Bhārata Strata · Maharashtra · Beed · morphological twins

Places like cell 4700007752

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

0.142

lower = more alike (weighted)

The twins, closest first

#1 · Ahmednagarcell 4660006111

distance 0.142 · cross-district

#2 · Beedcell 4700008775

distance 0.147

#3 · Beedcell 4700007758

distance 0.15

#4 · Beedcell 4700008477

distance 0.152

#5 · Beedcell 4700007308

distance 0.152

#6 · Beedcell 4700007491

distance 0.153

#7 · Beedcell 4700008150

distance 0.156

#8 · Beedcell 4700008029

distance 0.162

#9 · Beedcell 4700008817

distance 0.163

#10 · Beedcell 4700007594

distance 0.163

#11 · Beedcell 4700008130

distance 0.164

#12 · Beedcell 4700008638

distance 0.165

#13 · Beedcell 4700008254

distance 0.166

#14 · Beedcell 4700007755

distance 0.167

#15 · Beedcell 4700007942

distance 0.168

#16 · Ahmednagarcell 4660006982

distance 0.168 · cross-district

#17 · Beedcell 4700007953

distance 0.168

#18 · Beedcell 4700007211

distance 0.171

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":4700007752}}}'

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.