Paper Citation Record · LEDGER

AlignMamba: Enhancing Multimodal Mamba with Local and Global Cross-modal Alignment

As of 12 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 0 inbound Pith citation observations for arXiv:2412.00833.

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

pith.paper-citation-record.v1
2412.00833 v1

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T05:01:42.107189Z

measured 44 of 44 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

44 of 44 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7d4c8d41-7d60-4e73-ad17-52a33022ce7a · outbound

This paper cites Deep canonical correlation analysis.

AlignMamba: Enhancing Multimodal Mamba with Local and Global Cross-modal Alignment Deep canonical correlation analysis

Reference 1

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Observation c7f7d7b1-bf6e-4b5f-9ada-9927b5f49c2c · outbound

This paper cites Fusion-Mamba for Cross-modality Object Detection.

AlignMamba: Enhancing Multimodal Mamba with Local and Global Cross-modal Alignment Fusion-Mamba for Cross-modality Object Detection

Reference 2

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Observation f5f1e30c-302c-4ee9-bc40-be641096c485 · outbound

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

AlignMamba: Enhancing Multimodal Mamba with Local and Global Cross-modal Alignment Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 3

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Observation 6cfd4e9d-3cd8-4111-b126-ae96613244b8 · outbound

This paper cites Combining recurrent, convolutional, and continuous-time models with linear state space layers.

AlignMamba: Enhancing Multimodal Mamba with Local and Global Cross-modal Alignment Combining recurrent, convolutional, and continuous-time models with linear state space layers

Reference 4

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Observation 921e6ac1-74c2-4917-b30c-e99069d7f5ab · outbound

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

AlignMamba: Enhancing Multimodal Mamba with Local and Global Cross-modal Alignment On the parameterization and initialization of diagonal state space models

Reference 5

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Observation 7207e367-8a94-49b3-9304-b8935b3e3654 · outbound

This paper cites Improving Multimodal Fusion with Hierarchical Mutual Information Maximization for Multimodal Sentiment Analysis.

AlignMamba: Enhancing Multimodal Mamba with Local and Global Cross-modal Alignment Improving Multimodal Fusion with Hierarchical Mutual Information Maximization for Multimodal Sentiment Analysis

Reference 6

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Observation b96632cf-0d47-4f91-8e05-b88899998e9f · outbound

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

AlignMamba: Enhancing Multimodal Mamba with Local and Global Cross-modal Alignment Misa: Modality-invariant and-specific representations for multimodal sentiment analysis

Reference 7

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Observation cde4110f-c286-41d0-bd8b-f3d86c349325 · outbound

This paper cites Pan-Mamba: Effective pan-sharpening with State Space Model.

AlignMamba: Enhancing Multimodal Mamba with Local and Global Cross-modal Alignment Pan-Mamba: Effective pan-sharpening with State Space Model

Reference 8

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Observation 2d99e148-80f8-4dc8-9ca4-24dc22df71dd · outbound

This paper cites Self-supervised uni- modal label generation strategy using recalibrated modality representations for multimodal sentiment analysis.

AlignMamba: Enhancing Multimodal Mamba with Local and Global Cross-modal Alignment Self-supervised uni- modal label generation strategy using recalibrated modality representations for multimodal sentiment analysis

Reference 9

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Observation c9045d50-770d-4570-8ffe-7f0704aac787 · outbound

This paper cites Aobert: All- modalities-in-one bert for multimodal sentiment analysis.In- formation Fusion, 92:37–45, 2023.

AlignMamba: Enhancing Multimodal Mamba with Local and Global Cross-modal Alignment Aobert: All- modalities-in-one bert for multimodal sentiment analysis.In- formation Fusion, 92:37–45, 2023

Reference 10

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Observation d44c8e9a-2aeb-4416-83ef-1c1e3df1addd · outbound

This paper cites Vilt: Vision- and-language transformer without convolution or region su- pervision.

AlignMamba: Enhancing Multimodal Mamba with Local and Global Cross-modal Alignment Vilt: Vision- and-language transformer without convolution or region su- pervision

Reference 11

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Observation 6429730b-b8c4-4a87-8290-3c3f02c4b660 · outbound

This paper cites From word embeddings to document distances.

AlignMamba: Enhancing Multimodal Mamba with Local and Global Cross-modal Alignment From word embeddings to document distances

Reference 12

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Observation 7e26e232-9947-4fc7-9fb8-e77efa733eb0 · outbound

This paper cites Cross-attentional audio-visual fusion for weakly- supervised action localization.

AlignMamba: Enhancing Multimodal Mamba with Local and Global Cross-modal Alignment Cross-attentional audio-visual fusion for weakly- supervised action localization

Reference 13

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Observation 087872ad-16a8-4613-844f-aad0ffed7bc2 · outbound

This paper cites Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models.

