{"ID":2870868,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2509.11804","arxiv_id":"2509.11804","title":"PledgeTracker: A System for Monitoring the Fulfilment of Pledges","abstract":"Political pledges reflect candidates' policy commitments, but tracking their fulfilment requires reasoning over incremental evidence distributed across multiple, dynamically updated sources. Existing methods simplify this task into a document classification task, overlooking its dynamic, temporal and multi-document nature. To address this issue, we introduce \\textsc{PledgeTracker}, a system that reformulates pledge verification into structured event timeline construction. PledgeTracker consists of three core components: (1) a multi-step evidence retrieval module; (2) a timeline construction module and; (3) a fulfilment filtering module, allowing the capture of the evolving nature of pledge fulfilment and producing interpretable and structured timelines. We evaluate PledgeTracker in collaboration with professional fact-checkers in real-world workflows, demonstrating its effectiveness in retrieving relevant evidence and reducing human verification effort.","short_abstract":"Political pledges reflect candidates' policy commitments, but tracking their fulfilment requires reasoning over incremental evidence distributed across multiple, dynamically updated sources. Existing methods simplify this task into a document classification task, overlooking its dynamic, temporal and multi-document nat...","url_abs":"https://arxiv.org/abs/2509.11804","url_pdf":"https://arxiv.org/pdf/2509.11804v1","authors":"[\"Yulong Chen\",\"Michael Sejr Schlichtkrull\",\"Zhenyun Deng\",\"David Corney\",\"Nasim Asl\",\"Joshua Salisbury\",\"Andrew Dudfield\",\"Andreas Vlachos\"]","published":"2025-09-15T11:37:47Z","proceeding":"cs.CL","tasks":"[\"cs.CL\"]","methods":"[]","has_code":false}