Bhārata Strata · Maharashtra · Palghar · morphological twins
Places like cell 6650004176
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
0.277
lower = more alike (weighted)
The twins, closest first
#1 · Palgharcell 6650004233
distance 0.277
#2 · Palgharcell 6650004362
distance 0.328
#3 · Nashikcell 4870004033
distance 0.342 · cross-district
#4 · Palgharcell 6650001966
distance 0.343
#5 · Palgharcell 6650003018
distance 0.355
#6 · Palgharcell 6650004179
distance 0.359
#7 · Palgharcell 6650004177
distance 0.361
#8 · Palgharcell 6650003779
distance 0.362
#9 · Palgharcell 6650004114
distance 0.367
#10 · Palgharcell 6650002355
distance 0.369
#11 · Nashikcell 4870000306
distance 0.374 · cross-district
#12 · Palgharcell 6650002511
distance 0.376
#13 · Nashikcell 4870000097
distance 0.377 · cross-district
#14 · Palgharcell 6650004284
distance 0.38
#15 · Nashikcell 4870003753
distance 0.382 · cross-district
#16 · Nashikcell 4870003190
distance 0.383 · cross-district
#17 · Palgharcell 6650003635
distance 0.386
#18 · Nashikcell 4870005645
distance 0.386 · 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":6650004176}}}'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.