Bhārata Strata · Maharashtra · Kolhapur · morphological twins
Places like cell 4800006091
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
42
morphology-v2 feature dimensions
Closest twin distance
0.093
lower = more alike (weighted)
The twins, closest first
#1 · Kolhapurcell 4800006116
distance 0.093
#2 · Ratnagiricell 4920002647
distance 0.097 · cross-district
#3 · Kolhapurcell 4800006066
distance 0.117
#4 · Kolhapurcell 4800006417
distance 0.122
#5 · Kolhapurcell 4800006063
distance 0.126
#6 · Kolhapurcell 4800006026
distance 0.13
#7 · Kolhapurcell 4800006404
distance 0.131
#8 · Kolhapurcell 4800005980
distance 0.136
#9 · Kolhapurcell 4800006117
distance 0.143
#10 · Kolhapurcell 4800006318
distance 0.147
#11 · Kolhapurcell 4800006065
distance 0.148
#12 · Ratnagiricell 4920002699
distance 0.159 · cross-district
#13 · Kolhapurcell 4800006393
distance 0.161
#14 · Kolhapurcell 4800006142
distance 0.162
#15 · Ratnagiricell 4920002802
distance 0.163 · cross-district
#16 · Ratnagiricell 4920002751
distance 0.163 · cross-district
#17 · Kolhapurcell 4800006317
distance 0.164
#18 · Kolhapurcell 4800005981
distance 0.169
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":4800006091}}}'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.