Paper Citation Record · LEDGER

The Future of Continual Learning in the Era of Foundation Models: Three Key Directions

As of 8 August 2026, this Paper Citation Record lists 100 of 136 outbound references and 6 inbound Pith citation observations for arXiv:2506.03320.

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

pith.paper-citation-record.v1
2506.03320 v1

Coverage vector

measured 100 of 136 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:10:17.779024Z

measured 106 of 106 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:24:13.423677Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

100 of 136 outbound references displayed

verified exact12
verified fuzzy0
unresolved87
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

1
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation a2fdaa01-cc2f-41e6-9326-9798e78ccc4f · outbound

This paper cites an unresolved cited work.

The Future of Continual Learning in the Era of Foundation Models: Three Key Directions Unresolved cited work

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T11:10:09.068621Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ba5fc9fb-2f53-4d67-8b83-313cd1596af5 · outbound

This paper cites Ditzler, M.

The Future of Continual Learning in the Era of Foundation Models: Three Key Directions Ditzler, M

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T11:10:09.126396Z

Source-reported events for the cited work

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Observation d8df6863-a9d8-4717-b464-7bdba857a1e4 · outbound

This paper cites Ring, Continual learning in reinforcement environments, 1994.

The Future of Continual Learning in the Era of Foundation Models: Three Key Directions Ring, Continual learning in reinforcement environments, 1994

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T11:10:09.236825Z

Source-reported events for the cited work

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Observation d2e59e8b-9743-4714-9e93-4a177f9ea795 · outbound

This paper cites Learning Task Grouping and Overlap in Multi-task Learning.

The Future of Continual Learning in the Era of Foundation Models: Three Key Directions Learning Task Grouping and Overlap in Multi-task Learning

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-08-07T11:10:19.526664Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1cc93bca-a41c-4836-95ff-4165ee92f8db · outbound

This paper cites Giannini, G.

The Future of Continual Learning in the Era of Foundation Models: Three Key Directions Giannini, G

Reference 5

Resolution: verified exact; raw_fallback, observed 2026-08-07T11:10:21.272627Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6303d24c-d966-4a5d-aad6-d3fdced5b235 · outbound

This paper cites an unresolved cited work.

The Future of Continual Learning in the Era of Foundation Models: Three Key Directions Unresolved cited work

Reference 6

Resolution: metadata mismatch; raw_fallback, observed 2026-08-07T11:10:21.058217Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation beebf5e9-fddf-4127-9beb-072ae669189e · outbound

This paper cites Cossu, A.

The Future of Continual Learning in the Era of Foundation Models: Three Key Directions Cossu, A

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T11:10:09.542942Z

Source-reported events for the cited work

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Observation ef416805-b854-41ca-a81a-d5e38c9821c6 · outbound

This paper cites Zheng, C.

The Future of Continual Learning in the Era of Foundation Models: Three Key Directions Zheng, C

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T11:10:09.600998Z

Source-reported events for the cited work

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Observation 2c331c91-631c-4af5-b869-baa82fe3d10c · outbound

This paper cites Continual Learning of Large Language Models: A Comprehensive Survey.

The Future of Continual Learning in the Era of Foundation Models: Three Key Directions Continual Learning of Large Language Models: A Comprehensive Survey

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T11:10:09.704815Z

Source-reported events for the cited work

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Observation 99db79bc-d671-49f2-bac1-a26efc17c224 · outbound

This paper cites an unresolved cited work.

The Future of Continual Learning in the Era of Foundation Models: Three Key Directions Unresolved cited work

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T11:10:09.794108Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6310c802-c7a1-40ab-8381-f9c268735b7d · outbound

This paper cites an unresolved cited work.

The Future of Continual Learning in the Era of Foundation Models: Three Key Directions Unresolved cited work

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T11:10:09.866948Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9b5d9c01-07f5-4ae2-aaea-e13f0222ef3c · outbound

This paper cites Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling.

