD: A Tool for Identifying False Data Injection Scenarios in AI/ML-enabled Medical Devices Principles and Perspectives in Medical Diagnostic Systems Employing Artificial Intel- ligence (AI) Algorithms,

Reference 1

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Observation a8d416fa-4a56-4bb7-9725-d4cdaac96abc · outbound

This paper cites Artificial Intelligence and Machine Learning (AI/ML)-Enabled Medical Devices,.

SAMD: A Tool for Identifying False Data Injection Scenarios in AI/ML-enabled Medical Devices Artificial Intelligence and Machine Learning (AI/ML)-Enabled Medical Devices,

Reference 2

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Observation db9f0950-cf01-4b11-a92b-8de74e0d0d8a · outbound

This paper cites NuVasive Pulse System,.

SAMD: A Tool for Identifying False Data Injection Scenarios in AI/ML-enabled Medical Devices NuVasive Pulse System,

Reference 3

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Observation 3063d471-2f36-4ecb-975e-9e3a4ccd2154 · outbound

This paper cites One Drop Blood Glucose Mon- itoring System,.

SAMD: A Tool for Identifying False Data Injection Scenarios in AI/ML-enabled Medical Devices One Drop Blood Glucose Mon- itoring System,

Reference 4

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Observation 6636fe6c-8c55-4753-a099-7115120e7e10 · outbound

This paper cites Adversarial Attacks to Machine Learning-Based Smart Healthcare Systems,.

SAMD: A Tool for Identifying False Data Injection Scenarios in AI/ML-enabled Medical Devices Adversarial Attacks to Machine Learning-Based Smart Healthcare Systems,

Reference 5

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Observation fccc49d3-74eb-4292-8dc8-6adf4c399101 · outbound

This paper cites Threats to Training: A Survey of Poisoning Attacks and Defenses on Machine Learning Systems,.

SAMD: A Tool for Identifying False Data Injection Scenarios in AI/ML-enabled Medical Devices Threats to Training: A Survey of Poisoning Attacks and Defenses on Machine Learning Systems,

Reference 6

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Observation af5e5e0a-26ea-4a06-ae1d-1bd2a97e2098 · outbound

This paper cites Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI,.

SAMD: A Tool for Identifying False Data Injection Scenarios in AI/ML-enabled Medical Devices Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI,

Reference 7

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Observation f95ecff1-fde6-445a-864d-24a9e33879ae · outbound

This paper cites Secure and Robust Machine Learning for Healthcare: A Survey,.

SAMD: A Tool for Identifying False Data Injection Scenarios in AI/ML-enabled Medical Devices Secure and Robust Machine Learning for Healthcare: A Survey,

Reference 8

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Observation f09ac71a-afa0-4876-b2e3-22abc19362c1 · outbound

This paper cites Protected or porous: a comparative analysis of threat detection capability of iot safeguards,.

SAMD: A Tool for Identifying False Data Injection Scenarios in AI/ML-enabled Medical Devices Protected or porous: a comparative analysis of threat detection capability of iot safeguards,

Reference 9

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Observation b4686a0c-1235-4adf-b3b8-ea2e276f4d5e · outbound

This paper cites A study of data store-based home automation,.

SAMD: A Tool for Identifying False Data Injection Scenarios in AI/ML-enabled Medical Devices A study of data store-based home automation,

Reference 10

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Observation b3a587ea-ec5e-4ec6-b6af-4621ff93a197 · outbound

This paper cites Patching up: Stakeholder experiences of security updates for connected medical devices,.

SAMD: A Tool for Identifying False Data Injection Scenarios in AI/ML-enabled Medical Devices Patching up: Stakeholder experiences of security updates for connected medical devices,

Reference 11

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Observation 96a88518-cc54-4310-87f9-d32834f5df79 · outbound

This paper cites Discovering and understanding the security hazards in the interactions between{IoT}devices, mobile apps, and clouds on smart home platforms,.

SAMD: A Tool for Identifying False Data Injection Scenarios in AI/ML-enabled Medical Devices Discovering and understanding the security hazards in the interactions between{IoT}devices, mobile apps, and clouds on smart home platforms,

Reference 12

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Observation 33cdeb86-ff25-4b44-9f59-c3006c1cbcac · outbound

This paper cites Systems-Theoretic and Data-Driven Security Analysis in ML-enabled Medical Devices.

