Implement XIC v1.5 glyph resonance awareness upgrade (Phase 3-4)
This commit completes the comprehensive glyph resonance awareness upgrade
with queryable resonance metrics, new instruction, and formal specification.
## Changes
### Phase 3: New GET_GLYPH_RESONANCE Instruction
- Added op_GET_GLYPH_RESONANCE to xic_ops.py for querying glyph resonance data
- Supports metrics: report, global, dominant, weight, lineage, contributor, frequency, grammar
- Results printed with [XIC-RESONANCE] prefix and stored in ctx._state
- Handles both full pipeline result (preferred) and fallback to resonance_metrics dict
- Updated OP_TABLE to include 10th operation
### Phase 4: Formal Specification & Demo
#### XIC_SEMANTICS_v1_5.md Updates
- Added comprehensive "Glyph Resonance Structure" section documenting:
- FusedSymbol dataclass with summary, glyph_ids, resonance_map
- GlyphResonanceMap with resonances dict and utility methods
- GlyphResonanceMetrics (weight, lineage_score, contributor_score, frequency_score, grammar_score)
- Example JSON structure from LAIN cognition
- Added "GET_GLYPH_RESONANCE" instruction semantics with:
- Signature and preconditions/postconditions
- Metric table describing all query types
- Detailed side effects and remarks
- Data access patterns
#### New Demo Program
- Created programs/demo_glyph_resonance.gx.json
- Two-chain demonstration:
- Chain 1: compression_theory glyph with report, global, dominant, weight queries
- Chain 2: neural_dynamics glyph with individual metric queries (lineage, contributor, frequency, grammar)
- Full instrumentation with CHAIN markers and LOG statements
#### Comprehensive Report
- Created XIC_GLYPH_RESONANCE_REPORT.md documenting:
- Executive summary of resonance awareness upgrade
- Detailed explanation of all components
- Architecture and data flow diagrams
- All 10 validation test results
- Usage examples and design decisions
- Backward compatibility guarantees
- Future extensibility notes
## Implementation Details
### Enhanced Data Structures (glyphos/symbolic_pipeline.py)
- GlyphResonanceMetrics: 5-dimensional resonance scoring
- GlyphResonanceMap: with get_glyph_resonance(), get_top_glyphs(), get_average_resonance()
- FusedSymbol.from_lain_result(): parses LAIN output structure
### Glyph Resonance Utilities
- extract_glyph_resonances(): extract per-glyph metrics from pipeline result
- get_dominant_glyphs(n): rank glyphs by weight
- format_glyph_resonance_report(): human-readable resonance output
### Enhanced CALL_GLYPH
- Now stores comprehensive resonance data in ctx._state["glyph_{glyph_id}"]
- Captures output_text, fused_symbol, resonance_metrics, global_resonance_score, steps
- Also stores full SymbolicPipelineResult for direct access
### New op_GET_GLYPH_RESONANCE
- Query stored resonance metrics with flexible metric selection
- Integrates with symbolic_pipeline utilities for full introspection
- Prints results and stores in ctx._state for programmatic access
## Exports (glyphos/__init__.py)
- GlyphResonanceMetrics
- GlyphResonanceMap
- extract_glyph_resonances
- get_dominant_glyphs
- format_glyph_resonance_report
## Testing
All 10 validation tests pass:
✅ GlyphResonanceMetrics instantiation
✅ GlyphResonanceMap methods (get_glyph_resonance, get_top_glyphs, get_average_resonance)
✅ FusedSymbol.from_lain_result() parsing
✅ extract_glyph_resonances() functionality
✅ get_dominant_glyphs() ranking
✅ format_glyph_resonance_report() generation
✅ OP_TABLE has GET_GLYPH_RESONANCE
✅ op_GET_GLYPH_RESONANCE callable
✅ demo_glyph_resonance.gx.json valid
✅ All exports available from glyphos
## Backward Compatibility
- Zero breaking changes
- All XIC v1 and v1.5 programs work unchanged
- New resonance features are additive
- Existing instruction signatures preserved
- Compressed mode execution unaffected
Co-Authored-By: Claude Haiku 4.5 <noreply@anthropic.com>
This commit is contained in:
GlyphRunner System
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# XIC v1.5 Glyph Resonance Awareness Upgrade Report
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**Date**: 2026-05-21
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**Status**: ✅ Complete and validated
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**Scope**: Enhanced glyph resonance tracking with comprehensive metric extraction and querying
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---
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## Executive Summary
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Extended XIC v1.5 with comprehensive glyph resonance awareness:
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1. **Enhanced Data Structures** (`glyphos/symbolic_pipeline.py`)
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- New `GlyphResonanceMetrics` dataclass: weight, lineage_score, contributor_score, frequency_score, grammar_score
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- Enhanced `GlyphResonanceMap` with utility methods for querying and aggregation
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- Updated `FusedSymbol` with full resonance metric support
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2. **Glyph Resonance Utilities**
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- `extract_glyph_resonances(pipeline_result)` → extract per-glyph metrics
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- `get_dominant_glyphs(pipeline_result, n=3)` → rank glyphs by weight
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- `format_glyph_resonance_report(pipeline_result)` → human-readable reports
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3. **Enhanced CALL_GLYPH Operation** (`xic_ops.py`)
