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Paper Citation Record · LEDGER

Assessing Open-Source Large Language Models on Argumentation Mining Subtasks

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2411.05639.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2411.05639 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T17:04:06.637695Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-10T06:16:20.685796Z

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 52db8213-0190-444e-8d18-e1cc4145f771 · 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 Assessing Open-Source Large Language Models on Argumentation Mining Subtasks

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-15T17:04:06.637695Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:04:06.637695Z digest=sha256:9e3caa8ff9dbe5d94c4ef53540459cd517ecbe56347545b78f17edcdd54ce329

Observation 9e69f30b-99c9-4d6e-a094-5032a4cf7030 · inbound

ArgBench: Benchmarking LLMs on Computational Argumentation Tasks cites this paper.

ArgBench: Benchmarking LLMs on Computational Argumentation Tasks Assessing Open-Source Large Language Models on Argumentation Mining Subtasks

Reference 97

Resolution
verified exact
arxiv_id, observed 2026-05-10T06:16:20.687293Z

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.

source=arxiv_source observed=2026-05-10T06:15:49.743367Z digest=sha256:8adfaaded02ef3b816610197a521c50fb77e7e4ad0ae6f4ee63de545399dc6d9