Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T18:19:59.524446Z
Paper Citation Record · LEDGER
A comprehensive study of LLM-based argument classification: from LLAMA through GPT-4o to Deepseek-R1
As of 9 August 2026, this Paper Citation Record lists 4 of 4 outbound references and 1 inbound Pith citation observation for arXiv:2507.08621.
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 2026-05-10T06:15:49.743367Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-10T06:16:20.683076Z
Reference resolution
4 of 4 outbound references displayed
- verified exact1
- verified fuzzy0
- unresolved2
- parse uncertain0
- malformed identifier1
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 4e29c79c-7544-4b70-adef-79a95bfcf34b · outbound
This paper cites an unresolved cited work.
A comprehensive study of LLM-based argument classification: from LLAMA through GPT-4o to Deepseek-R1 Unresolved cited work
Reference 1
- Resolution
- verified exact
- doi, observed 2026-08-06T18:19:59.557110Z
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 78c9c996-7a78-41f9-aa84-c5356a889835 · outbound
This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.
A comprehensive study of LLM-based argument classification: from LLAMA through GPT-4o to Deepseek-R1 DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
Reference 14
- Resolution
- malformed identifier
- no resolver link, observed 2026-08-06T18:19:59.520945Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 24e3f5a0-b293-443b-acfa-b7ac81996448 · outbound
This paper cites Rephrase and Respond: Let Large Language Models Ask Better Questions for Themselves.
A comprehensive study of LLM-based argument classification: from LLAMA through GPT-4o to Deepseek-R1 Rephrase and Respond: Let Large Language Models Ask Better Questions for Themselves
Reference 1589
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:19:59.516955Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 74923995-19ff-41e9-8223-04087be3cfcd · outbound
This paper cites LLaMA: Open and Efficient Foundation Language Models.
A comprehensive study of LLM-based argument classification: from LLAMA through GPT-4o to Deepseek-R1 LLaMA: Open and Efficient Foundation Language Models
Reference 3674
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:19:59.524446Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
Observation b5993a66-dc34-45cd-bb76-7e15f8219496 · inbound
ArgBench: Benchmarking LLMs on Computational Argumentation Tasks cites this paper.
ArgBench: Benchmarking LLMs on Computational Argumentation Tasks A comprehensive study of LLM-based argument classification: from LLAMA through GPT-4o to Deepseek-R1
Reference 96
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T06:16:20.684540Z
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.