Economy organ spec review: data flow corrections, toolchain decisions, typo fix

- M3 hub: predictions publish continuously to Marketplace via M2 (not trader-queried)
- M3 BoundedPrediction: three quality metrics (confidence, correctness, certainty)
- M5 traders: read predictions from Marketplace, mixed roster (LLM + bots)
- M7 SAE: monitors at Marketplace level (the only trader interface)
- M6 Conductor: clarified as LLM, not rule-based
- M4 wallets: one multi-chain wallet per trader, strictly 1:1
- M1 Marketplace: added query_predictions interface for traders
- M3d/M3e: Fortran 2018, gfortran, fpm, OpenBLAS, hand-rolled numerics
- M3b typo: "literao" -> "literal"
- SessionStart hook: added gfortran, fpm, Tcl, ECLiPSe Prolog, Zig, Foundry
- Stub fpm.toml for M3d (mev sims)

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

core/docs/plans/M3e-tokenomics-macro-sims.md

@@ -19,10 +19,12 @@ DeXposure inter-protocol credit propagation C3 (emerging, 2025 — high DeFi spe
 composable yield optimization C4 (Yearn v3, Beefy, production-validated). Specific parameters C1.
 
 ## 3. Language & location
-TBD · `src/economy/sims/tokenomics/`. **Fortran** — SDE solvers (Euler-Maruyama, Milstein),
-state-space estimation, and VAR impulse responses are dense matrix-heavy loops where Fortran's
-array intrinsics and zero-overhead numerics dominate; same language as M3d avoids a toolchain
-split across the heaviest numerical sims.
+**Fortran 2018** (gfortran) · `src/economy/sims/tokenomics/`. Build: **fpm**. Dependencies:
+**OpenBLAS** (LAPACK/BLAS via native Fortran interfaces). Hand-rolled: Box-Muller RNG, SDE
+solvers, JSON I/O against fixed schemas. SDE solvers (Euler-Maruyama, Milstein), state-space
+estimation, and VAR impulse responses are dense matrix-heavy loops where Fortran's array
+intrinsics and zero-overhead numerics dominate; same language as M3d avoids a toolchain split
+across the heaviest numerical sims.
 
 ## 4. Does / does-not
 - **Does:** simulate token state dynamics via the SDE framework: