Reference health

Question Answering Over Knowledge Graphs for Explainable Satellite Scheduling

https://doi.org/10.2139/ssrn.4833242
CiteStamped reference-health badge
18/18 checkable references clean · checked 2026-08-29

Every reference with a DOI in the deposited reference list resolved to a known work in Crossref or DataCite at the dated check, and none carried a retraction, withdrawal, or removal notice.

28 without a DOI — not checked. A reference deposited without a DOI is never matched by title or guessed at; it stays outside the checked set, and this line discloses that.

The 18 checked references that resolve
resolves10.4103/0377-2063.123761
Bandwidth sharing and scan scheduling in multimodal radar with communications and tracking
resolves10.1016/j.actaastro.2020.11.016
Task scheduling for optimal power management and quality-of-service assurance in CubeSats
resolves10.1007/s10765-022-03010-3
Advanced Passive Thermal Control Materials and Devices for Spacecraft: A Review
resolves10.1080/17517575.2019.1593508
Optimisation problems and resolution methods in satellite scheduling and space-craft operation: a survey
resolves10.1007/978-1-4020-6943-7_6
PROBA Spacecraft Family
resolves10.1016/j.arcontrol.2020.04.012
On applying AI-driven flight data analysis for operational spacecraft model-based diagnostics
resolves10.1155/2012/717658
Genetic Algorithms for Satellite Scheduling Problems
resolves10.1016/j.swevo.2023.101236
RL-GA: A Reinforcement Learning-based Genetic Algorithm for Electromagnetic Detection Satellite Scheduling Problem
resolves10.3390/app12115310
OD-XAI: Explainable AI-Based Semantic Object Detection for Autonomous Vehicles
resolves10.3390/info13100459
Knowledge Graphs and Explainable AI in Healthcare
resolves10.3390/info11050253
Knowledge Graphs for Online Marketing and Sales of Touristic Services
resolves10.1016/j.jnca.2021.103076
Domain-specific knowledge graphs: A survey
resolves10.2514/6.2021-1469
Decentralized Context-Based On-Board Planning for Earth Observation Missions
resolves10.3233/SW-190374
On the role of knowledge graphs in explainable AI
resolves10.1007/s10115-022-01783-5
Deep learning-based question answering: a survey
resolves10.1038/s41586-023-06291-2
Large language models encode clinical knowledge
resolves10.1007/s10916-023-02021-3
Evaluating the Performance of Different Large Language Models on Health Consultation and Patient Education in Urolithiasis
resolves10.1007/s00167-023-07529-2
Exploring the potential of ChatGPT as a supplementary tool for providing orthopaedic information
The 28 references without a DOI — listed, not checked
no DOI — not checkedref5
no DOI — not checkedref6
no DOI — not checkedA hybrid discrete particle swarm optimization for satellite scheduling problem
no DOI — not checkedApplication of explainable artificial intelligence for healthcare: A systematic review of the last decade
no DOI — not checkedApplications of explainable artificial intelligence in finance-a systematic review of finance, information systems, and computer science literature
no DOI — not checkedref15
no DOI — not checkedExplainable anomaly detection in spacecraft telemetry
no DOI — not checkedref17
no DOI — not checkedExplainable ai methods-a brief overview
no DOI — not checkedref19
no DOI — not checkedKnowledge graphs: Opportunities and challenges
no DOI — not checkedMachine learning and knowledge graph based design rule construction for additive manufacturing
no DOI — not checkedConstruction of dynamic knowledge graph for grid day-ahead scheduling optimization decision
no DOI — not checkedKnowledge-graph-based explainable ai: A systematic review
no DOI — not checkedRecent advances in natural language processing via large pre-trained language models: A survey
no DOI — not checkedref30
no DOI — not checkedLarge language models are zero-shot reasoners
no DOI — not checkedGenerative pre-trained transformers (gpt) and space health: A potential frontier in astronaut health during exploration missions
no DOI — not checkedA domain-specific next-generation large language model (llm) or chatgpt is required for biomedical engineering and research
no DOI — not checkedEvaluation of the performance of gpt-3.5 and gpt-4 on the polish medical final examination
no DOI — not checkedAssessing the accuracy and completeness of artificial intelligence language models in providing information on methotrexate use
no DOI — not checkedBertscore: Evaluating text generation with bert
no DOI — not checkedEvaluating the performance of generative pre-trained transformer-4 (gpt-4) in standardizing radiology reports
no DOI — not checkedQuestion answering over knowledge graphs for explainable satellite scheduling
no DOI — not checkedTowards explainability of on-board satellite scheduling for end user interactions
no DOI — not checkedKnowledge graph completion: A review
no DOI — not checkedref45
no DOI — not checkedref46
What this badge says. CiteStamped means the CHECKABLE references of this work were clean at the dated check: each resolved to a known work in a public registry, and none carried a retraction notice at that time. It says nothing about the quality, findings, or importance of the work itself, and nothing about references deposited without a DOI.

checked 2026-08-29 — re-checked daily as this page is visited; titles and statuses come from Crossref and DataCite and are not part of the signed record

Embed this badge

Both snippets point at the live badge image and link back to this page. The badge re-renders from the daily check, so an embed never goes stale by more than a day of visits.

<a href="https://citestamp.com/citestamped/10.2139/ssrn.4833242"><img src="https://citestamp.com/citestamped/10.2139/ssrn.4833242/badge.svg" alt="CiteStamped reference-health badge" width="460" height="64"></a>
[![CiteStamped reference-health badge](https://citestamp.com/citestamped/10.2139/ssrn.4833242/badge.svg)](https://citestamp.com/citestamped/10.2139/ssrn.4833242)