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Paper Citation Record · LEDGER

Co-AttenDWG: Co-Attentive Dimension-Wise Gating and Expert Fusion for Multi-Modal Offensive Content Detection

As of 19 August 2026, this Paper Citation Record lists 52 of 52 outbound references and 0 inbound Pith citation observations for arXiv:2505.19010.

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

pith.paper-citation-record.v1
2505.19010 v2

Coverage vector

measured 52 of 52 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:25:42.697041Z

measured 52 of 52 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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

52 of 52 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7426dc14-bf73-4f5e-b7ac-79213c5db4ea · outbound

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

Co-AttenDWG: Co-Attentive Dimension-Wise Gating and Expert Fusion for Multi-Modal Offensive Content Detection Multimodal machine learning: A survey and taxonomy,

Reference 1

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Observation f24c4196-a0a5-424c-ac26-7860ebe3edc7 · outbound

This paper cites Multimodal deep learning.

Co-AttenDWG: Co-Attentive Dimension-Wise Gating and Expert Fusion for Multi-Modal Offensive Content Detection Multimodal deep learning

Reference 2

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Observation 2b420d81-273b-4fdd-ac56-9acab1fcb84b · outbound

This paper cites Emogif: A multimodal approach to detect emotional support in animated gifs,.

Co-AttenDWG: Co-Attentive Dimension-Wise Gating and Expert Fusion for Multi-Modal Offensive Content Detection Emogif: A multimodal approach to detect emotional support in animated gifs,

Reference 3

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Observation 902f643d-cccd-451a-8b66-850a5ffae337 · outbound

This paper cites Show, attend and tell: Neural image caption generation with visual attention,.

Co-AttenDWG: Co-Attentive Dimension-Wise Gating and Expert Fusion for Multi-Modal Offensive Content Detection Show, attend and tell: Neural image caption generation with visual attention,

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation c4a83c42-d133-4e0c-ba31-b529b1748ae2 · outbound

This paper cites Multiseao-mix: A multimodal multitask framework for sentiment, emotion, support, and offensive analysis in code-mixed setting,.

Co-AttenDWG: Co-Attentive Dimension-Wise Gating and Expert Fusion for Multi-Modal Offensive Content Detection Multiseao-mix: A multimodal multitask framework for sentiment, emotion, support, and offensive analysis in code-mixed setting,

Reference 5

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 5d41d327-900d-4882-b56f-2318326761f3 · outbound

This paper cites Bert: Pre-training of deep bidirectional transformers for language understanding,.

Co-AttenDWG: Co-Attentive Dimension-Wise Gating and Expert Fusion for Multi-Modal Offensive Content Detection Bert: Pre-training of deep bidirectional transformers for language understanding,

Reference 6

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 16e166f3-61b0-48d1-938a-a71918818feb · outbound

This paper cites Multilingual denoising pre-training for neural machine translation,.

Co-AttenDWG: Co-Attentive Dimension-Wise Gating and Expert Fusion for Multi-Modal Offensive Content Detection Multilingual denoising pre-training for neural machine translation,

Reference 7

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 658d7049-9d45-493b-b371-e5ebc9a0f820 · outbound

This paper cites Unsupervised cross-lingual repre- sentation learning,.

Co-AttenDWG: Co-Attentive Dimension-Wise Gating and Expert Fusion for Multi-Modal Offensive Content Detection Unsupervised cross-lingual repre- sentation learning,

Reference 8

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 7a3f7d40-4490-4c78-8346-0d8f285a8c6c · outbound

This paper cites Imagenet classification with deep convolutional neural networks,.

Co-AttenDWG: Co-Attentive Dimension-Wise Gating and Expert Fusion for Multi-Modal Offensive Content Detection Imagenet classification with deep convolutional neural networks,

Reference 9

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 6d7b13d8-ce9c-4d2d-9382-3a8f5f05fb59 · outbound

This paper cites Deep residual learning for image recognition,.

