Bhārata Strata · Maharashtra · Nanded · morphological twins
Places like cell 4850004082
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 1 distinct districts
Index confidence
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
44
morphology-v2 feature dimensions
Closest twin distance
0.07
lower = more alike (weighted)
The twins, closest first
#1 · Nandedcell 4850003300
distance 0.07
#2 · Nandedcell 4850004429
distance 0.085
#3 · Nandedcell 4850003108
distance 0.089
#4 · Nandedcell 4850003939
distance 0.095
#5 · Nandedcell 4850004695
distance 0.101
#6 · Nandedcell 4850003853
distance 0.102
#7 · Nandedcell 4850003209
distance 0.102
#8 · Nandedcell 4850004155
distance 0.11
#9 · Nandedcell 4850003021
distance 0.114
#10 · Nandedcell 4850003214
distance 0.115
#11 · Nandedcell 4850003028
distance 0.115
#12 · Nandedcell 4850003989
distance 0.117
#13 · Nandedcell 4850004083
distance 0.118
#14 · Nandedcell 4850003553
distance 0.12
#15 · Nandedcell 4850003014
distance 0.12
#16 · Nandedcell 4850002840
distance 0.12
#17 · Nandedcell 4850004433
distance 0.122
#18 · Nandedcell 4850002823
distance 0.123
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":4850004082}}}'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.