AlignMamba: Enhancing Multimodal Mamba with Local and Global Cross-modal Alignment Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models

Reference 14

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Observation 52ef0e74-b9fb-4d26-aa6c-795695eed6b7 · outbound

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

AlignMamba: Enhancing Multimodal Mamba with Local and Global Cross-modal Alignment VisualBERT: A Simple and Performant Baseline for Vision and Language

Reference 15

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Observation e8812559-4b0a-4fb1-9cee-ff858f0e144a · outbound

This paper cites Decoupled multi- modal distilling for emotion recognition.

AlignMamba: Enhancing Multimodal Mamba with Local and Global Cross-modal Alignment Decoupled multi- modal distilling for emotion recognition

Reference 16

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Observation fa001f0e-2dc7-4b99-8717-6faf7af4597e · outbound

This paper cites MambaDFuse: A Mamba-based Dual-phase Model for Multi-modality Image Fusion.

AlignMamba: Enhancing Multimodal Mamba with Local and Global Cross-modal Alignment MambaDFuse: A Mamba-based Dual-phase Model for Multi-modality Image Fusion

Reference 17

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Observation 16ec7d83-81e9-4383-956c-b4c2abb0717d · outbound

This paper cites Gcnet: Graph completion network for incomplete mul- timodal learning in conversation.

AlignMamba: Enhancing Multimodal Mamba with Local and Global Cross-modal Alignment Gcnet: Graph completion network for incomplete mul- timodal learning in conversation

Reference 18

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Observation a49bf077-7768-4198-b15b-6bb33459a8e3 · outbound

This paper cites MTMamba: Enhancing Multi-Task Dense Scene Understanding by Mamba-Based Decoders.

AlignMamba: Enhancing Multimodal Mamba with Local and Global Cross-modal Alignment MTMamba: Enhancing Multi-Task Dense Scene Understanding by Mamba-Based Decoders

Reference 19

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Observation 9c9ff477-4336-4ecf-b69c-b974801c8a28 · outbound

This paper cites Multi-task momentum distil- lation for multimodal sentiment analysis.

AlignMamba: Enhancing Multimodal Mamba with Local and Global Cross-modal Alignment Multi-task momentum distil- lation for multimodal sentiment analysis

Reference 20

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Observation 08f2b486-d192-408f-a0f9-063cb99f5746 · outbound

This paper cites Visual Instruction Tuning.

AlignMamba: Enhancing Multimodal Mamba with Local and Global Cross-modal Alignment Visual Instruction Tuning

Reference 21

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Observation 35223bdc-c217-413e-912a-726110aaba46 · outbound

This paper cites RoboMamba: Efficient Vision-Language-Action Model for Robotic Reasoning and Manipulation.

AlignMamba: Enhancing Multimodal Mamba with Local and Global Cross-modal Alignment RoboMamba: Efficient Vision-Language-Action Model for Robotic Reasoning and Manipulation

Reference 22

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Observation 31711571-15a8-46b5-8922-3baa7e5288d5 · outbound

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

AlignMamba: Enhancing Multimodal Mamba with Local and Global Cross-modal Alignment Vilbert: Pretraining task-agnostic visiolinguistic representations for vision-and-language tasks

Reference 23

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Observation 0ad9f7c3-af85-4f09-8fe1-3dd234f867a0 · outbound

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

AlignMamba: Enhancing Multimodal Mamba with Local and Global Cross-modal Alignment Hybrid contrastive learning of tri-modal representation for multimodal sentiment analysis

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:01:42.459584Z

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Observation b5112029-1712-4d11-995e-20ac6bc27311 · outbound

This paper cites Found in translation: Learn- ing robust joint representations by cyclic translations be- tween modalities.

AlignMamba: Enhancing Multimodal Mamba with Local and Global Cross-modal Alignment Found in translation: Learn- ing robust joint representations by cyclic translations be- tween modalities

Reference 25

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Observation 9fb8ad64-fb0e-49a7-85c7-c0776674eb82 · outbound

This paper cites VL-Mamba: Exploring State Space Models for Multimodal Learning.

AlignMamba: Enhancing Multimodal Mamba with Local and Global Cross-modal Alignment VL-Mamba: Exploring State Space Models for Multimodal Learning

Reference 26

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Observation 96709eca-2b8e-4263-a8df-34f7ffac5430 · outbound

This paper cites Integrating multimodal information in large pre- 9 trained transformers.

AlignMamba: Enhancing Multimodal Mamba with Local and Global Cross-modal Alignment Integrating multimodal information in large pre- 9 trained transformers

Reference 27

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Observation c277438e-c1b2-405b-9872-16de0d810d4c · outbound

This paper cites Learning relationships between text, audio, and video via deep canonical correlation for multimodal lan- guage analysis.

AlignMamba: Enhancing Multimodal Mamba with Local and Global Cross-modal Alignment Learning relationships between text, audio, and video via deep canonical correlation for multimodal lan- guage analysis

Reference 28

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Observation b2508153-d1a4-4198-84bf-9a1a1971b3b8 · outbound

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

AlignMamba: Enhancing Multimodal Mamba with Local and Global Cross-modal Alignment LXMERT: Learning Cross-Modality Encoder Representations from Transformers

Reference 29

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Observation adae3bc6-2d01-40cc-a6a7-7b07767c92a7 · outbound

This paper cites Multimodal transformer for unaligned multimodal language sequences.