Co-AttenDWG: Co-Attentive Dimension-Wise Gating and Expert Fusion for Multi-Modal Offensive Content Detection Deep residual learning for image recognition,

Reference 10

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no resolver link, observed 2026-08-07T14:25:38.624541Z

Source-reported events for the cited work

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Observation f1d1876b-3b70-424b-8a05-1bea3487143f · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Co-AttenDWG: Co-Attentive Dimension-Wise Gating and Expert Fusion for Multi-Modal Offensive Content Detection An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 11

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation dd71c400-66c0-4fef-b5a6-a41928fc1343 · outbound

This paper cites Vilbert: Pretraining task-agnostic visiolinguistic representations for vision-and-language tasks,.

Co-AttenDWG: Co-Attentive Dimension-Wise Gating and Expert Fusion for Multi-Modal Offensive Content Detection Vilbert: Pretraining task-agnostic visiolinguistic representations for vision-and-language tasks,

Reference 12

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation ad827976-8831-489f-b4b5-16461dbe007a · outbound

This paper cites LXMERT: Learning Cross-Modality Encoder Representations from Transformers.

Co-AttenDWG: Co-Attentive Dimension-Wise Gating and Expert Fusion for Multi-Modal Offensive Content Detection LXMERT: Learning Cross-Modality Encoder Representations from Transformers

Reference 13

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unresolved
no resolver link, observed 2026-08-07T14:25:38.844816Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation c6891c61-a7a7-47f5-8ff2-e98e354b9148 · outbound

This paper cites VisualBERT: A Simple and Performant Baseline for Vision and Language.

Co-AttenDWG: Co-Attentive Dimension-Wise Gating and Expert Fusion for Multi-Modal Offensive Content Detection VisualBERT: A Simple and Performant Baseline for Vision and Language

Reference 14

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unresolved
no resolver link, observed 2026-08-07T14:25:38.941875Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 44702e3d-d257-4b8d-bf43-a3528f56e3dd · outbound

This paper cites Uniter: Learning universal image-text representations,.

Co-AttenDWG: Co-Attentive Dimension-Wise Gating and Expert Fusion for Multi-Modal Offensive Content Detection Uniter: Learning universal image-text representations,

Reference 15

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 6ea5b5c5-9a58-4e88-98ab-87d2a4d5813e · outbound

This paper cites Dimension-wise gated cross-attention for multimodal sentiment analysis,.

Co-AttenDWG: Co-Attentive Dimension-Wise Gating and Expert Fusion for Multi-Modal Offensive Content Detection Dimension-wise gated cross-attention for multimodal sentiment analysis,

Reference 16

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 3ee61b13-c91d-4c1f-844d-3ed3e0a293fe · outbound

This paper cites Multimodal transformer for unaligned multimodal language sequences,.

Co-AttenDWG: Co-Attentive Dimension-Wise Gating and Expert Fusion for Multi-Modal Offensive Content Detection Multimodal transformer for unaligned multimodal language sequences,

Reference 17

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Source-reported events for the cited work

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Observation 4a72b04b-181d-4c65-9fce-f816c012b36e · outbound

This paper cites Relation-aware graph attention network for visual question answering,.

Co-AttenDWG: Co-Attentive Dimension-Wise Gating and Expert Fusion for Multi-Modal Offensive Content Detection Relation-aware graph attention network for visual question answering,

Reference 18

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 5fed8fd8-0564-41d0-aaea-03421edce743 · outbound

This paper cites Multi-modal discussion transformer: Integrating text, images and graph transformers to detect hate speech on social media,.

Co-AttenDWG: Co-Attentive Dimension-Wise Gating and Expert Fusion for Multi-Modal Offensive Content Detection Multi-modal discussion transformer: Integrating text, images and graph transformers to detect hate speech on social media,

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation d93366e1-d6b7-4950-899b-982d557f0de2 · outbound

This paper cites Multimodal sentiment analysis in realistic environments based on cross-modal hierarchical fusion network,.

Co-AttenDWG: Co-Attentive Dimension-Wise Gating and Expert Fusion for Multi-Modal Offensive Content Detection Multimodal sentiment analysis in realistic environments based on cross-modal hierarchical fusion network,

Reference 20

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 4c4ec39b-7d84-4557-a1c6-48705d2ba659 · outbound

This paper cites Supervised Multimodal Bitransformers for Classifying Images and Text.

