Bhārata Strata · Maharashtra · Dharashiv · morphological twins
Places like cell 4880001231
The MH-36 locality cells most similar to this Dharashiv 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
0.93
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 · Dharashivcell 4880001676
distance 0.052
#2 · Laturcell 4810000675
distance 0.057 · cross-district
#3 · Dharashivcell 4880002092
distance 0.058
#4 · Dharashivcell 4880002168
distance 0.059
#5 · Laturcell 4810000607
distance 0.064 · cross-district
#6 · Dharashivcell 4880001321
distance 0.07
#7 · Dharashivcell 4880001320
distance 0.071
#8 · Dharashivcell 4880002165
distance 0.075
#9 · Dharashivcell 4880001839
distance 0.075
#10 · Laturcell 4810000438
distance 0.076 · cross-district
#11 · Dharashivcell 4880002011
distance 0.079
#12 · Dharashivcell 4880001590
distance 0.081
#13 · Dharashivcell 4880002319
distance 0.083
#14 · Dharashivcell 4880002170
distance 0.089
#15 · Dharashivcell 4880001756
distance 0.092
#16 · Dharashivcell 4880001925
distance 0.096
#17 · Laturcell 4810000618
distance 0.096 · cross-district
#18 · Dharashivcell 4880001855
distance 0.096
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":488,"cluster_id":4880001231}}}'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.