Bhārata Strata · Maharashtra · Beed · morphological twins

Places like cell 4700001780

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

0.068

lower = more alike (weighted)

The twins, closest first

#1 · Beedcell 4700001637

distance 0.068

#2 · Beedcell 4700001788

distance 0.093

#3 · Beedcell 4700001935

distance 0.108

#4 · Beedcell 4700001492

distance 0.134

#5 · Beedcell 4700002099

distance 0.135

#6 · Beedcell 4700001798

distance 0.136

#7 · Beedcell 4700001349

distance 0.137

#8 · Beedcell 4700001496

distance 0.141

#9 · Beedcell 4700001783

distance 0.141

#10 · Dharashivcell 4880001032

distance 0.143 · cross-district

#11 · Beedcell 4700003918

distance 0.144

#12 · Beedcell 4700002095

distance 0.149

#13 · Beedcell 4700002245

distance 0.149

#14 · Beedcell 4700004965

distance 0.152

#15 · Dharashivcell 4880002736

distance 0.153 · cross-district

#16 · Beedcell 4700001944

distance 0.154

#17 · Beedcell 4700002113

distance 0.154

#18 · Beedcell 4700002104

distance 0.155

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":4700001780}}}'

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.