Bhārata Strata · Maharashtra · Beed · morphological twins
Places like cell 4700006409
The MH-36 locality cells most similar to this Beed 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
0.91
GUM mean confidence of the anchor (R24)
Dimensions compared
43
morphology-v2 feature dimensions
Closest twin distance
0.147
lower = more alike (weighted)
The twins, closest first
#1 · Beedcell 4700005265
distance 0.147
#2 · Beedcell 4700006130
distance 0.157
#3 · Beedcell 4700007138
distance 0.177
#4 · Beedcell 4700004944
distance 0.188
#5 · Nashikcell 4870012028
distance 0.196 · cross-district
#6 · Nashikcell 4870011693
distance 0.196 · cross-district
#7 · Nashikcell 4870012228
distance 0.196 · cross-district
#8 · Beedcell 4700005528
distance 0.2
#9 · Beedcell 4700005411
distance 0.2
#10 · Nashikcell 4870012577
distance 0.204 · cross-district
#11 · Beedcell 4700005558
distance 0.207
#12 · Nashikcell 4870012417
distance 0.209 · cross-district
#13 · Beedcell 4700006114
distance 0.212
#14 · Beedcell 4700005947
distance 0.212
#15 · Beedcell 4700005562
distance 0.212
#16 · Nashikcell 4870011927
distance 0.214 · cross-district
#17 · Dharashivcell 4880000650
distance 0.215 · cross-district
#18 · Solapurcell 4960009566
distance 0.215 · 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":470,"cluster_id":4700006409}}}'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.