Continual Learning in Transition | Paper Citation Record

Observation a086feb9-9001-4f2b-a25b-30673fb55c3c · outbound

This paper cites GPT-4 Technical Report.

Continual Learning in Transition GPT-4 Technical Report

Reference 1

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Observation a3168f7b-c16b-4c34-b3d8-394af4a57c80 · outbound

This paper cites ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools.

Continual Learning in Transition ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T12:23:55.949386Z

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Observation b32bce40-aca6-456c-be5b-ccf8ada52e45 · outbound

This paper cites Qwen Technical Report.

Continual Learning in Transition Qwen Technical Report

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T12:23:56.041993Z

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Observation 27de2026-da01-4b59-8860-64dacbb67698 · outbound

This paper cites DeepSeek-R1 incentivizes reasoning in LLMs through reinforce- ment learning.Nature, 645:633–638, 2025.

Continual Learning in Transition DeepSeek-R1 incentivizes reasoning in LLMs through reinforce- ment learning.Nature, 645:633–638, 2025

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T12:23:56.160890Z

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Observation 5828c8e3-2003-410a-adef-e4e7edb38680 · outbound

This paper cites Kimi K2.5: Visual Agentic Intelligence.

Continual Learning in Transition Kimi K2.5: Visual Agentic Intelligence

Reference 5

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Observation 3d18f883-d026-492a-beef-fc7b55f5866c · outbound

This paper cites GLM-4.5: Agentic, Reasoning, and Coding (ARC) Foundation Models.

Continual Learning in Transition GLM-4.5: Agentic, Reasoning, and Coding (ARC) Foundation Models

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T12:23:56.454414Z

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Observation a041e281-d498-40e8-903f-e2b4a8227331 · outbound

This paper cites GLM-5: from Vibe Coding to Agentic Engineering.

Continual Learning in Transition GLM-5: from Vibe Coding to Agentic Engineering

Reference 7

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Observation 1c19941d-2112-4c66-9859-b15dd7b03022 · outbound

This paper cites ReST-MCTS*: LLM self- training via process-reward-guided tree search.

Continual Learning in Transition ReST-MCTS*: LLM self- training via process-reward-guided tree search

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T12:23:56.743078Z

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Observation ccc52d7c-a965-4c63-925c-eb2d98a2901d · outbound

This paper cites TDRM: Smooth reward models with temporal difference for LLM RL and inference, 2025.

Continual Learning in Transition TDRM: Smooth reward models with temporal difference for LLM RL and inference, 2025

Reference 9

Resolution: verified exact; raw_fallback, observed 2026-08-07T12:24:15.834479Z

Source-reported events for the cited work

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Observation d6f58a78-07b7-4087-9e46-9547b07c6fd2 · outbound

This paper cites ReST-RL: Achieving Accurate Code Reasoning of LLMs with Optimized Self-Training and Decoding.

Continual Learning in Transition ReST-RL: Achieving Accurate Code Reasoning of LLMs with Optimized Self-Training and Decoding

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T12:23:56.891313Z

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Observation 0d81b20b-ad93-434b-aa69-6decec30d735 · outbound

This paper cites SceneGenAgent: Precise Industrial Scene Generation with Coding Agent.

Continual Learning in Transition SceneGenAgent: Precise Industrial Scene Generation with Coding Agent

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-08-07T12:24:15.623972Z

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Observation c1494071-7263-4bf0-a58b-790901473e8e · outbound

This paper cites MEMORYLLM: Towards Self-Updatable Large Language Models.

Continual Learning in Transition MEMORYLLM: Towards Self-Updatable Large Language Models

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T12:23:57.046101Z

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Observation 35c71bf5-1083-470c-bddb-664554c40540 · outbound

This paper cites Voyager: An Open-Ended Embodied Agent with Large Language Models.

Continual Learning in Transition Voyager: An Open-Ended Embodied Agent with Large Language Models

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T12:23:57.106462Z

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Observation bbb54716-99d8-4e64-abd4-51272961dd5a · outbound

This paper cites Reflexion: Language agents with verbal reinforcement learning, 2023.

