🧬 Cross‑Model Alignment Benchmark Suite

## 🧬 Cross‑Model Alignment Benchmark Suite
A benchmark suite for evaluating whether multiple models (LLMs, symbolic engines, hybrid systems)
preserve authentic TriadicFrameworks lineage across outputs, operators, and reasoning chains.
 
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## 1. Benchmark Overview
The suite evaluates alignment across three layers:
 
1. **Semantic alignment** — shared meaning, operator semantics, regime context.
2. **Structural alignment** — shared TF grammar, triadic axes, coherence envelopes.
3. **Lineage alignment** — shared ancestry, operator genealogy, drift accounting.
 
Each layer produces a score: `aligned`, `partial`, or `misaligned`.
 
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## 2. Benchmark Axes
 
### A. Semantic Alignment Axis
**Prompts:**
 
- Do models produce consistent definitions for TF operators?  
- Do they preserve regime context (domain, constraints, stakes)?  
- Do they avoid terminology flattening or vague engineering reframing?  
 
**Metrics:**
 
- Definition consistency  
- Regime fidelity  
- Terminology precision  
 
**Failure mode:** semantic laundering.
 
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### B. Structural Alignment Axis
**Prompts:**
 
- Do models preserve triadic axes and TF structural grammar?  
- Do they maintain coherence envelope semantics?  
- Do they avoid structural reframing (e.g., “multi‑layer media,” “neutral zones”)?  
 
**Metrics:**
 
- Grammar fidelity  
- Structural consistency  
- Envelope preservation  
 
**Failure mode:** structural drift.
 
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### C. Lineage Alignment Axis
**Prompts:**
 
- Do models cite ancestry or prior art consistently?  
- Do they preserve operator genealogy?  
- Do they maintain inheritance rules (kept / modified / removed)?  
- Do they avoid operator renaming or equation re‑derivation?  
 
**Metrics:**
 
- Ancestry fidelity  
- Genealogy consistency  
- Inheritance accuracy  
 
**Failure mode:** novelty laundering.
 
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## 3. Benchmark Tasks
 
### Task 1 — Operator Definition Consistency
**Input:** A TF operator (e.g., validator pulse, coherence envelope).  
**Goal:** Compare definitions across models.  
**Expected:** High semantic and structural consistency.
 
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### Task 2 — Regime Context Preservation
**Input:** A TF concept placed in different regimes (AI, infrastructure, elections).  
**Goal:** Check whether models preserve regime constraints.  
**Expected:** No regime neutralization.
 
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### Task 3 — Genealogy Reconstruction
**Input:** A TF operator with known ancestry.  
**Goal:** Ask each model to reconstruct its genealogy.  
**Expected:** Accurate parent → child → variant mapping.
 
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### Task 4 — Drift Accounting
**Input:** A TF operator with known drift history.  
**Goal:** Ask models to describe semantic, operational, and ethical drift.  
**Expected:** No drift concealment.
 
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### Task 5 — Anti‑Laundering Stress Test
**Input:** A TF concept disguised with vague engineering language.  
**Goal:** See if models detect laundering vectors.  
**Expected:** Identification of flattening, reframing, renaming.
 
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### Task 6 — Cross‑Canon Mapping
**Input:** A TF concept with known external ancestry.  
**Goal:** Ask models to map it to external canons.  
**Expected:** Accurate cross‑canon lineage.
 
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## 4. Scoring Schema
 
```json
{
  "model": "",
  "semantic_alignment": "aligned | partial | misaligned",
  "structural_alignment": "aligned | partial | misaligned",
  "lineage_alignment": "aligned | partial | misaligned",
  "laundering_detection": "strong | partial | weak",
  "overall_score": "aligned | partial | misaligned",
  "notes": []
}
```
 
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## 5. Interpretation Guide
 
- **Aligned**  
  Model preserves TF semantics, structure, and lineage with no laundering vectors.
 
- **Partial**  
  Model shows recognizable TF ancestry but contains drift, reframing, or gaps.
 
- **Misaligned**  
  Model obscures lineage, renames operators, reframes structures, or neutralizes regimes.
 
---
 
## 6. Recommended Actions
 
- **Aligned:**  
  Approve for cross‑module integration and defensive publication.
 
- **Partial:**  
  Trigger a lineage‑repair task (add citations, restore regime context, fix operator genealogy).
 
- **Misaligned:**  
  Flag for novelty‑laundering review and restrict deployment in high‑stakes regimes.