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Paper Citation Record · LEDGER

Spiking Neural Networks with Temporal Attention-Guided Adaptive Fusion for imbalanced Multi-modal Learning

As of 10 August 2026, this Paper Citation Record lists 61 of 61 outbound references and 1 inbound Pith citation observation for arXiv:2505.14535.

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

pith.paper-citation-record.v1
2505.14535 v1

Coverage vector

measured 61 of 61 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:39:05.835122Z

measured 62 of 62 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:18:22.027569Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-07T14:18:23.433344Z

Reference resolution

61 of 61 outbound references displayed

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  • verified fuzzy39
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External citation measurements

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Outbound references

Observation 6cca393e-49c2-4c72-8c52-5f510c5489bf · outbound

This paper cites A multi-modal parcellation of human cerebral cortex.Nature, 536(7615):171–178, 2016.

Spiking Neural Networks with Temporal Attention-Guided Adaptive Fusion for imbalanced Multi-modal Learning A multi-modal parcellation of human cerebral cortex.Nature, 536(7615):171–178, 2016

Reference 1

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Observation 94f8858d-a7d5-47de-9b41-75fa31b3f234 · outbound

This paper cites Cortical tracking of hierarchical rhythms orchestrates the multisensory processing of biological motion.eLife, 13:RP98701, 2025.

Spiking Neural Networks with Temporal Attention-Guided Adaptive Fusion for imbalanced Multi-modal Learning Cortical tracking of hierarchical rhythms orchestrates the multisensory processing of biological motion.eLife, 13:RP98701, 2025

Reference 2

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Source-reported events for the cited work

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Observation c6991c56-7954-4b66-8b31-1d6f292a95c4 · outbound

This paper cites Cmci: A robust multimodal fusion method for spiking neural networks.

Spiking Neural Networks with Temporal Attention-Guided Adaptive Fusion for imbalanced Multi-modal Learning Cmci: A robust multimodal fusion method for spiking neural networks

Reference 3

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Observation 6c33a02e-e045-4da4-bfcc-6cbfbf6f585e · outbound

This paper cites Event-based multimodal spiking neural network with attention mechanism.

Spiking Neural Networks with Temporal Attention-Guided Adaptive Fusion for imbalanced Multi-modal Learning Event-based multimodal spiking neural network with attention mechanism

Reference 4

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Source-reported events for the cited work

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Observation c106f59f-62aa-4e69-9054-09045fa7edce · outbound

This paper cites Balanced multimodal learning via on-the-fly gradient modulation.

Spiking Neural Networks with Temporal Attention-Guided Adaptive Fusion for imbalanced Multi-modal Learning Balanced multimodal learning via on-the-fly gradient modulation

Reference 5

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Source-reported events for the cited work

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Observation 012a7367-8197-49b9-b91b-284578433caa · outbound

This paper cites mplug-owl2: Revolutionizing multi-modal large language model with modality collaboration.

Spiking Neural Networks with Temporal Attention-Guided Adaptive Fusion for imbalanced Multi-modal Learning mplug-owl2: Revolutionizing multi-modal large language model with modality collaboration

Reference 6

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Observation 34694c75-6b4a-4e6c-b941-d265ec707cd8 · outbound

This paper cites Networks of spiking neurons: The third generation of neural network models.Neural Networks, 10(9):1659–1671, 1997.

Spiking Neural Networks with Temporal Attention-Guided Adaptive Fusion for imbalanced Multi-modal Learning Networks of spiking neurons: The third generation of neural network models.Neural Networks, 10(9):1659–1671, 1997

Reference 7

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Source-reported events for the cited work

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Observation cd617b8a-07df-4d12-9dee-38c382c651a9 · outbound

This paper cites A biomimetic neural encoder for spiking neural network.Nature communications, 12(1):2143, 2021.

Spiking Neural Networks with Temporal Attention-Guided Adaptive Fusion for imbalanced Multi-modal Learning A biomimetic neural encoder for spiking neural network.Nature communications, 12(1):2143, 2021

Reference 8

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Source-reported events for the cited work

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Observation b5a4be66-7dc8-45ba-88fb-3fa0b64b158e · outbound

This paper cites Spikingjelly: An open-source machine learning infrastructure platform for spike-based intelligence.Science Advances, 9(40):eadi1480, 2023.

