Paper Citation Record · LEDGER

HCIG: A Hierarchical Cross-Modal Incongruity Graph Network for Multimodal Sarcasm and Cyberbullying Detection

As of 18 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 0 inbound Pith citation observations for arXiv:2607.16076.

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

pith.paper-citation-record.v1
2607.16076 v1

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T21:28:43.237576Z

measured 40 of 40 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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

40 of 40 outbound references displayed

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External citation measurements

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Outbound references

Observation 82d51e6b-6076-4545-9227-762cd88b381c · outbound

This paper cites BERT: Pre-training of deep bidi- rectional transformers for language understanding,.

HCIG: A Hierarchical Cross-Modal Incongruity Graph Network for Multimodal Sarcasm and Cyberbullying Detection BERT: Pre-training of deep bidi- rectional transformers for language understanding,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-01T21:28:37.667245Z

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Observation 7a6374ec-fa03-43c3-98ed-806e442fc497 · outbound

This paper cites Multi-modal sarcasm detection in Twitter with hierarchical fusion model,.

HCIG: A Hierarchical Cross-Modal Incongruity Graph Network for Multimodal Sarcasm and Cyberbullying Detection Multi-modal sarcasm detection in Twitter with hierarchical fusion model,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-01T21:28:37.783137Z

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Observation 1d319efc-429b-4c46-a852-cc9108f42671 · outbound

This paper cites Detecting sarcasm in multimodal social platforms,.

HCIG: A Hierarchical Cross-Modal Incongruity Graph Network for Multimodal Sarcasm and Cyberbullying Detection Detecting sarcasm in multimodal social platforms,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-01T21:28:37.967033Z

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Observation 71d1e9ad-f2ea-4ef8-bfe9-532889168eb9 · outbound

This paper cites Reasoning with multimodal sarcastic tweets via model- ing cross-modality contrast and semantic association,.

HCIG: A Hierarchical Cross-Modal Incongruity Graph Network for Multimodal Sarcasm and Cyberbullying Detection Reasoning with multimodal sarcastic tweets via model- ing cross-modality contrast and semantic association,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-01T21:28:38.079944Z

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Observation ebf14eef-0467-4645-83e5-31d115df058b · outbound

This paper cites Modeling intra and inter-modality incongruity for multi-modal sarcasm detection,.

HCIG: A Hierarchical Cross-Modal Incongruity Graph Network for Multimodal Sarcasm and Cyberbullying Detection Modeling intra and inter-modality incongruity for multi-modal sarcasm detection,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-01T21:28:38.220236Z

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Unavailable: canonical work link unavailable.

Observation 14c6e580-f896-4504-865d-cccd129a5de3 · outbound

This paper cites Multi-modal sarcasm detection with interactive in-modal and cross-modal graphs,.

HCIG: A Hierarchical Cross-Modal Incongruity Graph Network for Multimodal Sarcasm and Cyberbullying Detection Multi-modal sarcasm detection with interactive in-modal and cross-modal graphs,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-01T21:28:38.354200Z

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Unavailable: canonical work link unavailable.

Observation 645766e3-20d3-45d4-b8b4-bb470c0a85ba · outbound

This paper cites Multi-modal sarcasm detection via cross-modal graph convolutional network,.

HCIG: A Hierarchical Cross-Modal Incongruity Graph Network for Multimodal Sarcasm and Cyberbullying Detection Multi-modal sarcasm detection via cross-modal graph convolutional network,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-01T21:28:38.504770Z

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Observation 909f349e-66d9-4ef8-87ca-d0f1ca33a3cb · outbound

This paper cites MMSD2.0: Towards a reliable multi-modal sarcasm detection system,.

HCIG: A Hierarchical Cross-Modal Incongruity Graph Network for Multimodal Sarcasm and Cyberbullying Detection MMSD2.0: Towards a reliable multi-modal sarcasm detection system,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-01T21:28:38.663700Z

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Observation 814e7428-8c83-4236-9d98-88c0a38908e5 · outbound

This paper cites A human- centered systematic literature review of cyberbullying detection algorithms,.

