Bhārata Strata · Maharashtra · Beed · morphological twins

Places like cell 4700001463

The MH-36 locality cells most similar to this Beed 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

0.091

lower = more alike (weighted)

The twins, closest first

#1 · Beedcell 4700001318

distance 0.091

#2 · Beedcell 4700000210

distance 0.107

#3 · Beedcell 4700001923

distance 0.114

#4 · Beedcell 4700000213

distance 0.129

#5 · Laturcell 4810001974

distance 0.13 · cross-district

#6 · Beedcell 4700001295

distance 0.131

#7 · Beedcell 4700002067

distance 0.132

#8 · Beedcell 4700002741

distance 0.134

#9 · Beedcell 4700001921

distance 0.135

#10 · Beedcell 4700001037

distance 0.136

#11 · Beedcell 4700002230

distance 0.14

#12 · Beedcell 4700001176

distance 0.14

#13 · Beedcell 4700002406

distance 0.14

#14 · Beedcell 4700000314

distance 0.14

#15 · Beedcell 4700001454

distance 0.141

#16 · Beedcell 4700002405

distance 0.143

#17 · Laturcell 4810005063

distance 0.143 · cross-district

#18 · Laturcell 4810003999

distance 0.143 · 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":470,"cluster_id":4700001463}}}'

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.