SAMD: A Tool for Identifying False Data Injection Scenarios in AI/ML-enabled Medical Devices Systems-Theoretic and Data-Driven Security Analysis in ML-enabled Medical Devices

Reference 13

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Observation 47754df2-8192-444d-bce6-15d85f21add0 · outbound

This paper cites Systems thinking for safety and security,.

SAMD: A Tool for Identifying False Data Injection Scenarios in AI/ML-enabled Medical Devices Systems thinking for safety and security,

Reference 14

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Observation fbfb5c48-4f9c-4531-ae3b-ab48c9b00d29 · outbound

This paper cites Introduction to stpa-sec,.

SAMD: A Tool for Identifying False Data Injection Scenarios in AI/ML-enabled Medical Devices Introduction to stpa-sec,

Reference 15

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Observation 9578f31f-bec3-470f-bb01-026c48434a72 · outbound

This paper cites d-Nav System,.

SAMD: A Tool for Identifying False Data Injection Scenarios in AI/ML-enabled Medical Devices d-Nav System,

Reference 16

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Observation 933c49bd-ab56-4d77-a319-63b7f6a9424b · outbound

This paper cites ABMD Software,.

SAMD: A Tool for Identifying False Data Injection Scenarios in AI/ML-enabled Medical Devices ABMD Software,

Reference 17

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Observation fe5fb626-3c7e-40e7-8ed2-0f14dc98d6af · outbound

This paper cites IDx-DR v2.3,.

SAMD: A Tool for Identifying False Data Injection Scenarios in AI/ML-enabled Medical Devices IDx-DR v2.3,

Reference 18

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Observation d56cbef0-6f44-4169-9651-db748c4c091c · outbound

This paper cites KIDScore D3,.

SAMD: A Tool for Identifying False Data Injection Scenarios in AI/ML-enabled Medical Devices KIDScore D3,

Reference 19

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Observation cbf3ee2e-169d-483f-bb6d-323e4572d9ba · outbound

This paper cites Oxehealth Vital Signs,.

SAMD: A Tool for Identifying False Data Injection Scenarios in AI/ML-enabled Medical Devices Oxehealth Vital Signs,

Reference 20

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Observation f7b46bd2-7edb-495b-8155-b2d1d2a1b54e · outbound

This paper cites Leveson,Engineering a safer world: Systems thinking applied to safety.

SAMD: A Tool for Identifying False Data Injection Scenarios in AI/ML-enabled Medical Devices Leveson,Engineering a safer world: Systems thinking applied to safety

Reference 21

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Observation 5426fd76-d9bb-45b3-a1f8-2e33253faea3 · outbound

This paper cites An stpa primer,.

SAMD: A Tool for Identifying False Data Injection Scenarios in AI/ML-enabled Medical Devices An stpa primer,

Reference 22

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Observation e954e128-195a-4f12-b8aa-e2ba8e959d30 · outbound

This paper cites System-theoretic process analysis for security (STPA-SEC): Cyber security and STPA,.

SAMD: A Tool for Identifying False Data Injection Scenarios in AI/ML-enabled Medical Devices System-theoretic process analysis for security (STPA-SEC): Cyber security and STPA,

Reference 23

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Observation 1165ec5c-747e-4262-9cce-7cd8d7870164 · outbound

This paper cites Integrating autonomous vehicle safety and security analysis using STPA method and the six- step model,.

SAMD: A Tool for Identifying False Data Injection Scenarios in AI/ML-enabled Medical Devices Integrating autonomous vehicle safety and security analysis using STPA method and the six- step model,

Reference 24

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Observation 02c424d0-bd1e-405e-87ee-05b1c6806593 · outbound

This paper cites Safety and Security Analysis of AEB for L4 Autonomous Vehicle Using STPA,.

SAMD: A Tool for Identifying False Data Injection Scenarios in AI/ML-enabled Medical Devices Safety and Security Analysis of AEB for L4 Autonomous Vehicle Using STPA,

Reference 25

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Observation 4a9b3ce4-ac7f-47d5-90a6-43eec2692703 · outbound

This paper cites Sam: Foreseeing inference-time false data injec- tion attacks on ml-enabled medical devices,.

SAMD: A Tool for Identifying False Data Injection Scenarios in AI/ML-enabled Medical Devices Sam: Foreseeing inference-time false data injec- tion attacks on ml-enabled medical devices,

Reference 26

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Observation d8cc8bed-e9d5-40e4-825d-af834c6b9f04 · outbound

This paper cites Abdulkhaleq and S.

