Paper Citation Record · LEDGER

Learning Mamba as a Continual Learner: Meta-learning Selective State Space Models for Efficient Continual Learning

As of 20 August 2026, this Paper Citation Record lists 74 of 74 outbound references and 2 inbound Pith citation observations for arXiv:2412.00776.

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

pith.paper-citation-record.v1
2412.00776 v4

Coverage vector

measured 74 of 74 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T05:06:54.142826Z

measured 76 of 76 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T22:41:45.308287Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T13:32:19.480796Z

Reference resolution

74 of 74 outbound references displayed

verified exact0
verified fuzzy23
unresolved51
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e422c81a-e179-4087-b923-3155fcd8b8a0 · outbound

This paper cites Memory aware synapses: Learning what (not) to forget.

Learning Mamba as a Continual Learner: Meta-learning Selective State Space Models for Efficient Continual Learning Memory aware synapses: Learning what (not) to forget

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:06:55.051229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d5d3f2f7-a66f-4f2e-9a42-8163e356b790 · outbound

This paper cites Learning to Continually Learn.

Learning Mamba as a Continual Learner: Meta-learning Selective State Space Models for Efficient Continual Learning Learning to Continually Learn

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-12T05:06:53.819001Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation de2853b4-0591-4f18-9741-4bbbc3c9586e · outbound

This paper cites Transformers for Supervised Online Continual Learning.

Learning Mamba as a Continual Learner: Meta-learning Selective State Space Models for Efficient Continual Learning Transformers for Supervised Online Continual Learning

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-12T05:06:53.825392Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e97d2e73-7d37-4a48-ba42-c49e6259e411 · outbound

This paper cites Class-incremental continual learning into the extended der-verse.

Learning Mamba as a Continual Learner: Meta-learning Selective State Space Models for Efficient Continual Learning Class-incremental continual learning into the extended der-verse

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:06:55.034099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7368c6cb-b624-4bef-964f-fa63d117add3 · outbound

This paper cites Language models are few-shot learners.

Learning Mamba as a Continual Learner: Meta-learning Selective State Space Models for Efficient Continual Learning Language models are few-shot learners

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-12T05:06:53.835261Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 16c4d34e-cd00-4c20-b71f-df91dc103c38 · outbound

This paper cites Dark experience for general continual learning: a strong, simple baseline.

Learning Mamba as a Continual Learner: Meta-learning Selective State Space Models for Efficient Continual Learning Dark experience for general continual learning: a strong, simple baseline

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-12T05:06:53.839251Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9e40216f-f9ca-4022-80e4-da09c83d1905 · outbound

This paper cites On Tiny Episodic Memories in Continual Learning.

Learning Mamba as a Continual Learner: Meta-learning Selective State Space Models for Efficient Continual Learning On Tiny Episodic Memories in Continual Learning

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-12T05:06:53.843438Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 79566fda-6720-4460-bd62-250b705a203e · outbound

This paper cites Rethinking Attention with Performers.

Learning Mamba as a Continual Learner: Meta-learning Selective State Space Models for Efficient Continual Learning Rethinking Attention with Performers

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-12T05:06:53.847312Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e6dffc7d-f9b6-4b45-9680-ca4ce77b9126 · outbound

This paper cites Transformers are SSMs: Generalized Models and Efficient Algorithms Through Structured State Space Duality.

Learning Mamba as a Continual Learner: Meta-learning Selective State Space Models for Efficient Continual Learning Transformers are SSMs: Generalized Models and Efficient Algorithms Through Structured State Space Duality

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-12T05:06:53.851115Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d3c6e0d4-e02b-41ac-beda-272d1fff360a · outbound

This paper cites Novel datasets for fine-grained image categorization.

Learning Mamba as a Continual Learner: Meta-learning Selective State Space Models for Efficient Continual Learning Novel datasets for fine-grained image categorization

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:06:55.003045Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 90444411-7ec0-4467-a054-54be5c8bf50f · outbound

This paper cites A continual learning survey: Defying forgetting in classification tasks.

