Bhārata Strata · Maharashtra · Beed · morphological twins
Places like cell 4700003448
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
0.107
lower = more alike (weighted)
The twins, closest first
#1 · Beedcell 4700003447
distance 0.107
#2 · Beedcell 4700004954
distance 0.117
#3 · Beedcell 4700003274
distance 0.131
#4 · Beedcell 4700003103
distance 0.145
#5 · Beedcell 4700003278
distance 0.146
#6 · Dharashivcell 4880000612
distance 0.15 · cross-district
#7 · Dharashivcell 4880000176
distance 0.151 · cross-district
#8 · Beedcell 4700002107
distance 0.151
#9 · Beedcell 4700002764
distance 0.151
#10 · Beedcell 4700002105
distance 0.152
#11 · Dharashivcell 4880000336
distance 0.161 · cross-district
#12 · Dharashivcell 4880000703
distance 0.162 · cross-district
#13 · Beedcell 4700002255
distance 0.163
#14 · Beedcell 4700002265
distance 0.163
#15 · Dharashivcell 4880000227
distance 0.169 · cross-district
#16 · Beedcell 4700002592
distance 0.172
#17 · Nandedcell 4850000552
distance 0.173 · cross-district
#18 · Nandedcell 4850000221
distance 0.174 · 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":4700003448}}}'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.