spacetime_micro_agent_validations

Spacetime Micro‑Agent Validations

This directory contains the reference implementation and validation assets for the vST Micro‑Agent, a minimal structural interpreter designed to wrap arbitrary queries in a vST‑aligned substrate envelope.

The micro‑agent asks 12 orthogonal structural questions to extract regime, scale, transitions, invariants, boundaries, and modifiers. It outputs a lightweight "query envelope" that can be consumed by downstream AIs or APIs to improve consistency, interpretability, and structural alignment.

Contents:

schema/ — JSON schema defining the micro‑agent envelope format.
interpreter/ — logic and pseudocode for the 12‑question interpreter.
examples/ — sample envelopes and walkthroughs.
metadata/ — DOI‑ready metadata for Zenodo publication.

This module is intentionally small, fast, and substrate‑agnostic.

📐 Minimal Structural Detection — Conceptual Diagram#

Below is a high‑level diagram showing how the vST Micro‑Agent processes an unknown signal using a minimal structural query envelope.

                                 📐
                ┌───────────────────────────────┐
                │   Unknown Input Stream        │
                │  (example_signal_input.json)  │
                └────────────────┬──────────────┘
                                 │
                                 ▼
                ┌───────────────────────────────┐
                │  vST Structural Query Layer   │
                │ (example_query_envelope.json) │
                └────────────────┬──────────────┘
                                 │ binds
                                 ▼
                ┌───────────────────────────────┐
                │   vST Micro‑Agent Interpreter │
                │   • pattern extraction        │
                │   • periodicity detection     │
                │   • local symmetry scan       │
                └────────────────┬──────────────┘
                                 │
                                 ▼
                ┌────────────────────────────────────┐
                │  Structural Interpretation         │
                │ (example_interpretation_output.md) │
                └────────────────────────────────────┘

What this diagram conveys:

The micro‑agent never assumes semantics.
It operates purely on structure, not meaning.
The query envelope defines what to look for.
The interpreter extracts repeatable, traceable, transfer‑addressable patterns.
The output is a structural description, not a claim about the domain. # v2.0.0 Release Notes — vST Micro‑Agent: Spacetime Structural Query Wrapper

Overview#

Version 2.0.0 expands the vST Micro‑Agent with a new structural‑detection example and updated documentation.
This release strengthens the artifact’s role as a substrate‑agnostic query wrapper for unknown or heterogeneous signals, including those originating from distributed sensor networks, communication channels, or archival datasets.

The core logic of the micro‑agent remains unchanged.
This update adds clarity, examples, and improved onboarding for researchers evaluating structural patterns in unfamiliar data streams.

What’s New in v2.0.0#

1. New Example: Minimal vST Structural Query Language Detection#

A new example demonstrates how the micro‑agent can detect structural regularities in arbitrary input streams using the vST Structural Query Language (vST‑SQL).

This example shows:

how to wrap an unknown signal into a structural query envelope
how the interpreter identifies repeatable, traceable, and transfer‑addressable patterns
how structural detection differs from raw signal analysis
how to apply the micro‑agent to any high‑dimensional or unfamiliar data source

This example is intentionally minimal and substrate‑agnostic.
It does not make claims about any specific dataset or domain.
It simply demonstrates the method.

2. Updated Documentation#

The following files have been added or expanded:

README.md — clearer overview of the micro‑agent’s purpose and usage
New example folder for structural detection
Interpreter notes updated to reflect the new example
Schema documentation clarified for v2.0.0

These updates improve onboarding for researchers exploring structural analysis across domains.

3. Metadata Improvements#

The Zenodo metadata (zenodo.json) has been updated to:

reflect the new version
include keywords related to structural detection, substrate‑agnostic analysis, and signal‑agnostic query wrappers
clarify the scientific scope of the artifact

Why This Matters#

The vST Micro‑Agent is designed for unknown‑signal environments:

distributed sensor networks
communication channels with unfamiliar structure
archival datasets lacking semantic annotation
exploratory analysis of complex or noisy streams

This release provides a clear, minimal demonstration of how structural queries can reveal patterns that are not visible at the raw signal level.

It does not assert the presence of structure in any specific dataset.
It simply provides the tools and examples needed for researchers to explore structure where appropriate.

Folder Structure for v2.0.0#

Here is the recommended structure including the new example:

📐

README.md

examples/
  sample_interpretation_walkthrough.md
  sample_query_envelope.json
  structural_detection_minimal/
    example_signal_input.json
    example_query_envelope.json
    example_interpretation_output.md

interpreter/
  interpreter_logic.md
  interpreter_pseudocode.txt

schema/
  vST_micro_agent.schema.json

metadata/
  zenodo.json

This keeps the new structural‑detection example cleanly separated and easy to reference. # 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. # 📄 Minimal Structural Detection — Interpretation Output

Query: vst_sql_minimal_detection_v1
Signal: synthetic_minimal_v1

1. Overview#

The vST Micro‑Agent processed the input stream using the minimal structural query envelope.
The agent identified a repeatable structural motif that satisfies the RTT‑aligned criteria for:

Repeatability (appears more than once)
Traceability (clear mapping to positions in the stream)
Transfer‑addressability (pattern can be represented independently of the raw signal)

No semantic interpretation is performed.
Only structural regularities are reported.

