Paper Citation Record · LEDGER

Hybrid CNN-Mamba Enhancement Network for Robust Multimodal Sentiment Analysis

As of 8 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 0 inbound Pith citation observations for arXiv:2507.23444.

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

pith.paper-citation-record.v1
2507.23444 v1

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T10:48:10.356867Z

measured 31 of 31 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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

31 of 31 outbound references displayed

verified exact2
verified fuzzy27
unresolved2
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0d69d1e0-5fec-40b8-ad19-04ce8fb9b2f3 · outbound

This paper cites Disentangled representation learning for multimodal emotion recognition,.

Hybrid CNN-Mamba Enhancement Network for Robust Multimodal Sentiment Analysis Disentangled representation learning for multimodal emotion recognition,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:48:10.796708Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2cf45c37-e62f-475b-93f8-1c802a17d060 · outbound

This paper cites Hybrid contrastive learning of tri-modal representation for multimodal sentiment analysis,.

Hybrid CNN-Mamba Enhancement Network for Robust Multimodal Sentiment Analysis Hybrid contrastive learning of tri-modal representation for multimodal sentiment analysis,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:48:10.786842Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b9e80e71-9968-445d-abf9-41e84a112eec · outbound

This paper cites Learning language-guided adaptive hyper-modality representation for multimodal sentiment analysis,.

Hybrid CNN-Mamba Enhancement Network for Robust Multimodal Sentiment Analysis Learning language-guided adaptive hyper-modality representation for multimodal sentiment analysis,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:48:10.776006Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 9060a5f0-348f-49db-b6df-dc331071e2f5 · outbound

This paper cites Learning fine-grained representation with token- level alignment for multimodal sentiment analysis,.

Hybrid CNN-Mamba Enhancement Network for Robust Multimodal Sentiment Analysis Learning fine-grained representation with token- level alignment for multimodal sentiment analysis,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:48:10.765283Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 83cf0c6c-735e-4cfa-ba6d-f74e9a8b6b5a · outbound

This paper cites Recognizing emotions in video using multimodal dnn feature fusion,.

Hybrid CNN-Mamba Enhancement Network for Robust Multimodal Sentiment Analysis Recognizing emotions in video using multimodal dnn feature fusion,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:48:10.754993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 91e27e5e-74aa-4b88-92b2-f02b5727c898 · outbound

This paper cites Feature-level fusion approaches based on multimodal eeg data for depression recognition,.

Hybrid CNN-Mamba Enhancement Network for Robust Multimodal Sentiment Analysis Feature-level fusion approaches based on multimodal eeg data for depression recognition,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:48:10.744377Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c32acc45-4a09-4107-beb0-79631330309d · outbound

This paper cites Emotion recognition of affective speech based on multiple classifiers using acoustic-prosodic information and semantic labels,.

Hybrid CNN-Mamba Enhancement Network for Robust Multimodal Sentiment Analysis Emotion recognition of affective speech based on multiple classifiers using acoustic-prosodic information and semantic labels,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:48:10.733457Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 15e417e3-763b-4149-8b9f-177afe888ba9 · outbound

This paper cites Adamow: Mul- timodal sentiment analysis based on adaptive modality-specific weight fusion network,.

Hybrid CNN-Mamba Enhancement Network for Robust Multimodal Sentiment Analysis Adamow: Mul- timodal sentiment analysis based on adaptive modality-specific weight fusion network,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:48:10.722876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2c004c30-8e7f-43b9-addf-af1142bb73da · outbound

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

Hybrid CNN-Mamba Enhancement Network for Robust Multimodal Sentiment Analysis Multimodal transformer for unaligned multimodal language sequences,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:48:10.710969Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 764bdd1b-7863-4892-a46b-3173326be06d · outbound

This paper cites Transformer-based fea- ture reconstruction network for robust multimodal sentiment analysis,.

