Bhārata Strata · Maharashtra · Nanded · morphological twins
Places like cell 4850006149
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
0.189
lower = more alike (weighted)
The twins, closest first
#1 · Nandedcell 4850006150
distance 0.189
#2 · Nandedcell 4850006710
distance 0.231
#3 · Nandedcell 4850006164
distance 0.233
#4 · Yavatmalcell 5000000052
distance 0.249 · cross-district
#5 · Nandedcell 4850006641
distance 0.249
#6 · Nandedcell 4850005829
distance 0.272
#7 · Nandedcell 4850004824
distance 0.286
#8 · Nandedcell 4850005989
distance 0.287
#9 · Nandedcell 4850006246
distance 0.288
#10 · Yavatmalcell 5000000358
distance 0.292 · cross-district
#11 · Nandedcell 4850005824
distance 0.293
#12 · Nandedcell 4850006714
distance 0.298
#13 · Sataracell 4940001413
distance 0.301 · cross-district
#14 · Nandedcell 4850006559
distance 0.304
#15 · Nandedcell 4850006632
distance 0.304
#16 · Gadchirolicell 4750000404
distance 0.305 · cross-district
#17 · Sataracell 4940001648
distance 0.305 · cross-district
#18 · Kolhapurcell 4800003049
distance 0.306 · 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":4850006149}}}'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.