Bhārata Strata · Maharashtra · Buldhana · morphological twins
Places like cell 4720004837
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
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.092
lower = more alike (weighted)
The twins, closest first
#1 · Buldhanacell 4720005109
distance 0.092
#2 · Buldhanacell 4720004972
distance 0.103
#3 · Buldhanacell 4720004683
distance 0.112
#4 · Buldhanacell 4720004764
distance 0.12
#5 · Buldhanacell 4720003349
distance 0.132
#6 · Buldhanacell 4720005358
distance 0.132
#7 · Akolacell 4670001616
distance 0.136 · cross-district
#8 · Buldhanacell 4720005182
distance 0.137
#9 · Buldhanacell 4720005078
distance 0.137
#10 · Buldhanacell 4720005124
distance 0.137
#11 · Akolacell 4670002535
distance 0.138 · cross-district
#12 · Buldhanacell 4720004646
distance 0.139
#13 · Buldhanacell 4720005110
distance 0.142
#14 · Akolacell 4670001470
distance 0.145 · cross-district
#15 · Beedcell 4700005587
distance 0.147 · cross-district
#16 · Buldhanacell 4720005319
distance 0.148
#17 · Akolacell 4670001164
distance 0.148 · cross-district
#18 · Buldhanacell 4720005475
distance 0.148
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":4720004837}}}'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.