Bhārata Strata · Maharashtra · Solapur · morphological twins
Places like cell 4960004890
The MH-36 locality cells most similar to this Solapur 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
0.94
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.094
lower = more alike (weighted)
The twins, closest first
#1 · Solapurcell 4960005337
distance 0.094
#2 · Solapurcell 4960006047
distance 0.101
#3 · Solapurcell 4960005765
distance 0.128
#4 · Dharashivcell 4880002680
distance 0.141 · cross-district
#5 · Solapurcell 4960006437
distance 0.143
#6 · Solapurcell 4960006322
distance 0.144
#7 · Solapurcell 4960004427
distance 0.146
#8 · Solapurcell 4960007515
distance 0.156
#9 · Solapurcell 4960006167
distance 0.162
#10 · Dharashivcell 4880003096
distance 0.164 · cross-district
#11 · Solapurcell 4960006301
distance 0.165
#12 · Solapurcell 4960005764
distance 0.168
#13 · Dharashivcell 4880001291
distance 0.168 · cross-district
#14 · Solapurcell 4960004426
distance 0.169
#15 · Dharashivcell 4880002477
distance 0.169 · cross-district
#16 · Laturcell 4810001766
distance 0.17 · cross-district
#17 · Solapurcell 4960006970
distance 0.172
#18 · Solapurcell 4960006003
distance 0.174
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":496,"cluster_id":4960004890}}}'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.