Bhārata Strata · Maharashtra · Raigad · morphological twins
Places like cell 4910001279
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
18
across 5 distinct districts
Index confidence
0.9
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.264
lower = more alike (weighted)
The twins, closest first
#1 · Raigadcell 4910001026
distance 0.264
#2 · Raigadcell 4910001211
distance 0.288
#3 · Raigadcell 4910003737
distance 0.296
#4 · Raigadcell 4910003634
distance 0.314
#5 · Raigadcell 4910003854
distance 0.373
#6 · Raigadcell 4910005229
distance 0.394
#7 · Ratnagiricell 4920004590
distance 0.395 · cross-district
#8 · Sindhudurgcell 4950000568
distance 0.398 · cross-district
#9 · Raigadcell 4910001210
distance 0.405
#10 · Raigadcell 4910004284
distance 0.407
#11 · Raigadcell 4910003633
distance 0.412
#12 · Raigadcell 4910003735
distance 0.432
#13 · Palgharcell 6650001675
distance 0.433 · cross-district
#14 · Sindhudurgcell 4950001470
distance 0.434 · cross-district
#15 · Raigadcell 4910003736
distance 0.435
#16 · Sindhudurgcell 4950001469
distance 0.437 · cross-district
#17 · Kolhapurcell 4800002725
distance 0.44 · cross-district
#18 · Raigadcell 4910004437
distance 0.444
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":4910001279}}}'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.