6 résultats
Batched, Fused and Streaming Estimation on Apple Silicon without Sacrificing Inference
We ask whether heterogeneous high-frequency econometric workloads—realized measures, rolling and batched regressions, HAR forecasting models, GARCH-family quasi-maximum likelihood, block bootstrap inference—can be reorganised into batched, fused, streaming computation on Apple Silicon GPUs without sacrificing…
A hypothesis-driven, reproducible study of secp256k1, ECDSA, BIP340 Schnorr and SHA-256 with machine-checked identities and controlled negative results
Bitcoin's security rests on the elliptic-curve discrete-logarithm problem on secp256k1, on SHA-256, and on the ECDSA and BIP340 Schnorr signature schemes. The generic cost of the discrete logarithm, Θ(√n), is a theorem in the generic-group model; the curve's unusual structure, a special prime, j-invariant 0 and…
Design, controlled evaluation, and negative and positive evidence at the 100M-parameter scale
PRISME augments a frozen causal decoder with a read-only source bank, an ephemeral sixteen-slot latent workspace re-created at every position, a shared sparse editor that rewrites one or two slots per action, a value controller trained on counterfactual intervention gains measured by executing paired edit/no-edit…
A Reproducible Study of Fidelity, Communication Cost, and Repeated Handoffs
Agents built on language models hand information to one another as text, summaries, structured evidence, shared-memory references or, when they share a checkpoint, attention state (the KV cache). This paper asks under which task, model, cache, network and reuse conditions each representation preserves task-relevant…
Scientific Verification, Reproducibility, and the Cost of Delegation: A Controlled Study
Instruction files that steer coding agents through research tasks range from one sentence to several thousand words of phases, gates and integrity rules, but whether that structure changes what the agent delivers has not been measured with the agent held fixed. The paper reports 288 live Claude Code runs (362…
Reasoning-Augmented Tool Orchestration, In-Loop Numerical Computation, and Multi-Format Reporting
Large language models write fluently about finance, but fluency does not make a number correct, current, or reproducible. This paper is a design-science description of VQuant, a deployed web platform that couples a reasoning-capable LLM with a deterministic execution substrate so that a natural-language request…