Hybrid CNN-Mamba Enhancement Network for Robust Multimodal Sentiment Analysis Transformer-based fea- ture reconstruction network for robust multimodal sentiment analysis,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:48:10.700366Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 10a8dc0d-8548-424f-a9a1-a45c20997fad · outbound

This paper cites Cubemlp: An mlp-based model for multimodal sentiment analysis and depression estimation,.

Hybrid CNN-Mamba Enhancement Network for Robust Multimodal Sentiment Analysis Cubemlp: An mlp-based model for multimodal sentiment analysis and depression estimation,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:48:10.689942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8323645c-3923-47d5-b2b4-f69b759d846f · outbound

This paper cites Efficient multimodal transformer with dual-level feature restoration for robust multimodal sentiment analysis,.

Hybrid CNN-Mamba Enhancement Network for Robust Multimodal Sentiment Analysis Efficient multimodal transformer with dual-level feature restoration for robust multimodal sentiment analysis,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:48:10.679046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0d1e0663-792f-4405-8058-fcce419d0dc0 · outbound

This paper cites Tetfn: A text enhanced transformer fusion network for multimodal sentiment analysis,.

Hybrid CNN-Mamba Enhancement Network for Robust Multimodal Sentiment Analysis Tetfn: A text enhanced transformer fusion network for multimodal sentiment analysis,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:48:10.668714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation cef3b2b5-a499-43f3-b2a5-b3815262c472 · outbound

This paper cites Decoupled multimodal distilling for emotion recognition,.

Hybrid CNN-Mamba Enhancement Network for Robust Multimodal Sentiment Analysis Decoupled multimodal distilling for emotion recognition,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:48:10.658993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation fcb5ce9d-bb0e-4d2f-92f6-3c9f2229aa77 · outbound

This paper cites Toward Robust Incomplete Multimodal Sentiment Analysis via Hierarchical Representation Learning.

Hybrid CNN-Mamba Enhancement Network for Robust Multimodal Sentiment Analysis Toward Robust Incomplete Multimodal Sentiment Analysis via Hierarchical Representation Learning

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-08-06T10:48:10.503391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c94a88bf-aae2-4dcc-a194-06ea91c824d1 · outbound

This paper cites Adaptive token selection and fusion network for multimodal sentiment analysis,.

Hybrid CNN-Mamba Enhancement Network for Robust Multimodal Sentiment Analysis Adaptive token selection and fusion network for multimodal sentiment analysis,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:48:10.648868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0b5a381a-e2cc-43fa-b52d-1bbeeab0d25d · outbound

This paper cites Disentanglement translation network for multimodal sentiment analysis,.

Hybrid CNN-Mamba Enhancement Network for Robust Multimodal Sentiment Analysis Disentanglement translation network for multimodal sentiment analysis,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:48:10.637944Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6dc73784-2952-4fc1-a87a-394b7b760ccf · outbound

This paper cites On the parameterization and initialization of diagonal state space models,.

Hybrid CNN-Mamba Enhancement Network for Robust Multimodal Sentiment Analysis On the parameterization and initialization of diagonal state space models,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:48:10.627088Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7e3c6dbd-0df0-43ee-a583-afb0a092a5fa · outbound

This paper cites Mamba: Linear-Time Sequence Modeling with Selective State Spaces.

Hybrid CNN-Mamba Enhancement Network for Robust Multimodal Sentiment Analysis Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T10:48:10.315242Z

Source-reported events for the cited work

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Observation 8fba42d7-b722-4f8c-8fd6-9f0968c583dd · outbound

This paper cites Coupled Mamba: Enhanced Multi-modal Fusion with Coupled State Space Model.

Hybrid CNN-Mamba Enhancement Network for Robust Multimodal Sentiment Analysis Coupled Mamba: Enhanced Multi-modal Fusion with Coupled State Space Model

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T10:48:10.319268Z

Source-reported events for the cited work

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Observation d20e1f15-d7ff-4dda-a108-20fc69549ec3 · outbound

This paper cites Depmamba: Progres- sive fusion mamba for multimodal depression detection,.

