Bhārata Strata · Maharashtra · Latur · morphological twins

Places like cell 4810001621

The MH-36 locality cells most similar to this Latur 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

0.054

lower = more alike (weighted)

The twins, closest first

#1 · Laturcell 4810001781

distance 0.054

#2 · Laturcell 4810001790

distance 0.069

#3 · Laturcell 4810001075

distance 0.077

#4 · Laturcell 4810000870

distance 0.093

#5 · Laturcell 4810001693

distance 0.097

#6 · Laturcell 4810001875

distance 0.098

#7 · Laturcell 4810002217

distance 0.104

#8 · Laturcell 4810001476

distance 0.105

#9 · Laturcell 4810001446

distance 0.105

#10 · Laturcell 4810002228

distance 0.106

#11 · Laturcell 4810002310

distance 0.108

#12 · Laturcell 4810001616

distance 0.11

#13 · Laturcell 4810001986

distance 0.111

#14 · Laturcell 4810001434

distance 0.114

#15 · Laturcell 4810001144

distance 0.114

#16 · Dharashivcell 4880002064

distance 0.115 · cross-district

#17 · Laturcell 4810002572

distance 0.116

#18 · Laturcell 4810001143

distance 0.116

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":481,"cluster_id":4810001621}}}'

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.