Bhārata Strata · Maharashtra · Latur · morphological twins

Places like cell 4810000511

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

0.083

lower = more alike (weighted)

The twins, closest first

#1 · Laturcell 4810000243

distance 0.083

#2 · Laturcell 4810000524

distance 0.102

#3 · Laturcell 4810000400

distance 0.102

#4 · Laturcell 4810000834

distance 0.105

#5 · Laturcell 4810000532

distance 0.112

#6 · Laturcell 4810000591

distance 0.118

#7 · Laturcell 4810002518

distance 0.121

#8 · Laturcell 4810000882

distance 0.122

#9 · Laturcell 4810002428

distance 0.123

#10 · Dharashivcell 4880001342

distance 0.125 · cross-district

#11 · Laturcell 4810001249

distance 0.126

#12 · Laturcell 4810002395

distance 0.132

#13 · Laturcell 4810004256

distance 0.132

#14 · Laturcell 4810001548

distance 0.133

#15 · Laturcell 4810003452

distance 0.136

#16 · Laturcell 4810000455

distance 0.137

#17 · Laturcell 4810001326

distance 0.141

#18 · Laturcell 4810000970

distance 0.143

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":4810000511}}}'

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.