Position: Explainability Research Must Prioritize Foundations over Ad-hoc Methods
arXiv 2607.14123•e97bcf60a01f3e2c29b500d8c097e145b4ee21908281dc9cba67e043512d14d3
C3RCARPRTbranching-policy-optimizationconformal-risk-controldomain-contaminationexplainable-aifoundationsgeospatial-aihybrid-quantumlidarlightgbmposition-paperprompt-reweightingquantum-mlrepresentative-clutter-heightretrievalrf-planningrl-agentssandbox-native-rlshapu-netvision-language-modelswildfire-detectionxaizero-shot
Paper metadata
- arXiv ID
- 2607.14123
- Version
- Not specified by this published record
- Category
- Computer Science — Machine Learning (cs.LG)
The PDF link points to arxiv.org. Baitaphish does not expose a private stored PDF.
Evidence and limitations
- Source ID
- arxiv_cs_lg
- Record identifier
- e97bcf60a01f3e2c29b500d8c097e145b4ee21908281dc9cba67e043512d14d3
- Enrichment time
- 2026-07-17T08:52:12Z
- AI-assisted enrichment
- Yes
This record may overlap with other records. Its enrichment can be incomplete or wrong, and machine assistance was used. Validate consequential decisions against the linked source and your own environment.