Bhārata Strata · Maharashtra · Nanded · morphological twins
Places like cell 4850002835
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
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.104
lower = more alike (weighted)
The twins, closest first
#1 · Nandedcell 4850004011
distance 0.104
#2 · Nandedcell 4850002926
distance 0.109
#3 · Akolacell 4670000906
distance 0.12 · cross-district
#4 · Nandedcell 4850002927
distance 0.124
#5 · Akolacell 4670000780
distance 0.128 · cross-district
#6 · Nandedcell 4850003023
distance 0.139
#7 · Nandedcell 4850003119
distance 0.161
#8 · Nandedcell 4850007461
distance 0.163
#9 · Akolacell 4670000231
distance 0.165 · cross-district
#10 · Akolacell 4670001207
distance 0.167 · cross-district
#11 · Akolacell 4670001717
distance 0.173 · cross-district
#12 · Nandedcell 4850002295
distance 0.178
#13 · Nandedcell 4850003383
distance 0.18
#14 · Akolacell 4670001247
distance 0.182 · cross-district
#15 · Nandedcell 4850003022
distance 0.184
#16 · Nandedcell 4850002379
distance 0.184
#17 · Nandedcell 4850000778
distance 0.185
#18 · Dharashivcell 4880001156
distance 0.187 · 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":4850002835}}}'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.