Bhārata Strata · Maharashtra · Pune · morphological twins

Places like cell 4900011620

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

0.174

lower = more alike (weighted)

The twins, closest first

#1 · Punecell 4900011350

distance 0.174

#2 · Punecell 4900011811

distance 0.188

#3 · Punecell 4900011210

distance 0.193

#4 · Punecell 4900010548

distance 0.199

#5 · Punecell 4900009384

distance 0.216

#6 · Punecell 4900011488

distance 0.218

#7 · Punecell 4900012082

distance 0.224

#8 · Punecell 4900010296

distance 0.229

#9 · Punecell 4900008734

distance 0.23

#10 · Ahmednagarcell 4660004140

distance 0.234 · cross-district

#11 · Punecell 4900009792

distance 0.236

#12 · Punecell 4900011279

distance 0.237

#13 · Punecell 4900010895

distance 0.238

#14 · Ahmednagarcell 4660004377

distance 0.24 · cross-district

#15 · Punecell 4900010639

distance 0.242

#16 · Punecell 4900011130

distance 0.244

#17 · Punecell 4900007855

distance 0.246

#18 · Punecell 4900010208

distance 0.246

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":4900011620}}}'

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.