Bhārata Strata · Maharashtra · Solapur · morphological twins
Places like cell 4960006894
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
0.141
lower = more alike (weighted)
The twins, closest first
#1 · Solapurcell 4960007020
distance 0.141
#2 · Solapurcell 4960007168
distance 0.165
#3 · Solapurcell 4960008874
distance 0.17
#4 · Solapurcell 4960008975
distance 0.18
#5 · Solapurcell 4960009080
distance 0.185
#6 · Ahmednagarcell 4660012901
distance 0.188 · cross-district
#7 · Solapurcell 4960006241
distance 0.192
#8 · Solapurcell 4960006237
distance 0.196
#9 · Solapurcell 4960008876
distance 0.197
#10 · Solapurcell 4960006503
distance 0.199
#11 · Solapurcell 4960005559
distance 0.201
#12 · Chhatrapati Sambhajinagarcell 4690002648
distance 0.202 · cross-district
#13 · Solapurcell 4960004670
distance 0.204
#14 · Ahmednagarcell 4660013016
distance 0.206 · cross-district
#15 · Nashikcell 4870003024
distance 0.208 · cross-district
#16 · Solapurcell 4960006633
distance 0.208
#17 · Solapurcell 4960007553
distance 0.211
#18 · Solapurcell 4960004671
distance 0.211
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":4960006894}}}'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.