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From the 1 of 6 linked papers with an AI index.

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6 papers

cs.CV2026

Inverting the Streaming-Diffusion Bottleneck: Video-Rate MLLM-Conditioned Edit Diffusion on a Consumer GPU

Yoshiyuki Ootani

The paper presents a highly distilled diffusion U‑Net paired with a multimodal LLM encoder and a streaming pipeline that keeps the encoder off the denoiser’s critical path, enablin…

cs.LG2026

Grokking Is Conditional and Fragile: A Fully-Tractable, Multi-Seed Study at 12K Parameters

Yoshiyuki Ootani

Grokking -- the delayed onset of generalization long after a network has fit its training set - -is usually studied in models too large to read completely and reported from single…

cs.LG2026

Input Pathways Shape Few-Shot, Not Zero-Shot, Binding in Tiny Transformers: A Fully-Enumerable Study

Yoshiyuki Ootani

How does the way information reaches a transformer -- as symbolic tokens, a clean per-factor "oracle" code, or an entangled perceptual vector -- shape whether it binds that informa…

cs.CR2026

Search-Bound Proximity Proofs: Binding Encrypted Geographic Search to Zero-Knowledge Verification

Yoshiyuki Ootani

Location-based systems that combine encrypted geographic search with zero-knowledge proximity proofs typically treat the two phases as independent. Under an honest-but-curious serv…

cs.CR2026

Context-Binding Gaps in Stateful Zero-Knowledge Proximity Proofs: Taxonomy, Separation, and Mitigation

Yoshiyuki Ootani

A zero-knowledge proximity proof certifies geometric nearness but carries no commitment to an application context. In stateful geo-content systems, where drops can share coordinate…

cs.CR2026

Graduated Trust Gating for IoT Location Verification: Trading Off Detection and Proof Escalation

Yoshiyuki Ootani

IoT location services accept client-reported GPS coordinates at face value, yet spoofing is trivial with consumer-grade tools. Existing spoofing detectors output a binary decision,…