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On the Discovery of Evolving Truth
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Research works printed but not linked: 26
- D. P. Bertsekas . Non-linear Programming . Athena Scientific , 2 edition, 1999 . D. P. Bertsekas. Non-linear Programming. Athena Scientific, 2 edition, 1999.
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Tschiatschek, S., Singla, A., Gomez Rodriguez, M., Merchant, A., & Krause, A. (2018) · Companion of the The Web Conference 2018 on The Web Conference 2018 - WWW '18 · doi:10.1145/3184558.3188722 · Cited by 229
Credibility Assessment of Textual Claims on the Web
Popat, K., Mukherjee, S., Strötgen, J., & Weikum, G. (2016) · Proceedings of the 25th ACM International on Conference on Information and Knowledge Management · doi:10.1145/2983323.2983661 · Cited by 177
Metadata
- Authors
- Li, Y., Li, Q., Gao, J., Su, L., Zhao, B., Fan, W., & Han, J.
- Venue
- Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
- Publisher
- ACM
- Published
- 2015-08-10
- Pages
- 675-684
- Cited by
- 115
- References
- 0
- Funders
- National Institute of General Medical Sciences (1U54GM114838)
- U.S. Army Research Laboratory (W911NF-09-2-0053)
- National Science Foundation (IIS-1319973, IIS-1017362, IIS-1320617, IIS-1354329, HDTRA1-10-1-0120)
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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- CoChat. (2026). Citation check: On the Discovery of Evolving Truth. https://app.cochat.ai/papers/10.1145/2783258.2783277
- The paper
- Li, Y., Li, Q., Gao, J., Su, L., Zhao, B., Fan, W., & Han, J. (2015). On the Discovery of Evolving Truth. Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. https://doi.org/10.1145/2783258.2783277
