Bhārata Strata · Maharashtra · Solapur · morphological twins
Places like cell 4960005320
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
0.143
lower = more alike (weighted)
The twins, closest first
#1 · Solapurcell 4960004705
distance 0.143
#2 · Solapurcell 4960002174
distance 0.148
#3 · Solapurcell 4960005168
distance 0.157
#4 · Solapurcell 4960004395
distance 0.168
#5 · Parbhanicell 4890004439
distance 0.175 · cross-district
#6 · Solapurcell 4960005321
distance 0.176
#7 · Solapurcell 4960004243
distance 0.182
#8 · Solapurcell 4960006274
distance 0.183
#9 · Solapurcell 4960005891
distance 0.186
#10 · Solapurcell 4960005876
distance 0.192
#11 · Parbhanicell 4890001273
distance 0.197 · cross-district
#12 · Ahmednagarcell 4660009090
distance 0.214 · cross-district
#13 · Solapurcell 4960006007
distance 0.216
#14 · Solapurcell 4960005878
distance 0.227
#15 · Solapurcell 4960004859
distance 0.229
#16 · Nashikcell 4870007063
distance 0.239 · cross-district
#17 · Solapurcell 4960004698
distance 0.239
#18 · Nashikcell 4870006600
distance 0.241 · 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":4960005320}}}'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.