Bhārata Strata · Maharashtra · Nanded · morphological twins
Places like cell 4850008274
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 5 distinct districts
Index confidence
0.91
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.154
lower = more alike (weighted)
The twins, closest first
#1 · Nandedcell 4850008217
distance 0.154
#2 · Nandedcell 4850008933
distance 0.168
#3 · Nandedcell 4850008246
distance 0.186
#4 · Nandedcell 4850008026
distance 0.186
#5 · Nandedcell 4850008079
distance 0.201
#6 · Nandedcell 4850008292
distance 0.206
#7 · Nandedcell 4850008471
distance 0.214
#8 · Hingolicell 4770000344
distance 0.216 · cross-district
#9 · Beedcell 4700004984
distance 0.218 · cross-district
#10 · Hingolicell 4770000296
distance 0.22 · cross-district
#11 · Nandedcell 4850003197
distance 0.221
#12 · Nandedcell 4850008295
distance 0.232
#13 · Beedcell 4700007679
distance 0.236 · cross-district
#14 · Nandedcell 4850005257
distance 0.239
#15 · Nandedcell 4850005388
distance 0.243
#16 · Ahmednagarcell 4660005759
distance 0.244 · cross-district
#17 · Nandedcell 4850004121
distance 0.244
#18 · Nagpurcell 4840007720
distance 0.246 · 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":4850008274}}}'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.