Bhārata Strata · Maharashtra · Palghar · morphological twins
Places like cell 6650004056
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 2 distinct districts
Index confidence
0.9
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.077
lower = more alike (weighted)
The twins, closest first
#1 · Palgharcell 6650003991
distance 0.077
#2 · Nashikcell 4870003743
distance 0.126 · cross-district
#3 · Nashikcell 4870004178
distance 0.138 · cross-district
#4 · Nashikcell 4870003457
distance 0.188 · cross-district
#5 · Palgharcell 6650002424
distance 0.19
#6 · Palgharcell 6650003993
distance 0.194
#7 · Palgharcell 6650003857
distance 0.201
#8 · Palgharcell 6650003985
distance 0.201
#9 · Palgharcell 6650004061
distance 0.202
#10 · Palgharcell 6650004055
distance 0.206
#11 · Palgharcell 6650004324
distance 0.211
#12 · Palgharcell 6650003925
distance 0.216
#13 · Nashikcell 4870004029
distance 0.217 · cross-district
#14 · Palgharcell 6650001971
distance 0.218
#15 · Palgharcell 6650002585
distance 0.219
#16 · Nashikcell 4870004328
distance 0.22 · cross-district
#17 · Palgharcell 6650003262
distance 0.224
#18 · Nashikcell 4870003601
distance 0.226 · 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":6650004056}}}'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.