Bhārata Strata · Maharashtra · Beed · morphological twins
Places like cell 4700007288
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
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
43
morphology-v2 feature dimensions
Closest twin distance
0.16
lower = more alike (weighted)
The twins, closest first
#1 · Beedcell 4700008814
distance 0.16
#2 · Beedcell 4700007197
distance 0.177
#3 · Ahmednagarcell 4660008163
distance 0.182 · cross-district
#4 · Beedcell 4700008774
distance 0.189
#5 · Ahmednagarcell 4660005526
distance 0.193 · cross-district
#6 · Beedcell 4700008869
distance 0.194
#7 · Dharashivcell 4880004869
distance 0.195 · cross-district
#8 · Beedcell 4700007220
distance 0.201
#9 · Beedcell 4700007653
distance 0.202
#10 · Beedcell 4700008827
distance 0.203
#11 · Beedcell 4700008775
distance 0.206
#12 · Ahmednagarcell 4660006111
distance 0.209 · cross-district
#13 · Beedcell 4700007307
distance 0.21
#14 · Chhatrapati Sambhajinagarcell 4690000493
distance 0.217 · cross-district
#15 · Beedcell 4700008821
distance 0.217
#16 · Beedcell 4700008730
distance 0.218
#17 · Beedcell 4700001979
distance 0.22
#18 · Dharashivcell 4880004849
distance 0.221 · 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":4700007288}}}'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.