The HTCP Research Program: Theoretical Foundations, Falsifiable Protocols, and Governance Frameworks for Human-Machine Decision Chains

This upload contains the complete theoretical and protocol specifications of the HTCP research program. These works present a unified, falsifiable framework for measuring, governing, and witnessing the invisible state of human-machine decision chains—addressing the structural gap where systems transmit outputs without transmitting the conditions under which those outputs were generated. Contents HTCP Manuscript: Human Transmission Control Protocol: A Falsifiable Zero-PII Signal Architecture for Preserving Chain State in Human-Machine Decision Systems. Defines the Pressure Coefficient (Pc = D(t) × Di), the colour-state signal architecture (Green/Yellow/Red/Correlated Red), and provides five testable, falsifiable predictions. VAAP Protocol Paper: VAAP: Volatility Analysis and Attestation Protocol — A Black-Box Methodology for Measuring LLM Output Variance. Introduces the Volatility Index (Vi = σ × 100), domain perturbation taxonomies (Banking/KYC and Clinical), and a two-key deployment gate. VAAP Technical Companion: A Suite of Five Browser-Native Instruments for Measuring and Containing Large Language Model Output Volatility. Specifies the architecture of the VAAP Console (Vi-N, Vi-C, Vi-S, Vi-Seq, Vi-Chain), the Consequence Ledger, and the Witness Protocol. Token Economy Paper: The Token Is the Meter, Attention Is the Resource: A Unified Theory of AI's Hidden Constraint—and What It Costs. Diagnoses the dual constraint of tokens and attention, identifies seven failure modes, and proposes governance controls (Compression Manifests, Non-Compressible Elements). Witness Economy Paper: An Exploratory Framework for AI Consequence Oversight Using Domain Consequence Memory. Defines the Causal Integrity Witness (CIW), Volatility Assessor, and AI Consequence Auditor roles, proposing structural independence and a Consequence Ledger as the accountability layer. Unifying Thesis The HTCP research program provides the first complete stack to address high-risk AI deployment: Diagnosis (Token Economy) → Measurement (VAAP) → Governance (HTCP) → Human Role (Witness Economy). All papers share a commitment to Zero-PII design, structural independence, and explicit falsifiability. Epistemic Status This is an exploratory, pre-validation research program. Claims are explicitly tiered by evidentiary weight (established argument / novel argument / conjecture / illustrative case / forecast) within each paper. The frameworks are pilot-ready and invite controlled validation, replication, and falsification. Licensing This upload (Theoretical Foundations) is released under CC BY 4.0. You are free to share and adapt with attribution, maximizing academic impact and citations. Companion Implementation Artifacts The working implementations of these protocols (VAAP Console, HTCP Harness, Interactive Demos) are available in a separate Zenodo upload under CC BY-NC 4.0 (retaining commercial rights).Link to Companion Tools: [https://doi.org/10.5281/zenodo.21282997] Contact Murali Swayambu, Independent ResearcherORCID: 0009-0006-3570-9273Email: murali.subanu@gmail.com