Bhārata Strata · Maharashtra · Beed · morphological twins

Places like cell 4700004147

The MH-36 locality cells most similar to this Beed 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 13 distinct districts

Index confidence

0.89

GUM mean confidence of the anchor (R24)

Dimensions compared

morphology-v2 feature dimensions

Closest twin distance

0.423

lower = more alike (weighted)

The twins, closest first

#1 · Sataracell 4940008724

distance 0.423 · cross-district

#2 · Gondiacell 4760003681

distance 0.485 · cross-district

#3 · Chandrapurcell 4730001321

distance 0.504 · cross-district

#4 · Buldhanacell 4720004230

distance 0.566 · cross-district

#5 · Chandrapurcell 4730006141

distance 0.586 · cross-district

#6 · Punecell 4900002937

distance 0.593 · cross-district

#7 · Jalgaoncell 4780003926

distance 0.602 · cross-district

#8 · Chandrapurcell 4730002002

distance 0.61 · cross-district

#9 · Punecell 4900005406

distance 0.62 · cross-district

#10 · Wardhacell 4980004237

distance 0.622 · cross-district

#11 · Nagpurcell 4840006558

distance 0.625 · cross-district

#12 · Laturcell 4810000443

distance 0.627 · cross-district

#13 · Chhatrapati Sambhajinagarcell 4690001704

distance 0.629 · cross-district

#14 · Nashikcell 4870001245

distance 0.654 · cross-district

#15 · Chandrapurcell 4730002010

distance 0.659 · cross-district

#16 · Akolacell 4670004211

distance 0.665 · cross-district

#17 · Sataracell 4940001239

distance 0.677 · cross-district

#18 · Dhulecell 4740004984

distance 0.679 · 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":470,"cluster_id":4700004147}}}'

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.