Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Learn to Refuse: Making Large Language Models More Controllable and Reliable through Knowledge Scope Limitation and Refusal Mechanism
As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2311.01041.
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 2026-08-15T06:32:42.880941+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T21:54:44.257959Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-19T16:52:39.827183Z
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 f4fac9a4-b12e-499a-ba49-1ecf11fb6a70 · inbound
Challenges in Guardrailing Large Language Models for Science cites this paper.
Challenges in Guardrailing Large Language Models for Science Learn to Refuse: Making Large Language Models More Controllable and Reliable through Knowledge Scope Limitation and Refusal Mechanism
Reference 71
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T21:54:44.257959Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 39c90310-def1-49ec-8075-9fecb2372120 · inbound
SafeCoT: Improving VLM Safety with Minimal Reasoning cites this paper.
SafeCoT: Improving VLM Safety with Minimal Reasoning Learn to Refuse: Making Large Language Models More Controllable and Reliable through Knowledge Scope Limitation and Refusal Mechanism
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:18:58.879055Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation aaaf5946-7395-4d3f-af81-dedfba352372 · inbound
Beyond Individual Intelligence: Surveying Collaboration, Failure Attribution, and Self-Evolution in LLM-based Multi-Agent Systems cites this paper.
Beyond Individual Intelligence: Surveying Collaboration, Failure Attribution, and Self-Evolution in LLM-based Multi-Agent Systems Learn to Refuse: Making Large Language Models More Controllable and Reliable through Knowledge Scope Limitation and Refusal Mechanism
Reference 114
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T03:08:58.025481Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation ea599735-d201-4d11-ba37-84a2eded11d3 · inbound
Beyond Individual Intelligence: Surveying Collaboration, Failure Attribution, and Self-Evolution in LLM-based Multi-Agent Systems cites this paper.
Beyond Individual Intelligence: Surveying Collaboration, Failure Attribution, and Self-Evolution in LLM-based Multi-Agent Systems Learn to Refuse: Making Large Language Models More Controllable and Reliable through Knowledge Scope Limitation and Refusal Mechanism
Reference 115
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T16:52:39.829088Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.