Learning Mamba as a Continual Learner: Meta-learning Selective State Space Models for Efficient Continual Learning A continual learning survey: Defying forgetting in classification tasks

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:06:54.988994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 22b01bd9-9769-449d-a055-75a9fd8a04be · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

Learning Mamba as a Continual Learner: Meta-learning Selective State Space Models for Efficient Continual Learning BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-12T05:06:53.862261Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8d19463a-f724-45aa-b767-c30784a328f4 · outbound

This paper cites Switch transformers: Scaling to trillion parameter models with simple and efficient sparsity.

Learning Mamba as a Continual Learner: Meta-learning Selective State Space Models for Efficient Continual Learning Switch transformers: Scaling to trillion parameter models with simple and efficient sparsity

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:06:54.975150Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation dfc79d8f-f5f1-4021-b566-65518748638b · outbound

This paper cites Model-agnostic meta-learning for fast adap- tation of deep networks.

Learning Mamba as a Continual Learner: Meta-learning Selective State Space Models for Efficient Continual Learning Model-agnostic meta-learning for fast adap- tation of deep networks

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-12T05:06:53.869520Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c07b2a09-7a25-4306-aff8-a77d1d73ee3e · outbound

This paper cites The Pile: An 800GB Dataset of Diverse Text for Language Modeling.

Learning Mamba as a Continual Learner: Meta-learning Selective State Space Models for Efficient Continual Learning The Pile: An 800GB Dataset of Diverse Text for Language Modeling

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-12T05:06:53.872971Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9a51e20d-787f-432e-a05b-54905e73a88f · outbound

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

Learning Mamba as a Continual Learner: Meta-learning Selective State Space Models for Efficient Continual Learning Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-12T05:06:53.876950Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cf568002-ea25-43a5-a4da-948f71f8f0fa · outbound

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

Learning Mamba as a Continual Learner: Meta-learning Selective State Space Models for Efficient Continual Learning Efficiently Modeling Long Sequences with Structured State Spaces

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-12T05:06:53.880583Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c911ba70-7328-4e8b-8a0c-7640a64bbf92 · outbound

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

Learning Mamba as a Continual Learner: Meta-learning Selective State Space Models for Efficient Continual Learning Combining recurrent, convolutional, and continuous-time models with linear state space layers

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-12T05:06:53.884335Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5317ec0e-9566-48e7-a347-73d19d053654 · outbound

This paper cites Ms-celeb-1m: A dataset and benchmark for large-scale face recognition.

Learning Mamba as a Continual Learner: Meta-learning Selective State Space Models for Efficient Continual Learning Ms-celeb-1m: A dataset and benchmark for large-scale face recognition

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-12T05:06:53.888590Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4c508f0c-bc2f-4134-a5e6-f562e08b0d06 · outbound

This paper cites Dealing with cross-task class discrimination in online continual learning.

Learning Mamba as a Continual Learner: Meta-learning Selective State Space Models for Efficient Continual Learning Dealing with cross-task class discrimination in online continual learning

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:06:54.936371Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation cf421e5a-03e3-48af-b2fb-31918d0e2030 · outbound

This paper cites Look-ahead meta learning for continual learning.

Learning Mamba as a Continual Learner: Meta-learning Selective State Space Models for Efficient Continual Learning Look-ahead meta learning for continual learning

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:06:54.922951Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 2eaeb0dc-09e3-4b8e-9b32-ded812de2f94 · outbound

This paper cites Demystify Mamba in Vision: A Linear Attention Perspective.

Learning Mamba as a Continual Learner: Meta-learning Selective State Space Models for Efficient Continual Learning Demystify Mamba in Vision: A Linear Attention Perspective

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-12T05:06:53.899693Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 015f786e-e22c-4a62-8a07-5e99f3d0f998 · outbound

This paper cites Remind your neural network to prevent catastrophic forgetting.

Learning Mamba as a Continual Learner: Meta-learning Selective State Space Models for Efficient Continual Learning Remind your neural network to prevent catastrophic forgetting

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:06:54.909925Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 485a97fe-e9e7-431e-8eb5-d4dcb5113dda · outbound

This paper cites Openclip, 2021.

Learning Mamba as a Continual Learner: Meta-learning Selective State Space Models for Efficient Continual Learning Openclip, 2021

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-12T05:06:53.907363Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 00ffc1f2-1d63-4573-b3b7-d980649be82a · outbound

This paper cites Meta-learning representations for continual learning.

