Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Advantage Alignment Algorithms
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2406.14662.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T11:54:14.804051Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
1
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 9c5ef183-6a4f-49cf-ad59-1ad7be9a58b2 · inbound
The Coming Crisis of Multi-Agent Misalignment: AI Alignment Must Be a Dynamic and Social Process cites this paper.
The Coming Crisis of Multi-Agent Misalignment: AI Alignment Must Be a Dynamic and Social Process Advantage Alignment Algorithms
Reference 710
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:54:14.804051Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7095c81e-8599-4766-baab-cdbb91c52c43 · inbound
Unlearning with Asymmetric Sources: Improved Unlearning-Utility Trade-off with Public Data cites this paper.
Unlearning with Asymmetric Sources: Improved Unlearning-Utility Trade-off with Public Data Advantage Alignment Algorithms
Reference 126
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T05:57:21.691482Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation f3fe761e-ac24-445d-beb0-1eebacff6511 · inbound
Learning to cooperate with emergent reputation via multi-agent reinforcement learning cites this paper.
Learning to cooperate with emergent reputation via multi-agent reinforcement learning Advantage Alignment Algorithms
Reference 66
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-02T11:16:53.412756Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.