Bhārata Strata · Maharashtra · Kolhapur · morphological twins
Places like cell 4800004382
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 2 distinct districts
Index confidence
0.91
GUM mean confidence of the anchor (R24)
Dimensions compared
43
morphology-v2 feature dimensions
Closest twin distance
0.132
lower = more alike (weighted)
The twins, closest first
#1 · Kolhapurcell 4800005731
distance 0.132
#2 · Kolhapurcell 4800005157
distance 0.142
#3 · Kolhapurcell 4800005069
distance 0.162
#4 · Kolhapurcell 4800004468
distance 0.168
#5 · Kolhapurcell 4800002552
distance 0.185
#6 · Ratnagiricell 4920001242
distance 0.188 · cross-district
#7 · Kolhapurcell 4800005660
distance 0.191
#8 · Kolhapurcell 4800005732
distance 0.193
#9 · Kolhapurcell 4800005067
distance 0.199
#10 · Ratnagiricell 4920001200
distance 0.208 · cross-district
#11 · Kolhapurcell 4800005412
distance 0.209
#12 · Kolhapurcell 4800005580
distance 0.21
#13 · Kolhapurcell 4800004982
distance 0.213
#14 · Kolhapurcell 4800005328
distance 0.213
#15 · Kolhapurcell 4800005333
distance 0.214
#16 · Ratnagiricell 4920000534
distance 0.214 · cross-district
#17 · Kolhapurcell 4800005799
distance 0.215
#18 · Ratnagiricell 4920000692
distance 0.216 · 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":4800004382}}}'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.