Bhārata Strata · Maharashtra · Buldhana · morphological twins
Places like cell 4720002986
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
44
morphology-v2 feature dimensions
Closest twin distance
0.08
lower = more alike (weighted)
The twins, closest first
#1 · Buldhanacell 4720002614
distance 0.08
#2 · Buldhanacell 4720002350
distance 0.091
#3 · Buldhanacell 4720002489
distance 0.096
#4 · Buldhanacell 4720002029
distance 0.104
#5 · Washimcell 4990001464
distance 0.107 · cross-district
#6 · Buldhanacell 4720002286
distance 0.116
#7 · Buldhanacell 4720002680
distance 0.119
#8 · Washimcell 4990001643
distance 0.119 · cross-district
#9 · Buldhanacell 4720002684
distance 0.122
#10 · Washimcell 4990001738
distance 0.123 · cross-district
#11 · Buldhanacell 4720002988
distance 0.124
#12 · Buldhanacell 4720002685
distance 0.124
#13 · Buldhanacell 4720002420
distance 0.126
#14 · Washimcell 4990001650
distance 0.129 · cross-district
#15 · Buldhanacell 4720002349
distance 0.129
#16 · Buldhanacell 4720002228
distance 0.13
#17 · Buldhanacell 4720001718
distance 0.13
#18 · Washimcell 4990002013
distance 0.132 · 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":4720002986}}}'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.