Bhārata Strata · Maharashtra · Pune · morphological twins

Places like cell 4900006334

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

0.9

GUM mean confidence of the anchor (R24)

Dimensions compared

morphology-v2 feature dimensions

Closest twin distance

0.63

lower = more alike (weighted)

The twins, closest first

#1 · Punecell 4900009141

distance 0.63

#2 · Punecell 4900008590

distance 0.648

#3 · Punecell 4900009355

distance 0.673

#4 · Punecell 4900006453

distance 0.679

#5 · Punecell 4900009648

distance 0.691

#6 · Punecell 4900008681

distance 0.694

#7 · Punecell 4900009353

distance 0.697

#8 · Punecell 4900009349

distance 0.722

#9 · Punecell 4900009245

distance 0.726

#10 · Punecell 4900009247

distance 0.767

#11 · Punecell 4900009459

distance 0.77

#12 · Punecell 4900007314

distance 0.77

#13 · Punecell 4900007313

distance 0.772

#14 · Thanecell 4970001168

distance 0.775 · cross-district

#15 · Punecell 4900009146

distance 0.786

#16 · Raigadcell 4910005723

distance 0.787 · cross-district

#17 · Thanecell 4970001228

distance 0.788 · cross-district

#18 · Punecell 4900009140

distance 0.795

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":4900006334}}}'

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.