Bhārata Strata · Maharashtra · Sangli · morphological twins

Places like cell 4930003387

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

0.1

lower = more alike (weighted)

The twins, closest first

#1 · Sanglicell 4930003388

distance 0.1

#2 · Sanglicell 4930003043

distance 0.105

#3 · Sanglicell 4930003212

distance 0.12

#4 · Sanglicell 4930002362

distance 0.162

#5 · Sanglicell 4930003896

distance 0.181

#6 · Sanglicell 4930003209

distance 0.185

#7 · Sanglicell 4930003557

distance 0.185

#8 · Sanglicell 4930002359

distance 0.192

#9 · Sanglicell 4930003573

distance 0.196

#10 · Sanglicell 4930003757

distance 0.199

#11 · Sanglicell 4930002870

distance 0.202

#12 · Sanglicell 4930001031

distance 0.208

#13 · Sanglicell 4930001733

distance 0.21

#14 · Sanglicell 4930001142

distance 0.214

#15 · Sanglicell 4930001892

distance 0.22

#16 · Sanglicell 4930002702

distance 0.22

#17 · Sanglicell 4930000712

distance 0.226

#18 · Sanglicell 4930002056

distance 0.227

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":4930003387}}}'

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.