Bhārata Strata · Maharashtra · Palghar · morphological twins
Places like cell 6650002810
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
0.197
lower = more alike (weighted)
The twins, closest first
#1 · Nashikcell 4870001131
distance 0.197 · cross-district
#2 · Palgharcell 6650001869
distance 0.214
#3 · Palgharcell 6650002351
distance 0.214
#4 · Palgharcell 6650002954
distance 0.217
#5 · Thanecell 4970003484
distance 0.222 · cross-district
#6 · Palgharcell 6650003259
distance 0.223
#7 · Palgharcell 6650003774
distance 0.227
#8 · Palgharcell 6650004230
distance 0.236
#9 · Nashikcell 4870009691
distance 0.238 · cross-district
#10 · Palgharcell 6650003769
distance 0.255
#11 · Palgharcell 6650003482
distance 0.255
#12 · Nashikcell 4870004477
distance 0.256 · cross-district
#13 · Nashikcell 4870000951
distance 0.257 · cross-district
#14 · Nashikcell 4870001608
distance 0.258 · cross-district
#15 · Palgharcell 6650003843
distance 0.259
#16 · Palgharcell 6650002884
distance 0.259
#17 · Palgharcell 6650002492
distance 0.262
#18 · Palgharcell 6650003848
distance 0.267
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":6650002810}}}'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.