Bhārata Strata · Maharashtra · Hingoli · morphological twins
Places like cell 4770000214
The MH-36 locality cells most similar to this Hingoli 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 3 distinct districts
Index confidence
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.068
lower = more alike (weighted)
The twins, closest first
#1 · Hingolicell 4770000211
distance 0.068
#2 · Hingolicell 4770000343
distance 0.08
#3 · Hingolicell 4770000001
distance 0.09
#4 · Hingolicell 4770000221
distance 0.093
#5 · Hingolicell 4770000122
distance 0.096
#6 · Hingolicell 4770000098
distance 0.098
#7 · Hingolicell 4770000121
distance 0.1
#8 · Hingolicell 4770000015
distance 0.106
#9 · Hingolicell 4770000095
distance 0.111
#10 · Hingolicell 4770000302
distance 0.113
#11 · Hingolicell 4770000072
distance 0.116
#12 · Nandedcell 4850004118
distance 0.12 · cross-district
#13 · Nandedcell 4850004249
distance 0.121 · cross-district
#14 · Nandedcell 4850004042
distance 0.124 · cross-district
#15 · Parbhanicell 4890001193
distance 0.13 · cross-district
#16 · Parbhanicell 4890001258
distance 0.131 · cross-district
#17 · Hingolicell 4770000097
distance 0.132
#18 · Nandedcell 4850004254
distance 0.133 · 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":477,"cluster_id":4770000214}}}'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.