CUTS+ CAUSAL
INITIALISING ENGINE…
CUTS+ CAUSAL
LIVE --:--:-- NIFTY50 · EPOCH 30/30
REST API
GRADIO CLIENT
PIPELINE
INFERENCE
CAUSAL PROBABILITY MATRIX G·σ(G_T) · GUMBEL-SOFTMAX · HOVER → DETAILS · CLICK → PIN
Strong cause >0.7
Moderate 0.4–0.7
Weak <0.4
Inference ripples across this map in real-time
CAUSAL NETWORK GRAPH THRESHOLDED DAG · θ=0.5 · DRAG TO EXPLORE · NODE SIZE ∝ OUT-DEGREE
High φ (upstream)
Mid φ
Low φ (sink)
Strong edge
HELMHOLTZ-HODGE-KODAIRA DECOMPOSITION J_b → J_grad + J_res · ‖RESIDUAL‖ < 10⁻⁶
Scalar Potential φ — Upstream Ranking
Decomposition Diagnostics
GRADIENT vs CYCLIC SPLIT
GRADIENT 93.8%
6.2%
Gradient Flow J_grad — Sector Heatmap
SECTOR MACRO GRAPH — REASON TRIPLET ⟨G, A, E⟩ BIDIRECTIONAL MESSAGE PASSING · CrossLevelMPNN
Macro Sector Adjacency
SINGLE TICKER — FUNDAMENTAL CAUSAL RELIANCE
DuPont PRIOR · 23 NODES · SCM RIDGE · CAMEF GPT4MTS
DuPont Prior Adjacency (23×23)
Discovered Causal Edges
CAMEF Stress Forecast
FCM Lag-Graph G₁–G₄
CAUSAL INFERENCE ENGINE
RESULTS & RIPPLE TRACE
Run an inference query to see results and ripple effects across all views.
LLM DENOISED NEWS
TICKERS36
EDGES127
DENSITY5.2%
λ_s0.10
λ_d1.00
LOSS0.0412
PRIOR CONFORM91.3%
‖J_res‖3.2e-7
EPOCH30/30 ✓
RELIANCE Energy
φ Potential+2.41
Rank#1 Upstream
Out-degree8
In-degree2
Strongest causeONGC 0.847
News score0.87