Bhārata Strata · Maharashtra · Palghar · morphological twins
Places like cell 6650001443
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 5 distinct districts
Index confidence
0.9
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.263
lower = more alike (weighted)
The twins, closest first
#1 · Palgharcell 6650001048
distance 0.263
#2 · Palgharcell 6650001516
distance 0.308
#3 · Palgharcell 6650001105
distance 0.314
#4 · Palgharcell 6650001375
distance 0.319
#5 · Palgharcell 6650001596
distance 0.399
#6 · Thanecell 4970003489
distance 0.407 · cross-district
#7 · Palgharcell 6650001112
distance 0.422
#8 · Palgharcell 6650001029
distance 0.426
#9 · Palgharcell 6650003580
distance 0.432
#10 · Mumbai Suburbancell 4830000196
distance 0.437 · cross-district
#11 · Palgharcell 6650001781
distance 0.444
#12 · Palgharcell 6650001313
distance 0.445
#13 · Palgharcell 6650001518
distance 0.446
#14 · Ratnagiricell 4920000139
distance 0.447 · cross-district
#15 · Palgharcell 6650001677
distance 0.45
#16 · Raigadcell 4910005522
distance 0.45 · cross-district
#17 · Raigadcell 4910004914
distance 0.451 · cross-district
#18 · Palgharcell 6650000862
distance 0.451
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":6650001443}}}'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.