SAMD: A Tool for Identifying False Data Injection Scenarios in AI/ML-enabled Medical Devices Abdulkhaleq and S

Reference 27

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Observation 59908a8c-9d00-456c-8fe5-f02e8ffb188d · outbound

This paper cites XSTAMPP: an eXtensible STAMP platform as tool support for safety engineering,.

SAMD: A Tool for Identifying False Data Injection Scenarios in AI/ML-enabled Medical Devices XSTAMPP: an eXtensible STAMP platform as tool support for safety engineering,

Reference 28

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Observation 9922837c-17ce-44f9-851a-9546023a3f51 · outbound

This paper cites Transportation systems safety hazard analysis tool (SafetyHAT) user guide (version 1.0),.

SAMD: A Tool for Identifying False Data Injection Scenarios in AI/ML-enabled Medical Devices Transportation systems safety hazard analysis tool (SafetyHAT) user guide (version 1.0),

Reference 29

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Observation a5bc65e6-c71a-4b0b-a965-5c2edfd63e2c · outbound

This paper cites WebSTAMP: A web application for STPA & STPA-Sec,.

SAMD: A Tool for Identifying False Data Injection Scenarios in AI/ML-enabled Medical Devices WebSTAMP: A web application for STPA & STPA-Sec,

Reference 30

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Observation e5e5d4f9-06d5-48e0-85f7-848e3f692f20 · outbound

This paper cites A STAMP-based ontology approach to support safety and security analyses,.

SAMD: A Tool for Identifying False Data Injection Scenarios in AI/ML-enabled Medical Devices A STAMP-based ontology approach to support safety and security analyses,

Reference 31

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Observation a19d0581-3ab4-4bb7-baaf-ff3565cd4a5a · outbound

This paper cites Safety Analysis in the Era of Large Language Models: A Case Study of STPA Using ChatGPT,.

SAMD: A Tool for Identifying False Data Injection Scenarios in AI/ML-enabled Medical Devices Safety Analysis in the Era of Large Language Models: A Case Study of STPA Using ChatGPT,

Reference 32

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Observation 53c7ca23-0471-4a82-b3fc-c3139c7840b8 · outbound

This paper cites Welcome Your New AI Teammate: On Safety Analysis by Leashing Large Language Models,.

SAMD: A Tool for Identifying False Data Injection Scenarios in AI/ML-enabled Medical Devices Welcome Your New AI Teammate: On Safety Analysis by Leashing Large Language Models,

Reference 33

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Observation e3784463-c9d3-4f18-b128-fc03a6dcb0b5 · outbound

This paper cites Engineering Safety Requirements for Autonomous Driving with Large Language Models,.

SAMD: A Tool for Identifying False Data Injection Scenarios in AI/ML-enabled Medical Devices Engineering Safety Requirements for Autonomous Driving with Large Language Models,

Reference 34

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Observation 31ea4b4c-d52f-4d16-916e-3cb1b3270405 · outbound

This paper cites Systematically Assessing the Security Risks of AI/ML-enabled Con- nected Healthcare Systems,.

SAMD: A Tool for Identifying False Data Injection Scenarios in AI/ML-enabled Medical Devices Systematically Assessing the Security Risks of AI/ML-enabled Con- nected Healthcare Systems,

Reference 35

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Observation b6888915-8a57-46cf-94b4-5ef75f053b59 · outbound

This paper cites Design and validation of an open-source closed-loop testbed for artificial pancreas systems,.

SAMD: A Tool for Identifying False Data Injection Scenarios in AI/ML-enabled Medical Devices Design and validation of an open-source closed-loop testbed for artificial pancreas systems,

Reference 36

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Observation c7954598-e94d-4f79-abb3-9e02405905f2 · outbound

This paper cites Blur- tooth: Exploiting cross-transport key derivation in bluetooth classic and bluetooth low energy,.

SAMD: A Tool for Identifying False Data Injection Scenarios in AI/ML-enabled Medical Devices Blur- tooth: Exploiting cross-transport key derivation in bluetooth classic and bluetooth low energy,

Reference 37

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Observation 5a2d5340-ed17-4ad8-b463-e0df04193db6 · outbound

This paper cites Android source code vulnerability detection: a systematic literature review,.

