Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Finding the Law: Enhancing Statutory Article Retrieval via Graph Neural Networks
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2301.12847.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-07-14T07:01:16.620100Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-29T13:23:28.227901Z
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 b1d75b84-40bc-4e2c-bd32-118c89dd7b7a · inbound
An Ontology-Driven Graph RAG for Legal Norms: A Structural, Temporal, and Deterministic Approach cites this paper.
An Ontology-Driven Graph RAG for Legal Norms: A Structural, Temporal, and Deterministic Approach Finding the Law: Enhancing Statutory Article Retrieval via Graph Neural Networks
Reference 7
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T17:55:01.775050Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation b5ff3cc0-7f5f-4a06-9337-3706c34a124e · 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 Finding the Law: Enhancing Statutory Article Retrieval via Graph Neural Networks
Reference 6
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-06-29T13:23:28.229713Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation af27ef24-df06-4a4d-8931-a67a7f648417 · inbound
Generative Chinese Statute Retrieval cites this paper.
Generative Chinese Statute Retrieval Finding the Law: Enhancing Statutory Article Retrieval via Graph Neural Networks
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-07-14T07:01:16.620100Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.