Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Towards Data Governance of Frontier AI Models
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2412.03824.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T11:35:34.631404Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T17:01:08.975832Z
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 bd8856cc-cab8-422f-aefd-99cefa7f7ac7 · inbound
Artificial Jagged Intelligence as Uneven Optimization Energy Allocation Capability Concentration, Redistribution, and Optimization Governance cites this paper.
Artificial Jagged Intelligence as Uneven Optimization Energy Allocation Capability Concentration, Redistribution, and Optimization Governance Towards Data Governance of Frontier AI Models
Reference 17
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T17:01:08.978691Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 6702c2d7-0aa9-40bb-8834-3c30f451b05d · inbound
A Six-Dimensional Taxonomy of Post-Training Adaptation Techniques with Applications in AI Governance cites this paper.
A Six-Dimensional Taxonomy of Post-Training Adaptation Techniques with Applications in AI Governance Towards Data Governance of Frontier AI Models
Reference 82
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:35:34.631404Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.