Bhārata Strata · Maharashtra · Beed · morphological twins

Places like cell 4700007210

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

0.073

lower = more alike (weighted)

The twins, closest first

#1 · Beedcell 4700008776

distance 0.073

#2 · Ahmednagarcell 4660008325

distance 0.083 · cross-district

#3 · Beedcell 4700007485

distance 0.087

#4 · Beedcell 4700008034

distance 0.089

#5 · Beedcell 4700008326

distance 0.094

#6 · Beedcell 4700007480

distance 0.096

#7 · Beedcell 4700008686

distance 0.099

#8 · Beedcell 4700008860

distance 0.102

#9 · Beedcell 4700008551

distance 0.104

#10 · Beedcell 4700007654

distance 0.107

#11 · Beedcell 4700007478

distance 0.107

#12 · Beedcell 4700008411

distance 0.109

#13 · Ahmednagarcell 4660007869

distance 0.109 · cross-district

#14 · Beedcell 4700008558

distance 0.11

#15 · Beedcell 4700008939

distance 0.111

#16 · Beedcell 4700007404

distance 0.114

#17 · Beedcell 4700007670

distance 0.114

#18 · Beedcell 4700007312

distance 0.114

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":4700007210}}}'

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.