Bhārata Strata · Maharashtra · Parbhani · morphological twins
Places like cell 4890004161
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
0.052
lower = more alike (weighted)
The twins, closest first
#1 · Parbhanicell 4890003983
distance 0.052
#2 · Parbhanicell 4890003792
distance 0.07
#3 · Parbhanicell 4890003793
distance 0.07
#4 · Parbhanicell 4890003608
distance 0.075
#5 · Parbhanicell 4890003733
distance 0.075
#6 · Jalnacell 4790001627
distance 0.077 · cross-district
#7 · Parbhanicell 4890004045
distance 0.078
#8 · Parbhanicell 4890004162
distance 0.081
#9 · Jalnacell 4790001474
distance 0.082 · cross-district
#10 · Parbhanicell 4890003918
distance 0.084
#11 · Parbhanicell 4890003730
distance 0.084
#12 · Jalnacell 4790001706
distance 0.087 · cross-district
#13 · Parbhanicell 4890004046
distance 0.09
#14 · Parbhanicell 4890003729
distance 0.091
#15 · Jalnacell 4790000495
distance 0.092 · cross-district
#16 · Parbhanicell 4890003612
distance 0.097
#17 · Parbhanicell 4890003920
distance 0.098
#18 · Jalnacell 4790001629
distance 0.098 · 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":489,"cluster_id":4890004161}}}'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.