Bhārata Strata · Maharashtra · Latur · morphological twins

Places like cell 4810003499

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

0.079

lower = more alike (weighted)

The twins, closest first

#1 · Laturcell 4810003702

distance 0.079

#2 · Laturcell 4810003392

distance 0.094

#3 · Laturcell 4810005062

distance 0.094

#4 · Laturcell 4810004208

distance 0.095

#5 · Laturcell 4810004206

distance 0.099

#6 · Laturcell 4810003291

distance 0.107

#7 · Laturcell 4810003699

distance 0.108

#8 · Laturcell 4810004194

distance 0.11

#9 · Laturcell 4810004292

distance 0.111

#10 · Laturcell 4810004491

distance 0.119

#11 · Laturcell 4810003186

distance 0.119

#12 · Laturcell 4810003696

distance 0.119

#13 · Beedcell 4700008461

distance 0.12 · cross-district

#14 · Beedcell 4700008460

distance 0.124 · cross-district

#15 · Laturcell 4810004495

distance 0.126

#16 · Laturcell 4810003892

distance 0.128

#17 · Laturcell 4810003391

distance 0.128

#18 · Laturcell 4810003598

distance 0.131

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":4810003499}}}'

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.