Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Can Large Language Models perform Relation-based Argument Mining?
As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2402.11243.
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 2026-08-20T06:33:59.587034+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T17:04:06.494474Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-02T13:06:58.950888Z
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 ff01f038-6f5f-4d8f-a795-d3b2e0fd3b2c · inbound
On the Suitability of pre-trained foundational LLMs for Analysis in German Legal Education cites this paper.
On the Suitability of pre-trained foundational LLMs for Analysis in German Legal Education Can Large Language Models perform Relation-based Argument Mining?
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T11:03:24.273411Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c401029d-f25a-40c5-a6bc-3ccfeffe60db · inbound
LLMs for Argument Mining: Detection, Extraction, and Relationship Classification of pre-defined Arguments in Online Comments cites this paper.
LLMs for Argument Mining: Detection, Extraction, and Relationship Classification of pre-defined Arguments in Online Comments Can Large Language Models perform Relation-based Argument Mining?
Reference 2024
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:59:29.104990Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ba4fd3d0-769f-4200-b2ae-8ca7ca62e228 · 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 Can Large Language Models perform Relation-based Argument Mining?
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T17:04:06.494474Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 35236ec7-7e6a-42ce-8ef0-b73d4c4e9fa4 · inbound
Towards Robust Argumentative Essay Understanding via TIDE: An Interactive Framework with Trial and Debate cites this paper.
Towards Robust Argumentative Essay Understanding via TIDE: An Interactive Framework with Trial and Debate Can Large Language Models perform Relation-based Argument Mining?
Reference 75
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T13:48:19.839130Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 0abb9675-0c9d-49ba-98de-911349f8a47e · inbound
CAF-Gen: A Multi-Agent System for Enriching Argumentation Structures cites this paper.
CAF-Gen: A Multi-Agent System for Enriching Argumentation Structures Can Large Language Models perform Relation-based Argument Mining?
Reference 9
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T13:06:58.952383Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.