Bhārata Strata · Maharashtra · Nanded · morphological twins
Places like cell 4850007487
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
0.093
lower = more alike (weighted)
The twins, closest first
#1 · Nandedcell 4850006928
distance 0.093
#2 · Nandedcell 4850007547
distance 0.097
#3 · Yavatmalcell 5000000211
distance 0.114 · cross-district
#4 · Yavatmalcell 5000000209
distance 0.121 · cross-district
#5 · Yavatmalcell 5000000353
distance 0.123 · cross-district
#6 · Nandedcell 4850007424
distance 0.134
#7 · Nandedcell 4850006854
distance 0.135
#8 · Nandedcell 4850007005
distance 0.141
#9 · Nandedcell 4850006855
distance 0.151
#10 · Nandedcell 4850007145
distance 0.152
#11 · Nandedcell 4850007006
distance 0.157
#12 · Yavatmalcell 5000000301
distance 0.157 · cross-district
#13 · Nandedcell 4850006929
distance 0.158
#14 · Yavatmalcell 5000000081
distance 0.161 · cross-district
#15 · Yavatmalcell 5000000208
distance 0.162 · cross-district
#16 · Nandedcell 4850007545
distance 0.163
#17 · Nandedcell 4850007604
distance 0.165
#18 · Nandedcell 4850007146
distance 0.165
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":4850007487}}}'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.