Bhārata Strata · Maharashtra · Palghar · morphological twins
Places like cell 6650003313
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
0.91
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.236
lower = more alike (weighted)
The twins, closest first
#1 · Palgharcell 6650003317
distance 0.236
#2 · Palgharcell 6650003466
distance 0.254
#3 · Palgharcell 6650003165
distance 0.265
#4 · Palgharcell 6650003164
distance 0.33
#5 · Ratnagiricell 4920003253
distance 0.354 · cross-district
#6 · Palgharcell 6650001084
distance 0.362
#7 · Palgharcell 6650001016
distance 0.362
#8 · Palgharcell 6650003315
distance 0.368
#9 · Palgharcell 6650000590
distance 0.386
#10 · Ratnagiricell 4920003618
distance 0.398 · cross-district
#11 · Ratnagiricell 4920003156
distance 0.399 · cross-district
#12 · Palgharcell 6650003235
distance 0.41
#13 · Palgharcell 6650003229
distance 0.411
#14 · Palgharcell 6650000538
distance 0.414
#15 · Palgharcell 6650000826
distance 0.42
#16 · Ratnagiricell 4920002337
distance 0.422 · cross-district
#17 · Palgharcell 6650001519
distance 0.431
#18 · Ratnagiricell 4920003344
distance 0.431 · 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":6650003313}}}'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.