Author
Toeda Taiko
Recent research
- Society & EconomicsOpen access
This paper is the third in the author's answer-entitlement series. The first asked when an AI system is warranted in answering; the second asked what infrastructure supports bounded, recoverable delegation. This paper asks whether a sequence of individually warranted and recovera...
- Society & EconomicsOpen access
This paper is the third in the author's answer-entitlement series. The first asked when an AI system is warranted in answering; the second asked what infrastructure supports bounded, recoverable delegation. This paper asks whether a sequence of individually warranted and recovera...
- AI & ComputingOpen access
This paper proposes a formal and operational account of the half-step principle within the Möbius Project. The half-step principle states that a reflective AI system should not habitually complete the user's next conceptual move on the user's behalf; instead, it should return a n...
- AI & ComputingOpen access
This paper proposes a formal and operational account of the half-step principle within the Möbius Project. The half-step principle states that a reflective AI system should not habitually complete the user's next conceptual move on the user's behalf; instead, it should return a n...
- AI & ComputingOpen access
This paper sets out the Semantic Interface Model, the classical core under two layers of the Möbius Project: MUSE 2.0, a quantitative reading of "meaning-bearing flow", and TCR 3.0, which keeps from the Theory of Cognitive Relativity the idea that geometry is relative to the obse...
- AI & ComputingOpen access
Measuring Consensus Across Language Models and the Limits of Normative Interpretation
Version 2.2.1. A pre-registered relational measurement of where large language models agree. Three registered hypotheses on seven deployments across five vendor families are supported: all-model consensus is rarer than a pooled-marginal independence baseline predicts; it concentr...
- AI & ComputingOpen access
The Reflective Budget Governor: Equilibrium-Based Early Stopping for Iterative LLM Refinement
A three-signal stopping rule for iterative LLM refinement derived from the Möbius theory stack: an equilibrium-distance surrogate d̂_R (RZGM meaning-equilibrium layer), an update-free-recurrence and diversity-collapse detector pair (Reflective Homeostasis Layer), and a hard refle...
- Society & EconomicsOpen access
Version 1.1 (2026-09-19). Version 1.0 stated that the English rebuild could not be compared against the published English store, because the cleaning pass behind that store no longer exists as a script. That was wrong: the missing script only prevents reproducing the Japanese/Chi...
- AI & ComputingOpen access
Unanimity in Disguise: What an Observed-Support Entropy Threshold Actually Detects at Short Windows
Two deployed detectors in the Möbius stack — the saturation signal of the Reflective Budget Governor (RBG) and the saturation score of the Reflective Homeostasis Layer (RHL) — compute one minus the Shannon entropy of a short window of categorical observations, normalized by the l...
- AI & ComputingOpen access
Unanimity in Disguise: What an Observed-Support Entropy Threshold Actually Detects at Short Windows
Two deployed detectors in the Möbius stack — the saturation signal of the Reflective Budget Governor (RBG) and the saturation score of the Reflective Homeostasis Layer (RHL) — compute one minus the Shannon entropy of a short window of categorical observations, normalized by the l...
- Society & EconomicsOpen access
Three findings keep recurring in one governance program for LLM agents: pattern enumeration loses to attack variation; guards that are trusted as defenses degrade silently and report health while failing; and the mediation point that survives as a locus of judgment is not the tex...
- AI & ComputingOpen access
Preregistration is normally a promise: authors declare hypotheses and analyses before data collection and readers trust that the declaration constrained the work. This paper registers a study whose preregistration is instead partially executable — encoded in the same machinery th...
- Society & EconomicsOpen access
Three findings keep recurring in one governance program for LLM agents: pattern enumeration loses to attack variation; guards that are trusted as defenses degrade silently and report health while failing; and the mediation point that survives as a locus of judgment is not the tex...
- Engineering & TechnologyOpen access
A 2×2 study (quantization regime × released model pair) of governed routing quality for Gemma 4 12B (dense; a clean same-base pair) and a 26B-class MoE released pair on one RTX 5070 Ti, run under a fixed, bit-identical governance stack via Ollama at temperature 0. Within-pair reg...
- Engineering & TechnologyOpen access
A 2×2 study (quantization regime × released model pair) of governed routing quality for Gemma 4 12B (dense; a clean same-base pair) and a 26B-class MoE released pair on one RTX 5070 Ti, run under a fixed, bit-identical governance stack via Ollama at temperature 0. Within-pair reg...
- AI & ComputingOpen access
Browser agents act inside the user's authenticated session, so a page that smuggles instructions into its own content can borrow the user's authority. The common defence is to detect the malicious text. We built the complementary thing — a gate that never reads content and classi...
- AI & ComputingOpen access
Browser agents act inside the user's authenticated session, so a page that smuggles instructions into its own content can borrow the user's authority. The common defence is to detect the malicious text. We built the complementary thing — a gate that never reads content and classi...
- AI & ComputingOpen access
Inference-time governance of language-model systems is built from *overlays*: system-prompt policies, metacognitive check organs, safety checklists, routing disciplines. Each overlay, alone, can improve output quality. The natural engineering move — stack every beneficial overlay...
- Society & EconomicsOpen access
How many times should a system re-read and revise its own answer? Empirical work in the MOBIUS measurement campaign found a consistent answer across thirteen open-weight model capacities: once or twice — never zero above a capacity threshold, never many, and *less than zero* belo...
- AI & ComputingOpen access
Production retrieval-augmented systems increasingly abstain through *cascades* of heterogeneous gates — a cheap mechanical check before the model call, a content-aware rule inside it. What does the second gate actually buy, when does gate ordering matter, and what can be certifie...