Paper Citation Record · LEDGER

Rethinking Multimodal Sentiment Analysis: A High-Accuracy, Simplified Fusion Architecture

As of 20 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 0 inbound Pith citation observations for arXiv:2505.04642.

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

pith.paper-citation-record.v1
2505.04642 v1

Coverage vector

measured 25 of 25 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T00:59:33.025292Z

measured 25 of 25 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+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

25 of 25 outbound references displayed

verified exact1
verified fuzzy22
unresolved2
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 11e5c12d-45ff-4d21-97e0-5f3cf3cc4e1f · outbound

This paper cites A review of affective computing: From unimodal analysis to multimodal fusion,.

Rethinking Multimodal Sentiment Analysis: A High-Accuracy, Simplified Fusion Architecture A review of affective computing: From unimodal analysis to multimodal fusion,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:59:33.409665Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 496881d0-19ea-4d58-a71e-76b7f39a5b8d · outbound

This paper cites IEMOCAP: Interactive emotional dyadic motion capture database,.

Rethinking Multimodal Sentiment Analysis: A High-Accuracy, Simplified Fusion Architecture IEMOCAP: Interactive emotional dyadic motion capture database,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:59:33.396541Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 7ee8c013-3369-46f2-aa7c-86e375e49ebe · outbound

This paper cites Memory fusion network for multi-view sequential learning,.

Rethinking Multimodal Sentiment Analysis: A High-Accuracy, Simplified Fusion Architecture Memory fusion network for multi-view sequential learning,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:59:33.383576Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 7f6e6fe6-9c79-453e-9830-3240c0ad1267 · outbound

This paper cites Attention is all you need,.

Rethinking Multimodal Sentiment Analysis: A High-Accuracy, Simplified Fusion Architecture Attention is all you need,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:59:33.370467Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 0a2b6eba-4c7c-454d-ae68-da66ba10927e · outbound

This paper cites On the efficiency of multimodal architectures: A case study in sentiment analysis,.

Rethinking Multimodal Sentiment Analysis: A High-Accuracy, Simplified Fusion Architecture On the efficiency of multimodal architectures: A case study in sentiment analysis,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:59:33.355985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 2b294721-c038-42df-aed4-6a4e72a9e46f · outbound

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

Rethinking Multimodal Sentiment Analysis: A High-Accuracy, Simplified Fusion Architecture Multimodal transformer for unaligned multimodal language sequences,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:59:33.342234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 74bcd481-1232-4964-97e2-7fec72ebf5ca · outbound

This paper cites Opinion mining and sentiment analysis,.

Rethinking Multimodal Sentiment Analysis: A High-Accuracy, Simplified Fusion Architecture Opinion mining and sentiment analysis,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:59:33.327835Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b2513821-0f19-4525-919c-65f74c765c86 · outbound

This paper cites IEMOCAP: Interactive emotional dyadic motion capture database,.

Rethinking Multimodal Sentiment Analysis: A High-Accuracy, Simplified Fusion Architecture IEMOCAP: Interactive emotional dyadic motion capture database,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:59:33.314099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 94f9193e-7c51-45d9-ae99-1c235ad63719 · outbound

This paper cites Domain adaptation for large -scale sentiment classification: A deep learning approach,.

Rethinking Multimodal Sentiment Analysis: A High-Accuracy, Simplified Fusion Architecture Domain adaptation for large -scale sentiment classification: A deep learning approach,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:59:33.300318Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c56cdbd8-c827-4751-830d-5543f7c286b9 · outbound

This paper cites Tensor fusion network for multimodal sentiment analysis,.

Rethinking Multimodal Sentiment Analysis: A High-Accuracy, Simplified Fusion Architecture Tensor fusion network for multimodal sentiment analysis,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:59:33.286452Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 299b4f50-2e41-4162-80fc-4fb4d9d79e6f · outbound

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

Rethinking Multimodal Sentiment Analysis: A High-Accuracy, Simplified Fusion Architecture Multimodal transformer for unaligned multimodal language sequences,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:59:33.272461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation fbabdcaa-01bf-49cc-b84e-99a9b5dd0646 · outbound

This paper cites The Stanford CoreNLP natural language processing toolkit,.

Rethinking Multimodal Sentiment Analysis: A High-Accuracy, Simplified Fusion Architecture The Stanford CoreNLP natural language processing toolkit,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:59:33.244543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 6747edcd-ded3-4b65-9f1d-9ccd347bbe18 · outbound

This paper cites spaCy 2: Natural language understanding with Bloom embeddings, convolutional neural networks and incremental parsing,.

