Bhārata Strata · Maharashtra · Solapur · morphological twins

Places like cell 4960012460

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 3 distinct districts

Index confidence

0.92

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 · Solapurcell 4960012459

distance 0.094

#2 · Ahmednagarcell 4660000179

distance 0.101 · cross-district

#3 · Ahmednagarcell 4660000254

distance 0.109 · cross-district

#4 · Ahmednagarcell 4660000219

distance 0.123 · cross-district

#5 · Ahmednagarcell 4660000255

distance 0.136 · cross-district

#6 · Ahmednagarcell 4660001347

distance 0.139 · cross-district

#7 · Ahmednagarcell 4660000339

distance 0.143 · cross-district

#8 · Ahmednagarcell 4660006880

distance 0.143 · cross-district

#9 · Ahmednagarcell 4660001282

distance 0.143 · cross-district

#10 · Ahmednagarcell 4660000485

distance 0.146 · cross-district

#11 · Ahmednagarcell 4660000215

distance 0.147 · cross-district

#12 · Ahmednagarcell 4660000656

distance 0.148 · cross-district

#13 · Ahmednagarcell 4660000180

distance 0.148 · cross-district

#14 · Sanglicell 4930003955

distance 0.152 · cross-district

#15 · Solapurcell 4960012349

distance 0.152

#16 · Ahmednagarcell 4660002482

distance 0.153 · cross-district

#17 · Sanglicell 4930005012

distance 0.153 · cross-district

#18 · Ahmednagarcell 4660001255

distance 0.154 · 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":4960012460}}}'

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.