Bhārata Strata · Maharashtra · Kolhapur · morphological twins
Places like cell 4800003944
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
0.128
lower = more alike (weighted)
The twins, closest first
#1 · Kolhapurcell 4800004424
distance 0.128
#2 · Kolhapurcell 4800004180
distance 0.173
#3 · Kolhapurcell 4800004242
distance 0.184
#4 · Kolhapurcell 4800005292
distance 0.194
#5 · Sanglicell 4930000469
distance 0.201 · cross-district
#6 · Kolhapurcell 4800004004
distance 0.204
#7 · Kolhapurcell 4800004184
distance 0.207
#8 · Laturcell 4810003362
distance 0.233 · cross-district
#9 · Kolhapurcell 4800004675
distance 0.238
#10 · Sanglicell 4930002536
distance 0.242 · cross-district
#11 · Kolhapurcell 4800004103
distance 0.243
#12 · Kolhapurcell 4800005028
distance 0.245
#13 · Kolhapurcell 4800005376
distance 0.246
#14 · Kolhapurcell 4800005373
distance 0.247
#15 · Jalnacell 4790004130
distance 0.248 · cross-district
#16 · Laturcell 4810000471
distance 0.248 · cross-district
#17 · Kolhapurcell 4800004161
distance 0.255
#18 · Kolhapurcell 4800004413
distance 0.257
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":4800003944}}}'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.