Paper Citation Record · LEDGER

Is Sarcasm Detection A Step-by-Step Reasoning Process in Large Language Models?

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2407.12725.

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

pith.paper-citation-record.v1
2407.12725 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T22:51:15.635726Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T05:18:03.569413Z

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 1048461b-262f-4a8e-96a7-a6411c027531 · inbound

Pragmatic Metacognitive Prompting Improves LLM Performance on Sarcasm Detection cites this paper.

Pragmatic Metacognitive Prompting Improves LLM Performance on Sarcasm Detection Is Sarcasm Detection A Step-by-Step Reasoning Process in Large Language Models?

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-11T22:51:15.635726Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 523438f9-83d5-4509-a324-313a5d904637 · inbound

LLMQuoter: Enhancing RAG Capabilities Through Efficient Quote Extraction From Large Contexts cites this paper.

LLMQuoter: Enhancing RAG Capabilities Through Efficient Quote Extraction From Large Contexts Is Sarcasm Detection A Step-by-Step Reasoning Process in Large Language Models?

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-10T21:16:23.972754Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 37c941b4-676a-4acd-92bc-18a43d6fb3df · inbound

Sarc7: Evaluating Sarcasm Detection and Generation with Seven Types and Emotion-Informed Techniques cites this paper.

Sarc7: Evaluating Sarcasm Detection and Generation with Seven Types and Emotion-Informed Techniques Is Sarcasm Detection A Step-by-Step Reasoning Process in Large Language Models?

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T12:06:09.291420Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 06dc0a28-e922-4291-889c-75268b2ca358 · inbound

CAF-I: A Collaborative Multi-Agent Framework for Enhanced Irony Detection with Large Language Models cites this paper.

CAF-I: A Collaborative Multi-Agent Framework for Enhanced Irony Detection with Large Language Models Is Sarcasm Detection A Step-by-Step Reasoning Process in Large Language Models?

Reference 30

Resolution: verified exact; local_arxiv, observed 2026-08-07T05:18:03.575712Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.