Bhārata Strata · Maharashtra · Parbhani · morphological twins
Places like cell 4890004469
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
0.049
lower = more alike (weighted)
The twins, closest first
#1 · Parbhanicell 4890004659
distance 0.049
#2 · Parbhanicell 4890004009
distance 0.051
#3 · Parbhanicell 4890004749
distance 0.052
#4 · Parbhanicell 4890004163
distance 0.056
#5 · Parbhanicell 4890004318
distance 0.059
#6 · Jalnacell 4790001737
distance 0.06 · cross-district
#7 · Parbhanicell 4890003676
distance 0.062
#8 · Parbhanicell 4890004064
distance 0.065
#9 · Jalnacell 4790001579
distance 0.067 · cross-district
#10 · Jalnacell 4790001655
distance 0.07 · cross-district
#11 · Parbhanicell 4890004319
distance 0.07
#12 · Parbhanicell 4890004231
distance 0.071
#13 · Jalnacell 4790001732
distance 0.072 · cross-district
#14 · Parbhanicell 4890004740
distance 0.074
#15 · Parbhanicell 4890004418
distance 0.076
#16 · Parbhanicell 4890004703
distance 0.082
#17 · Jalnacell 4790002235
distance 0.083 · cross-district
#18 · Parbhanicell 4890003744
distance 0.084
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":4890004469}}}'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.