Bhārata Strata · Maharashtra · Raigad · morphological twins
Places like cell 4910002621
The MH-36 locality cells most similar to this Raigad 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
0.25
lower = more alike (weighted)
The twins, closest first
#1 · Raigadcell 4910002719
distance 0.25
#2 · Raigadcell 4910002771
distance 0.299
#3 · Raigadcell 4910002720
distance 0.305
#4 · Ratnagiricell 4920004639
distance 0.307 · cross-district
#5 · Raigadcell 4910000967
distance 0.31
#6 · Raigadcell 4910002671
distance 0.313
#7 · Ratnagiricell 4920003761
distance 0.32 · cross-district
#8 · Raigadcell 4910001029
distance 0.325
#9 · Ratnagiricell 4920006681
distance 0.33 · cross-district
#10 · Ratnagiricell 4920003710
distance 0.33 · cross-district
#11 · Raigadcell 4910000790
distance 0.338
#12 · Raigadcell 4910001355
distance 0.339
#13 · Raigadcell 4910000970
distance 0.34
#14 · Raigadcell 4910002770
distance 0.341
#15 · Raigadcell 4910000951
distance 0.342
#16 · Raigadcell 4910001732
distance 0.347
#17 · Ratnagiricell 4920005841
distance 0.351 · cross-district
#18 · Ratnagiricell 4920006870
distance 0.352 · 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":491,"cluster_id":4910002621}}}'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.