Bhārata Strata · Maharashtra · Buldhana · morphological twins
Places like cell 4720007645
The MH-36 locality cells most similar to this Buldhana cell across terrain, built form, land cover, climate dynamics and connectivity — ranked by a GUM-confidence-weighted (R24) distance, with the temporal block down-weighted. Each twin is a real cell with its own witnessed dossier.
Twins found
18
across 3 distinct districts
Index confidence
0.93
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.085
lower = more alike (weighted)
The twins, closest first
#1 · Buldhanacell 4720007847
distance 0.085
#2 · Buldhanacell 4720007809
distance 0.093
#3 · Buldhanacell 4720007969
distance 0.101
#4 · Buldhanacell 4720007848
distance 0.118
#5 · Buldhanacell 4720007422
distance 0.122
#6 · Buldhanacell 4720007774
distance 0.126
#7 · Akolacell 4670002220
distance 0.133 · cross-district
#8 · Buldhanacell 4720007884
distance 0.133
#9 · Akolacell 4670004178
distance 0.134 · cross-district
#10 · Buldhanacell 4720007027
distance 0.138
#11 · Buldhanacell 4720008043
distance 0.138
#12 · Buldhanacell 4720007458
distance 0.14
#13 · Akolacell 4670001486
distance 0.141 · cross-district
#14 · Buldhanacell 4720008030
distance 0.142
#15 · Buldhanacell 4720007410
distance 0.145
#16 · Amravaticell 4680002971
distance 0.145 · cross-district
#17 · Buldhanacell 4720008068
distance 0.145
#18 · Akolacell 4670002407
distance 0.146 · cross-district
witness: find_twins — morphology-twin-index-v2 (R24, GUM-confidence-weighted, magnitude-aware, temporal block down-weighted). Distance is the weighted feature distance; lower is more alike. Cross-district twins are the discriminative signal.
Re-witness these twins
curl -s https://api.gridrock.ai/mcp -H 'Content-Type: application/json' \
-H 'Accept: application/json, text/event-stream' \
-d '{"jsonrpc":"2.0","id":1,"method":"tools/call","params":{"name":"find_twins",
"arguments":{"admin_code":472,"cluster_id":4720007645}}}'Scope: the live MH-36 cube. Twins are computed from the sha-verified morphology-v2 vector; the engine supplies no goodness/suitability ranking — only morphological similarity.