Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Adversarial Preference Optimization: Enhancing Your Alignment via RM-LLM Game
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2311.08045.
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 2026-08-06T13:49:09.346979Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-30T12:44:40.093887Z
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 46f8de97-fbd4-40f0-81b4-0ae2ff21e7fd · inbound
SGPO: Self-Generated Preference Optimization based on Self-Improver cites this paper.
SGPO: Self-Generated Preference Optimization based on Self-Improver Adversarial Preference Optimization: Enhancing Your Alignment via RM-LLM Game
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T13:49:09.346979Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 41920adb-1683-4200-8229-c1a719ed27e6 · inbound
Beyond Surface-Level Detection: Towards Cognitive-Driven Defense Against Jailbreak Attacks via Meta-Operations Reasoning cites this paper.
Beyond Surface-Level Detection: Towards Cognitive-Driven Defense Against Jailbreak Attacks via Meta-Operations Reasoning Adversarial Preference Optimization: Enhancing Your Alignment via RM-LLM Game
Reference 123
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T04:47:25.431886Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0fb641fc-6212-4377-afbc-4020fb38313a · inbound
BV-Blend: Uncertainty-Weighted Historical Baselines for Stable Critic-Free RL with Verifiable Rewards cites this paper.
BV-Blend: Uncertainty-Weighted Historical Baselines for Stable Critic-Free RL with Verifiable Rewards Adversarial Preference Optimization: Enhancing Your Alignment via RM-LLM Game
Reference 42
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T12:44:40.095303Z
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.