Bhārata Strata · Maharashtra · Beed · morphological twins

Places like cell 4700004565

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

0.9

GUM mean confidence of the anchor (R24)

Dimensions compared

morphology-v2 feature dimensions

Closest twin distance

0.159

lower = more alike (weighted)

The twins, closest first

#1 · Beedcell 4700005225

distance 0.159

#2 · Beedcell 4700004736

distance 0.168

#3 · Beedcell 4700004383

distance 0.183

#4 · Beedcell 4700005223

distance 0.191

#5 · Beedcell 4700004579

distance 0.194

#6 · Beedcell 4700005064

distance 0.198

#7 · Beedcell 4700004211

distance 0.199

#8 · Beedcell 4700005093

distance 0.201

#9 · Beedcell 4700004222

distance 0.207

#10 · Beedcell 4700005375

distance 0.212

#11 · Beedcell 4700002880

distance 0.214

#12 · Beedcell 4700004058

distance 0.215

#13 · Beedcell 4700005556

distance 0.22

#14 · Beedcell 4700005075

distance 0.228

#15 · Beedcell 4700002644

distance 0.228

#16 · Ahmednagarcell 4660001307

distance 0.234 · cross-district

#17 · Beedcell 4700005376

distance 0.236

#18 · Ahmednagarcell 4660003795

distance 0.239 · 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":4700004565}}}'

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.