Bhārata Strata · Maharashtra · Raigad · morphological twins

Places like cell 4910001460

The MH-36 locality cells most similar to this Raigad 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

0.9

GUM mean confidence of the anchor (R24)

Dimensions compared

morphology-v2 feature dimensions

Closest twin distance

0.2

lower = more alike (weighted)

The twins, closest first

#1 · Raigadcell 4910001450

distance 0.2

#2 · Raigadcell 4910001865

distance 0.201

#3 · Raigadcell 4910002015

distance 0.212

#4 · Raigadcell 4910001812

distance 0.216

#5 · Raigadcell 4910001917

distance 0.217

#6 · Raigadcell 4910002018

distance 0.221

#7 · Raigadcell 4910001451

distance 0.222

#8 · Raigadcell 4910001516

distance 0.227

#9 · Raigadcell 4910001910

distance 0.229

#10 · Raigadcell 4910002417

distance 0.23

#11 · Raigadcell 4910001011

distance 0.234

#12 · Raigadcell 4910002115

distance 0.234

#13 · Raigadcell 4910001752

distance 0.239

#14 · Raigadcell 4910002016

distance 0.241

#15 · Raigadcell 4910002366

distance 0.245

#16 · Raigadcell 4910001574

distance 0.265

#17 · Punecell 4900006669

distance 0.274 · cross-district

#18 · Raigadcell 4910002210

distance 0.275

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":491,"cluster_id":4910001460}}}'

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.