Bhārata Strata · Maharashtra · Nanded · morphological twins
Places like cell 4850000664
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 3 distinct districts
Index confidence
0.91
GUM mean confidence of the anchor (R24)
Dimensions compared
44
morphology-v2 feature dimensions
Closest twin distance
0.106
lower = more alike (weighted)
The twins, closest first
#1 · Nandedcell 4850000328
distance 0.106
#2 · Nandedcell 4850000712
distance 0.114
#3 · Washimcell 4990002242
distance 0.115 · cross-district
#4 · Nandedcell 4850000764
distance 0.121
#5 · Washimcell 4990001426
distance 0.136 · cross-district
#6 · Nandedcell 4850000759
distance 0.14
#7 · Washimcell 4990002573
distance 0.144 · cross-district
#8 · Nandedcell 4850001069
distance 0.144
#9 · Nandedcell 4850000187
distance 0.145
#10 · Nandedcell 4850002649
distance 0.147
#11 · Nandedcell 4850000188
distance 0.147
#12 · Washimcell 4990002220
distance 0.149 · cross-district
#13 · Nandedcell 4850000713
distance 0.149
#14 · Nandedcell 4850000206
distance 0.149
#15 · Washimcell 4990003822
distance 0.149 · cross-district
#16 · Washimcell 4990004180
distance 0.15 · cross-district
#17 · Nandedcell 4850000486
distance 0.15
#18 · Jalnacell 4790000745
distance 0.152 · 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":4850000664}}}'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.