Bhārata Strata · Maharashtra · Washim · morphological twins

Places like cell 4990002909

The MH-36 locality cells most similar to this Washim 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 1 distinct districts

Index confidence

0.93

GUM mean confidence of the anchor (R24)

Dimensions compared

morphology-v2 feature dimensions

Closest twin distance

0.049

lower = more alike (weighted)

The twins, closest first

#1 · Washimcell 4990002510

distance 0.049

#2 · Washimcell 4990002892

distance 0.053

#3 · Washimcell 4990003245

distance 0.055

#4 · Washimcell 4990001724

distance 0.063

#5 · Washimcell 4990003170

distance 0.067

#6 · Washimcell 4990002173

distance 0.068

#7 · Washimcell 4990002911

distance 0.071

#8 · Washimcell 4990001911

distance 0.073

#9 · Washimcell 4990001813

distance 0.075

#10 · Washimcell 4990002429

distance 0.075

#11 · Washimcell 4990002430

distance 0.078

#12 · Washimcell 4990002164

distance 0.078

#13 · Washimcell 4990003374

distance 0.078

#14 · Washimcell 4990003168

distance 0.084

#15 · Washimcell 4990003373

distance 0.085

#16 · Washimcell 4990002837

distance 0.087

#17 · Washimcell 4990001722

distance 0.088

#18 · Washimcell 4990001997

distance 0.088

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":499,"cluster_id":4990002909}}}'

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.