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Paper Citation Record · LEDGER

Are LLMs Good Zero-Shot Fallacy Classifiers?

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2410.15050.

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

pith.paper-citation-record.v1
2410.15050 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 2026-08-18T06:34:40.430872+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:18:20.543502Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T11:32:17.394428Z

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 fe6880b4-a974-49f3-94c2-6645e3f3be19 · inbound

Aspect-Based Summarization with Self-Aspect Retrieval Enhanced Generation cites this paper.

Aspect-Based Summarization with Self-Aspect Retrieval Enhanced Generation Are LLMs Good Zero-Shot Fallacy Classifiers?

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-16T12:18:20.543502Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:18:20.543502Z digest=sha256:2dbc57fe0d4188eb3455455fc7c9b27aa5075ee20c6710b1d17107a98fae79c2

Observation 6a17fbd4-fe60-41c9-b1c6-3bb5bbae6e62 · inbound

To trust or not to trust: Attention-based Trust Management for LLM Multi-Agent Systems cites this paper.

To trust or not to trust: Attention-based Trust Management for LLM Multi-Agent Systems Are LLMs Good Zero-Shot Fallacy Classifiers?

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-05-19T11:32:17.397155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-19T11:30:47.877793Z digest=sha256:c1708c62921914ad9322406042fef71650576d20b0fd9eae01097d60a17a1eb3