Mem-$\pi$: Adaptive Memory through Learning When and What to Generate | Paper Citation Record

Observation 312bb44a-2a3e-4037-8b2b-3602306f0a2f · outbound

This paper cites L1: Controlling How Long A Reasoning Model Thinks With Reinforcement Learning.

Mem-$\pi$: Adaptive Memory through Learning When and What to Generate L1: Controlling How Long A Reasoning Model Thinks With Reinforcement Learning

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-05-21T04:29:34.591072Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation cc1801bd-ad24-4362-80db-05facfbb7a65 · outbound

This paper cites Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection.

Mem-$\pi$: Adaptive Memory through Learning When and What to Generate Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-05-21T04:29:34.534193Z

Source-reported events for the cited work

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Observation 1b474ce2-bcc6-4061-95ae-4f47d49713ea · outbound

This paper cites Flex: Continuous agent evolution via forward learning from experience.

Mem-$\pi$: Adaptive Memory through Learning When and What to Generate Flex: Continuous agent evolution via forward learning from experience

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-21T04:29:34.594070Z

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Observation fb66120c-9f44-4228-85e9-5786d2b47748 · outbound

This paper cites Memory decoder: A pretrained, plug-and-play memory for large language models.

Mem-$\pi$: Adaptive Memory through Learning When and What to Generate Memory decoder: A pretrained, plug-and-play memory for large language models

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-21T04:29:34.486873Z

Source-reported events for the cited work

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Observation 86108285-99c7-4b9d-9248-cae1b1d44b70 · outbound

This paper cites Conditional Memory via Scalable Lookup: A New Axis of Sparsity for Large Language Models.

Mem-$\pi$: Adaptive Memory through Learning When and What to Generate Conditional Memory via Scalable Lookup: A New Axis of Sparsity for Large Language Models

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-05-21T04:29:34.555281Z

Source-reported events for the cited work

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Observation 7b3af8db-c674-4aa7-91c9-b3ea1a97e2c2 · outbound

This paper cites Adapting language models to compress contexts.

Mem-$\pi$: Adaptive Memory through Learning When and What to Generate Adapting language models to compress contexts

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T09:54:58.626358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 8dce04ad-5e8f-4610-8096-1cdf1fcbb3c4 · outbound

This paper cites doi: 10.18653/v1/2023.emnlp-main.232.

Mem-$\pi$: Adaptive Memory through Learning When and What to Generate doi: 10.18653/v1/2023.emnlp-main.232

Reference 7

Resolution: verified exact; doi, observed 2026-05-21T04:29:34.098063Z

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Observation 551a2523-d7a2-40bb-99a1-4852e44eed21 · outbound

This paper cites Mem0: Building Production-Ready AI Agents with Scalable Long-Term Memory.

Mem-$\pi$: Adaptive Memory through Learning When and What to Generate Mem0: Building Production-Ready AI Agents with Scalable Long-Term Memory

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-05-21T04:29:34.588107Z

Source-reported events for the cited work

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Observation f62cf1e8-5a06-4e7a-9619-d28433996987 · outbound

This paper cites Prompt Injection: Parameterization of Fixed Inputs.

Mem-$\pi$: Adaptive Memory through Learning When and What to Generate Prompt Injection: Parameterization of Fixed Inputs

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-21T04:29:34.573397Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 90a487ad-326a-4460-8376-7407687d6d3c · outbound

This paper cites SWE-Bench Pro: Can AI Agents Solve Long-Horizon Software Engineering Tasks?.

Mem-$\pi$: Adaptive Memory through Learning When and What to Generate SWE-Bench Pro: Can AI Agents Solve Long-Horizon Software Engineering Tasks?

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-05-21T04:29:34.576114Z

Source-reported events for the cited work

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Observation 80861e38-08da-4247-96de-144b74898936 · outbound

This paper cites Meki: Memory-based expert knowledge injection for efficient llm scaling.arXiv preprint arXiv:2602.03359.

