Bhārata Strata · Maharashtra · Hingoli · morphological twins
Places like cell 4770001760
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 4 distinct districts
Index confidence
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.09
lower = more alike (weighted)
The twins, closest first
#1 · Hingolicell 4770001715
distance 0.09
#2 · Hingolicell 4770000954
distance 0.09
#3 · Hingolicell 4770001755
distance 0.101
#4 · Hingolicell 4770000994
distance 0.106
#5 · Hingolicell 4770002335
distance 0.106
#6 · Hingolicell 4770001948
distance 0.106
#7 · Hingolicell 4770001716
distance 0.112
#8 · Hingolicell 4770002139
distance 0.115
#9 · Hingolicell 4770001647
distance 0.116
#10 · Hingolicell 4770002199
distance 0.116
#11 · Yavatmalcell 5000001182
distance 0.116 · cross-district
#12 · Hingolicell 4770003813
distance 0.121
#13 · Yavatmalcell 5000001132
distance 0.121 · cross-district
#14 · Hingolicell 4770000777
distance 0.121
#15 · Washimcell 4990002570
distance 0.121 · cross-district
#16 · Yavatmalcell 5000002366
distance 0.123 · cross-district
#17 · Nandedcell 4850000392
distance 0.123 · cross-district
#18 · Hingolicell 4770003534
distance 0.126
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":4770001760}}}'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.