2. Detected Pattern#

Pattern length: 6
Pattern structure:
Low–low–low → high–high–high

Approximate numeric form:

[0.12, 0.09, 0.11, 0.48, 0.51, 0.49]

Repetitions detected: 3
Similarity across repetitions: 0.91–0.96

3. Periodicity#

The micro‑agent detected a stable periodicity of 6 samples.

This means the structural motif recurs at regular intervals, independent of amplitude drift or noise.

4. Local Symmetry#

The pattern exhibits a simple form of local symmetry:

first half: low cluster
second half: high cluster

This symmetry is structural, not semantic.

5. Notes#

No domain assumptions were made.
No semantic meaning is inferred.
This example demonstrates how the micro‑agent identifies structure in an unknown signal using minimal vST‑SQL.
The same method can be applied to any high‑dimensional or unfamiliar dataset.

Your new folder now looks like this:#

examples/
  structural_detection_minimal/
    example_signal_input.json
    example_query_envelope.json
    example_interpretation_output.md

This is a clean, professional, substrate‑agnostic demonstration that will make v2.0.0 shine. # vST Micro-Agent: 12-Question Interpreter Logic

The micro-agent extracts a structural fingerprint by asking the following:

What regime is this operating in?
What scale is relevant?
What transition type is occurring?
What boundary condition defines the system?
What invariants must remain true?
What modifiers influence the system?
What substrate is involved?
What is the intended outcome or function?
What lineage or dependency chain exists?
What is the failure mode or tension?
What is the time-regime?
What symmetry or asymmetry is present?

The interpreter maps each answer into the query envelope schema.

vST Micro‑Agent — Interpreter Logic (v2.0.0)#

The vST Micro‑Agent is a substrate‑agnostic interpreter that evaluates structural queries against unknown or heterogeneous input streams.
It does not assume semantics, domain context, or meaning.
It operates solely on structure, following RTT‑aligned principles:

Repeatability — patterns must recur
Traceability — patterns must map to identifiable positions
Transfer‑addressability — patterns must be representable independently of the raw signal

This document describes the logic used by the interpreter to process a vST Structural Query Envelope (vST‑SQL) and produce a structural interpretation.

1. Inputs#

The interpreter consumes two objects:

Signal Input
- Arbitrary numeric or symbolic stream
- No assumptions about origin or semantics
- May include metadata (sampling rate, units, etc.)
vST Structural Query Envelope (vST‑SQL)
- Defines what structural features to extract
- Common fields:
  - select: requested structural operators
  - where: constraints (min repetition, similarity, etc.)
  - input_binding: mapping to the signal source

2. Core Interpreter Pipeline#

The interpreter executes the following stages:

Stage 1 — Normalization#

Converts the input stream into a uniform internal representation.
Handles numeric, symbolic, or mixed sequences.
Applies optional smoothing or windowing if specified.

Stage 2 — Structural Feature Scan#

Based on the select fields, the interpreter activates one or more structural operators:

Pattern extraction
Identifies candidate motifs using sliding‑window similarity.
Periodicity detection
Computes autocorrelation and local recurrence intervals.
Local symmetry detection
Evaluates mirror‑like or cluster‑like structure.
Transition topology
(Optional) Extracts adjacency or transition graphs.

Stage 3 — Constraint Filtering#

Applies where conditions:

minimum repetitions
minimum similarity
minimum stability
maximum drift

Only structures satisfying all constraints are retained.

Stage 4 — Structural Consolidation#

Merges overlapping motifs and resolves redundant detections.

Produces:

canonical pattern form
recurrence positions
similarity ranges
periodicity estimates
symmetry descriptors

Stage 5 — Interpretation Output#

The interpreter produces a substrate‑agnostic structural description:

No semantics
No domain claims
No inference about meaning or origin

Only structure is reported.

3. Output Format#

The interpreter returns:

detected patterns
periodicity
symmetry
recurrence indices
similarity metrics
notes on structural stability

This output is suitable for:

unknown‑signal environments
distributed sensor networks
archival data exploration
structural analysis research

4. Design Philosophy#

The micro‑agent is intentionally minimal:

no domain assumptions
no semantic inference
no classification
no prediction

It is a structural wrapper, not a semantic model.

This ensures the tool remains broadly applicable across any domain where unknown or heterogeneous signals require structural analysis.