Bhārata Strata · Maharashtra · Solapur · morphological twins

Places like cell 4960002128

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 12 distinct districts

Index confidence

0.91

GUM mean confidence of the anchor (R24)

Dimensions compared

morphology-v2 feature dimensions

Closest twin distance

0.368

lower = more alike (weighted)

The twins, closest first

#1 · Chhatrapati Sambhajinagarcell 4690000417

distance 0.368 · cross-district

#2 · Buldhanacell 4720005611

distance 0.369 · cross-district

#3 · Chhatrapati Sambhajinagarcell 4690004949

distance 0.386 · cross-district

#4 · Buldhanacell 4720002602

distance 0.386 · cross-district

#5 · Nagpurcell 4840004698

distance 0.395 · cross-district

#6 · Jalgaoncell 4780001715

distance 0.403 · cross-district

#7 · Washimcell 4990002459

distance 0.411 · cross-district

#8 · Wardhacell 4980003059

distance 0.421 · cross-district

#9 · Buldhanacell 4720004231

distance 0.422 · cross-district

#10 · Parbhanicell 4890000961

distance 0.43 · cross-district

#11 · Dharashivcell 4880000782

distance 0.43 · cross-district

#12 · Punecell 4900005795

distance 0.435 · cross-district

#13 · Chhatrapati Sambhajinagarcell 4690008722

distance 0.436 · cross-district

#14 · Sanglicell 4930000721

distance 0.439 · cross-district

#15 · Sanglicell 4930006034

distance 0.439 · cross-district

#16 · Ahmednagarcell 4660014336

distance 0.443 · cross-district

#17 · Beedcell 4700001329

distance 0.443 · cross-district

#18 · Parbhanicell 4890004284

distance 0.456 · 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":4960002128}}}'

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.