HCIG: A Hierarchical Cross-Modal Incongruity Graph Network for Multimodal Sarcasm and Cyberbullying Detection A human- centered systematic literature review of cyberbullying detection algorithms,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-01T21:28:38.847246Z

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Observation c805027e-4ebf-4b0b-abad-55dd0d8ebf6e · outbound

This paper cites Cyberbullying detection and machine learning: A systematic literature review,.

HCIG: A Hierarchical Cross-Modal Incongruity Graph Network for Multimodal Sarcasm and Cyberbullying Detection Cyberbullying detection and machine learning: A systematic literature review,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-01T21:28:39.025316Z

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Observation 2346d3b7-dd13-42c0-8b44-af3e06ceeaae · outbound

This paper cites A multitask framework for sentiment, emotion and sarcasm aware cyberbullying detection from multi-modal code-mixed memes,.

HCIG: A Hierarchical Cross-Modal Incongruity Graph Network for Multimodal Sarcasm and Cyberbullying Detection A multitask framework for sentiment, emotion and sarcasm aware cyberbullying detection from multi-modal code-mixed memes,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-01T21:28:39.177562Z

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Observation dd47774e-13e6-4b7d-8560-f083c421b0f6 · outbound

This paper cites The hateful memes challenge: Detecting hate speech in multimodal memes,.

HCIG: A Hierarchical Cross-Modal Incongruity Graph Network for Multimodal Sarcasm and Cyberbullying Detection The hateful memes challenge: Detecting hate speech in multimodal memes,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-01T21:28:39.358350Z

Source-reported events for the cited work

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Observation 61879779-bd4d-440f-a558-d221597726c3 · outbound

This paper cites Exploring hate speech detection in multimodal publications,.

HCIG: A Hierarchical Cross-Modal Incongruity Graph Network for Multimodal Sarcasm and Cyberbullying Detection Exploring hate speech detection in multimodal publications,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-01T21:28:39.542321Z

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Unavailable: canonical work link unavailable.

Observation a6e65000-6430-4f32-b535-79c0d1576cc2 · outbound

This paper cites Disentangling hate in online memes,.

HCIG: A Hierarchical Cross-Modal Incongruity Graph Network for Multimodal Sarcasm and Cyberbullying Detection Disentangling hate in online memes,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-01T21:28:39.707444Z

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Unavailable: canonical work link unavailable.

Observation fe154cde-2d78-4be9-b34f-a8b01540c346 · outbound

This paper cites Multimodal hate speech detection via cross- domain knowledge transfer,.

HCIG: A Hierarchical Cross-Modal Incongruity Graph Network for Multimodal Sarcasm and Cyberbullying Detection Multimodal hate speech detection via cross- domain knowledge transfer,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-01T21:28:39.813127Z

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Observation 11f5b15b-b60c-4cb2-bab0-4311feb47633 · outbound

This paper cites Deciphering hate: Identifying hate- ful memes and their targets,.

HCIG: A Hierarchical Cross-Modal Incongruity Graph Network for Multimodal Sarcasm and Cyberbullying Detection Deciphering hate: Identifying hate- ful memes and their targets,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-01T21:28:39.938264Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1e5a1796-e97b-4ec8-ace1-edefb9ce7951 · outbound

This paper cites Detecting Hate Speech in Multi-modal Memes.

HCIG: A Hierarchical Cross-Modal Incongruity Graph Network for Multimodal Sarcasm and Cyberbullying Detection Detecting Hate Speech in Multi-modal Memes

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-01T21:28:40.116140Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3ac2f101-fd0c-4bd9-9029-d865251f039d · outbound

This paper cites A Multimodal Framework for the Detection of Hateful Memes.

HCIG: A Hierarchical Cross-Modal Incongruity Graph Network for Multimodal Sarcasm and Cyberbullying Detection A Multimodal Framework for the Detection of Hateful Memes

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-01T21:28:40.237629Z

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Unavailable: canonical work link unavailable.

Observation 1cc4e7cb-cc00-4b2b-a0be-0465e00408fb · outbound

This paper cites Hate speech detection and racial bias mit- igation in social media based on BERT model,.

