Bhārata Strata · Maharashtra · Kolhapur · morphological twins
Places like cell 4800001274
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
0.195
lower = more alike (weighted)
The twins, closest first
#1 · Kolhapurcell 4800001270
distance 0.195
#2 · Kolhapurcell 4800001608
distance 0.238
#3 · Kolhapurcell 4800001465
distance 0.256
#4 · Kolhapurcell 4800002026
distance 0.259
#5 · Beedcell 4700003668
distance 0.264 · cross-district
#6 · Kolhapurcell 4800001775
distance 0.268
#7 · Kolhapurcell 4800001276
distance 0.27
#8 · Kolhapurcell 4800001498
distance 0.273
#9 · Kolhapurcell 4800001321
distance 0.273
#10 · Kolhapurcell 4800002486
distance 0.275
#11 · Kolhapurcell 4800002220
distance 0.276
#12 · Chhatrapati Sambhajinagarcell 4690000610
distance 0.277 · cross-district
#13 · Kolhapurcell 4800002354
distance 0.279
#14 · Kolhapurcell 4800002059
distance 0.28
#15 · Buldhanacell 4720001495
distance 0.28 · cross-district
#16 · Kolhapurcell 4800001607
distance 0.28
#17 · Beedcell 4700005037
distance 0.282 · cross-district
#18 · Kolhapurcell 4800001579
distance 0.282
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":4800001274}}}'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.