Bhārata Strata · Maharashtra · Nanded · morphological twins
Places like cell 4850007539
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
0.046
lower = more alike (weighted)
The twins, closest first
#1 · Nandedcell 4850007590
distance 0.046
#2 · Nandedcell 4850007595
distance 0.053
#3 · Nandedcell 4850007536
distance 0.061
#4 · Nandedcell 4850006905
distance 0.061
#5 · Nandedcell 4850007477
distance 0.061
#6 · Nandedcell 4850007639
distance 0.063
#7 · Nandedcell 4850007594
distance 0.064
#8 · Nandedcell 4850007537
distance 0.067
#9 · Yavatmalcell 5000000295
distance 0.069 · cross-district
#10 · Nandedcell 4850007470
distance 0.072
#11 · Yavatmalcell 5000000292
distance 0.072 · cross-district
#12 · Yavatmalcell 5000000450
distance 0.072 · cross-district
#13 · Yavatmalcell 5000000446
distance 0.073 · cross-district
#14 · Yavatmalcell 5000000389
distance 0.073 · cross-district
#15 · Nandedcell 4850007413
distance 0.077
#16 · Nandedcell 4850007273
distance 0.077
#17 · Nandedcell 4850006753
distance 0.078
#18 · Yavatmalcell 5000000289
distance 0.079 · 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":4850007539}}}'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.