Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Refining Input Guardrails: Enhancing LLM-as-a-Judge Efficiency Through Chain-of-Thought Fine-Tuning and Alignment
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2501.13080.
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 2026-08-07T12:46:00.686918Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-21T20:44:21.927874Z
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 1ffaad9f-2173-4378-9925-b5e20436eca6 · inbound
Position Paper: Metadata Enrichment Model: Integrating Neural Networks and Semantic Knowledge Graphs for Cultural Heritage Applications cites this paper.
Position Paper: Metadata Enrichment Model: Integrating Neural Networks and Semantic Knowledge Graphs for Cultural Heritage Applications Refining Input Guardrails: Enhancing LLM-as-a-Judge Efficiency Through Chain-of-Thought Fine-Tuning and Alignment
Reference 44
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:46:00.686918Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 08cddfeb-c7d8-4643-b109-c0b071d77632 · inbound
Interpretation Meets Safety: A Survey on Interpretation Methods and Tools for Improving LLM Safety cites this paper.
Interpretation Meets Safety: A Survey on Interpretation Methods and Tools for Improving LLM Safety Refining Input Guardrails: Enhancing LLM-as-a-Judge Efficiency Through Chain-of-Thought Fine-Tuning and Alignment
Reference 35
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:24:26.440712Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 697e8218-4d78-422f-9940-063110834aaa · inbound
SMARTER: A Data-efficient Framework to Improve Toxicity Detection with Explanation via Self-augmenting Large Language Models cites this paper.
SMARTER: A Data-efficient Framework to Improve Toxicity Detection with Explanation via Self-augmenting Large Language Models Refining Input Guardrails: Enhancing LLM-as-a-Judge Efficiency Through Chain-of-Thought Fine-Tuning and Alignment
Reference 9
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-18T15:52:42.297827Z
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.
Observation ee7ca27d-2cd5-4da4-a1ef-234149c73a75 · inbound
From Refusal to Recovery: A Control-Theoretic Approach to Generative AI Guardrails cites this paper.
From Refusal to Recovery: A Control-Theoretic Approach to Generative AI Guardrails Refining Input Guardrails: Enhancing LLM-as-a-Judge Efficiency Through Chain-of-Thought Fine-Tuning and Alignment
Reference 24
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T20:44:21.930174Z
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.