Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Athena: Retrieval-augmented Legal Judgment Prediction with Large Language Models
As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2410.11195.
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 2026-08-17T06:30:58.91139+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T19:55:14.097181Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-29T13:23:28.225235Z
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 32bbf20c-4f30-44ec-b552-0afdc4a976b8 · inbound
Evaluating LLM-based Approaches to Legal Citation Prediction: Domain-specific Pre-training, Fine-tuning, or RAG? A Benchmark and an Australian Law Case Study cites this paper.
Evaluating LLM-based Approaches to Legal Citation Prediction: Domain-specific Pre-training, Fine-tuning, or RAG? A Benchmark and an Australian Law Case Study Athena: Retrieval-augmented Legal Judgment Prediction with Large Language Models
Reference 29
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T19:55:14.097181Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 475350d6-fd33-48cd-9fab-c1b6dd75a68a · inbound
Large Language Models Meet Legal Artificial Intelligence: A Survey cites this paper.
Large Language Models Meet Legal Artificial Intelligence: A Survey Athena: Retrieval-augmented Legal Judgment Prediction with Large Language Models
Reference 2021
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T18:26:14.216462Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dfab9c28-65fe-48ad-aafa-adb19d7e22e3 · inbound
LegalGraphRAG: Multi-Agent Graph Retrieval-Augmented Generation for Reliable Legal Reasoning cites this paper.
LegalGraphRAG: Multi-Agent Graph Retrieval-Augmented Generation for Reliable Legal Reasoning Athena: Retrieval-augmented Legal Judgment Prediction with Large Language Models
Reference 7
- Resolution
- verified exact
- arxiv_id, observed 2026-06-29T13:23:28.226830Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.