Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
ROSE Doesn't Do That: Boosting the Safety of Instruction-Tuned Large Language Models with Reverse Prompt Contrastive Decoding
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2402.11889.
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 2026-08-09T16:18:40.699323Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T09:29:44.263692Z
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 123dee81-6968-497b-8966-f3b1c026d33a · inbound
On Almost Surely Safe Alignment of Large Language Models at Inference-Time cites this paper.
On Almost Surely Safe Alignment of Large Language Models at Inference-Time ROSE Doesn't Do That: Boosting the Safety of Instruction-Tuned Large Language Models with Reverse Prompt Contrastive Decoding
Reference 47
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T16:18:40.699323Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1253af54-4495-4576-919c-9a0b5f21ff5b · inbound
From System 1 to System 2: A Survey of Reasoning Large Language Models cites this paper.
From System 1 to System 2: A Survey of Reasoning Large Language Models ROSE Doesn't Do That: Boosting the Safety of Instruction-Tuned Large Language Models with Reverse Prompt Contrastive Decoding
Reference 214
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T01:36:24.324707Z
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 2ed13e14-0892-4b18-a2a6-46c16f8511df · inbound
Exploring and Mitigating Fawning Hallucinations in Large Language Models cites this paper.
Exploring and Mitigating Fawning Hallucinations in Large Language Models ROSE Doesn't Do That: Boosting the Safety of Instruction-Tuned Large Language Models with Reverse Prompt Contrastive Decoding
Reference 33
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T13:11:15.385658Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 03628607-c82e-43f1-b156-b6511d09dde8 · inbound
The Geometry of Refusal: Linear Instability in Safety-Aligned LLMs cites this paper.
The Geometry of Refusal: Linear Instability in Safety-Aligned LLMs ROSE Doesn't Do That: Boosting the Safety of Instruction-Tuned Large Language Models with Reverse Prompt Contrastive Decoding
Reference 36
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T09:29:44.265560Z
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 7d9809cf-d8ef-40c9-a3a9-8b10e5f846e8 · inbound
The Geometry of Refusal: Linear Instability in Safety-Aligned LLMs cites this paper.
The Geometry of Refusal: Linear Instability in Safety-Aligned LLMs ROSE Doesn't Do That: Boosting the Safety of Instruction-Tuned Large Language Models with Reverse Prompt Contrastive Decoding
Reference 36
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T08:55:35.054465Z
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.