Mem-$\pi$: Adaptive Memory through Learning When and What to Generate Meki: Memory-based expert knowledge injection for efficient llm scaling.arXiv preprint arXiv:2602.03359

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-21T04:29:34.579167Z

Source-reported events for the cited work

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Observation 1cb0b698-2aef-4a47-87b1-7bd284865f63 · outbound

This paper cites doi: 10.18653/v1/2022.acl-long.203.

Mem-$\pi$: Adaptive Memory through Learning When and What to Generate doi: 10.18653/v1/2022.acl-long.203

Reference 12

Resolution: verified exact; doi, observed 2026-05-21T04:29:34.089199Z

Source-reported events for the cited work

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Observation 3d79cb01-8b9d-4679-a986-b6cae214b91a · outbound

This paper cites HiAgent: Hierarchical Working Memory Management for Solving Long-Horizon Agent Tasks with Large Language Model.

Mem-$\pi$: Adaptive Memory through Learning When and What to Generate HiAgent: Hierarchical Working Memory Management for Solving Long-Horizon Agent Tasks with Large Language Model

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-21T04:29:34.581992Z

Source-reported events for the cited work

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Observation 4feb0c13-c39c-412b-8ab4-eb9e0f80a080 · outbound

This paper cites Memory in the Age of AI Agents.

Mem-$\pi$: Adaptive Memory through Learning When and What to Generate Memory in the Age of AI Agents

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-05-21T04:29:34.584663Z

Source-reported events for the cited work

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Observation 61aa8d7b-8061-40c9-9176-82d2bebc37c1 · outbound

This paper cites Rethinking memory mechanisms of foundation agents in the second half.

Mem-$\pi$: Adaptive Memory through Learning When and What to Generate Rethinking memory mechanisms of foundation agents in the second half

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-21T04:29:34.602240Z

Source-reported events for the cited work

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Observation 464deb64-b592-4ae2-b214-3f102c2fcd34 · outbound

This paper cites GPT-4o System Card.

Mem-$\pi$: Adaptive Memory through Learning When and What to Generate GPT-4o System Card

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-05-21T04:29:34.596549Z

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Observation 83196639-1158-4658-9c55-b46582603ccf · outbound

This paper cites Memoryllm: Plug-n-play interpretable feed-forward memory for transformers.arXiv preprint arXiv:2602.00398.

Mem-$\pi$: Adaptive Memory through Learning When and What to Generate Memoryllm: Plug-n-play interpretable feed-forward memory for transformers.arXiv preprint arXiv:2602.00398

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-21T04:29:34.564089Z

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Observation c8566de8-bce5-4fd9-8960-1be04e99ab26 · outbound

This paper cites Adaptive-RAG: Learning to adapt retrieval-augmented large language models through question complexity.

Mem-$\pi$: Adaptive Memory through Learning When and What to Generate Adaptive-RAG: Learning to adapt retrieval-augmented large language models through question complexity

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T09:54:58.631427Z

Source-reported events for the cited work

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Observation 088047a6-e6db-456b-a8b2-2abec9c9ac9d · outbound

This paper cites doi: 10.18653/v1/2024.naacl-long.389.

Mem-$\pi$: Adaptive Memory through Learning When and What to Generate doi: 10.18653/v1/2024.naacl-long.389

Reference 19

Resolution: verified exact; doi, observed 2026-05-21T04:29:34.079001Z

Source-reported events for the cited work

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Observation 7d4dd658-c04a-47fa-b6fc-fe84ded2004f · outbound

This paper cites doi: 10.18653/v1/2023.emnlp-main.495.

Mem-$\pi$: Adaptive Memory through Learning When and What to Generate doi: 10.18653/v1/2023.emnlp-main.495

Reference 20

Resolution: verified exact; doi, observed 2026-05-21T04:29:34.095247Z

Source-reported events for the cited work

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Observation 7fcc1b10-983c-46c7-b0a4-7b0695cc202f · outbound

This paper cites WebThinker: Empowering Large Reasoning Models with Deep Research Capability.

