Paper Citation Record · LEDGER

COBRA: A Continual Learning Approach to Vision-Brain Understanding

As of 13 August 2026, this Paper Citation Record lists 90 of 90 outbound references and 2 inbound Pith citation observations for arXiv:2411.17475.

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

pith.paper-citation-record.v1
2411.17475 v3

Coverage vector

measured 90 of 90 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T12:53:49.171087Z

measured 92 of 92 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T16:36:42.519603Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T21:16:51.255610Z

Reference resolution

90 of 90 outbound references displayed

verified exact0
verified fuzzy26
unresolved62
parse uncertain0
malformed identifier0
metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1bf0295d-84e5-4694-810d-2c362d936338 · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp.

COBRA: A Continual Learning Approach to Vision-Brain Understanding In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-12T12:53:46.604380Z

Source-reported events for the cited work

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Observation 6b3b9a59-c405-4a30-aa8c-0fd668e6120c · outbound

This paper cites In: 2022 International Joint Conference on Neural Networks (IJCNN), pp.

COBRA: A Continual Learning Approach to Vision-Brain Understanding In: 2022 International Joint Conference on Neural Networks (IJCNN), pp

Reference 2

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Observation 26761c36-0344-412f-86bf-bce3b7022728 · outbound

This paper cites PLoS computational biology 15(1), 1006633 (2019) 28.

COBRA: A Continual Learning Approach to Vision-Brain Understanding PLoS computational biology 15(1), 1006633 (2019) 28

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-12T12:53:46.616261Z

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Observation 54f64965-e8ce-4f7f-b0af-80bd8492fd7d · outbound

This paper cites Advances in Neural Information Processing Systems 36 (2024).

COBRA: A Continual Learning Approach to Vision-Brain Understanding Advances in Neural Information Processing Systems 36 (2024)

Reference 5

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Source-reported events for the cited work

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Observation b37eddcc-985c-4866-865b-d87e01ca86de · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp.

COBRA: A Continual Learning Approach to Vision-Brain Understanding In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp

Reference 6

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Observation b9f3c7a5-909e-4b7f-a11e-44b52416a355 · outbound

This paper cites NeuroPictor: Refining fMRI-to-Image Reconstruction via Multi-individual Pretraining and Multi-level Modulation.

COBRA: A Continual Learning Approach to Vision-Brain Understanding NeuroPictor: Refining fMRI-to-Image Reconstruction via Multi-individual Pretraining and Multi-level Modulation

Reference 7

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Source-reported events for the cited work

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Observation 31a03874-0bba-499c-8290-e97c51f12e77 · outbound

This paper cites MindEye2: Shared-Subject Models Enable fMRI-To-Image With 1 Hour of Data.

COBRA: A Continual Learning Approach to Vision-Brain Understanding MindEye2: Shared-Subject Models Enable fMRI-To-Image With 1 Hour of Data

Reference 8

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Source-reported events for the cited work

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Observation d3995b1c-edba-4959-8357-024bc3df55a7 · outbound

This paper cites In: Learning to Learn, pp.

COBRA: A Continual Learning Approach to Vision-Brain Understanding In: Learning to Learn, pp

Reference 9

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Source-reported events for the cited work

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Observation ce874890-199e-40ea-982f-adc4ad50c951 · outbound

This paper cites Trends in cognitive sciences 3(4), 128–135 (1999).

COBRA: A Continual Learning Approach to Vision-Brain Understanding Trends in cognitive sciences 3(4), 128–135 (1999)

Reference 10

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Source-reported events for the cited work

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Observation f73947aa-b8bc-48a3-8eaa-1158bb621ccf · outbound

This paper cites Connection Science 7(2), 123–146 (1995).

COBRA: A Continual Learning Approach to Vision-Brain Understanding Connection Science 7(2), 123–146 (1995)

Reference 11

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Source-reported events for the cited work

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Observation 7b5e3713-cd4b-4b65-8e39-74a10dad84ef · outbound

This paper cites Science 293(5539), 2470–2473 (2001).

COBRA: A Continual Learning Approach to Vision-Brain Understanding Science 293(5539), 2470–2473 (2001)

Reference 12

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Source-reported events for the cited work

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Observation dee7cbcf-b61e-4523-bb61-1be51ce8dc3c · outbound

This paper cites Neuropsychologia 49(5), 821–829 (2011).

