Bhārata Strata · Maharashtra · Palghar · morphological twins
Places like cell 6650000617
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
0.196
lower = more alike (weighted)
The twins, closest first
#1 · Palgharcell 6650001002
distance 0.196
#2 · Palgharcell 6650001001
distance 0.197
#3 · Palgharcell 6650000529
distance 0.28
#4 · Palgharcell 6650000572
distance 0.285
#5 · Palgharcell 6650000528
distance 0.288
#6 · Thanecell 4970003028
distance 0.296 · cross-district
#7 · Palgharcell 6650000950
distance 0.302
#8 · Thanecell 4970003078
distance 0.305 · cross-district
#9 · Palgharcell 6650000762
distance 0.312
#10 · Thanecell 4970003154
distance 0.319 · cross-district
#11 · Palgharcell 6650000803
distance 0.323
#12 · Palgharcell 6650000390
distance 0.324
#13 · Thanecell 4970002046
distance 0.327 · cross-district
#14 · Thanecell 4970002980
distance 0.336 · cross-district
#15 · Palgharcell 6650000760
distance 0.339
#16 · Thanecell 4970001968
distance 0.339 · cross-district
#17 · Palgharcell 6650000485
distance 0.351
#18 · Palgharcell 6650000664
distance 0.355
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":6650000617}}}'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.