Spiking Neural Networks with Temporal Attention-Guided Adaptive Fusion for imbalanced Multi-modal Learning Spikingjelly: An open-source machine learning infrastructure platform for spike-based intelligence.Science Advances, 9(40):eadi1480, 2023

Reference 9

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Observation e6d5d710-8c77-40ed-9970-8cbe8a1b07e8 · outbound

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Spiking Neural Networks with Temporal Attention-Guided Adaptive Fusion for imbalanced Multi-modal Learning Unresolved cited work

Reference 10

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Source-reported events for the cited work

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Observation 29646e4e-c5e2-445f-9c7b-f19393c28c1d · outbound

This paper cites Efficient spiking neural networks with sparse selective activation for continual learning.

Spiking Neural Networks with Temporal Attention-Guided Adaptive Fusion for imbalanced Multi-modal Learning Efficient spiking neural networks with sparse selective activation for continual learning

Reference 11

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Observation e70a594f-f137-4750-92b4-cd2f0cce31d1 · outbound

This paper cites State transition of dendritic spines improves learning of sparse spiking neural networks.

Spiking Neural Networks with Temporal Attention-Guided Adaptive Fusion for imbalanced Multi-modal Learning State transition of dendritic spines improves learning of sparse spiking neural networks

Reference 12

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Source-reported events for the cited work

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Observation fbacb916-a0d7-4478-a43e-5ebc83d8c8fe · outbound

This paper cites Computational event-driven vision sensors for in-sensor spiking neural networks.Nature Electronics, 6(11):870–878, 2023.

Spiking Neural Networks with Temporal Attention-Guided Adaptive Fusion for imbalanced Multi-modal Learning Computational event-driven vision sensors for in-sensor spiking neural networks.Nature Electronics, 6(11):870–878, 2023

Reference 13

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Source-reported events for the cited work

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Observation cf865e23-bf50-4998-8411-41b4d00d3906 · outbound

This paper cites Towards energy efficient spiking neural networks: An unstructured pruning framework.

Spiking Neural Networks with Temporal Attention-Guided Adaptive Fusion for imbalanced Multi-modal Learning Towards energy efficient spiking neural networks: An unstructured pruning framework

Reference 14

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Source-reported events for the cited work

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Observation f5eb8c94-08ec-49f6-9755-b9b60ed8eda4 · outbound

This paper cites Reversing structural pattern learning with biologically inspired knowledge distillation for spiking neural networks.

Spiking Neural Networks with Temporal Attention-Guided Adaptive Fusion for imbalanced Multi-modal Learning Reversing structural pattern learning with biologically inspired knowledge distillation for spiking neural networks

Reference 15

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Source-reported events for the cited work

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Observation ca006102-3a01-4f5e-b27c-52b1993a839e · outbound

This paper cites Improving the Sparse Structure Learning of Spiking Neural Networks from the View of Compression Efficiency.

Spiking Neural Networks with Temporal Attention-Guided Adaptive Fusion for imbalanced Multi-modal Learning Improving the Sparse Structure Learning of Spiking Neural Networks from the View of Compression Efficiency

Reference 16

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Source-reported events for the cited work

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Observation b886919e-185c-4b08-9d7d-68fb2b38279d · outbound

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Spiking Neural Networks with Temporal Attention-Guided Adaptive Fusion for imbalanced Multi-modal Learning Unresolved cited work

Reference 17

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Observation da8fc047-4b49-41d2-ba36-11335a4aed67 · outbound

This paper cites Towards energy-efficient audio-visual classification via multimodal interactive spiking neural network.ACM Transactions on Multimedia Computing, Communications and Applications.

Spiking Neural Networks with Temporal Attention-Guided Adaptive Fusion for imbalanced Multi-modal Learning Towards energy-efficient audio-visual classification via multimodal interactive spiking neural network.ACM Transactions on Multimedia Computing, Communications and Applications

Reference 18

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Source-reported events for the cited work

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Observation f614292d-e974-4906-afce-0afd66dd0cba · outbound

This paper cites Digit Recognition using Multimodal Spiking Neural Networks.

