The DOI matches its Crossref record.
Linear Road
Overview
The claims and statistics of this paper haven’t been checked yet.
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Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
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Citations
Cited by
Benchmarking scalability of stream processing frameworks deployed as microservices in the cloud
Henning, S., & Hasselbring, W. (2024) · Journal of Systems and Software · doi:10.1016/j.jss.2023.111879 · Cited by 85
DSPBench: A suite of benchmark applications for distributed data stream processing systems
Bordin, M. V., Griebler, D., Mencagli, G., Geyer, C. F. R., & Fernandes, L. G. L. (2020) · IEEE Access · doi:10.1109/access.2020.3043948 · Cited by 63
ESPBench: The Enterprise Stream Processing Benchmark
Hesse, G., Matthies, C., Perscheid, M., Uflacker, M., & Plattner, H. (2021) · Proceedings of the ACM/SPEC International Conference on Performance Engineering · doi:10.1145/3427921.3450242 · Cited by 27
Quantitative Impact Evaluation of an Abstraction Layer for Data Stream Processing Systems
Hesse, G., Matthies, C., Glass, K., Huegle, J., & Uflacker, M. (2019) · 2019 IEEE 39th International Conference on Distributed Computing Systems (ICDCS) · doi:10.1109/icdcs.2019.00138 · Cited by 17
Metadata
- Authors
- Arasu, A., Maskey, A. S., Cherniack, M., Ryvkina, E., Galvez, E., Stonebraker, M., Maier, D., & Tibbetts, R.
- Venue
- Proceedings 2004 VLDB Conference
- Publisher
- Elsevier
- Published
- 2004
- Pages
- 480-491
- OpenAlex
- W2112215401
- Cited by
- 322
- References
- 0
- FWCI
- 5.23
- Type
- conference paper
- Language
- en
- Open access
- closed
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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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Linear Road. https://app.cochat.ai/papers/10.1016/b978-012088469-8.50044-9
- The paper
- Arasu, A., Maskey, A. S., Cherniack, M., Ryvkina, E., Galvez, E., Stonebraker, M., Maier, D., & Tibbetts, R. (2004). Linear Road. Proceedings 2004 VLDB Conference. https://doi.org/10.1016/b978-012088469-8.50044-9
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
