Bhārata Strata · Maharashtra · Beed · morphological twins

Places like cell 4700008862

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 3 distinct districts

Index confidence

0.92

GUM mean confidence of the anchor (R24)

Dimensions compared

morphology-v2 feature dimensions

Closest twin distance

0.174

lower = more alike (weighted)

The twins, closest first

#1 · Beedcell 4700007293

distance 0.174

#2 · Beedcell 4700008729

distance 0.175

#3 · Beedcell 4700007767

distance 0.177

#4 · Beedcell 4700007663

distance 0.179

#5 · Beedcell 4700008894

distance 0.183

#6 · Beedcell 4700008781

distance 0.193

#7 · Beedcell 4700008941

distance 0.194

#8 · Beedcell 4700008903

distance 0.202

#9 · Beedcell 4700008702

distance 0.204

#10 · Beedcell 4700005816

distance 0.206

#11 · Beedcell 4700008976

distance 0.213

#12 · Parbhanicell 4890001609

distance 0.218 · cross-district

#13 · Beedcell 4700008787

distance 0.218

#14 · Ahmednagarcell 4660008576

distance 0.219 · cross-district

#15 · Beedcell 4700006578

distance 0.219

#16 · Beedcell 4700007954

distance 0.219

#17 · Beedcell 4700006183

distance 0.219

#18 · Beedcell 4700008794

distance 0.223

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":4700008862}}}'

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.