Bhārata Strata · Maharashtra · Palghar · morphological twins
Places like cell 6650004157
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
44
morphology-v2 feature dimensions
Closest twin distance
0.208
lower = more alike (weighted)
The twins, closest first
#1 · Palgharcell 6650003896
distance 0.208
#2 · Palgharcell 6650004095
distance 0.209
#3 · Palgharcell 6650003831
distance 0.31
#4 · Palgharcell 6650001189
distance 0.332
#5 · Palgharcell 6650001992
distance 0.347
#6 · Ratnagiricell 4920001923
distance 0.348 · cross-district
#7 · Palgharcell 6650003968
distance 0.355
#8 · Ratnagiricell 4920001776
distance 0.365 · cross-district
#9 · Palgharcell 6650004096
distance 0.374
#10 · Ratnagiricell 4920002667
distance 0.38 · cross-district
#11 · Palgharcell 6650003062
distance 0.381
#12 · Palgharcell 6650002947
distance 0.382
#13 · Ratnagiricell 4920001725
distance 0.384 · cross-district
#14 · Palgharcell 6650003967
distance 0.385
#15 · Ratnagiricell 4920001626
distance 0.389 · cross-district
#16 · Palgharcell 6650003971
distance 0.389
#17 · Palgharcell 6650002687
distance 0.395
#18 · Palgharcell 6650003901
distance 0.395
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":6650004157}}}'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.