Bhārata Strata · Maharashtra · Solapur · morphological twins
Places like cell 4960010248
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 3 distinct districts
Index confidence
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.134
lower = more alike (weighted)
The twins, closest first
#1 · Solapurcell 4960010243
distance 0.134
#2 · Solapurcell 4960010651
distance 0.151
#3 · Dharashivcell 4880002195
distance 0.156 · cross-district
#4 · Solapurcell 4960009640
distance 0.158
#5 · Solapurcell 4960007886
distance 0.165
#6 · Dharashivcell 4880002404
distance 0.165 · cross-district
#7 · Dharashivcell 4880001961
distance 0.166 · cross-district
#8 · Solapurcell 4960011443
distance 0.172
#9 · Dharashivcell 4880001810
distance 0.173 · cross-district
#10 · Solapurcell 4960011967
distance 0.174
#11 · Solapurcell 4960010148
distance 0.175
#12 · Solapurcell 4960009818
distance 0.18
#13 · Solapurcell 4960012239
distance 0.18
#14 · Solapurcell 4960010577
distance 0.181
#15 · Solapurcell 4960011714
distance 0.183
#16 · Solapurcell 4960010496
distance 0.184
#17 · Solapurcell 4960011794
distance 0.185
#18 · Laturcell 4810003150
distance 0.187 · 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":4960010248}}}'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.