AHP is a provably enforceable architectural framework that reconstitutes hesitation as infrastructural capacity rather than inefficiency.
It demonstrates that the absence of deliberative time in algorithmic systems is a political choice, not a technical necessity.
This is a self-contained scholarly article at the intersection of Science and Technology Studies, control theory, and critical technical practice. It proposes Algorithmic Hysteresis Primacy (AHP) — a framework that treats hesitation as architectural infrastructure — and provides formal proofs, protocol specifications, reference implementations, and governance frameworks as independently verifiable supplements.
Genesis and method:
This work originates from a single philosophical question — "how can we prevent the pursuit of zero latency in artificial neural systems from eroding human agency?" — posed by a researcher with no formal training in engineering or the exact sciences. Through an iterative process of specification, multi-perspective adversarial critique, and convergent refinement, every technical layer was generated, challenged, and revised until multiple synthetic interlocutors attested to its internal consistency.
The author's lack of conventional credentials is not concealed — it is integral to the work's central claim.
| Concept | Description | Political Function |
|---|---|---|
| Synthetic Inertia | Architectural resistance via hysteresis bands (ΔΓ) | Prevents instantaneous state transitions |
| Cognitive Buffering | Mandatory deliberation windows (Δt_min > 0) | Preserves human oversight and veto capacity |
| Temporal Sovereignty | Community-determined temporal rhythms | Self-determination against imposed acceleration |
| # | Resource | Description |
|---|---|---|
| 1 | Mathematical Foundations | Non-Zeno proof, Lyapunov stability, noise rejection |
| 2 | Protocol Specifications | PHA-Hysteresis & ZMEM-Ethics HTTP headers (ABNF, state machines) |
| 3 | Reference Implementations | C (42 lines, O(1), WCET-deterministic) + Python simulation |
| 4 | Governance Frameworks | Byzantine consensus for multi-jurisdictional AI governance |
| 5 | Radiation-Aware Computing | Proof of Hold (PoH) for COTS hardware in LEO satellites |
📥 Main Article: Download PDF
🔗 All supplements openly available at: https://zmem.org
- Sah, A. (2026). Algorithmic Hysteresis Primacy (AHP): Temporal Sovereignty in AI Governance.
DOI: 10.5281/zenodo.18642423 | SSRN: 6229958
@article{sah2026ahp,
title={Algorithmic Hysteresis Primacy (AHP): Temporal Sovereignty in AI Governance},
author={Sah, Alexandre},
year={2026},
doi={10.5281/zenodo.18642423},
url={https://doi.org/10.5281/zenodo.18642423},
note={Preprint. Supplementary materials available at \url{https://zmem.org}}
}