Bhārata Strata · Maharashtra · Nanded · morphological twins
Places like cell 4850000611
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 5 distinct districts
Index confidence
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.133
lower = more alike (weighted)
The twins, closest first
#1 · Nandedcell 4850000345
distance 0.133
#2 · Nandedcell 4850000907
distance 0.136
#3 · Nandedcell 4850000495
distance 0.144
#4 · Nandedcell 4850000892
distance 0.148
#5 · Washimcell 4990001592
distance 0.151 · cross-district
#6 · Nandedcell 4850002660
distance 0.152
#7 · Nandedcell 4850001224
distance 0.154
#8 · Nandedcell 4850001796
distance 0.156
#9 · Nandedcell 4850001061
distance 0.156
#10 · Nandedcell 4850000945
distance 0.16
#11 · Nandedcell 4850000607
distance 0.162
#12 · Washimcell 4990002307
distance 0.163 · cross-district
#13 · Nandedcell 4850000459
distance 0.163
#14 · Akolacell 4670000412
distance 0.165 · cross-district
#15 · Dharashivcell 4880000224
distance 0.172 · cross-district
#16 · Chandrapurcell 4730000870
distance 0.173 · cross-district
#17 · Washimcell 4990000920
distance 0.175 · cross-district
#18 · Nandedcell 4850001117
distance 0.176
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":4850000611}}}'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.