Remove hopf_ingest_bridge.md

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# ⛔ RETRACTED — Hopf Ingest Bridge
**Retraction date:** June 30, 2026. Depends on retracted Hopf Portability Criterion (`docs/hopf_portability_criterion.md`). Replaced by `scripts/cartan_fingerprint.py` and `docs/cartan_fingerprint.md`.
---
# Hopf Ingest Bridge — Automated Classification System (ARCHIVED)
**References:** `docs/hopf_portability_criterion.md`, `formal/CoreFormalism/HopfFibration.lean`
## 0. Purpose
Given a problem P (expressed as structured metadata), determine:
1. Whether P is Hopf-portable
2. If so, compute its fingerprint (n, σ, τ, D, ∆, R)
3. Classify it into a fiber type and regime class
This bridges from the SilverSight formalization to arbitrary problem domains.
## I. Ingest Pipeline
```
Problem P (JSON metadata)
→ Extract channel structure (count n, interaction matrix M)
→ Check Sidon-labelability (powers of 2 available?)
→ Compute σ = spectral_radius(M) / 2ⁿ
→ Compute τ = 1/(n1)
→ Compute D = lcm(2ⁿ, n1)
→ Compute ∆ = numerator(σ τ)
→ Check R = (n1) × fiber_c matches π₀(Diff⁺(S^(2n-2)))
→ Emit classification receipt
```
## II. Input Schema
```json
{
"schema": "hopf_ingest_request_v1",
"problem_id": "string",
"domain": "physics | optimization | number_theory | geometry | other",
"channel_count": 8,
"interaction_matrix": "path_or_citation",
"sidon_set": [1, 2, 4, 8, 16, 32, 64, 128],
"yang_baxter_holds": true,
"eigensolid_exists": true,
"hint_fiber_type": "quaternionic"
}
```
## III. Classification Output
```json
{
"schema": "hopf_ingest_receipt_v1",
"problem_id": "string",
"hopf_portable": true,
"fingerprint": {
"n": 8,
"sigma": "39/256",
"sigma_numerator": 39,
"tau": "1/7",
"denominator_D": 1792,
"gap": "17/1792",
"gap_numerator": 17,
"regimes_R": 28,
"fiber_type": "quaternionic",
"fiber_dimension": 3,
"hopf_map": "S³→S⁷→S⁴"
},
"classification": {
"regime_class": null,
"port_quality": "strong",
"domain_analogs": [
"topological_insulators",
"anyons_tqc",
"qubo_spin_glasses",
"ads4_cft3",
"exponential_sums",
"elliptic_curves_qm",
"crystalline_cohomology",
"spin_systems_o3",
"class_field_theory"
]
},
"conditions_passed": [true, true, true, true, true, true],
"maximal_encoding": true,
"at_ceiling": true
}
```
## IV. Classification Rules
### Rule 1: Fiber Type Detection
| Channel count n | Fiber f | Hopf map | Structure group |
|-----------------|---------|----------|-----------------|
| n = 2 | f = 0 (real) | S¹→S¹ | ℤ₂ |
| n = 4 | f = 1 (complex) | S³→S² | U(1) |
| n = 8 | f = 3 (quaternionic) | S⁷→S⁴ | SU(2) ≅ Sp(1) |
| n = 16 | f = 7 (octonionic) | S¹⁵→S⁸ | none (non-associative) |
If n ∉ {2, 4, 8, 16}: **not Hopf-portable** (Condition E fails).
### Rule 2: Gap Divergence Detection
If p = numerator(σ τ) is:
- p = 0: **degenerate** — Kelvin (achiral) regime, no dissipation
- 0 < p < 255: **Rossby (chiral) regime**, spectral gap active
- p ≥ 500: **nonabelian** — crossing energy dominates, possible regime collapse
For n=8 with Cartan a=39: p = 39×7 256 = 17 ∈ (0, 255) ✓
### Rule 3: Ceiling Detection
```
is_at_ceiling = (n == 8) AND (fiber_type == "quaternionic")
```
If true: this is the **maximal group-theoretic Hopf encoding**. No larger n supports a structure group.