Mem-$\pi$: Adaptive Memory through Learning When and What to Generate WebThinker: Empowering Large Reasoning Models with Deep Research Capability

Reference 21

Resolution: verified exact; local_arxiv, observed 2026-05-21T04:29:34.560918Z

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Observation 25c2de34-8ec8-4c81-a801-306139923872 · outbound

This paper cites Beyond Experience Retrieval: Learning to Generate Utility-Optimized Structured Experience for Frozen LLMs.

Mem-$\pi$: Adaptive Memory through Learning When and What to Generate Beyond Experience Retrieval: Learning to Generate Utility-Optimized Structured Experience for Frozen LLMs

Reference 22

Resolution: verified exact; local_arxiv, observed 2026-05-21T04:29:34.599342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 9048ecd7-f98f-4a57-8267-382e2e46f0bf · outbound

This paper cites Prompt Compression for Large Language Models: A Survey.

Mem-$\pi$: Adaptive Memory through Learning When and What to Generate Prompt Compression for Large Language Models: A Survey

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-21T04:29:34.605265Z

Source-reported events for the cited work

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Observation e13af09a-84e1-4136-b79d-e9a1ed397257 · outbound

This paper cites Holistic Evaluation of Language Models.

Mem-$\pi$: Adaptive Memory through Learning When and What to Generate Holistic Evaluation of Language Models

Reference 24

Resolution: verified exact; local_arxiv, observed 2026-05-21T04:29:34.608038Z

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Observation d0aa3807-d60a-4138-8c32-9465eff92dee · outbound

This paper cites Advances and Challenges in Foundation Agents: From Brain-Inspired Intelligence to Evolutionary, Collaborative, and Safe Systems.

Mem-$\pi$: Adaptive Memory through Learning When and What to Generate Advances and Challenges in Foundation Agents: From Brain-Inspired Intelligence to Evolutionary, Collaborative, and Safe Systems

Reference 25

Resolution: verified exact; local_arxiv, observed 2026-05-21T04:29:34.611162Z

Source-reported events for the cited work

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Observation edca8bb1-366b-4c90-ae5c-1326a7d8a4e7 · outbound

This paper cites The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery.

Mem-$\pi$: Adaptive Memory through Learning When and What to Generate The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery

Reference 26

Resolution: verified exact; local_arxiv, observed 2026-05-21T04:29:34.558100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 1c0c1c7a-4733-4eff-b97e-85bff8ef356c · outbound

This paper cites Just-in-time episodic feedback hinter: Leveraging offline knowledge to improve llm agents adaptation.arXiv preprint arXiv:2510.04373.

Mem-$\pi$: Adaptive Memory through Learning When and What to Generate Just-in-time episodic feedback hinter: Leveraging offline knowledge to improve llm agents adaptation.arXiv preprint arXiv:2510.04373

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-05-21T04:29:34.567587Z

Source-reported events for the cited work

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Observation be697800-a58a-41e2-830c-8f42378c6e02 · outbound

This paper cites 12 Long Ouyang, Jeffrey Wu, Xu Jiang, Diogo Almeida, Carroll Wainwright, Pamela Mishkin, Chong Zhang, Sandhini Agarwal, Katarina Slama, Alex Gray, et al.

Mem-$\pi$: Adaptive Memory through Learning When and What to Generate 12 Long Ouyang, Jeffrey Wu, Xu Jiang, Diogo Almeida, Carroll Wainwright, Pamela Mishkin, Chong Zhang, Sandhini Agarwal, Katarina Slama, Alex Gray, et al

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T09:54:58.639185Z

Source-reported events for the cited work

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Observation 93c03a89-ce02-4866-8bc5-00b7bd8ce4a9 · outbound

This paper cites ReasoningBank: Scaling Agent Self-Evolving with Reasoning Memory.

