Bhārata Strata · Maharashtra · Beed · morphological twins

Places like cell 4700006588

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 9 distinct districts

Index confidence

0.91

GUM mean confidence of the anchor (R24)

Dimensions compared

morphology-v2 feature dimensions

Closest twin distance

0.199

lower = more alike (weighted)

The twins, closest first

#1 · Jalgaoncell 4780000541

distance 0.199 · cross-district

#2 · Sanglicell 4930000656

distance 0.204 · cross-district

#3 · Beedcell 4700008626

distance 0.211

#4 · Laturcell 4810001433

distance 0.214 · cross-district

#5 · Laturcell 4810000237

distance 0.214 · cross-district

#6 · Parbhanicell 4890002062

distance 0.218 · cross-district

#7 · Chhatrapati Sambhajinagarcell 4690007743

distance 0.219 · cross-district

#8 · Solapurcell 4960000677

distance 0.22 · cross-district

#9 · Chhatrapati Sambhajinagarcell 4690005863

distance 0.221 · cross-district

#10 · Ahmednagarcell 4660006310

distance 0.223 · cross-district

#11 · Beedcell 4700007410

distance 0.223

#12 · Solapurcell 4960003713

distance 0.224 · cross-district

#13 · Chhatrapati Sambhajinagarcell 4690007700

distance 0.224 · cross-district

#14 · Sanglicell 4930001603

distance 0.224 · cross-district

#15 · Sanglicell 4930000137

distance 0.224 · cross-district

#16 · Dharashivcell 4880006234

distance 0.226 · cross-district

#17 · Sanglicell 4930001188

distance 0.226 · cross-district

#18 · Parbhanicell 4890000634

distance 0.228 · 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":4700006588}}}'

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.