Bhārata Strata · Maharashtra · Sangli · morphological twins
Places like cell 4930002719
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
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.106
lower = more alike (weighted)
The twins, closest first
#1 · Sanglicell 4930002380
distance 0.106
#2 · Sanglicell 4930001167
distance 0.148
#3 · Sanglicell 4930002548
distance 0.154
#4 · Sanglicell 4930001292
distance 0.202
#5 · Kolhapurcell 4800005014
distance 0.208 · cross-district
#6 · Sanglicell 4930002210
distance 0.211
#7 · Kolhapurcell 4800004326
distance 0.215 · cross-district
#8 · Sanglicell 4930002381
distance 0.216
#9 · Sanglicell 4930002377
distance 0.218
#10 · Sanglicell 4930001714
distance 0.218
#11 · Kolhapurcell 4800004585
distance 0.225 · cross-district
#12 · Sanglicell 4930000482
distance 0.23
#13 · Sanglicell 4930000740
distance 0.233
#14 · Kolhapurcell 4800005120
distance 0.234 · cross-district
#15 · Sanglicell 4930002728
distance 0.235
#16 · Kolhapurcell 4800003856
distance 0.235 · cross-district
#17 · Sanglicell 4930000005
distance 0.236
#18 · Kolhapurcell 4800004427
distance 0.237 · 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":4930002719}}}'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.