Bhārata Strata · Maharashtra · Nanded · morphological twins
Places like cell 4850006476
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 2 distinct districts
Index confidence
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.179
lower = more alike (weighted)
The twins, closest first
#1 · Nandedcell 4850006475
distance 0.179
#2 · Nandedcell 4850006311
distance 0.189
#3 · Nandedcell 4850006783
distance 0.247
#4 · Yavatmalcell 5000000170
distance 0.248 · cross-district
#5 · Yavatmalcell 5000001510
distance 0.249 · cross-district
#6 · Nandedcell 4850006228
distance 0.25
#7 · Nandedcell 4850002830
distance 0.257
#8 · Nandedcell 4850007553
distance 0.269
#9 · Nandedcell 4850006441
distance 0.272
#10 · Yavatmalcell 5000001147
distance 0.275 · cross-district
#11 · Nandedcell 4850003558
distance 0.278
#12 · Nandedcell 4850003929
distance 0.284
#13 · Nandedcell 4850005016
distance 0.285
#14 · Nandedcell 4850006859
distance 0.285
#15 · Yavatmalcell 5000000212
distance 0.286 · cross-district
#16 · Yavatmalcell 5000001511
distance 0.287 · cross-district
#17 · Yavatmalcell 5000001198
distance 0.29 · cross-district
#18 · Nandedcell 4850007063
distance 0.293
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":4850006476}}}'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.