Bhārata Strata · Maharashtra · Beed · morphological twins
Places like cell 4700004553
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
0.91
GUM mean confidence of the anchor (R24)
Dimensions compared
43
morphology-v2 feature dimensions
Closest twin distance
0.174
lower = more alike (weighted)
The twins, closest first
#1 · Beedcell 4700006503
distance 0.174
#2 · Beedcell 4700005659
distance 0.204
#3 · Parbhanicell 4890001829
distance 0.204 · cross-district
#4 · Beedcell 4700004896
distance 0.213
#5 · Beedcell 4700006502
distance 0.234
#6 · Beedcell 4700006365
distance 0.242
#7 · Sataracell 4940001354
distance 0.246 · cross-district
#8 · Beedcell 4700001238
distance 0.25
#9 · Sanglicell 4930000863
distance 0.25 · cross-district
#10 · Beedcell 4700002317
distance 0.252
#11 · Beedcell 4700001824
distance 0.252
#12 · Sanglicell 4930000168
distance 0.253 · cross-district
#13 · Sanglicell 4930001593
distance 0.254 · cross-district
#14 · Sanglicell 4930003296
distance 0.255 · cross-district
#15 · Sanglicell 4930001582
distance 0.258 · cross-district
#16 · Sanglicell 4930001450
distance 0.259 · cross-district
#17 · Beedcell 4700001825
distance 0.259
#18 · Beedcell 4700005775
distance 0.262
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":4700004553}}}'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.