The Future of Continual Learning in the Era of Foundation Models: Three Key Directions Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T11:10:09.955219Z

Source-reported events for the cited work

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Observation 35395a05-b826-4a49-a2c2-0eae3f057626 · outbound

This paper cites AgentRxiv: Towards Collaborative Autonomous Research.

The Future of Continual Learning in the Era of Foundation Models: Three Key Directions AgentRxiv: Towards Collaborative Autonomous Research

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T11:10:10.045902Z

Source-reported events for the cited work

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Observation ef30a27a-7db2-43eb-909b-733637cf11cc · outbound

This paper cites Human-in-the-Loop through Chain-of-Thought.

The Future of Continual Learning in the Era of Foundation Models: Three Key Directions Human-in-the-Loop through Chain-of-Thought

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T11:10:10.129617Z

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Observation c6c47498-c7b7-4d3a-8bad-b216f8489b36 · outbound

This paper cites LLM Post-Training: A Deep Dive into Reasoning Large Language Models.

The Future of Continual Learning in the Era of Foundation Models: Three Key Directions LLM Post-Training: A Deep Dive into Reasoning Large Language Models

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T11:10:10.228992Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c1426546-18ab-45e2-ad5b-2cc4471c52f2 · outbound

This paper cites an unresolved cited work.

The Future of Continual Learning in the Era of Foundation Models: Three Key Directions Unresolved cited work

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T11:10:10.342890Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 630ee7fa-7e2b-489f-a085-bc469b8e36bd · outbound

This paper cites an unresolved cited work.

The Future of Continual Learning in the Era of Foundation Models: Three Key Directions Unresolved cited work

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T11:10:10.434820Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a125fac7-fe10-4d85-8417-d80ec08f9b94 · outbound

This paper cites Continual Learning for Robotics: Definition, Framework, Learning Strategies, Opportunities and Challenges.

The Future of Continual Learning in the Era of Foundation Models: Three Key Directions Continual Learning for Robotics: Definition, Framework, Learning Strategies, Opportunities and Challenges

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-08-07T11:10:19.337316Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7b31d0d9-e24d-4395-9add-5b043a04bb37 · outbound

This paper cites McCloskey, N.

The Future of Continual Learning in the Era of Foundation Models: Three Key Directions McCloskey, N

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T11:10:10.626154Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bf571755-0165-45a0-bfff-86775a0d3676 · outbound

This paper cites Ratcliff, Connectionist models of recognition memory: constraints imposed by learning and forgetting functions., Psychological review 97 (1990) 285.

The Future of Continual Learning in the Era of Foundation Models: Three Key Directions Ratcliff, Connectionist models of recognition memory: constraints imposed by learning and forgetting functions., Psychological review 97 (1990) 285

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T11:10:10.692644Z

Source-reported events for the cited work

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Observation dbcaedc3-4a9c-4c99-8762-d475364414c4 · outbound

This paper cites an unresolved cited work.

The Future of Continual Learning in the Era of Foundation Models: Three Key Directions Unresolved cited work

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T11:10:10.835939Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e6237efb-3e9e-4c30-87ae-e8c1bab77891 · outbound

This paper cites An Empirical Investigation of Catastrophic Forgetting in Gradient-Based Neural Networks.

The Future of Continual Learning in the Era of Foundation Models: Three Key Directions An Empirical Investigation of Catastrophic Forgetting in Gradient-Based Neural Networks

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T11:10:10.932626Z

Source-reported events for the cited work

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Observation 8b838228-1218-4ff1-b4cd-a6e229a7b264 · outbound

This paper cites Learning without Forgetting.

The Future of Continual Learning in the Era of Foundation Models: Three Key Directions Learning without Forgetting

Reference 23

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation de395f95-aaef-4230-869d-60a42899370f · outbound

This paper cites Overcoming catastrophic forgetting in neural networks.