Learning Mamba as a Continual Learner: Meta-learning Selective State Space Models for Efficient Continual Learning Meta-learning representations for continual learning

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:06:54.888104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 2b25d2a8-8c10-4cb0-b794-00079d1e561f · outbound

This paper cites A new approach to linear filtering and prediction problems.

Learning Mamba as a Continual Learner: Meta-learning Selective State Space Models for Efficient Continual Learning A new approach to linear filtering and prediction problems

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-12T05:06:53.914923Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 77d45bba-f137-4c2f-85d3-5fbdc2cf77e8 · outbound

This paper cites Transformers are rnns: Fast autoregressive transformers with linear attention.

Learning Mamba as a Continual Learner: Meta-learning Selective State Space Models for Efficient Continual Learning Transformers are rnns: Fast autoregressive transformers with linear attention

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-12T05:06:53.918768Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e5968398-a1e5-4714-8de7-ac2dce6b8558 · outbound

This paper cites Overcoming catastrophic forgetting in neural networks.

Learning Mamba as a Continual Learner: Meta-learning Selective State Space Models for Efficient Continual Learning Overcoming catastrophic forgetting in neural networks

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-12T05:06:53.922911Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c8155e2a-6626-4b0c-9100-2a436f7a523e · outbound

This paper cites 3d object representations for fine- grained categorization.

Learning Mamba as a Continual Learner: Meta-learning Selective State Space Models for Efficient Continual Learning 3d object representations for fine- grained categorization

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-12T05:06:53.927119Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a7db5d6c-bb90-425c-838e-fecac89bfb5b · outbound

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

Learning Mamba as a Continual Learner: Meta-learning Selective State Space Models for Efficient Continual Learning Learning multiple layers of features from tiny images

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-12T05:06:53.931074Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 481f5df9-6898-42f3-97cb-45b13d3d2468 · outbound

This paper cites Human-level concept learning through probabilistic program induction.

Learning Mamba as a Continual Learner: Meta-learning Selective State Space Models for Efficient Continual Learning Human-level concept learning through probabilistic program induction

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-12T05:06:53.935262Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ce664c52-680e-4b8d-b067-312c6eb23c13 · outbound

This paper cites Recasting continual learning as sequence mod- eling.

Learning Mamba as a Continual Learner: Meta-learning Selective State Space Models for Efficient Continual Learning Recasting continual learning as sequence mod- eling

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:06:54.826010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ad1973bf-75fc-460c-94de-34f826b66e3d · outbound

This paper cites Learn to grow: A continual structure learning framework for overcoming catastrophic forgetting.

Learning Mamba as a Continual Learner: Meta-learning Selective State Space Models for Efficient Continual Learning Learn to grow: A continual structure learning framework for overcoming catastrophic forgetting

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-12T05:06:53.944509Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d4b8d1d8-c699-49ab-b84a-0515e8e1b912 · outbound

This paper cites Learning without forgetting.

Learning Mamba as a Continual Learner: Meta-learning Selective State Space Models for Efficient Continual Learning Learning without forgetting

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:06:54.804341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 78558f74-6e2e-4812-892f-446276a50fb9 · outbound

This paper cites Jamba: A Hybrid Transformer-Mamba Language Model.

Learning Mamba as a Continual Learner: Meta-learning Selective State Space Models for Efficient Continual Learning Jamba: A Hybrid Transformer-Mamba Language Model

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-12T05:06:53.953707Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1d6b28f5-48c7-4ab0-9cad-1cc75fc15ed5 · outbound

This paper cites Casia online and offline chinese handwriting databases.

Learning Mamba as a Continual Learner: Meta-learning Selective State Space Models for Efficient Continual Learning Casia online and offline chinese handwriting databases

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:06:54.790846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 36060592-5875-4e9c-b004-c9e41836182a · outbound

This paper cites Gradient episodic memory for continual learning.

Learning Mamba as a Continual Learner: Meta-learning Selective State Space Models for Efficient Continual Learning Gradient episodic memory for continual learning

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-12T05:06:53.963668Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 45dd0079-2d08-4641-ba34-757104eeb3d7 · outbound

This paper cites Take Only What You Need: Rank Minimization as an Implicit Forgetting Regularizer in Continual Learning.

