Emanuel Shirbint Research Review

Independent Research Archive · Data, Artificial Intelligence, Clinical Systems and Institutional Governance

Independent Research Archive
Established online · 2026
ORCID 0009-0004-8538-7140

Publications

Publications

A formal bibliographic list. Peer-reviewed journal articles are listed separately from preprints. Peer-review status is never implied where none exists.

Peer-reviewed journal articles (4)

  1. Michal Greenberg Abrahami, Yehuda Warszawer, Alon Kalron, Emanuel Shirbint, Maria Didikin, Anat Achiron (2025). Development of an interactive biosensing application for assessing finger dexterity. Digital Health. https://doi.org/10.1177/20552076241297734. [record]
  2. Yehuda Warszawer, Michael Gurevich, Ariel Kerpel, Sapir Dreyer Alster, Yael Nissan, Emanuel Shirbint, Chen Hoffmann, Anat Achiron (2024). Mapping brain volume change across time in primary-progressive multiple sclerosis. Neuroradiology. https://doi.org/10.1007/s00234-024-03354-7. [record]
  3. Sapir Dreyer-Alster, Shay Menascu, Mathilda Mandel, Emanuel Shirbint, David Magalashvili, Mark Dolev, Shlomo Flechter, Uri Givon, Diana Guber, Yael Stern, Shmuel Miron, Michael Polliack, Rina Falb, Polina Sonis, Michael Gurevich, Anat Achiron (2022). COVID-19 vaccination in patients with multiple sclerosis: Safety and humoral efficacy of the third booster dose. Journal of the Neurological Sciences. https://doi.org/10.1016/j.jns.2022.120155. [record]
  4. Anat Achiron, Mark Dolev, Shay Menascu, Daniela-Noa Zohar, Sapir Dreyer-Alster, Shmuel Miron, Emanuel Shirbint, David Magalashvili, Shlomo Flechter, Uri Givon, Diana Guber, Yael Stern, Michael Polliack, Rina Falb, Michael Gurevich (2021). COVID-19 vaccination in patients with multiple sclerosis: What we have learnt by February 2021. Multiple Sclerosis Journal. https://doi.org/10.1177/13524585211003476. [record]

Preprints, empirical studies & conceptual frameworks (8)

The following are not peer-reviewed. Reported experiments in the LLM-agent works are synthetic controlled pilots.

  1. Emanuel Shirbint (2026). Bounded Recursive Self-Improvement Under Human Governance: Evidence from a Seven-Cycle Reinforcement Learning Contour Experiment. Preprints.org. https://doi.org/10.20944/preprints202608.0975.v2. Version 2 preprint; empirical governed local experiment; not peer-reviewed. [record] [evidence guide]
  2. Emanuel Shirbint (2026). The Reinforcement Learning Contour: From Document Production to Governed Epistemic Transformation in AI-Assisted Scientific Inquiry. Preprints.org. https://doi.org/10.20944/preprints202608.0212.v2. [record]
  3. Emanuel Shirbint (2026). When Local Truth Produces Global Falsehood: Moral Grounding, Institutional Volition, and Systemic Error in Artificial Intelligence. Preprints.org. https://doi.org/10.20944/preprints202607.1084.v1. [record]
  4. Emanuel Shirbint, Alexander Rybalov (2026). Measuring What Survives: Pressure-Filtered Persistence and a Masking Index for LLM-Agent Safety Evaluation. Research Square. https://doi.org/10.21203/rs.3.rs-10026792/v1. [record]
  5. Emanuel Shirbint, Alexander Rybalov (2026). A Topological Robustness and Anti-Fragility Framework for LLM Agents. Research Square. https://doi.org/10.21203/rs.3.rs-9932131/v1. [record]
  6. Emanuel Shirbint, Alexander Rybalov (2026). Human Digital Twins and Self-Knowledge: A Governed Attractor Architecture for Sound Self-Abduction. Preprints.org. https://doi.org/10.20944/preprints202606.0132.v1. [record]
  7. Emanuel Shirbint, Alexander Rybalov (2026). From Plausible Narrative to Sound Abduction: A Governed Abductive Architecture for Medical Digital Twins in Multiple Sclerosis Care. Preprints.org. https://doi.org/10.20944/preprints202605.0728.v1. [record]
  8. Yehuda Warszawer, Nathan Molinier, Jan Valošek, Pierre-Louis Benveniste, Sandrine Bédard, Emanuel Shirbint, Feroze B. Mohamed, Charidimos Tsagkas, Shannon Kolind, Larry Lynd, Jiwon Oh, Alexandre Prat, Roger Tam, Anthony Traboulsee, Scott Patten, Lisa Eunyoung Lee, Anat Achiron, Julien Cohen-Adad (2025). TotalSpineSeg: Robust Spine Segmentation with Landmark-Based Labeling in MRI. ResearchGate (preprint) · associated conference material. https://doi.org/10.13140/RG.2.2.31318.56649. [record]

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