Bhārata Strata · Maharashtra · Kolhapur · morphological twins
Places like cell 4800006266
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
0.126
lower = more alike (weighted)
The twins, closest first
#1 · Kolhapurcell 4800006249
distance 0.126
#2 · Kolhapurcell 4800006134
distance 0.156
#3 · Sanglicell 4930001653
distance 0.158 · cross-district
#4 · Kolhapurcell 4800006388
distance 0.161
#5 · Sanglicell 4930001499
distance 0.17 · cross-district
#6 · Kolhapurcell 4800006203
distance 0.18
#7 · Kolhapurcell 4800006156
distance 0.199
#8 · Kolhapurcell 4800005947
distance 0.203
#9 · Kolhapurcell 4800005933
distance 0.21
#10 · Kolhapurcell 4800006111
distance 0.211
#11 · Kolhapurcell 4800005948
distance 0.211
#12 · Kolhapurcell 4800006184
distance 0.217
#13 · Kolhapurcell 4800006180
distance 0.221
#14 · Sanglicell 4930001814
distance 0.223 · cross-district
#15 · Sataracell 4940000001
distance 0.23 · cross-district
#16 · Kolhapurcell 4800006204
distance 0.238
#17 · Sataracell 4940000010
distance 0.241 · cross-district
#18 · Kolhapurcell 4800006157
distance 0.241
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":4800006266}}}'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.