Bhārata Strata · Maharashtra · Palghar · morphological twins
Places like cell 6650003164
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
0.91
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.139
lower = more alike (weighted)
The twins, closest first
#1 · Palgharcell 6650003466
distance 0.139
#2 · Palgharcell 6650003315
distance 0.209
#3 · Palgharcell 6650003317
distance 0.224
#4 · Palgharcell 6650003313
distance 0.33
#5 · Palgharcell 6650000414
distance 0.386
#6 · Palgharcell 6650003165
distance 0.406
#7 · Sindhudurgcell 4950003953
distance 0.422 · cross-district
#8 · Ratnagiricell 4920001118
distance 0.425 · cross-district
#9 · Palgharcell 6650004351
distance 0.437
#10 · Palgharcell 6650000590
distance 0.438
#11 · Thanecell 4970003040
distance 0.439 · cross-district
#12 · Palgharcell 6650001858
distance 0.445
#13 · Palgharcell 6650001084
distance 0.454
#14 · Ratnagiricell 4920003480
distance 0.464 · cross-district
#15 · Palgharcell 6650000495
distance 0.47
#16 · Palgharcell 6650003390
distance 0.472
#17 · Kolhapurcell 4800003156
distance 0.475 · cross-district
#18 · Palgharcell 6650000455
distance 0.479
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":6650003164}}}'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.