Paper Citation Record · LEDGER

LLMs for Argument Mining: Detection, Extraction, and Relationship Classification of pre-defined Arguments in Online Comments

As of 8 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 1 inbound Pith citation observation for arXiv:2505.22956.

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

pith.paper-citation-record.v1
2505.22956 v1

Coverage vector

measured 13 of 13 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:59:30.805166Z

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-28T01:37:06.028099Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T13:06:58.964865Z

Reference resolution

13 of 13 outbound references displayed

verified exact0
verified fuzzy4
unresolved9
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation affa0aae-2239-4210-bcc7-2fe4956b41ed · outbound

This paper cites an unresolved cited work.

LLMs for Argument Mining: Detection, Extraction, and Relationship Classification of pre-defined Arguments in Online Comments Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:59:33.610863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 085e1b66-61a9-415d-8387-e3c9cd7f55af · outbound

This paper cites id": "id.

LLMs for Argument Mining: Detection, Extraction, and Relationship Classification of pre-defined Arguments in Online Comments id": "id

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:59:33.333346Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6a0cc96a-f237-4263-b013-bb1701c51b22 · outbound

This paper cites an unresolved cited work.

LLMs for Argument Mining: Detection, Extraction, and Relationship Classification of pre-defined Arguments in Online Comments Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:59:32.507472Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ba4ce1b6-5366-476e-ad10-78d3e2072009 · outbound

This paper cites id": "{id}.

LLMs for Argument Mining: Detection, Extraction, and Relationship Classification of pre-defined Arguments in Online Comments id": "{id}

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:59:32.189918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4c238025-3bc2-4aca-aeea-49bd75825134 · outbound

This paper cites an unresolved cited work.

LLMs for Argument Mining: Detection, Extraction, and Relationship Classification of pre-defined Arguments in Online Comments Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:59:33.021675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ba8f26df-33c8-42e4-849b-d996c3778f44 · outbound

This paper cites an unresolved cited work.

LLMs for Argument Mining: Detection, Extraction, and Relationship Classification of pre-defined Arguments in Online Comments Unresolved cited work

Reference 6

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:59:32.766013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5b69016d-eac8-4efe-950b-a9c9bf619606 · outbound

This paper cites id": "{id}.

LLMs for Argument Mining: Detection, Extraction, and Relationship Classification of pre-defined Arguments in Online Comments id": "{id}

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:59:31.300499Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 621f3b72-89f3-4e0e-84c8-5b8213950e0e · outbound

This paper cites an unresolved cited work.

LLMs for Argument Mining: Detection, Extraction, and Relationship Classification of pre-defined Arguments in Online Comments Unresolved cited work

Reference 13

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:59:31.943500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 273e4ec7-d875-4724-9584-635dc41fce38 · outbound

This paper cites an unresolved cited work.

LLMs for Argument Mining: Detection, Extraction, and Relationship Classification of pre-defined Arguments in Online Comments Unresolved cited work

Reference 14

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:59:31.644729Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c2564b54-8de3-463d-9db4-a246324cd99d · outbound

This paper cites an unresolved cited work.

LLMs for Argument Mining: Detection, Extraction, and Relationship Classification of pre-defined Arguments in Online Comments Unresolved cited work

Reference 15

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:59:31.484655Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d5614b51-74bf-4854-9bfb-1dbd9dbfd3d0 · outbound

This paper cites id": "{id}.

LLMs for Argument Mining: Detection, Extraction, and Relationship Classification of pre-defined Arguments in Online Comments id": "{id}

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:59:31.058912Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f50b0365-b40f-4be2-b2bf-aaf5d6262f3f · outbound

This paper cites LVLM-eHub: A Comprehensive Evaluation Benchmark for Large Vision-Language Models.

LLMs for Argument Mining: Detection, Extraction, and Relationship Classification of pre-defined Arguments in Online Comments LVLM-eHub: A Comprehensive Evaluation Benchmark for Large Vision-Language Models

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-07T12:59:29.181467Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c401029d-f25a-40c5-a6bc-3ccfeffe60db · outbound

This paper cites Can Large Language Models perform Relation-based Argument Mining?.

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.

Pith citing papers

Observation 79bea1f0-8d78-4b65-b954-2d780cb61a1e · inbound

CAF-Gen: A Multi-Agent System for Enriching Argumentation Structures cites this paper.

CAF-Gen: A Multi-Agent System for Enriching Argumentation Structures LLMs for Argument Mining: Detection, Extraction, and Relationship Classification of pre-defined Arguments in Online Comments

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-07-02T13:06:58.966335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.