Bhārata Strata · Maharashtra · Beed · morphological twins

Places like cell 4700005024

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

0.078

lower = more alike (weighted)

The twins, closest first

#1 · Beedcell 4700004517

distance 0.078

#2 · Beedcell 4700005489

distance 0.085

#3 · Beedcell 4700004691

distance 0.095

#4 · Beedcell 4700003652

distance 0.096

#5 · Beedcell 4700004678

distance 0.111

#6 · Beedcell 4700004866

distance 0.111

#7 · Beedcell 4700004848

distance 0.112

#8 · Beedcell 4700003993

distance 0.117

#9 · Beedcell 4700004864

distance 0.119

#10 · Beedcell 4700003822

distance 0.119

#11 · Beedcell 4700004173

distance 0.121

#12 · Beedcell 4700005922

distance 0.122

#13 · Ahmednagarcell 4660004532

distance 0.122 · cross-district

#14 · Beedcell 4700006472

distance 0.122

#15 · Beedcell 4700004524

distance 0.123

#16 · Beedcell 4700006051

distance 0.123

#17 · Beedcell 4700006335

distance 0.124

#18 · Ahmednagarcell 4660004134

distance 0.127 · 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":4700005024}}}'

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.