Bhārata Strata · Maharashtra · Raigad · morphological twins

Places like cell 4910001706

The MH-36 locality cells most similar to this Raigad 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 10 distinct districts

Index confidence

0.87

GUM mean confidence of the anchor (R24)

Dimensions compared

morphology-v2 feature dimensions

Closest twin distance

0.549

lower = more alike (weighted)

The twins, closest first

#1 · Nagpurcell 4840000341

distance 0.549 · cross-district

#2 · Wardhacell 4980003653

distance 0.569 · cross-district

#3 · Nagpurcell 4840001485

distance 0.581 · cross-district

#4 · Sindhudurgcell 4950004092

distance 0.604 · cross-district

#5 · Nagpurcell 4840001050

distance 0.607 · cross-district

#6 · Nashikcell 4870001140

distance 0.607 · cross-district

#7 · Buldhanacell 4720005864

distance 0.619 · cross-district

#8 · Gadchirolicell 4750000024

distance 0.625 · cross-district

#9 · Nagpurcell 4840008630

distance 0.627 · cross-district

#10 · Nagpurcell 4840008553

distance 0.635 · cross-district

#11 · Dhulecell 4740003678

distance 0.643 · cross-district

#12 · Yavatmalcell 5000006276

distance 0.654 · cross-district

#13 · Yavatmalcell 5000011405

distance 0.685 · cross-district

#14 · Gadchirolicell 4750000023

distance 0.698 · cross-district

#15 · Thanecell 4970003200

distance 0.703 · cross-district

#16 · Gadchirolicell 4750000086

distance 0.704 · cross-district

#17 · Kolhapurcell 4800002422

distance 0.706 · cross-district

#18 · Gadchirolicell 4750000009

distance 0.709 · 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":491,"cluster_id":4910001706}}}'

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.