Learning Mamba as a Continual Learner: Meta-learning Selective State Space Models for Efficient Continual Learning Take Only What You Need: Rank Minimization as an Implicit Forgetting Regularizer in Continual Learning

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-12T05:06:53.968571Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 111ab059-a762-40c1-b20e-0cf0057c9775 · outbound

This paper cites Supervised contrastive replay: Revisiting the nearest class mean classifier in online class-incremental continual learning.

Learning Mamba as a Continual Learner: Meta-learning Selective State Space Models for Efficient Continual Learning Supervised contrastive replay: Revisiting the nearest class mean classifier in online class-incremental continual learning

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-12T05:06:53.973581Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 77d4cac1-bda5-491b-afb0-f2f30a409983 · outbound

This paper cites Fine-Grained Visual Classification of Aircraft.

Learning Mamba as a Continual Learner: Meta-learning Selective State Space Models for Efficient Continual Learning Fine-Grained Visual Classification of Aircraft

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-12T05:06:53.978289Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e9efa63a-cecb-4f47-a213-2c4aa59491af · outbound

This paper cites MetaICL: Learning to Learn In Context.

Learning Mamba as a Continual Learner: Meta-learning Selective State Space Models for Efficient Continual Learning MetaICL: Learning to Learn In Context

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-12T05:06:53.983153Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4160f1fe-a882-461a-af65-41d00065dfe1 · outbound

This paper cites Continual learning using a kernel-based method over foundation models.

Learning Mamba as a Continual Learner: Meta-learning Selective State Space Models for Efficient Continual Learning Continual learning using a kernel-based method over foundation models

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:06:54.760227Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f1e335bc-d2d9-4065-a3cc-76a359b49a69 · outbound

This paper cites Variational Continual Learning.

Learning Mamba as a Continual Learner: Meta-learning Selective State Space Models for Efficient Continual Learning Variational Continual Learning

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-12T05:06:53.992849Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8d233430-e071-4b1e-8925-7711a399c6a3 · outbound

This paper cites Continual learning via local module composition.

Learning Mamba as a Continual Learner: Meta-learning Selective State Space Models for Efficient Continual Learning Continual learning via local module composition

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:06:54.745879Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 995d9ca6-0ebe-4269-8398-42e5fb4c8ec3 · outbound

This paper cites Can Mamba Learn How to Learn? A Comparative Study on In-Context Learning Tasks.

Learning Mamba as a Continual Learner: Meta-learning Selective State Space Models for Efficient Continual Learning Can Mamba Learn How to Learn? A Comparative Study on In-Context Learning Tasks

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-12T05:06:54.001875Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 20a67ee1-1621-4691-8ff5-e4f3bbd215b9 · outbound

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

Learning Mamba as a Continual Learner: Meta-learning Selective State Space Models for Efficient Continual Learning Moment matching for multi-source domain adaptation

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-12T05:06:54.006780Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fb2373fe-b960-44aa-837c-47589106923d · outbound

This paper cites MoE-Mamba: Efficient Selective State Space Models with Mixture of Experts.

Learning Mamba as a Continual Learner: Meta-learning Selective State Space Models for Efficient Continual Learning MoE-Mamba: Efficient Selective State Space Models with Mixture of Experts

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-12T05:06:54.011504Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 26aeb05c-12b7-41b3-aa37-e833814821c3 · outbound

This paper cites Learning transferable visual models from natural language supervision.

Learning Mamba as a Continual Learner: Meta-learning Selective State Space Models for Efficient Continual Learning Learning transferable visual models from natural language supervision

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-12T05:06:54.016748Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5e061a59-74f8-4697-9fe4-6148fb96de5d · outbound

This paper cites icarl: Incremental classifier and representation learning.

Learning Mamba as a Continual Learner: Meta-learning Selective State Space Models for Efficient Continual Learning icarl: Incremental classifier and representation learning

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-12T05:06:54.021704Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3aeeca1e-e6d6-444c-9e4d-e0b80091ca0c · outbound

This paper cites Learning to Learn without Forgetting by Maximizing Transfer and Minimizing Interference.

Learning Mamba as a Continual Learner: Meta-learning Selective State Space Models for Efficient Continual Learning Learning to Learn without Forgetting by Maximizing Transfer and Minimizing Interference

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-12T05:06:54.026449Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0c0aac96-c0b5-4c86-b6ee-9fcc507d82c7 · outbound

This paper cites Scalable rec- ollections for continual lifelong learning.