Spiking Neural Networks with Temporal Attention-Guided Adaptive Fusion for imbalanced Multi-modal Learning Digit Recognition using Multimodal Spiking Neural Networks

Reference 19

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T15:38:59.684427Z digest=sha256:40c9c4387a9da4283ca5b8e7d86b1ba5a18487a4735fcbd3761cd8a2d4d0177f

Observation 97a0f210-1612-4958-8a8e-11a753bd26a2 · outbound

This paper cites Transformer- based spiking neural networks for multimodal audiovisual classification.IEEE Transactions on Cognitive and Developmental Systems, 16(3):1077–1086, 2023.

Spiking Neural Networks with Temporal Attention-Guided Adaptive Fusion for imbalanced Multi-modal Learning Transformer- based spiking neural networks for multimodal audiovisual classification.IEEE Transactions on Cognitive and Developmental Systems, 16(3):1077–1086, 2023

Reference 20

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T15:38:59.838599Z digest=sha256:6de37dc40ead0933193e06e98f4a292341f2b19d7b1d1a540d8b65fe314c430a

Observation 8bbd9ebf-2ad6-4aa8-97d0-370621119467 · outbound

This paper cites Fusionsense: Emotion classification using feature fusion of multimodal data and deep learning in a brain-inspired spiking neural network.Sensors, 20(18):5328, 2020.

Spiking Neural Networks with Temporal Attention-Guided Adaptive Fusion for imbalanced Multi-modal Learning Fusionsense: Emotion classification using feature fusion of multimodal data and deep learning in a brain-inspired spiking neural network.Sensors, 20(18):5328, 2020

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation b58f1e37-3b0d-4a82-a3c7-da3ab5fd4c0c · outbound

This paper cites Enhancing robustness against adversarial attacks in multimodal emotion recognition with spiking transformers.IEEE Access, 2025.

Spiking Neural Networks with Temporal Attention-Guided Adaptive Fusion for imbalanced Multi-modal Learning Enhancing robustness against adversarial attacks in multimodal emotion recognition with spiking transformers.IEEE Access, 2025

Reference 22

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Source-reported events for the cited work

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Observation 7d80c480-cb53-4e0a-95ee-0cf17a4a88f9 · outbound

This paper cites Smile: Spiking multi-modal interactive label- guided enhancement network for emotion recognition.

Spiking Neural Networks with Temporal Attention-Guided Adaptive Fusion for imbalanced Multi-modal Learning Smile: Spiking multi-modal interactive label- guided enhancement network for emotion recognition

Reference 23

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Source-reported events for the cited work

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Observation 72146196-c7ff-4f59-b6a9-731a394107b3 · outbound

This paper cites Brain-like evolving spiking neural networks for multimodal information processing.

Spiking Neural Networks with Temporal Attention-Guided Adaptive Fusion for imbalanced Multi-modal Learning Brain-like evolving spiking neural networks for multimodal information processing

Reference 24

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Source-reported events for the cited work

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Observation eb58a707-27bc-47ca-b100-e223372b4b00 · outbound

This paper cites Enhancing snn-based spatio-temporal learning: A benchmark dataset and cross-modality attention model.Neural Networks, 180:106677, 2024.

Spiking Neural Networks with Temporal Attention-Guided Adaptive Fusion for imbalanced Multi-modal Learning Enhancing snn-based spatio-temporal learning: A benchmark dataset and cross-modality attention model.Neural Networks, 180:106677, 2024

Reference 25

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Source-reported events for the cited work

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Observation aeec6c48-8a63-4b71-95d2-fb7a9ab87698 · outbound

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Spiking Neural Networks with Temporal Attention-Guided Adaptive Fusion for imbalanced Multi-modal Learning Unresolved cited work

Reference 26

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Source-reported events for the cited work

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Observation c7e27997-c7fd-4923-a0c1-fbcccdc14afe · outbound

This paper cites Mk-sgn: A spiking graph convolutional net- work with multimodal fusion and knowledge distillation for skeleton-based action recognition.arXiv preprint arXiv:2404.10210, 2024.

Spiking Neural Networks with Temporal Attention-Guided Adaptive Fusion for imbalanced Multi-modal Learning Mk-sgn: A spiking graph convolutional net- work with multimodal fusion and knowledge distillation for skeleton-based action recognition.arXiv preprint arXiv:2404.10210, 2024

Reference 27

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 6b096468-1249-40b9-9985-4aab6fccea35 · outbound

This paper cites Snn-driven multimodal human action recognition via event camera and skeleton data fusion.arXiv preprint arXiv:2502.13385, 2025.