AlignMamba: Enhancing Multimodal Mamba with Local and Global Cross-modal Alignment Multimodal transformer for unaligned multimodal language sequences

Reference 30

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This paper cites Attention is all you need.

AlignMamba: Enhancing Multimodal Mamba with Local and Global Cross-modal Alignment Attention is all you need

Reference 31

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This paper cites Topics in optimal transportation.

AlignMamba: Enhancing Multimodal Mamba with Local and Global Cross-modal Alignment Topics in optimal transportation

Reference 32

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Observation 87b52633-a1a8-4f2e-b86a-8f47fcbdb6ec · outbound

This paper cites On deep multi-view representation learning.

AlignMamba: Enhancing Multimodal Mamba with Local and Global Cross-modal Alignment On deep multi-view representation learning

Reference 33

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Observation ee1dd380-7251-4c9d-94fe-3e8bf9e43436 · outbound

This paper cites Incomplete multimodality-diffused emotion recognition.

AlignMamba: Enhancing Multimodal Mamba with Local and Global Cross-modal Alignment Incomplete multimodality-diffused emotion recognition

Reference 34

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Observation 16a98618-ecaa-4cec-9eeb-c60cba74d619 · outbound

This paper cites Disentangled representation learning for multimodal emotion recognition.

AlignMamba: Enhancing Multimodal Mamba with Local and Global Cross-modal Alignment Disentangled representation learning for multimodal emotion recognition

Reference 35

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Observation 8f6be728-4470-463d-9fea-a0376c25cc36 · outbound

This paper cites Confede: Contrastive feature decomposition for multimodal sentiment analysis.

AlignMamba: Enhancing Multimodal Mamba with Local and Global Cross-modal Alignment Confede: Contrastive feature decomposition for multimodal sentiment analysis

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:01:42.349173Z

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Observation 60cf3e8f-17bb-449a-9df8-019d61553883 · outbound

This paper cites Cm-bert: Cross- modal bert for text-audio sentiment analysis.

AlignMamba: Enhancing Multimodal Mamba with Local and Global Cross-modal Alignment Cm-bert: Cross- modal bert for text-audio sentiment analysis

Reference 37

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Observation 01ac51c7-95d3-4afa-ba50-1c42d09114b2 · outbound

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

AlignMamba: Enhancing Multimodal Mamba with Local and Global Cross-modal Alignment Learning modality-specific representations with self-supervised multi- task learning for multimodal sentiment analysis

Reference 38

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Observation 809d18a8-083f-4668-86e4-ecbe3c3fecb1 · outbound

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

AlignMamba: Enhancing Multimodal Mamba with Local and Global Cross-modal Alignment MOSI: Multimodal Corpus of Sentiment Intensity and Subjectivity Analysis in Online Opinion Videos

Reference 39

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This paper cites Multimodal lan- guage analysis in the wild: Cmu-mosei dataset and inter- pretable dynamic fusion graph.

AlignMamba: Enhancing Multimodal Mamba with Local and Global Cross-modal Alignment Multimodal lan- guage analysis in the wild: Cmu-mosei dataset and inter- pretable dynamic fusion graph

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:01:42.311854Z

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Observation c4a0ecc7-4fbb-489f-a92c-ac9a8c703875 · outbound

This paper cites Multimodal Chain-of-Thought Reasoning in Language Models.

AlignMamba: Enhancing Multimodal Mamba with Local and Global Cross-modal Alignment Multimodal Chain-of-Thought Reasoning in Language Models

Reference 41

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Observation 98119993-07de-4d9e-8ec8-c45659f2cd84 · outbound

This paper cites Cobra: Extending Mamba to Multi-Modal Large Language Model for Efficient Inference.

AlignMamba: Enhancing Multimodal Mamba with Local and Global Cross-modal Alignment Cobra: Extending Mamba to Multi-Modal Large Language Model for Efficient Inference

Reference 42

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Observation 544108e8-c41f-4bec-bdf0-9a73f9814453 · outbound

This paper cites Missing modal- ity imagination network for emotion recognition with un- certain missing modalities.

AlignMamba: Enhancing Multimodal Mamba with Local and Global Cross-modal Alignment Missing modal- ity imagination network for emotion recognition with un- certain missing modalities

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:01:42.300682Z

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Observation d0c59910-91d5-427e-91e9-3a462b137ae8 · outbound

This paper cites Multi-channel weight-sharing autoencoder based on cascade multi-head attention for multimodal emo- tion recognition.

AlignMamba: Enhancing Multimodal Mamba with Local and Global Cross-modal Alignment Multi-channel weight-sharing autoencoder based on cascade multi-head attention for multimodal emo- tion recognition

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:01:42.289235Z

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

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