Bhārata Strata · Maharashtra · Kolhapur · morphological twins
Places like cell 4800006109
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
0.196
lower = more alike (weighted)
The twins, closest first
#1 · Kolhapurcell 4800005992
distance 0.196
#2 · Sanglicell 4930001813
distance 0.22 · cross-district
#3 · Kolhapurcell 4800003794
distance 0.226
#4 · Kolhapurcell 4800006136
distance 0.231
#5 · Kolhapurcell 4800006330
distance 0.251
#6 · Kolhapurcell 4800002835
distance 0.26
#7 · Kolhapurcell 4800006107
distance 0.273
#8 · Sataracell 4940001042
distance 0.286 · cross-district
#9 · Kolhapurcell 4800005935
distance 0.287
#10 · Kolhapurcell 4800006327
distance 0.292
#11 · Kolhapurcell 4800003519
distance 0.3
#12 · Sanglicell 4930001352
distance 0.3 · cross-district
#13 · Kolhapurcell 4800006045
distance 0.303
#14 · Sanglicell 4930003334
distance 0.303 · cross-district
#15 · Kolhapurcell 4800006343
distance 0.303
#16 · Dhulecell 4740003303
distance 0.306 · cross-district
#17 · Kolhapurcell 4800006050
distance 0.311
#18 · Kolhapurcell 4800003525
distance 0.312
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":4800006109}}}'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.