Position: Explainability Research Must Prioritize Foundations over Ad-hoc Methods
arXiv 2607.14123•28c5d0db9a401d44fc38a9d9aaecbd1562ff748944bfde9a69dec1ac49ce41fc
C3RCARPRTGINELiDARRENEWRF-planningV2XXAIconformal-riskdynamics-learningexplainable-aigeospatial-aigraph-neural-networkshuman-in-the-loopmodel-exploitationprompt-reweightingquantum-mlrelay-selectionretrieval-contaminationsandbox-rl-agent-securitysatellite-ground-station-sitingvehicular-communicationsvision-language-modelswildfire-detectionzero-shot
Paper metadata
- arXiv ID
- 2607.14123
- Version
- Not specified by this published record
- Category
- Computer Science — Machine Learning (cs.LG)
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Evidence and limitations
- Source ID
- arxiv_cs_lg
- Record identifier
- 28c5d0db9a401d44fc38a9d9aaecbd1562ff748944bfde9a69dec1ac49ce41fc
- Enrichment time
- 2026-07-18T08:52:10Z
- AI-assisted enrichment
- Yes
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