Bhārata Strata · Maharashtra · Pune · morphological twins

Places like cell 4900009290

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

0.232

lower = more alike (weighted)

The twins, closest first

#1 · Punecell 4900009184

distance 0.232

#2 · Punecell 4900009506

distance 0.254

#3 · Punecell 4900008511

distance 0.263

#4 · Punecell 4900011814

distance 0.265

#5 · Punecell 4900011616

distance 0.265

#6 · Punecell 4900009382

distance 0.267

#7 · Punecell 4900010639

distance 0.27

#8 · Ahmednagarcell 4660004217

distance 0.272 · cross-district

#9 · Punecell 4900003827

distance 0.278

#10 · Punecell 4900005750

distance 0.285

#11 · Punecell 4900006383

distance 0.287

#12 · Punecell 4900009797

distance 0.287

#13 · Punecell 4900006860

distance 0.288

#14 · Punecell 4900009897

distance 0.292

#15 · Ahmednagarcell 4660003671

distance 0.293 · cross-district

#16 · Punecell 4900007360

distance 0.294

#17 · Punecell 4900009278

distance 0.297

#18 · Punecell 4900008069

distance 0.298

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":4900009290}}}'

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.