HCIG: A Hierarchical Cross-Modal Incongruity Graph Network for Multimodal Sarcasm and Cyberbullying Detection Hate speech detection and racial bias mit- igation in social media based on BERT model,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-01T21:28:40.390762Z

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Observation f33c7f3b-88e2-4c11-9af3-d2c1d7560a1b · outbound

This paper cites How attentive are graph attention networks?,.

HCIG: A Hierarchical Cross-Modal Incongruity Graph Network for Multimodal Sarcasm and Cyberbullying Detection How attentive are graph attention networks?,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-01T21:28:40.557628Z

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Unavailable: canonical work link unavailable.

Observation c4cb5875-3b2e-4ddf-9a04-1bcadd942c2a · outbound

This paper cites Towards multimodal sarcasm detection (an obviously perfect paper),.

HCIG: A Hierarchical Cross-Modal Incongruity Graph Network for Multimodal Sarcasm and Cyberbullying Detection Towards multimodal sarcasm detection (an obviously perfect paper),

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-01T21:28:40.735185Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6c26fd22-6ba4-428e-b8f9-45b8ee5e62fc · outbound

This paper cites Cyberbullying detection ap- proaches for Arabic texts: A systematic literature review,.

HCIG: A Hierarchical Cross-Modal Incongruity Graph Network for Multimodal Sarcasm and Cyberbullying Detection Cyberbullying detection ap- proaches for Arabic texts: A systematic literature review,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-01T21:28:40.869867Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ce0de2f6-abba-4903-bf3d-bdfe0f2d006e · outbound

This paper cites Navigating sentiment analysis through fusion, learning, utterance, and attention methods: An extensive four-fold perspective survey,.

HCIG: A Hierarchical Cross-Modal Incongruity Graph Network for Multimodal Sarcasm and Cyberbullying Detection Navigating sentiment analysis through fusion, learning, utterance, and attention methods: An extensive four-fold perspective survey,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-01T21:28:40.972890Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 73cb5115-379c-47ef-9ba7-db0ef3e87d40 · outbound

This paper cites SAMER-Net: Speaker-aware multimodal emotion recognition with context-aware attention and graph convolutional networks,.

HCIG: A Hierarchical Cross-Modal Incongruity Graph Network for Multimodal Sarcasm and Cyberbullying Detection SAMER-Net: Speaker-aware multimodal emotion recognition with context-aware attention and graph convolutional networks,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-01T21:28:41.147999Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bc3323cb-7be9-4618-aacf-0f799117800d · outbound

This paper cites MMGCN: Multimodal fusion via deep graph convolu- tion network for emotion recognition in conversation,.

HCIG: A Hierarchical Cross-Modal Incongruity Graph Network for Multimodal Sarcasm and Cyberbullying Detection MMGCN: Multimodal fusion via deep graph convolu- tion network for emotion recognition in conversation,

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-01T21:28:41.208331Z

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Observation c1604758-c79d-48ae-a458-88a5d894cae5 · outbound

This paper cites MHAM: A novel framework for multi- modal sentiment analysis in memes,.

HCIG: A Hierarchical Cross-Modal Incongruity Graph Network for Multimodal Sarcasm and Cyberbullying Detection MHAM: A novel framework for multi- modal sentiment analysis in memes,

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-01T21:28:41.291589Z

Source-reported events for the cited work

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Observation 9dd39c6f-26b4-4609-b348-866fd658566b · outbound

This paper cites A comprehensive survey on graph neural networks,.

HCIG: A Hierarchical Cross-Modal Incongruity Graph Network for Multimodal Sarcasm and Cyberbullying Detection A comprehensive survey on graph neural networks,

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-01T21:28:41.398626Z

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Observation 1b8233f2-b451-426c-a2e7-232e7a9af091 · outbound

This paper cites Semi-supervised classification with graph convolutional net- works,.

HCIG: A Hierarchical Cross-Modal Incongruity Graph Network for Multimodal Sarcasm and Cyberbullying Detection Semi-supervised classification with graph convolutional net- works,

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-01T21:28:41.539347Z

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Observation 8f6dd7db-39bb-4ec0-9dc6-6511e47bbe85 · outbound

This paper cites Graph atten- tion networks,.

