Bhārata Strata · Maharashtra · Sangli · morphological twins

Places like cell 4930007124

The MH-36 locality cells most similar to this Sangli 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 10 distinct districts

Index confidence

0.92

GUM mean confidence of the anchor (R24)

Dimensions compared

morphology-v2 feature dimensions

Closest twin distance

0.31

lower = more alike (weighted)

The twins, closest first

#1 · Solapurcell 4960008023

distance 0.31 · cross-district

#2 · Nashikcell 4870011216

distance 0.506 · cross-district

#3 · Sanglicell 4930006953

distance 0.508

#4 · Nashikcell 4870005119

distance 0.525 · cross-district

#5 · Solapurcell 4960009960

distance 0.535 · cross-district

#6 · Jalgaoncell 4780008317

distance 0.538 · cross-district

#7 · Laturcell 4810003262

distance 0.54 · cross-district

#8 · Chhatrapati Sambhajinagarcell 4690003507

distance 0.552 · cross-district

#9 · Ahmednagarcell 4660005131

distance 0.553 · cross-district

#10 · Nashikcell 4870005002

distance 0.568 · cross-district

#11 · Laturcell 4810000052

distance 0.571 · cross-district

#12 · Chhatrapati Sambhajinagarcell 4690002076

distance 0.574 · cross-district

#13 · Hingolicell 4770000139

distance 0.579 · cross-district

#14 · Solapurcell 4960008316

distance 0.589 · cross-district

#15 · Chandrapurcell 4730004095

distance 0.59 · cross-district

#16 · Jalnacell 4790003965

distance 0.6 · cross-district

#17 · Nashikcell 4870003116

distance 0.609 · cross-district

#18 · Nashikcell 4870010012

distance 0.614 · 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":493,"cluster_id":4930007124}}}'

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.