Bhārata Strata · Maharashtra · Nanded · morphological twins
Places like cell 4850008941
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 6 distinct districts
Index confidence
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.101
lower = more alike (weighted)
The twins, closest first
#1 · Nandedcell 4850008671
distance 0.101
#2 · Nandedcell 4850008046
distance 0.132
#3 · Nandedcell 4850008819
distance 0.155
#4 · Nandedcell 4850007616
distance 0.167
#5 · Nandedcell 4850007740
distance 0.169
#6 · Nagpurcell 4840006647
distance 0.178 · cross-district
#7 · Nandedcell 4850008708
distance 0.183
#8 · Nandedcell 4850008047
distance 0.192
#9 · Nandedcell 4850007800
distance 0.196
#10 · Yavatmalcell 5000000938
distance 0.197 · cross-district
#11 · Nandedcell 4850008258
distance 0.197
#12 · Beedcell 4700007466
distance 0.204 · cross-district
#13 · Buldhanacell 4720002759
distance 0.204 · cross-district
#14 · Nandedcell 4850007733
distance 0.206
#15 · Parbhanicell 4890000350
distance 0.208 · cross-district
#16 · Nandedcell 4850008255
distance 0.209
#17 · Beedcell 4700008886
distance 0.21 · cross-district
#18 · Nandedcell 4850008517
distance 0.215
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":4850008941}}}'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.