Co-AttenDWG: Co-Attentive Dimension-Wise Gating and Expert Fusion for Multi-Modal Offensive Content Detection Supervised Multimodal Bitransformers for Classifying Images and Text

Reference 21

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Observation 0c8edc1f-0588-410a-ba91-3e1aba14e250 · outbound

This paper cites Emotion Based Hate Speech Detection using Multimodal Learning.

Co-AttenDWG: Co-Attentive Dimension-Wise Gating and Expert Fusion for Multi-Modal Offensive Content Detection Emotion Based Hate Speech Detection using Multimodal Learning

Reference 22

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verified exact
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Source-reported events for the cited work

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Observation a5aea849-5b60-4c91-9ba3-ba9f74292407 · outbound

This paper cites Multimodal datasets: misogyny, pornography, and malignant stereotypes.

Co-AttenDWG: Co-Attentive Dimension-Wise Gating and Expert Fusion for Multi-Modal Offensive Content Detection Multimodal datasets: misogyny, pornography, and malignant stereotypes

Reference 23

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Source-reported events for the cited work

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Observation a63db17a-0cde-4306-8178-6f0a8f633a4f · outbound

This paper cites Mul- timodal meme dataset (multioff) for identifying offensive content in image and text,.

Co-AttenDWG: Co-Attentive Dimension-Wise Gating and Expert Fusion for Multi-Modal Offensive Content Detection Mul- timodal meme dataset (multioff) for identifying offensive content in image and text,

Reference 24

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 924dd7b5-3204-484c-99ed-2cf634370c1c · outbound

This paper cites Multi-modal twitter data analysis for identifying offensive posts using a deep cross atten- tion based transformer framework,.

Co-AttenDWG: Co-Attentive Dimension-Wise Gating and Expert Fusion for Multi-Modal Offensive Content Detection Multi-modal twitter data analysis for identifying offensive posts using a deep cross atten- tion based transformer framework,

Reference 25

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 19cedcaf-9350-41c0-8402-9057ca17d359 · outbound

This paper cites Multimodal large language model with lora fine-tuning for multimodal sentiment analysis,.

Co-AttenDWG: Co-Attentive Dimension-Wise Gating and Expert Fusion for Multi-Modal Offensive Content Detection Multimodal large language model with lora fine-tuning for multimodal sentiment analysis,

Reference 26

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation e256ead2-3cde-417b-9d39-4c69b2de92fa · outbound

This paper cites Image–text sentiment analysis via deep multimodal attentive fusion,.

Co-AttenDWG: Co-Attentive Dimension-Wise Gating and Expert Fusion for Multi-Modal Offensive Content Detection Image–text sentiment analysis via deep multimodal attentive fusion,

Reference 27

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation e48b2613-2a04-4f89-ac37-67063a941e84 · outbound

This paper cites Pars-off: a benchmark for offensive language detec- tion on farsi social media,.

Co-AttenDWG: Co-Attentive Dimension-Wise Gating and Expert Fusion for Multi-Modal Offensive Content Detection Pars-off: a benchmark for offensive language detec- tion on farsi social media,

Reference 28

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verified fuzzy
raw_fallback, observed 2026-08-07T14:25:43.978578Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T14:25:40.263544Z digest=sha256:997e95062229f154fc7c1592c8927b110ff9a92c9ab458eb3cf9773bca0c3a33

Observation f80807ea-ea4f-4792-a99f-57678393c689 · outbound

This paper cites Djmf: A discriminative joint multi-task framework for multimodal sentiment analysis based on intra- and inter-task dynamics,.

Co-AttenDWG: Co-Attentive Dimension-Wise Gating and Expert Fusion for Multi-Modal Offensive Content Detection Djmf: A discriminative joint multi-task framework for multimodal sentiment analysis based on intra- and inter-task dynamics,

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:25:43.968244Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 7c3c2271-7254-4da2-b889-e6c1c827665f · outbound

This paper cites Joint multimodal sentiment analysis based on information relevance,.