HCIG: A Hierarchical Cross-Modal Incongruity Graph Network for Multimodal Sarcasm and Cyberbullying Detection Graph atten- tion networks,

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-01T21:28:41.711249Z

Source-reported events for the cited work

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Observation d5fc21d2-6ce5-432f-bf65-ea441fa7002a · outbound

This paper cites Attention is all you need,.

HCIG: A Hierarchical Cross-Modal Incongruity Graph Network for Multimodal Sarcasm and Cyberbullying Detection Attention is all you need,

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-01T21:28:41.851563Z

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Observation aea6a17f-fec8-42e1-bd5f-f71de810ca62 · outbound

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

HCIG: A Hierarchical Cross-Modal Incongruity Graph Network for Multimodal Sarcasm and Cyberbullying Detection RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 31

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Observation 1b524646-49bd-448f-b1d6-435b96e02e39 · outbound

This paper cites An image is worth 16x16 words: Transformers for image recognition at scale,.

HCIG: A Hierarchical Cross-Modal Incongruity Graph Network for Multimodal Sarcasm and Cyberbullying Detection An image is worth 16x16 words: Transformers for image recognition at scale,

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-01T21:28:42.166501Z

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Observation cf4c65e5-6ccf-4a6b-bfca-5f80b99c559c · outbound

This paper cites Decoupled weight decay regularization,.

HCIG: A Hierarchical Cross-Modal Incongruity Graph Network for Multimodal Sarcasm and Cyberbullying Detection Decoupled weight decay regularization,

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-01T21:28:42.294779Z

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Observation 27d433cb-81fe-4912-94a7-c7c398970d73 · outbound

This paper cites Adam: A method for stochastic optimization,.

HCIG: A Hierarchical Cross-Modal Incongruity Graph Network for Multimodal Sarcasm and Cyberbullying Detection Adam: A method for stochastic optimization,

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-01T21:28:42.394242Z

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Observation a41cd7b5-3c40-46cc-88a0-d75e33d8920e · outbound

This paper cites Learning transferable visual models from natural language supervision,.

HCIG: A Hierarchical Cross-Modal Incongruity Graph Network for Multimodal Sarcasm and Cyberbullying Detection Learning transferable visual models from natural language supervision,

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-01T21:28:42.555173Z

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Observation 4ff917e7-4fef-48a6-b76e-4a4765277319 · outbound

This paper cites ViLBERT: Pretraining task-agnostic visiolin- guistic representations for vision-and-language tasks,.

HCIG: A Hierarchical Cross-Modal Incongruity Graph Network for Multimodal Sarcasm and Cyberbullying Detection ViLBERT: Pretraining task-agnostic visiolin- guistic representations for vision-and-language tasks,

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-01T21:28:42.690806Z

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Observation 359a3388-57ea-4692-9126-eab7c9935b8a · outbound

This paper cites Grad- CAM: Visual explanations from deep networks via gradient-based localization,.

HCIG: A Hierarchical Cross-Modal Incongruity Graph Network for Multimodal Sarcasm and Cyberbullying Detection Grad- CAM: Visual explanations from deep networks via gradient-based localization,

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-01T21:28:42.799867Z

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Observation 73522050-c1e2-4af8-bf13-f41028c1379f · outbound

This paper cites Sinkhorn distances: Lightspeed computation of optimal transport,.

HCIG: A Hierarchical Cross-Modal Incongruity Graph Network for Multimodal Sarcasm and Cyberbullying Detection Sinkhorn distances: Lightspeed computation of optimal transport,

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-01T21:28:42.955142Z

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Observation 783ec172-0246-4349-83a1-6de11111e934 · outbound

This paper cites Evidential deep learning to quantify classification uncertainty,.

HCIG: A Hierarchical Cross-Modal Incongruity Graph Network for Multimodal Sarcasm and Cyberbullying Detection Evidential deep learning to quantify classification uncertainty,

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-01T21:28:43.075604Z

Source-reported events for the cited work

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Observation e4ebd50a-e1cc-40ed-bc26-8736c6ffc40b · outbound

This paper cites Deep residual learning for image recognition,.

HCIG: A Hierarchical Cross-Modal Incongruity Graph Network for Multimodal Sarcasm and Cyberbullying Detection Deep residual learning for image recognition,

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-01T21:28:43.237576Z

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Pith citing papers

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