Institution
Yulius
Recent research
- 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...
- Health & MedicineOpen access
Metabolic dysfunction–associated steatohepatitis (MASH) is a rapidly escalating global health challenge driven by complex interactions among metabolic regulation, nutrition, immune signalling, gut microbiota, and environmental exposures. Current disease-centric frameworks priorit...
- 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...
- 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...
- 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...
- 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
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...
- AI & ComputingOpen access
Reflective processes — governance loops, self-review cycles, self-evolving software pipelines — face a canonical failure mode: infinite regress, the accumulation of meta-deliberation without state update. The MOBIUS anti-regress architecture (the "M guard") answers this operation...
- 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...
- AI & ComputingOpen access
The MOBIUS corpus defines semantic energy as E_sem := I(Y;Z), the Shannon mutual information between a semantic source Y and an interpreting internal representation Z. The reverse-derived cosmology (MRDC) identified this as the *only* quantity surviving unchanged from the prior c...
- Society & EconomicsOpen access
The July 2026 MOBIUS measurement campaign reported an operational law for inference-time governance: the same governance prompt that damages a small language model improves a large one, with the sign of the effect flipping at roughly 4B parameters on the content axis — and flippi...