Bhārata Strata · Maharashtra · Raigad · morphological twins
Places like cell 4910000798
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 4 distinct districts
Index confidence
0.9
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.221
lower = more alike (weighted)
The twins, closest first
#1 · Raigadcell 4910002332
distance 0.221
#2 · Raigadcell 4910003827
distance 0.269
#3 · Raigadcell 4910000673
distance 0.272
#4 · Raigadcell 4910003823
distance 0.285
#5 · Ratnagiricell 4920007079
distance 0.286 · cross-district
#6 · Ratnagiricell 4920006577
distance 0.288 · cross-district
#7 · Raigadcell 4910002735
distance 0.304
#8 · Ratnagiricell 4920005561
distance 0.309 · cross-district
#9 · Raigadcell 4910003880
distance 0.312
#10 · Raigadcell 4910003877
distance 0.314
#11 · Nashikcell 4870011505
distance 0.315 · cross-district
#12 · Raigadcell 4910003720
distance 0.317
#13 · Raigadcell 4910003933
distance 0.319
#14 · Raigadcell 4910002422
distance 0.32
#15 · Ratnagiricell 4920003246
distance 0.323 · cross-district
#16 · Thanecell 4970003533
distance 0.323 · cross-district
#17 · Raigadcell 4910003822
distance 0.323
#18 · Raigadcell 4910004090
distance 0.324
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":4910000798}}}'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.