The Future of Continual Learning in the Era of Foundation Models: Three Key Directions Overcoming catastrophic forgetting in neural networks

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T11:10:11.119140Z

Source-reported events for the cited work

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Observation 9d496273-1c5e-46f0-ac03-beb270357335 · outbound

This paper cites an unresolved cited work.

The Future of Continual Learning in the Era of Foundation Models: Three Key Directions Unresolved cited work

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T11:10:11.211461Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 74e9169c-8dfc-4d90-9007-a14709031240 · outbound

This paper cites Wickramasinghe, G.

The Future of Continual Learning in the Era of Foundation Models: Three Key Directions Wickramasinghe, G

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T11:10:11.309799Z

Source-reported events for the cited work

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Observation 08bc9d63-e490-40ac-9db5-e8d13b9f1e44 · outbound

This paper cites Continual Learning Through Synaptic Intelligence.

The Future of Continual Learning in the Era of Foundation Models: Three Key Directions Continual Learning Through Synaptic Intelligence

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T11:10:11.389429Z

Source-reported events for the cited work

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Observation b5234096-693f-4bcf-98de-609cb1f026cd · outbound

This paper cites Progressive Neural Networks.

The Future of Continual Learning in the Era of Foundation Models: Three Key Directions Progressive Neural Networks

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T11:10:11.487863Z

Source-reported events for the cited work

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Observation 1e3293f7-faa4-46ae-a36c-40e9b8d32e9a · outbound

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

The Future of Continual Learning in the Era of Foundation Models: Three Key Directions PackNet: Adding Multiple Tasks to a Single Network by Iterative Pruning

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T11:10:11.568409Z

Source-reported events for the cited work

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Observation bfd3a799-d4b5-4e4b-b98b-336ced75329d · outbound

This paper cites Piggyback: Adapting a Single Network to Multiple Tasks by Learning to Mask Weights.

The Future of Continual Learning in the Era of Foundation Models: Three Key Directions Piggyback: Adapting a Single Network to Multiple Tasks by Learning to Mask Weights

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T11:10:11.667535Z

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Observation 2ae39cb0-81da-4317-96d8-c591459f7d9b · outbound

This paper cites The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks.

The Future of Continual Learning in the Era of Foundation Models: Three Key Directions The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T11:10:11.782443Z

Source-reported events for the cited work

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Observation b17ab35d-2bf5-41fd-8111-5a7e04280c75 · outbound

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

The Future of Continual Learning in the Era of Foundation Models: Three Key Directions Overcoming catastrophic forgetting with hard attention to the task

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-07T11:10:11.849166Z

Source-reported events for the cited work

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Observation 870e0fb6-eabc-4900-a7e1-2e043a2ab72c · outbound

This paper cites Wortsman, V.

The Future of Continual Learning in the Era of Foundation Models: Three Key Directions Wortsman, V

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T11:10:11.945742Z

Source-reported events for the cited work

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Observation 494d3327-6381-42a5-a6a8-04f35735dfd2 · outbound

This paper cites Prabhu, P.

The Future of Continual Learning in the Era of Foundation Models: Three Key Directions Prabhu, P

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-07T11:10:12.034845Z

Source-reported events for the cited work

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Observation ff55de73-1ca5-4ed5-a080-5a27f63f925b · outbound

This paper cites Gradient Episodic Memory for Continual Learning.

The Future of Continual Learning in the Era of Foundation Models: Three Key Directions Gradient Episodic Memory for Continual Learning

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-07T11:10:12.079821Z

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Observation 92e2c542-f3e8-4b6b-9cc6-0b92511e1f65 · outbound

This paper cites iCaRL: Incremental Classifier and Representation Learning.

The Future of Continual Learning in the Era of Foundation Models: Three Key Directions iCaRL: Incremental Classifier and Representation Learning

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-07T11:10:12.140377Z

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Observation 37f0635f-8b91-4ca8-95c9-95437ff409eb · outbound

This paper cites Latent Replay for Real-Time Continual Learning.

