Bhārata Strata · Maharashtra · Sangli · morphological twins
Places like cell 4930002143
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 5 distinct districts
Index confidence
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
44
morphology-v2 feature dimensions
Closest twin distance
0.127
lower = more alike (weighted)
The twins, closest first
#1 · Sanglicell 4930002479
distance 0.127
#2 · Sanglicell 4930003342
distance 0.138
#3 · Sanglicell 4930002648
distance 0.141
#4 · Sanglicell 4930002989
distance 0.15
#5 · Sanglicell 4930003691
distance 0.163
#6 · Sanglicell 4930002144
distance 0.187
#7 · Sanglicell 4930002649
distance 0.191
#8 · Sanglicell 4930003166
distance 0.209
#9 · Sanglicell 4930003161
distance 0.227
#10 · Nandurbarcell 4860000528
distance 0.238 · cross-district
#11 · Kolhapurcell 4800006227
distance 0.24 · cross-district
#12 · Sanglicell 4930001498
distance 0.242
#13 · Sataracell 4940000015
distance 0.243 · cross-district
#14 · Sanglicell 4930002309
distance 0.243
#15 · Nashikcell 4870012398
distance 0.245 · cross-district
#16 · Kolhapurcell 4800006315
distance 0.248 · cross-district
#17 · Nashikcell 4870012007
distance 0.252 · cross-district
#18 · Sanglicell 4930001980
distance 0.256
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":4930002143}}}'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.