Bhārata Strata · Maharashtra · Nanded · morphological twins
Places like cell 4850007166
The MH-36 locality cells most similar to this Nanded 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
44
morphology-v2 feature dimensions
Closest twin distance
0.091
lower = more alike (weighted)
The twins, closest first
#1 · Nandedcell 4850007163
distance 0.091
#2 · Nandedcell 4850007020
distance 0.101
#3 · Nandedcell 4850007362
distance 0.106
#4 · Nandedcell 4850007230
distance 0.114
#5 · Nandedcell 4850007167
distance 0.118
#6 · Nandedcell 4850007232
distance 0.12
#7 · Nandedcell 4850006796
distance 0.122
#8 · Nandedcell 4850007165
distance 0.126
#9 · Nandedcell 4850007022
distance 0.13
#10 · Nandedcell 4850007164
distance 0.133
#11 · Nandedcell 4850007234
distance 0.137
#12 · Yavatmalcell 5000000531
distance 0.139 · cross-district
#13 · Nandedcell 4850006938
distance 0.143
#14 · Yavatmalcell 5000000141
distance 0.144 · cross-district
#15 · Yavatmalcell 5000000145
distance 0.144 · cross-district
#16 · Yavatmalcell 5000000115
distance 0.148 · cross-district
#17 · Yavatmalcell 5000000359
distance 0.148 · cross-district
#18 · Yavatmalcell 5000000140
distance 0.148 · 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":485,"cluster_id":4850007166}}}'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.