Bhārata Strata · Maharashtra · Latur · morphological twins

Places like cell 4810003476

The MH-36 locality cells most similar to this Latur 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

0.123

lower = more alike (weighted)

The twins, closest first

#1 · Laturcell 4810004559

distance 0.123

#2 · Laturcell 4810003861

distance 0.134

#3 · Laturcell 4810004162

distance 0.146

#4 · Laturcell 4810003653

distance 0.148

#5 · Laturcell 4810003866

distance 0.166

#6 · Beedcell 4700000003

distance 0.172 · cross-district

#7 · Beedcell 4700000280

distance 0.174 · cross-district

#8 · Laturcell 4810003756

distance 0.174

#9 · Laturcell 4810003577

distance 0.175

#10 · Laturcell 4810003956

distance 0.177

#11 · Laturcell 4810002389

distance 0.18

#12 · Laturcell 4810002760

distance 0.18

#13 · Laturcell 4810003239

distance 0.183

#14 · Laturcell 4810004348

distance 0.193

#15 · Laturcell 4810002773

distance 0.193

#16 · Laturcell 4810003865

distance 0.195

#17 · Laturcell 4810003769

distance 0.197

#18 · Laturcell 4810003254

distance 0.199

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":481,"cluster_id":4810003476}}}'

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.