Bhārata Strata · Maharashtra · Palghar · morphological twins
Places like cell 6650002270
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
0.113
lower = more alike (weighted)
The twins, closest first
#1 · Palgharcell 6650001964
distance 0.113
#2 · Palgharcell 6650002514
distance 0.252
#3 · Palgharcell 6650002502
distance 0.261
#4 · Nashikcell 4870001516
distance 0.263 · cross-district
#5 · Palgharcell 6650004174
distance 0.266
#6 · Thanecell 4970003515
distance 0.271 · cross-district
#7 · Nashikcell 4870001617
distance 0.285 · cross-district
#8 · Palgharcell 6650002503
distance 0.286
#9 · Nashikcell 4870000488
distance 0.287 · cross-district
#10 · Palgharcell 6650002584
distance 0.297
#11 · Nashikcell 4870000368
distance 0.298 · cross-district
#12 · Palgharcell 6650004124
distance 0.299
#13 · Palgharcell 6650001977
distance 0.3
#14 · Palgharcell 6650002278
distance 0.301
#15 · Palgharcell 6650004173
distance 0.302
#16 · Nashikcell 4870000364
distance 0.307 · cross-district
#17 · Palgharcell 6650002267
distance 0.309
#18 · Palgharcell 6650004180
distance 0.312
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":6650002270}}}'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.