Bhārata Strata · Maharashtra · Pune · morphological twins

Places like cell 4900004980

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

0.116

lower = more alike (weighted)

The twins, closest first

#1 · Punecell 4900004714

distance 0.116

#2 · Punecell 4900005657

distance 0.127

#3 · Punecell 4900006164

distance 0.128

#4 · Punecell 4900004706

distance 0.138

#5 · Punecell 4900007386

distance 0.14

#6 · Punecell 4900007514

distance 0.145

#7 · Punecell 4900005276

distance 0.146

#8 · Punecell 4900005783

distance 0.146

#9 · Punecell 4900007389

distance 0.155

#10 · Beedcell 4700005127

distance 0.159 · cross-district

#11 · Punecell 4900007511

distance 0.16

#12 · Punecell 4900007512

distance 0.161

#13 · Punecell 4900004857

distance 0.161

#14 · Punecell 4900004861

distance 0.164

#15 · Beedcell 4700005290

distance 0.165 · cross-district

#16 · Punecell 4900004977

distance 0.165

#17 · Beedcell 4700005133

distance 0.168 · cross-district

#18 · Punecell 4900004722

distance 0.169

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":4900004980}}}'

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.