Bhārata Strata · Maharashtra · Palghar · morphological twins
Places like cell 6650000766
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
0.91
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.193
lower = more alike (weighted)
The twins, closest first
#1 · Palgharcell 6650000671
distance 0.193
#2 · Thanecell 4970002241
distance 0.233 · cross-district
#3 · Palgharcell 6650000868
distance 0.236
#4 · Thanecell 4970002163
distance 0.236 · cross-district
#5 · Palgharcell 6650000624
distance 0.245
#6 · Palgharcell 6650000723
distance 0.246
#7 · Thanecell 4970000935
distance 0.251 · cross-district
#8 · Palgharcell 6650000768
distance 0.251
#9 · Palgharcell 6650000767
distance 0.26
#10 · Palgharcell 6650000533
distance 0.26
#11 · Palgharcell 6650000867
distance 0.264
#12 · Thanecell 4970002240
distance 0.265 · cross-district
#13 · Thanecell 4970002316
distance 0.266 · cross-district
#14 · Thanecell 4970002388
distance 0.268 · cross-district
#15 · Palgharcell 6650000342
distance 0.269
#16 · Palgharcell 6650000718
distance 0.271
#17 · Palgharcell 6650001739
distance 0.272
#18 · Palgharcell 6650003201
distance 0.286
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":6650000766}}}'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.