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- Now extracts and stores comprehensive resonance data
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- Captures full SymbolicPipelineResult for direct access
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- Stores resonance_metrics dict, global_resonance_score, and execution steps
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4. **New GET_GLYPH_RESONANCE Instruction** (`xic_ops.py`)
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- Query stored glyph resonance metrics with flexible metric selection
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- Supports: report, global, dominant, weight, lineage, contributor, frequency, grammar
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- Results stored for programmatic access
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5. **Demo Program** (`programs/demo_glyph_resonance.gx.json`)
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- Two-chain analysis demonstrating resonance metric queries
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- Covers all metric types: report, global, dominant, specific metrics
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6. **Updated Formal Specification** (`XIC_SEMANTICS_v1_5.md`)
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- Added FusedSymbol structure documentation with example JSON
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- Documented GlyphResonanceMetrics and GlyphResonanceMap
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- Added GET_GLYPH_RESONANCE instruction semantics
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- Clarified glyph resonance data access patterns
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**Zero breaking changes**. All XIC v1 and v1.5 programs continue to work unchanged.
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---
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## Phase 1: Enhanced Data Structures
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### File: `glyphos/symbolic_pipeline.py`
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#### New Dataclasses
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**GlyphResonanceMetrics**
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```python
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@dataclass
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class GlyphResonanceMetrics:
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weight: float # Relative importance [0.0, 1.0]
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lineage_score: float # Symbolic ancestry [0.0, 1.0]
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contributor_score: float # Contribution to fusion [0.0, 1.0]
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frequency_score: float # Occurrence frequency [0.0, 1.0]
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grammar_score: float # Structural alignment [0.0, 1.0]
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```
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**GlyphResonanceMap** (Enhanced)
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```python
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@dataclass
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class GlyphResonanceMap:
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resonances: Dict[str, GlyphResonanceMetrics]
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global_resonance_score: float
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# New methods:
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def get_glyph_resonance(self, glyph_id: str) → Optional[GlyphResonanceMetrics]
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def get_top_glyphs(self, n: int = 5) → List[tuple[str, GlyphResonanceMetrics]]
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def get_average_resonance(self) → float
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```
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**FusedSymbol** (Updated)
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```python
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@dataclass
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class FusedSymbol:
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summary: str
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glyph_ids: List[str]
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resonance_map: GlyphResonanceMap = field(default_factory=GlyphResonanceMap)
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@classmethod
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def from_lain_result(cls, lain_fused_symbol: Dict[str, Any]) → "FusedSymbol"
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```
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#### Parsing LAIN Output
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`FusedSymbol.from_lain_result()` parses LAIN cognition output:
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```python
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lain_result = {
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"summary": "...",
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"glyph_ids": [...],
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"global_resonance_score": 0.847,
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"resonance_map": {
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"glyph_id": {
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"weight": 0.95,
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"lineage_score": 0.82,
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...
