Sample Interpretation Walkthrough (v2.0.0)

This walkthrough demonstrates how the vST Micro‑Agent processes an unknown input stream using a vST Structural Query Envelope (vST‑SQL).
The goal is to illustrate the interpreter’s structural‑first approach: no semantics, no domain assumptions, and no inference about meaning.

The micro‑agent operates solely on repeatable, traceable, and transfer‑addressable structural features.

1. Inputs#

Signal Input#

A numeric stream of arbitrary origin:

{
  "signal_id": "walkthrough_signal_v1",
  "stream": [0.14, 0.10, 0.12, 0.47, 0.50, 0.48, 0.13, 0.11, 0.12],
  "metadata": {
    "sampling_rate_hz": 1000,
    "units": "arbitrary"
  }
}

Query Envelope#

A minimal vST‑SQL structural query:

{
  "query": {
    "select": ["pattern", "periodicity"],
    "where": {
      "min_repetition": 2,
      "min_similarity": 0.85
    }
  },
  "input_binding": {
    "signal_source": "walkthrough_signal_v1",
    "stream_key": "stream"
  }
}

2. Interpreter Pipeline#

Step 1 — Normalization#

The stream is normalized to a consistent internal representation.
No semantic meaning is applied.

Step 2 — Pattern Extraction#

The interpreter scans for repeating motifs using sliding‑window similarity.

A candidate pattern emerges:

[0.14, 0.10, 0.12]

It recurs with similarity values between 0.88–0.93, satisfying the min_similarity constraint.

Step 3 — Periodicity Detection#

Autocorrelation reveals a stable periodicity of 3 samples.

Step 4 — Constraint Filtering#

The pattern appears twice, satisfying min_repetition = 2.

Step 5 — Structural Consolidation#

The interpreter merges overlapping detections and produces a canonical structural description.

3. Output Summary#

• Detected pattern: [0.14, 0.10, 0.12]
• Repetitions: 2
• Similarity range: 0.88–0.93
• Periodicity: 3 samples
• Notes:
  • No semantic interpretation performed
  • No assumptions about origin or meaning
  • Structural invariants only

4. Purpose of This Walkthrough#

This example demonstrates:

• how vST‑SQL queries operate
• how the micro‑agent extracts structure from unknown signals
• how RTT principles guide the detection process
• how structural invariants can be identified without domain knowledge

It is intentionally minimal and substrate‑agnostic.