Paper Citation Record · LEDGER

Was that Sarcasm?: A Literature Survey on Sarcasm Detection

As of 14 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 0 inbound Pith citation observations for arXiv:2412.00425.

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

pith.paper-citation-record.v1
2412.00425 v1

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T05:26:23.500740Z

measured 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

26 of 26 outbound references displayed

verified exact2
verified fuzzy14
unresolved10
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 54853c90-ae57-45e3-9885-96af5e7c1bb9 · outbound

This paper cites an unresolved cited work.

Was that Sarcasm?: A Literature Survey on Sarcasm Detection Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-08-12T05:26:23.941388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 0100f93f-f177-4388-9585-37a388690ed4 · outbound

This paper cites an unresolved cited work.

Was that Sarcasm?: A Literature Survey on Sarcasm Detection Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-12T05:26:23.925914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 4c753cfb-6ff0-4ed5-8206-d65a207bdeaa · outbound

This paper cites an unresolved cited work.

Was that Sarcasm?: A Literature Survey on Sarcasm Detection Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-08-12T05:26:23.911306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation dee72214-c18a-4d76-8e10-591c5e4390a2 · outbound

This paper cites A Large Self-Annotated Corpus for Sarcasm.

Was that Sarcasm?: A Literature Survey on Sarcasm Detection A Large Self-Annotated Corpus for Sarcasm

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-08-12T05:26:23.643577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 8b2928b2-65cf-4c36-9018-40ee3605b178 · outbound

This paper cites an unresolved cited work.

Was that Sarcasm?: A Literature Survey on Sarcasm Detection Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-08-12T05:26:23.896258Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation d8259832-1b44-4b17-93a7-1a200497aca5 · outbound

This paper cites ”Contextualized sarcasm detection on twitter.” Proceedings of the International AAAI Conference on Web and Social Media.Vol.

Was that Sarcasm?: A Literature Survey on Sarcasm Detection ”Contextualized sarcasm detection on twitter.” Proceedings of the International AAAI Conference on Web and Social Media.Vol

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:26:23.881232Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation fba33df9-5a8c-497b-a662-1894db93a8b9 · outbound

This paper cites ”Topic-enriched word embeddings for sarcasm identification.” Computer Science On-line Conference.

Was that Sarcasm?: A Literature Survey on Sarcasm Detection ”Topic-enriched word embeddings for sarcasm identification.” Computer Science On-line Conference

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:26:23.865638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 2a0bf7f3-305c-411f-b7f1-5b925413cc17 · outbound

This paper cites ”Affective Representations for Sarcasm Detection.” The 41st In- ternational ACM SIGIR Conference on Research & Development in Information Retrieval(2018): n.

Was that Sarcasm?: A Literature Survey on Sarcasm Detection ”Affective Representations for Sarcasm Detection.” The 41st In- ternational ACM SIGIR Conference on Research & Development in Information Retrieval(2018): n

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:26:23.849580Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 83fd29a4-da11-4be7-a3b0-8561852d85e6 · outbound

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

Was that Sarcasm?: A Literature Survey on Sarcasm Detection Towards Multimodal Sarcasm Detection (An _Obviously_ Perfect Paper)

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-12T05:26:23.416767Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7e0f9b83-6837-4613-b2e6-8a18bb840b7f · outbound

This paper cites Modeling Intra and Inter-modality Incongruity for Multi-Modal Sarcasm Detection.

Was that Sarcasm?: A Literature Survey on Sarcasm Detection Modeling Intra and Inter-modality Incongruity for Multi-Modal Sarcasm Detection

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:26:23.834359Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 814fc0ad-e789-4280-982e-1072f7c2414a · outbound

This paper cites ”Multi-modal sarcasm detection with interactive in-modal and cross-modal graphs.” Proceedings of the 29th ACM international conference on multimedia.

Was that Sarcasm?: A Literature Survey on Sarcasm Detection ”Multi-modal sarcasm detection with interactive in-modal and cross-modal graphs.” Proceedings of the 29th ACM international conference on multimedia

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:26:23.819307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation db77ff17-126f-46c1-9965-23c0c04a929d · outbound

This paper cites an unresolved cited work.

Was that Sarcasm?: A Literature Survey on Sarcasm Detection Unresolved cited work

Reference 12

Resolution: unresolved; raw_fallback, observed 2026-08-12T05:26:23.803528Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b9f44841-1a71-4e79-ae03-17169b5c8beb · outbound

This paper cites A Term Weighted Neural Language Model and Stacked Bidirectional LSTM Based Framework for Sarcasm Identification.

Was that Sarcasm?: A Literature Survey on Sarcasm Detection A Term Weighted Neural Language Model and Stacked Bidirectional LSTM Based Framework for Sarcasm Identification

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:26:23.788721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 18991309-3b5c-4f1f-9117-bc62aeec3e71 · outbound

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

Was that Sarcasm?: A Literature Survey on Sarcasm Detection Reasoning with Sarcasm by Reading In-Between

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:26:23.772810Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 147f54f3-42ef-4959-b504-1253010d5807 · outbound

This paper cites ”A transformer-based approach to irony and sarcasm detection.” Neural Computing and Appli- cations 32.23 (2020): 17309-17320.