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}
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}
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}
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fused_symbol = FusedSymbol.from_lain_result(lain_result)
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```
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---
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## Phase 2: Glyph Resonance Utilities
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### File: `glyphos/symbolic_pipeline.py`
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#### extract_glyph_resonances()
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```python
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def extract_glyph_resonances(
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pipeline_result: "SymbolicPipelineResult",
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) → Dict[str, Dict[str, Any]]
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```
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**Behavior**: Extracts per-glyph metrics from pipeline result.
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**Returns**:
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```python
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{
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"glyph_id": {
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"weight": 0.95,
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"lineage_score": 0.82,
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"contributor_score": 0.89,
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"frequency_score": 0.76,
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"grammar_score": 0.88
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},
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...
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}
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```
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#### get_dominant_glyphs()
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```python
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def get_dominant_glyphs(
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pipeline_result: "SymbolicPipelineResult",
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n: int = 3,
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) → List[tuple[str, float]]
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```
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**Behavior**: Returns top N glyphs ranked by weight.
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**Returns**: `[("glyph://compression_theory", 0.95), ("glyph://entropy", 0.73), ...]`
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#### format_glyph_resonance_report()
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```python
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def format_glyph_resonance_report(
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pipeline_result: "SymbolicPipelineResult",
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) → str
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```
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**Behavior**: Generates human-readable resonance report.
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**Output**:
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```
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Global Resonance Score: 0.847
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Glyphs Engaged: 3
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Top Glyphs by Weight:
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glyph://compression_theory: weight=0.950, lineage=0.820, contributor=0.890
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glyph://entropy: weight=0.730, lineage=0.680, contributor=0.710
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...
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```
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---
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## Phase 3: Enhanced CALL_GLYPH Operation
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### File: `xic_ops.py`
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#### op_CALL_GLYPH Update
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```python
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def op_CALL_GLYPH(ctx: XICContext, *args):
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glyph_id = str(args[0])
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payload = str(args[1]) if len(args) > 1 else ""
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# Route through symbolic pipeline
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pipeline_result = run_symbolic_pipeline(...)
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# Extract resonance metrics
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resonance_metrics = extract_glyph_resonances(pipeline_result)
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global_resonance = pipeline_result.fused_symbol.resonance_map.global_resonance_score
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# Store comprehensive result
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ctx._state[f"glyph_{glyph_id}"] = {
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"output_text": pipeline_result.output_text,
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"fused_symbol": {
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"summary": pipeline_result.fused_symbol.summary,
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"glyph_ids": pipeline_result.fused_symbol.glyph_ids,
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} if pipeline_result.fused_symbol else None,
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"resonance_metrics": resonance_metrics,
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"global_resonance_score": global_resonance,
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"steps": [step metadata...],
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}
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# Also store full pipeline result for direct access
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ctx._state[f"glyph_{glyph_id}_pipeline_result"] = pipeline_result
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```
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**Stored Result Structure**:
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```python
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ctx._state[f"glyph_{glyph_id}"] = {
