Bhārata Strata · Maharashtra · Parbhani · morphological twins
Places like cell 4890002371
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
0.102
lower = more alike (weighted)
The twins, closest first
#1 · Parbhanicell 4890002451
distance 0.102
#2 · Parbhanicell 4890001786
distance 0.133
#3 · Parbhanicell 4890002202
distance 0.151
#4 · Parbhanicell 4890002532
distance 0.152
#5 · Parbhanicell 4890002778
distance 0.153
#6 · Parbhanicell 4890002453
distance 0.153
#7 · Hingolicell 4770000197
distance 0.154 · cross-district
#8 · Hingolicell 4770000104
distance 0.155 · cross-district
#9 · Parbhanicell 4890002278
distance 0.155
#10 · Parbhanicell 4890002616
distance 0.156
#11 · Hingolicell 4770000285
distance 0.165 · cross-district
#12 · Parbhanicell 4890002446
distance 0.167
#13 · Parbhanicell 4890001789
distance 0.17
#14 · Parbhanicell 4890001692
distance 0.171
#15 · Parbhanicell 4890002611
distance 0.173
#16 · Parbhanicell 4890002779
distance 0.177
#17 · Parbhanicell 4890002956
distance 0.177
#18 · Hingolicell 4770000196
distance 0.178 · 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":4890002371}}}'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.