Continual Learning in Transition Reflexion: Language agents with verbal reinforcement learning, 2023

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T12:23:57.214540Z

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Observation 4849a5d7-86da-4f3c-a9d0-ebba8114173b · outbound

This paper cites MemGPT: Towards LLMs as Operating Systems.

Continual Learning in Transition MemGPT: Towards LLMs as Operating Systems

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T12:23:57.286582Z

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Observation a4b2af24-3c4e-49ad-9494-12bdd0b44a93 · outbound

This paper cites MemoryBank: Enhancing Large Language Models with Long-Term Memory.

Continual Learning in Transition MemoryBank: Enhancing Large Language Models with Long-Term Memory

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T12:23:57.385313Z

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Observation ca65fa84-61f6-43bd-9c32-f19010acdab6 · outbound

This paper cites AgentEvolver: Towards efficient self-evolving agent system, 2025.

Continual Learning in Transition AgentEvolver: Towards efficient self-evolving agent system, 2025

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T12:23:57.450650Z

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Observation d672c99b-680a-4a56-885f-46c8b88db5bb · outbound

This paper cites Catastrophic interference in connectionist networks: The sequential learning problem.

Continual Learning in Transition Catastrophic interference in connectionist networks: The sequential learning problem

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T12:23:57.535621Z

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Observation 67c5a7c1-5819-4fa6-94a7-c23485513dab · outbound

This paper cites Towards continual reinforcement learning: A review and perspectives.Journal of Artificial Intelligence Research, 75:1401–1476, 2022.

Continual Learning in Transition Towards continual reinforcement learning: A review and perspectives.Journal of Artificial Intelligence Research, 75:1401–1476, 2022

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T12:23:57.662594Z

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Observation 9c53dd54-7c89-4b38-973d-c2acaefc40f0 · outbound

This paper cites A Comprehensive Survey of Continual Learning: Theory, Method and Application.

Continual Learning in Transition A Comprehensive Survey of Continual Learning: Theory, Method and Application

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T12:23:57.728002Z

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Observation 2e8f8ff6-b6dc-471e-a402-a339a2980f05 · outbound

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

Continual Learning in Transition Continual Learning for Large Language Models: A Survey

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T12:23:57.796801Z

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Observation 29515515-4ca4-4c0f-9cd2-b5c21b23d969 · outbound

This paper cites Training language models to follow instructions with human feedback.Advances in Neural Information Processing Systems, 35:27730–27744, 2022.

Continual Learning in Transition Training language models to follow instructions with human feedback.Advances in Neural Information Processing Systems, 35:27730–27744, 2022

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T12:23:57.870320Z

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Observation 0c7bcd99-5360-4260-b124-a510593d17da · outbound

This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

Continual Learning in Transition DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T12:23:57.965573Z

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Observation 91c32b69-b246-442b-8802-be4c4b3b595e · outbound

This paper cites RL’s razor: Why online reinforcement learning forgets less,.

Continual Learning in Transition RL’s razor: Why online reinforcement learning forgets less,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T12:23:58.039841Z

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Observation 39b7433e-f8ab-4d7b-b79d-dbdc1818fe97 · outbound

This paper cites On-Policy Distillation of Language Models: Learning from Self-Generated Mistakes.

Continual Learning in Transition On-Policy Distillation of Language Models: Learning from Self-Generated Mistakes

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T12:23:58.175658Z

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Observation df64bea0-aef2-4ecb-a0b0-03a1f8bb6485 · outbound

This paper cites Self-distillation enables continual learning,.

Continual Learning in Transition Self-distillation enables continual learning,

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T12:23:58.244513Z

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Observation 71ad117f-0360-4945-a6c0-165d6e082e94 · outbound

This paper cites Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities.

Continual Learning in Transition Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T12:23:58.404831Z

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Observation d9428f13-0b7b-4c7f-976d-f3548ea15244 · outbound

This paper cites Fine-Tuning Language Models with Just Forward Passes.

