Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2311.05915.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T14:13:52.256199Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-10T07:37:04.295513Z
0 of 0 outbound references displayed
External citation measurements
No source-named external measurement is stored.
No outbound reference observations are available for this paper version.
Observation e31f9482-b5a0-44ba-ab4e-7991955b234c · inbound
Beyond Safe Answers: A Benchmark for Evaluating True Risk Awareness in Large Reasoning Models Fake Alignment: Are LLMs Really Aligned Well?
Reference 29
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 623bc94d-6277-4646-93e3-e520db0653df · inbound
Bridging Distribution Shift and AI Safety: Conceptual and Methodological Synergies Fake Alignment: Are LLMs Really Aligned Well?
Reference 192
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a8efab55-a054-434d-8ef5-7b8c02e87b1a · inbound
Why do AI agents communicate in human language? Fake Alignment: Are LLMs Really Aligned Well?
Reference 22
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8ec9bd09-a478-4f06-8507-756bbe4b9125 · inbound
Alignment and Safety in Large Language Models: Safety Mechanisms, Training Paradigms, and Emerging Challenges Fake Alignment: Are LLMs Really Aligned Well?
Reference 53
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f3cd0a44-9e8a-4d43-a9a4-9279b82d2539 · inbound
When Choices Become Risks: Safety Failures of Large Language Models under Multiple-Choice Constraints Fake Alignment: Are LLMs Really Aligned Well?
Reference 2
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.