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             <pre id="bibtex" class="bg-gray-100 p-4 rounded-lg text-sm whitespace-pre-wrap break-words overflow-x-auto text-left">
-@misc{chen2025pledgetrackermonitoringfulfilmentpledges,
-    title={PledgeTracker: A System for Monitoring the Fulfilment of Pledges}, 
-    author={Yulong Chen and Michael Sejr Schlichtkrull and Zhenyun Deng and David Corney and Nasim Asl and Joshua Salisbury and Andrew Dudfield and Andreas Vlachos},
-    year={2025},
-    eprint={2509.11804},
-    archivePrefix={arXiv},
-    primaryClass={cs.CL},
-    url={https://arxiv.org/abs/2509.11804}, 
-  }    </pre>
+@inproceedings{chen-etal-2025-pledgetracker,
+    title = "{P}ledge{T}racker: A System for Monitoring the Fulfilment of Pledges",
+    author = "Chen, Yulong  and
+      Schlichtkrull, Michael Sejr  and
+      Deng, Zhenyun  and
+      Corney, David  and
+      Asl, Nasim  and
+      Salisbury, Joshua  and
+      Dudfield, Andrew  and
+      Vlachos, Andreas",
+    editor = {Habernal, Ivan  and
+      Schulam, Peter  and
+      Tiedemann, J{\"o}rg},
+    booktitle = "Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing: System Demonstrations",
+    month = nov,
+    year = "2025",
+    address = "Suzhou, China",
+    publisher = "Association for Computational Linguistics",
+    url = "https://aclanthology.org/2025.emnlp-demos.64/",
+    doi = "10.18653/v1/2025.emnlp-demos.64",
+    pages = "839--850",
+    ISBN = "979-8-89176-334-0",
+    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 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."
+}   </pre>
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