Bhārata Strata · Maharashtra · Kolhapur · morphological twins
Places like cell 4800005846
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 2 distinct districts
Index confidence
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
43
morphology-v2 feature dimensions
Closest twin distance
0.098
lower = more alike (weighted)
The twins, closest first
#1 · Kolhapurcell 4800005845
distance 0.098
#2 · Kolhapurcell 4800005549
distance 0.138
#3 · Kolhapurcell 4800005706
distance 0.169
#4 · Kolhapurcell 4800005632
distance 0.205
#5 · Kolhapurcell 4800005631
distance 0.21
#6 · Kolhapurcell 4800005380
distance 0.215
#7 · Kolhapurcell 4800005203
distance 0.223
#8 · Kolhapurcell 4800005464
distance 0.228
#9 · Kolhapurcell 4800005378
distance 0.235
#10 · Chhatrapati Sambhajinagarcell 4690002343
distance 0.241 · cross-district
#11 · Kolhapurcell 4800005114
distance 0.245
#12 · Kolhapurcell 4800005198
distance 0.248
#13 · Kolhapurcell 4800005546
distance 0.255
#14 · Kolhapurcell 4800004854
distance 0.257
#15 · Kolhapurcell 4800005110
distance 0.258
#16 · Kolhapurcell 4800005707
distance 0.266
#17 · Kolhapurcell 4800005777
distance 0.266
#18 · Chhatrapati Sambhajinagarcell 4690002129
distance 0.266 · 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":4800005846}}}'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.