The Future of Continual Learning in the Era of Foundation Models: Three Key Directions Latent Replay for Real-Time Continual Learning

Reference 37

Resolution: verified exact; local_arxiv, observed 2026-08-07T11:10:18.966165Z

Source-reported events for the cited work

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Observation 11affbb8-3301-42db-af62-0bdb3fddbaca · outbound

This paper cites Graffieti, D.

The Future of Continual Learning in the Era of Foundation Models: Three Key Directions Graffieti, D

Reference 38

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Observation a29708b0-c6a9-47fb-b55f-f045ab52b29a · outbound

This paper cites Three scenarios for continual learning.

The Future of Continual Learning in the Era of Foundation Models: Three Key Directions Three scenarios for continual learning

Reference 39

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Observation 42a7ae28-5780-49a4-a35c-3f0b6edb0431 · outbound

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

The Future of Continual Learning in the Era of Foundation Models: Three Key Directions BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 40

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Observation 913fa12f-24f5-4e54-9de7-0469dbaf6d59 · outbound

This paper cites Language Models are Few-Shot Learners.

The Future of Continual Learning in the Era of Foundation Models: Three Key Directions Language Models are Few-Shot Learners

Reference 41

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Observation fe7cb91b-c903-4ba3-9ffd-5091c60b61d7 · outbound

This paper cites Learning Transferable Visual Models From Natural Language Supervision.

The Future of Continual Learning in the Era of Foundation Models: Three Key Directions Learning Transferable Visual Models From Natural Language Supervision

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-07T11:10:12.692057Z

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Observation f64ab011-fd3d-4647-8b8f-be33ba3c4e6b · outbound

This paper cites On the Opportunities and Risks of Foundation Models.

The Future of Continual Learning in the Era of Foundation Models: Three Key Directions On the Opportunities and Risks of Foundation Models

Reference 43

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Observation d579237f-6aa3-460f-bd50-0ecf3bccee34 · outbound

This paper cites an unresolved cited work.

The Future of Continual Learning in the Era of Foundation Models: Three Key Directions Unresolved cited work

Reference 44

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Observation 10cafd29-8a62-4a20-86d4-004e2d61f10b · outbound

This paper cites an unresolved cited work.

The Future of Continual Learning in the Era of Foundation Models: Three Key Directions Unresolved cited work

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-07T11:10:12.933218Z

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Observation 03af9deb-d44e-46f0-b20c-af44714c3dde · outbound

This paper cites Plaat, A.

The Future of Continual Learning in the Era of Foundation Models: Three Key Directions Plaat, A

Reference 46

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Observation 1411231d-fed6-4808-b969-d7daa18b313e · outbound

This paper cites Training Compute-Optimal Large Language Models.

The Future of Continual Learning in the Era of Foundation Models: Three Key Directions Training Compute-Optimal Large Language Models

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-07T11:10:13.083799Z

Source-reported events for the cited work

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Observation fd4d7f47-b9d7-46bd-8184-3bb7bb3d4757 · outbound

This paper cites Schwartz, J.

The Future of Continual Learning in the Era of Foundation Models: Three Key Directions Schwartz, J

Reference 48

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Observation 3c3f86f9-3c7f-4845-a09f-ca894c15b204 · outbound

This paper cites Strubell, A.

The Future of Continual Learning in the Era of Foundation Models: Three Key Directions Strubell, A

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-07T11:10:13.224307Z

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Observation ad360967-1a8c-4ff3-9fb6-f405d9ef5e9f · outbound

This paper cites Personalisation within bounds: A risk taxonomy and policy framework for the alignment of large language models with personalised feedback.

The Future of Continual Learning in the Era of Foundation Models: Three Key Directions Personalisation within bounds: A risk taxonomy and policy framework for the alignment of large language models with personalised feedback

Reference 50

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Observation 8299b408-c8ae-4ab0-ad0f-c63107490526 · outbound

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The Future of Continual Learning in the Era of Foundation Models: Three Key Directions Unresolved cited work

Reference 51

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Observation 425e1c3f-f035-4f66-b6cd-1ff9eb67b689 · outbound

This paper cites an unresolved cited work.

