Bhārata Strata · Maharashtra · Beed · morphological twins

Places like cell 4700003233

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

0.91

GUM mean confidence of the anchor (R24)

Dimensions compared

morphology-v2 feature dimensions

Closest twin distance

0.085

lower = more alike (weighted)

The twins, closest first

#1 · Beedcell 4700003055

distance 0.085

#2 · Beedcell 4700003061

distance 0.132

#3 · Beedcell 4700002250

distance 0.144

#4 · Beedcell 4700003406

distance 0.151

#5 · Beedcell 4700003412

distance 0.153

#6 · Beedcell 4700003411

distance 0.157

#7 · Beedcell 4700002089

distance 0.167

#8 · Beedcell 4700003409

distance 0.168

#9 · Beedcell 4700003229

distance 0.174

#10 · Beedcell 4700002086

distance 0.181

#11 · Beedcell 4700002929

distance 0.182

#12 · Ahmednagarcell 4660004965

distance 0.185 · cross-district

#13 · Beedcell 4700003095

distance 0.187

#14 · Ahmednagarcell 4660004878

distance 0.187 · cross-district

#15 · Beedcell 4700002747

distance 0.187

#16 · Beedcell 4700003756

distance 0.188

#17 · Beedcell 4700003927

distance 0.188

#18 · Beedcell 4700003054

distance 0.194

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":4700003233}}}'

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.