Was that Sarcasm?: A Literature Survey on Sarcasm Detection ”A transformer-based approach to irony and sarcasm detection.” Neural Computing and Appli- cations 32.23 (2020): 17309-17320

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:26:23.757576Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation cdc6c753-b481-4131-a938-63dfd668288c · outbound

This paper cites ”KnowleNet: Knowledge fusion network for multimodal sarcasm detection.” Information Fusion 100 (2023): 101921.

Was that Sarcasm?: A Literature Survey on Sarcasm Detection ”KnowleNet: Knowledge fusion network for multimodal sarcasm detection.” Information Fusion 100 (2023): 101921

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:26:23.740737Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation c34f4908-6cb2-4650-b943-dd0de310391a · outbound

This paper cites ”Conceptnet 5.5: An open multilingual graph of general knowledge.” Proceedings of the AAAI conference on artificial intelligence.

Was that Sarcasm?: A Literature Survey on Sarcasm Detection ”Conceptnet 5.5: An open multilingual graph of general knowledge.” Proceedings of the AAAI conference on artificial intelligence

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:26:23.724226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 67997267-dd39-4926-8258-cff40ac12c14 · outbound

This paper cites ”Multi-modal sarcasm detection in twitter with hierar- chical fusion model.” Proceedings of the 57th annual meeting of the association for computational linguistics.

Was that Sarcasm?: A Literature Survey on Sarcasm Detection ”Multi-modal sarcasm detection in twitter with hierar- chical fusion model.” Proceedings of the 57th annual meeting of the association for computational linguistics

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:26:23.708503Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 5ecfbea6-8b28-4c4b-a13c-6b3d77a83eab · outbound

This paper cites ”Neural image caption generation with visual attention.” Proc.

Was that Sarcasm?: A Literature Survey on Sarcasm Detection ”Neural image caption generation with visual attention.” Proc

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:26:23.692551Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 11717fe6-2418-4284-921c-d6d2629b7402 · outbound

This paper cites FLUTE: Figurative Language Understanding through Textual Explanations.

Was that Sarcasm?: A Literature Survey on Sarcasm Detection FLUTE: Figurative Language Understanding through Textual Explanations

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-12T05:26:23.470398Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0cbd9cba-f71e-4de5-b93d-3645593277f4 · outbound

This paper cites When did you become so smart, oh wise one?! Sarcasm Explanation in Multi-modal Multi-party Dialogues.

Was that Sarcasm?: A Literature Survey on Sarcasm Detection When did you become so smart, oh wise one?! Sarcasm Explanation in Multi-modal Multi-party Dialogues

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-12T05:26:23.475375Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cb4b4e0f-a6ee-4cf1-bf28-3fb8ac3ff0c4 · outbound

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

Was that Sarcasm?: A Literature Survey on Sarcasm Detection Creating and Characterizing a Diverse Corpus of Sarcasm in Dialogue

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-12T05:26:23.480691Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2e042981-dd4a-4195-93bf-1a7b308fe954 · outbound

This paper cites News Headlines Dataset For Sarcasm Detection.

Was that Sarcasm?: A Literature Survey on Sarcasm Detection News Headlines Dataset For Sarcasm Detection

Reference 23

Resolution: verified exact; local_arxiv, observed 2026-08-12T05:26:23.560767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 643bbd54-a6da-4dd1-b7bc-cfbd06d6a6ce · outbound

This paper cites ”Sarcasm detection on czech and english twitter.” COLING 2014, the 25th International Conference on Computational Linguistics.

Was that Sarcasm?: A Literature Survey on Sarcasm Detection ”Sarcasm detection on czech and english twitter.” COLING 2014, the 25th International Conference on Computational Linguistics

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:26:23.675939Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 49697cc1-a632-42de-8ccc-3b084665ab18 · outbound

This paper cites Argument Strength is in the Eye of the Beholder: Audience Effects in Persuasion.

Was that Sarcasm?: A Literature Survey on Sarcasm Detection Argument Strength is in the Eye of the Beholder: Audience Effects in Persuasion

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-12T05:26:23.495554Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3f2b0ec6-fd2a-49ac-8cb7-efbb86eee2e7 · outbound

This paper cites ”Sarcasm as contrast between a positive sentiment and negative situation.” Proceedings of the 2013 conference on empirical methods in natural language processing.

Was that Sarcasm?: A Literature Survey on Sarcasm Detection ”Sarcasm as contrast between a positive sentiment and negative situation.” Proceedings of the 2013 conference on empirical methods in natural language processing

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:26:23.660145Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Pith citing papers

No inbound Pith citation observations are available.