Paper Citation Record · LEDGER

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

As of 7 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 1 inbound Pith citation observation for arXiv:2506.08430.

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

pith.paper-citation-record.v1
2506.08430 v2

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:18:03.510484Z

measured 34 of 34 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 2026-05-16T18:54:28.446715Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

33 of 33 outbound references displayed

verified exact1
verified fuzzy11
unresolved16
parse uncertain0
malformed identifier0
metadata mismatch5

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation 7f929444-5bd7-4a88-a9d4-c835204f7451 · outbound

This paper cites NTUA-SLP at SemEval-2018 Task 3: Tracking Ironic Tweets using Ensembles of Word and Character Level Attentive RNNs.

CAF-I: A Collaborative Multi-Agent Framework for Enhanced Irony Detection with Large Language Models NTUA-SLP at SemEval-2018 Task 3: Tracking Ironic Tweets using Ensembles of Word and Character Level Attentive RNNs

Reference 1

Resolution: metadata mismatch; local_arxiv, observed 2026-08-07T05:18:03.766173Z

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 fcaff719-4e60-4128-ac60-c28695cb26bf · outbound

This paper cites In: Proceed- ings of the AAAI Conference on Artificial Intelligence.

CAF-I: A Collaborative Multi-Agent Framework for Enhanced Irony Detection with Large Language Models In: Proceed- ings of the AAAI Conference on Artificial Intelligence

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:18:03.960530Z

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 b573566d-7e6f-4026-814a-42564c12763d · outbound

This paper cites University of Chicago Press (1974).

CAF-I: A Collaborative Multi-Agent Framework for Enhanced Irony Detection with Large Language Models University of Chicago Press (1974)

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:18:03.948073Z

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 3cae0989-d82c-4e45-a16e-6a50f45ed679 · outbound

This paper cites Towards Multimodal Sarcasm Detection (An _Obviously_ Perfect Paper).

CAF-I: A Collaborative Multi-Agent Framework for Enhanced Irony Detection with Large Language Models Towards Multimodal Sarcasm Detection (An _Obviously_ Perfect Paper)

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T05:18:03.389682Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 41d10dec-e5f1-48b7-8d42-a2618f9f720e · outbound

This paper cites In: Proceedings of the fourteenth conference on computational natural language learning.

CAF-I: A Collaborative Multi-Agent Framework for Enhanced Irony Detection with Large Language Models In: Proceedings of the fourteenth conference on computational natural language learning

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:18:03.935742Z

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 879761c0-ddd2-48e8-8b8f-06010efaaa64 · outbound

This paper cites In: Proceedings of the 2019 conference of the North American chapter of the association for computational linguistics: human language technologies, volume 1 (long and short papers).

CAF-I: A Collaborative Multi-Agent Framework for Enhanced Irony Detection with Large Language Models In: Proceedings of the 2019 conference of the North American chapter of the association for computational linguistics: human language technologies, volume 1 (long and short papers)

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T05:18:03.399046Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a220e61d-2ab0-4b91-b047-a76b89ce1610 · outbound

This paper cites In: Forty-first International Conference on Machine Learning (2023).

CAF-I: A Collaborative Multi-Agent Framework for Enhanced Irony Detection with Large Language Models In: Forty-first International Conference on Machine Learning (2023)

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T05:18:03.403539Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3b56da8d-7e81-40d7-b454-393899c5a5ad · outbound

This paper cites In: Proceedings of the 7th workshop on computational approaches to subjectivity, sentiment and social media analysis.

CAF-I: A Collaborative Multi-Agent Framework for Enhanced Irony Detection with Large Language Models In: Proceedings of the 7th workshop on computational approaches to subjectivity, sentiment and social media analysis

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:18:03.907448Z

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 3686f394-db21-4db8-a55d-9bc727da9b15 · outbound

This paper cites Computational Sarcasm Analysis on Social Media: A Systematic Review.

CAF-I: A Collaborative Multi-Agent Framework for Enhanced Irony Detection with Large Language Models Computational Sarcasm Analysis on Social Media: A Systematic Review

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T05:18:03.411598Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 702ff73d-5135-47f5-b893-8617443ff138 · outbound

This paper cites Advances in Neural Information Processing Systems36, 51991–52008 (2023).

