File size: 5,716 Bytes
a80c9f6
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
"""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)