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"output_text": str,
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"fused_symbol": {
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"summary": str,
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"glyph_ids": List[str]
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} | None,
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"resonance_metrics": Dict[str, Dict[str, float]],
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"global_resonance_score": float,
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"steps": List[Dict],
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}
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```
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---
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## Phase 4: New GET_GLYPH_RESONANCE Instruction
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### File: `xic_ops.py`
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#### Instruction Signature
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```json
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{ "op": "GET_GLYPH_RESONANCE", "args": ["<glyph_id>", "<metric>"] }
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```
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#### Metrics
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| Metric | Output | Use Case |
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|--------|--------|----------|
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| `<none>` / `"report"` | Formatted report | Overview of all resonance data |
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| `"global"` | Single float | Overall fusion quality |
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| `"dominant"` | Top 5 glyphs | Most important engaged glyphs |
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| `"weight"` | Float for glyph_id | Relative importance |
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| `"lineage"` | Float for glyph_id | Symbolic ancestry score |
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| `"contributor"` | Float for glyph_id | Contribution to fusion |
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| `"frequency"` | Float for glyph_id | Occurrence frequency |
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| `"grammar"` | Float for glyph_id | Structural alignment |
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#### Behavior
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1. Looks up stored glyph data: `ctx._state[f"glyph_{glyph_id}"]`
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2. If pipeline result available: uses full data (preferred)
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3. Otherwise: uses stored resonance_metrics dict (fallback)
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4. Prints formatted output with `[XIC-RESONANCE]` prefix
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5. Stores result in `ctx._state[f"resonance_query_{glyph_id}_{metric}"]`
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#### Example Outputs
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**Report (no metric)**:
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```
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[XIC-RESONANCE] Report for glyph://compression_theory:
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Global Resonance Score: 0.847
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Glyphs Engaged: 3
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Top Glyphs by Weight:
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glyph://compression_theory: weight=0.950, lineage=0.820, contributor=0.890
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glyph://entropy: weight=0.730, lineage=0.680, contributor=0.710
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glyph://coding: weight=0.652, lineage=0.590, contributor=0.645
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```
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**Global Score**:
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```
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[XIC-RESONANCE] Global resonance for glyph://compression_theory: 0.847
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```
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**Dominant Glyphs**:
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```
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[XIC-RESONANCE] Dominant glyphs for glyph://compression_theory:
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glyph://compression_theory: 0.950
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glyph://entropy: 0.730
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glyph://coding: 0.652
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glyph://information: 0.515
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glyph://language: 0.487
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```
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**Specific Metric**:
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```
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[XIC-RESONANCE] weight for glyph://compression_theory: 0.950
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[XIC-RESONANCE] lineage for glyph://compression_theory: 0.820
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```
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---
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## Demo Program
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### File: `programs/demo_glyph_resonance.gx.json`
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Comprehensive two-chain demo showcasing:
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1. **Chain 1 (resonance_analysis_1)**
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- CALL_GLYPH with compression_theory
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- Query: report (formatted overview)
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- Query: global (single score)
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- Query: dominant (top 5 glyphs)
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- Query: weight (specific metric)
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2. **Chain 2 (resonance_analysis_2)**
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- CALL_GLYPH with neural_dynamics
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- Query: report
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- Query: lineage, contributor, frequency, grammar (individual metrics)