CAF-I: A Collaborative Multi-Agent Framework for Enhanced Irony Detection with Large Language Models Advances in Neural Information Processing Systems36, 51991–52008 (2023)

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T05:18:03.415756Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 335eb2f6-62c8-4fe3-9e42-ad9ef7486202 · outbound

This paper cites In: Proceedings of the 60th Annual Meeting ofthe Associationfor Computational Linguistics (Volume 1: Long Papers).

CAF-I: A Collaborative Multi-Agent Framework for Enhanced Irony Detection with Large Language Models In: Proceedings of the 60th Annual Meeting ofthe Associationfor Computational Linguistics (Volume 1: Long Papers)

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:18:03.886613Z

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 d12a2bb8-a347-4127-97f5-0bf5f2655ef1 · outbound

This paper cites AgentBench: Evaluating LLMs as Agents.

CAF-I: A Collaborative Multi-Agent Framework for Enhanced Irony Detection with Large Language Models AgentBench: Evaluating LLMs as Agents

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T05:18:03.423530Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 73f942db-b6a6-4515-8b2e-490e32912a36 · outbound

This paper cites RoBERTa: A Robustly Optimized BERT Pretraining Approach.

CAF-I: A Collaborative Multi-Agent Framework for Enhanced Irony Detection with Large Language Models RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T05:18:03.427785Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 56a56357-ddcf-4fcf-b9fb-45da5972c70b · outbound

This paper cites A Dual-Channel Framework for Sarcasm Recognition by Detecting Sentiment Conflict.

CAF-I: A Collaborative Multi-Agent Framework for Enhanced Irony Detection with Large Language Models A Dual-Channel Framework for Sarcasm Recognition by Detecting Sentiment Conflict

Reference 14

Resolution: metadata mismatch; local_arxiv, observed 2026-08-07T05:18:03.698730Z

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 0e4c4db6-a905-4998-9dfb-4789b961179c · outbound

This paper cites apparently bootstrapping improves the perfor- mance of sarcasm and nastiness classifiers for online dialogue.

CAF-I: A Collaborative Multi-Agent Framework for Enhanced Irony Detection with Large Language Models apparently bootstrapping improves the perfor- mance of sarcasm and nastiness classifiers for online dialogue

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:18:03.873012Z

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 c61563fd-262c-4dc6-b807-4bca8fb4a667 · outbound

This paper cites Efficient Estimation of Word Representations in Vector Space.

CAF-I: A Collaborative Multi-Agent Framework for Enhanced Irony Detection with Large Language Models Efficient Estimation of Word Representations in Vector Space

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T05:18:03.439261Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ffc1f34a-d699-4c75-bd24-fa11e4edb4d8 · outbound

This paper cites Creating and Characterizing a Diverse Corpus of Sarcasm in Dialogue.

CAF-I: A Collaborative Multi-Agent Framework for Enhanced Irony Detection with Large Language Models Creating and Characterizing a Diverse Corpus of Sarcasm in Dialogue

Reference 17

Resolution: metadata mismatch; local_arxiv, observed 2026-08-07T05:18:03.666933Z

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 9ea6945f-a735-4645-b930-14cd345326b3 · outbound

This paper cites In: ECAI 2020, pp.

CAF-I: A Collaborative Multi-Agent Framework for Enhanced Irony Detection with Large Language Models In: ECAI 2020, pp

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:18:03.860176Z

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 4b503a85-db77-4de9-9755-902844523b81 · outbound

This paper cites In: Proceedings of the 2014 conference on empirical methods in natural language processing (EMNLP).

CAF-I: A Collaborative Multi-Agent Framework for Enhanced Irony Detection with Large Language Models In: Proceedings of the 2014 conference on empirical methods in natural language processing (EMNLP)

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T05:18:03.451391Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c48264db-3bf5-4264-bb4e-fea28beec382 · outbound

This paper cites A Deeper Look into Sarcastic Tweets Using Deep Convolutional Neural Networks.

CAF-I: A Collaborative Multi-Agent Framework for Enhanced Irony Detection with Large Language Models A Deeper Look into Sarcastic Tweets Using Deep Convolutional Neural Networks

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T05:18:03.455149Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 552be9ff-d44e-4358-b905-e87d1d3b686d · outbound

This paper cites Detecting Emotional Incongruity of Sarcasm by Commonsense Reasoning.

CAF-I: A Collaborative Multi-Agent Framework for Enhanced Irony Detection with Large Language Models Detecting Emotional Incongruity of Sarcasm by Commonsense Reasoning

Reference 21

Resolution: metadata mismatch; local_arxiv, observed 2026-08-07T05:18:03.636713Z

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 b1ed8406-68c0-4fd0-b877-0a6eece9c57f · outbound

This paper cites Language resources and evaluation47, 239–268 (2013).

