Bhārata Strata · Maharashtra · Sangli · morphological twins

Places like cell 4930005752

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

0.176

lower = more alike (weighted)

The twins, closest first

#1 · Sanglicell 4930004533

distance 0.176

#2 · Sanglicell 4930006071

distance 0.187

#3 · Sanglicell 4930004825

distance 0.204

#4 · Sanglicell 4930004547

distance 0.206

#5 · Sanglicell 4930006218

distance 0.208

#6 · Sanglicell 4930006002

distance 0.208

#7 · Sanglicell 4930005453

distance 0.219

#8 · Sanglicell 4930006490

distance 0.226

#9 · Sanglicell 4930005923

distance 0.228

#10 · Sanglicell 4930005736

distance 0.233

#11 · Sanglicell 4930004384

distance 0.238

#12 · Sanglicell 4930005851

distance 0.239

#13 · Sanglicell 4930004117

distance 0.241

#14 · Sanglicell 4930004400

distance 0.242

#15 · Sanglicell 4930005840

distance 0.244

#16 · Sanglicell 4930005996

distance 0.246

#17 · Sanglicell 4930006219

distance 0.247

#18 · Sanglicell 4930005920

distance 0.248

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":4930005752}}}'

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.