Paper Citation Record · LEDGER

SemIRNet: A Semantic Irony Recognition Network for Multimodal Sarcasm Detection

As of 12 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 0 inbound Pith citation observations for arXiv:2506.14791.

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

pith.paper-citation-record.v1
2506.14791 v1

Coverage vector

measured 22 of 22 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:09:26.505100Z

measured 22 of 22 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+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

22 of 22 outbound references displayed

verified exact2
verified fuzzy19
unresolved1
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b5dea8f0-058f-4ace-8e08-32e688b0492d · outbound

This paper cites Multimodal machine learning: A survey and taxonomy,.

SemIRNet: A Semantic Irony Recognition Network for Multimodal Sarcasm Detection Multimodal machine learning: A survey and taxonomy,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:09:31.578726Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation b4415362-e217-45e9-9264-88ab97183df1 · outbound

This paper cites Analyzing the Behavior of Visual Question Answering Models.

SemIRNet: A Semantic Irony Recognition Network for Multimodal Sarcasm Detection Analyzing the Behavior of Visual Question Answering Models

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-08-07T13:09:27.086911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 9a354d59-157b-46cc-986c-5226d8850cff · outbound

This paper cites Features and classi- fiers for emotion recognition from speech: a survey from 2000 to 2011,.

SemIRNet: A Semantic Irony Recognition Network for Multimodal Sarcasm Detection Features and classi- fiers for emotion recognition from speech: a survey from 2000 to 2011,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:09:31.391816Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 2276364d-07fa-496f-bef2-a81159b69b54 · outbound

This paper cites Learning to learn with gradients,.

SemIRNet: A Semantic Irony Recognition Network for Multimodal Sarcasm Detection Learning to learn with gradients,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:09:31.178494Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 97da3250-eb7d-4540-9ef5-b5d7b36891f1 · outbound

This paper cites Expressive visual text-to-speech using active appearance models,.

SemIRNet: A Semantic Irony Recognition Network for Multimodal Sarcasm Detection Expressive visual text-to-speech using active appearance models,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:09:30.890272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 405fe560-8f54-4ee6-8e3b-db97c9f55b16 · outbound

This paper cites Neural module networks,.

SemIRNet: A Semantic Irony Recognition Network for Multimodal Sarcasm Detection Neural module networks,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:09:30.652720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 5dd0b9da-a17b-4f64-ba43-f93447acc183 · outbound

This paper cites Deep canonical correlation analysis,.

SemIRNet: A Semantic Irony Recognition Network for Multimodal Sarcasm Detection Deep canonical correlation analysis,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:09:30.466720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 55af7323-9157-461b-9796-0607a121218b · outbound

This paper cites Convolutional neural networks for sentence classification,.

SemIRNet: A Semantic Irony Recognition Network for Multimodal Sarcasm Detection Convolutional neural networks for sentence classification,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:09:30.299721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation d32df577-4d4d-4602-9c82-adbc0c4c77c9 · outbound

This paper cites Enhanced resnet-50 for garbage classification: Feature fusion and depth-separable convolutions,.

SemIRNet: A Semantic Irony Recognition Network for Multimodal Sarcasm Detection Enhanced resnet-50 for garbage classification: Feature fusion and depth-separable convolutions,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:09:30.037584Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 40440ca2-3d62-4e9e-9715-7d99d1a4a1b0 · outbound

This paper cites A probabilistic framework for integrating sentence-level semantics via bert into pseudo-relevance feedback,.

SemIRNet: A Semantic Irony Recognition Network for Multimodal Sarcasm Detection A probabilistic framework for integrating sentence-level semantics via bert into pseudo-relevance feedback,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:09:29.759551Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 54712c59-a890-48f6-9703-64175ddddd67 · outbound

This paper cites Towards sar automatic target recognition: Multi-category sar image classification based on light weight vision transformer,.

SemIRNet: A Semantic Irony Recognition Network for Multimodal Sarcasm Detection Towards sar automatic target recognition: Multi-category sar image classification based on light weight vision transformer,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:09:29.523144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation ac01e549-b32c-41e1-85cc-3ace96896a1f · outbound

This paper cites Machine Learning Approaches for Mental Illness Detection on Social Media: A Systematic Review of Biases and Methodological Challenges.

