Bhārata Strata · Maharashtra · Dharashiv · morphological twins
Places like cell 4880002176
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
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.041
lower = more alike (weighted)
The twins, closest first
#1 · Dharashivcell 4880001691
distance 0.041
#2 · Dharashivcell 4880001589
distance 0.058
#3 · Dharashivcell 4880002099
distance 0.06
#4 · Laturcell 4810000550
distance 0.065 · cross-district
#5 · Dharashivcell 4880001921
distance 0.065
#6 · Dharashivcell 4880001500
distance 0.066
#7 · Dharashivcell 4880001591
distance 0.066
#8 · Laturcell 4810000554
distance 0.068 · cross-district
#9 · Laturcell 4810000555
distance 0.068 · cross-district
#10 · Dharashivcell 4880001410
distance 0.069
#11 · Dharashivcell 4880002006
distance 0.069
#12 · Dharashivcell 4880002020
distance 0.07
#13 · Dharashivcell 4880001499
distance 0.07
#14 · Laturcell 4810000611
distance 0.071 · cross-district
#15 · Dharashivcell 4880001770
distance 0.071
#16 · Dharashivcell 4880001327
distance 0.073
#17 · Dharashivcell 4880001771
distance 0.073
#18 · Dharashivcell 4880002026
distance 0.075
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":4880002176}}}'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.