The Future of Continual Learning in the Era of Foundation Models: Three Key Directions Unresolved cited work

Reference 52

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Observation ab64073f-7016-4037-9e6c-d0a3953dd58f · outbound

This paper cites Pedreschi, L.

The Future of Continual Learning in the Era of Foundation Models: Three Key Directions Pedreschi, L

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-07T11:10:13.553920Z

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Observation c3a7b1be-56bb-4a4f-9f44-43ea3a43b19a · outbound

This paper cites Raheja, N.

The Future of Continual Learning in the Era of Foundation Models: Three Key Directions Raheja, N

Reference 54

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Observation 96fb4501-fa58-4334-a863-341cbc40c55e · outbound

This paper cites HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in Hugging Face.

The Future of Continual Learning in the Era of Foundation Models: Three Key Directions HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in Hugging Face

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-07T11:10:13.742551Z

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Observation 45917741-758c-443e-808a-b5bd63e6c317 · outbound

This paper cites A Practitioner's Guide to Continual Multimodal Pretraining.

The Future of Continual Learning in the Era of Foundation Models: Three Key Directions A Practitioner's Guide to Continual Multimodal Pretraining

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-07T11:10:13.823061Z

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Observation 2fe7f334-5c58-4c78-9f4b-3d3707652ea4 · outbound

This paper cites Küchemann, K.

The Future of Continual Learning in the Era of Foundation Models: Three Key Directions Küchemann, K

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-07T11:10:13.902090Z

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Observation 0ba2a79d-b21d-4a9d-89a8-fe423663e858 · outbound

This paper cites Reuse, Don't Retrain: A Recipe for Continued Pretraining of Language Models.

The Future of Continual Learning in the Era of Foundation Models: Three Key Directions Reuse, Don't Retrain: A Recipe for Continued Pretraining of Language Models

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-07T11:10:13.994336Z

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Observation 09fc50f1-6d4e-4f6d-bd12-59d0de6a5e52 · outbound

This paper cites an unresolved cited work.

The Future of Continual Learning in the Era of Foundation Models: Three Key Directions Unresolved cited work

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-07T11:10:14.059762Z

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Observation eabb744f-5319-4f01-a3bc-3600a4bb2a57 · outbound

This paper cites Golatkar, A.

The Future of Continual Learning in the Era of Foundation Models: Three Key Directions Golatkar, A

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Reference 61

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The Future of Continual Learning in the Era of Foundation Models: Three Key Directions Unresolved cited work

Reference 62

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Reference 63

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This paper cites Brinner, T.

The Future of Continual Learning in the Era of Foundation Models: Three Key Directions Brinner, T

Reference 64

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This paper cites Examining Forgetting in Continual Pre-training of Aligned Large Language Models.

The Future of Continual Learning in the Era of Foundation Models: Three Key Directions Examining Forgetting in Continual Pre-training of Aligned Large Language Models

Reference 65

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The Future of Continual Learning in the Era of Foundation Models: Three Key Directions Unresolved cited work

Reference 66

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This paper cites Continual Learning for Large Language Models: A Survey.

The Future of Continual Learning in the Era of Foundation Models: Three Key Directions Continual Learning for Large Language Models: A Survey

Reference 67

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Observation 414fc0d7-7eca-474b-98a1-a59d520d7620 · outbound

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The Future of Continual Learning in the Era of Foundation Models: Three Key Directions Unresolved cited work

Reference 68

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Observation 6d326562-288c-4f81-9536-0e1480f6fc2c · outbound

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The Future of Continual Learning in the Era of Foundation Models: Three Key Directions Zhang, L

Reference 69

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The Future of Continual Learning in the Era of Foundation Models: Three Key Directions Investigating Continual Pretraining in Large Language Models: Insights and Implications

