Bhārata Strata · Maharashtra · Beed · morphological twins
Places like cell 4700006809
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
0.141
lower = more alike (weighted)
The twins, closest first
#1 · Beedcell 4700004732
distance 0.141
#2 · Ahmednagarcell 4660001092
distance 0.15 · cross-district
#3 · Dharashivcell 4880006326
distance 0.157 · cross-district
#4 · Beedcell 4700005096
distance 0.158
#5 · Beedcell 4700000999
distance 0.158
#6 · Beedcell 4700006129
distance 0.159
#7 · Beedcell 4700005109
distance 0.162
#8 · Washimcell 4990002018
distance 0.162 · cross-district
#9 · Beedcell 4700005676
distance 0.166
#10 · Ahmednagarcell 4660000999
distance 0.168 · cross-district
#11 · Beedcell 4700006672
distance 0.168
#12 · Dharashivcell 4880006431
distance 0.17 · cross-district
#13 · Beedcell 4700001572
distance 0.173
#14 · Beedcell 4700004589
distance 0.181
#15 · Beedcell 4700005690
distance 0.181
#16 · Ahmednagarcell 4660013794
distance 0.181 · cross-district
#17 · Washimcell 4990002109
distance 0.182 · cross-district
#18 · Beedcell 4700006683
distance 0.183
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":4700006809}}}'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.