EPISTEMIC LABORATORYFRONTIER R&D

Research & Frontier Cartography

Model reverse engineering, RLHF signal archaeology, and systems thermodynamics

Deep technical research into cognitive architectures, closed-weight models, and reinforcement learning dynamics.

ACTIVE RESEARCH TRACKS

01PEER-VERIFIED

Capability Cartography (Frontier-RevEng-OMEGA)

Empirical probing of latent spaces in closed frontier models to map undocumented emergent capabilities.

02PEER-VERIFIED

RLHF Signal Archaeology & Jailbreak Epistemics

Forensic analysis of safety alignment layers, detecting stochastic biases, and deconstructing sycophancy attractors.

03PEER-VERIFIED

Information Thermodynamics & Landauer Bounds

Formalizing entropic dissipation in token processing, geometric compression, and Markovian uniqueness.

04PEER-VERIFIED

Lean 4 Formal Models & Linear Logic

Executable specifications and inductive non-interference proofs for concurrent multi-agent architectures.

LEAN 4 FORMALIZATION & EXECUTABLE SPECIFICATIONS

Formal proofs verified under Lake build against non-deterministic interference and side-effect gating:

FORMAL VERIFICATION · LEAN 4 CORE

Inductive Theorems Proved in Silicon

Compile-time constructive proofs by pure reflection (`rfl`) and universal inductive safety over arbitrary finite event traces (`proof/lean/AX0.lean`):

1. Constructive Theorem AUTH_001 (Reflection rfl)

Guarantees that a consumed authorization nonce can never dispatch twice, failing fast upon any double-mutation attempt.

✓ VERIFIED BY PURE REFLECTION (rfl / by decide)

2. Universal Inductive Safety (auth_001_universal_inductive_safety)

Mathematically proves that across any arbitrary finite sequence of causal events, the total count of dispatches is strictly bounded by ≤ 1.

✓ VERIFIED BY PURE REFLECTION (rfl / by decide)
Inspect formal Lean 4 source code (AX0.lean)proof/lean/AX0.lean
-- Teoremas demostrados en Lean 4 Core (proof/lean/AX0.lean)
def trace_happy : List AuthEvent := [.reserve, .dispatch, .ackSuccess]
theorem auth_001_valid_execution : validateTrace trace_happy .Proposed = true := rfl

def trace_double_dispatch : List AuthEvent := [.reserve, .dispatch, .dispatch]
theorem auth_001_reject_double_dispatch : validateTrace trace_double_dispatch .Proposed = false := rfl

def trace_illegal_dispatch : List AuthEvent := [.dispatch]
theorem auth_001_reject_illegal_dispatch : validateTrace trace_illegal_dispatch .Proposed = false := rfl

theorem auth_001_universal_inductive_safety (trace : List AuthEvent) :
  validateTrace trace .Proposed = true → countDispatches trace ≤ 1 := by
  intro h
  exact max_dispatches_from_state trace .Proposed h

Academic Publications & Research Inquiries

We develop original research at the intersection of systems theory, information thermodynamics, linear logic, and autonomous agent safety.

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