Bhārata Strata · Maharashtra · Solapur · morphological twins

Places like cell 4960005001

The MH-36 locality cells most similar to this Solapur 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 11 distinct districts

Index confidence

0.92

GUM mean confidence of the anchor (R24)

Dimensions compared

morphology-v2 feature dimensions

Closest twin distance

0.615

lower = more alike (weighted)

The twins, closest first

#1 · Jalnacell 4790003958

distance 0.615 · cross-district

#2 · Nandedcell 4850004864

distance 0.669 · cross-district

#3 · Kolhapurcell 4800003868

distance 0.683 · cross-district

#4 · Dhulecell 4740001699

distance 0.705 · cross-district

#5 · Nandedcell 4850002803

distance 0.721 · cross-district

#6 · Sataracell 4940008996

distance 0.725 · cross-district

#7 · Nagpurcell 4840001147

distance 0.754 · cross-district

#8 · Washimcell 4990003860

distance 0.755 · cross-district

#9 · Chhatrapati Sambhajinagarcell 4690002989

distance 0.763 · cross-district

#10 · Punecell 4900005927

distance 0.764 · cross-district

#11 · Solapurcell 4960005213

distance 0.776

#12 · Nashikcell 4870010581

distance 0.786 · cross-district

#13 · Chhatrapati Sambhajinagarcell 4690003638

distance 0.79 · cross-district

#14 · Nandedcell 4850004868

distance 0.791 · cross-district

#15 · Sataracell 4940000833

distance 0.793 · cross-district

#16 · Kolhapurcell 4800004456

distance 0.794 · cross-district

#17 · Kolhapurcell 4800004332

distance 0.794 · cross-district

#18 · Sataracell 4940007907

distance 0.798 · 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":496,"cluster_id":4960005001}}}'

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.