Bhārata Strata · Maharashtra · Palghar · morphological twins
Places like cell 6650000727
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
0.91
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.327
lower = more alike (weighted)
The twins, closest first
#1 · Palgharcell 6650001337
distance 0.327
#2 · Ratnagiricell 4920001572
distance 0.377 · cross-district
#3 · Palgharcell 6650000874
distance 0.404
#4 · Palgharcell 6650000728
distance 0.405
#5 · Palgharcell 6650001397
distance 0.408
#6 · Palgharcell 6650001398
distance 0.409
#7 · Palgharcell 6650001468
distance 0.414
#8 · Palgharcell 6650000683
distance 0.418
#9 · Palgharcell 6650003729
distance 0.423
#10 · Palgharcell 6650001401
distance 0.428
#11 · Ratnagiricell 4920002030
distance 0.432 · cross-district
#12 · Palgharcell 6650001160
distance 0.433
#13 · Ratnagiricell 4920003033
distance 0.435 · cross-district
#14 · Palgharcell 6650001400
distance 0.437
#15 · Raigadcell 4910004869
distance 0.44 · cross-district
#16 · Palgharcell 6650000765
distance 0.44
#17 · Palgharcell 6650001241
distance 0.44
#18 · Ratnagiricell 4920002804
distance 0.443 · 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":6650000727}}}'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.