Bhārata Strata · Maharashtra · Pune · morphological twins

Places like cell 4900005355

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

0.93

GUM mean confidence of the anchor (R24)

Dimensions compared

morphology-v2 feature dimensions

Closest twin distance

0.199

lower = more alike (weighted)

The twins, closest first

#1 · Punecell 4900007112

distance 0.199

#2 · Punecell 4900006620

distance 0.26

#3 · Punecell 4900006986

distance 0.265

#4 · Punecell 4900001403

distance 0.279

#5 · Punecell 4900007359

distance 0.281

#6 · Punecell 4900005088

distance 0.285

#7 · Punecell 4900007361

distance 0.285

#8 · Punecell 4900012567

distance 0.299

#9 · Punecell 4900005880

distance 0.302

#10 · Punecell 4900005753

distance 0.302

#11 · Ahmednagarcell 4660007450

distance 0.305 · cross-district

#12 · Punecell 4900006618

distance 0.305

#13 · Punecell 4900007485

distance 0.31

#14 · Punecell 4900005105

distance 0.313

#15 · Punecell 4900007113

distance 0.321

#16 · Punecell 4900005225

distance 0.324

#17 · Ahmednagarcell 4660006867

distance 0.326 · cross-district

#18 · Punecell 4900005883

distance 0.335

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":4900005355}}}'

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.