Bhārata Strata · Maharashtra · Beed · morphological twins

Places like cell 4700007231

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

across 2 distinct districts

Index confidence

0.92

GUM mean confidence of the anchor (R24)

Dimensions compared

morphology-v2 feature dimensions

Closest twin distance

0.116

lower = more alike (weighted)

The twins, closest first

#1 · Beedcell 4700007972

distance 0.116

#2 · Beedcell 4700007875

distance 0.125

#3 · Beedcell 4700008779

distance 0.136

#4 · Ahmednagarcell 4660006452

distance 0.137 · cross-district

#5 · Beedcell 4700007405

distance 0.142

#6 · Ahmednagarcell 4660005526

distance 0.142 · cross-district

#7 · Beedcell 4700008415

distance 0.143

#8 · Beedcell 4700008910

distance 0.146

#9 · Beedcell 4700008960

distance 0.146

#10 · Beedcell 4700008956

distance 0.149

#11 · Beedcell 4700008565

distance 0.153

#12 · Beedcell 4700008955

distance 0.153

#13 · Beedcell 4700007572

distance 0.156

#14 · Beedcell 4700008562

distance 0.159

#15 · Beedcell 4700008897

distance 0.159

#16 · Beedcell 4700008411

distance 0.16

#17 · Beedcell 4700008825

distance 0.163

#18 · Beedcell 4700007400

distance 0.164

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":4700007231}}}'

Machine-readable JSON twin →Full dossier →

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.