Bhārata Strata · Maharashtra · Dharashiv · morphological twins
Places like cell 4880004467
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 3 distinct districts
Index confidence
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.11
lower = more alike (weighted)
The twins, closest first
#1 · Dharashivcell 4880004303
distance 0.11
#2 · Beedcell 4700000163
distance 0.119 · cross-district
#3 · Dharashivcell 4880004919
distance 0.121
#4 · Solapurcell 4960012243
distance 0.138 · cross-district
#5 · Dharashivcell 4880005016
distance 0.143
#6 · Dharashivcell 4880005402
distance 0.147
#7 · Dharashivcell 4880004553
distance 0.147
#8 · Beedcell 4700000071
distance 0.148 · cross-district
#9 · Dharashivcell 4880005213
distance 0.149
#10 · Dharashivcell 4880004726
distance 0.151
#11 · Dharashivcell 4880004636
distance 0.154
#12 · Solapurcell 4960004612
distance 0.154 · cross-district
#13 · Dharashivcell 4880004922
distance 0.156
#14 · Dharashivcell 4880004709
distance 0.158
#15 · Dharashivcell 4880000760
distance 0.158
#16 · Dharashivcell 4880004466
distance 0.159
#17 · Dharashivcell 4880005499
distance 0.159
#18 · Dharashivcell 4880002725
distance 0.16
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":4880004467}}}'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.