Continual Learning in Transition Fine-Tuning Language Models with Just Forward Passes

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T12:23:58.470982Z

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Observation 663500d6-2451-473b-9759-a02a22cb444c · outbound

This paper cites Learning beyond gradients.

Continual Learning in Transition Learning beyond gradients

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T12:23:58.538584Z

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Observation 4ab6b483-e09e-4374-bf62-a298c299340e · outbound

This paper cites Prompt- breeder: Self-referential self-improvement via prompt evolution, 2023.

Continual Learning in Transition Prompt- breeder: Self-referential self-improvement via prompt evolution, 2023

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T12:23:58.617698Z

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Observation dcf11715-5b47-43cc-9d15-2ae1f86f4a12 · outbound

This paper cites Tent: Fully Test-time Adaptation by Entropy Minimization.

Continual Learning in Transition Tent: Fully Test-time Adaptation by Entropy Minimization

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T12:23:58.685565Z

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Observation 6b41a975-3636-44f8-b0d9-81b25265478f · outbound

This paper cites Learning to (learn at test time): RNNs with expressive hidden states.

Continual Learning in Transition Learning to (learn at test time): RNNs with expressive hidden states

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-07T12:23:58.754740Z

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Observation 3d6fe45c-3862-4e19-90ac-0998ee735e79 · outbound

This paper cites Externalization in LLM Agents: A Unified Review of Memory, Skills, Protocols and Harness Engineering.

Continual Learning in Transition Externalization in LLM Agents: A Unified Review of Memory, Skills, Protocols and Harness Engineering

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T12:23:58.820184Z

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Observation d34e0bd3-94e4-4d7e-8769-f51342e7a26d · outbound

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

Continual Learning in Transition An Empirical Investigation of Catastrophic Forgetting in Gradient-Based Neural Networks

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-07T12:23:58.889158Z

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Observation 9a79d460-e61a-4cec-91fe-1e46a0fca575 · outbound

This paper cites icarl: Incremental classifier and representation learning.

Continual Learning in Transition icarl: Incremental classifier and representation learning

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-07T12:23:58.963961Z

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Observation 9298bca4-c299-4cd3-817a-21f539edd278 · outbound

This paper cites Experience replay for continual learning.Advances in neural information processing systems, 32, 2019.

Continual Learning in Transition Experience replay for continual learning.Advances in neural information processing systems, 32, 2019

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-07T12:23:59.035847Z

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Observation b1c4df67-22e4-4879-9e84-be967d256d72 · outbound

This paper cites Infty engine: An optimization toolkit to support continual ai.GitHub repository, 2026.

Continual Learning in Transition Infty engine: An optimization toolkit to support continual ai.GitHub repository, 2026

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-07T12:23:59.115137Z

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Observation f15b780f-6e52-4820-995d-ccde78ffce39 · outbound

This paper cites Gradient episodic memory for continual learning.

Continual Learning in Transition Gradient episodic memory for continual learning

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-07T12:23:59.210343Z

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Observation fb6b5239-92b1-4023-b155-49b8eae4a71b · outbound

This paper cites Orthogonal gradient descent for continual learning.

Continual Learning in Transition Orthogonal gradient descent for continual learning

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-07T12:23:59.280502Z

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Observation a183a6a2-90fd-4a31-a67d-551a36b04c9b · outbound

This paper cites Make continual learning stronger via c-flat.Advances in Neural Information Processing Systems, 37: 7608–7630, 2024.

Continual Learning in Transition Make continual learning stronger via c-flat.Advances in Neural Information Processing Systems, 37: 7608–7630, 2024

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-07T12:23:59.364413Z

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Observation e03762d3-f9b1-4390-97e7-41124f1953eb · outbound

This paper cites A faster path to continual learning.

Continual Learning in Transition A faster path to continual learning

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-07T12:23:59.434986Z

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Observation 07469e33-953a-4ac3-ace0-1bf494901cba · outbound

This paper cites Rethinking the stability-plasticity trade-off in continual learning from an architectural perspective.ICML, 2025.