Reference 70

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Observation a42defd7-f98c-40cd-839d-3fa84c799b59 · outbound

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The Future of Continual Learning in the Era of Foundation Models: Three Key Directions Efficient Continual Pre-training by Mitigating the Stability Gap

Reference 71

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Reference 72

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The Future of Continual Learning in the Era of Foundation Models: Three Key Directions Mendieta, B

Reference 73

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The Future of Continual Learning in the Era of Foundation Models: Three Key Directions Unresolved cited work

Reference 74

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Observation 98a2290a-dceb-42f0-b912-6593845dd1a2 · outbound

This paper cites an unresolved cited work.

The Future of Continual Learning in the Era of Foundation Models: Three Key Directions Unresolved cited work

Reference 75

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The Future of Continual Learning in the Era of Foundation Models: Three Key Directions Ostapenko, T

Reference 76

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This paper cites Parameter-Efficient Transfer Learning for NLP.

The Future of Continual Learning in the Era of Foundation Models: Three Key Directions Parameter-Efficient Transfer Learning for NLP

Reference 77

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The Future of Continual Learning in the Era of Foundation Models: Three Key Directions LoRA: Low-Rank Adaptation of Large Language Models

Reference 78

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The Future of Continual Learning in the Era of Foundation Models: Three Key Directions Exploring Continual Fine-Tuning for Enhancing Language Ability in Large Language Model

Reference 79

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Observation e3094167-1ae6-49fd-b1a3-d6bd4af8f14b · outbound

This paper cites Learning to Continually Learn.

The Future of Continual Learning in the Era of Foundation Models: Three Key Directions Learning to Continually Learn

Reference 80

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Observation c276130c-c350-485b-8993-2f0ce0f06f5f · outbound

This paper cites Zhang, L.

The Future of Continual Learning in the Era of Foundation Models: Three Key Directions Zhang, L

Reference 81

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The Future of Continual Learning in the Era of Foundation Models: Three Key Directions FATE-LLM: A Industrial Grade Federated Learning Framework for Large Language Models

Reference 82

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The Future of Continual Learning in the Era of Foundation Models: Three Key Directions Fisher Information-based Efficient Curriculum Federated Learning with Large Language Models

Reference 83

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Observation 32237c00-fbaa-444d-a3d5-b7c5cded07dd · outbound

This paper cites Soutif-Cormerais, A.

The Future of Continual Learning in the Era of Foundation Models: Three Key Directions Soutif-Cormerais, A

Reference 84

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The Future of Continual Learning in the Era of Foundation Models: Three Key Directions Unresolved cited work

Reference 85

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The Future of Continual Learning in the Era of Foundation Models: Three Key Directions Privacy in Fine-tuning Large Language Models: Attacks, Defenses, and Future Directions

Reference 86

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Observation 01498368-09fc-4044-9b29-725b4e071ddc · outbound

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The Future of Continual Learning in the Era of Foundation Models: Three Key Directions Learning to Prompt for Continual Learning

Reference 87

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The Future of Continual Learning in the Era of Foundation Models: Three Key Directions CODA-Prompt: COntinual Decomposed Attention-based Prompting for Rehearsal-Free Continual Learning

Reference 88

Resolution: verified exact; local_arxiv, observed 2026-08-07T11:10:20.236771Z

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Observation 2bf12ec6-f405-4bdd-86b1-9a75f2076f95 · outbound

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The Future of Continual Learning in the Era of Foundation Models: Three Key Directions Unresolved cited work

Reference 89

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Observation 4c20ffd6-5180-49da-bc41-5784ec6ccb55 · outbound

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The Future of Continual Learning in the Era of Foundation Models: Three Key Directions Adapter Learning in Pretrained Feature Extractor for Continual Learning of Diseases

Reference 90

Resolution: verified exact; local_arxiv, observed 2026-08-07T11:10:20.087528Z

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Observation 836a3a51-4a86-4bea-b7f2-e7227cbbca26 · outbound

