Paper Citation Record · LEDGER

Mamba-CL: Optimizing Selective State Space Model in Null Space for Continual Learning

As of 20 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 4 inbound Pith citation observations for arXiv:2411.15469.

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

pith.paper-citation-record.v1
2411.15469 v3

Coverage vector

measured 46 of 46 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T14:22:14.842803Z

measured 50 of 50 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:00:20.552546Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T02:06:26.932715Z

Reference resolution

46 of 46 outbound references displayed

verified exact0
verified fuzzy26
unresolved20
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 51570a3d-caa8-42bd-a815-5bdedd1d5203 · outbound

This paper cites write newline.

Mamba-CL: Optimizing Selective State Space Model in Null Space for Continual Learning write newline

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-12T14:22:14.529353Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1b017aae-17a7-489a-8f1f-a381e4ec74a1 · outbound

This paper cites Gradient based sample selection for online continual learning.

Mamba-CL: Optimizing Selective State Space Model in Null Space for Continual Learning Gradient based sample selection for online continual learning

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:22:15.976896Z

Source-reported events for the cited work

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

Observation 5b8b8e64-21b5-42a6-b047-838de9b8d52e · outbound

This paper cites Autoaugment: Learning augmentation strategies from data.

Mamba-CL: Optimizing Selective State Space Model in Null Space for Continual Learning Autoaugment: Learning augmentation strategies from data

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:22:15.940679Z

Source-reported events for the cited work

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

Observation fa1b67ba-6fb1-48a3-9b9c-8b5b06d0ae6d · outbound

This paper cites On the effectiveness of layernorm tuning for continual learning in vision transformers.

Mamba-CL: Optimizing Selective State Space Model in Null Space for Continual Learning On the effectiveness of layernorm tuning for continual learning in vision transformers

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:22:15.913024Z

Source-reported events for the cited work

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

Observation 613a9e83-fbc9-4a2a-9207-07f0fb3394f4 · outbound

This paper cites Flattening sharpness for dynamic gradient projection memory benefits continual learning.

Mamba-CL: Optimizing Selective State Space Model in Null Space for Continual Learning Flattening sharpness for dynamic gradient projection memory benefits continual learning

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:22:15.890143Z

Source-reported events for the cited work

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

Observation 8c2e6593-ae65-4465-8377-eed12a97ab5b · outbound

This paper cites Efficient architecture search for continual learning.

Mamba-CL: Optimizing Selective State Space Model in Null Space for Continual Learning Efficient architecture search for continual learning

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:22:15.869985Z

Source-reported events for the cited work

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

Observation 0ef1cf60-4a1f-4680-8454-00f2c81b342e · outbound

This paper cites A unified continual learning framework with general parameter-efficient tuning.

Mamba-CL: Optimizing Selective State Space Model in Null Space for Continual Learning A unified continual learning framework with general parameter-efficient tuning

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:22:15.847591Z

Source-reported events for the cited work

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

Observation 82a9d4c2-a26e-4361-9d27-5c6299f0bf0e · outbound

This paper cites Consistent prompting for rehearsal-free continual learning.

Mamba-CL: Optimizing Selective State Space Model in Null Space for Continual Learning Consistent prompting for rehearsal-free continual learning

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:22:15.825669Z

Source-reported events for the cited work

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

Observation 0647f9a4-218f-4453-95d9-7c0c526bc988 · outbound

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

Mamba-CL: Optimizing Selective State Space Model in Null Space for Continual Learning Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-12T14:22:14.586981Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 21ba1b2a-1fac-4535-a67c-7d1ea0103b74 · outbound

This paper cites Efficiently Modeling Long Sequences with Structured State Spaces.

Mamba-CL: Optimizing Selective State Space Model in Null Space for Continual Learning Efficiently Modeling Long Sequences with Structured State Spaces

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-12T14:22:14.593795Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e6ba260e-57fb-4a48-b193-56c8290fabe5 · outbound

This paper cites MambaVision: A Hybrid Mamba-Transformer Vision Backbone.

Mamba-CL: Optimizing Selective State Space Model in Null Space for Continual Learning MambaVision: A Hybrid Mamba-Transformer Vision Backbone

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-12T14:22:14.602148Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5b2797c2-31a2-4809-9079-b1a1cc304176 · outbound

This paper cites The many faces of robustness: A critical analysis of out-of-distribution generalization.