COBRA: A Continual Learning Approach to Vision-Brain Understanding Neuropsychologia 49(5), 821–829 (2011)

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:53:50.456683Z

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Observation f11802e6-7d90-4ddf-9dc5-055375748aa5 · outbound

This paper cites Nature 392(6676), 598–601 (1998).

COBRA: A Continual Learning Approach to Vision-Brain Understanding Nature 392(6676), 598–601 (1998)

Reference 14

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Observation aa989b39-11aa-48a4-9501-9383292bcb76 · outbound

This paper cites Cerebral cortex 27(1), 146–161 (2017) 29.

COBRA: A Continual Learning Approach to Vision-Brain Understanding Cerebral cortex 27(1), 146–161 (2017) 29

Reference 15

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Observation 703d5f81-654f-4cdf-90e7-48a1f5509b94 · outbound

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COBRA: A Continual Learning Approach to Vision-Brain Understanding Unresolved cited work

Reference 16

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Observation 20eb1d3c-67c5-4974-b086-acb0d87fe302 · outbound

This paper cites Annual review of vision science 5(1), 373–397 (2019).

COBRA: A Continual Learning Approach to Vision-Brain Understanding Annual review of vision science 5(1), 373–397 (2019)

Reference 17

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Observation 6ebc5826-d0b4-419e-8ec2-9f106f265e1e · outbound

This paper cites Annual review of vision science 1(1), 393–416 (2015).

COBRA: A Continual Learning Approach to Vision-Brain Understanding Annual review of vision science 1(1), 393–416 (2015)

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:53:50.397019Z

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Observation 90657e07-72b4-4951-9d93-7cbada7d3270 · outbound

This paper cites Proceedings of the National Academy of Sciences 93(2), 922–927 (1996).

COBRA: A Continual Learning Approach to Vision-Brain Understanding Proceedings of the National Academy of Sciences 93(2), 922–927 (1996)

Reference 19

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Observation b366f400-ca5a-4c14-a0b3-27c316bbd571 · outbound

This paper cites Human Brain Mapping 3(2), 68–82 (1995).

COBRA: A Continual Learning Approach to Vision-Brain Understanding Human Brain Mapping 3(2), 68–82 (1995)

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:53:50.372541Z

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Observation 2e1c546f-dbd7-4130-8d51-7de625a3fea9 · outbound

This paper cites Annual review of vision science 3(1), 167–196 (2017).

COBRA: A Continual Learning Approach to Vision-Brain Understanding Annual review of vision science 3(1), 167–196 (2017)

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:53:50.361380Z

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Observation 9b5092c6-4410-4742-a3f4-b06937b70b8c · outbound

This paper cites Quantum-Brain: Quantum-Inspired Neural Network Approach to Vision-Brain Understanding.

COBRA: A Continual Learning Approach to Vision-Brain Understanding Quantum-Brain: Quantum-Inspired Neural Network Approach to Vision-Brain Understanding

Reference 22

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COBRA: A Continual Learning Approach to Vision-Brain Understanding Quantum Machine Intelligence 6(2), 61 (2024)

Reference 23

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Observation 29d83077-9b35-4b00-86d5-6bae4533cf8c · outbound

This paper cites International Journal of Computer Vision, 1–26 (2025).

COBRA: A Continual Learning Approach to Vision-Brain Understanding International Journal of Computer Vision, 1–26 (2025)

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:53:50.339438Z

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Observation 0c1201c5-5dcd-49e1-a30e-3364b6dc83cd · outbound

This paper cites ACM Computing Surveys 55(9), 1–35 (2023).

COBRA: A Continual Learning Approach to Vision-Brain Understanding ACM Computing Surveys 55(9), 1–35 (2023)

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:53:50.328669Z

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Observation 56562a3d-e68a-4f9f-a7e0-72150ce56ca7 · outbound

This paper cites UMBRAE: Unified Multimodal Brain Decoding.

