Bhārata Strata · Maharashtra · Nanded · morphological twins
Places like cell 4850008463
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
0.203
lower = more alike (weighted)
The twins, closest first
#1 · Nandedcell 4850008073
distance 0.203
#2 · Nandedcell 4850008936
distance 0.233
#3 · Beedcell 4700008876
distance 0.238 · cross-district
#4 · Washimcell 4990001837
distance 0.242 · cross-district
#5 · Nandedcell 4850007176
distance 0.244
#6 · Yavatmalcell 5000000875
distance 0.248 · cross-district
#7 · Nandedcell 4850008564
distance 0.256
#8 · Laturcell 4810005842
distance 0.258 · cross-district
#9 · Beedcell 4700008570
distance 0.259 · cross-district
#10 · Nandedcell 4850008806
distance 0.261
#11 · Nandedcell 4850007799
distance 0.264
#12 · Nandedcell 4850008625
distance 0.269
#13 · Nandedcell 4850008389
distance 0.27
#14 · Beedcell 4700004804
distance 0.275 · cross-district
#15 · Nandedcell 4850004923
distance 0.275
#16 · Nagpurcell 4840006742
distance 0.276 · cross-district
#17 · Nandedcell 4850005600
distance 0.281
#18 · Nandedcell 4850006095
distance 0.282
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":4850008463}}}'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.