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The Future of Continual Learning in the Era of Foundation Models: Three Key Directions Beyond Prompt Learning: Continual Adapter for Efficient Rehearsal-Free Continual Learning

Reference 91

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Observation 4f9a4066-6483-42c9-ae51-cb3ea5a270c7 · outbound

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The Future of Continual Learning in the Era of Foundation Models: Three Key Directions TIES-Merging: Resolving Interference When Merging Models

Reference 92

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The Future of Continual Learning in the Era of Foundation Models: Three Key Directions Language Models are Super Mario: Absorbing Abilities from Homologous Models as a Free Lunch

Reference 93

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The Future of Continual Learning in the Era of Foundation Models: Three Key Directions MagMax: Leveraging Model Merging for Seamless Continual Learning

Reference 94

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Observation fd7ad55a-d8f1-4f92-9a96-f9a8c39bf8e6 · outbound

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The Future of Continual Learning in the Era of Foundation Models: Three Key Directions Representation Surgery for Multi-Task Model Merging

Reference 95

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Observation c645121b-1237-4eef-8b84-2b6963ebc2e9 · outbound

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The Future of Continual Learning in the Era of Foundation Models: Three Key Directions Unresolved cited work

Reference 96

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Observation 7cf68414-0a11-4923-9858-b39b9c73ce15 · outbound

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The Future of Continual Learning in the Era of Foundation Models: Three Key Directions Unresolved cited work

Reference 97

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The Future of Continual Learning in the Era of Foundation Models: Three Key Directions AutoLoRA: Automatically Tuning Matrix Ranks in Low-Rank Adaptation Based on Meta Learning

Reference 98

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The Future of Continual Learning in the Era of Foundation Models: Three Key Directions Unresolved cited work

Reference 99

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The Future of Continual Learning in the Era of Foundation Models: Three Key Directions FedRewind: Rewinding Continual Model Exchange for Decentralized Federated Learning

Reference 100

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Pith citing papers

Observation 4e10dd79-8db7-4f54-b2a7-c6a6e04458d1 · inbound

A Compositional Paradigm for Foundation Models: Towards Smarter Robotic Agents cites this paper.

A Compositional Paradigm for Foundation Models: Towards Smarter Robotic Agents The Future of Continual Learning in the Era of Foundation Models: Three Key Directions

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ANNEAL: Adapting LLM Agents via Governed Symbolic Patch Learning The Future of Continual Learning in the Era of Foundation Models: Three Key Directions

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PMF-CL: Pareto-Minimal-Forgetting Continual Learner for Conflicting Tasks The Future of Continual Learning in the Era of Foundation Models: Three Key Directions

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Resolution: verified exact; arxiv_id, observed 2026-05-20T11:58:15.371810Z

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Observation 99a5cae7-f0ab-4054-9fd0-968894740eb0 · inbound

PMF-CL: Pareto-Minimal-Forgetting Continual Learner for Conflicting Tasks cites this paper.

PMF-CL: Pareto-Minimal-Forgetting Continual Learner for Conflicting Tasks The Future of Continual Learning in the Era of Foundation Models: Three Key Directions

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Resolution: verified exact; arxiv_id, observed 2026-06-30T18:14:59.787509Z

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Observation 9be269c0-1a86-4e7e-90a4-81f661b943c9 · inbound

Lifelong Representations: A Survey on Continual Self-Supervised Learning for Vision Models cites this paper.

Lifelong Representations: A Survey on Continual Self-Supervised Learning for Vision Models The Future of Continual Learning in the Era of Foundation Models: Three Key Directions

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Observation a507f3e0-295c-4126-9b56-04f5e3e5af52 · inbound

Continual Learning in Transition cites this paper.

Continual Learning in Transition The Future of Continual Learning in the Era of Foundation Models: Three Key Directions

Reference 190

Resolution: unresolved; no resolver link, observed 2026-08-07T12:24:13.423677Z

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Unavailable: canonical work link unavailable.