Bhārata Strata · Maharashtra · Beed · morphological twins
Places like cell 4700001386
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
0.07
lower = more alike (weighted)
The twins, closest first
#1 · Dharashivcell 4880006039
distance 0.07 · cross-district
#2 · Beedcell 4700003020
distance 0.093
#3 · Beedcell 4700002843
distance 0.094
#4 · Beedcell 4700002833
distance 0.096
#5 · Dharashivcell 4880005705
distance 0.103 · cross-district
#6 · Beedcell 4700002673
distance 0.103
#7 · Beedcell 4700003191
distance 0.103
#8 · Ahmednagarcell 4660002233
distance 0.11 · cross-district
#9 · Beedcell 4700001690
distance 0.112
#10 · Beedcell 4700001110
distance 0.114
#11 · Ahmednagarcell 4660002618
distance 0.116 · cross-district
#12 · Beedcell 4700002171
distance 0.117
#13 · Dharashivcell 4880004590
distance 0.119 · cross-district
#14 · Beedcell 4700001544
distance 0.12
#15 · Beedcell 4700001391
distance 0.12
#16 · Beedcell 4700002007
distance 0.121
#17 · Dharashivcell 4880004757
distance 0.121 · cross-district
#18 · Dharashivcell 4880005329
distance 0.122 · 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":4700001386}}}'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.