Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Adversarial Representation Engineering: A General Model Editing Framework for Large Language Models
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2404.13752.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-08T21:55:56.756082Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-19T11:37:15.906396Z
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 eb278ed3-6a32-4747-8a01-6605bcb73ecf · inbound
Mechanistic Understandings of Representation Vulnerabilities and Engineering Robust Vision Transformers cites this paper.
Mechanistic Understandings of Representation Vulnerabilities and Engineering Robust Vision Transformers Adversarial Representation Engineering: A General Model Editing Framework for Large Language Models
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T21:55:56.756082Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 431b9750-3578-4333-a88a-f05caaafb2cf · inbound
AgentSpec: Customizable Runtime Enforcement for Safe and Reliable LLM Agents cites this paper.
AgentSpec: Customizable Runtime Enforcement for Safe and Reliable LLM Agents Adversarial Representation Engineering: A General Model Editing Framework for Large Language Models
Reference 56
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T21:24:32.669796Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 11c726b0-6815-4cf2-8850-8ae95c79ce73 · inbound
Advancing LLM Safe Alignment with Safety Representation Ranking cites this paper.
Advancing LLM Safe Alignment with Safety Representation Ranking Adversarial Representation Engineering: A General Model Editing Framework for Large Language Models
Reference 44
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:15:18.355760Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 430456b0-9243-4bf2-8473-f02adcaebbf7 · inbound
ReGA: Model-Based Safeguard for LLMs via Representation-Guided Abstraction cites this paper.
ReGA: Model-Based Safeguard for LLMs via Representation-Guided Abstraction Adversarial Representation Engineering: A General Model Editing Framework for Large Language Models
Reference 36
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T11:37:15.908486Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 35372292-09de-4517-a573-9be3e3838505 · inbound
Shaking to Reveal: Perturbation-Based Detection of LLM Hallucinations cites this paper.
Shaking to Reveal: Perturbation-Based Detection of LLM Hallucinations Adversarial Representation Engineering: A General Model Editing Framework for Large Language Models
Reference 61
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:23:45.557329Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 74d1d9c6-f379-4a50-80b6-17412d918ba6 · inbound
RACC: Representation-Aware Coverage Criteria for LLM Safety Testing cites this paper.
RACC: Representation-Aware Coverage Criteria for LLM Safety Testing Adversarial Representation Engineering: A General Model Editing Framework for Large Language Models
Reference 64
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T08:17:36.681808Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.