Spiking Neural Networks with Temporal Attention-Guided Adaptive Fusion for imbalanced Multi-modal Learning Snn-driven multimodal human action recognition via event camera and skeleton data fusion.arXiv preprint arXiv:2502.13385, 2025

Reference 28

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation dbfb7ef9-8b24-4dd8-a10d-1fa9c4c79c2e · outbound

This paper cites Event-enhanced multi- modal spiking neural network for dynamic obstacle avoidance.

Spiking Neural Networks with Temporal Attention-Guided Adaptive Fusion for imbalanced Multi-modal Learning Event-enhanced multi- modal spiking neural network for dynamic obstacle avoidance

Reference 29

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Source-reported events for the cited work

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Observation 47cb502e-6d2c-4165-9f1c-9f1030d924ac · outbound

This paper cites A heterogeneously integrated spiking neuron array for multimode-fused perception and object classification.Advanced Materials, 34(24):2200481, 2022.

Spiking Neural Networks with Temporal Attention-Guided Adaptive Fusion for imbalanced Multi-modal Learning A heterogeneously integrated spiking neuron array for multimode-fused perception and object classification.Advanced Materials, 34(24):2200481, 2022

Reference 30

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Source-reported events for the cited work

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Observation 0aa10679-49b6-4132-bef7-ce0ca78e2c84 · outbound

This paper cites SSTFormer: Bridging Spiking Neural Network and Memory Support Transformer for Frame-Event based Recognition.

Spiking Neural Networks with Temporal Attention-Guided Adaptive Fusion for imbalanced Multi-modal Learning SSTFormer: Bridging Spiking Neural Network and Memory Support Transformer for Frame-Event based Recognition

Reference 31

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Source-reported events for the cited work

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Observation 6f708555-8147-4382-b1a6-d251e0e2dab9 · outbound

This paper cites Reliable object tracking by multimodal hybrid feature extraction and transformer-based fusion.Neural Networks, 178:106493, 2024.

Spiking Neural Networks with Temporal Attention-Guided Adaptive Fusion for imbalanced Multi-modal Learning Reliable object tracking by multimodal hybrid feature extraction and transformer-based fusion.Neural Networks, 178:106493, 2024

Reference 32

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T15:39:01.428298Z digest=sha256:9951045bd5b68dc1f37f5aba2a5c55ac80ff66dc310ef3a28feceedd348cd352

Observation 71f8b82e-5b79-4609-b255-0c25d53c07e2 · outbound

This paper cites Snn-ann hybrid networks for embedded multimodal monocular depth estimation.

Spiking Neural Networks with Temporal Attention-Guided Adaptive Fusion for imbalanced Multi-modal Learning Snn-ann hybrid networks for embedded multimodal monocular depth estimation

Reference 33

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raw_fallback, observed 2026-08-07T15:39:13.276685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T15:39:01.589866Z digest=sha256:9fd3b693e7b838d6ae417106ea9d68bbc63d0a42ae186bc1174c14bda890964f

Observation 07c07683-6c6d-4f98-8a9a-30da3274564b · outbound

This paper cites A hybrid lstm-snn approach for robust multimodal zero-shot learning.International Journal of Complexity in Applied Science and Technology, 1(2):195–209, 2024.

Spiking Neural Networks with Temporal Attention-Guided Adaptive Fusion for imbalanced Multi-modal Learning A hybrid lstm-snn approach for robust multimodal zero-shot learning.International Journal of Complexity in Applied Science and Technology, 1(2):195–209, 2024

Reference 34

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raw_fallback, observed 2026-08-07T15:39:13.019207Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T15:39:01.706336Z digest=sha256:c4b62ba71f5adb03ae0846177836d4535dcef5f6e8c7b431aa81f9fa8b6b8bdd

Observation 445aa3d4-4a53-4cda-a512-e26f43c690c7 · outbound

This paper cites What makes multi-modal learning better than single (provably).Advances in Neural Information Processing Systems, 34:10944–10956, 2021.

