Bhārata Strata · Maharashtra · Palghar · morphological twins
Places like cell 6650004230
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
0.138
lower = more alike (weighted)
The twins, closest first
#1 · Nashikcell 4870004477
distance 0.138 · cross-district
#2 · Palgharcell 6650003848
distance 0.159
#3 · Palgharcell 6650002351
distance 0.184
#4 · Nashikcell 4870003892
distance 0.191 · cross-district
#5 · Palgharcell 6650003479
distance 0.199
#6 · Palgharcell 6650004398
distance 0.215
#7 · Palgharcell 6650003642
distance 0.221
#8 · Nashikcell 4870003890
distance 0.224 · cross-district
#9 · Palgharcell 6650002954
distance 0.228
#10 · Palgharcell 6650003489
distance 0.234
#11 · Palgharcell 6650002810
distance 0.236
#12 · Nashikcell 4870004906
distance 0.24 · cross-district
#13 · Palgharcell 6650002878
distance 0.247
#14 · Nashikcell 4870009284
distance 0.249 · cross-district
#15 · Palgharcell 6650003485
distance 0.253
#16 · Palgharcell 6650004323
distance 0.263
#17 · Nashikcell 4870005344
distance 0.264 · cross-district
#18 · Palgharcell 6650002813
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":6650004230}}}'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.