Bhārata Strata · Maharashtra · Beed · morphological twins
Places like cell 4700001569
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 3 distinct districts
Index confidence
0.91
GUM mean confidence of the anchor (R24)
Dimensions compared
43
morphology-v2 feature dimensions
Closest twin distance
0.076
lower = more alike (weighted)
The twins, closest first
#1 · Beedcell 4700001269
distance 0.076
#2 · Beedcell 4700000868
distance 0.085
#3 · Dharashivcell 4880006405
distance 0.098 · cross-district
#4 · Beedcell 4700001273
distance 0.112
#5 · Beedcell 4700001120
distance 0.112
#6 · Beedcell 4700001137
distance 0.114
#7 · Beedcell 4700001128
distance 0.123
#8 · Beedcell 4700000444
distance 0.123
#9 · Beedcell 4700001111
distance 0.127
#10 · Nashikcell 4870006069
distance 0.128 · cross-district
#11 · Beedcell 4700001133
distance 0.132
#12 · Beedcell 4700001424
distance 0.133
#13 · Beedcell 4700000997
distance 0.134
#14 · Dharashivcell 4880006288
distance 0.134 · cross-district
#15 · Dharashivcell 4880006281
distance 0.135 · cross-district
#16 · Dharashivcell 4880002301
distance 0.136 · cross-district
#17 · Dharashivcell 4880006406
distance 0.137 · cross-district
#18 · Dharashivcell 4880006330
distance 0.138 · 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":4700001569}}}'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.