Bhārata Strata · Maharashtra · Pune · morphological twins

Places like cell 4900008406

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

0.221

lower = more alike (weighted)

The twins, closest first

#1 · Punecell 4900011206

distance 0.221

#2 · Ahmednagarcell 4660004983

distance 0.263 · cross-district

#3 · Punecell 4900010088

distance 0.285

#4 · Ahmednagarcell 4660004809

distance 0.288 · cross-district

#5 · Punecell 4900008176

distance 0.299

#6 · Punecell 4900009076

distance 0.305

#7 · Punecell 4900009090

distance 0.312

#8 · Punecell 4900008863

distance 0.312

#9 · Punecell 4900012562

distance 0.318

#10 · Punecell 4900010114

distance 0.321

#11 · Punecell 4900003696

distance 0.321

#12 · Punecell 4900009294

distance 0.323

#13 · Punecell 4900008407

distance 0.328

#14 · Punecell 4900008739

distance 0.33

#15 · Punecell 4900008740

distance 0.33

#16 · Punecell 4900007861

distance 0.331

#17 · Punecell 4900008633

distance 0.331

#18 · Punecell 4900003835

distance 0.338

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":4900008406}}}'

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.