Rethinking Multimodal Sentiment Analysis: A High-Accuracy, Simplified Fusion Architecture spaCy 2: Natural language understanding with Bloom embeddings, convolutional neural networks and incremental parsing,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:59:33.230935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation dfadfaa7-17f4-4af7-a5f6-d38cd8eb1e60 · outbound

This paper cites Audio Spectrogram Transformer: Transformer architecture for audio data representation,.

Rethinking Multimodal Sentiment Analysis: A High-Accuracy, Simplified Fusion Architecture Audio Spectrogram Transformer: Transformer architecture for audio data representation,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:59:33.216170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 52620d57-feb8-42bc-bf10-e7cfb4f32f1a · outbound

This paper cites Speech emotion recognition combining acoustic features and linguistic information in a hybrid SVM - Bayesian network architecture,.

Rethinking Multimodal Sentiment Analysis: A High-Accuracy, Simplified Fusion Architecture Speech emotion recognition combining acoustic features and linguistic information in a hybrid SVM - Bayesian network architecture,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:59:33.201907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 1df16a2c-6d14-42e1-99d9-327b2b3eb194 · outbound

This paper cites Modality -to-modality translation: Adversarial representation learning and graph fusion network,.

Rethinking Multimodal Sentiment Analysis: A High-Accuracy, Simplified Fusion Architecture Modality -to-modality translation: Adversarial representation learning and graph fusion network,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:59:33.187257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 49dddc06-5c96-40b7-9da8-e2013a3df955 · outbound

This paper cites M -SENA: An integrated platform for multimodal sentiment analysis,.

Rethinking Multimodal Sentiment Analysis: A High-Accuracy, Simplified Fusion Architecture M -SENA: An integrated platform for multimodal sentiment analysis,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:59:33.171000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b623f86d-b6aa-4860-b1e8-9821e53e1fae · outbound

This paper cites MOSI: Multimodal Corpus of Sentiment Intensity and Subjectivity Analysis in Online Opinion Videos.

Rethinking Multimodal Sentiment Analysis: A High-Accuracy, Simplified Fusion Architecture MOSI: Multimodal Corpus of Sentiment Intensity and Subjectivity Analysis in Online Opinion Videos

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-16T00:59:32.993558Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6362f5ae-11da-48b3-90a3-23d10b64967b · outbound

This paper cites DialogueTRM: Exploring multimodal emotional dynamics in conversation,.

Rethinking Multimodal Sentiment Analysis: A High-Accuracy, Simplified Fusion Architecture DialogueTRM: Exploring multimodal emotional dynamics in conversation,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:59:33.156374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 9c0b7bd6-bcac-440c-b029-37b032420dcd · outbound

This paper cites LXMERT: Learning cross -modality encoder representations,.

Rethinking Multimodal Sentiment Analysis: A High-Accuracy, Simplified Fusion Architecture LXMERT: Learning cross -modality encoder representations,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:59:33.141468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e98c8923-0dce-463b-8fac-13e242874ca0 · outbound

This paper cites On the efficiency of multimodal architectures: A case study in sentiment analysis,.

Rethinking Multimodal Sentiment Analysis: A High-Accuracy, Simplified Fusion Architecture On the efficiency of multimodal architectures: A case study in sentiment analysis,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:59:33.258312Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f01913a8-7472-4c92-8f98-27365c47f5ad · outbound

This paper cites ScaleVLAD: Improving Multimodal Sentiment Analysis via Multi-Scale Fusion of Locally Descriptors.

Rethinking Multimodal Sentiment Analysis: A High-Accuracy, Simplified Fusion Architecture ScaleVLAD: Improving Multimodal Sentiment Analysis via Multi-Scale Fusion of Locally Descriptors

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-16T00:59:33.011697Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 94c4de2c-b104-45ba-8099-45bc526fcf39 · outbound

This paper cites SentiXRL: An advanced large language Model Framework for Multilingual Fine-Grained Emotion Classification in Complex Text Environment.

Rethinking Multimodal Sentiment Analysis: A High-Accuracy, Simplified Fusion Architecture SentiXRL: An advanced large language Model Framework for Multilingual Fine-Grained Emotion Classification in Complex Text Environment

Reference 25

Resolution: verified exact; local_arxiv, observed 2026-08-16T00:59:33.066519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 187de330-df0d-4c26-8189-11676d2cd9e4 · outbound

This paper cites Tensor Fusion Network for multimodal sentiment analysis,.

Rethinking Multimodal Sentiment Analysis: A High-Accuracy, Simplified Fusion Architecture Tensor Fusion Network for multimodal sentiment analysis,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:59:33.126281Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 4c06f9c7-8361-42e1-a57e-857dd466b661 · outbound

This paper cites Multimodal deep learning,.

Rethinking Multimodal Sentiment Analysis: A High-Accuracy, Simplified Fusion Architecture Multimodal deep learning,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:59:33.111420Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Pith citing papers

No inbound Pith citation observations are available.