Bhārata Strata · Maharashtra · Dharashiv · morphological twins
Places like cell 4880001642
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
0.072
lower = more alike (weighted)
The twins, closest first
#1 · Dharashivcell 4880001464
distance 0.072
#2 · Dharashivcell 4880001444
distance 0.086
#3 · Solapurcell 4960010571
distance 0.086 · cross-district
#4 · Dharashivcell 4880001449
distance 0.087
#5 · Dharashivcell 4880002041
distance 0.091
#6 · Solapurcell 4960010175
distance 0.093 · cross-district
#7 · Dharashivcell 4880001443
distance 0.094
#8 · Dharashivcell 4880001369
distance 0.096
#9 · Dharashivcell 4880001368
distance 0.102
#10 · Dharashivcell 4880002285
distance 0.102
#11 · Dharashivcell 4880001279
distance 0.105
#12 · Dharashivcell 4880001272
distance 0.106
#13 · Dharashivcell 4880001445
distance 0.106
#14 · Dharashivcell 4880002040
distance 0.107
#15 · Dharashivcell 4880005483
distance 0.109
#16 · Dharashivcell 4880006204
distance 0.109
#17 · Dharashivcell 4880006002
distance 0.109
#18 · Solapurcell 4960010018
distance 0.11 · 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":488,"cluster_id":4880001642}}}'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.