Bhārata Strata · Maharashtra · Nanded · morphological twins
Places like cell 4850000331
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 3 distinct districts
Index confidence
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
44
morphology-v2 feature dimensions
Closest twin distance
0.076
lower = more alike (weighted)
The twins, closest first
#1 · Nandedcell 4850000529
distance 0.076
#2 · Laturcell 4810004544
distance 0.096 · cross-district
#3 · Nandedcell 4850000250
distance 0.12
#4 · Nandedcell 4850000393
distance 0.124
#5 · Nandedcell 4850000467
distance 0.126
#6 · Nandedcell 4850000688
distance 0.141
#7 · Laturcell 4810003331
distance 0.142 · cross-district
#8 · Nandedcell 4850000837
distance 0.153
#9 · Nandedcell 4850000439
distance 0.154
#10 · Nandedcell 4850000317
distance 0.154
#11 · Nandedcell 4850000330
distance 0.157
#12 · Laturcell 4810003735
distance 0.162 · cross-district
#13 · Nandedcell 4850000332
distance 0.162
#14 · Nandedcell 4850000256
distance 0.164
#15 · Laturcell 4810004649
distance 0.166 · cross-district
#16 · Laturcell 4810005208
distance 0.166 · cross-district
#17 · Washimcell 4990002903
distance 0.172 · cross-district
#18 · Laturcell 4810003437
distance 0.18 · 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":4850000331}}}'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.