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๐Ÿงฌ CIFOG โ€” Cortex Integrated Fused Omics Graph

Governed ยท Sharded ยท Vector-Native ยท GCN Classical+Quantum ยท Distributed to Edge

Core Innovation: Not a knowledge graph with omics layers. An omics-fused graph where integration IS the structure. Every node is a fused multi-omics state. GCN (classical + quantum) learns patterns across the graph. Biologically sharded by cancer type, distributed to edge principals via governed leases.
Real Docking Integration: Uni-Dock GPU docking scores now feed directly into the CIFOG graph. Docking affinity and pose quality become node features, enabling the GCN to learn binding-informed patterns across cancer shards.

Philosophy

We don't store what the world knows. We build what we need to know, at the moment we need to know it, with expert precision โ€” then distill and propagate only what has been validated by real outcomes.

Knowledge is constructed, perishable, and earned โ€” not stored, static, and retrieved.
PrincipleMeaning
Just-in-time constructionKnowledge built on demand, not pre-loaded
Multi-omics fusion at the nodeIntegration IS the structure, not a query-time join
Skill acquisitionLearn decision patterns, not entity relationships
Outcome validationKnowledge earns authority only through confirmed predictions
Temporal decayUnvalidated knowledge loses authority automatically
Governed propagationDistilled knowledge flows only to authorized principals

Architecture

โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”
โ”‚           CORTEX INTEGRATED FUSED OMICS GRAPH (CIFOG)            โ”‚
โ”‚                                                                   โ”‚
โ”‚  โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”   โ”‚
โ”‚  โ”‚                    FUSED NODES                              โ”‚   โ”‚
โ”‚  โ”‚                                                            โ”‚   โ”‚
โ”‚  โ”‚  KRAS:PAAD โ”€โ”€โ”€ BRAF:PAAD โ”€โ”€โ”€ MEK1:PAAD โ”€โ”€โ”€ ERK2:PAAD    โ”‚   โ”‚
โ”‚  โ”‚      โ”‚              โ”‚              โ”‚                       โ”‚   โ”‚
โ”‚  โ”‚  Each node = genomic + transcriptomic + proteomic +        โ”‚   โ”‚
โ”‚  โ”‚              pathway + clinical (ALL FUSED AT WRITE TIME)   โ”‚   โ”‚
โ”‚  โ”‚                                                            โ”‚   โ”‚
โ”‚  โ”‚  Edges = cross-modal interactions (not single-modality)    โ”‚   โ”‚
โ”‚  โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜   โ”‚
โ”‚                              โ”‚                                    โ”‚
โ”‚              โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”                   โ”‚
โ”‚              โ–ผ                               โ–ผ                   โ”‚
โ”‚  โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”       โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”      โ”‚
โ”‚  โ”‚   CLASSICAL GCN     โ”‚       โ”‚      QUANTUM GCN        โ”‚      โ”‚
โ”‚  โ”‚                     โ”‚       โ”‚                          โ”‚      โ”‚
โ”‚  โ”‚  3 conv layers      โ”‚       โ”‚  Amplitude encoding     โ”‚      โ”‚
โ”‚  โ”‚  64โ†’128โ†’256 filters โ”‚       โ”‚  Edge entanglement      โ”‚      โ”‚
โ”‚  โ”‚  Learns motifs from โ”‚       โ”‚  Variational ansatz     โ”‚      โ”‚
โ”‚  โ”‚  EGAO outcomes      โ”‚       โ”‚  Braket SV1 / IonQ      โ”‚      โ”‚
โ”‚  โ”‚                     โ”‚       โ”‚                          โ”‚      โ”‚
โ”‚  โ”‚  Routine: <50ms     โ”‚       โ”‚  Discovery: <30s        โ”‚      โ”‚
โ”‚  โ”‚  90% of queries     โ”‚       โ”‚  When classical < 0.5   โ”‚      โ”‚
โ”‚  โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜       โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜      โ”‚
โ”‚             โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜                    โ”‚
โ”‚                            โ–ผ                                     โ”‚
โ”‚  โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”  โ”‚
โ”‚  โ”‚                  AUTHORITY GATE                             โ”‚  โ”‚
โ”‚  โ”‚  GCN confidence โ†’ authority score โ†’ EXECUTE or STOP        โ”‚  โ”‚
โ”‚  โ”‚  Evidence: which conv filters fired = explanation          โ”‚  โ”‚
โ”‚  โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜  โ”‚
โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜
         โ”‚                              โ”‚
         โ–ผ                              โ–ผ
โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”          โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”
โ”‚  Edge Node A    โ”‚          โ”‚  Edge Node B    โ”‚
โ”‚  (hospital)     โ”‚          โ”‚  (pharma lab)   โ”‚
โ”‚  PAAD shard     โ”‚          โ”‚  BRCA+LUAD      โ”‚
โ”‚  ~50 nodes      โ”‚          โ”‚  ~100 nodes     โ”‚
โ”‚  (lease-scoped) โ”‚          โ”‚  (lease-scoped) โ”‚
โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜          โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜

Fused Node

The fundamental unit. Not an entity with typed edges โ€” a single fused multi-omics state:

