Bhārata Strata · Maharashtra · Pune · morphological twins

Places like cell 4900011213

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

0.92

GUM mean confidence of the anchor (R24)

Dimensions compared

morphology-v2 feature dimensions

Closest twin distance

0.119

lower = more alike (weighted)

The twins, closest first

#1 · Punecell 4900011212

distance 0.119

#2 · Punecell 4900010466

distance 0.159

#3 · Punecell 4900010474

distance 0.172

#4 · Punecell 4900010890

distance 0.176

#5 · Punecell 4900009392

distance 0.189

#6 · Punecell 4900011285

distance 0.192

#7 · Punecell 4900011135

distance 0.193

#8 · Punecell 4900011127

distance 0.193

#9 · Punecell 4900009601

distance 0.194

#10 · Punecell 4900010976

distance 0.197

#11 · Punecell 4900010109

distance 0.204

#12 · Punecell 4900009913

distance 0.206

#13 · Punecell 4900009071

distance 0.21

#14 · Punecell 4900008416

distance 0.21

#15 · Punecell 4900010815

distance 0.211

#16 · Ahmednagarcell 4660003959

distance 0.212 · cross-district

#17 · Ahmednagarcell 4660004471

distance 0.213 · cross-district

#18 · Punecell 4900010640

distance 0.213

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":4900011213}}}'

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.