Bhārata Strata · Maharashtra · Beed · morphological twins
Places like cell 4700005465
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
0.91
GUM mean confidence of the anchor (R24)
Dimensions compared
43
morphology-v2 feature dimensions
Closest twin distance
0.12
lower = more alike (weighted)
The twins, closest first
#1 · Beedcell 4700006165
distance 0.12
#2 · Beedcell 4700005754
distance 0.135
#3 · Beedcell 4700006323
distance 0.135
#4 · Beedcell 4700005155
distance 0.137
#5 · Beedcell 4700008091
distance 0.138
#6 · Beedcell 4700006030
distance 0.14
#7 · Buldhanacell 4720002225
distance 0.142 · cross-district
#8 · Buldhanacell 4720002428
distance 0.144 · cross-district
#9 · Parbhanicell 4890001556
distance 0.147 · cross-district
#10 · Jalnacell 4790002544
distance 0.149 · cross-district
#11 · Beedcell 4700008650
distance 0.149
#12 · Jalnacell 4790000894
distance 0.149 · cross-district
#13 · Laturcell 4810002213
distance 0.15 · cross-district
#14 · Beedcell 4700005898
distance 0.15
#15 · Jalnacell 4790002301
distance 0.152 · cross-district
#16 · Beedcell 4700006592
distance 0.152
#17 · Beedcell 4700004472
distance 0.152
#18 · Washimcell 4990002193
distance 0.153 · 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":4700005465}}}'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.