Continual Learning in Transition Rethinking the stability-plasticity trade-off in continual learning from an architectural perspective.ICML, 2025

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-07T12:23:59.507155Z

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Observation aadd07da-c19d-4ad4-85fa-bc11b3e0ddc9 · outbound

This paper cites Revisiting neural networks for continual learning: An architectural perspective.IJCAI, 2024.

Continual Learning in Transition Revisiting neural networks for continual learning: An architectural perspective.IJCAI, 2024

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-07T12:23:59.582658Z

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Observation 8b8ae0ed-a389-4096-b633-6043220e5583 · outbound

This paper cites Packnet: Adding multiple tasks to a single network by iterative pruning.

Continual Learning in Transition Packnet: Adding multiple tasks to a single network by iterative pruning

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-07T12:23:59.659278Z

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Observation 59ba7111-e3a9-4f35-a5b3-f3a0bc049814 · outbound

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

Continual Learning in Transition Overcoming catastrophic forgetting with hard attention to the task

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-07T12:23:59.721481Z

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Observation f34fa236-d6c7-450b-a6d5-2a5534cdd877 · outbound

This paper cites Progressive Neural Networks.

Continual Learning in Transition Progressive Neural Networks

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-07T12:23:59.826997Z

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Observation 47d18a91-aaec-464a-a672-72cfeafacdf3 · outbound

This paper cites Overcoming catastrophic forgetting in incremental object detection via elastic response distillation.

Continual Learning in Transition Overcoming catastrophic forgetting in incremental object detection via elastic response distillation

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-07T12:23:59.890559Z

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Observation 4c33d112-9409-4bae-baf3-906135b5f3bf · outbound

This paper cites Rusu, Kieran Milan, John Quan, Tiago Ramalho, Agnieszka Grabska-Barwinska, Demis Hassabis, Claudia Clopath, DharshanKumaran, andRaiaHadsell.

Continual Learning in Transition Rusu, Kieran Milan, John Quan, Tiago Ramalho, Agnieszka Grabska-Barwinska, Demis Hassabis, Claudia Clopath, DharshanKumaran, andRaiaHadsell

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-07T12:23:59.971052Z

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Observation f8aa660e-1405-4843-8b08-5a73e7c6d778 · outbound

This paper cites Continual learning through synaptic intelligence.

Continual Learning in Transition Continual learning through synaptic intelligence

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-07T12:24:00.035946Z

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Observation b50ab61f-8f5c-49ce-9f0b-9f0c3ad604f6 · outbound

This paper cites Memory Aware Synapses: Learning what (not) to forget.

Continual Learning in Transition Memory Aware Synapses: Learning what (not) to forget

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-07T12:24:00.104575Z

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Observation 94bd9f56-3a75-4049-aad6-5cd8cdbe5ea4 · outbound

This paper cites Learning without forgetting.IEEE transactions on pattern analysis and machine intelligence, 40(12):2935–2947, 2017.

Continual Learning in Transition Learning without forgetting.IEEE transactions on pattern analysis and machine intelligence, 40(12):2935–2947, 2017

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-07T12:24:00.164110Z

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Observation 15dc99fc-9770-442d-ba99-c3e8b7bf4550 · outbound

This paper cites Simple and Scalable Strategies to Continually Pre-train Large Language Models.

Continual Learning in Transition Simple and Scalable Strategies to Continually Pre-train Large Language Models

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-07T12:24:00.233555Z

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Observation 4a738086-964e-4629-8543-ffb74bf71caf · outbound

This paper cites Richter, Quentin Anthony, Eugene Belilovsky, Irina Rish, and Timothée Lesort.

Continual Learning in Transition Richter, Quentin Anthony, Eugene Belilovsky, Irina Rish, and Timothée Lesort

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-07T12:24:00.282197Z

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Observation 9990c7bd-4ecb-4d49-91de-8b683398fb09 · outbound

This paper cites Towards continual knowledge learning of language models.

