Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Scaling Laws for Adversarial Attacks on Language Model Activations
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2312.02780.
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 2026-08-09T14:47:15.092289Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T08:21:00.123654Z
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 feea78e1-b98f-41dc-94a2-5ebc51bc4061 · inbound
Model Tampering Attacks Enable More Rigorous Evaluations of LLM Capabilities cites this paper.
Model Tampering Attacks Enable More Rigorous Evaluations of LLM Capabilities Scaling Laws for Adversarial Attacks on Language Model Activations
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T14:47:15.092289Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3e31ae40-8794-4330-9ebb-36b06ab76392 · inbound
Probing the Robustness of Large Language Models Safety to Latent Perturbations cites this paper.
Probing the Robustness of Large Language Models Safety to Latent Perturbations Scaling Laws for Adversarial Attacks on Language Model Activations
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T23:49:14.075962Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c840a5c3-7e79-4afb-b4c9-e755f64be36d · inbound
Latent Instruction Representation Alignment: defending against jailbreaks, backdoors and undesired knowledge in LLMs cites this paper.
Latent Instruction Representation Alignment: defending against jailbreaks, backdoors and undesired knowledge in LLMs Scaling Laws for Adversarial Attacks on Language Model Activations
Reference 12
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T08:21:00.129343Z
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.