Bhārata Strata · Maharashtra · Pune · morphological twins

Places like cell 4900005255

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 3 distinct districts

Index confidence

0.91

GUM mean confidence of the anchor (R24)

Dimensions compared

morphology-v2 feature dimensions

Closest twin distance

0.141

lower = more alike (weighted)

The twins, closest first

#1 · Punecell 4900006172

distance 0.141

#2 · Punecell 4900006050

distance 0.141

#3 · Punecell 4900006036

distance 0.147

#4 · Punecell 4900004849

distance 0.147

#5 · Punecell 4900005533

distance 0.153

#6 · Punecell 4900005787

distance 0.153

#7 · Punecell 4900005402

distance 0.157

#8 · Punecell 4900006889

distance 0.161

#9 · Punecell 4900005401

distance 0.162

#10 · Punecell 4900005522

distance 0.163

#11 · Punecell 4900004863

distance 0.165

#12 · Beedcell 4700003132

distance 0.17 · cross-district

#13 · Punecell 4900004837

distance 0.171

#14 · Beedcell 4700003133

distance 0.175 · cross-district

#15 · Punecell 4900005526

distance 0.176

#16 · Punecell 4900005386

distance 0.179

#17 · Punecell 4900005532

distance 0.18

#18 · Sanglicell 4930006987

distance 0.18 · cross-district

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":4900005255}}}'

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.