Bhārata Strata · Maharashtra · Beed · morphological twins
Places like cell 4700004036
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 3 distinct districts
Index confidence
0.91
GUM mean confidence of the anchor (R24)
Dimensions compared
43
morphology-v2 feature dimensions
Closest twin distance
0.216
lower = more alike (weighted)
The twins, closest first
#1 · Beedcell 4700004046
distance 0.216
#2 · Beedcell 4700004739
distance 0.231
#3 · Akolacell 4670000065
distance 0.247 · cross-district
#4 · Sataracell 4940001743
distance 0.251 · cross-district
#5 · Beedcell 4700005071
distance 0.252
#6 · Beedcell 4700003597
distance 0.253
#7 · Sataracell 4940003275
distance 0.26 · cross-district
#8 · Sataracell 4940001833
distance 0.264 · cross-district
#9 · Beedcell 4700003722
distance 0.267
#10 · Beedcell 4700003902
distance 0.268
#11 · Sataracell 4940001640
distance 0.272 · cross-district
#12 · Beedcell 4700003727
distance 0.272
#13 · Beedcell 4700004073
distance 0.282
#14 · Sataracell 4940000306
distance 0.285 · cross-district
#15 · Beedcell 4700004736
distance 0.288
#16 · Sataracell 4940001645
distance 0.288 · cross-district
#17 · Beedcell 4700002901
distance 0.289
#18 · Sataracell 4940001470
distance 0.29 · 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":4700004036}}}'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.