Bhārata Strata · Maharashtra · Palghar · morphological twins
Places like cell 6650002282
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
0.203
lower = more alike (weighted)
The twins, closest first
#1 · Palgharcell 6650001653
distance 0.203
#2 · Palgharcell 6650002205
distance 0.208
#3 · Palgharcell 6650002127
distance 0.211
#4 · Nashikcell 4870001610
distance 0.225 · cross-district
#5 · Palgharcell 6650003184
distance 0.228
#6 · Nashikcell 4870001225
distance 0.233 · cross-district
#7 · Nashikcell 4870000866
distance 0.243 · cross-district
#8 · Palgharcell 6650002738
distance 0.25
#9 · Palgharcell 6650002054
distance 0.254
#10 · Nashikcell 4870001615
distance 0.254 · cross-district
#11 · Nashikcell 4870000954
distance 0.256 · cross-district
#12 · Palgharcell 6650003567
distance 0.257
#13 · Nashikcell 4870000956
distance 0.26 · cross-district
#14 · Palgharcell 6650003021
distance 0.262
#15 · Palgharcell 6650003263
distance 0.267
#16 · Palgharcell 6650001973
distance 0.267
#17 · Palgharcell 6650002587
distance 0.267
#18 · Palgharcell 6650003246
distance 0.268
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":6650002282}}}'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.