Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Defending Large Language Models Against Attacks With Residual Stream Activation Analysis
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2406.03230.
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 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-08T10:13:51.673991Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-08T10:13:51.945230Z
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 9c0e3c76-2e48-4f09-8a88-634e2dbaacd8 · inbound
Detecting Safety Training Modification in Language Models via Activation Analysis cites this paper.
Detecting Safety Training Modification in Language Models via Activation Analysis Defending Large Language Models Against Attacks With Residual Stream Activation Analysis
Reference 11
- Resolution
- verified exact
- local_arxiv, observed 2026-08-08T10:13:51.949039Z
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.