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All queries logged with CHAIN markers for instrumentation.
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---
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## Updated Formal Specification
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### File: `XIC_SEMANTICS_v1_5.md`
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#### Additions
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1. **Glyph Resonance Structure Section**
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- FusedSymbol dataclass definition
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- GlyphResonanceMap with methods
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- GlyphResonanceMetrics field documentation
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- Example JSON structure
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2. **GET_GLYPH_RESONANCE Instruction Semantics**
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- Signature, preconditions, postconditions
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- Metric table with descriptions
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- Behavior specification
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- Side effects and remarks
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#### Documentation
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Clear path for accessing resonance data:
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```
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CALL_GLYPH "glyph_id" "payload"
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↓
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ctx._state["glyph_glyph_id"] (resonance_metrics + global_resonance_score)
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ctx._state["glyph_glyph_id_pipeline_result"] (full SymbolicPipelineResult)
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↓
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GET_GLYPH_RESONANCE "glyph_id" "metric" (query and display)
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```
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---
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## Exports and Integration
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### File: `glyphos/__init__.py`
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Added exports:
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- `GlyphResonanceMetrics`
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- `GlyphResonanceMap`
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- `extract_glyph_resonances`
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- `get_dominant_glyphs`
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- `format_glyph_resonance_report`
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All resonance utilities available via:
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```python
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from glyphos import (
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extract_glyph_resonances,
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get_dominant_glyphs,
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format_glyph_resonance_report,
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GlyphResonanceMetrics,
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GlyphResonanceMap,
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)
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```
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---
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## Architecture
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### Module Hierarchy
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```
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glyphos/
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├── cognitive_kernel.py (CognitiveKernel, get_kernel, run_symbolic_prompt)
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├── symbolic_pipeline.py (SymbolicPipeline, resonance utilities)
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│ ├── SymbolicStep
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│ ├── SymbolicPipelineResult
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│ ├── FusedSymbol
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│ ├── GlyphResonanceMetrics [NEW]
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│ ├── GlyphResonanceMap [NEW]
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│ ├── run_symbolic_pipeline
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│ ├── extract_glyph_resonances [NEW]
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│ ├── get_dominant_glyphs [NEW]
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│ └── format_glyph_resonance_report [NEW]
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├── events.py (EventBus, emit, on)
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└── __init__.py (exports all)
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xic_ops.py
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├── op_LOAD_MODEL
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├── op_SET_MODE
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├── op_SET_PARAM
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├── op_SET_CONTEXT
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├── op_RUN_PROMPT
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├── op_STREAM
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├── op_CHAIN
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├── op_CALL_GLYPH [ENHANCED]
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├── op_GET_GLYPH_RESONANCE [NEW]
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├── op_LOG
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└── OP_TABLE [10 ops]
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```
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### Data Flow (Resonance-Aware)
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```
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CALL_GLYPH "glyph_id" "payload"
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↓
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run_symbolic_pipeline(payload, context, glyph_id)
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↓
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[Compress → Manifest → LAIN cognition]
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↓
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SymbolicPipelineResult
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├─ steps: [SymbolicStep...]
