Bhārata Strata · Maharashtra · Beed · morphological twins
Places like cell 4700008056
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 7 distinct districts
Index confidence
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
43
morphology-v2 feature dimensions
Closest twin distance
0.215
lower = more alike (weighted)
The twins, closest first
#1 · Beedcell 4700008145
distance 0.215
#2 · Beedcell 4700005943
distance 0.218
#3 · Dharashivcell 4880005639
distance 0.219 · cross-district
#4 · Buldhanacell 4720002479
distance 0.221 · cross-district
#5 · Beedcell 4700003237
distance 0.222
#6 · Beedcell 4700005381
distance 0.222
#7 · Beedcell 4700003727
distance 0.224
#8 · Beedcell 4700004929
distance 0.227
#9 · Beedcell 4700001081
distance 0.227
#10 · Ahmednagarcell 4660006840
distance 0.229 · cross-district
#11 · Beedcell 4700003902
distance 0.23
#12 · Beedcell 4700004805
distance 0.235
#13 · Laturcell 4810006088
distance 0.236 · cross-district
#14 · Beedcell 4700004222
distance 0.237
#15 · Ahmednagarcell 4660005872
distance 0.239 · cross-district
#16 · Sanglicell 4930002429
distance 0.24 · cross-district
#17 · Beedcell 4700003050
distance 0.241
#18 · Jalgaoncell 4780009939
distance 0.241 · 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":4700008056}}}'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.