Bhārata Strata · Maharashtra · Beed · morphological twins
Places like cell 4700003916
The MH-36 locality cells most similar to this Beed 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 2 distinct districts
Index confidence
0.91
GUM mean confidence of the anchor (R24)
Dimensions compared
43
morphology-v2 feature dimensions
Closest twin distance
0.091
lower = more alike (weighted)
The twins, closest first
#1 · Beedcell 4700004604
distance 0.091
#2 · Beedcell 4700003918
distance 0.096
#3 · Buldhanacell 4720004413
distance 0.114 · cross-district
#4 · Beedcell 4700004965
distance 0.116
#5 · Beedcell 4700004260
distance 0.121
#6 · Beedcell 4700004433
distance 0.127
#7 · Beedcell 4700004605
distance 0.128
#8 · Beedcell 4700001637
distance 0.129
#9 · Buldhanacell 4720003274
distance 0.131 · cross-district
#10 · Beedcell 4700003924
distance 0.132
#11 · Buldhanacell 4720003201
distance 0.133 · cross-district
#12 · Beedcell 4700004261
distance 0.133
#13 · Buldhanacell 4720003509
distance 0.141 · cross-district
#14 · Buldhanacell 4720004639
distance 0.143 · cross-district
#15 · Buldhanacell 4720004103
distance 0.144 · cross-district
#16 · Beedcell 4700005429
distance 0.144
#17 · Beedcell 4700002095
distance 0.145
#18 · Buldhanacell 4720003430
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":470,"cluster_id":4700003916}}}'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.