Bhārata Strata · Maharashtra · Pune · morphological twins

Places like cell 4900004206

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

0.9

GUM mean confidence of the anchor (R24)

Dimensions compared

morphology-v2 feature dimensions

Closest twin distance

0.123

lower = more alike (weighted)

The twins, closest first

#1 · Punecell 4900003632

distance 0.123

#2 · Punecell 4900003634

distance 0.142

#3 · Punecell 4900003237

distance 0.15

#4 · Raigadcell 4910002162

distance 0.158 · cross-district

#5 · Punecell 4900003367

distance 0.16

#6 · Punecell 4900003501

distance 0.168

#7 · Punecell 4900003770

distance 0.18

#8 · Punecell 4900002369

distance 0.184

#9 · Punecell 4900003240

distance 0.189

#10 · Punecell 4900004193

distance 0.19

#11 · Punecell 4900003926

distance 0.192

#12 · Raigadcell 4910001403

distance 0.203 · cross-district

#13 · Punecell 4900003639

distance 0.213

#14 · Punecell 4900005285

distance 0.215

#15 · Punecell 4900003783

distance 0.216

#16 · Raigadcell 4910002068

distance 0.217 · cross-district

#17 · Punecell 4900005294

distance 0.217

#18 · Punecell 4900003782

distance 0.22

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":4900004206}}}'

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.