Bhārata Strata · Maharashtra · Raigad · morphological twins
Places like cell 4910000734
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 4 distinct districts
Index confidence
0.9
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.32
lower = more alike (weighted)
The twins, closest first
#1 · Raigadcell 4910001925
distance 0.32
#2 · Raigadcell 4910002030
distance 0.372
#3 · Raigadcell 4910000667
distance 0.378
#4 · Raigadcell 4910000670
distance 0.398
#5 · Raigadcell 4910000735
distance 0.409
#6 · Raigadcell 4910001940
distance 0.415
#7 · Raigadcell 4910002031
distance 0.417
#8 · Raigadcell 4910002029
distance 0.423
#9 · Ratnagiricell 4920003528
distance 0.435 · cross-district
#10 · Raigadcell 4910000736
distance 0.442
#11 · Raigadcell 4910000607
distance 0.446
#12 · Raigadcell 4910003022
distance 0.456
#13 · Beedcell 4700003145
distance 0.461 · cross-district
#14 · Ratnagiricell 4920006039
distance 0.462 · cross-district
#15 · Sindhudurgcell 4950003953
distance 0.463 · cross-district
#16 · Ratnagiricell 4920003295
distance 0.464 · cross-district
#17 · Ratnagiricell 4920005054
distance 0.465 · cross-district
#18 · Raigadcell 4910001702
distance 0.467
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":4910000734}}}'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.