Bhārata Strata · Maharashtra · Beed · morphological twins
Places like cell 4700003032
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 5 distinct districts
Index confidence
0.91
GUM mean confidence of the anchor (R24)
Dimensions compared
42
morphology-v2 feature dimensions
Closest twin distance
0.153
lower = more alike (weighted)
The twins, closest first
#1 · Beedcell 4700003208
distance 0.153
#2 · Beedcell 4700003039
distance 0.157
#3 · Beedcell 4700003201
distance 0.176
#4 · Beedcell 4700003212
distance 0.177
#5 · Beedcell 4700003033
distance 0.178
#6 · Sanglicell 4930004844
distance 0.18 · cross-district
#7 · Beedcell 4700003031
distance 0.18
#8 · Beedcell 4700003034
distance 0.184
#9 · Beedcell 4700005251
distance 0.194
#10 · Sanglicell 4930004981
distance 0.194 · cross-district
#11 · Dharashivcell 4880002454
distance 0.213 · cross-district
#12 · Beedcell 4700003883
distance 0.227
#13 · Beedcell 4700005249
distance 0.228
#14 · Ahmednagarcell 4660007037
distance 0.231 · cross-district
#15 · Beedcell 4700003029
distance 0.237
#16 · Sanglicell 4930003788
distance 0.239 · cross-district
#17 · Ahmednagarcell 4660006896
distance 0.241 · cross-district
#18 · Solapurcell 4960000028
distance 0.248 · 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":4700003032}}}'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.