Bhārata Strata · Maharashtra · Beed · morphological twins

Places like cell 4700001202

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 4 distinct districts

Index confidence

0.91

GUM mean confidence of the anchor (R24)

Dimensions compared

morphology-v2 feature dimensions

Closest twin distance

0.11

lower = more alike (weighted)

The twins, closest first

#1 · Beedcell 4700001071

distance 0.11

#2 · Beedcell 4700000413

distance 0.15

#3 · Beedcell 4700000816

distance 0.158

#4 · Beedcell 4700001197

distance 0.159

#5 · Beedcell 4700001068

distance 0.168

#6 · Beedcell 4700006700

distance 0.17

#7 · Beedcell 4700000701

distance 0.174

#8 · Dharashivcell 4880004619

distance 0.177 · cross-district

#9 · Beedcell 4700000412

distance 0.179

#10 · Laturcell 4810002962

distance 0.18 · cross-district

#11 · Beedcell 4700000577

distance 0.18

#12 · Beedcell 4700001210

distance 0.181

#13 · Beedcell 4700000696

distance 0.182

#14 · Beedcell 4700001058

distance 0.185

#15 · Beedcell 4700001206

distance 0.188

#16 · Jalnacell 4790001240

distance 0.19 · cross-district

#17 · Beedcell 4700000602

distance 0.191

#18 · Beedcell 4700000593

distance 0.192

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":4700001202}}}'

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.