COBRA: A Continual Learning Approach to Vision-Brain Understanding UMBRAE: Unified Multimodal Brain Decoding

Reference 26

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Observation 74b6f26f-2d80-4bd6-a4cb-60e52886f7f8 · outbound

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COBRA: A Continual Learning Approach to Vision-Brain Understanding Deep Unsupervised Learning using Nonequilibrium Thermodynamics

Reference 27

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COBRA: A Continual Learning Approach to Vision-Brain Understanding Denoising Diffusion Probabilistic Models

Reference 28

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Observation 13564a3c-86d1-4c49-b0d9-15fbf4ca00f6 · outbound

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COBRA: A Continual Learning Approach to Vision-Brain Understanding Diffusion Models Beat GANs on Image Synthesis

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COBRA: A Continual Learning Approach to Vision-Brain Understanding High-Resolution Image Synthesis with Latent Diffusion Models

Reference 30

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COBRA: A Continual Learning Approach to Vision-Brain Understanding https://arxiv.org/abs/2211

Reference 31

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COBRA: A Continual Learning Approach to Vision-Brain Understanding Learning to Prompt for Continual Learning

Reference 32

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COBRA: A Continual Learning Approach to Vision-Brain Understanding Memory Efficient Experience Replay for Streaming Learning

Reference 33

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COBRA: A Continual Learning Approach to Vision-Brain Understanding On Tiny Episodic Memories in Continual Learning

Reference 34

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COBRA: A Continual Learning Approach to Vision-Brain Understanding Using Hindsight to Anchor Past Knowledge in Continual Learning

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COBRA: A Continual Learning Approach to Vision-Brain Understanding Efficient Lifelong Learning with A-GEM

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COBRA: A Continual Learning Approach to Vision-Brain Understanding Dark Experience for General Continual Learning: a Strong, Simple Baseline

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COBRA: A Continual Learning Approach to Vision-Brain Understanding iCaRL: Incremental Classifier and Representation Learning

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COBRA: A Continual Learning Approach to Vision-Brain Understanding In: 2015 53rd Annual Allerton Conference on Communication, Control, and Computing (Allerton), pp

Reference 39

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COBRA: A Continual Learning Approach to Vision-Brain Understanding DualNet: Continual Learning, Fast and Slow

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COBRA: A Continual Learning Approach to Vision-Brain Understanding In: Proceedings of the IEEE/CVF International Conference on Computer Vision, pp

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COBRA: A Continual Learning Approach to Vision-Brain Understanding Large Scale Incremental Learning

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COBRA: A Continual Learning Approach to Vision-Brain Understanding In: 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW), pp

Reference 43

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COBRA: A Continual Learning Approach to Vision-Brain Understanding International Journal of Contents15(4), 8–15 (2019)

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:53:50.293162Z

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COBRA: A Continual Learning Approach to Vision-Brain Understanding IEEE Access 8, 162973–162981 (2020)

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COBRA: A Continual Learning Approach to Vision-Brain Understanding In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp

Reference 46

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COBRA: A Continual Learning Approach to Vision-Brain Understanding In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp

Reference 47

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COBRA: A Continual Learning Approach to Vision-Brain Understanding Two-Dimensional Quantum Material Identification via Self-Attention and Soft-labeling in Deep Learning

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COBRA: A Continual Learning Approach to Vision-Brain Understanding The Algonauts Project 2023 Challenge: UARK-UAlbany Team Solution

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COBRA: A Continual Learning Approach to Vision-Brain Understanding Brainformer: Mimic Human Visual Brain Functions to Machine Vision Models via fMRI

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COBRA: A Continual Learning Approach to Vision-Brain Understanding Fairness in Visual Clustering: A Novel Transformer Clustering Approach

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COBRA: A Continual Learning Approach to Vision-Brain Understanding BRACTIVE: A Brain Activation Approach to Human Visual Brain Learning

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Observation 0818b16e-cc8c-4f16-82d7-8683154c0b5e · outbound

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COBRA: A Continual Learning Approach to Vision-Brain Understanding Diffusion-Inspired Quantum Noise Mitigation in Parameterized Quantum Circuits

Reference 53

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Observation ceb47508-c4e6-46ab-a644-ae593c5801b2 · outbound

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COBRA: A Continual Learning Approach to Vision-Brain Understanding Hierarchical Quantum Control Gates for Functional MRI Understanding

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This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp.

COBRA: A Continual Learning Approach to Vision-Brain Understanding In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:53:50.254322Z

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Observation 58d0de75-b436-45a9-9210-5eaab9cfa65f · outbound

This paper cites QClusformer: A Quantum Transformer-based Framework for Unsupervised Visual Clustering.

