Bhārata Strata · Maharashtra · Sangli · morphological twins

Places like cell 4930001767

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

0.92

GUM mean confidence of the anchor (R24)

Dimensions compared

morphology-v2 feature dimensions

Closest twin distance

0.08

lower = more alike (weighted)

The twins, closest first

#1 · Sanglicell 4930001217

distance 0.08

#2 · Sanglicell 4930000977

distance 0.12

#3 · Sanglicell 4930001091

distance 0.13

#4 · Sanglicell 4930002101

distance 0.13

#5 · Sanglicell 4930001469

distance 0.134

#6 · Sanglicell 4930000765

distance 0.141

#7 · Sanglicell 4930000984

distance 0.147

#8 · Sanglicell 4930000500

distance 0.148

#9 · Sanglicell 4930001940

distance 0.15

#10 · Sanglicell 4930001770

distance 0.151

#11 · Sanglicell 4930000769

distance 0.157

#12 · Sanglicell 4930002607

distance 0.16

#13 · Sanglicell 4930002100

distance 0.162

#14 · Sanglicell 4930000768

distance 0.164

#15 · Sanglicell 4930001775

distance 0.164

#16 · Sanglicell 4930000872

distance 0.166

#17 · Sanglicell 4930001934

distance 0.166

#18 · Solapurcell 4960007110

distance 0.166 · 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":4930001767}}}'

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.