Bhārata Strata · Maharashtra · Latur · morphological twins

Places like cell 4810003489

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

0.046

lower = more alike (weighted)

The twins, closest first

#1 · Laturcell 4810003080

distance 0.046

#2 · Laturcell 4810003898

distance 0.067

#3 · Laturcell 4810005064

distance 0.076

#4 · Laturcell 4810003798

distance 0.081

#5 · Laturcell 4810003387

distance 0.086

#6 · Laturcell 4810003493

distance 0.091

#7 · Laturcell 4810005063

distance 0.104

#8 · Laturcell 4810004108

distance 0.105

#9 · Laturcell 4810003490

distance 0.11

#10 · Laturcell 4810003697

distance 0.112

#11 · Laturcell 4810003800

distance 0.114

#12 · Laturcell 4810004105

distance 0.115

#13 · Beedcell 4700001454

distance 0.116 · cross-district

#14 · Beedcell 4700000311

distance 0.121 · cross-district

#15 · Laturcell 4810004097

distance 0.123

#16 · Laturcell 4810004106

distance 0.123

#17 · Laturcell 4810003386

distance 0.127

#18 · Laturcell 4810003492

distance 0.128

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":4810003489}}}'

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.