Bhārata Strata · Maharashtra · Pune · morphological twins

Places like cell 4900003979

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

0.171

lower = more alike (weighted)

The twins, closest first

#1 · Punecell 4900003695

distance 0.171

#2 · Punecell 4900010299

distance 0.182

#3 · Punecell 4900004118

distance 0.203

#4 · Punecell 4900010389

distance 0.234

#5 · Punecell 4900010475

distance 0.239

#6 · Punecell 4900008961

distance 0.241

#7 · Punecell 4900009816

distance 0.247

#8 · Punecell 4900007852

distance 0.247

#9 · Punecell 4900003691

distance 0.249

#10 · Punecell 4900010976

distance 0.254

#11 · Ahmednagarcell 4660004301

distance 0.261 · cross-district

#12 · Punecell 4900011348

distance 0.262

#13 · Ahmednagarcell 4660004214

distance 0.264 · cross-district

#14 · Punecell 4900008747

distance 0.264

#15 · Punecell 4900008623

distance 0.265

#16 · Punecell 4900003683

distance 0.266

#17 · Punecell 4900010201

distance 0.266

#18 · Punecell 4900011053

distance 0.268

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":4900003979}}}'

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.