COBRA: A Continual Learning Approach to Vision-Brain Understanding QClusformer: A Quantum Transformer-based Framework for Unsupervised Visual Clustering

Reference 56

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Observation 9b1ae4d5-33a6-4584-8816-0b9109fa4cee · outbound

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COBRA: A Continual Learning Approach to Vision-Brain Understanding Deep Bayesian Unsupervised Lifelong Learning

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-12T12:53:48.533125Z

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Observation 8ecc092f-6591-4697-87aa-02548c086997 · outbound

This paper cites Lifelong Learning with Dynamically Expandable Networks.

COBRA: A Continual Learning Approach to Vision-Brain Understanding Lifelong Learning with Dynamically Expandable Networks

Reference 58

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Observation c4256e71-2c70-4de9-850c-5c40003eb2dd · outbound

This paper cites Progressive Neural Networks.

COBRA: A Continual Learning Approach to Vision-Brain Understanding Progressive Neural Networks

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-12T12:53:48.583220Z

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Observation 5cba841b-cba9-4d68-a04f-e3cc586899f8 · outbound

This paper cites Continual Unsupervised Representation Learning.

COBRA: A Continual Learning Approach to Vision-Brain Understanding Continual Unsupervised Representation Learning

Reference 60

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Observation 1e03214c-48f4-4510-ab47-fd4ed600aeca · outbound

This paper cites Generalized Variational Continual Learning.

COBRA: A Continual Learning Approach to Vision-Brain Understanding Generalized Variational Continual Learning

Reference 61

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Observation 5151ac56-8043-426d-9cc0-a8767c0338b1 · outbound

This paper cites Learn to Grow: A Continual Structure Learning Framework for Overcoming Catastrophic Forgetting.

COBRA: A Continual Learning Approach to Vision-Brain Understanding Learn to Grow: A Continual Structure Learning Framework for Overcoming Catastrophic Forgetting

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-12T12:53:48.597817Z

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Observation ce5f2ea5-a34d-4ac2-b496-c63771624403 · outbound

This paper cites https://arxiv.org/abs/2006.

COBRA: A Continual Learning Approach to Vision-Brain Understanding https://arxiv.org/abs/2006

Reference 63

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Observation 4a7ea017-d8e1-451a-8178-3e374a33b43e · outbound

This paper cites https://arxiv.org/abs/1801.

COBRA: A Continual Learning Approach to Vision-Brain Understanding https://arxiv.org/abs/1801

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:53:50.230481Z

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Observation a008c26e-5711-414d-9aa0-21969a4cdb09 · outbound

This paper cites PackNet: Adding Multiple Tasks to a Single Network by Iterative Pruning.

COBRA: A Continual Learning Approach to Vision-Brain Understanding PackNet: Adding Multiple Tasks to a Single Network by Iterative Pruning

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-12T12:53:48.669080Z

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Observation bbef6cfb-e906-4c6d-9624-5d8b1eda91fe · outbound

This paper cites Continual Learning of a Mixed Sequence of Similar and Dissimilar Tasks.

COBRA: A Continual Learning Approach to Vision-Brain Understanding Continual Learning of a Mixed Sequence of Similar and Dissimilar Tasks

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-12T12:53:48.734899Z

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Observation f0423082-8de6-4f08-aa19-48f87a3a4849 · outbound

This paper cites Nature Machine Intelligence5(10), 1097–1107 (2023).

COBRA: A Continual Learning Approach to Vision-Brain Understanding Nature Machine Intelligence5(10), 1097–1107 (2023)

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:53:50.218424Z

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Observation 5e07f28d-6eb8-46a7-9fba-074333e83ee0 · outbound

This paper cites In: Image and Graphics: 33 11th International Conference, ICIG 2021, Haikou, China, August 6–8, 2021, Proceedings, Part II 11, pp.

COBRA: A Continual Learning Approach to Vision-Brain Understanding In: Image and Graphics: 33 11th International Conference, ICIG 2021, Haikou, China, August 6–8, 2021, Proceedings, Part II 11, pp

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:53:50.207976Z

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Observation 4fe16456-2f4d-47eb-aebe-2dd91e651a5a · outbound

This paper cites Advances in Neural Information Processing Systems 35, 17612–17625 (2022).

COBRA: A Continual Learning Approach to Vision-Brain Understanding Advances in Neural Information Processing Systems 35, 17612–17625 (2022)

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:53:50.197261Z

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Observation 1b2b1a9c-2a65-4ced-b5e6-bb3776f5edbf · outbound

This paper cites EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks.

