Bhārata Strata · Maharashtra · Sangli · morphological twins

Places like cell 4930006062

The MH-36 locality cells most similar to this Sangli 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

0.93

GUM mean confidence of the anchor (R24)

Dimensions compared

morphology-v2 feature dimensions

Closest twin distance

0.153

lower = more alike (weighted)

The twins, closest first

#1 · Sanglicell 4930004258

distance 0.153

#2 · Sanglicell 4930004553

distance 0.18

#3 · Beedcell 4700002938

distance 0.213 · cross-district

#4 · Sanglicell 4930004406

distance 0.219

#5 · Sanglicell 4930004405

distance 0.222

#6 · Sanglicell 4930004824

distance 0.222

#7 · Sanglicell 4930006080

distance 0.223

#8 · Sanglicell 4930006155

distance 0.23

#9 · Sanglicell 4930005924

distance 0.234

#10 · Sanglicell 4930005932

distance 0.236

#11 · Sanglicell 4930004104

distance 0.238

#12 · Sanglicell 4930005666

distance 0.238

#13 · Sanglicell 4930005994

distance 0.238

#14 · Sanglicell 4930004407

distance 0.24

#15 · Sanglicell 4930005833

distance 0.248

#16 · Sanglicell 4930004835

distance 0.248

#17 · Sanglicell 4930004694

distance 0.249

#18 · Sanglicell 4930006348

distance 0.249

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":493,"cluster_id":4930006062}}}'

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.