Bhārata Strata · Maharashtra · Palghar · morphological twins
Places like cell 6650003990
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
0.107
lower = more alike (weighted)
The twins, closest first
#1 · Palgharcell 6650003852
distance 0.107
#2 · Palgharcell 6650003032
distance 0.145
#3 · Palgharcell 6650003920
distance 0.146
#4 · Palgharcell 6650004120
distance 0.152
#5 · Palgharcell 6650003781
distance 0.157
#6 · Palgharcell 6650003922
distance 0.162
#7 · Nashikcell 4870003744
distance 0.175 · cross-district
#8 · Palgharcell 6650003713
distance 0.178
#9 · Nashikcell 4870004183
distance 0.182 · cross-district
#10 · Palgharcell 6650003715
distance 0.183
#11 · Nashikcell 4870004323
distance 0.188 · cross-district
#12 · Nashikcell 4870003600
distance 0.192 · cross-district
#13 · Palgharcell 6650001955
distance 0.193
#14 · Palgharcell 6650002417
distance 0.196
#15 · Nashikcell 4870004176
distance 0.198 · cross-district
#16 · Nashikcell 4870003887
distance 0.2 · cross-district
#17 · Palgharcell 6650002732
distance 0.202
#18 · Palgharcell 6650003850
distance 0.203
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":6650003990}}}'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.