Bhārata Strata · Maharashtra · Sangli · morphological twins
Places like cell 4930004232
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 3 distinct districts
Index confidence
0.93
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.171
lower = more alike (weighted)
The twins, closest first
#1 · Sanglicell 4930004381
distance 0.171
#2 · Sanglicell 4930004527
distance 0.179
#3 · Sanglicell 4930004237
distance 0.187
#4 · Sanglicell 4930004230
distance 0.188
#5 · Sanglicell 4930004081
distance 0.191
#6 · Kolhapurcell 4800003546
distance 0.192 · cross-district
#7 · Sanglicell 4930006250
distance 0.194
#8 · Solapurcell 4960010142
distance 0.197 · cross-district
#9 · Sanglicell 4930000286
distance 0.199
#10 · Solapurcell 4960010306
distance 0.2 · cross-district
#11 · Sanglicell 4930004973
distance 0.203
#12 · Solapurcell 4960010787
distance 0.206 · cross-district
#13 · Kolhapurcell 4800003681
distance 0.207 · cross-district
#14 · Sanglicell 4930004238
distance 0.208
#15 · Sanglicell 4930004660
distance 0.208
#16 · Sanglicell 4930000905
distance 0.209
#17 · Kolhapurcell 4800004542
distance 0.211 · cross-district
#18 · Sanglicell 4930005623
distance 0.211
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":4930004232}}}'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.