Continual Learning in Transition Towards continual knowledge learning of language models

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-07T12:24:00.414609Z

Source-reported events for the cited work

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Observation ac715759-d239-43d1-9aba-e34c5d6b4343 · outbound

This paper cites ELLE: Efficient lifelong pre-training for emerging data.

Continual Learning in Transition ELLE: Efficient lifelong pre-training for emerging data

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-07T12:24:00.481923Z

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Observation 1cd9761b-abd8-499d-be45-479864f6c325 · outbound

This paper cites TimeLMs: Diachronic language models from twitter.

Continual Learning in Transition TimeLMs: Diachronic language models from twitter

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-07T12:24:00.549605Z

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Observation ef194a7d-33ba-4809-8043-33777f40cdd4 · outbound

This paper cites Large language model empowered recommendation meets all-domain continual pre-training.IEEE Transactions on Knowledge and Data Engineering, pages 1–14, 2026.

Continual Learning in Transition Large language model empowered recommendation meets all-domain continual pre-training.IEEE Transactions on Knowledge and Data Engineering, pages 1–14, 2026

Reference 57

Resolution: metadata mismatch; raw_fallback, observed 2026-08-07T12:24:15.094134Z

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 93213398-fd16-4fc4-9923-21217114f55c · outbound

This paper cites End- to-end test-time training for long context.arXiv preprint arXiv:2512.23675, 2025.

Continual Learning in Transition End- to-end test-time training for long context.arXiv preprint arXiv:2512.23675, 2025

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-07T12:24:00.694738Z

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Observation eb8f4ab8-e957-4ee9-845e-4210e86756f8 · outbound

This paper cites Titans: Learning to memorize at test time, 2025.

Continual Learning in Transition Titans: Learning to memorize at test time, 2025

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-07T12:24:00.762748Z

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Observation 5ef1e059-7749-41e8-bf7c-af8e7853358a · outbound

This paper cites Orthogonal subspace learning for language model continual learning.

Continual Learning in Transition Orthogonal subspace learning for language model continual learning

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-07T12:24:00.846843Z

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Observation b273c3f6-9ced-4287-8e57-6081f09a49b7 · outbound

This paper cites Progres- sive prompts: Continual learning for language models.

Continual Learning in Transition Progres- sive prompts: Continual learning for language models

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-07T12:24:00.932533Z

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Observation ce6dae2b-5941-4365-b07a-6810090871e7 · outbound

This paper cites LoRAMoE: Alleviating world knowledge forgetting in large language models via MoE-style plugin.

Continual Learning in Transition LoRAMoE: Alleviating world knowledge forgetting in large language models via MoE-style plugin

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-07T12:24:01.001460Z

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Observation 50ec8f39-657e-4ab7-ab57-aa047bc74fd0 · outbound

This paper cites SLIM: Let LLMs learn more and forget less with soft LoRA and identity mixture.

Continual Learning in Transition SLIM: Let LLMs learn more and forget less with soft LoRA and identity mixture

Reference 63

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Observation 81a7dd54-7470-44a4-8d2d-fd33e5827072 · outbound

This paper cites SAPT: A shared attention framework for parameter-efficient continual learning of large language models.

Continual Learning in Transition SAPT: A shared attention framework for parameter-efficient continual learning of large language models

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-07T12:24:01.141633Z

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Observation 9340e362-4139-4868-bc85-79ed27494a1e · outbound

This paper cites Rehearsal-free modular and compositional continual learning for language models.

Continual Learning in Transition Rehearsal-free modular and compositional continual learning for language models

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-07T12:24:01.215273Z

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Observation 16515c56-4f79-4f9c-bf31-d19d290a1035 · outbound

This paper cites InsCL: A data-efficient continual learning paradigm for fine-tuning large language models with instructions.

Continual Learning in Transition InsCL: A data-efficient continual learning paradigm for fine-tuning large language models with instructions

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-07T12:24:01.284601Z

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Observation 1c32be99-da50-41c9-af41-94e920374354 · outbound

This paper cites Mitigating catastrophic forgetting in large language models with self-synthesized rehearsal.

