Claim · 2025-06-17 · publication · Stated in source · Supported

The California Report on Frontier AI Policy cites The Alignment Problem from a Deep Learning Perspective.

One recorded claim. The claim panel gives its qualification, the source passages with their place in each source, and how it was checked.

What it connects

The California Report on Frontier AI Policy → cites → The Alignment Problem from a Deep Learning Perspective

Where it appears

Frontier AI frameworks and law, 2023–2026 →

Claim and evidence

The California Report on Frontier AI Policycites ↓The Alignment Problem from a Deep Learning Perspective

Machine-checked, not reviewed by an editorStated in sourceSupported

Supporting evidence: primary · 1 source

Date: 2025-06-17 · publication Records dated 2025 →

Scope and limitsAn explicit reference only; neither agreement nor influence. The citing text does not identify which version of the work was read.

The evidence 01

primary sourceSupports the claim

The California Report on Frontier AI Policy (June 17, 2025)

Joint California Policy Working Group on AI Frontier Models (hosted at gov.ca.gov) · 2025-06-17

Cite the original source

Cite the original document, not Selekoa. Check these details against it.

Paraphrase

The text names the work by its title.

Location in source PDF p. 49, reference or mention by title

Machine-checked · 2026-10-31

Source details and check notes

Authors: Joint California Policy Working Group on AI Frontier Models
Version: Retrieved on 2026-10-27 (SHA-256 4f7bcf74c9b48f513670a9d695f1466c982388941e2186c603063bd92a9349ad). Final report PDF as hosted at gov.ca.gov, title page dated June 17, 2025.
Canonical address: Open the canonical source ↗
Accessed: 2026-10-27
Language: English (en)
Attribution: Joint California Policy Working Group on AI Frontier Models, “The California Report on Frontier AI Policy (June 17, 2025)”, 2025-06-17.
Reuse: No open redistribution licence asserted. Bibliographic metadata, editorial paraphrases and short attributed quotations (at most 50 words each). Recheck terms before wider redistribution.
Check notes: Candidate pack passage, key papers (research/key-papers). The citation was matched (title) in the text retrieved for the candidate pack on 2026-10-28 and re-found by its mechanical check. The paraphrase is Selekoa’s. A cross-family machine check (2026-10-30, item B094) found the citation in the citing text. No human editorial review.

Status and meaning

Editorial status. Not reviewed by an editor. An exploratory record that no editor has accepted. This status does not say whether a person has read any linked passage. Each evidence record above shows how it was checked.

Relation. An explicit reference to a work. Citation alone is neither agreement nor causal influence.

Date. Date of the citing source as recorded in the dataset; unknown where the dataset has none.

Record ID kp-cites-ca-frontier-ai-policy-report-2025-alignment-problem-from-deep-learning-2022