Bhārata Strata · Maharashtra · Solapur · morphological twins
Places like cell 4960008262
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
0.91
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.146
lower = more alike (weighted)
The twins, closest first
#1 · Solapurcell 4960007912
distance 0.146
#2 · Solapurcell 4960007781
distance 0.157
#3 · Solapurcell 4960008265
distance 0.171
#4 · Nashikcell 4870004699
distance 0.174 · cross-district
#5 · Punecell 4900000907
distance 0.176 · cross-district
#6 · Solapurcell 4960007414
distance 0.176
#7 · Solapurcell 4960008474
distance 0.178
#8 · Solapurcell 4960009068
distance 0.184
#9 · Solapurcell 4960008575
distance 0.184
#10 · Solapurcell 4960008147
distance 0.186
#11 · Solapurcell 4960008860
distance 0.188
#12 · Punecell 4900001427
distance 0.189 · cross-district
#13 · Punecell 4900000930
distance 0.19 · cross-district
#14 · Punecell 4900000411
distance 0.191 · cross-district
#15 · Solapurcell 4960005276
distance 0.192
#16 · Solapurcell 4960008475
distance 0.194
#17 · Solapurcell 4960007911
distance 0.194
#18 · Nashikcell 4870003118
distance 0.195 · 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":4960008262}}}'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.