Bhārata Strata · Maharashtra · Parbhani · morphological twins

Places like cell 4890000737

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

0.275

lower = more alike (weighted)

The twins, closest first

#1 · Buldhanacell 4720005286

distance 0.275 · cross-district

#2 · Dharashivcell 4880000379

distance 0.278 · cross-district

#3 · Solapurcell 4960002868

distance 0.283 · cross-district

#4 · Jalnacell 4790001465

distance 0.292 · cross-district

#5 · Dharashivcell 4880000950

distance 0.294 · cross-district

#6 · Akolacell 4670000573

distance 0.296 · cross-district

#7 · Solapurcell 4960011172

distance 0.298 · cross-district

#8 · Dharashivcell 4880002497

distance 0.3 · cross-district

#9 · Dharashivcell 4880004634

distance 0.304 · cross-district

#10 · Dharashivcell 4880002340

distance 0.305 · cross-district

#11 · Jalgaoncell 4780004752

distance 0.308 · cross-district

#12 · Beedcell 4700000931

distance 0.309 · cross-district

#13 · Solapurcell 4960000872

distance 0.31 · cross-district

#14 · Solapurcell 4960011700

distance 0.314 · cross-district

#15 · Sanglicell 4930000561

distance 0.316 · cross-district

#16 · Amravaticell 4680003199

distance 0.316 · cross-district

#17 · Dharashivcell 4880002738

distance 0.319 · cross-district

#18 · Nashikcell 4870011814

distance 0.319 · 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":4890000737}}}'

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.