Bhārata Strata · Maharashtra · Beed · morphological twins
Places like cell 4700008342
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 6 distinct districts
Index confidence
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
43
morphology-v2 feature dimensions
Closest twin distance
0.129
lower = more alike (weighted)
The twins, closest first
#1 · Beedcell 4700008556
distance 0.129
#2 · Beedcell 4700008887
distance 0.131
#3 · Ahmednagarcell 4660007409
distance 0.131 · cross-district
#4 · Beedcell 4700007881
distance 0.14
#5 · Beedcell 4700008066
distance 0.143
#6 · Beedcell 4700008647
distance 0.145
#7 · Beedcell 4700008638
distance 0.152
#8 · Beedcell 4700008155
distance 0.152
#9 · Beedcell 4700008130
distance 0.153
#10 · Sanglicell 4930001311
distance 0.161 · cross-district
#11 · Nandedcell 4850002584
distance 0.162 · cross-district
#12 · Beedcell 4700008064
distance 0.162
#13 · Dharashivcell 4880002493
distance 0.162 · cross-district
#14 · Buldhanacell 4720001841
distance 0.163 · cross-district
#15 · Ahmednagarcell 4660007408
distance 0.163 · cross-district
#16 · Buldhanacell 4720002488
distance 0.166 · cross-district
#17 · Beedcell 4700008340
distance 0.166
#18 · Beedcell 4700005674
distance 0.168
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":4700008342}}}'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.