Bhārata Strata · Maharashtra · Raigad · morphological twins
Places like cell 4910000939
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 3 distinct districts
Index confidence
0.89
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.326
lower = more alike (weighted)
The twins, closest first
#1 · Raigadcell 4910000745
distance 0.326
#2 · Raigadcell 4910000866
distance 0.349
#3 · Raigadcell 4910000807
distance 0.35
#4 · Ratnagiricell 4920004726
distance 0.421 · cross-district
#5 · Raigadcell 4910000214
distance 0.432
#6 · Raigadcell 4910000746
distance 0.435
#7 · Ratnagiricell 4920005942
distance 0.446 · cross-district
#8 · Raigadcell 4910000747
distance 0.457
#9 · Raigadcell 4910005646
distance 0.464
#10 · Nashikcell 4870000206
distance 0.464 · cross-district
#11 · Raigadcell 4910000459
distance 0.464
#12 · Raigadcell 4910005126
distance 0.465
#13 · Raigadcell 4910000876
distance 0.467
#14 · Raigadcell 4910000936
distance 0.467
#15 · Raigadcell 4910000584
distance 0.469
#16 · Ratnagiricell 4920006037
distance 0.47 · cross-district
#17 · Raigadcell 4910000617
distance 0.471
#18 · Ratnagiricell 4920004158
distance 0.471 · 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":4910000939}}}'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.