Learning Mamba as a Continual Learner: Meta-learning Selective State Space Models for Efficient Continual Learning Scalable rec- ollections for continual lifelong learning

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:06:54.708336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 55206ff1-50a6-41ab-a85c-d234b54746c0 · outbound

This paper cites Complementary Learning for Overcoming Catastrophic Forgetting Using Experience Replay.

Learning Mamba as a Continual Learner: Meta-learning Selective State Space Models for Efficient Continual Learning Complementary Learning for Overcoming Catastrophic Forgetting Using Experience Replay

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-12T05:06:54.037140Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3138d0e3-926c-4e69-b166-34b1027b2b4f · outbound

This paper cites Imagenet large scale visual recognition challenge.

Learning Mamba as a Continual Learner: Meta-learning Selective State Space Models for Efficient Continual Learning Imagenet large scale visual recognition challenge

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-12T05:06:54.042803Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5c2d660f-cd64-4526-b320-72a930150a57 · outbound

This paper cites Neural Machine Translation of Rare Words with Subword Units.

Learning Mamba as a Continual Learner: Meta-learning Selective State Space Models for Efficient Continual Learning Neural Machine Translation of Rare Words with Subword Units

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-12T05:06:54.047223Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 01f80c41-7b0a-44b5-a05a-e9658b86a781 · outbound

This paper cites Learning equi-angular representations for online continual learning.

Learning Mamba as a Continual Learner: Meta-learning Selective State Space Models for Efficient Continual Learning Learning equi-angular representations for online continual learning

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:06:54.682150Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 75d9aa9a-1556-430d-b8a7-35721a1ae9e1 · outbound

This paper cites Overcoming catastrophic forgetting with hard attention to the task.

Learning Mamba as a Continual Learner: Meta-learning Selective State Space Models for Efficient Continual Learning Overcoming catastrophic forgetting with hard attention to the task

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-12T05:06:54.057238Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1d95c29b-ee28-44b7-94da-02015daf6ed7 · outbound

This paper cites Continual learning with deep generative replay.

Learning Mamba as a Continual Learner: Meta-learning Selective State Space Models for Efficient Continual Learning Continual learning with deep generative replay

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-12T05:06:54.062111Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7753dad9-c241-47a7-90e1-895449b9bfeb · outbound

This paper cites When meta-learning meets online and continual learning: A survey.

Learning Mamba as a Continual Learner: Meta-learning Selective State Space Models for Efficient Continual Learning When meta-learning meets online and continual learning: A survey

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:06:54.652753Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 52242a6b-abf0-43df-801d-aa5f3813505e · outbound

This paper cites Efficient Transformers: A Survey.

Learning Mamba as a Continual Learner: Meta-learning Selective State Space Models for Efficient Continual Learning Efficient Transformers: A Survey

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-12T05:06:54.071961Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e3ca9a6e-a980-4abe-9b51-412bbe661cb3 · outbound

This paper cites Efficient transformers: A survey.

Learning Mamba as a Continual Learner: Meta-learning Selective State Space Models for Efficient Continual Learning Efficient transformers: A survey

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-12T05:06:54.076733Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d5ed712d-f4c3-4910-b5e1-33ad63f8ba96 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

Learning Mamba as a Continual Learner: Meta-learning Selective State Space Models for Efficient Continual Learning LLaMA: Open and Efficient Foundation Language Models

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-12T05:06:54.081183Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ad95e778-2b3b-462e-a5ba-aca80952bbd6 · outbound

This paper cites The caltech-ucsd birds-200-2011 dataset.

Learning Mamba as a Continual Learner: Meta-learning Selective State Space Models for Efficient Continual Learning The caltech-ucsd birds-200-2011 dataset

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:06:54.630000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9ff4c232-2881-4a73-97db-e67510583a7b · outbound

This paper cites Self-Expansion of Pre-trained Models with Mixture of Adapters for Continual Learning.

Learning Mamba as a Continual Learner: Meta-learning Selective State Space Models for Efficient Continual Learning Self-Expansion of Pre-trained Models with Mixture of Adapters for Continual Learning

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-12T05:06:54.090309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bf8e605d-29df-4c36-b287-1c9a2df20861 · outbound

This paper cites A comprehensive survey of continual learning: theory, method and application.

