Bhārata Strata · Maharashtra · Beed · morphological twins

Places like cell 4700004567

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

0.094

lower = more alike (weighted)

The twins, closest first

#1 · Beedcell 4700004911

distance 0.094

#2 · Beedcell 4700003537

distance 0.108

#3 · Beedcell 4700004734

distance 0.115

#4 · Beedcell 4700003703

distance 0.115

#5 · Beedcell 4700003696

distance 0.131

#6 · Beedcell 4700003713

distance 0.133

#7 · Beedcell 4700004045

distance 0.139

#8 · Beedcell 4700003532

distance 0.14

#9 · Beedcell 4700004052

distance 0.147

#10 · Beedcell 4700003373

distance 0.147

#11 · Ahmednagarcell 4660005076

distance 0.155 · cross-district

#12 · Beedcell 4700003374

distance 0.157

#13 · Beedcell 4700003867

distance 0.162

#14 · Beedcell 4700005250

distance 0.162

#15 · Beedcell 4700004071

distance 0.163

#16 · Beedcell 4700005667

distance 0.163

#17 · Beedcell 4700003712

distance 0.165

#18 · Ahmednagarcell 4660005077

distance 0.165 · 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":4700004567}}}'

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.