Bhārata Strata · Maharashtra · Beed · morphological twins
Places like cell 4700000804
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 2 distinct districts
Index confidence
0.91
GUM mean confidence of the anchor (R24)
Dimensions compared
43
morphology-v2 feature dimensions
Closest twin distance
0.095
lower = more alike (weighted)
The twins, closest first
#1 · Beedcell 4700000806
distance 0.095
#2 · Beedcell 4700000593
distance 0.101
#3 · Dharashivcell 4880005839
distance 0.107 · cross-district
#4 · Beedcell 4700005872
distance 0.111
#5 · Beedcell 4700000331
distance 0.112
#6 · Dharashivcell 4880005480
distance 0.112 · cross-district
#7 · Dharashivcell 4880005676
distance 0.114 · cross-district
#8 · Beedcell 4700000492
distance 0.116
#9 · Beedcell 4700005424
distance 0.119
#10 · Dharashivcell 4880005387
distance 0.119 · cross-district
#11 · Dharashivcell 4880005490
distance 0.122 · cross-district
#12 · Dharashivcell 4880005384
distance 0.124 · cross-district
#13 · Dharashivcell 4880005763
distance 0.124 · cross-district
#14 · Beedcell 4700000361
distance 0.124
#15 · Beedcell 4700005871
distance 0.125
#16 · Beedcell 4700000128
distance 0.126
#17 · Beedcell 4700000024
distance 0.126
#18 · Beedcell 4700000328
distance 0.126
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":4700000804}}}'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.