Bhārata Strata · Maharashtra · Kolhapur · morphological twins
Places like cell 4800002203
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
0.169
lower = more alike (weighted)
The twins, closest first
#1 · Kolhapurcell 4800002340
distance 0.169
#2 · Kolhapurcell 4800002049
distance 0.173
#3 · Kolhapurcell 4800002356
distance 0.175
#4 · Kolhapurcell 4800002173
distance 0.19
#5 · Kolhapurcell 4800002438
distance 0.192
#6 · Kolhapurcell 4800001666
distance 0.209
#7 · Beedcell 4700005500
distance 0.225 · cross-district
#8 · Kolhapurcell 4800002057
distance 0.228
#9 · Kolhapurcell 4800002172
distance 0.233
#10 · Ahmednagarcell 4660004454
distance 0.245 · cross-district
#11 · Kolhapurcell 4800002253
distance 0.246
#12 · Kolhapurcell 4800001943
distance 0.247
#13 · Kolhapurcell 4800001568
distance 0.252
#14 · Kolhapurcell 4800002210
distance 0.253
#15 · Ahmednagarcell 4660004548
distance 0.255 · cross-district
#16 · Ahmednagarcell 4660004547
distance 0.257 · cross-district
#17 · Kolhapurcell 4800002254
distance 0.258
#18 · Kolhapurcell 4800001667
distance 0.259
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":4800002203}}}'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.