Bhārata Strata · Maharashtra · Kolhapur · morphological twins
Places like cell 4800000211
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
0.89
GUM mean confidence of the anchor (R24)
Dimensions compared
42
morphology-v2 feature dimensions
Closest twin distance
0.093
lower = more alike (weighted)
The twins, closest first
#1 · Kolhapurcell 4800000212
distance 0.093
#2 · Kolhapurcell 4800000241
distance 0.101
#3 · Kolhapurcell 4800000179
distance 0.144
#4 · Kolhapurcell 4800000180
distance 0.152
#5 · Kolhapurcell 4800000242
distance 0.153
#6 · Kolhapurcell 4800000240
distance 0.162
#7 · Kolhapurcell 4800000214
distance 0.173
#8 · Kolhapurcell 4800000213
distance 0.235
#9 · Kolhapurcell 4800000181
distance 0.247
#10 · Kolhapurcell 4800000244
distance 0.261
#11 · Sindhudurgcell 4950000815
distance 0.271 · cross-district
#12 · Kolhapurcell 4800000215
distance 0.281
#13 · Kolhapurcell 4800000182
distance 0.283
#14 · Kolhapurcell 4800000216
distance 0.286
#15 · Raigadcell 4910003010
distance 0.298 · cross-district
#16 · Kolhapurcell 4800000239
distance 0.302
#17 · Sindhudurgcell 4950000272
distance 0.304 · cross-district
#18 · Sindhudurgcell 4950000814
distance 0.306 · 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":480,"cluster_id":4800000211}}}'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.