Benchmarks and comparisons with decision models

LlamaIndex notebook comparing Jev with open decoders, encoders and specialised tools on document-pipeline Choice tasks.

Pre-registered paired audit of Jev on Spanish across 3,200 labelled items, plus a CLI to rerun it on your own data.

FGV Direito SP experiment comparing Jev with Gemini 3.8 Flash and GPT-5.6 Luna for annotating 12 variables in 120 TJSP court rulings.

Black-box reverse-engineering archive studying how the Jev decision model behaves, with evidence matrices and calibration analysis.

Pre-registered independent evaluation of Jev on intent classification and confidence-gated cascades, with a transparent erratum.

Independent field guide to Jev 1.13.0 behaviour across 11,621 requests: framing sensitivity, Snake and 3D city driving experiments.

Reliability-curve study of Jev on 240 hand-labelled agent tool calls, publishing labels, raw responses and scripts.

Independent API-only audit of what Jev's probabilities mean: abstain removal, Korean, coherence, option order, interference and caching.

Research decoder that treats Jev as a language model, assembling replies from repeated choices over phrases, words and letters.

Reproducible test of viral Jev HFT claims: direction not calibrated, never under 100 ms, and no edge after trading fees.

Pre-registered study testing Jev's calibration claims on clinical diagnosis cases against Claude Opus 5 and Opus 5.5.

Paper code where Jev screens agent tool output for relevance and prompt injection before the agent reads it.

Research framework (DART) testing whether Jev's probabilities are a reliable signal to answer, escalate or abstain.

Jev applied to SemEval-2026 DimABSA dimensional sentiment tasks using only typed primitives, no generation or fine-tuning.

Reads Jev-style choice, yes/no and score probabilities from masked diffusion language models with shared Yes/No weights.

Benchmark harness comparing Jev with OpenRouter models and open Jev-shaped models on accuracy, calibration, latency and cost.

Write-up testing whether Jev beats small fast LLM tiers on public and private classification, as a classifier or a filter.

Third-party check of Jev versus GPT-4o-mini and Claude Sonnet 4.5 routing 60 multilingual photo-shoot booking inquiries.

Agent harness with 100 mocked tools measuring steps to finish tasks when the LLM picks tools versus when Jev picks them.

Experiments testing Jev ideas against baselines, starting with Jev as a top-10 tool router for MCP agents on three benchmarks.

Evidence ledger auditing Jev claims, recomputing published calibration and running an 800-item difficulty-gradient study.

Audit of 300 web pages for AI citability with nine Jev decisions each, checked against an LLM judge for agreement, cost and latency.

Nine-board gomoku workbench comparing how two Jev players respond to five different input representations of the board.

Same support agent and 25 rules guarded twice, by an LLM judge and by Jev, compared on accuracy, latency, cost and coverage.

Evaluation of Jev versus DeepSeek and Qwen on healthcare decision tasks: triage, diagnosis, medication, nursing and trial screening.

Word-level language model whose output layer is Jev: next-word choices, Noul-verified drafted chunks and bits-per-token evaluation.

Reproducible measurements of Jev's real cost, latency, response shapes and accuracy, plus 13 decision models on the same 633 items.

Runnable yardstick that tests Jev's three headline claims on a small local model: typed output, no hallucination, calibration.

Simulation-only Payment Decision Lab testing whether Jev can beat rule-based routers at choosing payment service providers.

MuJoCo pilot where Jev, Claude Haiku and reactive rules choose pick-and-place actions; Jev matched the rules exactly.