Mamba-CL: Optimizing Selective State Space Model in Null Space for Continual Learning The many faces of robustness: A critical analysis of out-of-distribution generalization

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-12T14:22:14.608774Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 18f31a48-0573-4419-a5e9-ea78fbadb621 · outbound

This paper cites Curiosity-driven class-incremental learning via adaptive sample selection.

Mamba-CL: Optimizing Selective State Space Model in Null Space for Continual Learning Curiosity-driven class-incremental learning via adaptive sample selection

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:22:15.780797Z

Source-reported events for the cited work

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

Observation 55bd7a6b-3a23-4a6b-acdd-9de03c4d8c86 · outbound

This paper cites OVOR : Oneprompt with virtual outlier regularization for rehearsal-free class-incremental learning.

Mamba-CL: Optimizing Selective State Space Model in Null Space for Continual Learning OVOR : Oneprompt with virtual outlier regularization for rehearsal-free class-incremental learning

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:22:15.757376Z

Source-reported events for the cited work

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

Observation 34296b63-035a-4505-af18-8956c22a6ff9 · outbound

This paper cites Compacting, picking and growing for unforgetting continual learning.

Mamba-CL: Optimizing Selective State Space Model in Null Space for Continual Learning Compacting, picking and growing for unforgetting continual learning

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-12T14:22:14.628992Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e6d9a42d-dae4-4bf8-9853-9b9bc4f4e102 · outbound

This paper cites Efficient movie scene detection using state-space transformers.

Mamba-CL: Optimizing Selective State Space Model in Null Space for Continual Learning Efficient movie scene detection using state-space transformers

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:22:15.720955Z

Source-reported events for the cited work

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

Observation 9c81bb58-d792-44ca-baa0-0c5e699f61c5 · outbound

This paper cites Introducing language guidance in prompt-based continual learning.

Mamba-CL: Optimizing Selective State Space Model in Null Space for Continual Learning Introducing language guidance in prompt-based continual learning

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:22:15.700198Z

Source-reported events for the cited work

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

Observation 56aa7699-3284-4980-b445-bf37b013c00d · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Mamba-CL: Optimizing Selective State Space Model in Null Space for Continual Learning Adam: A Method for Stochastic Optimization

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-12T14:22:14.646330Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 166c09b7-ee9f-4d3f-b9bc-c5ed5e3b8128 · outbound

This paper cites Overcoming catastrophic forgetting in neural networks.

Mamba-CL: Optimizing Selective State Space Model in Null Space for Continual Learning Overcoming catastrophic forgetting in neural networks

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-12T14:22:14.651960Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 032faf55-be6f-4aa5-9f2c-5fb3630ceade · outbound

This paper cites Learning multiple layers of features from tiny images.

Mamba-CL: Optimizing Selective State Space Model in Null Space for Continual Learning Learning multiple layers of features from tiny images

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-12T14:22:14.658335Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5f999052-e3b4-4514-8dbf-b1b80faee3e2 · outbound

This paper cites Evolving parameterized prompt memory for continual learning.

Mamba-CL: Optimizing Selective State Space Model in Null Space for Continual Learning Evolving parameterized prompt memory for continual learning

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:22:15.637793Z

Source-reported events for the cited work

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

Observation 0bce4074-47dd-47e7-9951-e7b3706a7d72 · outbound

This paper cites Adaptive plasticity improvement for continual learning.

Mamba-CL: Optimizing Selective State Space Model in Null Space for Continual Learning Adaptive plasticity improvement for continual learning

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:22:15.615734Z

Source-reported events for the cited work

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

Observation cd5b9d74-7a7b-4dda-bfa4-cd203da2e894 · outbound

This paper cites Inflora: Interference-free low-rank adaptation for continual learning.

Mamba-CL: Optimizing Selective State Space Model in Null Space for Continual Learning Inflora: Interference-free low-rank adaptation for continual learning

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:22:15.592834Z

Source-reported events for the cited work

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

Observation 0becc981-e4ad-4267-8a92-c04e77b168e0 · outbound

This paper cites VMamba: Visual State Space Model.

Mamba-CL: Optimizing Selective State Space Model in Null Space for Continual Learning VMamba: Visual State Space Model

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-12T14:22:14.682536Z

Source-reported events for the cited work

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Observation c6f7c9ac-b588-4528-b88c-9cac9fdc7357 · outbound

This paper cites Visual prompt tuning in null space for continual learning.

