Bhārata Strata · Maharashtra · Kolhapur · morphological twins
Places like cell 4800005951
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
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
43
morphology-v2 feature dimensions
Closest twin distance
0.141
lower = more alike (weighted)
The twins, closest first
#1 · Kolhapurcell 4800006051
distance 0.141
#2 · Sanglicell 4930001223
distance 0.174 · cross-district
#3 · Sanglicell 4930000886
distance 0.175 · cross-district
#4 · Kolhapurcell 4800006152
distance 0.178
#5 · Sanglicell 4930000990
distance 0.182 · cross-district
#6 · Sanglicell 4930003158
distance 0.187 · cross-district
#7 · Kolhapurcell 4800006186
distance 0.192
#8 · Kolhapurcell 4800006255
distance 0.198
#9 · Kolhapurcell 4800003224
distance 0.216
#10 · Kolhapurcell 4800003369
distance 0.218
#11 · Kolhapurcell 4800006161
distance 0.219
#12 · Kolhapurcell 4800003528
distance 0.22
#13 · Kolhapurcell 4800002933
distance 0.222
#14 · Kolhapurcell 4800003266
distance 0.225
#15 · Kolhapurcell 4800002882
distance 0.225
#16 · Sanglicell 4930002644
distance 0.231 · cross-district
#17 · Kolhapurcell 4800003168
distance 0.231
#18 · Kolhapurcell 4800002732
distance 0.231
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":4800005951}}}'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.