Bhārata Strata · Maharashtra · Nanded · morphological twins
Places like cell 4850004345
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 6 distinct districts
Index confidence
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.126
lower = more alike (weighted)
The twins, closest first
#1 · Nandedcell 4850003861
distance 0.126
#2 · Nandedcell 4850004208
distance 0.139
#3 · Nandedcell 4850003860
distance 0.151
#4 · Nandedcell 4850003106
distance 0.194
#5 · Nandedcell 4850004220
distance 0.207
#6 · Nandedcell 4850004001
distance 0.221
#7 · Nandedcell 4850003999
distance 0.227
#8 · Parbhanicell 4890001709
distance 0.236 · cross-district
#9 · Nandedcell 4850004140
distance 0.241
#10 · Nandedcell 4850004207
distance 0.244
#11 · Nandedcell 4850004589
distance 0.252
#12 · Nandedcell 4850003476
distance 0.257
#13 · Nandedcell 4850004609
distance 0.259
#14 · Punecell 4900002059
distance 0.259 · cross-district
#15 · Ahmednagarcell 4660005562
distance 0.26 · cross-district
#16 · Nandedcell 4850000020
distance 0.261
#17 · Chhatrapati Sambhajinagarcell 4690000780
distance 0.264 · cross-district
#18 · Jalgaoncell 4780003931
distance 0.266 · 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":4850004345}}}'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.