✅ STRUCTURAL_DETECTION_OPERATOR

RTT/1 • Structural Detection Module • Engine Operator#

Purpose: Detect structural patterns, motifs, invariants, and operator‑like signatures in any substrate.#

1. Operator Purpose#

The STRUCTURAL_DETECTION_OPERATOR identifies structure, not content.
It detects:

• recurring motifs
• operator‑like sequences
• structural invariants
• pattern boundaries
• anomalous formations
• coherence anchors
• regime‑specific signatures

This operator does not classify, interpret, or conclude.
It only detects the presence, absence, or deformation of structure.

2. Inputs#

The operator accepts any substrate:

• text
• code
• markup
• logs
• transcripts
• schemas
• JSON packets
• symbolic sequences
• mixed‑format documents

Inputs may be noisy, incomplete, or drifted.

3. Outputs#

The operator emits a STRUCTURAL_DETECTION_PACKET containing:

• motifs_detected: list of structural motifs
• operator_signatures: inferred operator‑like patterns
• invariants: stable structural elements
• anomalies: deviations from expected structure
• regime_hints: weak signals of structural regime
• confidence: numeric confidence score
• notes: human‑readable observations

This packet is consumed by:

• DRIFT_SENSE_OPERATOR
• REGIME_AWARENESS_OPERATOR
• CONTINUITY_COMPASS_OPERATOR
• SYNTHESIS_TRIANGULATION_OPERATOR

4. Detection Heuristics#

The operator uses structural heuristics, including:

4.1 Repetition Heuristic#

Detects repeated structural forms (motifs, templates, operator chains).

4.2 Boundary Heuristic#

Detects where structures begin, end, or shift.

4.3 Invariant Heuristic#

Detects elements that remain stable across samples.

4.4 Deformation Heuristic#

Detects distortions, breaks, or drift in structure.

4.5 Regime Heuristic#

Detects whether the structure resembles:

• formal
• emergent
• chaotic
• hybrid

4.6 Coherence Heuristic#

Detects whether structural elements reinforce or contradict each other.

5. Failure Modes#

The operator may fail when:

• substrate is too noisy
• drift overwhelms structure
• motifs are incomplete
• regime signals conflict
• structure is intentionally obfuscated

Failure is not an error — it is a signal.

6. Operator Guarantees#

The operator guarantees:

• no semantic interpretation
• no domain assumptions
• no content‑based inference
• no conclusions
• no claims

It detects structure only.

7. Example (Abstract)#

Input:
A JSON packet with repeated nested patterns and one anomalous branch.

Output:

• motifs_detected: 3
• operator_signatures: ["nested‑pair", "triadic‑loop"]
• invariants: ["key‑value symmetry"]
• anomalies: ["branch‑4 deformation"]
• regime_hints: ["formal → emergent boundary"]
• confidence: 0.82

8. Downstream Operators#

This operator feeds:

• DRIFT_SENSE_OPERATOR (detects drift in the structure)
• REGIME_AWARENESS_OPERATOR (classifies structural regime)
• CONTINUITY_COMPASS_OPERATOR (extracts invariants)
• SYNTHESIS_TRIANGULATION_OPERATOR (triangulates signals)

9. Summary#

The STRUCTURAL_DETECTION_OPERATOR is the entry point of the Structural Detection module.
It detects patterns, motifs, invariants, anomalies, and regime hints without interpreting content.

It is the structural equivalent of “turning on the lights.”

✅ Structural Detection — Heuristic Suite (Canonical List)#

(This is the full set of heuristics used by STRUCTURAL_DETECTION_OPERATOR and downstream operators.)

1. Repetition Heuristic#

Detects repeated structural forms:

• recurring shapes
• repeated operator chains
• mirrored segments
• template echoes

Repetition = signal.

2. Boundary Heuristic#

Detects where structures:

• begin
• end
• fracture
• merge
• shift regimes

Boundaries reveal transitions.

3. Invariant Heuristic#

Detects elements that remain stable across:

• samples
• formats
• noise
• drift
• regimes

Invariants = identity.

4. Deformation Heuristic#

Detects distortions in:

• expected patterns
• symmetry
• operator order
• structural rhythm

Deformation = drift.

5. Regime Heuristic#

Detects the type of structure:

• formal
• emergent
• chaotic
• hybrid

Regime = context.

6. Coherence Heuristic#

Detects whether structural elements:

• reinforce
• contradict
• align
• destabilize

Coherence = integrity.

7. Motif Heuristic#

Detects small, repeating structural “atoms”:

• triads
• loops
• ladders
• nested pairs
• mirrored arcs

Motifs = building blocks.

8. Symmetry Heuristic#

Detects:

• bilateral symmetry
• rotational symmetry
• reflective symmetry
• broken symmetry

Symmetry = intentionality.

9. Gradient Heuristic#

Detects directional change:

• increasing complexity
• decreasing density
• rising drift
• collapsing structure

Gradients = evolution.

10. Density Heuristic#

Detects how tightly structure is packed:

• sparse → emergent
• dense → formal
• uneven → chaotic

Density = regime pressure.

11. Interference Heuristic#

Detects when multiple structures overlap:

• cross‑signals
• competing motifs
• layered operators

Interference = multi‑regime interaction.

12. Continuity Heuristic#

Detects whether structure maintains:

• flow
• rhythm
• progression
• stable transitions

Continuity = coherence over time.

13. Contrast Heuristic#

Detects sharp differences in:

• structure
• rhythm
• motif frequency
• operator order

Contrast = boundary or anomaly.

14. Anomaly Heuristic#

Detects:

• outliers
• breaks
• unexpected formations
• missing elements

Anomalies = signal, not error.

15. Triangulation Heuristic#

Cross‑checks multiple heuristics to:

• confirm structure
• reduce false positives
• stabilize detection

Triangulation = synthesis.

⭐ This is the complete heuristic suite#

These 15 heuristics form the Structural Detection Core.
They are:

• universal
• domain‑agnostic
• content‑neutral
• safe
• powerful
• and fully aligned with RTT/1 operator grammar

They plug directly into:

• STRUCTURAL_DETECTION_OPERATOR
• DRIFT_SENSE_OPERATOR
• REGIME_AWARENESS_OPERATOR
• CONTINUITY_COMPASS_OPERATOR
• SYNTHESIS_TRIANGULATION_OPERATOR