Co-AttenDWG: Co-Attentive Dimension-Wise Gating and Expert Fusion for Multi-Modal Offensive Content Detection Joint multimodal sentiment analysis based on information relevance,

Reference 30

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verified fuzzy
raw_fallback, observed 2026-08-07T14:25:43.956788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T14:25:40.447134Z digest=sha256:55b4c094d2eb17b88cc5c55c6dd0b4d5d155bbf58b3217c82945e8c19162eacf

Observation 1cac5b3c-82ce-4f10-8915-069425dd6992 · outbound

This paper cites Decoding memes: a comprehensive analysis of late and early fusion models for explainable meme analysis,.

Co-AttenDWG: Co-Attentive Dimension-Wise Gating and Expert Fusion for Multi-Modal Offensive Content Detection Decoding memes: a comprehensive analysis of late and early fusion models for explainable meme analysis,

Reference 31

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verified fuzzy
raw_fallback, observed 2026-08-07T14:25:43.945663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation c1839d22-1d2f-49f5-8cd2-070c29f005bf · outbound

This paper cites Multimodal sentiment analysis based on fusion methods: A survey,.

Co-AttenDWG: Co-Attentive Dimension-Wise Gating and Expert Fusion for Multi-Modal Offensive Content Detection Multimodal sentiment analysis based on fusion methods: A survey,

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:25:43.935069Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 3e1398ab-bf55-4472-b599-16a963d673b1 · outbound

This paper cites Multi- modal sentiment analysis: A systematic review of history, datasets, mul- timodal fusion methods, applications, challenges and future directions,.

Co-AttenDWG: Co-Attentive Dimension-Wise Gating and Expert Fusion for Multi-Modal Offensive Content Detection Multi- modal sentiment analysis: A systematic review of history, datasets, mul- timodal fusion methods, applications, challenges and future directions,

Reference 33

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Unavailable: canonical work link unavailable.

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Observation 787d78ac-3e24-473c-b2e7-813b1d07a987 · outbound

This paper cites Mm-emor: multi-modal emotion recognition of social media using concatenated deep learning networks,.

Co-AttenDWG: Co-Attentive Dimension-Wise Gating and Expert Fusion for Multi-Modal Offensive Content Detection Mm-emor: multi-modal emotion recognition of social media using concatenated deep learning networks,

Reference 34

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verified fuzzy
raw_fallback, observed 2026-08-07T14:25:43.918379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 8815cea7-11ac-4991-9b05-e3eb1fff0983 · outbound

This paper cites Syntax-aware Hybrid prompt model for Few-shot multi-modal sentiment analysis.

Co-AttenDWG: Co-Attentive Dimension-Wise Gating and Expert Fusion for Multi-Modal Offensive Content Detection Syntax-aware Hybrid prompt model for Few-shot multi-modal sentiment analysis

Reference 35

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no resolver link, observed 2026-08-07T14:25:40.877041Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:25:40.877041Z digest=sha256:df30a1361c7e3836ef1442d88292fe1a7d012ec203d25ba76c6122f37f05917f

Observation 62ddbb3a-c3ae-48ae-a559-7fddf7ca87e8 · outbound

This paper cites Offensive language detection for low resource language using deep sequence model,.

Co-AttenDWG: Co-Attentive Dimension-Wise Gating and Expert Fusion for Multi-Modal Offensive Content Detection Offensive language detection for low resource language using deep sequence model,

Reference 36

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verified fuzzy
raw_fallback, observed 2026-08-07T14:25:43.906939Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 89c03910-56f2-4eff-afc3-d261b6131c18 · outbound

This paper cites Research on multimodal hate speech detection based on self-attention mechanism feature fusion,.

Co-AttenDWG: Co-Attentive Dimension-Wise Gating and Expert Fusion for Multi-Modal Offensive Content Detection Research on multimodal hate speech detection based on self-attention mechanism feature fusion,

Reference 37

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verified fuzzy
raw_fallback, observed 2026-08-07T14:25:43.895778Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 8cd85a84-b3a1-42b6-9d9f-4c27380292ad · outbound

This paper cites Multi-modal sentiment analysis based on image and text fusion using a cross-attention mechanism,.

