Bhārata Strata · Maharashtra · Parbhani · morphological twins
Places like cell 4890004272
The MH-36 locality cells most similar to this Parbhani 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
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.048
lower = more alike (weighted)
The twins, closest first
#1 · Parbhanicell 4890003926
distance 0.048
#2 · Parbhanicell 4890004329
distance 0.051
#3 · Parbhanicell 4890003924
distance 0.066
#4 · Parbhanicell 4890003988
distance 0.07
#5 · Parbhanicell 4890004278
distance 0.072
#6 · Parbhanicell 4890004656
distance 0.073
#7 · Parbhanicell 4890004050
distance 0.073
#8 · Parbhanicell 4890004220
distance 0.083
#9 · Jalnacell 4790002060
distance 0.086 · cross-district
#10 · Jalnacell 4790001978
distance 0.09 · cross-district
#11 · Parbhanicell 4890004474
distance 0.091
#12 · Jalnacell 4790002824
distance 0.092 · cross-district
#13 · Parbhanicell 4890004752
distance 0.093
#14 · Parbhanicell 4890004386
distance 0.095
#15 · Jalnacell 4790002059
distance 0.096 · cross-district
#16 · Parbhanicell 4890003862
distance 0.097
#17 · Parbhanicell 4890004528
distance 0.098
#18 · Parbhanicell 4890004609
distance 0.104
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":489,"cluster_id":4890004272}}}'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.