SAMD: A Tool for Identifying False Data Injection Scenarios in AI/ML-enabled Medical Devices Android source code vulnerability detection: a systematic literature review,

Reference 38

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Observation 6bebd62b-9aa1-4ffd-8a16-4e380078b61d · outbound

This paper cites Survey on wireless network security,.

SAMD: A Tool for Identifying False Data Injection Scenarios in AI/ML-enabled Medical Devices Survey on wireless network security,

Reference 39

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Observation b606a103-a538-43d9-a9a6-ecafee6fc05d · outbound

This paper cites Electromagnetic radiofrequency radiation emitted from gsm mobile phones decreases the accuracy of home blood glucose monitors,.

SAMD: A Tool for Identifying False Data Injection Scenarios in AI/ML-enabled Medical Devices Electromagnetic radiofrequency radiation emitted from gsm mobile phones decreases the accuracy of home blood glucose monitors,

Reference 40

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Observation c260a2b5-0fca-4cb7-9738-4343f8386482 · outbound

This paper cites Hallucinations in llms: Understanding and addressing challenges,.

SAMD: A Tool for Identifying False Data Injection Scenarios in AI/ML-enabled Medical Devices Hallucinations in llms: Understanding and addressing challenges,

Reference 41

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Observation dceb740c-98af-4b22-b5d2-bb373ee01c3f · outbound

This paper cites Medaiscout: Automated retrieval of known machine learning vulnerabilities in medical applications,.

SAMD: A Tool for Identifying False Data Injection Scenarios in AI/ML-enabled Medical Devices Medaiscout: Automated retrieval of known machine learning vulnerabilities in medical applications,

Reference 42

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Observation 25950db6-b53d-417b-8b93-e99830d636ff · outbound

This paper cites GLiNER: Generalist model for named entity recognition using bidirectional transformer,.

SAMD: A Tool for Identifying False Data Injection Scenarios in AI/ML-enabled Medical Devices GLiNER: Generalist model for named entity recognition using bidirectional transformer,

Reference 43

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Observation 474644a7-a329-4c8f-b0df-182fcf017b55 · outbound

This paper cites GPT-4 Technical Report.

SAMD: A Tool for Identifying False Data Injection Scenarios in AI/ML-enabled Medical Devices GPT-4 Technical Report

Reference 44

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-06-29T07:15:45.430553Z digest=sha256:92a24c4ded5f90a5e2d49e661413834ff534c860390f4f540ecc447a6a88af1f

Observation 707cb7ec-be1e-4de5-bb52-3706eeb8063b · outbound

This paper cites Security Vulnerabilities, Attacks, Countermeasures, and Regulations of Networked Medical De- vices—A Review,.

SAMD: A Tool for Identifying False Data Injection Scenarios in AI/ML-enabled Medical Devices Security Vulnerabilities, Attacks, Countermeasures, and Regulations of Networked Medical De- vices—A Review,

Reference 45

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Observation ebb8737b-fef7-4931-a1f1-ece977756922 · outbound

This paper cites How ChatGPT and our foundation models are developed,.

SAMD: A Tool for Identifying False Data Injection Scenarios in AI/ML-enabled Medical Devices How ChatGPT and our foundation models are developed,

Reference 46

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Observation 719cd3de-ad20-40b3-9108-fcebf5f726e1 · outbound

This paper cites Available: https://openai.com/policies/how-chatgpt-and- our-foundation-models-are-developed/.

SAMD: A Tool for Identifying False Data Injection Scenarios in AI/ML-enabled Medical Devices Available: https://openai.com/policies/how-chatgpt-and- our-foundation-models-are-developed/

Reference 47

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Observation 8f33c572-c521-4648-b208-25ef99d7ef84 · outbound

This paper cites Role play with large language models,.

SAMD: A Tool for Identifying False Data Injection Scenarios in AI/ML-enabled Medical Devices Role play with large language models,

Reference 48

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Observation d3bab11e-8aee-4177-bde2-4ed6f9eebd0a · outbound

This paper cites CAMEL: Communicative Agents for.

SAMD: A Tool for Identifying False Data Injection Scenarios in AI/ML-enabled Medical Devices CAMEL: Communicative Agents for

Reference 49

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Observation e036778b-066c-4856-9e09-469396f3029c · outbound

This paper cites Teler: A general taxonomy of llm prompts for benchmarking complex tasks,.

