Bhārata Strata · Maharashtra · Dharashiv · morphological twins
Places like cell 4880000983
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 4 distinct districts
Index confidence
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.113
lower = more alike (weighted)
The twins, closest first
#1 · Dharashivcell 4880000987
distance 0.113
#2 · Dharashivcell 4880000741
distance 0.144
#3 · Dharashivcell 4880000079
distance 0.148
#4 · Beedcell 4700005270
distance 0.153 · cross-district
#5 · Dharashivcell 4880000665
distance 0.155
#6 · Dharashivcell 4880000730
distance 0.155
#7 · Dharashivcell 4880000814
distance 0.158
#8 · Beedcell 4700007049
distance 0.158 · cross-district
#9 · Dharashivcell 4880001144
distance 0.16
#10 · Dharashivcell 4880000368
distance 0.161
#11 · Laturcell 4810000428
distance 0.164 · cross-district
#12 · Dharashivcell 4880000051
distance 0.17
#13 · Solapurcell 4960003008
distance 0.17 · cross-district
#14 · Dharashivcell 4880000000
distance 0.171
#15 · Dharashivcell 4880000671
distance 0.172
#16 · Dharashivcell 4880000047
distance 0.173
#17 · Dharashivcell 4880005850
distance 0.174
#18 · Dharashivcell 4880000005
distance 0.174
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":4880000983}}}'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.