Bhārata Strata · Maharashtra · Nanded · morphological twins
Places like cell 4850004451
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 4 distinct districts
Index confidence
0.91
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.182
lower = more alike (weighted)
The twins, closest first
#1 · Nandedcell 4850004787
distance 0.182
#2 · Nandedcell 4850006628
distance 0.244
#3 · Dharashivcell 4880005249
distance 0.253 · cross-district
#4 · Nandedcell 4850007448
distance 0.256
#5 · Beedcell 4700008506
distance 0.262 · cross-district
#6 · Nandedcell 4850003655
distance 0.264
#7 · Nandedcell 4850007314
distance 0.266
#8 · Nandedcell 4850003603
distance 0.268
#9 · Nandedcell 4850006912
distance 0.27
#10 · Dharashivcell 4880004238
distance 0.278 · cross-district
#11 · Hingolicell 4770000115
distance 0.28 · cross-district
#12 · Hingolicell 4770000006
distance 0.281 · cross-district
#13 · Nandedcell 4850005851
distance 0.283
#14 · Nandedcell 4850005194
distance 0.285
#15 · Nandedcell 4850003330
distance 0.286
#16 · Dharashivcell 4880004405
distance 0.286 · cross-district
#17 · Nandedcell 4850004989
distance 0.287
#18 · Nandedcell 4850004807
distance 0.289
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":4850004451}}}'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.