Bhārata Strata · Maharashtra · Beed · morphological twins

Places like cell 4700000603

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

0.103

lower = more alike (weighted)

The twins, closest first

#1 · Beedcell 4700000710

distance 0.103

#2 · Beedcell 4700000711

distance 0.117

#3 · Beedcell 4700000272

distance 0.13

#4 · Beedcell 4700000332

distance 0.13

#5 · Beedcell 4700000278

distance 0.134

#6 · Beedcell 4700000330

distance 0.138

#7 · Beedcell 4700000222

distance 0.138

#8 · Beedcell 4700000219

distance 0.147

#9 · Laturcell 4810003965

distance 0.15 · cross-district

#10 · Laturcell 4810004264

distance 0.158 · cross-district

#11 · Beedcell 4700000271

distance 0.161

#12 · Beedcell 4700001333

distance 0.163

#13 · Laturcell 4810003660

distance 0.164 · cross-district

#14 · Beedcell 4700000339

distance 0.165

#15 · Beedcell 4700000333

distance 0.166

#16 · Beedcell 4700000172

distance 0.167

#17 · Beedcell 4700000504

distance 0.169

#18 · Beedcell 4700000171

distance 0.173

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":4700000603}}}'

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.