Bhārata Strata · Maharashtra · Palghar · morphological twins
Places like cell 6650000780
The MH-36 locality cells most similar to this Palghar 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
0.91
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.389
lower = more alike (weighted)
The twins, closest first
#1 · Palgharcell 6650000732
distance 0.389
#2 · Palgharcell 6650000389
distance 0.389
#3 · Palgharcell 6650000733
distance 0.411
#4 · Palgharcell 6650000884
distance 0.449
#5 · Thanecell 4970003157
distance 0.452 · cross-district
#6 · Palgharcell 6650000933
distance 0.452
#7 · Palgharcell 6650000640
distance 0.476
#8 · Nashikcell 4870001696
distance 0.477 · cross-district
#9 · Palgharcell 6650000840
distance 0.484
#10 · Palgharcell 6650000480
distance 0.501
#11 · Nashikcell 4870002584
distance 0.504 · cross-district
#12 · Thanecell 4970003069
distance 0.507 · cross-district
#13 · Palgharcell 6650000686
distance 0.511
#14 · Palgharcell 6650000931
distance 0.512
#15 · Palgharcell 6650003193
distance 0.513
#16 · Hingolicell 4770001583
distance 0.514 · cross-district
#17 · Palgharcell 6650000984
distance 0.515
#18 · Nashikcell 4870002585
distance 0.52 · 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":665,"cluster_id":6650000780}}}'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.