Bhārata Strata · Maharashtra · Pune · morphological twins

Places like cell 4900011216

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

0.91

GUM mean confidence of the anchor (R24)

Dimensions compared

morphology-v2 feature dimensions

Closest twin distance

0.173

lower = more alike (weighted)

The twins, closest first

#1 · Punecell 4900011813

distance 0.173

#2 · Punecell 4900010209

distance 0.192

#3 · Punecell 4900011208

distance 0.2

#4 · Punecell 4900007964

distance 0.214

#5 · Punecell 4900011944

distance 0.225

#6 · Ahmednagarcell 4660004388

distance 0.245 · cross-district

#7 · Punecell 4900009067

distance 0.249

#8 · Punecell 4900011207

distance 0.252

#9 · Punecell 4900008076

distance 0.266

#10 · Punecell 4900007254

distance 0.277

#11 · Punecell 4900010900

distance 0.279

#12 · Punecell 4900010207

distance 0.282

#13 · Punecell 4900010727

distance 0.284

#14 · Punecell 4900011349

distance 0.286

#15 · Punecell 4900010808

distance 0.286

#16 · Ahmednagarcell 4660004648

distance 0.291 · cross-district

#17 · Punecell 4900007610

distance 0.292

#18 · Punecell 4900007855

distance 0.295

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":4900011216}}}'

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.