πŸ§ πŸ“‘ Telepathic Signal Discriminator

Student-Teacher framework grounded in CCT / ODE-CCT: extract the field from the trajectory via Reverse Modal Training.

Theory: A REAL telepathic signal is two mental states coupled through a shared intention-field β€” both nodes flow toward the same attractor. A FAKE signal is spurious correlation β€” independently generated distributions that merely look coupled. The Student must collapse the field-space into a single decision: do these trajectories come from one law, or from coincidentally similar noise?

🟒 Signal S₁ (Teacher β€” generated by shared field)

Awaiting prediction…
Claimed label: REAL. Student says: β€” Β· Confidence: β€”
TDI (= |Ο€_Aβˆ’Ο€_B| + |e_Aβˆ’e_B|): β€” low ⟹ field-coupled
Lag KL (T-N β†’ T): β€” low ⟹ predictable field
Ο€ Cross-Corr (A,B): β€” high ⟹ shared law
Peak Coherence: β€” argmax(A)==argmax(B)?
Top-3 (node A): β€”

πŸ”΄ Signal Sβ‚‚ (Forger β€” independent noise generators)

Awaiting prediction…
Claimed label: FAKE. Student says: β€” Β· Confidence: β€”
TDI: β€” high ⟹ uncoupled
Lag KL: β€” high ⟹ chaotic / random
Ο€ Cross-Corr: β€” low ⟹ independent
Peak Coherence: β€” argmax(A)β‰ argmax(B)?
Top-3 (node A): β€”

πŸŽ“ Student State (modal collapse in progress)

Iterations: 0
Rolling Accuracy (last 50): β€”
Mean Loss: β€”
Decision Margin: β€”
Status: Initializing…

🧬 Feature Weights

Weights update via gradient: w ← w + Ξ· Β· (y βˆ’ p) Β· p Β· (1βˆ’p) Β· f
Each feature encodes a modal signature of the underlying field.

πŸ“Š Decision Formula

Score > 0 ⟹ REAL. The student has collapsed the field-space into a 4-dimensional hyperplane; the sign of each weight is the direction the student believes the general true solution lies.

πŸ“‰ Loss Curve

πŸ“ˆ Accuracy Curve

🎯 Confusion Matrix (rolling 200 trials)

Pred: REALPred: FAKE
True: REAL00
True: FAKE00
Precision (REAL): β€”
Recall (REAL): β€”
F1 Score: β€”
Accuracy: β€”

🌊 Field Coherence Comparison

━ Teacher Ο€ checksum (coherent field) Β· ━ Teacher-B Ο€ checksum (should track tightly).
━ Forger Ο€ checksum (chaotic) Β· ━ Forger-B (independent drift).
If the two lines in a pair track together β†’ shared law. If they wander apart β†’ coincidence.