Co-AttenDWG: Co-Attentive Dimension-Wise Gating and Expert Fusion for Multi-Modal Offensive Content Detection Multi-modal sentiment analysis based on image and text fusion using a cross-attention mechanism,

Reference 38

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verified fuzzy
raw_fallback, observed 2026-08-07T14:25:43.885467Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T14:25:41.090917Z digest=sha256:903f6943660cd7ab936e30d222b35de4c93ee280f7257b313be3356621297670

Observation 521a7d7b-7ab5-4c0c-b318-f9d3341605cd · outbound

This paper cites Fusion and discrimina- tion: A multimodal graph contrastive learning framework for multimodal sarcasm detection,.

Co-AttenDWG: Co-Attentive Dimension-Wise Gating and Expert Fusion for Multi-Modal Offensive Content Detection Fusion and discrimina- tion: A multimodal graph contrastive learning framework for multimodal sarcasm detection,

Reference 39

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verified fuzzy
raw_fallback, observed 2026-08-07T14:25:43.874199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T14:25:41.181812Z digest=sha256:285a7a003e5f357f7aef87add5ca651db3a54af6ca5274c337fd50a2702db1a7

Observation 7de52236-f4c7-4a8a-997a-80873bfc2197 · outbound

This paper cites Attention is all you need,.

Co-AttenDWG: Co-Attentive Dimension-Wise Gating and Expert Fusion for Multi-Modal Offensive Content Detection Attention is all you need,

Reference 40

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:25:41.331681Z digest=sha256:983d611d54307801bd96598e8a13335de9f77d4234af203f4b45317b45b4ea34

Observation c140f0ea-f23d-4e8c-b59b-82b2663b9dc4 · outbound

This paper cites Squeeze-and-excitation networks,.

Co-AttenDWG: Co-Attentive Dimension-Wise Gating and Expert Fusion for Multi-Modal Offensive Content Detection Squeeze-and-excitation networks,

Reference 41

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no resolver link, observed 2026-08-07T14:25:41.459863Z

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source=pdf_text observed=2026-08-07T14:25:41.459863Z digest=sha256:096630644ca0216edf0c5b54c4c6ad88136bf1e3ae9c09993fb1003187c75444

Observation 9721a778-daa1-4e1d-9eda-760fcdebc20f · outbound

This paper cites Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer.

Co-AttenDWG: Co-Attentive Dimension-Wise Gating and Expert Fusion for Multi-Modal Offensive Content Detection Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer

Reference 42

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no resolver link, observed 2026-08-07T14:25:41.565766Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:25:41.565766Z digest=sha256:fe91bd02f529b706e589d67dcb9eafca0d44a1c622c7f42e2fb7279f39019ac0

Observation f0386b78-c883-4dcc-b185-0528fdbbc1c4 · outbound

This paper cites Layer Normalization.

Co-AttenDWG: Co-Attentive Dimension-Wise Gating and Expert Fusion for Multi-Modal Offensive Content Detection Layer Normalization

Reference 43

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no resolver link, observed 2026-08-07T14:25:41.665332Z

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source=pdf_text observed=2026-08-07T14:25:41.665332Z digest=sha256:9df1d584c382e59ea68da0b327ab57008e5543afc1f0bf9e18bf3855689adb76

Observation 32841303-9c34-4cd8-a6ca-6df8dc9fb3d4 · outbound

This paper cites DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter.

Co-AttenDWG: Co-Attentive Dimension-Wise Gating and Expert Fusion for Multi-Modal Offensive Content Detection DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter

Reference 44

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source=pdf_text observed=2026-08-07T14:25:41.789784Z digest=sha256:1aa22c0b8d578fa4c4a0bd70c03bd52d4aa63756afe2d28872ba6e0075d5b5db

Observation 345bc459-e513-4b40-b9fa-2c4b7f37b9d5 · outbound

This paper cites Very Deep Convolutional Networks for Large-Scale Image Recognition.