COBRA: A Continual Learning Approach to Vision-Brain Understanding EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-12T12:53:48.774992Z

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Observation 99f4b276-fb55-4922-8fd2-4c0296d7badb · outbound

This paper cites In: Proceedings of the IEEE/CVF International Conference on Computer Vision, pp.

COBRA: A Continual Learning Approach to Vision-Brain Understanding In: Proceedings of the IEEE/CVF International Conference on Computer Vision, pp

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-12T12:53:48.780639Z

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Unavailable: canonical work link unavailable.

Observation 50021bac-bf1b-4a4f-b88a-cb6fb16e527b · outbound

This paper cites Science 293(5539), 2425–2430 (2001).

COBRA: A Continual Learning Approach to Vision-Brain Understanding Science 293(5539), 2425–2430 (2001)

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:53:50.180198Z

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Observation f3577813-577a-4d29-b002-f8a124783a87 · outbound

This paper cites Human brain mapping 8(4), 272–284 (1999).

COBRA: A Continual Learning Approach to Vision-Brain Understanding Human brain mapping 8(4), 272–284 (1999)

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:53:50.170053Z

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Observation 88f9fdf6-e2ef-42e9-88ee-8c53aed4e58f · outbound

This paper cites : A massive 7t fmri dataset to bridge cognitive neuroscience and artificial intelligence.

COBRA: A Continual Learning Approach to Vision-Brain Understanding : A massive 7t fmri dataset to bridge cognitive neuroscience and artificial intelligence

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-12T12:53:48.794279Z

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Observation 9f0e6ead-cec7-4e19-becb-e59cf7cf2e14 · outbound

This paper cites In: Computer Vision– ECCV 2014: 13th European Conference, Zurich, Switzerland, September 6-12, 2014, Proceedings, Part V 13, pp.

COBRA: A Continual Learning Approach to Vision-Brain Understanding In: Computer Vision– ECCV 2014: 13th European Conference, Zurich, Switzerland, September 6-12, 2014, Proceedings, Part V 13, pp

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-12T12:53:48.798456Z

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Unavailable: canonical work link unavailable.

Observation efeff9c0-0f78-4771-932f-422e08cdf78c · outbound

This paper cites In: European Conference on Computer Vision, pp.

COBRA: A Continual Learning Approach to Vision-Brain Understanding In: European Conference on Computer Vision, pp

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:53:50.146756Z

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Observation d8e251a8-3cc8-49d1-aacc-3bfe6cf7aaf5 · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp.

COBRA: A Continual Learning Approach to Vision-Brain Understanding In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:53:50.136499Z

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Observation 91ad72d7-c570-46e9-8cdc-aae1eec039e1 · outbound

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COBRA: A Continual Learning Approach to Vision-Brain Understanding Unresolved cited work

Reference 78

Resolution: unresolved; raw_fallback, observed 2026-08-12T12:53:50.124727Z

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Observation 4aae182a-f161-4ece-9ecf-f4162c7c65c6 · outbound

This paper cites SemEval-2020 Task 11: Detection of Propaganda Techniques in News Articles.

COBRA: A Continual Learning Approach to Vision-Brain Understanding SemEval-2020 Task 11: Detection of Propaganda Techniques in News Articles

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-12T12:53:48.813106Z

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Observation 4d92a025-458b-4b3a-8fe6-aa201353ebca · outbound

This paper cites Decoupled Weight Decay Regularization.

COBRA: A Continual Learning Approach to Vision-Brain Understanding Decoupled Weight Decay Regularization

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-12T12:53:48.818195Z

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Observation 2a1083df-66fc-4664-bf4e-708206732fb2 · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp.

COBRA: A Continual Learning Approach to Vision-Brain Understanding In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-12T12:53:48.841510Z

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Observation e6f107bb-15d1-49e4-982b-636a814b613f · outbound

This paper cites IEEE Transactions on Pattern Analysis and Machine Intelligence 40(12), 2935–2947 (2018) https://doi.org/10.

COBRA: A Continual Learning Approach to Vision-Brain Understanding IEEE Transactions on Pattern Analysis and Machine Intelligence 40(12), 2935–2947 (2018) https://doi.org/10

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-12T12:53:48.920152Z

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Unavailable: canonical work link unavailable.

Observation 75d5172d-e2b9-435a-acf3-eba0043b549b · outbound

This paper cites Shikra: Unleashing Multimodal LLM's Referential Dialogue Magic.

