Bhārata Strata · Maharashtra · Latur · morphological twins

Places like cell 4810003411

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 3 distinct districts

Index confidence

0.92

GUM mean confidence of the anchor (R24)

Dimensions compared

morphology-v2 feature dimensions

Closest twin distance

0.124

lower = more alike (weighted)

The twins, closest first

#1 · Laturcell 4810003512

distance 0.124

#2 · Laturcell 4810003620

distance 0.143

#3 · Laturcell 4810003414

distance 0.149

#4 · Laturcell 4810004519

distance 0.15

#5 · Laturcell 4810003418

distance 0.159

#6 · Laturcell 4810003523

distance 0.16

#7 · Laturcell 4810005586

distance 0.162

#8 · Laturcell 4810004724

distance 0.164

#9 · Beedcell 4700005445

distance 0.167 · cross-district

#10 · Laturcell 4810003199

distance 0.17

#11 · Laturcell 4810004026

distance 0.17

#12 · Laturcell 4810003507

distance 0.171

#13 · Laturcell 4810004426

distance 0.173

#14 · Laturcell 4810003204

distance 0.176

#15 · Laturcell 4810003508

distance 0.176

#16 · Laturcell 4810003807

distance 0.18

#17 · Nandedcell 4850004794

distance 0.185 · cross-district

#18 · Laturcell 4810003208

distance 0.186

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":4810003411}}}'

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.