Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Unsupervised Expressive Rules Provide Explainability and Assist Human Experts Grasping New Domains
As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2010.09459.
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 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T17:04:06.688561Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-20T21:09:02.592805Z
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 5e9159ea-eac0-41be-a0d5-94cf43f0d105 · inbound
AMELIA: A Family of Multi-task End-to-end Language Models for Argumentation cites this paper.
AMELIA: A Family of Multi-task End-to-end Language Models for Argumentation Unsupervised Expressive Rules Provide Explainability and Assist Human Experts Grasping New Domains
Reference 65
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T17:04:06.688561Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3e10478f-0d2a-47bf-b9a6-0d25c0374aae · inbound
An LLM-Based System for Argument Mining cites this paper.
An LLM-Based System for Argument Mining Unsupervised Expressive Rules Provide Explainability and Assist Human Experts Grasping New Domains
Reference 11
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T19:12:51.219467Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 4b099b5a-f02c-4d84-a403-c041bdcdabc1 · inbound
An LLM-Based System for Argument Mining cites this paper.
An LLM-Based System for Argument Mining Unsupervised Expressive Rules Provide Explainability and Assist Human Experts Grasping New Domains
Reference 11
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T21:09:02.594599Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.