SemIRNet: A Semantic Irony Recognition Network for Multimodal Sarcasm Detection Machine Learning Approaches for Mental Illness Detection on Social Media: A Systematic Review of Biases and Methodological Challenges

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-08-07T13:09:26.859636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation b9e8fa22-5805-45cf-aaf1-e72011e05846 · outbound

This paper cites Prototype comparison convolutional networks for one-shot segmentation,.

SemIRNet: A Semantic Irony Recognition Network for Multimodal Sarcasm Detection Prototype comparison convolutional networks for one-shot segmentation,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:09:29.305390Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 9e0ff72c-2300-4601-981e-697c8fb2e8c3 · outbound

This paper cites Image-driven prediction system: Automatic extraction of aggregate gradation of pavement core samples integrating deep learning and interactive image processing framework,.

SemIRNet: A Semantic Irony Recognition Network for Multimodal Sarcasm Detection Image-driven prediction system: Automatic extraction of aggregate gradation of pavement core samples integrating deep learning and interactive image processing framework,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:09:29.071872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 478a32cb-b1dc-4f24-a5ac-95492288a6e9 · outbound

This paper cites Breast cancer prediction based on machine learning,.

SemIRNet: A Semantic Irony Recognition Network for Multimodal Sarcasm Detection Breast cancer prediction based on machine learning,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:09:28.813966Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 87d5dc5b-601e-4098-9976-de61e5538881 · outbound

This paper cites Unleashing the Power of Self-Supervised Image Denoising: A Comprehensive Review.

SemIRNet: A Semantic Irony Recognition Network for Multimodal Sarcasm Detection Unleashing the Power of Self-Supervised Image Denoising: A Comprehensive Review

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T13:09:25.692549Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 245dbeba-37c7-4187-9b22-93eff306697e · outbound

This paper cites Adamml: Adaptive multi-modal learn- ing for efficient video recognition,.

SemIRNet: A Semantic Irony Recognition Network for Multimodal Sarcasm Detection Adamml: Adaptive multi-modal learn- ing for efficient video recognition,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:09:28.545731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation f8ecba2e-74e7-4a1d-bad6-34ea05db31c3 · outbound

This paper cites Hka: A hierarchical knowledge alignment framework for multimodal knowledge graph completion,.

SemIRNet: A Semantic Irony Recognition Network for Multimodal Sarcasm Detection Hka: A hierarchical knowledge alignment framework for multimodal knowledge graph completion,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:09:28.247788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 0dc9ab98-95a0-40b9-be35-2778faaf462c · outbound

This paper cites A decade of sentic computing: topic modeling and bibliometric analysis,.

SemIRNet: A Semantic Irony Recognition Network for Multimodal Sarcasm Detection A decade of sentic computing: topic modeling and bibliometric analysis,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:09:28.031063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 2dddadb0-c373-4cbe-8239-77c0fd39627c · outbound

This paper cites Hierarchical attention network with progressive feature fusion for facial expression recognition,.

SemIRNet: A Semantic Irony Recognition Network for Multimodal Sarcasm Detection Hierarchical attention network with progressive feature fusion for facial expression recognition,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:09:27.817626Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 5e4e9793-09f4-45c1-87e8-2025a6cf34a4 · outbound

This paper cites Cad-contextual multi-modal alignment for dynamic avqa,.

SemIRNet: A Semantic Irony Recognition Network for Multimodal Sarcasm Detection Cad-contextual multi-modal alignment for dynamic avqa,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:09:27.560559Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation cd84e633-2b04-4e68-aed4-44085ab6914b · outbound

This paper cites Cognitive-inspired deep learning models for aspect-based sentiment analysis: A retrospective overview and bibliometric analysis,.

SemIRNet: A Semantic Irony Recognition Network for Multimodal Sarcasm Detection Cognitive-inspired deep learning models for aspect-based sentiment analysis: A retrospective overview and bibliometric analysis,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:09:27.296438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Pith citing papers

No inbound Pith citation observations are available.