Bhārata Strata · Maharashtra · Palghar · morphological twins
Places like cell 6650000711
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
0.094
lower = more alike (weighted)
The twins, closest first
#1 · Palgharcell 6650000621
distance 0.094
#2 · Palgharcell 6650000952
distance 0.097
#3 · Palgharcell 6650000903
distance 0.113
#4 · Palgharcell 6650000852
distance 0.127
#5 · Palgharcell 6650000574
distance 0.151
#6 · Palgharcell 6650000532
distance 0.163
#7 · Thanecell 4970002965
distance 0.163 · cross-district
#8 · Palgharcell 6650000620
distance 0.168
#9 · Palgharcell 6650000622
distance 0.168
#10 · Palgharcell 6650000619
distance 0.18
#11 · Thanecell 4970002861
distance 0.214 · cross-district
#12 · Palgharcell 6650000666
distance 0.218
#13 · Thanecell 4970002914
distance 0.223 · cross-district
#14 · Palgharcell 6650000669
distance 0.235
#15 · Palgharcell 6650000907
distance 0.25
#16 · Thanecell 4970002750
distance 0.269 · cross-district
#17 · Thanecell 4970002050
distance 0.272 · cross-district
#18 · Thanecell 4970002565
distance 0.275 · 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":6650000711}}}'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.