Bhārata Strata · Maharashtra · Palghar · morphological twins
Places like cell 6650003183
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 3 distinct districts
Index confidence
0.9
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.177
lower = more alike (weighted)
The twins, closest first
#1 · Palgharcell 6650002884
distance 0.177
#2 · Palgharcell 6650003418
distance 0.183
#3 · Thanecell 4970003479
distance 0.197 · cross-district
#4 · Palgharcell 6650003567
distance 0.202
#5 · Palgharcell 6650003774
distance 0.213
#6 · Palgharcell 6650003413
distance 0.214
#7 · Palgharcell 6650003184
distance 0.215
#8 · Palgharcell 6650002129
distance 0.222
#9 · Nashikcell 4870000872
distance 0.23 · cross-district
#10 · Nashikcell 4870001041
distance 0.233 · cross-district
#11 · Palgharcell 6650003627
distance 0.234
#12 · Nashikcell 4870000869
distance 0.236 · cross-district
#13 · Nashikcell 4870000871
distance 0.237 · cross-district
#14 · Thanecell 4970003449
distance 0.239 · cross-district
#15 · Palgharcell 6650003630
distance 0.24
#16 · Palgharcell 6650002587
distance 0.242
#17 · Palgharcell 6650001654
distance 0.246
#18 · Palgharcell 6650004168
distance 0.246
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":6650003183}}}'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.