Bhārata Strata · Maharashtra · Pune · morphological twins

Places like cell 4900003769

The MH-36 locality cells most similar to this Pune 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

0.224

lower = more alike (weighted)

The twins, closest first

#1 · Punecell 4900004339

distance 0.224

#2 · Punecell 4900003920

distance 0.229

#3 · Punecell 4900003500

distance 0.232

#4 · Punecell 4900003499

distance 0.24

#5 · Punecell 4900002964

distance 0.249

#6 · Raigadcell 4910001340

distance 0.25 · cross-district

#7 · Punecell 4900003378

distance 0.27

#8 · Punecell 4900002963

distance 0.274

#9 · Raigadcell 4910002159

distance 0.274 · cross-district

#10 · Punecell 4900004478

distance 0.277

#11 · Punecell 4900003915

distance 0.28

#12 · Punecell 4900005021

distance 0.281

#13 · Punecell 4900004205

distance 0.283

#14 · Punecell 4900003779

distance 0.285

#15 · Punecell 4900003912

distance 0.288

#16 · Punecell 4900004052

distance 0.29

#17 · Raigadcell 4910001626

distance 0.291 · cross-district

#18 · Punecell 4900003919

distance 0.292

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":490,"cluster_id":4900003769}}}'

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.