Bhārata Strata · Maharashtra · Buldhana · morphological twins
Places like cell 4720004375
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 3 distinct districts
Index confidence
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.159
lower = more alike (weighted)
The twins, closest first
#1 · Buldhanacell 4720003631
distance 0.159
#2 · Buldhanacell 4720005050
distance 0.171
#3 · Buldhanacell 4720004652
distance 0.178
#4 · Buldhanacell 4720003838
distance 0.183
#5 · Amravaticell 4680004913
distance 0.186 · cross-district
#6 · Buldhanacell 4720003490
distance 0.187
#7 · Buldhanacell 4720004137
distance 0.192
#8 · Buldhanacell 4720003173
distance 0.198
#9 · Buldhanacell 4720003307
distance 0.204
#10 · Buldhanacell 4720003234
distance 0.205
#11 · Akolacell 4670002853
distance 0.208 · cross-district
#12 · Buldhanacell 4720006256
distance 0.213
#13 · Akolacell 4670004440
distance 0.215 · cross-district
#14 · Buldhanacell 4720004731
distance 0.219
#15 · Akolacell 4670000180
distance 0.219 · cross-district
#16 · Buldhanacell 4720003157
distance 0.22
#17 · Buldhanacell 4720003790
distance 0.221
#18 · Amravaticell 4680001068
distance 0.222 · 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":4720004375}}}'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.