Bhārata Strata · Maharashtra · Solapur · morphological twins

Places like cell 4960012391

The MH-36 locality cells most similar to this Solapur 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 5 distinct districts

Index confidence

0.91

GUM mean confidence of the anchor (R24)

Dimensions compared

morphology-v2 feature dimensions

Closest twin distance

0.136

lower = more alike (weighted)

The twins, closest first

#1 · Chhatrapati Sambhajinagarcell 4690004054

distance 0.136 · cross-district

#2 · Solapurcell 4960000255

distance 0.143

#3 · Ahmednagarcell 4660001344

distance 0.151 · cross-district

#4 · Chhatrapati Sambhajinagarcell 4690004526

distance 0.154 · cross-district

#5 · Ahmednagarcell 4660010597

distance 0.156 · cross-district

#6 · Solapurcell 4960000965

distance 0.158

#7 · Ahmednagarcell 4660001383

distance 0.161 · cross-district

#8 · Ahmednagarcell 4660000743

distance 0.162 · cross-district

#9 · Sanglicell 4930004985

distance 0.162 · cross-district

#10 · Beedcell 4700005094

distance 0.162 · cross-district

#11 · Ahmednagarcell 4660001856

distance 0.163 · cross-district

#12 · Beedcell 4700002517

distance 0.164 · cross-district

#13 · Chhatrapati Sambhajinagarcell 4690003466

distance 0.164 · cross-district

#14 · Ahmednagarcell 4660000210

distance 0.165 · cross-district

#15 · Beedcell 4700003306

distance 0.165 · cross-district

#16 · Sanglicell 4930004114

distance 0.166 · cross-district

#17 · Solapurcell 4960000164

distance 0.167

#18 · Beedcell 4700006112

distance 0.168 · 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":496,"cluster_id":4960012391}}}'

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.