Co-AttenDWG: Co-Attentive Dimension-Wise Gating and Expert Fusion for Multi-Modal Offensive Content Detection Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 45

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Observation 0f379533-6fe3-4b33-a10c-f9f43f207ea9 · outbound

This paper cites Efficientnetv2: Smaller models and faster training,.

Co-AttenDWG: Co-Attentive Dimension-Wise Gating and Expert Fusion for Multi-Modal Offensive Content Detection Efficientnetv2: Smaller models and faster training,

Reference 46

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verified fuzzy
raw_fallback, observed 2026-08-07T14:25:43.846765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T14:25:42.053846Z digest=sha256:67baad5bd18e10c418a3e436a7e95a9c641ecf3c9d867182259aa52bfde7ad29

Observation 26927944-0c9c-474a-980c-536ddc2e9062 · outbound

This paper cites Unsupervised cross-lingual representation learning at scale,.

Co-AttenDWG: Co-Attentive Dimension-Wise Gating and Expert Fusion for Multi-Modal Offensive Content Detection Unsupervised cross-lingual representation learning at scale,

Reference 47

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verified fuzzy
raw_fallback, observed 2026-08-07T14:25:43.613111Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T14:25:42.156831Z digest=sha256:77e30babe3358ac684151b1e79a47ae133316e5fddffd6556e28decaeb9ac9e5

Observation e91d9004-aa73-4683-9e67-a1b98d9f00e6 · outbound

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

Co-AttenDWG: Co-Attentive Dimension-Wise Gating and Expert Fusion for Multi-Modal Offensive Content Detection Learning transferable visual models from natural language supervision,

Reference 48

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T14:25:42.254379Z digest=sha256:a6b38f316e56d42d805f07d658c42ea6c7274749f563ee1c47301cd8053d6800

Observation 75e1c397-4e51-4842-8322-de58d87ca50e · outbound

This paper cites Align before fuse: Vision and language representation learning with momentum distillation,.

Co-AttenDWG: Co-Attentive Dimension-Wise Gating and Expert Fusion for Multi-Modal Offensive Content Detection Align before fuse: Vision and language representation learning with momentum distillation,

Reference 49

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unresolved
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source=pdf_text observed=2026-08-07T14:25:42.368041Z digest=sha256:818b33572058fcba38fc58278a2a6055e8980ea864a8cc271987dcc91dca08d9

Observation 2917c82c-04dd-4a1a-a83f-d3b8485219ce · outbound

This paper cites Blip: Bootstrapping language-image pre-training for unified vision-language understanding and generation,.

Co-AttenDWG: Co-Attentive Dimension-Wise Gating and Expert Fusion for Multi-Modal Offensive Content Detection Blip: Bootstrapping language-image pre-training for unified vision-language understanding and generation,

Reference 50

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no resolver link, observed 2026-08-07T14:25:42.505072Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:25:42.505072Z digest=sha256:e60554a78ab5b197f1f39fc62fe8029610a5d8dee35277f7b17d8a1c7415d638

Observation 7c72eb09-ef45-438d-bd65-bd13d7fa27ce · outbound

This paper cites Task report: Memotion analysis 1.0@ semeval 2020: The visuo-lingual metaphor,.

Co-AttenDWG: Co-Attentive Dimension-Wise Gating and Expert Fusion for Multi-Modal Offensive Content Detection Task report: Memotion analysis 1.0@ semeval 2020: The visuo-lingual metaphor,

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:25:43.464721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T14:25:42.601322Z digest=sha256:6b83b49e9052c08e2de959f4b5b7848147409107474aed1628c4ae8c91446769

Observation 34dc37ce-0518-45bc-b2de-3014a1c73e59 · outbound

This paper cites Mimic: misogyny identification in multimodal internet content in hindi-english code-mixed language,.

Co-AttenDWG: Co-Attentive Dimension-Wise Gating and Expert Fusion for Multi-Modal Offensive Content Detection Mimic: misogyny identification in multimodal internet content in hindi-english code-mixed language,

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:25:43.227741Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T14:25:42.697041Z digest=sha256:dca21434628e117e77add395c107e619cbd01870823381582ba942a4743ecd51

Pith citing papers

No inbound Pith citation observations are available.