Bhārata Strata · Maharashtra · Sangli · morphological twins

Places like cell 4930002872

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 1 distinct districts

Index confidence

0.93

GUM mean confidence of the anchor (R24)

Dimensions compared

morphology-v2 feature dimensions

Closest twin distance

0.145

lower = more alike (weighted)

The twins, closest first

#1 · Sanglicell 4930002192

distance 0.145

#2 · Sanglicell 4930003029

distance 0.149

#3 · Sanglicell 4930003030

distance 0.174

#4 · Sanglicell 4930002862

distance 0.177

#5 · Sanglicell 4930003564

distance 0.188

#6 · Sanglicell 4930000927

distance 0.189

#7 · Sanglicell 4930003218

distance 0.195

#8 · Sanglicell 4930001860

distance 0.196

#9 · Sanglicell 4930002875

distance 0.208

#10 · Sanglicell 4930003206

distance 0.214

#11 · Sanglicell 4930001729

distance 0.222

#12 · Sanglicell 4930003045

distance 0.225

#13 · Sanglicell 4930003396

distance 0.226

#14 · Sanglicell 4930000823

distance 0.226

#15 · Sanglicell 4930003724

distance 0.228

#16 · Sanglicell 4930001857

distance 0.228

#17 · Sanglicell 4930002031

distance 0.229

#18 · Sanglicell 4930000319

distance 0.229

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":4930002872}}}'

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.