Bhārata Strata · Maharashtra · Latur · morphological twins

Places like cell 4810004513

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

0.91

GUM mean confidence of the anchor (R24)

Dimensions compared

morphology-v2 feature dimensions

Closest twin distance

0.099

lower = more alike (weighted)

The twins, closest first

#1 · Laturcell 4810005010

distance 0.099

#2 · Laturcell 4810005012

distance 0.133

#3 · Laturcell 4810005101

distance 0.135

#4 · Laturcell 4810005276

distance 0.137

#5 · Laturcell 4810004326

distance 0.145

#6 · Laturcell 4810005183

distance 0.149

#7 · Laturcell 4810005097

distance 0.15

#8 · Laturcell 4810004519

distance 0.156

#9 · Laturcell 4810004631

distance 0.159

#10 · Laturcell 4810004915

distance 0.161

#11 · Laturcell 4810006033

distance 0.172

#12 · Laturcell 4810003806

distance 0.173

#13 · Laturcell 4810004620

distance 0.174

#14 · Laturcell 4810003916

distance 0.175

#15 · Laturcell 4810004512

distance 0.176

#16 · Laturcell 4810004217

distance 0.182

#17 · Beedcell 4700005448

distance 0.185 · cross-district

#18 · Beedcell 4700001214

distance 0.185 · cross-district

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":4810004513}}}'

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.