Bhārata Strata · Maharashtra · Pune · morphological twins

Places like cell 4900006382

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

0.136

lower = more alike (weighted)

The twins, closest first

#1 · Punecell 4900006498

distance 0.136

#2 · Punecell 4900007114

distance 0.14

#3 · Punecell 4900006263

distance 0.191

#4 · Punecell 4900006264

distance 0.225

#5 · Punecell 4900006262

distance 0.226

#6 · Punecell 4900006501

distance 0.234

#7 · Punecell 4900001419

distance 0.243

#8 · Punecell 4900006746

distance 0.244

#9 · Punecell 4900006985

distance 0.248

#10 · Punecell 4900012492

distance 0.264

#11 · Punecell 4900005622

distance 0.266

#12 · Punecell 4900012421

distance 0.268

#13 · Punecell 4900006381

distance 0.271

#14 · Punecell 4900005882

distance 0.273

#15 · Ahmednagarcell 4660005039

distance 0.279 · cross-district

#16 · Punecell 4900001155

distance 0.28

#17 · Punecell 4900002140

distance 0.283

#18 · Ahmednagarcell 4660004690

distance 0.287 · 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":4900006382}}}'

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.