Bhārata Strata · Maharashtra · Pune · morphological twins

Places like cell 4900002169

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 6 distinct districts

Index confidence

0.9

GUM mean confidence of the anchor (R24)

Dimensions compared

morphology-v2 feature dimensions

Closest twin distance

0.326

lower = more alike (weighted)

The twins, closest first

#1 · Nashikcell 4870005436

distance 0.326 · cross-district

#2 · Ahmednagarcell 4660012459

distance 0.327 · cross-district

#3 · Nashikcell 4870007047

distance 0.336 · cross-district

#4 · Ahmednagarcell 4660013437

distance 0.346 · cross-district

#5 · Ahmednagarcell 4660008903

distance 0.356 · cross-district

#6 · Beedcell 4700005539

distance 0.36 · cross-district

#7 · Ahmednagarcell 4660010563

distance 0.364 · cross-district

#8 · Nashikcell 4870003563

distance 0.37 · cross-district

#9 · Chhatrapati Sambhajinagarcell 4690001346

distance 0.379 · cross-district

#10 · Ahmednagarcell 4660011345

distance 0.392 · cross-district

#11 · Ahmednagarcell 4660003861

distance 0.394 · cross-district

#12 · Beedcell 4700005977

distance 0.394 · cross-district

#13 · Ahmednagarcell 4660013105

distance 0.398 · cross-district

#14 · Dharashivcell 4880000203

distance 0.4 · cross-district

#15 · Nashikcell 4870009354

distance 0.403 · cross-district

#16 · Ahmednagarcell 4660012310

distance 0.404 · cross-district

#17 · Punecell 4900012350

distance 0.404

#18 · Ahmednagarcell 4660004063

distance 0.404 · cross-district

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":4900002169}}}'

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.