Bhārata Strata · Maharashtra · Solapur · morphological twins
Places like cell 4960009421
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 2 distinct districts
Index confidence
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.123
lower = more alike (weighted)
The twins, closest first
#1 · Solapurcell 4960009224
distance 0.123
#2 · Solapurcell 4960009326
distance 0.125
#3 · Solapurcell 4960009120
distance 0.126
#4 · Solapurcell 4960009508
distance 0.132
#5 · Solapurcell 4960009614
distance 0.133
#6 · Solapurcell 4960008814
distance 0.135
#7 · Solapurcell 4960009225
distance 0.14
#8 · Solapurcell 4960008823
distance 0.146
#9 · Solapurcell 4960009874
distance 0.15
#10 · Dharashivcell 4880003474
distance 0.156 · cross-district
#11 · Solapurcell 4960008813
distance 0.157
#12 · Dharashivcell 4880003478
distance 0.159 · cross-district
#13 · Solapurcell 4960008527
distance 0.16
#14 · Solapurcell 4960009974
distance 0.161
#15 · Dharashivcell 4880003533
distance 0.165 · cross-district
#16 · Dharashivcell 4880003797
distance 0.166 · cross-district
#17 · Solapurcell 4960009119
distance 0.17
#18 · Dharashivcell 4880003423
distance 0.171 · 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":4960009421}}}'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.