Bhārata Strata · Maharashtra · Buldhana · morphological twins
Places like cell 4720007752
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 4 distinct districts
Index confidence
0.93
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.055
lower = more alike (weighted)
The twins, closest first
#1 · Buldhanacell 4720007711
distance 0.055
#2 · Buldhanacell 4720007709
distance 0.075
#3 · Buldhanacell 4720007863
distance 0.084
#4 · Buldhanacell 4720007668
distance 0.088
#5 · Akolacell 4670002127
distance 0.091 · cross-district
#6 · Buldhanacell 4720007411
distance 0.092
#7 · Buldhanacell 4720007763
distance 0.096
#8 · Akolacell 4670002776
distance 0.097 · cross-district
#9 · Buldhanacell 4720007575
distance 0.097
#10 · Buldhanacell 4720006889
distance 0.099
#11 · Amravaticell 4680002765
distance 0.1 · cross-district
#12 · Buldhanacell 4720007586
distance 0.106
#13 · Buldhanacell 4720007568
distance 0.107
#14 · Buldhanacell 4720007680
distance 0.108
#15 · Amravaticell 4680001699
distance 0.108 · cross-district
#16 · Buldhanacell 4720007673
distance 0.11
#17 · Washimcell 4990004426
distance 0.111 · cross-district
#18 · Buldhanacell 4720007869
distance 0.112
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":4720007752}}}'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.