The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Mobility-Aware Sensing Data Orchestration for Communication-Efficient Cooperative Perception
Overview
Integrity signals
Registry
Cites
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Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Reinforcement-learning-based control shifts the computationally intensive process of policy optimization to pre-deployment training.
“Reinforcement-learning-based control shifts the computationally intensive process of policy optimization to pre-deployment training (Liu et al. 2021; Hou et al. 2026).”
From Mitigating Bus Bunching with Reinforcement Learning Enhanced by Semantic Stop Embedding (2026) · cites this paper as Hou et al. 2026
Citations
Cites
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
Ren, S., He, K., Girshick, R., & Sun, J. (2017) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2016.2577031 · Cited by 73,472 · cited 1×
“Object detection is performed using Faster R-CNN [13], which generates the CMs for each vehicle and serves as the basis for our evaluation.”
Flagged first, then by citations
Research works printed but not linked: 12
- 10.1109/MITS.2023.3298534 · DOI
- 10.1109/ICCC62479.2024.10682039 · DOI
- 10.1109/TITS.2022.3163657 · DOI
- 10.1109/ICMC60390.2024.00016 · DOI
- 10.1109/JPROC.2025.3600903 · DOI
- 10.1109/WACV45572.2020.9093584 · DOI · Paper page
- 10.52202/068431-0352 · DOI
- 10.1109/TVT.2021.3062653 · DOI
- 10.1061/9780784483565.030 · DOI
- 10.1109/CVPR.2017.690 · DOI · Paper page
- 10.1145/3340531.3411940 · DOI
- 10.1109/LRA.2022.3192802 · DOI
Cited by
Sorted by citations
Mitigating Bus Bunching with Reinforcement Learning Enhanced by Semantic Stop Embedding
Dong, X., & Gayah, V. V. (2026) · arXiv · doi:10.48550/arxiv.2608.10207
Metadata
- Authors
- Hou, P., Ding, Y., Li, M., & Cheng, Y.
- Affiliations
- Lehigh University,Department of Computer Science and Engineering,Bethlehem,PA,USA,18015
- Illinois Institute of Technology,Department of Electrical and Computer Engineering,Chicago,IL,USA,60616
- Venue
- 2026 International Conference on Computing, Networking and Communications (ICNC)
- Publisher
- IEEE
- Published
- 2026-02-16
- Pages
- 1-6
- Cited by
- 0
- References
- 1
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.
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