Traditional BKG:
  KRAS (Gene) โ”€โ”€[has_mutation]โ”€โ”€โ–ถ G12C (Variant)
  KRAS (Gene) โ”€โ”€[expressed_in]โ”€โ”€โ–ถ PAAD (Cancer)
  KRAS (Gene) โ”€โ”€[member_of]โ”€โ”€โ–ถ MAPK (Pathway)
  KRAS (Gene) โ”€โ”€[targeted_by]โ”€โ”€โ–ถ Sotorasib (Drug)
  โ†’ 4 separate facts, no integration

CIFOG Fused Node:
  KRAS:PAAD {
    genomic:       {mutation: G12C, frequency: 0.92, CNV: neutral, MSI: stable}
    transcriptomic: {expression_z: 2.4, splicing: canonical}
    proteomic:     {abundance: high, phospho: active, localization: membrane}
    pathway:       {MAPK: active, PI3K: co-active, centrality: 0.89}
    clinical:      {sotorasib: approved, resistance: NRAS_amp(0.3)}

    classification: DRIVER
    actionability: 0.94
    authority: 0.91
  }
  โ†’ One integrated truth, all modalities simultaneous

GCN: Classical + Quantum

PropertyClassical GCNQuantum GCN (QGCN)
PurposeRoutine inferenceDiscovery + contradiction resolution
Speed<50ms per node<30s per node
TriggerEvery queryClassical confidence < 0.5
Architecture3 conv layers (64โ†’128โ†’256)Amplitude encode + edge entangle + variational
LearnsNeighborhood motifs from outcomesMulti-body interactions (3+ nodes)
DiscoversKnown pattern recognitionNovel edges invisible to classical
Cost~$0 (CPU)~$0.30-5 (Braket/IonQ)
GovernanceStandard authority gatePQM-governed escalation
TrainingEGAO outcomes (weekly retrain)Hybrid classical-quantum loop
Classical GCN confidence โ‰ฅ 0.5  โ†’  USE RESULT (governed output)
Classical GCN confidence < 0.5  โ†’  ESCALATE TO QUANTUM GCN
                                     โ†’ PQM authorizes spend
                                     โ†’ QGCN runs on Braket
                                     โ†’ Validate result classically
                                     โ†’ USE RESULT (higher authority if validated)

Sharding

Primary Shards (by cancer type):
  cifog-paad       โ†’ Pancreatic (~500 fused nodes)
  cifog-brca       โ†’ Breast (~600 fused nodes)
  cifog-luad       โ†’ Lung (~450 fused nodes)
  cifog-prad       โ†’ Prostate (~400 fused nodes)

Cross-Shard Index (pan-cancer):
  cifog-global     โ†’ Nodes in โ‰ฅ3 shards (TP53, KRAS, PIK3CA...)

Pathway Sub-Shards:
  cifog-paad:mapk       โ†’ MAPK cascade nodes
  cifog-paad:pi3k       โ†’ PI3K/AKT/mTOR nodes
  cifog-paad:chromatin  โ†’ Chromatin remodeling nodes

Edge Distribution

PrincipalReceivesNodesLease
Hospital oncologycifog-paad (full shard) + global top-50~55030 days
Pharma KRAS programcifog-paad:mapk + cifog-luad:mapk + global:KRAS~20090 days
Broad discoverycifog-global + top-authority per shard~30014 days

Knowledge Lifecycle

CONSTRUCT โ†’ VALIDATE โ†’ COMPRESS โ†’ PROPAGATE โ†’ DECAY โ†’ RE-LEARN

โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”
โ”‚  Authority โ‰ฅ 0.7:   USE STORED (recall, <50ms)              โ”‚
โ”‚  0.4 < Auth < 0.7:  REFRESH (update stale modalities)       โ”‚
โ”‚  Authority < 0.4:   CONSTRUCT FROM SCRATCH (JIT, <30s)      โ”‚
โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜

Validation:    Outcome confirms โ†’ authority +0.05
               Outcome contradicts โ†’ authority -0.10
Decay:         No validation in 60 days โ†’ authority drops
Propagation:   Authority โ‰ฅ 0.75 + 3 validations โ†’ push to edge

vs Competition

WBKG / Neo4j Graph RAGCIFOG
StructureEntity-relationship (separate layers)Fused omics vectors (integration IS the node)
ML Algorithmk-NN / retrievalGCN classical + quantum
StorageCentralized Neo4jSharded vectors, distributed to edge
LearningNone (static load)Online from outcomes + quantum discovery
GovernanceNoneAuthority-gated, hash-chained, lease-scoped
TemporalSnapshot (stale)Continuous decay + re-validation
Edge/OfflineCloud-onlyShard subsets propagate, work offline
Output"Here are related entities""Here's what to do, with this confidence"

Implementation Roadmap

PhaseScopeTimelineStatus
1Data model + sharding + prior knowledge loaderWeeks 1-3Planned
2JIT fused node construction engineWeeks 4-6Planned
3Classical GCN training + inference integrationWeeks 7-9Planned
4Quantum GCN + edge discoveryWeeks 10-12Planned
5Distillation + propagation + Edge SDKWeeks 13-15Planned
6Production hardeningWeeks 16-18Planned

Patent Position

Extends Patent Family 64/036,705 (EGAO):

โ†’ Full Architecture๐Ÿ”ฌ RODE๐Ÿง  Cortex-R ยท โ†’ Quantum ยท โ†’ Multi-Omics ยท โ†’ Models

CIFOG โ€” Cortex Integrated Fused Omics Graph | May 2026