Why and Where: A Characterization of Data Provenance
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All updates are logged with provenance to ensure the evolution process remains auditable.
“All updates are logged with provenance to ensure the evolution process remains auditable [2, 26, 9].”
From SEDM: Scalable Self-Evolving Distributed Memory for Agents (2025) · cites this paper as [2]
The available indexed passages are bibliographic metadata, with no section or page of paper text addressing update logs or auditability. Searches for provenance-logged updates, audit trails, and database update history returned no passage that speaks to the claim. (LLM, conf=0.74)
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Finin, T., Mayfield, J., Joshi, A., Cost, R. S., & Fink, C. (2005) · Hawaii International Conference on System Sciences (HICSS) · doi:10.1109/hicss.2005.319 · Cited by 94 · see citing works
Provenance as first class cloud data
Muniswamy‐Reddy, K., & Seltzer, M. (2010) · ACM SIGOPS Operating Systems Review · doi:10.1145/1713254.1713258 · Cited by 93 · see citing works
Reconciling while tolerating disagreement in collaborative data sharing
Taylor, N. E., & Ives, Z. G. (2006) · ACM SIGMOD International Conference on Management of Data (SIGMOD) · doi:10.1145/1142473.1142476 · Cited by 93 · see citing works
- Authors
- Buneman, P., Khanna, S., & Wang-Chiew, T.
- Affiliations
- University of Pennsylvania (US)
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer Berlin Heidelberg
- Published
- 2001
- Pages
- 316-330
- ISSN
- 0302-9743 (ISSN-L)
- OpenAlex
- W1552694902
- Cited by
- 1,334
- References
- 15
- Citations by year
- 2026: 54 · 2025: 30 · 2024: 29 · 2023: 33 · 2022: 45 · 2021: 47 · 2020: 54 · 2019: 59 · 2018: 54 · 2017: 57 · 2016: 61 · 2015: 57 · 2014: 58 · 2013: 80 · 2012: 81
- FWCI
- 9.63
- Type
- conference paper
- Language
- en
- Open access
- green
- hdl.handle.net
- Licence
- other-oa
- Locations
- Lecture notes in computer science (publishedVersion)
- ScholarlyCommons (University of Pennsylvania) (submittedVersion)
- Edinburgh Research Explorer (University of Edinburgh) (submittedVersion, other-oa)
- Topics
- Physical Sciences › Computer Science › Computer Networks and Communications › Advanced Database Systems and Queries
- Social Sciences › Decision Sciences › Information Systems and Management › Scientific Computing and Data Management
- Physical Sciences › Computer Science › Artificial Intelligence › Semantic Web and Ontologies
- Keywords
- data provenance, database views, relational databases, XML data, hierarchical data
About these checks
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.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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