Project DOI
10.17605/OSF.IO/G62PZ
https://doi.org/10.17605/OSF.IO/G62PZ

Variables du modèle ORI-C

Variable Description
O(t) Organisation — Structure interne du système
R(t) Résilience — Capacité d'absorption des perturbations
I(t) Intégration · Cohérence des composants du système
V(t) Viabilité — Agrégation sur [t-Δ, t], fixée ex ante
Cap(O,R,I) Capacité — Forme fixée ex ante
Σ(t) Mismatch — max(0, D(E(t)) - Cap(t))
S(t) Stock symbolique — Proxies de transmission
C(t) Variable d'ordre — Gain intergénérationnel
S₀* Seuil critique — Estimé à 0.41 (T7)

Structure du dépôt

01_Theory/
Fondements théoriques, glossaire, rationale du seuil
02_Protocol/
Protocoles de décision, templates pre-registration
03_Data/
Données synthétiques et réelles (Eurostat, FRED)
04_Code/
Pipeline Python, tests, configurations
05_Results/
Résultats des tests canoniques T1-T8
06_Manuscript/
Article et appendices méthodologiques

v1.3 — Reference lot 22831351459

Nightly #80 — March 8, 2026 — Commit ee3acdf — Branch main — Duration: 20m 55s

Framework status final_pass = true dual_proof_complete

The ORI-C framework reaches full closure. Convergent dual proof, validation protocol ACCEPT, contractual and methodological coherence verified.

🔒
Complete Dual Proof
Convergence of two independent proof branches (synthetic n=60 + real FRED) with validation protocol ACCEPT. The final gate concludes final_pass = true.
🎯
Validation Protocol — lock lifted
test_det_rate = 1.0, stable_det_rate = 0.0, placebo_det_rate = 0.0. The last two weaknesses (stable decidability, placebo false positives) are resolved.
📊
Output coherence
summary.json aligned with verdict.json across all sector pilots. Previous contradiction eliminated. 8 SHA-256 signed artifacts produced and verified.
🧪
8 CI jobs — 8/8 success
Synthetic (n=60), FRED canonical, CPI (FR), Energy (EU27), Meteo (EE), Traffic (DE), Validation Protocol, Dual Proof — all successful on the reference lot.

Canonical tests T1-T8

Synthetic suite — full_statistical (n=60) — Lot 22831351459 — March 8, 2026

T1 — Core
Demand shock
Test of the basic causal mechanism under demand shock.
C_mean_post: 15.04 p-value: 8.9e-51
✓ ACCEPT
T2 — Detection
Threshold demo
Threshold detection demonstration on synthetic data.
Threshold detected: 0.136
✓ ACCEPT
T3 — Robustness
Multi-parameter
Robustness tests on k, m, baseline variations.
Detection: 100%
✓ ACCEPT
T4 — Symbolic
S rich vs poor
Comparison of rich vs poor S effect on C.
mean_diff: 42.66 p-value: 0.0
✓ ACCEPT
T5 — Symbolic
Injection effect
Test of symbolic injection effect on C.
mean_diff: 10.74 p-value: 2.6e-301
✓ ACCEPT
T6 — Symbolic
Symbolic cut
Test of symbolic channel cut — C must drop.
C_mean_post: -13.50 p-value: 6.7e-10
✓ ACCEPT
T7 — Threshold
Progressive sweep S₀*
Critical threshold S₀* estimation via bootstrap (B=500).
Estimated S₀*: 0.41
✓ ACCEPT
T8 — Reinjection
Recovery test
Symbolic cut then reinjection → C recovery.
Status: Secondary confirmatory
✓ ACCEPT
Synthetic global verdict 8/8 ACCEPT full_statistical_support

Run mode: full_statistical (n=60 runs per condition). All 4 statistical criteria (p_ok, ci_ok, sesoi_ok, power_ok) satisfied on every test.

QCC Brisbane StateProb

Pipeline validated on IBM Brisbane quantum simulator — ISING Algorithm

QUANTUM VALIDATED Run: 2026-03-03

The ORI-C dynamics — cumulative threshold, regime transition, metastable stability — are observable at the subatomic scale on out-of-equilibrium quantum systems.

First unified framework validated from cosmos to qubits.

Configuration
Brisbane Simulator ISING
Shots: 8192 Instances: 225 Depths: 15
✓ HIGH EVIDENCE
Threshold T*
Threshold Crossing
Minimum depth where CCL exceeds 0.7 threshold
T*: depth = 16 CCL@T*: 0.424
✓ STABLE
Bootstrap
Statistical consistency
500 bootstrap replications
Found rate: 100% T* std: 0.0
✓ ROBUST
CCL Profile
Cumulative capacity
Monotonic growth of integration capacity
CCL@8: 0.216 CCL@640: 0.993
✓ MONOTONIC
QCC Verdict Evidence Strength: HIGH power_criteria_satisfied

The ORI-C signature is detectable on quantum systems with the same robustness as on macroscopic data.

Real data suite

run_real_data_canonical_suite.py — Sources: FRED Monthly, Eurostat — Lot 22831351459

FRED Monthly
CPI, INDPRO, M2SL, TCU, T10YFF, DCOILWTICO
1995-2023
Eurostat
BE, DE, EE, FR, EU27
Energy, employment, wages

Applied causal tests: Granger, VAR, cointegration, bootstrap CI on observed time series.

Real data verdict: real_data_canonical_support — ACCEPT on reference lot 22831351459.

Validation Protocol ACCEPT protocol_verdict

test_det_rate = 1.0 · stable_det_rate = 0.0 · placebo_det_rate = 0.0 — Perfect separation of all three classes (test, stable, placebo).

Exécuter le pipeline

# Cloner le dépôt
git clone https://github.com/dalozedidier-dot/CumulativeSymbolicThreshold.git
cd CumulativeSymbolicThreshold

# Installation conda (recommandé)
conda env create -f environment.yml
conda activate cumulative_symbolic

# Ou pip
pip install -r 04_Code/requirements.txt
# Démo synthétique (transition)
python 04_Code/pipeline/run_synthetic_demo.py \
  --input 03_Data/synthetic/synthetic_with_transition.csv \
  --outdir 05_Results/demo_transition

# Démo ORI-C complet
python 04_Code/pipeline/run_ori_c_demo.py --outdir 05_Results/ori_c_demo
python 04_Code/pipeline/tests_causaux.py --outdir 05_Results/ori_c_demo

# Données réelles (pilote CPI)
python 04_Code/pipeline/run_real_data_demo.py \
  --input 03_Data/real/pilot_cpi/real.csv \
  --outdir 05_Results/real/pilot_cpi/run_0001 \
  --col-time date --auto-scale --control-mode no_symbolic

Citer ce travail

@software{daloze_2026_oric,
  author       = {Daloze, Didier},
  title        = {Cumulative Symbolic Threshold},
  year         = 2026,
  publisher    = {OSF},
  doi          = {10.17605/OSF.IO/G62PZ},
  url          = {https://osf.io/g62pz/}
}