Continual Learning in Transition Mitigating catastrophic forgetting in large language models with self-synthesized rehearsal

Reference 67

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Observation 46896635-c248-4020-9e64-8c3b1396b817 · outbound

This paper cites SEEKR: Selective Attention-Guided Knowledge Retention for Continual Learning of Large Language Models.

Continual Learning in Transition SEEKR: Selective Attention-Guided Knowledge Retention for Continual Learning of Large Language Models

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-07T12:24:01.379622Z

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Observation 332988c2-13c3-4b61-9602-6cecf4b5fa7b · outbound

This paper cites AlphaEdit: Null-space constrained knowledge editing for language models.

Continual Learning in Transition AlphaEdit: Null-space constrained knowledge editing for language models

Reference 69

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Observation 69278eb6-a1b3-4f17-ac40-0519ca49c252 · outbound

This paper cites Norm anchors make model edits last, 2026.

Continual Learning in Transition Norm anchors make model edits last, 2026

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-07T12:24:01.505996Z

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Observation eefd7242-c73c-4245-838a-ce0ad08ec276 · outbound

This paper cites Yu, and Xiao-Ming Wu.

Continual Learning in Transition Yu, and Xiao-Ming Wu

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-07T12:24:01.582571Z

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Observation d1add47a-8e93-4a60-8011-4ba09550886f · outbound

This paper cites Dynamic cross-modal prompt generation for multimodal continual instruction tuning, 2026.

Continual Learning in Transition Dynamic cross-modal prompt generation for multimodal continual instruction tuning, 2026

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-07T12:24:01.636619Z

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Observation 9dc3e717-1762-432d-8b03-7373b086500a · outbound

This paper cites CRAM: Centroid-routing and adaptive MoE for multimodal continual instruction tuning, 2026.

Continual Learning in Transition CRAM: Centroid-routing and adaptive MoE for multimodal continual instruction tuning, 2026

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-07T12:24:01.681607Z

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Observation d193ccf5-2547-481e-acde-b1af2e540463 · outbound

This paper cites an unresolved cited work.

Continual Learning in Transition Unresolved cited work

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-07T12:24:01.758523Z

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Observation 2c3fd8f9-3ae1-4df7-b6c2-e057f8f47e0a · outbound

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Continual Learning in Transition Hidden forgetting in continual multimodal learning: When accuracy survives but grounding fails, 2026

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-07T12:24:01.810088Z

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Observation 40c715b1-4354-4360-b44e-90fdb7e4bed2 · outbound

This paper cites Rethinking continual experience internalization for self-evolving LLM agents, 2026.

Continual Learning in Transition Rethinking continual experience internalization for self-evolving LLM agents, 2026

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-07T12:24:01.855684Z

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Observation 7a4674fa-cff8-4b8d-81de-274f4b1328bd · outbound

This paper cites Language models need sleep: Learning to self-modify and consolidate memories, 2026.

Continual Learning in Transition Language models need sleep: Learning to self-modify and consolidate memories, 2026

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-07T12:24:01.910782Z

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Observation 8127b4fa-ec9d-4139-851c-74c2f2d66dc0 · outbound

This paper cites Peam: Parametric embodied agent memory through contrastive internalization of experience in minecraft, 2026.

Continual Learning in Transition Peam: Parametric embodied agent memory through contrastive internalization of experience in minecraft, 2026

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-07T12:24:01.989198Z

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Observation 1155cda4-c950-42ae-bb03-1f2ae78fbc2b · outbound

This paper cites Evolving-rl: End-to-end optimization of experience-driven self-evolving capability within agents, 2026.

Continual Learning in Transition Evolving-rl: End-to-end optimization of experience-driven self-evolving capability within agents, 2026

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-07T12:24:02.050267Z

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Observation de1307cd-d190-4dc9-be38-b73d1e192982 · outbound

This paper cites A-MEM: Agentic Memory for LLM Agents.

Continual Learning in Transition A-MEM: Agentic Memory for LLM Agents

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-07T12:24:02.110057Z

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Observation 209b7e98-fc8e-42c5-ba84-4261e8f7bbe8 · outbound

This paper cites HippoRAG: Neurobiologically inspired long-term memory for large language models.

Continual Learning in Transition HippoRAG: Neurobiologically inspired long-term memory for large language models

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-07T12:24:02.182840Z

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Observation 16ee35a1-e5f5-4719-b645-966c515bf206 · outbound

This paper cites ExpeL: LLM agents are experiential learners.

Continual Learning in Transition ExpeL: LLM agents are experiential learners

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-07T12:24:02.276585Z

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Observation 939306b4-f0d0-45f7-a14d-fd28713f15ef · outbound

This paper cites Agent workflow memory.

Continual Learning in Transition Agent workflow memory

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-07T12:24:02.357110Z

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Observation b6dd804d-d317-4919-bd0f-4f53f97d3095 · outbound

This paper cites Mem0: Building production- ready AI agents with scalable long-term memory, 2025.

Continual Learning in Transition Mem0: Building production- ready AI agents with scalable long-term memory, 2025

Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-07T12:24:02.423349Z

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Observation da1d0a0d-f3dd-42ca-8d18-bdc23be405a0 · outbound

This paper cites Towards scalable lifelong knowledge editing with selective knowledge suppression, 2026.

Continual Learning in Transition Towards scalable lifelong knowledge editing with selective knowledge suppression, 2026

Reference 85

Resolution: unresolved; no resolver link, observed 2026-08-07T12:24:02.479748Z

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Observation d8d4abda-4311-4816-82d3-349ea0ce068a · outbound

This paper cites Forget to improve: On-device LLM-agent continual learning via budget-curated memory, 2026.

Continual Learning in Transition Forget to improve: On-device LLM-agent continual learning via budget-curated memory, 2026

Reference 86

Resolution: unresolved; no resolver link, observed 2026-08-07T12:24:02.546403Z

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Observation 6da78fd9-aab6-4ffe-b2b1-addf0bc96a82 · outbound

This paper cites Collaborative multi-agent test-time reinforcement learning for reasoning, 2026.

Continual Learning in Transition Collaborative multi-agent test-time reinforcement learning for reasoning, 2026

Reference 87

Resolution: unresolved; no resolver link, observed 2026-08-07T12:24:02.614602Z

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Observation 1a00528d-99c8-4f20-8def-fc1a21df99a4 · outbound

This paper cites Aging with GRACE: Lifelong model editing with discrete key-value adaptors.

Continual Learning in Transition Aging with GRACE: Lifelong model editing with discrete key-value adaptors

Reference 88

Resolution: unresolved; no resolver link, observed 2026-08-07T12:24:02.681676Z

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Observation 09a92607-39f3-411d-94c3-44adce04decc · outbound

This paper cites WISE: Rethinking the knowledge memory for lifelong model editing of large language models.

Continual Learning in Transition WISE: Rethinking the knowledge memory for lifelong model editing of large language models

Reference 89

Resolution: unresolved; no resolver link, observed 2026-08-07T12:24:02.757564Z

Source-reported events for the cited work

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Observation f8923cc1-5db0-4688-839f-2254810ad8bf · outbound

This paper cites MemRL: Self-Evolving Agents via Runtime Reinforcement Learning on Episodic Memory.

Continual Learning in Transition MemRL: Self-Evolving Agents via Runtime Reinforcement Learning on Episodic Memory

Reference 90

Resolution: unresolved; no resolver link, observed 2026-08-07T12:24:02.834954Z

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Observation e0f0a8c9-fbc7-492c-99f6-d3e338afbd37 · outbound

This paper cites Pan, Hinrich Schütze, Volker Tresp, and Yunpu Ma.

Continual Learning in Transition Pan, Hinrich Schütze, Volker Tresp, and Yunpu Ma

Reference 91

Resolution: unresolved; no resolver link, observed 2026-08-07T12:24:02.921739Z

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Observation f836e2d7-6dde-4bd5-bbdf-c903e2c4bbdf · outbound

This paper cites Mem- α: Learning memory construction via reinforcement learning, 2025.

