Bhārata Strata · Maharashtra · Sangli · morphological twins
Places like cell 4930003671
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 2 distinct districts
Index confidence
0.93
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.089
lower = more alike (weighted)
The twins, closest first
#1 · Sanglicell 4930002965
distance 0.089
#2 · Sanglicell 4930002639
distance 0.101
#3 · Sanglicell 4930003838
distance 0.101
#4 · Sanglicell 4930004008
distance 0.103
#5 · Sanglicell 4930003844
distance 0.117
#6 · Sanglicell 4930002450
distance 0.139
#7 · Solapurcell 4960000619
distance 0.143 · cross-district
#8 · Solapurcell 4960000840
distance 0.148 · cross-district
#9 · Sanglicell 4930004173
distance 0.152
#10 · Sanglicell 4930002805
distance 0.153
#11 · Sanglicell 4930002278
distance 0.153
#12 · Solapurcell 4960000493
distance 0.158 · cross-district
#13 · Solapurcell 4960003170
distance 0.158 · cross-district
#14 · Solapurcell 4960002071
distance 0.159 · cross-district
#15 · Sanglicell 4930003666
distance 0.159
#16 · Sanglicell 4930003669
distance 0.161
#17 · Sanglicell 4930005161
distance 0.162
#18 · Solapurcell 4960001833
distance 0.163 · 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":493,"cluster_id":4930003671}}}'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.