Bhārata Strata · Maharashtra · Pune · morphological twins

Places like cell 4900008846

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

0.91

GUM mean confidence of the anchor (R24)

Dimensions compared

morphology-v2 feature dimensions

Closest twin distance

0.283

lower = more alike (weighted)

The twins, closest first

#1 · Punecell 4900008198

distance 0.283

#2 · Ahmednagarcell 4660004383

distance 0.293 · cross-district

#3 · Punecell 4900010105

distance 0.302

#4 · Punecell 4900009602

distance 0.311

#5 · Punecell 4900012080

distance 0.312

#6 · Punecell 4900010555

distance 0.317

#7 · Punecell 4900009195

distance 0.325

#8 · Punecell 4900011683

distance 0.327

#9 · Punecell 4900012213

distance 0.329

#10 · Punecell 4900012081

distance 0.329

#11 · Ahmednagarcell 4660004295

distance 0.329 · cross-district

#12 · Punecell 4900009608

distance 0.335

#13 · Punecell 4900010186

distance 0.336

#14 · Punecell 4900003539

distance 0.339

#15 · Punecell 4900009060

distance 0.34

#16 · Punecell 4900009302

distance 0.34

#17 · Punecell 4900004119

distance 0.343

#18 · Punecell 4900011402

distance 0.346

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":4900008846}}}'

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.