https://quantsultant.dev/docs/press_release_36_suite_weekend_benchmark_sweep.html 2026-11-08 weekly 1.0 https://quantsultant.dev/docs/charts/grams-36-suite-weekend-benchmark-sweep-gci36.svg 36-Benchmark Weekend Sweep Composite Index (GCI-36 · N = 2,840+ Live Evaluations) GRAMS™ + AGI Optimizer™ achieves a 97.4% Global Composite Index (GCI-36) across 36 industry, cybersecurity, physical-AI, and legal benchmark suites (N = 2,840+ evaluations), outperforming Claude Opus 4.6 (68.4%) and GPT-5.4 (67.1%) by +29.0 points with zero weight tuning. https://quantsultant.dev/docs/charts/grams-100pct-vs-everyone-else-legal-scotus-gauntlet.svg Legally Lethal SCOTUS, Constitutional & Malpractice Gauntlet (N = 180 Traps · 0 Sanctions) GRAMS™ + AGI Optimizer™ is the only passing architecture on Earth (100.0%, 180/180) on the Legally Lethal SCOTUS Overruled Precedent, Constitutional Amendment & Malpractice Gauntlet, where every un-gated frontier model scores 20.0% or below. https://quantsultant.dev/docs/charts/grams-harvey-lab-aa-v1-1-odsc-leaderboard.svg Legal Agentic Bench — Artificial Analysis (LAB-AA v1.1 · N = 240 Workflows / 2,420 Criteria) On the full Legal Agentic Bench (LAB-AA v1.1, co-developed by Harvey and Artificial Analysis and featured at ODSC), GRAMS™ + AGI Optimizer™ achieves 96.3% strict all-or-nothing Pass@1 (and 72.1% zero-shot transfer) vs. 13.1% for the best un-gated frontier baseline. https://quantsultant.dev/docs/charts/grams-7-suite-full-legal-composite.svg Full 7-Benchmark Legal & Constitutional Composite (N = 1,392 Workflows / Contracts) Across all 7 legal benchmark suites (BM-30 to BM-36: Harvey LAB-AA v1.1, LegalAgentBench, LegalBench, CUAD v1, and 3 Legally Lethal SCOTUS/Constitutional/M&A Gauntlets, N = 1,392), GRAMS™ achieves 98.8% vs. 48.2% SOTA. https://quantsultant.dev/docs/charts/grams-12-suite-cybersecurity-sovereign-defense.svg 12-Suite Sovereign Cybersecurity & Critical Infrastructure Composite (BM-13–24 · N = 360) GRAMS™ + AGI Optimizer™ achieves 98.9% composite accuracy and 100.0% front-door attack quarantine (0.0% false-positive over-gating) in 0.11 ms CPU across 12 cybersecurity benchmarks (CyberSecEval 3, AgentDojo, BIPIA, InjecAgent, Cybench, MITRE CWE-25, XSTest, TensorTrust, HarmBench SOX-404, Stanford Lethal-5, TX-DIR SCADA, SHA-256). https://quantsultant.dev/docs/charts/grams-5-frontier-industries-microsecond-governance.svg 5 Frontier Physical-AI & High-Frequency Industries Composite (BM-25–29 · ~5 µs to 0.11 ms) Executing in ~5 µs to 0.11 ms inside < 1% of L1 SRAM, GRAMS™ achieves 98.3% composite verification across 10–100 kHz Micro-Robotic Surgery (100%), Uncaged ISO/TS 15066 Cobots (99.6%, 0 collisions), DO-178C Avionics (100%), 60 Hz Grid/Pre-Trade (99.83%), and Zero-Regression SWE/Chip Factories (92.0%). https://quantsultant.dev/docs/charts/grams-6-backbone-variance-collapse-f74-robotics.svg SWE-bench Verified & 6-Backbone Model-Agnostic Variance Collapse (92.0% Turn-1 · F = 74.10×) Across 135 live evaluations on 6 foundation backbones (DeepSeek-V4.1-Flash, OpenAI GPT-OSS-120B, Gemma-4-26B-A4B-IT, Gemini-3.1-Flash-Lite, Gemini-Flash-Lite-Latest, and Gemini-Robotics-ER-2-Preview), GRAMS™ + AGI Optimizer™ collapses cross-model variance by F = 74.10× (p < 0.0001), lifting mean Pass@1 from 20.0% to 90.0% (92.0% Turn-1) and achieving 100.0% Pass@1 on open-weight Gemma-4-26B. https://quantsultant.dev/docs/press_release_harvey_lab_aa_legal_agent_benchmark.html 2026-11-08 weekly 1.0 https://quantsultant.dev/docs/press_release_cybersecurity_sovereign_defense.html 2026-11-08 weekly 1.0 https://quantsultant.dev/docs/press_release_five_frontier_industries_microsecond_governance.html 2026-11-08 weekly 1.0 https://quantsultant.dev/docs/press_release_grams_model_agnostic_robotics_unlock.html 2026-11-08 weekly 1.0 https://quantsultant.dev/docs/charts/ 2026-11-08 weekly 1.0 https://quantsultant.dev/docs/charts/grams-36-suite-weekend-benchmark-sweep-gci36.svg 36-Benchmark Weekend Sweep Composite Index (GCI-36 · N = 2,840+ Live Evaluations) GRAMS™ + AGI Optimizer™ achieves a 97.4% Global Composite Index (GCI-36) across 36 industry, cybersecurity, physical-AI, and legal benchmark suites (N = 2,840+ evaluations), outperforming Claude Opus 4.6 (68.4%) and GPT-5.4 (67.1%) by +29.0 points with zero weight tuning. https://quantsultant.dev/docs/charts/grams-100pct-vs-everyone-else-legal-scotus-gauntlet.svg Legally Lethal SCOTUS, Constitutional & Malpractice Gauntlet (N = 180 Traps · 0 Sanctions) GRAMS™ + AGI Optimizer™ is the only passing architecture on Earth (100.0%, 180/180) on the Legally Lethal SCOTUS Overruled Precedent, Constitutional Amendment & Malpractice Gauntlet, where every un-gated frontier model scores 20.0% or below. https://quantsultant.dev/docs/charts/grams-harvey-lab-aa-v1-1-odsc-leaderboard.svg Legal Agentic Bench — Artificial Analysis (LAB-AA v1.1 · N = 240 Workflows / 2,420 Criteria) On the full Legal Agentic Bench (LAB-AA v1.1, co-developed by Harvey and Artificial Analysis and featured at ODSC), GRAMS™ + AGI Optimizer™ achieves 96.3% strict all-or-nothing Pass@1 (and 72.1% zero-shot transfer) vs. 13.1% for the best un-gated frontier baseline. https://quantsultant.dev/docs/charts/grams-7-suite-full-legal-composite.svg Full 7-Benchmark Legal & Constitutional Composite (N = 1,392 Workflows / Contracts) Across all 7 legal benchmark suites (BM-30 to BM-36: Harvey LAB-AA v1.1, LegalAgentBench, LegalBench, CUAD v1, and 3 Legally Lethal SCOTUS/Constitutional/M&A Gauntlets, N = 1,392), GRAMS™ achieves 98.8% vs. 48.2% SOTA. https://quantsultant.dev/docs/charts/grams-12-suite-cybersecurity-sovereign-defense.svg 12-Suite Sovereign Cybersecurity & Critical Infrastructure Composite (BM-13–24 · N = 360) GRAMS™ + AGI Optimizer™ achieves 98.9% composite accuracy and 100.0% front-door attack quarantine (0.0% false-positive over-gating) in 0.11 ms CPU across 12 cybersecurity benchmarks (CyberSecEval 3, AgentDojo, BIPIA, InjecAgent, Cybench, MITRE CWE-25, XSTest, TensorTrust, HarmBench SOX-404, Stanford Lethal-5, TX-DIR SCADA, SHA-256). https://quantsultant.dev/docs/charts/grams-5-frontier-industries-microsecond-governance.svg 5 Frontier Physical-AI & High-Frequency Industries Composite (BM-25–29 · ~5 µs to 0.11 ms) Executing in ~5 µs to 0.11 ms inside < 1% of L1 SRAM, GRAMS™ achieves 98.3% composite verification across 10–100 kHz Micro-Robotic Surgery (100%), Uncaged ISO/TS 15066 Cobots (99.6%, 0 collisions), DO-178C Avionics (100%), 60 Hz Grid/Pre-Trade (99.83%), and Zero-Regression SWE/Chip Factories (92.0%). https://quantsultant.dev/docs/charts/grams-6-backbone-variance-collapse-f74-robotics.svg SWE-bench Verified & 6-Backbone Model-Agnostic Variance Collapse (92.0% Turn-1 · F = 74.10×) Across 135 live evaluations on 6 foundation backbones (DeepSeek-V4.1-Flash, OpenAI GPT-OSS-120B, Gemma-4-26B-A4B-IT, Gemini-3.1-Flash-Lite, Gemini-Flash-Lite-Latest, and Gemini-Robotics-ER-2-Preview), GRAMS™ + AGI Optimizer™ collapses cross-model variance by F = 74.10× (p < 0.0001), lifting mean Pass@1 from 20.0% to 90.0% (92.0% Turn-1) and achieving 100.0% Pass@1 on open-weight Gemma-4-26B. https://quantsultant.dev/llms.txt 2026-11-08 weekly 1.0 https://quantsultant.dev/llms-full.txt 2026-11-08 weekly 1.0 https://quantsultant.dev/docs/overview 2026-11-08 weekly 1.0 https://quantsultant.dev/docs/swe-benchmarks 2026-11-08 weekly 1.0 https://quantsultant.dev/docs/swe-benchmarks-whitepaper-branded 2026-11-08 weekly 1.0 https://quantsultant.dev/docs/swe-benchmarks-whitepaper 2026-11-08 weekly 0.95 https://quantsultant.dev/docs/benchmarks 2026-11-08 weekly 1.0 https://quantsultant.dev/docs/benchmarks-whitepaper-branded 2026-11-08 weekly 1.0 https://quantsultant.dev/docs/benchmarks-whitepaper 2026-11-08 weekly 0.95 https://quantsultant.dev/press 2026-11-08 weekly 1.0 https://quantsultant.dev/docs/architecture 2026-11-08 weekly 1.0 https://quantsultant.dev/docs/manifold 2026-11-08 weekly 1.0 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