Bhārata Strata · Maharashtra · Sangli · morphological twins

Places like cell 4930004354

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

0.22

lower = more alike (weighted)

The twins, closest first

#1 · Sanglicell 4930003888

distance 0.22

#2 · Sanglicell 4930004498

distance 0.256

#3 · Sanglicell 4930001837

distance 0.273

#4 · Sanglicell 4930002002

distance 0.28

#5 · Sanglicell 4930000800

distance 0.28

#6 · Sanglicell 4930003719

distance 0.285

#7 · Sanglicell 4930002675

distance 0.287

#8 · Sanglicell 4930004928

distance 0.29

#9 · Sanglicell 4930004352

distance 0.291

#10 · Sanglicell 4930004190

distance 0.297

#11 · Sanglicell 4930004204

distance 0.298

#12 · Sataracell 4940000835

distance 0.3 · cross-district

#13 · Sanglicell 4930004929

distance 0.301

#14 · Sanglicell 4930004496

distance 0.302

#15 · Sanglicell 4930001524

distance 0.305

#16 · Sanglicell 4930003550

distance 0.307

#17 · Sanglicell 4930003716

distance 0.312

#18 · Sanglicell 4930003718

distance 0.312

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":4930004354}}}'

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.