Bhārata Strata · Maharashtra · Buldhana · morphological twins
Places like cell 4720002292
The MH-36 locality cells most similar to this Buldhana 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
0.93
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.035
lower = more alike (weighted)
The twins, closest first
#1 · Buldhanacell 4720002358
distance 0.035
#2 · Buldhanacell 4720002226
distance 0.04
#3 · Buldhanacell 4720001594
distance 0.041
#4 · Washimcell 4990001744
distance 0.051 · cross-district
#5 · Washimcell 4990001377
distance 0.052 · cross-district
#6 · Washimcell 4990001370
distance 0.052 · cross-district
#7 · Buldhanacell 4720002160
distance 0.053
#8 · Buldhanacell 4720001853
distance 0.055
#9 · Buldhanacell 4720002028
distance 0.058
#10 · Buldhanacell 4720001720
distance 0.059
#11 · Buldhanacell 4720002227
distance 0.061
#12 · Washimcell 4990001742
distance 0.061 · cross-district
#13 · Buldhanacell 4720002421
distance 0.062
#14 · Buldhanacell 4720001786
distance 0.062
#15 · Buldhanacell 4720001590
distance 0.062
#16 · Buldhanacell 4720002159
distance 0.062
#17 · Buldhanacell 4720001973
distance 0.062
#18 · Washimcell 4990001368
distance 0.063 · 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":472,"cluster_id":4720002292}}}'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.