Bhārata Strata · Maharashtra · Hingoli · morphological twins
Places like cell 4770001953
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 2 distinct districts
Index confidence
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.067
lower = more alike (weighted)
The twins, closest first
#1 · Hingolicell 4770001896
distance 0.067
#2 · Hingolicell 4770002018
distance 0.068
#3 · Nandedcell 4850008010
distance 0.07 · cross-district
#4 · Hingolicell 4770001956
distance 0.075
#5 · Hingolicell 4770002013
distance 0.079
#6 · Hingolicell 4770000815
distance 0.082
#7 · Hingolicell 4770000756
distance 0.083
#8 · Hingolicell 4770000705
distance 0.084
#9 · Nandedcell 4850007984
distance 0.084 · cross-district
#10 · Hingolicell 4770000755
distance 0.084
#11 · Hingolicell 4770000753
distance 0.086
#12 · Nandedcell 4850008017
distance 0.091 · cross-district
#13 · Nandedcell 4850007985
distance 0.094 · cross-district
#14 · Hingolicell 4770000600
distance 0.102
#15 · Nandedcell 4850008059
distance 0.104 · cross-district
#16 · Hingolicell 4770001839
distance 0.105
#17 · Hingolicell 4770000706
distance 0.106
#18 · Nandedcell 4850007960
distance 0.106 · 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":4770001953}}}'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.