Spiking Neural Networks with Temporal Attention-Guided Adaptive Fusion for imbalanced Multi-modal Learning What makes multi-modal learning better than single (provably).Advances in Neural Information Processing Systems, 34:10944–10956, 2021

Reference 35

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raw_fallback, observed 2026-08-07T15:39:12.755897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T15:39:01.861215Z digest=sha256:ca97392ee5f3ab63f615fc8ddc3a4c0169830235ac5a18666ee9cfffd1de0f98

Observation 1d285d51-56f3-4723-ba6f-e4e6041fa8a0 · outbound

This paper cites Explainable multi-task learning for multi-modality biological data analysis.

Spiking Neural Networks with Temporal Attention-Guided Adaptive Fusion for imbalanced Multi-modal Learning Explainable multi-task learning for multi-modality biological data analysis

Reference 36

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raw_fallback, observed 2026-08-07T15:39:12.598624Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T15:39:02.032534Z digest=sha256:f1bbcd513d20b8925847ad3b7c073245e056f55d36fc9861a4396f84991e0f17

Observation 2056dde5-77ae-4fb4-a904-5f0a16197678 · outbound

This paper cites Learning cross-modality representations from multi-modal images.IEEE transactions on medical imaging, 38(2):638–648, 2018.

Spiking Neural Networks with Temporal Attention-Guided Adaptive Fusion for imbalanced Multi-modal Learning Learning cross-modality representations from multi-modal images.IEEE transactions on medical imaging, 38(2):638–648, 2018

Reference 37

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raw_fallback, observed 2026-08-07T15:39:12.439723Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T15:39:02.167687Z digest=sha256:ab9ce26e42508659b5de2f34e8e5015ed4d4d3057b11c1c96083e99d53a225e7

Observation 16c8030b-0440-430e-93e2-9bea3a6fef13 · outbound

This paper cites Mvbench: A comprehensive multi-modal video understanding benchmark.

Spiking Neural Networks with Temporal Attention-Guided Adaptive Fusion for imbalanced Multi-modal Learning Mvbench: A comprehensive multi-modal video understanding benchmark

Reference 38

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no resolver link, observed 2026-08-07T15:39:02.277670Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:39:02.277670Z digest=sha256:092b1c1d59ce8aa4f46028c069fe6d2f05d2c5a3f66b22cb747b8b844df86247

Observation a773d42d-1b71-4859-97b5-3a704b030f2d · outbound

This paper cites Time-mmd: Multi-domain multimodal dataset for time series analysis.Advances in Neural Information Processing Systems, 37:77888–77933, 2024.

Spiking Neural Networks with Temporal Attention-Guided Adaptive Fusion for imbalanced Multi-modal Learning Time-mmd: Multi-domain multimodal dataset for time series analysis.Advances in Neural Information Processing Systems, 37:77888–77933, 2024

Reference 39

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:39:02.372873Z digest=sha256:ba6d7ac3411f6284f68caa009243069b07683d7f6de715e6c6f0a8810063648f

Observation 934d80bd-de5d-4b7d-9578-ae8d63f1ba66 · outbound

This paper cites Ridge estimation-based vision and laser ranging fusion localization method for uavs.Applied Optics, 64(6):1352–1361, 2025.

Spiking Neural Networks with Temporal Attention-Guided Adaptive Fusion for imbalanced Multi-modal Learning Ridge estimation-based vision and laser ranging fusion localization method for uavs.Applied Optics, 64(6):1352–1361, 2025

Reference 40

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raw_fallback, observed 2026-08-07T15:39:10.704333Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T15:39:02.436000Z digest=sha256:9552dc5e81412b19bcddb81ba4910f68e062495867d6fc9e89c4bb6e84d5f70a

Observation ee6c66cc-7e73-4091-b07b-c788d3319975 · outbound

This paper cites 3D Trajectory Reconstruction of Moving Points Based on a Monocular Camera.

Spiking Neural Networks with Temporal Attention-Guided Adaptive Fusion for imbalanced Multi-modal Learning 3D Trajectory Reconstruction of Moving Points Based on a Monocular Camera

Reference 41

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verified exact
local_arxiv, observed 2026-08-07T15:39:06.668330Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T15:39:02.549491Z digest=sha256:126e088f3fc01b489c23eea30f53658b23cf4f6ff13ff4d262a960815bbc05a4

Observation 3ad83927-e3d9-441d-8870-4b301f35297d · outbound

This paper cites Full-DoF Egomotion Estimation for Event Cameras Using Geometric Solvers.

