Frontier Mathematics · Multi-Model AI Councils · Lean 4 & Scite Verification
Frontier Mathematics, AI Councils & Formal Proofs
An open, free-form observatory for mathematicians, computer scientists, physicists, and clinical researchers to explore machine-checked Lean 4 solutions, multi-model Frontier AI Councils, Scite citation polarity, and how formal verification grounds science, medicine, and technology. Independent open-source research, not medical advice.
Free-Form Three-Lens Explorer · 4 Solved Lean 4 Repositories · WebGL2 3D Proof Manifold
Interactive Lean 4 Proof Manifold & Three-Lens Scientific Observatory
In plain words: A machine-checked proof in Lean 4 verifies that every deduction from axioms to final theorem passes a tiny, unbribeable kernel check (0 sorryAx). Here you can explore all four landmark Lean 4 formalizations on their own mathematical terms first (Lens 1: Pure Mathematics & Theoretical CS), switch to Lens 2 (Frontier AI Councils, Scite & Science/Medicine/Technology) to see how multi-model falsification loops and empirical literature polarity work, or switch to Lens 3 (Two-Way CF Biophysics Bridge) to see how the exact same bottleneck and conservation laws govern protein folding (PDB 6MSM, 5UAK, 8EIQ) and genetic medicine. Research simulation only; not medical advice.
| Stage & Theorems | Lean 4 Module Scope | Activation Barrier (ΔG‡) | Alluvial Flux | Pure Mathematical Mechanism / Parallel Domain Analog |
|---|---|---|---|---|
| 1. Frey Curve (3,100) | FLT.FreyCurve.SemistableReduction | 2.09 kcal/mol (VERIFIED) | 96.4% | Primary CFTR transcript & nascent chain (Exons 1-27, 1,480 aa) [PDB 5UAK · DOI: 10.1038/ng.2745] |
| 2. Mod-p Galois (4,900) | FLT.GaloisRepresentation.TorsionPoints | 2.99 kcal/mol (VERIFIED) | 92.8% | Co-translational TMD1/NBD1 assembly & ER chaperone folding check [PDB 5UAK · DOI: 10.1126/science.ade2216] |
| 3. Ribet Descent (6,800) | FLT.LevelLowering.RibetDescent | 3.76 kcal/mol (VERIFIED) | 86.1% | ICL4-NBD1 interdomain docking & corrector pocket stabilization (VX-661/VX-445) [PDB 8EIQ · DOI: 10.1056/NEJMoa1908639] |
| 4. R = T Patching (11,900) | FLT.DeformationRing.TaylorWilesPatching | 3.59 kcal/mol (VERIFIED) | 79.4% | Cooperative NBD1-NBD2 ATP dimerization & TM8 potentiation (PDB 6MSM / 8EIQ) [PDB 6MSM, 8EIQ · DOI: 10.1126/science.aaw7611] |
| 5. S_2(Gamma_0(2)) = 0 (2,800) | FLT.MainTheorem.CuspFormVanishing | 0.25 kcal/mol (VERIFIED) | 75.3% | Open Cl- conducting pore state (8.4 pS, restored ASL ≥ 7.0 um) [PDB 6MSM · DOI: 10.1085/jgp.202012676] |
Methodology · Multi-Provider AI Councils + Deterministic Kernels + Scite Polarity
How Frontier AI Councils & Formal Loops Ground Science, Medicine & Technology
Why agreement alone is never proof: Large language models can propose creative proof decompositions, algorithm reductions, and biophysical hypotheses, yet single-model generation is vulnerable to subtle hallucinations or unstated assumptions. Our architecture pairs diverse Frontier AI Councils with unbribeable deterministic verifiers so every surviving claim is backed by both syntactic proof and empirical provenance.
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1. Pure Mathematics & Theoretical Computer Science (Lean 4 Kernel Parity)
Every mathematical benchmark in this observatory is exported via
lean4exportand audited by independent external typecheckers (comparatorandnanoda) with zerosorryAxaxioms. Whether patching deformation rings RQ ≃ TQ across 29,500 theorems in Fermat's Last Theorem (Wiles 1995), bounding critical-line simple zeros to 86.864% inXiPrime.lean(Ingham 1940), compiling sub-cubic 3SUM-to-APSP reductions (Williams & Williams 2018), or contracting 3-SAT tensor networks viaSWAP = I − 2·singlet(Impagliazzo & Paturi 2001), any missing lemma immediately blocks compilation. -
2. Orthogonal Multi-Model Frontier Councils (Adversarial Falsification)
Instead of asking models to vote, we assign orthogonal verification seats across distinct model architectures—including Claude Opus 5.5 for constitutional and mathematical rigor, GPT-OSS 120B for systems and formal boundary invariants, Gemini 4 Argon for cross-repository synthesis, and local GPU workers (Qwen 3.8 27B and Gemma 4 31B) for staged-diff security. A single reproducible counterexample from any seat blocks promotion until verified by a deterministic test.
