Bhārata Strata · Maharashtra · Palghar · morphological twins
Places like cell 6650001633
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
45
morphology-v2 feature dimensions
Closest twin distance
0.147
lower = more alike (weighted)
The twins, closest first
#1 · Palgharcell 6650004365
distance 0.147
#2 · Palgharcell 6650001715
distance 0.175
#3 · Thanecell 4970003384
distance 0.206 · cross-district
#4 · Palgharcell 6650001716
distance 0.209
#5 · Palgharcell 6650002580
distance 0.214
#6 · Palgharcell 6650001717
distance 0.217
#7 · Palgharcell 6650002336
distance 0.229
#8 · Thanecell 4970003446
distance 0.229 · cross-district
#9 · Thanecell 4970003469
distance 0.234 · cross-district
#10 · Palgharcell 6650001891
distance 0.241
#11 · Nashikcell 4870000616
distance 0.244 · cross-district
#12 · Palgharcell 6650001718
distance 0.244
#13 · Palgharcell 6650001798
distance 0.25
#14 · Palgharcell 6650002413
distance 0.252
#15 · Nashikcell 4870001600
distance 0.257 · cross-district
#16 · Thanecell 4970002310
distance 0.258 · cross-district
#17 · Palgharcell 6650002820
distance 0.261
#18 · Palgharcell 6650001423
distance 0.261
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":6650001633}}}'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.