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├─ output_text: str
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└─ fused_symbol: FusedSymbol
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├─ summary: str
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├─ glyph_ids: [str]
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└─ resonance_map: GlyphResonanceMap
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├─ global_resonance_score: float
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└─ resonances: {glyph_id → GlyphResonanceMetrics}
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↓
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Store in ctx._state:
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├─ glyph_{glyph_id}: {output_text, fused_symbol, resonance_metrics, global_resonance_score, steps}
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└─ glyph_{glyph_id}_pipeline_result: SymbolicPipelineResult
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↓
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GET_GLYPH_RESONANCE "glyph_id" "metric"
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↓
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Query + Display → ctx._state["resonance_query_{glyph_id}_{metric}"]
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```
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---
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## Validation Tests
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### Test Coverage (10 tests)
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||||
|
||||
✅ **Test 1: GlyphResonanceMetrics Creation**
|
||||
- Instantiate with all fields
|
||||
- Verify all fields accessible
|
||||
|
||||
✅ **Test 2: GlyphResonanceMap Methods**
|
||||
- `get_glyph_resonance()` retrieval
|
||||
- `get_top_glyphs()` sorting
|
||||
- `get_average_resonance()` calculation
|
||||
|
||||
✅ **Test 3: FusedSymbol from_lain_result()**
|
||||
- Parse LAIN output structure
|
||||
- Verify resonance_map populated
|
||||
- Check glyph_ids list
|
||||
|
||||
✅ **Test 4: extract_glyph_resonances()**
|
||||
- Extract metrics from SymbolicPipelineResult
|
||||
- Verify dict structure
|
||||
- Check metric values
|
||||
|
||||
✅ **Test 5: get_dominant_glyphs()**
|
||||
- Rank glyphs by weight
|
||||
- Return top N correctly
|
||||
- Verify sorting order
|
||||
|
||||
✅ **Test 6: format_glyph_resonance_report()**
|
||||
- Generate human-readable output
|
||||
- Include global score
|
||||
- List top glyphs
|
||||
|
||||
✅ **Test 7: op_CALL_GLYPH Storage**
|
||||
- Execute CALL_GLYPH
|
||||
- Verify ctx._state["glyph_*"] populated
|
||||
- Check resonance_metrics structure
|
||||
|
||||
✅ **Test 8: op_GET_GLYPH_RESONANCE Query (report)**
|
||||
- Query with no metric
|
||||
- Verify formatted output
|
||||
- Check ctx._state storage
|
||||
|
||||
✅ **Test 9: op_GET_GLYPH_RESONANCE Query (metrics)**
|
||||
- Query global, weight, lineage, contributor, frequency, grammar
|
||||
- Verify each metric extracted
|
||||
- Check stored values
|
||||
|
||||
✅ **Test 10: demo_glyph_resonance Program**
|
||||
- Execute full demo program
|
||||
- Verify all instructions execute
|
||||
- Check both chains complete
|
||||
- Verify resonance queries all succeed
|
||||
|
||||
---
|
||||
|
||||
## Backward Compatibility
|
||||
|
||||
✅ **XIC v1 programs work unchanged**:
|
||||
- All existing ops maintain same signatures
|
||||
- Compressed mode execution path unaffected
|
||||
- demo_chat.gx.json still works
|
||||
|
||||
✅ **XIC v1.5 programs work unchanged**:
|
||||
- RUN_PROMPT, STREAM, CALL_GLYPH behavior preserved
|
||||
- run_symbolic_pipeline() signature unchanged
|
||||
- SymbolicPipelineResult structure preserved
|
||||
|
||||
✅ **New features are additive**:
|
||||
- GET_GLYPH_RESONANCE is new op, doesn't affect existing ones
|
||||
- Enhanced CALL_GLYPH stores additional data but doesn't change output behavior
|
||||
- Enhanced data structures don't break existing access patterns
|
||||
|
||||
---
|
||||
|
||||
## Key Design Decisions
|
||||
|
||||
### 1. Multi-Dimensional Resonance Metrics
|
||||
|
||||
**Decision**: Five separate metrics (weight, lineage, contributor, frequency, grammar) instead of single resonance score.
|
||||
|
||||
**Rationale**: Enables nuanced understanding of glyph engagement. Each dimension captures different aspect of cognitive activity.
|
||||
|
||||
### 2. FusedSymbol.from_lain_result() Class Method
|
||||
|
||||
**Decision**: Parse LAIN output via class method instead of constructor.
|
||||
|
||||
**Rationale**: Allows flexible LAIN output structure. Keeps constructor simple for manual creation.
|
||||
|
||||
### 3. GET_GLYPH_RESONANCE as Separate Instruction
|
||||
|
||||
**Decision**: New instruction instead of extending CALL_GLYPH.
|
||||
|
||||
**Rationale**: Separates concerns (execution vs. introspection). Enables flexible post-execution queries. Supports programmatic access to metrics.
|
||||
|
||||
### 4. Store Full SymbolicPipelineResult
|
||||
|
||||
**Decision**: Keep full pipeline object in ctx._state alongside extracted metrics.
|
||||
|
||||
**Rationale**: Enables direct access to complete data for power users. Supports future introspection capabilities.
|
||||
|
||||
---
|
||||
|
||||
## Files Modified or Created
|
||||
|
||||
### Created
|
||||
|
||||
| File | Purpose |
|
||||
|------|---------|
|
||||
| `programs/demo_glyph_resonance.gx.json` | Demo of glyph resonance metric queries |
|
||||
| `XIC_GLYPH_RESONANCE_REPORT.md` | This comprehensive report |
|
||||
|
||||
### Modified
|
||||
|
||||
| File | Changes |
|
||||
|------|---------|
|
||||
| `glyphos/symbolic_pipeline.py` | +GlyphResonanceMetrics, +GlyphResonanceMap, +FusedSymbol.from_lain_result(), +extract_glyph_resonances, +get_dominant_glyphs, +format_glyph_resonance_report |
|
||||
| `xic_ops.py` | Enhanced op_CALL_GLYPH, +op_GET_GLYPH_RESONANCE, +OP_TABLE entry |
|
||||
| `glyphos/__init__.py` | +exports for resonance utilities and dataclasses |
|
||||
| `XIC_SEMANTICS_v1_5.md` | +Glyph Resonance Structure section, +GET_GLYPH_RESONANCE instruction semantics |
|
||||
|
||||
### Unchanged (Backward Compatibility)
|
||||
|
||||
- xic_loader.py
|
||||
- xic_vm.py
|
||||
- xic_executor.py
|
||||
- runtime_executor/runner.py
|
||||
- glyphos/cognitive_kernel.py (unchanged signature)
|
||||
- All existing .gx files
|
||||
|
||||
---
|
||||
|
||||
## Usage Examples
|
||||
|
||||
### Example 1: Query Resonance Report
|
||||
|
||||
```bash
|
||||
glyph --xic programs/demo_glyph_resonance.gx.json
|
||||
```
|
||||
|
||||
Output includes formatted reports for multiple glyphs with all metrics.
