Bhārata Strata · Maharashtra · Nanded · morphological twins
Places like cell 4850000717
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
0.094
lower = more alike (weighted)
The twins, closest first
#1 · Nandedcell 4850000620
distance 0.094
#2 · Nandedcell 4850001497
distance 0.114
#3 · Nandedcell 4850002030
distance 0.115
#4 · Nandedcell 4850000663
distance 0.118
#5 · Beedcell 4700005438
distance 0.128 · cross-district
#6 · Nandedcell 4850000587
distance 0.135
#7 · Nandedcell 4850001185
distance 0.138
#8 · Washimcell 4990002045
distance 0.14 · cross-district
#9 · Nandedcell 4850001013
distance 0.14
#10 · Nandedcell 4850001866
distance 0.142
#11 · Nandedcell 4850001498
distance 0.15
#12 · Nandedcell 4850000803
distance 0.152
#13 · Beedcell 4700006560
distance 0.153 · cross-district
#14 · Dharashivcell 4880000865
distance 0.155 · cross-district
#15 · Beedcell 4700000328
distance 0.155 · cross-district
#16 · Nandedcell 4850000294
distance 0.156
#17 · Beedcell 4700007150
distance 0.156 · cross-district
#18 · Yavatmalcell 5000010467
distance 0.156 · 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":4850000717}}}'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.