CAF-I: A Collaborative Multi-Agent Framework for Enhanced Irony Detection with Large Language Models Language resources and evaluation47, 239–268 (2013)

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:18:03.839264Z

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 a7066372-e7b0-4a76-b3c7-da8af067a074 · outbound

This paper cites Reasoning with Sarcasm by Reading In-between.

CAF-I: A Collaborative Multi-Agent Framework for Enhanced Irony Detection with Large Language Models Reasoning with Sarcasm by Reading In-between

Reference 23

Resolution: metadata mismatch; local_arxiv, observed 2026-08-07T05:18:03.619124Z

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 3c31774c-24b4-404b-827d-dc22ddc13cf7 · outbound

This paper cites In: Proceedings of the 12th international workshop on semantic evaluation.

CAF-I: A Collaborative Multi-Agent Framework for Enhanced Irony Detection with Large Language Models In: Proceedings of the 12th international workshop on semantic evaluation

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:18:03.826395Z

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 d50bfab1-4bed-4e38-af15-871f88e06201 · outbound

This paper cites an unresolved cited work.

CAF-I: A Collaborative Multi-Agent Framework for Enhanced Irony Detection with Large Language Models Unresolved cited work

Reference 25

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:18:03.813463Z

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 1b880877-3c72-4d2e-9ba0-7636a79fc113 · outbound

This paper cites Advances in neural information processing systems35, 24824–24837 (2022).

CAF-I: A Collaborative Multi-Agent Framework for Enhanced Irony Detection with Large Language Models Advances in neural information processing systems35, 24824–24837 (2022)

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T05:18:03.479442Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ad3fac47-ffd3-4a7f-b87e-9ef4a07848ef · outbound

This paper cites AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation.

CAF-I: A Collaborative Multi-Agent Framework for Enhanced Irony Detection with Large Language Models AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T05:18:03.483945Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0983a35c-5f93-4dc7-be7c-7d9cd73b75da · outbound

This paper cites MathChat: Converse to Tackle Challenging Math Problems with LLM Agents.

CAF-I: A Collaborative Multi-Agent Framework for Enhanced Irony Detection with Large Language Models MathChat: Converse to Tackle Challenging Math Problems with LLM Agents

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T05:18:03.488657Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d5bd1ef5-a6bb-423b-91a4-beee9c49ec89 · outbound

This paper cites In: Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024).

CAF-I: A Collaborative Multi-Agent Framework for Enhanced Irony Detection with Large Language Models In: Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:18:03.792496Z

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 06dc0a28-e922-4291-889c-75268b2ca358 · outbound

This paper cites Is Sarcasm Detection A Step-by-Step Reasoning Process in Large Language Models?.

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 2026-08-07T06:34:17.273281+00:00.

Observation 57ed3d39-99d0-46b3-b13a-63cba9b4c87e · outbound

This paper cites In: Proceedings of COLING 2016, the 26th International Conference on Compu- tational Linguistics: technical papers.

CAF-I: A Collaborative Multi-Agent Framework for Enhanced Irony Detection with Large Language Models In: Proceedings of COLING 2016, the 26th International Conference on Compu- tational Linguistics: technical papers

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:18:03.779102Z

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 1464983c-5410-41af-baac-a34970b5ff2c · outbound

This paper cites SarcasmBench: Towards Evaluating Large Language Models on Sarcasm Understanding.

CAF-I: A Collaborative Multi-Agent Framework for Enhanced Irony Detection with Large Language Models SarcasmBench: Towards Evaluating Large Language Models on Sarcasm Understanding

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-07T05:18:03.506201Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a1bd6d0d-dd2d-4087-b94a-3ce39836d626 · outbound

This paper cites Automatic Chain of Thought Prompting in Large Language Models.

CAF-I: A Collaborative Multi-Agent Framework for Enhanced Irony Detection with Large Language Models Automatic Chain of Thought Prompting in Large Language Models

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T05:18:03.510484Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation bb9feb9c-433d-4c9b-b7ac-90b604f71bf8 · inbound

World model inspired sarcasm reasoning with large language model agents cites this paper.

World model inspired sarcasm reasoning with large language model agents CAF-I: A Collaborative Multi-Agent Framework for Enhanced Irony Detection with Large Language Models

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-16T18:58:18.528373Z

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.