Bhārata Strata · Maharashtra · Palghar · morphological twins
Places like cell 6650002809
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
0.243
lower = more alike (weighted)
The twins, closest first
#1 · Palgharcell 6650001809
distance 0.243
#2 · Nashikcell 4870000307
distance 0.259 · cross-district
#3 · Palgharcell 6650001890
distance 0.259
#4 · Palgharcell 6650002353
distance 0.278
#5 · Nashikcell 4870005341
distance 0.291 · cross-district
#6 · Palgharcell 6650002358
distance 0.298
#7 · Nashikcell 4870001133
distance 0.309 · cross-district
#8 · Palgharcell 6650003913
distance 0.31
#9 · Palgharcell 6650003772
distance 0.319
#10 · Palgharcell 6650002191
distance 0.324
#11 · Palgharcell 6650003771
distance 0.328
#12 · Nashikcell 4870000860
distance 0.333 · cross-district
#13 · Palgharcell 6650002728
distance 0.338
#14 · Palgharcell 6650003402
distance 0.338
#15 · Nashikcell 4870004625
distance 0.342 · cross-district
#16 · Palgharcell 6650004228
distance 0.343
#17 · Palgharcell 6650002511
distance 0.348
#18 · Nashikcell 4870005646
distance 0.35 · 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":6650002809}}}'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.