Bhārata Strata · Maharashtra · Solapur · morphological twins
Places like cell 4960009191
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
0.101
lower = more alike (weighted)
The twins, closest first
#1 · Solapurcell 4960008182
distance 0.101
#2 · Solapurcell 4960009290
distance 0.115
#3 · Solapurcell 4960009292
distance 0.146
#4 · Solapurcell 4960010109
distance 0.151
#5 · Solapurcell 4960009289
distance 0.164
#6 · Solapurcell 4960009291
distance 0.166
#7 · Solapurcell 4960008883
distance 0.174
#8 · Solapurcell 4960010110
distance 0.175
#9 · Solapurcell 4960009194
distance 0.18
#10 · Solapurcell 4960009481
distance 0.181
#11 · Chhatrapati Sambhajinagarcell 4690005970
distance 0.189 · cross-district
#12 · Solapurcell 4960010023
distance 0.19
#13 · Solapurcell 4960009198
distance 0.195
#14 · Dharashivcell 4880003467
distance 0.198 · cross-district
#15 · Chhatrapati Sambhajinagarcell 4690006221
distance 0.201 · cross-district
#16 · Solapurcell 4960008792
distance 0.202
#17 · Solapurcell 4960010526
distance 0.204
#18 · Solapurcell 4960010189
distance 0.206
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":4960009191}}}'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.