Bhārata Strata · Maharashtra · Kolhapur · morphological twins
Places like cell 4800004018
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
43
morphology-v2 feature dimensions
Closest twin distance
0.152
lower = more alike (weighted)
The twins, closest first
#1 · Kolhapurcell 4800004243
distance 0.152
#2 · Kolhapurcell 4800004690
distance 0.176
#3 · Kolhapurcell 4800004327
distance 0.178
#4 · Kolhapurcell 4800004324
distance 0.18
#5 · Kolhapurcell 4800003928
distance 0.184
#6 · Kolhapurcell 4800004948
distance 0.191
#7 · Kolhapurcell 4800004410
distance 0.197
#8 · Kolhapurcell 4800004844
distance 0.2
#9 · Kolhapurcell 4800004087
distance 0.205
#10 · Laturcell 4810002476
distance 0.206 · cross-district
#11 · Sanglicell 4930000524
distance 0.209 · cross-district
#12 · Kolhapurcell 4800003945
distance 0.21
#13 · Laturcell 4810002566
distance 0.211 · cross-district
#14 · Kolhapurcell 4800004005
distance 0.212
#15 · Sanglicell 4930000488
distance 0.213 · cross-district
#16 · Laturcell 4810002565
distance 0.216 · cross-district
#17 · Kolhapurcell 4800004850
distance 0.217
#18 · Kolhapurcell 4800004947
distance 0.218
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":4800004018}}}'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.