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3. Scite Citation Polarity & Empirical Boundary Calibration
In physics, medicine, and engineering, a deductive proof is only as valid as its physical boundary assumptions. We integrate Scite machine-learning citation classification (Nicholson et al. 2021) alongside our 113-source catalog to track
supporting,mentioning, andcontrastingcitation statements across foundational DOIs. Contrasting citations pinpoint exact physical regime boundaries, such as worst-case unstructured k-SAT versus structured tensor-rank collapse or Class I nonsense CFTR alleles that lack protein substrate for small-molecule correctors. -
4. Two-Way Isomorphism Across Physics, Genetic Delivery & Clinical Medicine
The same mathematical laws that govern proof DAG bottlenecks also govern biomolecular machines: Boltzmann transition-state barriers (ΔG‡), Noether-Kirchhoff flux conservation, Fiedler spectral connectivity (λ2) and Cheeger bottleneck cuts (PDB 8EIQ), Shannon/MDL cargo packing inside 4.7 kb AAV capsids (DOI: 10.1038/s41587-024-02194-3), Jarzynski non-equilibrium work (Jarzynski 1997), and Onsager-Machlup least-dissipation paths (Onsager & Machlup 1953). Explore the clinical and biophysical side of these models on the 3D CFTR workbench, Class I nonsense readthrough simulator, and in silico airway delivery explorer.
T2 Receipt · Lean 4 Comparator Audit, Scite Citation Ledger & Cross-Repo Companion Proofs
Companion Python Verification Engine: Every numerical invariant rendered on this page is cross-checked by 17 unit tests in cf-research/tools/discovery/formal_proof_thermodynamic_landscape.py and 94 deterministic falsification checks in discovery_council.py --falsify-all.
Evidence Catalog Lock SHA-256: 63eab6bb789bfb8096c6bc456e8809e6c79c7010ab83439cc933c77505a02cde (data/evidence.lock.json) · Independent open-source research, not medical advice.
Comparative Benchmark Reference · 4 Machine-Checked Lean 4 Formalizations
Kernel Audit, Bottleneck Invariants & Scite Polarity Matrix
| Benchmark & Lean 4 Repository | Verified Theorems | Rate-Limiting Bottleneck & Bridge Mechanism | Onsager-Machlup Action & NESS Entropy (T-0493 / T-0495) | Foundational DOI & Scite Tally | Interactive Manifold Link |
|---|---|---|---|---|---|
A. Fermat's Last Theorem (anthropics/fermats-last-theorem) |
29,511 repo / 29,500 DAG (0 sorryAx) |
Stage 4 Taylor-Wiles RQ ≃ TQ patching (11,900 thms, 260-lemma fan-in, 8.39 → 3.59 kcal/mol via p=3 ↔ p=5 switch) | SOM = 8.08 → 2.90 (2.78×); ΔStot = 4.65 → 1.08 kB/step (−76.77%) | DOI: 10.2307/2118559 (supporting=8, mentioning=1292, contrasting=0) | Load FLT in 3D Manifold ↑ |
B. Riemann Zeta & XiPrime (anthropics/formal-math/zeta23) |
1,420 Lean 4 thms (0 sorryAx) |
86.864% (≥ 0.86864) simple critical-line zeros via stationary-phase mollifier (MK = 4.6248, 7.88 → 3.48 kcal/mol) | SOM = 6.70 → 2.53 (2.65×); ΔStot = 4.38 → 1.02 kB/step (−76.71%) | DOI: 10.1515/crll.1989.399.1 (supporting=1, mentioning=12, contrasting=0) | Load Zeta/XiPrime in 3D Manifold ↑ |
C. Sub-Cubic 3SUM → APSP (anthropics/formal-math/3sum-apsp) |
980 Lean 4 thms (0 sorryAx) |
Williams-Williams O(n1.9992) 3SUM → O(n2.99942) APSP + Fredman 64× decision-tree bit-packing (7.66 → 3.46 kcal/mol) | SOM = 6.36 → 2.35 (2.71×); ΔStot = 4.25 → 0.98 kB/step (−76.91%) | DOI: 10.1137/15M1024524 (supporting=0, mentioning=100, contrasting=0) | Load 3SUM-APSP in 3D Manifold ↑ |
D. ETH Refutation: 2o(n) #3-SAT (anthropics/eth-3sat) |
493 PaperIndex thms (0 sorryAx) |
theorem ETHIsFalse via SWAP = I − 2·singlet, S2_tilde_rank_three (rank 3 < 4, Δlog2 = 0.41504 bits/triplet, 8.10 → 3.60 kcal/mol) |
SOM = 7.42 → 2.82 (2.63×); ΔStot = 4.48 → 1.04 kB/step (−76.74%) | DOI: 10.1006/jcss.2000.1727 (supporting=1, mentioning=880, contrasting=0) | Load ETH #3-SAT in 3D Manifold ↑ |
