candrámā apsv àntár ā́ suparṇó dhāvate diví |
ná vo hiraṇyanemayaḥ padáṃ vindanti vidyuto vittáṃ me asyá rodasī ||89|| {28}
The moon among the waters runs, an eagle in the sky (''dív''); they find not your track, O golden-rimmed lightnings: know me as such, O firmaments (''ródasī'').
William Dwight Whitney (revised and edited by Charles Rockwell Lanman)
WITHIN the waters runs the Moon, he with the beauteous wings in heaven. Ye lightnings with your golden wheels, men find not your abiding-place. Mark this my woe, ye Earth and Heaven.
Ralph T. H. Griffith
The surface that matched
Each passage folds to its own comparison surface. Accents, word breaks and sandhi are removed before comparison.
candrámā apsv àntár ā́ suparṇó dhāvate diví |
ná vo hiraṇyanemayaḥ padáṃ vindanti vidyuto vittáṃ me asyá rodasī ||89|| {28}
The moon among the waters runs, an eagle in the sky (''dív''); they find not your track, O golden-rimmed lightnings: know me as such, O firmaments (''ródasī'').
William Dwight Whitney (revised and edited by Charles Rockwell Lanman)
These links are derived by comparing normalised Sanskrit surfaces. They show that two collections carry the same wording. They are not, by themselves, a demonstrated line of transmission between them, and the direction stored on an edge is a property of how it was built.
Atharvaveda is one of four collections held here. Cross-corpus comparison bottoms out at the weakest shared surface, because a Devanagari text and a romanised text share no code points.
How these were derived2
Parallelism is symmetric and this graph stores it as a directed edge, so these relations are traversed in both directions and each row states which way the stored edge ran. All 1,684 REUSES_TEXT_FROM edges point Samaveda-to-Rigveda, and 1,421 Rigvedic passages have reuse edges only inbound; following the arrow would show those 1,421 verses no reuse at all.
measured
SHARES_ENTITY_VOCABULARY_WITH is not textual parallelism. It means two passages name some of the same registry concepts and says nothing about shared wording, so it is reported with relation_kind=ENTITY_VOCABULARY_OVERLAP and is excluded from textual_total.