Continual Learning in Transition Mem- α: Learning memory construction via reinforcement learning, 2025

Reference 92

Resolution: unresolved; no resolver link, observed 2026-08-07T12:24:03.009454Z

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Observation 4781926c-d549-483c-80ff-88310e0553e5 · outbound

This paper cites Memory-R2: Fair credit assignment for long-horizon memory-augmented LLM agents, 2026.

Continual Learning in Transition Memory-R2: Fair credit assignment for long-horizon memory-augmented LLM agents, 2026

Reference 93

Resolution: unresolved; no resolver link, observed 2026-08-07T12:24:03.065529Z

Source-reported events for the cited work

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Observation 8dfccbbd-0c7a-4459-a207-221148305f78 · outbound

This paper cites MemBuilder: Reinforcing LLMs for long-term memory construction via attributed dense rewards, 2026.

Continual Learning in Transition MemBuilder: Reinforcing LLMs for long-term memory construction via attributed dense rewards, 2026

Reference 94

Resolution: unresolved; no resolver link, observed 2026-08-07T12:24:03.147804Z

Source-reported events for the cited work

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Observation 5a2bcd51-8448-48a0-b7bd-b1ce4755c6ad · outbound

This paper cites Memq: Integrating q-learning into self-evolving memory agents over provenance dags, 2026.

Continual Learning in Transition Memq: Integrating q-learning into self-evolving memory agents over provenance dags, 2026

Reference 95

Resolution: unresolved; no resolver link, observed 2026-08-07T12:24:03.259629Z

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Observation 58e1c6ef-c7e1-46df-b90f-4ae7648f732a · outbound

This paper cites Marginal advantage accumulation for memory-driven agent self-evolution, 2026.

Continual Learning in Transition Marginal advantage accumulation for memory-driven agent self-evolution, 2026

Reference 96

Resolution: unresolved; no resolver link, observed 2026-08-07T12:24:03.329438Z

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Observation c8ce8d11-9629-4c18-9570-ce6bba0b37c2 · outbound

This paper cites Just-in-time reinforce- ment learning: Continual learning in LLM agents without gradient updates, 2026.

Continual Learning in Transition Just-in-time reinforce- ment learning: Continual learning in LLM agents without gradient updates, 2026

Reference 97

Resolution: unresolved; no resolver link, observed 2026-08-07T12:24:03.398196Z

Source-reported events for the cited work

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Observation 869eb844-642d-4196-8bc6-11cbc48c3216 · outbound

This paper cites Le, Samira Daruki, Xiangru Tang, Vishy Tirumalashetty, George Lee, Mahsan Rofouei, Hangfei Lin, Jiawei Han, Chen-Yu Lee, and Tomas Pfister.

Continual Learning in Transition Le, Samira Daruki, Xiangru Tang, Vishy Tirumalashetty, George Lee, Mahsan Rofouei, Hangfei Lin, Jiawei Han, Chen-Yu Lee, and Tomas Pfister

Reference 98

Resolution: unresolved; no resolver link, observed 2026-08-07T12:24:03.489277Z

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Observation 7ed7fb0b-9dde-432a-a005-561edce8c089 · outbound

This paper cites Learning on the job: An experience-driven self-evolving agent for long-horizon tasks, 2025.

Continual Learning in Transition Learning on the job: An experience-driven self-evolving agent for long-horizon tasks, 2025

Reference 99

Resolution: unresolved; no resolver link, observed 2026-08-07T12:24:03.569556Z

Source-reported events for the cited work

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Observation 7c26c397-16bb-4e96-9342-e90f7091ba2e · outbound

This paper cites Exg: Self-evolving agents with experience graphs, 2026.

Continual Learning in Transition Exg: Self-evolving agents with experience graphs, 2026

Reference 100

Resolution: unresolved; no resolver link, observed 2026-08-07T12:24:03.670173Z

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