Bhārata Strata · Maharashtra · Nanded · morphological twins
Places like cell 4850008012
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
0.088
lower = more alike (weighted)
The twins, closest first
#1 · Nandedcell 4850007986
distance 0.088
#2 · Nandedcell 4850008011
distance 0.09
#3 · Hingolicell 4770001764
distance 0.106 · cross-district
#4 · Hingolicell 4770001836
distance 0.109 · cross-district
#5 · Nandedcell 4850007781
distance 0.112
#6 · Nandedcell 4850007988
distance 0.115
#7 · Nandedcell 4850007962
distance 0.116
#8 · Nandedcell 4850007987
distance 0.12
#9 · Nandedcell 4850007750
distance 0.12
#10 · Nandedcell 4850007874
distance 0.123
#11 · Hingolicell 4770003663
distance 0.124 · cross-district
#12 · Hingolicell 4770003547
distance 0.128 · cross-district
#13 · Hingolicell 4770001375
distance 0.129 · cross-district
#14 · Hingolicell 4770001763
distance 0.13 · cross-district
#15 · Nandedcell 4850007782
distance 0.131
#16 · Nandedcell 4850007842
distance 0.135
#17 · Nandedcell 4850007937
distance 0.139
#18 · Nandedcell 4850007747
distance 0.14
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":4850008012}}}'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.