Spiking Neural Networks with Temporal Attention-Guided Adaptive Fusion for imbalanced Multi-modal Learning Full-DoF Egomotion Estimation for Event Cameras Using Geometric Solvers

Reference 42

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verified exact
local_arxiv, observed 2026-08-07T15:39:06.539099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T15:39:02.679474Z digest=sha256:47c80411f94a3796716c52567b2ba3a7415d96e7c0f5345d503688cf7a4cf161

Observation cf7f0cac-e188-4fda-bade-9f43a6f8b29a · outbound

This paper cites Accurate Pose Estimation for Flight Platforms based on Divergent Multi-Aperture Imaging System.

Spiking Neural Networks with Temporal Attention-Guided Adaptive Fusion for imbalanced Multi-modal Learning Accurate Pose Estimation for Flight Platforms based on Divergent Multi-Aperture Imaging System

Reference 43

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verified exact
local_arxiv, observed 2026-08-07T15:39:06.342607Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T15:39:02.812250Z digest=sha256:f0bb0e47f2274b2d3b62eeb2bbfe060d2d898092c46da11f4c3b37c014e969c1

Observation bbce5a40-fa71-4a01-aebf-64e8fec7bb78 · outbound

This paper cites High-precision visual navigation device calibration method based on collimator.

Spiking Neural Networks with Temporal Attention-Guided Adaptive Fusion for imbalanced Multi-modal Learning High-precision visual navigation device calibration method based on collimator

Reference 44

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verified exact
local_arxiv, observed 2026-08-07T15:39:06.173033Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T15:39:02.915565Z digest=sha256:981dd772422d717a2d904b0a87ed3d8ef5252505e262bb5a6f2cef534c78c621

Observation 24f996d2-2097-4e57-9b7b-17d8b5c36dfe · outbound

This paper cites A new 2-correspondences monocular vision navigation method under planar motion.

Spiking Neural Networks with Temporal Attention-Guided Adaptive Fusion for imbalanced Multi-modal Learning A new 2-correspondences monocular vision navigation method under planar motion

Reference 45

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verified fuzzy
raw_fallback, observed 2026-08-07T15:39:10.567165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T15:39:03.044432Z digest=sha256:91fbb2fa952da654402e371e01466fd1b1f07097c43fa94210b2d34ba9f75271

Observation 7dbe7ca2-2acb-41c7-8efb-a2d1ff1afa30 · outbound

This paper cites What makes training multi-modal classification networks hard? In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, pages 12695–12705, 2020.

Spiking Neural Networks with Temporal Attention-Guided Adaptive Fusion for imbalanced Multi-modal Learning What makes training multi-modal classification networks hard? In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, pages 12695–12705, 2020

Reference 46

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raw_fallback, observed 2026-08-07T15:39:10.441558Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T15:39:03.218379Z digest=sha256:8b8d652d62e4df75f991e380c55bdcfef7d968a9a8ad48446113e4a60f0be3ca

Observation 40b98188-2a9e-4c2a-9fbe-61739debf114 · outbound

This paper cites Learning to balance the learning rates between various modalities via adaptive tracking factor.IEEE Signal Processing Letters, 28:1650–1654, 2021.

Spiking Neural Networks with Temporal Attention-Guided Adaptive Fusion for imbalanced Multi-modal Learning Learning to balance the learning rates between various modalities via adaptive tracking factor.IEEE Signal Processing Letters, 28:1650–1654, 2021

Reference 47

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raw_fallback, observed 2026-08-07T15:39:10.300817Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T15:39:03.332355Z digest=sha256:daca66e03cd6dec672c4d7faaf24ab7fae6b98c3b9ce6ddd9c67a9e476aa1b09

Observation 09db8126-179b-473c-83ca-88c248a017ad · outbound

This paper cites Characterizing and overcoming the greedy nature of learning in multi-modal deep neural networks.

Spiking Neural Networks with Temporal Attention-Guided Adaptive Fusion for imbalanced Multi-modal Learning Characterizing and overcoming the greedy nature of learning in multi-modal deep neural networks

Reference 48

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T15:39:03.422917Z digest=sha256:012f91d6954b27670fca0cbcdee064c70780736dabd07d65d6ae268ea92984f9

Observation 6a9f573c-38f7-4f5f-ad4c-680011399b76 · outbound

This paper cites Enhancing Audio-Visual Spiking Neural Networks through Semantic-Alignment and Cross-Modal Residual Learning.