SAMD: A Tool for Identifying False Data Injection Scenarios in AI/ML-enabled Medical Devices Teler: A general taxonomy of llm prompts for benchmarking complex tasks,

Reference 50

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Observation c0e3c427-b53e-4523-9df5-e969a7c0212b · outbound

This paper cites MITRE ATT&CK.

SAMD: A Tool for Identifying False Data Injection Scenarios in AI/ML-enabled Medical Devices MITRE ATT&CK

Reference 51

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Observation 387e0f62-2de1-42b7-b398-5ee1ca849ed2 · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large language models,.

SAMD: A Tool for Identifying False Data Injection Scenarios in AI/ML-enabled Medical Devices Chain-of-thought prompting elicits reasoning in large language models,

Reference 52

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Observation 82d320aa-e3e4-49aa-8af0-cc83d3abc553 · outbound

This paper cites The llama 3 herd of models,.

SAMD: A Tool for Identifying False Data Injection Scenarios in AI/ML-enabled Medical Devices The llama 3 herd of models,

Reference 53

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Observation f3ee7c29-c128-41fd-b2fa-86c97c5015d6 · outbound

This paper cites A mathematical investigation of hallucination and creativity in gpt models,.

SAMD: A Tool for Identifying False Data Injection Scenarios in AI/ML-enabled Medical Devices A mathematical investigation of hallucination and creativity in gpt models,

Reference 54

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source=pdf_text observed=2026-06-29T07:15:45.430553Z digest=sha256:47e1f52b8518e89bf25e0bfcce786745b08de6189a326ccca13bbfb4e3643145

Observation 648a19f2-6ccc-4036-88b3-4ef10bd291dc · outbound

This paper cites Judging llm-as-a-judge with mt-bench and chatbot arena,.

SAMD: A Tool for Identifying False Data Injection Scenarios in AI/ML-enabled Medical Devices Judging llm-as-a-judge with mt-bench and chatbot arena,

Reference 55

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Observation 3ae16b24-1dd4-464a-b89a-87c5d41c9ec4 · outbound

This paper cites Model Inversion Attacks that Exploit Confidence Information and Basic Countermeasures,.

SAMD: A Tool for Identifying False Data Injection Scenarios in AI/ML-enabled Medical Devices Model Inversion Attacks that Exploit Confidence Information and Basic Countermeasures,

Reference 56

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Observation 52be2be5-b9b7-4852-9b4e-a881dc869caa · outbound

This paper cites CT-GAN: Malicious tampering of 3d medical imagery using deep learning,.

SAMD: A Tool for Identifying False Data Injection Scenarios in AI/ML-enabled Medical Devices CT-GAN: Malicious tampering of 3d medical imagery using deep learning,

Reference 57

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source=pdf_text observed=2026-06-29T07:15:45.430553Z digest=sha256:dfc84ecde69f698fdc1ae6e40f8828d96b322c378c4d6ed91a6175e0bb6492e9

Observation 15917018-7827-4b21-8b77-417d0e123ebe · outbound

This paper cites Adversarial exposure attack on diabetic retinopathy imagery grading,.

SAMD: A Tool for Identifying False Data Injection Scenarios in AI/ML-enabled Medical Devices Adversarial exposure attack on diabetic retinopathy imagery grading,

Reference 58

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Observation 513aa99e-1b3e-4df2-9563-a655798ca11a · outbound

This paper cites Adver- sarial attacks and adversarial robustness in computational pathology,.

SAMD: A Tool for Identifying False Data Injection Scenarios in AI/ML-enabled Medical Devices Adver- sarial attacks and adversarial robustness in computational pathology,

Reference 59

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source=pdf_text observed=2026-06-29T07:15:45.430553Z digest=sha256:21a1f4cea83bb3248178cb94aad456d3414871b9016b87544de1dc91c3a76f5c

Observation aa35da41-0877-46e5-8915-b34b5353aea5 · outbound

This paper cites Adversarial Perturbations Against Real-Time Video Classification Systems.

SAMD: A Tool for Identifying False Data Injection Scenarios in AI/ML-enabled Medical Devices Adversarial Perturbations Against Real-Time Video Classification Systems

Reference 60

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-06-29T07:15:45.430553Z digest=sha256:14e7091d51cfd1f106261cdb497df09e17a4f5a60195e024c425e251b0e45840

Pith citing papers

No inbound Pith citation observations are available.