Bhārata Strata · Maharashtra · Nanded · morphological twins
Places like cell 4850005500
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
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.382
lower = more alike (weighted)
The twins, closest first
#1 · Nandedcell 4850005231
distance 0.382
#2 · Nandedcell 4850002716
distance 0.411
#3 · Yavatmalcell 5000001268
distance 0.412 · cross-district
#4 · Nandedcell 4850005288
distance 0.415
#5 · Nandedcell 4850008826
distance 0.425
#6 · Nandedcell 4850006310
distance 0.432
#7 · Beedcell 4700001212
distance 0.436 · cross-district
#8 · Nashikcell 4870012696
distance 0.444 · cross-district
#9 · Nandedcell 4850003083
distance 0.446
#10 · Nandedcell 4850005474
distance 0.447
#11 · Nandedcell 4850001473
distance 0.448
#12 · Nandedcell 4850001274
distance 0.45
#13 · Nandedcell 4850005368
distance 0.451
#14 · Yavatmalcell 5000000886
distance 0.452 · cross-district
#15 · Yavatmalcell 5000001115
distance 0.455 · cross-district
#16 · Nandedcell 4850002721
distance 0.456
#17 · Dharashivcell 4880001425
distance 0.456 · cross-district
#18 · Nandedcell 4850005303
distance 0.457
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":4850005500}}}'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.