COBRA: A Continual Learning Approach to Vision-Brain Understanding Shikra: Unleashing Multimodal LLM's Referential Dialogue Magic

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-12T12:53:48.976695Z

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Observation b069104b-b1fa-415e-b647-a8ce0b87ff64 · outbound

This paper cites Mind Reader: Reconstructing complex images from brain activities.

COBRA: A Continual Learning Approach to Vision-Brain Understanding Mind Reader: Reconstructing complex images from brain activities

Reference 84

Resolution: metadata mismatch; local_arxiv, observed 2026-08-12T12:53:49.375075Z

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Observation 997e0460-154c-4d0e-8ac2-bdad2e2208d1 · outbound

This paper cites Seeing Beyond the Brain: Conditional Diffusion Model with Sparse Masked Modeling for Vision Decoding.

COBRA: A Continual Learning Approach to Vision-Brain Understanding Seeing Beyond the Brain: Conditional Diffusion Model with Sparse Masked Modeling for Vision Decoding

Reference 85

Resolution: unresolved; no resolver link, observed 2026-08-12T12:53:49.091659Z

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Unavailable: canonical work link unavailable.

Observation 979cb50c-b3a9-4e93-b140-33fb6a29b315 · outbound

This paper cites Decoding natural image stimuli from fMRI data with a surface-based convolutional network.

COBRA: A Continual Learning Approach to Vision-Brain Understanding Decoding natural image stimuli from fMRI data with a surface-based convolutional network

Reference 86

Resolution: unresolved; no resolver link, observed 2026-08-12T12:53:49.143631Z

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Observation 64fbff76-46b4-40c0-8b2f-86b11a7945f5 · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp.

COBRA: A Continual Learning Approach to Vision-Brain Understanding In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp

Reference 87

Resolution: unresolved; no resolver link, observed 2026-08-12T12:53:49.154309Z

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Unavailable: canonical work link unavailable.

Observation 7dd47496-0bb7-4ad9-bdb9-7b79a4a5f622 · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp.

COBRA: A Continual Learning Approach to Vision-Brain Understanding In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp

Reference 88

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:53:50.103903Z

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 6b7f1b4a-186e-4e44-aa83-fc1f65c44607 · outbound

This paper cites Brain Captioning: Decoding human brain activity into images and text.

COBRA: A Continual Learning Approach to Vision-Brain Understanding Brain Captioning: Decoding human brain activity into images and text

Reference 89

Resolution: unresolved; no resolver link, observed 2026-08-12T12:53:49.162428Z

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Observation 7dc291d1-6f92-496c-8e09-c131ae400388 · outbound

This paper cites UniBrain: Unify Image Reconstruction and Captioning All in One Diffusion Model from Human Brain Activity.

COBRA: A Continual Learning Approach to Vision-Brain Understanding UniBrain: Unify Image Reconstruction and Captioning All in One Diffusion Model from Human Brain Activity

Reference 90

Resolution: unresolved; no resolver link, observed 2026-08-12T12:53:49.166907Z

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Unavailable: canonical work link unavailable.

Observation f6f3eca8-f387-40a8-8e54-097aafd83b6f · outbound

This paper cites Journal of machine learning research 9(11) (2008) 36.

COBRA: A Continual Learning Approach to Vision-Brain Understanding Journal of machine learning research 9(11) (2008) 36

Reference 91

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:53:50.090119Z

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Pith citing papers

Observation 67e8655d-6962-4113-b6eb-e110cab7f4a3 · inbound

Quantum-Brain: Quantum-Inspired Neural Network Approach to Vision-Brain Understanding cites this paper.

Quantum-Brain: Quantum-Inspired Neural Network Approach to Vision-Brain Understanding COBRA: A Continual Learning Approach to Vision-Brain Understanding

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-12T16:36:42.519603Z

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Unavailable: canonical work link unavailable.

Observation 91936898-3a7e-49e2-9035-51217a0222b5 · inbound

BRAIN: Bias-Mitigation Continual Learning Approach to Vision-Brain Understanding cites this paper.

BRAIN: Bias-Mitigation Continual Learning Approach to Vision-Brain Understanding COBRA: A Continual Learning Approach to Vision-Brain Understanding

Reference 52

Resolution: verified exact; arxiv_id, observed 2026-05-18T21:16:51.258576Z

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.