key-data / models /tests /cascade_deep_dive.py
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"""CASCADE-LATTICE Deep Dive Summary"""
from cascade import store, genesis, Hold, HoldPoint, CausationGraph, Receipt
print("=" * 70)
print("CASCADE-LATTICE v0.6.0 - DEEP DIVE SUMMARY")
print("=" * 70)
print("""
CORE PHILOSOPHY:
"Universal AI provenance layer โ€” cryptographic receipts for every call,
HOLD inference halt protocol, and code diagnostics"
BY: Jeff Towers
ARCHITECTURE:
โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”
โ”‚ CASCADE-LATTICE โ”‚
โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
โ”‚ โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ” โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ” โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ” โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ” โ”‚
โ”‚ โ”‚ HOLD โ”‚ โ”‚ CAUSATION โ”‚ โ”‚ METRICS โ”‚ โ”‚ FORENSICS โ”‚ โ”‚
โ”‚ โ”‚ System โ”‚ โ”‚ Graph โ”‚ โ”‚ Engine โ”‚ โ”‚ + GhostLog โ”‚ โ”‚
โ”‚ โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜ โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜ โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜ โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜ โ”‚
โ”‚ โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ” โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ” โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ” โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ” โ”‚
โ”‚ โ”‚ STORE โ”‚ โ”‚ GENESIS โ”‚ โ”‚ IDENTITY โ”‚ โ”‚ DIAGNOSTICS โ”‚ โ”‚
โ”‚ โ”‚ (SQLite+CID)โ”‚ โ”‚ (Provenance)โ”‚ โ”‚(Fingerprint)โ”‚ โ”‚ (BugDetect) โ”‚ โ”‚
โ”‚ โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜ โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜ โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜ โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜ โ”‚
โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜
โ†“ Sync
โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”
โ”‚ HuggingFace Hub โ”‚
โ”‚ tostido/cascade-obs โ”‚
โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜
""")
s = store.stats()
print("LOCAL LATTICE STATS:")
print(f" Genesis Root: {s['genesis_root']}")
print(f" Total Observations: {s['total_observations']:,}")
print(f" Lattice Dir: {s['lattice_dir']}")
print()
print("MODELS TRACKED:")
for model, count in s['models'].items():
print(f" {model}: {count:,} observations")
print()
print("=" * 70)
print("KEY COMPONENTS")
print("=" * 70)
print("""
1. HOLD SYSTEM - Inference-level halt protocol
โ”œโ”€โ”€ Hold.yield_point() - Brain pauses, yields decision
โ”œโ”€โ”€ HoldPoint - Freeze-frame with merkle chain
โ”œโ”€โ”€ Hold.resolve() - External resolution (human/Ghost)
โ””โ”€โ”€ HoldResolution - Final action + override info
2. HOLDPOINT FIELDS (the decision snapshot):
โ”œโ”€โ”€ action_probs - Probability distribution
โ”œโ”€โ”€ value - Predicted value
โ”œโ”€โ”€ observation - What brain saw
โ”œโ”€โ”€ imagination - Dict[int, Dict] future trajectories
โ”œโ”€โ”€ attention - Where brain focused
โ”œโ”€โ”€ reasoning - Optional reasoning chain
โ”œโ”€โ”€ merkle_root - Cryptographic hash
โ””โ”€โ”€ parent_merkle - Link to previous decision
3. CAUSATION GRAPH - Bidirectional event tracing
โ”œโ”€โ”€ add_event(Event) - Record event
โ”œโ”€โ”€ get_causes(id) - What caused this?
โ”œโ”€โ”€ get_effects(id) - What did this cause?
โ””โ”€โ”€ Tracer.trace_backwards/forwards
4. STORE - SQLite + Content-Addressable (CID)
โ”œโ”€โ”€ observe(model_id, data) - Record observation
โ”œโ”€โ”€ query(model_id, since) - Query observations
โ”œโ”€โ”€ Receipt - CID + merkle + parent chain
โ””โ”€โ”€ sync_all() - Push to HuggingFace
5. GENESIS - Provenance root
โ”œโ”€โ”€ create_genesis() - Start new chain
โ”œโ”€โ”€ get_genesis_root() - Get chain root hash
โ””โ”€โ”€ verify_lineage_to_genesis() - Verify full chain
6. IDENTITY - Model fingerprinting
โ”œโ”€โ”€ ModelIdentity - Base model + variant + fingerprint
โ”œโ”€โ”€ BehavioralFingerprint - Probe responses hash
โ””โ”€โ”€ detect_format/quantization
7. FORENSICS - Post-hoc analysis
โ”œโ”€โ”€ GhostLog - Operation narrative
โ”œโ”€โ”€ DataForensics - Artifact detection
โ””โ”€โ”€ TechFingerprinter - Technology identification
8. DIAGNOSTICS - Code analysis
โ”œโ”€โ”€ BugDetector - Pattern-based bug scanning
โ”œโ”€โ”€ CodeTracer - Execution tracing
โ””โ”€โ”€ DiagnosticEngine - Full diagnostic report
""")
print("=" * 70)
print("HUGGINGFACE INTEGRATION")
print("=" * 70)
print("""
Your dataset: tostido/cascade-observations
- 556 downloads
- Created: 2026-01-07
- Last modified: 2026-01-17
Commands:
cascade.pull_from_hf('tostido/cascade-observations') # Pull
cascade.sync_all() # Push
""")
print("=" * 70)