Bhārata Strata · Maharashtra · Pune · morphological twins

Places like cell 4900012016

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 4900011948

distance 0.116

#2 · Punecell 4900012085

distance 0.157

#3 · Punecell 4900009914

distance 0.164

#4 · Punecell 4900010633

distance 0.175

#5 · Punecell 4900009598

distance 0.182

#6 · Punecell 4900008524

distance 0.184

#7 · Ahmednagarcell 4660004631

distance 0.184 · cross-district

#8 · Punecell 4900011489

distance 0.186

#9 · Punecell 4900010634

distance 0.188

#10 · Punecell 4900011485

distance 0.188

#11 · Punecell 4900011946

distance 0.191

#12 · Punecell 4900011282

distance 0.192

#13 · Punecell 4900011816

distance 0.199

#14 · Punecell 4900010643

distance 0.199

#15 · Punecell 4900009797

distance 0.2

#16 · Ahmednagarcell 4660004722

distance 0.205 · cross-district

#17 · Punecell 4900011487

distance 0.211

#18 · Punecell 4900011486

distance 0.212

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":4900012016}}}'

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.