Bhārata Strata · Maharashtra · Beed · morphological twins
Places like cell 4700000204
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
43
morphology-v2 feature dimensions
Closest twin distance
0.113
lower = more alike (weighted)
The twins, closest first
#1 · Beedcell 4700000207
distance 0.113
#2 · Beedcell 4700000570
distance 0.124
#3 · Beedcell 4700001763
distance 0.127
#4 · Beedcell 4700000253
distance 0.138
#5 · Beedcell 4700002080
distance 0.14
#6 · Beedcell 4700001182
distance 0.142
#7 · Laturcell 4810002409
distance 0.146 · cross-district
#8 · Beedcell 4700000906
distance 0.146
#9 · Jalnacell 4790001177
distance 0.161 · cross-district
#10 · Laturcell 4810001394
distance 0.161 · cross-district
#11 · Beedcell 4700000919
distance 0.164
#12 · Beedcell 4700003216
distance 0.166
#13 · Laturcell 4810001473
distance 0.17 · cross-district
#14 · Solapurcell 4960001336
distance 0.172 · cross-district
#15 · Buldhanacell 4720000095
distance 0.173 · cross-district
#16 · Beedcell 4700007716
distance 0.175
#17 · Laturcell 4810000129
distance 0.175 · cross-district
#18 · Laturcell 4810000039
distance 0.176 · 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":4700000204}}}'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.