Bhārata Strata · Maharashtra · Sangli · morphological twins

Places like cell 4930005279

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 2 distinct districts

Index confidence

0.93

GUM mean confidence of the anchor (R24)

Dimensions compared

morphology-v2 feature dimensions

Closest twin distance

0.05

lower = more alike (weighted)

The twins, closest first

#1 · Sanglicell 4930005032

distance 0.05

#2 · Sanglicell 4930005036

distance 0.062

#3 · Sanglicell 4930004172

distance 0.072

#4 · Sanglicell 4930006017

distance 0.079

#5 · Sanglicell 4930004903

distance 0.08

#6 · Sanglicell 4930004762

distance 0.09

#7 · Sanglicell 4930004323

distance 0.092

#8 · Solapurcell 4960000844

distance 0.097 · cross-district

#9 · Sanglicell 4930005277

distance 0.098

#10 · Sanglicell 4930005704

distance 0.1

#11 · Sanglicell 4930004171

distance 0.103

#12 · Sanglicell 4930005035

distance 0.103

#13 · Sanglicell 4930006020

distance 0.106

#14 · Sanglicell 4930004904

distance 0.107

#15 · Sanglicell 4930004483

distance 0.114

#16 · Sanglicell 4930003133

distance 0.115

#17 · Sanglicell 4930004898

distance 0.116

#18 · Sanglicell 4930006095

distance 0.12

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":4930005279}}}'

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.