Bhārata Strata · Maharashtra · Raigad · morphological twins

Places like cell 4910000983

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

0.202

lower = more alike (weighted)

The twins, closest first

#1 · Raigadcell 4910003290

distance 0.202

#2 · Raigadcell 4910002819

distance 0.223

#3 · Raigadcell 4910002862

distance 0.246

#4 · Raigadcell 4910000986

distance 0.255

#5 · Raigadcell 4910001114

distance 0.259

#6 · Raigadcell 4910003219

distance 0.261

#7 · Raigadcell 4910000922

distance 0.27

#8 · Raigadcell 4910002456

distance 0.271

#9 · Raigadcell 4910001440

distance 0.275

#10 · Raigadcell 4910002253

distance 0.279

#11 · Raigadcell 4910003334

distance 0.28

#12 · Punecell 4900006062

distance 0.284 · cross-district

#13 · Raigadcell 4910003236

distance 0.286

#14 · Raigadcell 4910003388

distance 0.295

#15 · Raigadcell 4910002983

distance 0.299

#16 · Raigadcell 4910003044

distance 0.31

#17 · Raigadcell 4910003019

distance 0.311

#18 · Raigadcell 4910003348

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":491,"cluster_id":4910000983}}}'

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.