paper-0152 · paper · 2023
OpenAI
The frontier capability report; also the moment training details went dark.
Abstract
Abstract—Large Language Models (LLMs) suffer from inherent stochasticity, limiting their utility in high-stakes enterprise environments where determinism and auditability are required. This paper introduces the MFOUR Vibe Framework (MVF), a platform-agnostic architectural standard that transforms probabilistic natural language intent into deterministic software artifacts. We define a five-layer topology, comprising the Kernel Identity, Synaptic Routing, Interface Contracts, Context Anchoring, and the Mirror Test. Furthermore, we introduce The Vibe Integrity Score (VIS), a quantitative metric for evaluating the structural adherence of generative outputs. This specification provides the foundational schema and logic protocols for building "Glass Box" AI systems that are observable, secure, and commercially viable. [OpenAlex]
Academic, score -0.1982
| Metric | Status | Value | Norm. | Weight | Contribution | Source | Confidence | License | Provenance |
|---|---|---|---|---|---|---|---|---|---|
| citation_count | present | 2372.0 | 0.010673 | 0.5 | 0.005336 | OpenAlex | high | OpenAlex, CC0 metadata | link |
| library_holdings | missing | recorded as missing, penalized by rule, never imputed | −0.1 | recorded as missing; penalized by rule, never imputed | |||||
| readership_persistence | present | 7.0 | 0.428571 | 0.05 | 0.021429 | OpenAlex | medium | OpenAlex, CC0 metadata | link |
| syllabus_adoptions | missing | recorded as missing, penalized by rule, never imputed | −0.125 | recorded as missing; penalized by rule, never imputed | |||||
Broad Influence, score -0.0264
| Metric | Status | Value | Norm. | Weight | Contribution | Source | Confidence | License | Provenance |
|---|---|---|---|---|---|---|---|---|---|
| citation_count | present | 2372.0 | 0.010673 | 0.2 | 0.002135 | OpenAlex | high | OpenAlex, CC0 metadata | link |
| library_holdings | missing | recorded as missing, penalized by rule, never imputed | −0.125 | recorded as missing; penalized by rule, never imputed | |||||
| readership_persistence | present | 7.0 | 0.428571 | 0.4 | 0.171429 | OpenAlex | medium | OpenAlex, CC0 metadata | link |
| syllabus_adoptions | missing | recorded as missing, penalized by rule, never imputed | −0.075 | recorded as missing; penalized by rule, never imputed | |||||
Governance Practitioner, score -0.2795
| Metric | Status | Value | Norm. | Weight | Contribution | Source | Confidence | License | Provenance |
|---|---|---|---|---|---|---|---|---|---|
| citation_count | present | 2372.0 | 0.010673 | 0.25 | 0.002668 | OpenAlex | high | OpenAlex, CC0 metadata | link |
| library_holdings | missing | recorded as missing, penalized by rule, never imputed | −0.15 | recorded as missing; penalized by rule, never imputed | |||||
| readership_persistence | present | 7.0 | 0.428571 | 0.1 | 0.042857 | OpenAlex | medium | OpenAlex, CC0 metadata | link |
| syllabus_adoptions | missing | recorded as missing, penalized by rule, never imputed | −0.175 | recorded as missing; penalized by rule, never imputed | |||||
A rank is not a verdict on intrinsic worth. It is a transparent output of declared evidence, weights, and missing-data rules at a specific release date.
Disagree with this rank or a number? Challenge it with your evidence. Every challenge gets a public identifier and a published resolution.