Bhārata Strata · Maharashtra · Palghar · morphological twins
Places like cell 6650004159
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 3 distinct districts
Index confidence
0.9
GUM mean confidence of the anchor (R24)
Dimensions compared
44
morphology-v2 feature dimensions
Closest twin distance
0.311
lower = more alike (weighted)
The twins, closest first
#1 · Palgharcell 6650001027
distance 0.311
#2 · Palgharcell 6650000972
distance 0.317
#3 · Palgharcell 6650001082
distance 0.32
#4 · Palgharcell 6650003889
distance 0.341
#5 · Ratnagiricell 4920001114
distance 0.373 · cross-district
#6 · Palgharcell 6650001137
distance 0.373
#7 · Palgharcell 6650002311
distance 0.377
#8 · Palgharcell 6650002234
distance 0.38
#9 · Palgharcell 6650002385
distance 0.38
#10 · Palgharcell 6650001306
distance 0.385
#11 · Palgharcell 6650001247
distance 0.392
#12 · Palgharcell 6650001830
distance 0.395
#13 · Palgharcell 6650001264
distance 0.396
#14 · Ratnagiricell 4920001612
distance 0.401 · cross-district
#15 · Sindhudurgcell 4950003053
distance 0.418 · cross-district
#16 · Palgharcell 6650002310
distance 0.42
#17 · Ratnagiricell 4920001065
distance 0.421 · cross-district
#18 · Sindhudurgcell 4950003054
distance 0.423 · 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":6650004159}}}'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.