Bhārata Strata · Maharashtra · Solapur · morphological twins

Places like cell 4960007927

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 7 distinct districts

Index confidence

0.9

GUM mean confidence of the anchor (R24)

Dimensions compared

morphology-v2 feature dimensions

Closest twin distance

0.288

lower = more alike (weighted)

The twins, closest first

#1 · Ahmednagarcell 4660005578

distance 0.288 · cross-district

#2 · Ahmednagarcell 4660012456

distance 0.321 · cross-district

#3 · Ahmednagarcell 4660005691

distance 0.326 · cross-district

#4 · Punecell 4900001444

distance 0.34 · cross-district

#5 · Nashikcell 4870003433

distance 0.344 · cross-district

#6 · Ahmednagarcell 4660012147

distance 0.359 · cross-district

#7 · Ahmednagarcell 4660014349

distance 0.372 · cross-district

#8 · Sataracell 4940004830

distance 0.375 · cross-district

#9 · Nashikcell 4870002344

distance 0.413 · cross-district

#10 · Washimcell 4990001306

distance 0.415 · cross-district

#11 · Ahmednagarcell 4660011988

distance 0.435 · cross-district

#12 · Kolhapurcell 4800004443

distance 0.455 · cross-district

#13 · Ahmednagarcell 4660012172

distance 0.456 · cross-district

#14 · Punecell 4900006135

distance 0.459 · cross-district

#15 · Nashikcell 4870010011

distance 0.461 · cross-district

#16 · Dharashivcell 4880002281

distance 0.466 · cross-district

#17 · Punecell 4900012702

distance 0.471 · cross-district

#18 · Sataracell 4940004705

distance 0.474 · 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":4960007927}}}'

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.