Bhārata Strata · Maharashtra · Nanded · morphological twins
Places like cell 4850003550
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
45
morphology-v2 feature dimensions
Closest twin distance
0.117
lower = more alike (weighted)
The twins, closest first
#1 · Nandedcell 4850003018
distance 0.117
#2 · Nandedcell 4850003372
distance 0.122
#3 · Akolacell 4670001253
distance 0.128 · cross-district
#4 · Nandedcell 4850003709
distance 0.133
#5 · Nandedcell 4850003107
distance 0.134
#6 · Nandedcell 4850003548
distance 0.143
#7 · Nandedcell 4850003628
distance 0.146
#8 · Nandedcell 4850003545
distance 0.148
#9 · Nandedcell 4850004556
distance 0.15
#10 · Nandedcell 4850002924
distance 0.155
#11 · Akolacell 4670001195
distance 0.157 · cross-district
#12 · Akolacell 4670001577
distance 0.158 · cross-district
#13 · Nandedcell 4850003544
distance 0.161
#14 · Akolacell 4670001311
distance 0.161 · cross-district
#15 · Nandedcell 4850003707
distance 0.163
#16 · Akolacell 4670001726
distance 0.163 · cross-district
#17 · Akolacell 4670000905
distance 0.164 · cross-district
#18 · Akolacell 4670001084
distance 0.166 · 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":4850003550}}}'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.