Bhārata Strata · Maharashtra · Palghar · morphological twins
Places like cell 6650003633
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
0.157
lower = more alike (weighted)
The twins, closest first
#1 · Palgharcell 6650003485
distance 0.157
#2 · Palgharcell 6650003410
distance 0.181
#3 · Nashikcell 4870004182
distance 0.199 · cross-district
#4 · Palgharcell 6650001574
distance 0.212
#5 · Palgharcell 6650003560
distance 0.215
#6 · Nashikcell 4870004037
distance 0.223 · cross-district
#7 · Palgharcell 6650003327
distance 0.227
#8 · Nashikcell 4870003742
distance 0.227 · cross-district
#9 · Palgharcell 6650002572
distance 0.229
#10 · Palgharcell 6650003403
distance 0.231
#11 · Palgharcell 6650004111
distance 0.234
#12 · Nashikcell 4870003887
distance 0.236 · cross-district
#13 · Palgharcell 6650003569
distance 0.239
#14 · Nashikcell 4870004327
distance 0.24 · cross-district
#15 · Palgharcell 6650002959
distance 0.243
#16 · Palgharcell 6650002044
distance 0.246
#17 · Palgharcell 6650003706
distance 0.251
#18 · Nashikcell 4870003886
distance 0.252 · 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":6650003633}}}'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.