Bhārata Strata · Maharashtra · Nanded · morphological twins
Places like cell 4850000429
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 3 distinct districts
Index confidence
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.079
lower = more alike (weighted)
The twins, closest first
#1 · Nandedcell 4850000501
distance 0.079
#2 · Nandedcell 4850000330
distance 0.127
#3 · Nandedcell 4850000531
distance 0.13
#4 · Nandedcell 4850000471
distance 0.134
#5 · Laturcell 4810004444
distance 0.144 · cross-district
#6 · Nandedcell 4850000438
distance 0.144
#7 · Nandedcell 4850000208
distance 0.147
#8 · Laturcell 4810003532
distance 0.152 · cross-district
#9 · Laturcell 4810004039
distance 0.16 · cross-district
#10 · Nandedcell 4850000530
distance 0.16
#11 · Nandedcell 4850000360
distance 0.162
#12 · Nandedcell 4850000500
distance 0.164
#13 · Nandedcell 4850000783
distance 0.164
#14 · Laturcell 4810004832
distance 0.164 · cross-district
#15 · Nandedcell 4850000564
distance 0.164
#16 · Nandedcell 4850000469
distance 0.165
#17 · Laturcell 4810003739
distance 0.168 · cross-district
#18 · Washimcell 4990002305
distance 0.168 · cross-district
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":4850000429}}}'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.