Bhārata Strata · Maharashtra · Hingoli · morphological twins
Places like cell 4770000122
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
0.07
lower = more alike (weighted)
The twins, closest first
#1 · Hingolicell 4770000121
distance 0.07
#2 · Hingolicell 4770000072
distance 0.079
#3 · Hingolicell 4770000001
distance 0.086
#4 · Hingolicell 4770000214
distance 0.096
#5 · Hingolicell 4770000343
distance 0.097
#6 · Hingolicell 4770000215
distance 0.098
#7 · Hingolicell 4770000015
distance 0.103
#8 · Hingolicell 4770000211
distance 0.105
#9 · Hingolicell 4770000098
distance 0.109
#10 · Hingolicell 4770000302
distance 0.112
#11 · Hingolicell 4770000340
distance 0.126
#12 · Hingolicell 4770000221
distance 0.133
#13 · Parbhanicell 4890001382
distance 0.135 · cross-district
#14 · Hingolicell 4770000095
distance 0.136
#15 · Nandedcell 4850003899
distance 0.142 · cross-district
#16 · Parbhanicell 4890000427
distance 0.143 · cross-district
#17 · Parbhanicell 4890001063
distance 0.144 · cross-district
#18 · Nandedcell 4850003676
distance 0.144 · 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":4770000122}}}'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.