Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Assessing the Zero-Shot Capabilities of LLMs for Action Evaluation in RL
As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2409.12798.
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 2026-08-14T06:32:32.682623+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-10T22:25:54.659473Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T16:29:14.414191Z
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 f826c524-d33b-42b0-b6ae-e216afddb3ec · inbound
Auto-RT: Automatic Jailbreak Strategy Exploration for Red-Teaming Large Language Models cites this paper.
Auto-RT: Automatic Jailbreak Strategy Exploration for Red-Teaming Large Language Models Assessing the Zero-Shot Capabilities of LLMs for Action Evaluation in RL
Reference 34
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T22:25:54.659473Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 108e709f-c36d-4dc6-8aa4-ac613b02dba7 · inbound
HuggingGraph: Understanding the Supply Chain of LLM Ecosystem cites this paper.
HuggingGraph: Understanding the Supply Chain of LLM Ecosystem Assessing the Zero-Shot Capabilities of LLMs for Action Evaluation in RL
Reference 43
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T16:29:14.513313Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation e6f59643-925c-41ec-89e8-79b9aecd378a · inbound
Reward Modeling for Reinforcement Learning-Based LLM Reasoning: Design, Challenges, and Evaluation cites this paper.
Reward Modeling for Reinforcement Learning-Based LLM Reasoning: Design, Challenges, and Evaluation Assessing the Zero-Shot Capabilities of LLMs for Action Evaluation in RL
Reference 74
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T03:04:44.061240Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.