Bhārata Strata · Maharashtra · Hingoli · morphological twins
Places like cell 4770001502
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
0.072
lower = more alike (weighted)
The twins, closest first
#1 · Hingolicell 4770001496
distance 0.072
#2 · Hingolicell 4770001495
distance 0.077
#3 · Hingolicell 4770001086
distance 0.083
#4 · Hingolicell 4770001498
distance 0.084
#5 · Hingolicell 4770000731
distance 0.093
#6 · Hingolicell 4770001209
distance 0.095
#7 · Nandedcell 4850007853
distance 0.105 · cross-district
#8 · Nandedcell 4850007813
distance 0.107 · cross-district
#9 · Nandedcell 4850007882
distance 0.107 · cross-district
#10 · Hingolicell 4770001725
distance 0.109
#11 · Hingolicell 4770001432
distance 0.111
#12 · Hingolicell 4770001763
distance 0.111
#13 · Nandedcell 4850007816
distance 0.114 · cross-district
#14 · Nandedcell 4850007631
distance 0.115 · cross-district
#15 · Hingolicell 4770000784
distance 0.118
#16 · Hingolicell 4770001021
distance 0.118
#17 · Hingolicell 4770001501
distance 0.119
#18 · Nandedcell 4850007752
distance 0.12 · 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":4770001502}}}'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.