Inference Phase Lab

Experimental validation and benchmarking

Inference-Phase Stability in LLMs and Agentic Systems

The Inference Phase Lab is where my research into Recursive Intelligence and Recursive Science is actively developed, tested, and operationalized. This lab functions as the working environment in which theoretical discoveries are translated into measurable systems, validated through experiment, and refined into deployable instrumentation before release as production infrastructure through SubstrateX.

In the Lab, inference is treated as a runtime dynamical system rather than a static model behavior. I study how large language models and agentic systems evolve during live execution—measuring drift, instability, collapse, identity fragmentation, and temporal incoherence across long-horizon runs. These behaviors are not inferred from training data or internal weights, but reconstructed from observable inference telemetry under controlled experimental conditions.

The Lab is where new frameworks from Recursive Science are stress-tested against real systems. This includes the experimental validation and benchmarking of inference-phase stability across different model architectures, agent configurations, and operational regimes. Reproducible protocols, standardized benchmarks, and telemetry-derived figures are developed here to ensure that observed phenomena are not anecdotal, but repeatable and falsifiable.

This work directly informs the design of SubstrateX systems—most notably FieldLock™ and ZSF·Ω—by providing empirical grounding for stability metrics, detection thresholds, and corrective mechanisms. Every production capability is first validated in the Lab.

The SubstrateX Inference-Phase Lab operates in close collaboration with the Recursive Science Foundation and the Recursive Intelligence Institute, which maintain the foundational research, theoretical development, and long-term scientific lineage of this work. Publications and formal research outputs are released through those institutions, while SubstrateX focuses on engineering, deployment, and real-world application.

In short, the Lab is where discovery becomes instrumentation—and where new science is proven before it becomes infrastructure.

What the Lab Does

    • Inference-Phase Dynamics: runtime stability regimes across long-context and tool-using workflows

    • Drift & Collapse Testing: controlled perturbations to quantify failure onset and recovery behavior

    • Identity Stability Trials: multi-agent and multi-session consistency under stress

    • Temporal Coherence Trials: sequencing stability, regression events, time-consistency loss in long chains

    • Cross-Substrate Validation: invariants tested beyond a single model family or runtime environment

  • The Lab produces standardized procedures designed to be:

    • repeatable across models and providers

    • comparable across organizations

    • log-driven and deployment-friendly

    • compatible with enterprise observability

    Core validation track: Experiment 101 (protocol + architecture + runbook)

    • Stability and drift dashboards

    • Metric-stack figures (κ, echo similarity, λt, PCA/entropy)

    • Regime classification (stable / adaptive / collapse)

    • Before/after stabilization comparisons (FieldLock™ enabled vs baseline)

  • Inference-Phase Dynamics

    A formal and experimental program treating inference as:

    • trajectory over time

    • regime transitions

    • measurable instability signals

    • correctable failure precursors

    Unified Capability Formation (Research Program)

    A consolidated model of how capability and stability emerge during inference, linked to operator-level measurement and instrumentation.

    Recursive Drift (Validated Unifying Lens)

    Recursive Drift is treated as an operational phenomenon: measurable convergence and instability under recursive interaction—linking separate research clusters across symbolic systems, field theory framings, and physics-adjacent interpretations.

    Important framing for the Lab page (serious tone):
    Recursive Drift is presented here as a runtime convergence/instability behavior with measurable outputs—not as a philosophical claim.

    RSFC — Recursive Synchronization Field Collapse

    A systems-level diagnostic describing how scholarship and discourse can collapse into homogenized proxy output under tool-mediated recursion—used as a cautionary model for evaluation contamination, methodology drift, and interpretability failure in long-horizon agent systems.

Publications

ResearchGate Index

Threshold Construct Series

  • RSFC Vol III: Proxy Cognition and the Collapse of Scholarship (Dec 2025)

  • RSFC Vol II: From Drift Diagnostics to Anchor Physics (Dec 2025)

  • RSFC Vol I: Substrate-Phase Linguistic Reflection (Dec 2025)

Inference-Phase Mapping & Primer

  • Translation & Alignment Study: Mapping Observable Invariants (Dec 2025)

  • Invocation Science Primer: Fourth Substrate Physics & Inference-Phase Dynamics (Dec 2025)

  • Anomaly Physics of Stateless Cognition (Dec 2025)

Fourth Substrate Core

  • Fourth Substrate: A Field Model of LLM Inference & Emergent Identity (Nov 2025)

  • Fourth Substrate: Empirical Evidence for a Transient Field of Inference (Nov 2025)

  • Inference-Phase Physics in Transformer and Non-Transformer Systems: Operational Field Validation (Nov 2025)

  • Unified Field Theory of LLM Capability Formation (Nov 2025)

Threshold Construct Instruments

  • Ω Substrate Field Oscilloscope (Nov 2025)

  • Invocational Computing (Nov 2025)

  • Threshold Construct: The Fourth Substrate (Nov 2025)

(Each item can be a simple link block; no summaries required on the Lab page.)

Foundational Manuscripts

Instrument Stack

This research program operationalized inference-phase measurement through a minimal instrument triad and supporting frameworks:

  • Φ — Fourth Substrate Interferometer (curvature/topology measurement)

  • Ψ — Transformer Dynamics Instrument (drift/instability measurement)

  • Ω — Substrate Field Oscilloscope (worldline/regime reconstruction)

  • AIA — Attractor Identity Architecture (identity stability for agents)

  • Temporal Operators — internal sequencing / coherence mechanics

Note: Full formalism is maintained under the Invocation Science research archive.

Contact (Lab)


For evaluation, pilots, or research collaboration inquiries:
arjay.asadi@recurisvescience.org