Bhārata Strata · Maharashtra · Jalna · morphological twins

Places like cell 4790001751

The MH-36 locality cells most similar to this Jalna 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 7 distinct districts

Index confidence

0.93

GUM mean confidence of the anchor (R24)

Dimensions compared

morphology-v2 feature dimensions

Closest twin distance

0.228

lower = more alike (weighted)

The twins, closest first

#1 · Akolacell 4670004602

distance 0.228 · cross-district

#2 · Buldhanacell 4720004463

distance 0.235 · cross-district

#3 · Jalgaoncell 4780005795

distance 0.236 · cross-district

#4 · Amravaticell 4680001744

distance 0.238 · cross-district

#5 · Buldhanacell 4720003954

distance 0.24 · cross-district

#6 · Beedcell 4700003110

distance 0.24 · cross-district

#7 · Buldhanacell 4720004038

distance 0.241 · cross-district

#8 · Sanglicell 4930006203

distance 0.245 · cross-district

#9 · Akolacell 4670004565

distance 0.254 · cross-district

#10 · Chhatrapati Sambhajinagarcell 4690008761

distance 0.254 · cross-district

#11 · Buldhanacell 4720005159

distance 0.255 · cross-district

#12 · Sanglicell 4930006283

distance 0.255 · cross-district

#13 · Buldhanacell 4720004389

distance 0.255 · cross-district

#14 · Buldhanacell 4720003810

distance 0.255 · cross-district

#15 · Jalgaoncell 4780002779

distance 0.256 · cross-district

#16 · Akolacell 4670000285

distance 0.26 · cross-district

#17 · Sanglicell 4930006554

distance 0.261 · cross-district

#18 · Sanglicell 4930006060

distance 0.261 · 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":479,"cluster_id":4790001751}}}'

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.