Bhārata Strata · Maharashtra · Sangli · morphological twins
Places like cell 4930003783
The MH-36 locality cells most similar to this Sangli 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 6 distinct districts
Index confidence
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.197
lower = more alike (weighted)
The twins, closest first
#1 · Sanglicell 4930001907
distance 0.197
#2 · Nashikcell 4870012137
distance 0.197 · cross-district
#3 · Sanglicell 4930001625
distance 0.199
#4 · Sanglicell 4930000231
distance 0.204
#5 · Laturcell 4810001612
distance 0.205 · cross-district
#6 · Sanglicell 4930005117
distance 0.211
#7 · Dharashivcell 4880001381
distance 0.212 · cross-district
#8 · Sanglicell 4930003791
distance 0.212
#9 · Ahmednagarcell 4660006141
distance 0.212 · cross-district
#10 · Sanglicell 4930000662
distance 0.213
#11 · Sanglicell 4930003807
distance 0.214
#12 · Sanglicell 4930003434
distance 0.216
#13 · Sanglicell 4930003636
distance 0.216
#14 · Sanglicell 4930001777
distance 0.22
#15 · Sanglicell 4930003950
distance 0.221
#16 · Nashikcell 4870012255
distance 0.223 · cross-district
#17 · Solapurcell 4960000569
distance 0.223 · cross-district
#18 · Sanglicell 4930002136
distance 0.224
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":493,"cluster_id":4930003783}}}'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.