Mamba-CL: Optimizing Selective State Space Model in Null Space for Continual Learning Visual prompt tuning in null space for continual learning

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:22:15.567468Z

Source-reported events for the cited work

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

Observation c6eadfc1-e1bc-46ea-ac48-ba9273d9063f · outbound

This paper cites U-Mamba: Enhancing Long-range Dependency for Biomedical Image Segmentation.

Mamba-CL: Optimizing Selective State Space Model in Null Space for Continual Learning U-Mamba: Enhancing Long-range Dependency for Biomedical Image Segmentation

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-12T14:22:14.700353Z

Source-reported events for the cited work

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Observation 86ae9972-d07c-4780-a5ed-08e014ae17ad · outbound

This paper cites Pytorch: An imperative style, high-performance deep learning library.

Mamba-CL: Optimizing Selective State Space Model in Null Space for Continual Learning Pytorch: An imperative style, high-performance deep learning library

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-12T14:22:14.707043Z

Source-reported events for the cited work

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Observation cf8878f5-c36f-498d-838b-d52b08316c57 · outbound

This paper cites Moment matching for multi-source domain adaptation.

Mamba-CL: Optimizing Selective State Space Model in Null Space for Continual Learning Moment matching for multi-source domain adaptation

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:22:15.521667Z

Source-reported events for the cited work

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

Observation 3f63251d-9ca3-48c3-8788-91b6ef9466e9 · outbound

This paper cites Prompt gradient projection for continual learning.

Mamba-CL: Optimizing Selective State Space Model in Null Space for Continual Learning Prompt gradient projection for continual learning

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-12T14:22:14.719657Z

Source-reported events for the cited work

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Observation eec952c4-bc36-4b8c-a91d-da3d3cfab075 · outbound

This paper cites Convolutional prompting meets language models for continual learning.

Mamba-CL: Optimizing Selective State Space Model in Null Space for Continual Learning Convolutional prompting meets language models for continual learning

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:22:15.480983Z

Source-reported events for the cited work

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

Observation a7f52563-517c-4073-9516-3544a55fcd7b · outbound

This paper cites Imagenet large scale visual recognition challenge.

Mamba-CL: Optimizing Selective State Space Model in Null Space for Continual Learning Imagenet large scale visual recognition challenge

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-12T14:22:14.735687Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bd583c75-4a8b-4cb9-b824-621941bb5dcb · outbound

This paper cites Gradient Projection Memory for Continual Learning.

Mamba-CL: Optimizing Selective State Space Model in Null Space for Continual Learning Gradient Projection Memory for Continual Learning

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-12T14:22:14.751970Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 03b44af6-bfdd-4674-bc4a-657c284d3bdb · outbound

This paper cites Coda-prompt: Continual decomposed attention-based prompting for rehearsal-free continual learning.

Mamba-CL: Optimizing Selective State Space Model in Null Space for Continual Learning Coda-prompt: Continual decomposed attention-based prompting for rehearsal-free continual learning

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:22:15.437727Z

Source-reported events for the cited work

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

Observation 9feba25e-b2d3-41c0-9d7a-d0004b9ee639 · outbound

This paper cites Simplified State Space Layers for Sequence Modeling.

Mamba-CL: Optimizing Selective State Space Model in Null Space for Continual Learning Simplified State Space Layers for Sequence Modeling

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-12T14:22:14.766046Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cbf5f2d0-0890-4d63-815a-f1499f3040ee · outbound

This paper cites Learning 1D Causal Visual Representation with De-focus Attention Networks.

Mamba-CL: Optimizing Selective State Space Model in Null Space for Continual Learning Learning 1D Causal Visual Representation with De-focus Attention Networks

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-12T14:22:14.772398Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 45f79fc8-221a-4ffa-8eb0-bf819bd0e065 · outbound

This paper cites Selective structured state-spaces for long-form video understanding.

Mamba-CL: Optimizing Selective State Space Model in Null Space for Continual Learning Selective structured state-spaces for long-form video understanding

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:22:15.409493Z

Source-reported events for the cited work

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

Observation 3d5ac587-b4e0-48be-8e6f-a810c74b614f · outbound

This paper cites Training networks in null space of feature covariance for continual learning.

Mamba-CL: Optimizing Selective State Space Model in Null Space for Continual Learning Training networks in null space of feature covariance for continual learning

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:22:15.369421Z

Source-reported events for the cited work

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

Observation 0df5652c-4d6f-4600-afc6-413c3b33a42c · outbound

This paper cites Isolation and impartial aggregation: A paradigm of incremental learning without interference.