Learning Mamba as a Continual Learner: Meta-learning Selective State Space Models for Efficient Continual Learning A comprehensive survey of continual learning: theory, method and application

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-12T05:06:54.095714Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bb4e1af4-e2da-4e63-abf1-63d297a06cea · outbound

This paper cites Attention is all you need.

Learning Mamba as a Continual Learner: Meta-learning Selective State Space Models for Efficient Continual Learning Attention is all you need

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:06:54.608224Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7c884a7b-3a6b-4f2a-9c67-33f265988b9c · outbound

This paper cites Meta continual learning revisited: Implicitly enhancing online hessian approximation via variance reduction.

Learning Mamba as a Continual Learner: Meta-learning Selective State Space Models for Efficient Continual Learning Meta continual learning revisited: Implicitly enhancing online hessian approximation via variance reduction

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:06:54.595450Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation fca747b0-e136-4a24-b39f-05c94291bf74 · outbound

This paper cites Der: Dynamically expandable representation for class incremental learning.

Learning Mamba as a Continual Learner: Meta-learning Selective State Space Models for Efficient Continual Learning Der: Dynamically expandable representation for class incremental learning

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:06:54.582316Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 978e7113-e491-4f89-ae0c-c529fb5ca0e3 · outbound

This paper cites Self-evolved dynamic expansion model for task-free continual learning.

Learning Mamba as a Continual Learner: Meta-learning Selective State Space Models for Efficient Continual Learning Self-evolved dynamic expansion model for task-free continual learning

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:06:54.568812Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5028c943-1c2c-4b45-b268-bf2e2fb305e7 · outbound

This paper cites Lifelong Learning with Dynamically Expandable Networks.

Learning Mamba as a Continual Learner: Meta-learning Selective State Space Models for Efficient Continual Learning Lifelong Learning with Dynamically Expandable Networks

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-12T05:06:54.117974Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation de1f9719-c5f7-4009-a050-81ea6efd7c2f · outbound

This paper cites Continual learning through synaptic intelligence.

Learning Mamba as a Continual Learner: Meta-learning Selective State Space Models for Efficient Continual Learning Continual learning through synaptic intelligence

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-12T05:06:54.122853Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8c038022-5ba3-4b98-ac7a-d7d924e3eeec · outbound

This paper cites Class-incremental learning via deep model consolidation.

Learning Mamba as a Continual Learner: Meta-learning Selective State Space Models for Efficient Continual Learning Class-incremental learning via deep model consolidation

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:06:54.548457Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 472437a8-cd1c-48fe-bba2-c4bfbcac811d · outbound

This paper cites Motion Mamba: Efficient and Long Sequence Motion Generation.

Learning Mamba as a Continual Learner: Meta-learning Selective State Space Models for Efficient Continual Learning Motion Mamba: Efficient and Long Sequence Motion Generation

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-12T05:06:54.132414Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b1022706-03f2-463a-9528-f02a3d7770dc · outbound

This paper cites Class-Incremental Learning: A Survey.

Learning Mamba as a Continual Learner: Meta-learning Selective State Space Models for Efficient Continual Learning Class-Incremental Learning: A Survey

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-12T05:06:54.137537Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fb16be8f-6c92-4a60-a28c-f9b2108c5039 · outbound

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

Learning Mamba as a Continual Learner: Meta-learning Selective State Space Models for Efficient Continual Learning Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-12T05:06:54.142826Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation e4f4e9fe-27af-405c-9604-efca320699b2 · inbound

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

Exemplar-Free Continual Learning for State Space Models Learning Mamba as a Continual Learner: Meta-learning Selective State Space Models for Efficient Continual Learning

Reference 64

Resolution: verified exact; arxiv_id, observed 2026-05-19T13:32:19.482387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ba609101-6fd8-423d-acac-8477f5c18655 · inbound

Little by Little: Continual Learning via Incremental Mixture of Rank-1 Associative Memory Experts cites this paper.

Little by Little: Continual Learning via Incremental Mixture of Rank-1 Associative Memory Experts Learning Mamba as a Continual Learner: Meta-learning Selective State Space Models for Efficient Continual Learning

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T22:41:45.308287Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.