Bhārata Strata · Maharashtra · Kolhapur · morphological twins
Places like cell 4800004932
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 4 distinct districts
Index confidence
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
43
morphology-v2 feature dimensions
Closest twin distance
0.083
lower = more alike (weighted)
The twins, closest first
#1 · Kolhapurcell 4800004088
distance 0.083
#2 · Kolhapurcell 4800004498
distance 0.182
#3 · Kolhapurcell 4800005102
distance 0.208
#4 · Kolhapurcell 4800004500
distance 0.219
#5 · Kolhapurcell 4800004587
distance 0.225
#6 · Kolhapurcell 4800004927
distance 0.225
#7 · Kolhapurcell 4800005018
distance 0.234
#8 · Kolhapurcell 4800004863
distance 0.234
#9 · Kolhapurcell 4800004845
distance 0.238
#10 · Kolhapurcell 4800004605
distance 0.245
#11 · Parbhanicell 4890002924
distance 0.25 · cross-district
#12 · Parbhanicell 4890003319
distance 0.251 · cross-district
#13 · Kolhapurcell 4800005111
distance 0.262
#14 · Laturcell 4810001746
distance 0.265 · cross-district
#15 · Kolhapurcell 4800003948
distance 0.265
#16 · Kolhapurcell 4800003858
distance 0.265
#17 · Kolhapurcell 4800002531
distance 0.266
#18 · Solapurcell 4960010734
distance 0.274 · 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":4800004932}}}'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.