Bhārata Strata · Maharashtra · Parbhani · morphological twins

Places like cell 4890000949

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 12 distinct districts

Index confidence

0.92

GUM mean confidence of the anchor (R24)

Dimensions compared

morphology-v2 feature dimensions

Closest twin distance

0.44

lower = more alike (weighted)

The twins, closest first

#1 · Nagpurcell 4840007355

distance 0.44 · cross-district

#2 · Nandedcell 4850005065

distance 0.477 · cross-district

#3 · Beedcell 4700001022

distance 0.522 · cross-district

#4 · Laturcell 4810000563

distance 0.566 · cross-district

#5 · Chhatrapati Sambhajinagarcell 4690002076

distance 0.648 · cross-district

#6 · Hingolicell 4770000207

distance 0.664 · cross-district

#7 · Yavatmalcell 5000002934

distance 0.668 · cross-district

#8 · Dharashivcell 4880002318

distance 0.669 · cross-district

#9 · Beedcell 4700001053

distance 0.672 · cross-district

#10 · Laturcell 4810000052

distance 0.678 · cross-district

#11 · Dhulecell 4740000766

distance 0.681 · cross-district

#12 · Nandedcell 4850003855

distance 0.692 · cross-district

#13 · Punecell 4900005127

distance 0.692 · cross-district

#14 · Yavatmalcell 5000009772

distance 0.693 · cross-district

#15 · Nandedcell 4850005132

distance 0.707 · cross-district

#16 · Gadchirolicell 4750007602

distance 0.708 · cross-district

#17 · Buldhanacell 4720003019

distance 0.719 · cross-district

#18 · Nagpurcell 4840007354

distance 0.72 · 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":4890000949}}}'

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.