## V. Bridge Architecture
```
┌─────────────────────────────────────┐
│ Ingest Request │
│ (JSON metadata about problem P) │
└──────────────┬──────────────────────┘
┌─────────────────────────────────────┐
│ Condition Checker │
│ A: Strand decomposition │
│ B: Cartan spectrum (σ = a/2ⁿ) │
│ C: Sidon threshold (τ = 1/(n1)) │
│ D: Spectral gap (∆ = p/D) │
│ E: Hopf fibration fit (n = 2f+2) │
│ F: Regime bound (R = (n1)×c) │
└──────────────┬──────────────────────┘
┌─────────────────────────────────────┐
│ Fingerprint Computer │
│ n, σ, τ, D, ∆, R, fiber_type │
└──────────────┬──────────────────────┘
┌─────────────────────────────────────┐
│ Domain Matcher │
│ Cross-references against 15 known │
│ Hopf-portable domain templates │
└──────────────┬──────────────────────┘
┌─────────────────────────────────────┐
│ Classification Receipt │
│ Emitted to signatures/ directory │
│ Schema: hopf_ingest_receipt_v1 │
└─────────────────────────────────────┘
```
## VI. Known Templates
The bridge ships with 15 pre-classified domain templates (from the 4-agent synthesis):
| Template ID | Domain | n | σ | D | R | Quality |
|-------------|--------|---|---|---|---|---------|
| TPL-QUAT-BRAID | 8-strand braidStorm | 8 | 39/256 | 1792 | 28 | Reference |
| TPL-TOPO-INS | Hopf/Chern insulators | 8 | varies | 1792 | 28 | Strong |
| TPL-ANYON-TQC | Fibonacci anyons | 8 | φ/256 | 1792 | 28 | Deep |
| TPL-QUBO | QUBO spin glass | 8 | 39/256 | 1792 | 28 | Strong |
| TPL-ADS-CFT | AdS₄×S⁷/Zk | 8 | SO(8)/256 | 1792 | 28 | Strong |
| TPL-EXP-SUM | Kloosterman sheaves | 8 | p-adic/256 | 1792 | 28 | Strong |
| TPL-ELL-QM | Elliptic curve QM | 8 | conductor/256 | 1792 | 28 | Strong |
| TPL-CRYSTAL | Crystalline coho | 8 | L-invar/256 | 1792 | 28 | V-Strong |
| TPL-SPIN-O3 | O(3) sigma + Hopf | 8 | g/256 | 1792 | 28 | Strong |
| TPL-CLASS-FT | Class field mod 29 | 8 | regul/256 | 1792 | 28 | Strong |
| TPL-TSP | TSP | 8 | 39/256 | 1792 | 28 | Moderate |
| TPL-ILP | Integer programming | 8 | var/256 | 1792 | 28 | Moderate |
| TPL-GRAPH | Graph coloring | 4 | chrom/16 | 24 | 6 | Suggestive |
| TPL-SAT | 1-in-k SAT | 4 | clause/16 | 24 | 6 | Weak |
| TPL-REAL | Binary decisions | 2 | 1/4 | 2 | 2 | Degenerate |
New domains can be added by providing the 6-condition metadata and verifying against the criterion.
## VII. Implementation Plan
1. **Python classifier** (`scripts/hopf_classifier.py`): Accepts JSON problem metadata, runs the 6 conditions, emits receipt
2. **Lean verification** (`formal/CoreFormalism/HopfFibration.lean`): Theorems `finitely_many_regimes_8` and `exotic_regime_bound` provide the formal boundary
3. **AAIngest bridge**: Wire into the existing ingest pipeline → research_stack database → RRC classification
The classifier can automatically determine:
- `hopf_portable`: true/false
- `fiber_type`: real/complex/quaternionic/octonionic
- `fingerprint`: complete n/σ/τ/D/∆/R
- `at_ceiling`: whether this is the maximal encoding