Word-Level Text Unmixing via Evidence-Preserving Ownership Routing with Language Models.
arXiv:2610.06603v1 Announce Type: cross Abstract: Text from multiple sources can become interleaved into a single sequence when attribution metadata is lost, such as overlapping speech transcripts, document reading flows, or concurrent agent streams. We formal
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