Bhārata Strata · Maharashtra · Nanded · morphological twins
Places like cell 4850007421
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
0.036
lower = more alike (weighted)
The twins, closest first
#1 · Nandedcell 4850007352
distance 0.036
#2 · Nandedcell 4850007283
distance 0.072
#3 · Yavatmalcell 5000000256
distance 0.096 · cross-district
#4 · Yavatmalcell 5000000257
distance 0.108 · cross-district
#5 · Nandedcell 4850007150
distance 0.108
#6 · Yavatmalcell 5000000168
distance 0.108 · cross-district
#7 · Nandedcell 4850007151
distance 0.115
#8 · Nandedcell 4850007422
distance 0.116
#9 · Nandedcell 4850007214
distance 0.116
#10 · Yavatmalcell 5000000462
distance 0.122 · cross-district
#11 · Nandedcell 4850007353
distance 0.123
#12 · Nandedcell 4850007488
distance 0.126
#13 · Nandedcell 4850007001
distance 0.126
#14 · Yavatmalcell 5000000172
distance 0.128 · cross-district
#15 · Nandedcell 4850007081
distance 0.128
#16 · Nandedcell 4850006921
distance 0.133
#17 · Yavatmalcell 5000000259
distance 0.133 · cross-district
#18 · Nandedcell 4850007216
distance 0.134
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":4850007421}}}'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.