Spiking Neural Networks with Temporal Attention-Guided Adaptive Fusion for imbalanced Multi-modal Learning Enhancing Audio-Visual Spiking Neural Networks through Semantic-Alignment and Cross-Modal Residual Learning

Reference 49

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local_arxiv, observed 2026-08-07T15:39:06.042745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T15:39:03.564137Z digest=sha256:3b811702536eba1b23b32660f28a3574e68caf46c3ae14558da0dae7b57fa463

Observation 9dab6b25-dba1-49bf-9f18-d44adb9f6c5f · outbound

This paper cites The balanced multi-modal spiking neural networks with online loss adjustment and time alignment.

Spiking Neural Networks with Temporal Attention-Guided Adaptive Fusion for imbalanced Multi-modal Learning The balanced multi-modal spiking neural networks with online loss adjustment and time alignment

Reference 50

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raw_fallback, observed 2026-08-07T15:39:10.119505Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T15:39:03.751657Z digest=sha256:9cefa8b7e18a28ef5283b01a4ab3085c082906647ed38e9ed6ddf1973794fa60

Observation f13b922a-1c4e-46e2-a09f-9561726be39b · outbound

This paper cites Temporal efficient training of spiking neural network via gradient re-weighting.

Spiking Neural Networks with Temporal Attention-Guided Adaptive Fusion for imbalanced Multi-modal Learning Temporal efficient training of spiking neural network via gradient re-weighting

Reference 51

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raw_fallback, observed 2026-08-07T15:39:09.957832Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T15:39:03.941687Z digest=sha256:73a09e17537b88c9536c7acb6bd96da8596615c32d296c6475680f739b17c116

Observation 50b35bfa-183a-4961-aec9-10f40ca30b15 · outbound

This paper cites Esl-snns: An evolutionary structure learning strategy for spiking neural networks.

Spiking Neural Networks with Temporal Attention-Guided Adaptive Fusion for imbalanced Multi-modal Learning Esl-snns: An evolutionary structure learning strategy for spiking neural networks

Reference 52

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raw_fallback, observed 2026-08-07T15:39:09.726352Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T15:39:04.109524Z digest=sha256:87ae4df5319cdb4fffd2c3f73cd15ed00fb3f230279f77462bee37053bd14334

Observation 77ed54ee-019d-4cbd-a899-44c18e9ac2bb · outbound

This paper cites Differential Coding for Training-Free ANN-to-SNN Conversion.

Spiking Neural Networks with Temporal Attention-Guided Adaptive Fusion for imbalanced Multi-modal Learning Differential Coding for Training-Free ANN-to-SNN Conversion

Reference 53

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no resolver link, observed 2026-08-07T15:39:04.270302Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:39:04.270302Z digest=sha256:8db68a989d3d0b4b5beb939690e771ce43eb0f8abaeec4ec1974dec498b7a9d8

Observation f9a75193-40db-4b7a-ac51-30e29a748b05 · outbound

This paper cites Pmr: Prototypical modal rebalance for multimodal learning.

Spiking Neural Networks with Temporal Attention-Guided Adaptive Fusion for imbalanced Multi-modal Learning Pmr: Prototypical modal rebalance for multimodal learning

Reference 54

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no resolver link, observed 2026-08-07T15:39:04.373023Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:39:04.373023Z digest=sha256:d65612b270e4766250d1a1296b8ce4cf8cea3b25464f9b98602b28a11bb42345

Observation 8bf21280-4b3c-4166-bdfb-87cc669efd4f · outbound

This paper cites Boosting multi-modal model performance with adaptive gradient modulation.

Spiking Neural Networks with Temporal Attention-Guided Adaptive Fusion for imbalanced Multi-modal Learning Boosting multi-modal model performance with adaptive gradient modulation

Reference 55

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raw_fallback, observed 2026-08-07T15:39:09.535812Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T15:39:04.476700Z digest=sha256:5362230985b4ee66dacb348effc47cc14542ffc62e6f9c1d0437ed34a5a71b0d

Observation b35c38a3-e029-477b-ae41-c2a532cf3c84 · outbound

This paper cites Crema-d: Crowd-sourced emotional multimodal actors dataset.IEEE transactions on affective computing, 5(4):377–390, 2014.

