Bhārata Strata · Maharashtra · Pune · morphological twins

Places like cell 4900002322

The MH-36 locality cells most similar to this Pune 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

0.9

GUM mean confidence of the anchor (R24)

Dimensions compared

morphology-v2 feature dimensions

Closest twin distance

0.389

lower = more alike (weighted)

The twins, closest first

#1 · Jalgaoncell 4780008589

distance 0.389 · cross-district

#2 · Nashikcell 4870001747

distance 0.423 · cross-district

#3 · Sataracell 4940007854

distance 0.425 · cross-district

#4 · Chhatrapati Sambhajinagarcell 4690002379

distance 0.502 · cross-district

#5 · Ahmednagarcell 4660012332

distance 0.502 · cross-district

#6 · Dhulecell 4740000766

distance 0.509 · cross-district

#7 · Buldhanacell 4720004384

distance 0.51 · cross-district

#8 · Buldhanacell 4720007872

distance 0.511 · cross-district

#9 · Nashikcell 4870006626

distance 0.516 · cross-district

#10 · Akolacell 4670004198

distance 0.517 · cross-district

#11 · Solapurcell 4960006316

distance 0.518 · cross-district

#12 · Chhatrapati Sambhajinagarcell 4690002688

distance 0.519 · cross-district

#13 · Ahmednagarcell 4660003980

distance 0.522 · cross-district

#14 · Punecell 4900003170

distance 0.53

#15 · Jalgaoncell 4780005473

distance 0.531 · cross-district

#16 · Beedcell 4700005697

distance 0.534 · cross-district

#17 · Jalgaoncell 4780008795

distance 0.541 · cross-district

#18 · Hingolicell 4770002515

distance 0.541 · 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":490,"cluster_id":4900002322}}}'

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.