Bhārata Strata · Maharashtra · Nanded · morphological twins
Places like cell 4850003337
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
0.047
lower = more alike (weighted)
The twins, closest first
#1 · Nandedcell 4850003339
distance 0.047
#2 · Nandedcell 4850003503
distance 0.066
#3 · Nandedcell 4850001681
distance 0.073
#4 · Parbhanicell 4890000670
distance 0.075 · cross-district
#5 · Nandedcell 4850001830
distance 0.079
#6 · Parbhanicell 4890000512
distance 0.083 · cross-district
#7 · Nandedcell 4850001606
distance 0.088
#8 · Parbhanicell 4890000726
distance 0.088 · cross-district
#9 · Nandedcell 4850003340
distance 0.09
#10 · Nandedcell 4850001754
distance 0.093
#11 · Nandedcell 4850001529
distance 0.094
#12 · Nandedcell 4850003587
distance 0.095
#13 · Parbhanicell 4890000669
distance 0.097 · cross-district
#14 · Parbhanicell 4890000727
distance 0.098 · cross-district
#15 · Nandedcell 4850002885
distance 0.099
#16 · Nandedcell 4850003585
distance 0.099
#17 · Nandedcell 4850001528
distance 0.099
#18 · Nandedcell 4850001831
distance 0.101
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":4850003337}}}'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.