Bhārata Strata · Maharashtra · Parbhani · morphological twins
Places like cell 4890002176
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 4 distinct districts
Index confidence
0.91
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.162
lower = more alike (weighted)
The twins, closest first
#1 · Parbhanicell 4890003528
distance 0.162
#2 · Parbhanicell 4890003242
distance 0.172
#3 · Parbhanicell 4890003382
distance 0.176
#4 · Parbhanicell 4890003460
distance 0.176
#5 · Parbhanicell 4890003009
distance 0.183
#6 · Parbhanicell 4890002259
distance 0.187
#7 · Parbhanicell 4890003465
distance 0.188
#8 · Parbhanicell 4890002670
distance 0.191
#9 · Parbhanicell 4890001834
distance 0.205
#10 · Beedcell 4700005979
distance 0.206 · cross-district
#11 · Parbhanicell 4890004610
distance 0.206
#12 · Hingolicell 4770000493
distance 0.211 · cross-district
#13 · Parbhanicell 4890002585
distance 0.218
#14 · Parbhanicell 4890003093
distance 0.219
#15 · Beedcell 4700002863
distance 0.219 · cross-district
#16 · Beedcell 4700002350
distance 0.219 · cross-district
#17 · Jalnacell 4790002134
distance 0.22 · cross-district
#18 · Parbhanicell 4890003405
distance 0.22
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":4890002176}}}'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.