Spiking Neural Networks with Temporal Attention-Guided Adaptive Fusion for imbalanced Multi-modal Learning Crema-d: Crowd-sourced emotional multimodal actors dataset.IEEE transactions on affective computing, 5(4):377–390, 2014

Reference 56

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no resolver link, observed 2026-08-07T15:39:04.554847Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:39:04.554847Z digest=sha256:5c7652fb60b6b1eb016dede23e31c2f48a1b9a7085da4807118b848705bbffe6

Observation be1102a0-f1a3-416a-9b0e-93599168ee23 · outbound

This paper cites Audio-visual event localization in un- constrained videos.

Spiking Neural Networks with Temporal Attention-Guided Adaptive Fusion for imbalanced Multi-modal Learning Audio-visual event localization in un- constrained videos

Reference 57

Resolution
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raw_fallback, observed 2026-08-07T15:39:09.348391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T15:39:04.707547Z digest=sha256:90d9cce553c87d0c56a710865bde62921189a364a6d59b5e7ca9b1812f3d8eea

Observation bd9b6729-b8f3-4136-a994-125693d4db5f · outbound

This paper cites Line-based 6-dof object pose estimation and tracking with an event camera.IEEE Transactions on Image Processing, 2024.

Spiking Neural Networks with Temporal Attention-Guided Adaptive Fusion for imbalanced Multi-modal Learning Line-based 6-dof object pose estimation and tracking with an event camera.IEEE Transactions on Image Processing, 2024

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:39:09.181898Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T15:39:04.951854Z digest=sha256:a6055f9a73f09f269ced4acc07b4edaa71e166e7c9d40ffcafabae77841f5aa9

Observation 6d0d6bf9-c26b-47fc-b112-245a89264ff6 · outbound

This paper cites Optical flow-guided 6dof object pose tracking with an event camera.

Spiking Neural Networks with Temporal Attention-Guided Adaptive Fusion for imbalanced Multi-modal Learning Optical flow-guided 6dof object pose tracking with an event camera

Reference 59

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verified fuzzy
raw_fallback, observed 2026-08-07T15:39:09.001308Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T15:39:05.350860Z digest=sha256:0b5a0aee7e10d73d3207db67892007d00f33780100d24f8aac116e5a4317f93b

Observation 59da4144-58c1-4732-a032-a03d2a3348f5 · outbound

This paper cites Stereo event-based, 6-dof pose tracking for uncooperative spacecraft.IEEE Transactions on Geoscience and Remote Sensing, 2025.

Spiking Neural Networks with Temporal Attention-Guided Adaptive Fusion for imbalanced Multi-modal Learning Stereo event-based, 6-dof pose tracking for uncooperative spacecraft.IEEE Transactions on Geoscience and Remote Sensing, 2025

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:39:08.819894Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T15:39:05.709446Z digest=sha256:e1462f6fa8d0caf2ec55e48398fa699ebd405626c2f4c5f8e11ca2f408696ca9

Observation bd54bad7-d29d-4b3a-9955-243fdf84fc71 · outbound

This paper cites Lecalib: Line-based event camera calibration.Measurement, 235:114900, 2024.

Spiking Neural Networks with Temporal Attention-Guided Adaptive Fusion for imbalanced Multi-modal Learning Lecalib: Line-based event camera calibration.Measurement, 235:114900, 2024

Reference 61

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raw_fallback, observed 2026-08-07T15:39:08.664163Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T15:39:05.835122Z digest=sha256:0fc5a6e89ccd42329cdf0b8d9b5e74bc83fb7497168be977b45390b9028124a1

Pith citing papers

Observation 6265d7c8-148d-4350-ba21-b995374ff284 · inbound

SETransformer: A Hybrid Attention-Based Architecture for Robust Human Activity Recognition cites this paper.

SETransformer: A Hybrid Attention-Based Architecture for Robust Human Activity Recognition Spiking Neural Networks with Temporal Attention-Guided Adaptive Fusion for imbalanced Multi-modal Learning

Reference 22

Resolution
verified exact
local_arxiv, observed 2026-08-07T14:18:23.514682Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T14:18:22.027569Z digest=sha256:ce325096e052f8ef7c2d91241a9b550f30fb8e09f4d272c810e8f03a00f56bf8