Bhārata Strata · Maharashtra · Parbhani · morphological twins

Places like cell 4890001495

The MH-36 locality cells most similar to this Parbhani 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 10 distinct districts

Index confidence

0.92

GUM mean confidence of the anchor (R24)

Dimensions compared

morphology-v2 feature dimensions

Closest twin distance

0.135

lower = more alike (weighted)

The twins, closest first

#1 · Beedcell 4700007187

distance 0.135 · cross-district

#2 · Akolacell 4670000369

distance 0.141 · cross-district

#3 · Akolacell 4670000206

distance 0.145 · cross-district

#4 · Solapurcell 4960000937

distance 0.156 · cross-district

#5 · Beedcell 4700003790

distance 0.157 · cross-district

#6 · Amravaticell 4680002106

distance 0.16 · cross-district

#7 · Jalnacell 4790001736

distance 0.171 · cross-district

#8 · Parbhanicell 4890004487

distance 0.171

#9 · Jalnacell 4790006653

distance 0.171 · cross-district

#10 · Jalgaoncell 4780001928

distance 0.172 · cross-district

#11 · Washimcell 4990000518

distance 0.173 · cross-district

#12 · Buldhanacell 4720005853

distance 0.174 · cross-district

#13 · Solapurcell 4960000936

distance 0.175 · cross-district

#14 · Chhatrapati Sambhajinagarcell 4690000431

distance 0.177 · cross-district

#15 · Chhatrapati Sambhajinagarcell 4690000799

distance 0.179 · cross-district

#16 · Buldhanacell 4720001681

distance 0.179 · cross-district

#17 · Jalnacell 4790004303

distance 0.179 · cross-district

#18 · Washimcell 4990001351

distance 0.179 · 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":489,"cluster_id":4890001495}}}'

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.