Mamba-CL: Optimizing Selective State Space Model in Null Space for Continual Learning Isolation and impartial aggregation: A paradigm of incremental learning without interference

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:22:15.350111Z

Source-reported events for the cited work

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

Observation 7cb0c95c-477b-44f1-b2b4-87414a998052 · outbound

This paper cites Dualprompt: Complementary prompting for rehearsal-free continual learning.

Mamba-CL: Optimizing Selective State Space Model in Null Space for Continual Learning Dualprompt: Complementary prompting for rehearsal-free continual learning

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:22:15.331513Z

Source-reported events for the cited work

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

Observation 1a8a1bb3-f8d3-4883-a19d-97e83438957b · outbound

This paper cites Learning to prompt for continual learning.

Mamba-CL: Optimizing Selective State Space Model in Null Space for Continual Learning Learning to prompt for continual learning

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:22:15.306510Z

Source-reported events for the cited work

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

Observation 8b666179-1bb9-425e-8e55-9c1ea4bcb002 · outbound

This paper cites Pytorch image models.

Mamba-CL: Optimizing Selective State Space Model in Null Space for Continual Learning Pytorch image models

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-12T14:22:14.811893Z

Source-reported events for the cited work

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Observation ee1f75ad-2582-458f-96b0-8bd9b9546c24 · outbound

This paper cites Scalable and order-robust continual learning with additive parameter decomposition.

Mamba-CL: Optimizing Selective State Space Model in Null Space for Continual Learning Scalable and order-robust continual learning with additive parameter decomposition

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:22:15.259505Z

Source-reported events for the cited work

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

Observation 4ffc503c-04d4-423c-9a68-b88610b76f40 · outbound

This paper cites Continual learning of context-dependent processing in neural networks.

Mamba-CL: Optimizing Selective State Space Model in Null Space for Continual Learning Continual learning of context-dependent processing in neural networks

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-12T14:22:14.823754Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 438a5a02-1db1-4ae5-bd5d-cdf63f50051d · outbound

This paper cites Memory-efficient class-incremental learning for image classification.

Mamba-CL: Optimizing Selective State Space Model in Null Space for Continual Learning Memory-efficient class-incremental learning for image classification

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:22:15.206525Z

Source-reported events for the cited work

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

Observation 89f5d539-6b41-45fc-bb01-94c9aa8d19f3 · outbound

This paper cites Expandable subspace ensemble for pre-trained model-based class-incremental learning.

Mamba-CL: Optimizing Selective State Space Model in Null Space for Continual Learning Expandable subspace ensemble for pre-trained model-based class-incremental learning

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:22:15.174998Z

Source-reported events for the cited work

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

Observation 70ea5305-67c0-4228-beeb-b711f21a8f69 · outbound

This paper cites Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model.

Mamba-CL: Optimizing Selective State Space Model in Null Space for Continual Learning Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-12T14:22:14.842803Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 5bf0c40e-c91d-45a6-bc56-a508e71aa3e6 · inbound

Exemplar-Free Continual Learning for State Space Models cites this paper.

Exemplar-Free Continual Learning for State Space Models Mamba-CL: Optimizing Selective State Space Model in Null Space for Continual Learning

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-07-28T00:21:30.371308Z

Source-reported events for the cited work

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

Observation 59f49a11-c205-41f3-9828-56b3021ff082 · inbound

CKAA: Cross-subspace Knowledge Alignment and Aggregation for Robust Continual Learning cites this paper.

CKAA: Cross-subspace Knowledge Alignment and Aggregation for Robust Continual Learning Mamba-CL: Optimizing Selective State Space Model in Null Space for Continual Learning

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-06T18:00:20.552546Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 37d138a5-9364-4845-827f-e6b2f826c213 · inbound

Learning to Remember, Learn, and Forget in Attention-Based Models cites this paper.

Learning to Remember, Learn, and Forget in Attention-Based Models Mamba-CL: Optimizing Selective State Space Model in Null Space for Continual Learning

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-03T03:16:05.350480Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9b9d7254-2805-43ae-bd10-22dab4155469 · inbound

Knowledge-Preserved Model Tuning in Null-Space for Robust Spatio-Temporal Video Grounding cites this paper.

Knowledge-Preserved Model Tuning in Null-Space for Robust Spatio-Temporal Video Grounding Mamba-CL: Optimizing Selective State Space Model in Null Space for Continual Learning

Reference 17

Resolution: metadata mismatch; arxiv_id, observed 2026-07-28T00:21:30.371308Z

Source-reported events for the cited work

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