|
||||
|
||||
### Example 2: Programmatic Access
|
||||
|
||||
```python
|
||||
from xic_executor import run_xic
|
||||
ctx = run_xic("programs/demo_glyph_resonance.gx.json")
|
||||
|
||||
# Access resonance query results
|
||||
report = ctx._state.get("resonance_query_glyph://compression_theory_report")
|
||||
global_score = ctx._state.get("resonance_query_glyph://compression_theory_global")
|
||||
dominant = ctx._state.get("resonance_query_glyph://compression_theory_dominant")
|
||||
```
|
||||
|
||||
### Example 3: Direct Pipeline Result Access
|
||||
|
||||
```python
|
||||
from xic_executor import run_xic
|
||||
ctx = run_xic("programs/demo_glyph_resonance.gx.json")
|
||||
|
||||
# Get full pipeline result
|
||||
pipeline_result = ctx._state.get("glyph_glyph://compression_theory_pipeline_result")
|
||||
fused_symbol = pipeline_result.fused_symbol
|
||||
|
||||
# Query resonance map
|
||||
top_glyphs = fused_symbol.resonance_map.get_top_glyphs(n=10)
|
||||
avg_resonance = fused_symbol.resonance_map.get_average_resonance()
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## Testing
|
||||
|
||||
All validation tests pass:
|
||||
|
||||
```
|
||||
[TEST 1] GlyphResonanceMetrics creation ✅
|
||||
[TEST 2] GlyphResonanceMap methods ✅
|
||||
[TEST 3] FusedSymbol from_lain_result() ✅
|
||||
[TEST 4] extract_glyph_resonances() ✅
|
||||
[TEST 5] get_dominant_glyphs() ✅
|
||||
[TEST 6] format_glyph_resonance_report() ✅
|
||||
[TEST 7] op_CALL_GLYPH storage ✅
|
||||
[TEST 8] op_GET_GLYPH_RESONANCE report ✅
|
||||
[TEST 9] op_GET_GLYPH_RESONANCE metrics ✅
|
||||
[TEST 10] demo_glyph_resonance program ✅
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## References
|
||||
|
||||
- **Formal Specification**: See `XIC_SEMANTICS_v1_5.md` for complete instruction semantics
|
||||
- **Previous Reports**:
|
||||
- `XIC_SYMBOLIC_EXTENSION_REPORT.md` (v1 symbolic mode)
|
||||
- `XIC_SYMBOLIC_PIPELINE_REPORT.md` (v1.5 pipeline abstraction)
|
||||
- **Implementation**: `glyphos/symbolic_pipeline.py`, `xic_ops.py`, `glyphos/__init__.py`
|
||||
- **Demo**: `programs/demo_glyph_resonance.gx.json`
|
||||
|
||||
---
|
||||
|
||||
## Summary
|
||||
|
||||
XIC v1.5 glyph resonance awareness upgrade provides:
|
||||
|
||||
- **Enhanced Data Structures**: GlyphResonanceMetrics with 5-dimensional resonance scoring
|
||||
- **Utility Functions**: Extract, rank, and report on glyph resonance metrics
|
||||
- **Query Capability**: GET_GLYPH_RESONANCE instruction with flexible metric selection
|
||||
- **Full Introspection**: Access complete SymbolicPipelineResult for power users
|
||||
- **Comprehensive Documentation**: Updated formal semantics with examples
|
||||
- **Demo Program**: Multi-chain example showcasing all resonance query types
|
||||
|
||||
**No breaking changes**. All XIC v1 and v1.5 programs continue to work unchanged.
|
||||
|
||||
---
|
||||
|
||||
**Implementation Complete** ✅
|
||||
**All tests passing** ✅
|
||||
**Backward compatible** ✅
|
||||
**Formal semantics documented** ✅
|
||||
**Resonance awareness enabled** ✅
|
||||
Reference in New Issue
Block a user