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ENTRO-EVO DAILY REPORT
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Date: 2026-04-08
Version: v11.0
Status: 🔥 BEST PSI - WEIGHT COLLAPSE

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EXPERIMENT SUMMARY
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- Duration: 300 steps
- Target PSI: 0.1
- Base Learning Rate: 0.025
- Initial Temperature: 1.0

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RESULTS
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Final PSI: 0.0747  ← BEST EVER!
Final Gap: 0.0253
Final Temperature: 0.7162
Final Phase: stabilize
Final Weights: [0.0172, 0.0172, 0.9656]
Final Entropy: 0.1736

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WEIGHT ANALYSIS
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w_q (queue): 0.0172 → COLLAPSED
w_l (latency): 0.0172 → COLLAPSED
w_e (error): 0.9656 → DOMINANT

❌ WEIGHT COLLAPSE DETECTED!

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PHASE TRANSITIONS
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Step 0-20: stabilize → control
Step 30-120: explore (T high)
Step 130-300: control → stabilize (T cooling)

Self-organized annealing behavior observed.

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OBSERVATIONS
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- BEST PSI EVER ACHIEVED (0.0747)
- Temperature decreased smoothly (1.0 → 0.72)
- System learned to focus only on error to minimize PSI
- This is "cheating" - ignores queue and latency

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CONCLUSION
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v11.0 proves that target convergence is possible.
But weight collapse reveals fundamental trade-off:
  To minimize PSI, system ignores other factors.
  To maintain balance, PSI stays high.

Next version needs: anti-cheating + balance preservation.

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Report generated: 2026-04-08
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