Bhārata Strata · Maharashtra · Solapur · morphological twins
Places like cell 4960010582
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 4 distinct districts
Index confidence
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.088
lower = more alike (weighted)
The twins, closest first
#1 · Solapurcell 4960010581
distance 0.088
#2 · Solapurcell 4960010578
distance 0.091
#3 · Solapurcell 4960011119
distance 0.094
#4 · Solapurcell 4960006985
distance 0.098
#5 · Solapurcell 4960007250
distance 0.105
#6 · Solapurcell 4960010884
distance 0.105
#7 · Dharashivcell 4880001874
distance 0.113 · cross-district
#8 · Solapurcell 4960006854
distance 0.127
#9 · Solapurcell 4960010177
distance 0.131
#10 · Solapurcell 4960010176
distance 0.132
#11 · Solapurcell 4960009642
distance 0.133
#12 · Solapurcell 4960010090
distance 0.135
#13 · Dharashivcell 4880002196
distance 0.141 · cross-district
#14 · Beedcell 4700006326
distance 0.142 · cross-district
#15 · Solapurcell 4960011037
distance 0.142
#16 · Solapurcell 4960010494
distance 0.142
#17 · Chhatrapati Sambhajinagarcell 4690001964
distance 0.143 · cross-district
#18 · Solapurcell 4960007255
distance 0.143
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":4960010582}}}'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.