Bhārata Strata · Maharashtra · Solapur · morphological twins
Places like cell 4960004432
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 5 distinct districts
Index confidence
0.94
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.074
lower = more alike (weighted)
The twins, closest first
#1 · Solapurcell 4960004429
distance 0.074
#2 · Solapurcell 4960006040
distance 0.099
#3 · Solapurcell 4960004582
distance 0.122
#4 · Solapurcell 4960007366
distance 0.132
#5 · Solapurcell 4960004589
distance 0.133
#6 · Solapurcell 4960004436
distance 0.143
#7 · Solapurcell 4960005901
distance 0.144
#8 · Solapurcell 4960004590
distance 0.144
#9 · Solapurcell 4960005197
distance 0.147
#10 · Solapurcell 4960006175
distance 0.153
#11 · Beedcell 4700003149
distance 0.153 · cross-district
#12 · Solapurcell 4960005908
distance 0.154
#13 · Laturcell 4810001943
distance 0.155 · cross-district
#14 · Laturcell 4810002560
distance 0.156 · cross-district
#15 · Solapurcell 4960010343
distance 0.159
#16 · Dharashivcell 4880003774
distance 0.16 · cross-district
#17 · Sanglicell 4930000827
distance 0.162 · cross-district
#18 · Beedcell 4700000966
distance 0.162 · 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":496,"cluster_id":4960004432}}}'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.