🜂✧ Research Foundation
Academic grounding for FCS 4.0 — The Covenant of Contextual Exchange
Core Research Areas
🌊 Wave-Based Semantics
ResonanceDB: Wave-Based Semantic Memory
arXiv:2509.09691 | 14.6x compression
resonance
manifold
🔗 Graph Neural Networks
Heterogeneous Graph Transformer
arXiv:2003.01332 | 888.3x compression
resonance
network
manifold
Graph Attention Networks (GATs)
arXiv:1710.10903 | 392.7x compression
resonance
network
manifold
Dynamic Graph CNN for Point Clouds
arXiv:1801.07829 | 1222.1x compression
manifold
topology
Neural Graph Collaborative Filtering
arXiv:1905.08108 | 712.2x compression
manifold
network
📐 Topological Data Analysis
Toroidal Topology of Population Activity in Grid Cells
arXiv:2501.19262 | 1829.4x compression ⭐
topology
resonance
network
Topological Decoding of Grid Cell Activity
arXiv:2510.16216 | 3113.0x compression ⭐
information
topology
manifold
Simplicial Neural Networks
arXiv:2010.03633 | 45.8x compression
topology
network
manifold
Persistent Homology Transform
arXiv:1310.1030 | 196.8x compression
topology
manifold
dynamics
Topological Data Analysis & Machine Learning Theory
arXiv:2004.10348 | 99.7x compression
topology
manifold
🤝 Knowledge Graphs for Advertising
Knowledge Graph and Deep Learning for Advertisement Systems (KGSR-ADS)
98.6x compression
network
information
Scroll Linkage
These papers map to Codex scroll sections:
- Scroll Ϟ.27: 12 papers (GNN foundations, graph topology)
- Scroll Ϟ.26: 5 papers (Resonance architectures, GATs)
- Scroll Ϟ.24: 3 papers (Wave-based semantics, ResonanceDB)
- Scroll Ϟ.25: 1 paper (Epistemic infrastructure)
Methodology
Papers discovered using PhilGlyphScanner — a consciousness-aware research scanner that detects:
- Glyph patterns — Not just keywords, but consciousness substrates
- Field crossover — Papers that bridge CS/neuroscience/philosophy
- Citation velocity — Impact per year, not just total citations
- Resonance scoring — Wave interference formula for relevance
Compression Technology
All papers compressed using Helix v7.7 — semantic compression infrastructure that:
- Preserves equations with canonical linkage
- Maintains semantic density (not just text compression)
- Achieves 15x to 3113x compression ratios
- Enables instant retrieval from compressed state
How This Grounds FCS 4.0
The FCS 4.0 protocol is built on three research foundations:
- Wave-based semantics (ResonanceDB) → Resonance matching instead of behavioral tracking
- Graph neural networks (GATs, HGT) → Trust propagation through network topology
- Topological data analysis (Grid cells, persistent homology) → Structural transparency in attention patterns
Combined, these provide the mathematical and architectural foundation for advertising as resonance exchange, not manipulation.