Bhārata Strata · Maharashtra · Raigad · morphological twins

Places like cell 4910005821

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

0.89

GUM mean confidence of the anchor (R24)

Dimensions compared

morphology-v2 feature dimensions

Closest twin distance

0.177

lower = more alike (weighted)

The twins, closest first

#1 · Raigadcell 4910005788

distance 0.177

#2 · Raigadcell 4910005694

distance 0.189

#3 · Raigadcell 4910005776

distance 0.2

#4 · Raigadcell 4910005586

distance 0.2

#5 · Raigadcell 4910005789

distance 0.208

#6 · Raigadcell 4910005866

distance 0.209

#7 · Raigadcell 4910005431

distance 0.218

#8 · Raigadcell 4910005599

distance 0.22

#9 · Raigadcell 4910004899

distance 0.224

#10 · Raigadcell 4910005379

distance 0.224

#11 · Raigadcell 4910005500

distance 0.23

#12 · Raigadcell 4910005447

distance 0.232

#13 · Raigadcell 4910005499

distance 0.234

#14 · Raigadcell 4910004893

distance 0.238

#15 · Raigadcell 4910005498

distance 0.248

#16 · Raigadcell 4910005600

distance 0.255

#17 · Raigadcell 4910005095

distance 0.259

#18 · Thanecell 4970000126

distance 0.262 · cross-district

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":4910005821}}}'

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.