Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Comparative Global AI Regulation: Policy Perspectives from the EU, China, and the US
As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2410.21279.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T22:19:08.369429Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-19T00:36:56.264391Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 28ba1b53-fdcb-47bd-8913-0a8bcd0b23b8 · inbound
Promising Topics for U.S.-China Dialogues on AI Risks and Governance cites this paper.
Promising Topics for U.S.-China Dialogues on AI Risks and Governance Comparative Global AI Regulation: Policy Perspectives from the EU, China, and the US
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T22:19:08.369429Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 62875fb5-fa7b-4af5-a2b2-b5756dd88738 · inbound
Decoding the Multimodal Maze: A Systematic Review on the Adoption of Explainability in Multimodal Attention-based Models cites this paper.
Decoding the Multimodal Maze: A Systematic Review on the Adoption of Explainability in Multimodal Attention-based Models Comparative Global AI Regulation: Policy Perspectives from the EU, China, and the US
Reference 6
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T00:36:56.266995Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation ae6f847c-813d-40e1-bf07-093d984f40ea · inbound
Decoding the Multimodal Maze: A Systematic Review on the Adoption of Explainability in Multimodal Attention-based Models cites this paper.
Decoding the Multimodal Maze: A Systematic Review on the Adoption of Explainability in Multimodal Attention-based Models Comparative Global AI Regulation: Policy Perspectives from the EU, China, and the US
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T00:02:58.538806Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 64ee4399-5b9f-4b52-bd8e-73b47226cc20 · inbound
Framing Instability in LLM Ethical Stance: Auditing Negation Sensitivity in Moral Dilemmas cites this paper.
Framing Instability in LLM Ethical Stance: Auditing Negation Sensitivity in Moral Dilemmas Comparative Global AI Regulation: Policy Perspectives from the EU, China, and the US
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T07:03:12.097146Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8e6d9326-270d-443c-9e5a-16f384d10b59 · inbound
Who Governs the Machine? A Machine Identity Governance Taxonomy (MIGT) for AI Systems Operating Across Enterprise and Geopolitical Boundaries cites this paper.
Who Governs the Machine? A Machine Identity Governance Taxonomy (MIGT) for AI Systems Operating Across Enterprise and Geopolitical Boundaries Comparative Global AI Regulation: Policy Perspectives from the EU, China, and the US
Reference 7
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T23:35:52.569191Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.