Bhārata Strata · Maharashtra · Kolhapur · morphological twins
Places like cell 4800006299
The MH-36 locality cells most similar to this Kolhapur 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
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
42
morphology-v2 feature dimensions
Closest twin distance
0.094
lower = more alike (weighted)
The twins, closest first
#1 · Sanglicell 4930003514
distance 0.094 · cross-district
#2 · Kolhapurcell 4800006071
distance 0.107
#3 · Kolhapurcell 4800006354
distance 0.121
#4 · Kolhapurcell 4800006097
distance 0.157
#5 · Kolhapurcell 4800006198
distance 0.166
#6 · Kolhapurcell 4800006280
distance 0.186
#7 · Kolhapurcell 4800006074
distance 0.191
#8 · Sanglicell 4930003161
distance 0.204 · cross-district
#9 · Kolhapurcell 4800006231
distance 0.205
#10 · Kolhapurcell 4800006271
distance 0.207
#11 · Kolhapurcell 4800006209
distance 0.223
#12 · Sanglicell 4930003691
distance 0.227 · cross-district
#13 · Kolhapurcell 4800006298
distance 0.228
#14 · Kolhapurcell 4800006124
distance 0.229
#15 · Sanglicell 4930002309
distance 0.231 · cross-district
#16 · Kolhapurcell 4800006227
distance 0.231
#17 · Nashikcell 4870012207
distance 0.234 · cross-district
#18 · Kolhapurcell 4800006353
distance 0.235
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":480,"cluster_id":4800006299}}}'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.