Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Enabling Discriminative Reasoning in LLMs for Legal Judgment Prediction
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2407.01964.
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 2026-08-06T18:37:07.227639Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-29T12:33:24.921159Z
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 e73b6d9a-8499-488d-8290-a815d76e4f00 · inbound
When Large Language Models Meet Law: Dual-Lens Taxonomy, Technical Advances, and Ethical Governance cites this paper.
When Large Language Models Meet Law: Dual-Lens Taxonomy, Technical Advances, and Ethical Governance Enabling Discriminative Reasoning in LLMs for Legal Judgment Prediction
Reference 46
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:37:07.227639Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fad21a11-d8be-45fc-9f97-c75973fd0848 · inbound
Structured Prompt Optimization Meets Reinforcement Learning for Global and Local Interpretability over Complex Text cites this paper.
Structured Prompt Optimization Meets Reinforcement Learning for Global and Local Interpretability over Complex Text Enabling Discriminative Reasoning in LLMs for Legal Judgment Prediction
Reference 1
- Resolution
- verified exact
- arxiv_id, observed 2026-06-29T12:33:24.922923Z
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.