Hybrid CNN-Mamba Enhancement Network for Robust Multimodal Sentiment Analysis Depmamba: Progres- sive fusion mamba for multimodal depression detection,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:48:10.616424Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a971b0b8-f569-4fb6-be02-d02ca0a6da21 · outbound

This paper cites Tf-mamba: Text-enhanced fusion mamba with missing modalities for robust multimodal sentiment analysis,.

Hybrid CNN-Mamba Enhancement Network for Robust Multimodal Sentiment Analysis Tf-mamba: Text-enhanced fusion mamba with missing modalities for robust multimodal sentiment analysis,

Reference 22

Resolution: verified exact; raw_fallback, observed 2026-08-06T10:48:10.468839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 094550d4-284d-4823-be7c-00c5dcadd1f8 · outbound

This paper cites Vmamba: Visual state space model,.

Hybrid CNN-Mamba Enhancement Network for Robust Multimodal Sentiment Analysis Vmamba: Visual state space model,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:48:10.605304Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c9d06c28-7031-4f35-b10b-5008c0779bbb · outbound

This paper cites Towards robust multimodal sentiment analysis with incomplete data,.

Hybrid CNN-Mamba Enhancement Network for Robust Multimodal Sentiment Analysis Towards robust multimodal sentiment analysis with incomplete data,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:48:10.594471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d1c55609-4214-4f94-b80f-9b42c2e0cdcc · outbound

This paper cites Misa: Modality-invariant and-specific representations for multimodal sentiment analysis,.

Hybrid CNN-Mamba Enhancement Network for Robust Multimodal Sentiment Analysis Misa: Modality-invariant and-specific representations for multimodal sentiment analysis,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:48:10.583403Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 9edce046-31ad-4a1c-9417-1504a9fc1470 · outbound

This paper cites Learning modality- specific representations with self-supervised multi-task learning for multimodal sentiment analysis,.

Hybrid CNN-Mamba Enhancement Network for Robust Multimodal Sentiment Analysis Learning modality- specific representations with self-supervised multi-task learning for multimodal sentiment analysis,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:48:10.572628Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1bf80300-28de-4022-b6bf-699234a41bca · outbound

This paper cites Improving multimodal fusion with hierarchical mutual information maximization for multimodal sen- timent analysis,.

Hybrid CNN-Mamba Enhancement Network for Robust Multimodal Sentiment Analysis Improving multimodal fusion with hierarchical mutual information maximization for multimodal sen- timent analysis,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:48:10.561289Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c227d0c2-6780-4ad9-b060-0bb2f599ca7c · outbound

This paper cites Cross-modal enhancement network for multimodal sentiment analysis,.

Hybrid CNN-Mamba Enhancement Network for Robust Multimodal Sentiment Analysis Cross-modal enhancement network for multimodal sentiment analysis,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:48:10.549761Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a39ae5ff-e7aa-415b-8e83-d2689818b680 · outbound

This paper cites Cardiovascular disease detection from multi-view chest x-rays with bi-mamba,.

Hybrid CNN-Mamba Enhancement Network for Robust Multimodal Sentiment Analysis Cardiovascular disease detection from multi-view chest x-rays with bi-mamba,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:48:10.538436Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation eb013a67-48f1-4f67-a3d5-90bca3342cd6 · outbound

This paper cites Multimodal sentiment intensity analysis in videos: Facial gestures and verbal messages,.

Hybrid CNN-Mamba Enhancement Network for Robust Multimodal Sentiment Analysis Multimodal sentiment intensity analysis in videos: Facial gestures and verbal messages,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:48:10.526388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b5a93d7a-7102-4d94-9270-5944b78939b3 · outbound

This paper cites Multimodal language analysis in the wild: Cmu-mosei dataset and interpretable dynamic fusion graph,.

Hybrid CNN-Mamba Enhancement Network for Robust Multimodal Sentiment Analysis Multimodal language analysis in the wild: Cmu-mosei dataset and interpretable dynamic fusion graph,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:48:10.514968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Pith citing papers

No inbound Pith citation observations are available.