Bhārata Strata · Maharashtra · Nanded · morphological twins
Places like cell 4850003489
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
45
morphology-v2 feature dimensions
Closest twin distance
0.164
lower = more alike (weighted)
The twins, closest first
#1 · Nandedcell 4850002863
distance 0.164
#2 · Nandedcell 4850003406
distance 0.166
#3 · Nandedcell 4850003735
distance 0.167
#4 · Nandedcell 4850004716
distance 0.179
#5 · Nandedcell 4850003718
distance 0.18
#6 · Nandedcell 4850004577
distance 0.183
#7 · Nandedcell 4850006207
distance 0.193
#8 · Nandedcell 4850003726
distance 0.194
#9 · Nandedcell 4850003411
distance 0.198
#10 · Nandedcell 4850006210
distance 0.2
#11 · Nandedcell 4850006206
distance 0.2
#12 · Nandedcell 4850002957
distance 0.207
#13 · Nandedcell 4850006373
distance 0.208
#14 · Nandedcell 4850006689
distance 0.211
#15 · Nandedcell 4850004568
distance 0.214
#16 · Nandedcell 4850005107
distance 0.218
#17 · Nandedcell 4850006548
distance 0.22
#18 · Nandedcell 4850006203
distance 0.222
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":4850003489}}}'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.