Bhārata Strata · Maharashtra · Beed · morphological twins

Places like cell 4700000237

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

0.071

lower = more alike (weighted)

The twins, closest first

#1 · Beedcell 4700002215

distance 0.071

#2 · Beedcell 4700000229

distance 0.073

#3 · Beedcell 4700000295

distance 0.076

#4 · Beedcell 4700000298

distance 0.077

#5 · Beedcell 4700001587

distance 0.082

#6 · Beedcell 4700001740

distance 0.084

#7 · Beedcell 4700000368

distance 0.093

#8 · Beedcell 4700000776

distance 0.093

#9 · Beedcell 4700000290

distance 0.096

#10 · Dharashivcell 4880006009

distance 0.101 · cross-district

#11 · Beedcell 4700002054

distance 0.102

#12 · Beedcell 4700002050

distance 0.102

#13 · Beedcell 4700001434

distance 0.102

#14 · Beedcell 4700001731

distance 0.104

#15 · Beedcell 4700000875

distance 0.105

#16 · Dharashivcell 4880006302

distance 0.106 · cross-district

#17 · Beedcell 4700001446

distance 0.108

#18 · Beedcell 4700000543

distance 0.108

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":4700000237}}}'

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.