Bhārata Strata · Maharashtra · Kolhapur · morphological twins
Places like cell 4800004413
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 5 distinct districts
Index confidence
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
43
morphology-v2 feature dimensions
Closest twin distance
0.222
lower = more alike (weighted)
The twins, closest first
#1 · Kolhapurcell 4800004497
distance 0.222
#2 · Kolhapurcell 4800005373
distance 0.228
#3 · Kolhapurcell 4800004004
distance 0.24
#4 · Kolhapurcell 4800004182
distance 0.256
#5 · Kolhapurcell 4800003944
distance 0.257
#6 · Kolhapurcell 4800004184
distance 0.26
#7 · Kolhapurcell 4800004103
distance 0.264
#8 · Kolhapurcell 4800004762
distance 0.266
#9 · Kolhapurcell 4800004161
distance 0.27
#10 · Kolhapurcell 4800005015
distance 0.282
#11 · Kolhapurcell 4800005292
distance 0.291
#12 · Kolhapurcell 4800004424
distance 0.295
#13 · Sanglicell 4930000148
distance 0.298 · cross-district
#14 · Kolhapurcell 4800004016
distance 0.301
#15 · Nandedcell 4850008074
distance 0.303 · cross-district
#16 · Nandedcell 4850005682
distance 0.306 · cross-district
#17 · Solapurcell 4960005872
distance 0.31 · cross-district
#18 · Amravaticell 4680001960
distance 0.313 · 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":4800004413}}}'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.