Mem-$\pi$: Adaptive Memory through Learning When and What to Generate ReasoningBank: Scaling Agent Self-Evolving with Reasoning Memory

Reference 29

Resolution: verified exact; local_arxiv, observed 2026-05-21T04:29:34.477632Z

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Observation a5f980ef-88fa-4e8f-98a4-468aa3d469ff · outbound

This paper cites MemGPT: Towards LLMs as Operating Systems.

Mem-$\pi$: Adaptive Memory through Learning When and What to Generate MemGPT: Towards LLMs as Operating Systems

Reference 30

Resolution: verified exact; local_arxiv, observed 2026-05-21T04:29:34.549869Z

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Observation 44febb33-f0d7-4420-ab98-4504b38966b1 · outbound

This paper cites Humanity's Last Exam.

Mem-$\pi$: Adaptive Memory through Learning When and What to Generate Humanity's Last Exam

Reference 31

Resolution: verified exact; local_arxiv, observed 2026-05-21T04:29:34.546945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 6e5bcc9a-5671-4435-ad9f-e72c017169f0 · outbound

This paper cites WebRL: Training LLM Web Agents via Self-Evolving Online Curriculum Reinforcement Learning.

Mem-$\pi$: Adaptive Memory through Learning When and What to Generate WebRL: Training LLM Web Agents via Self-Evolving Online Curriculum Reinforcement Learning

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-05-21T04:29:34.490134Z

Source-reported events for the cited work

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Observation d4fe3471-980b-4f19-a533-dff0997e846b · outbound

This paper cites MemoRAG: Boosting Long Context Processing with Global Memory-Enhanced Retrieval Augmentation.

Mem-$\pi$: Adaptive Memory through Learning When and What to Generate MemoRAG: Boosting Long Context Processing with Global Memory-Enhanced Retrieval Augmentation

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-05-21T04:29:34.483693Z

Source-reported events for the cited work

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Observation efcae764-fab3-4767-99e5-197a54133da8 · outbound

This paper cites UI-TARS: Pioneering Automated GUI Interaction with Native Agents.

Mem-$\pi$: Adaptive Memory through Learning When and What to Generate UI-TARS: Pioneering Automated GUI Interaction with Native Agents

Reference 34

Resolution: verified exact; local_arxiv, observed 2026-05-21T04:29:34.540197Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation f51fc5c6-5c23-4e67-a98f-e16d9c9db87a · outbound

This paper cites Agent laboratory: Using LLM agents as research assistants.

Mem-$\pi$: Adaptive Memory through Learning When and What to Generate Agent laboratory: Using LLM agents as research assistants

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T09:54:58.621490Z

Source-reported events for the cited work

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Observation cd383ede-953f-42a5-8860-191f405a75df · outbound

This paper cites Agent laboratory: Using LLM agents as research assistants.

Mem-$\pi$: Adaptive Memory through Learning When and What to Generate Agent laboratory: Using LLM agents as research assistants

Reference 36

Resolution: metadata mismatch; doi, observed 2026-05-21T04:29:34.073694Z

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Observation 1a65fa3e-a8c4-4a07-a499-d3f2afe1ca6b · outbound

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

Mem-$\pi$: Adaptive Memory through Learning When and What to Generate DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 37

Resolution: metadata mismatch; local_arxiv, observed 2026-05-21T04:29:34.552589Z

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Observation f41d3e8b-4fd9-4cf8-8727-53b7181d86ee · outbound

This paper cites Evolving Programmatic Skill Networks.

Mem-$\pi$: Adaptive Memory through Learning When and What to Generate Evolving Programmatic Skill Networks

Reference 38

Resolution: verified exact; arxiv_id, observed 2026-06-24T01:14:24.490580Z

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Observation deb1ccc5-0ea0-41e9-a570-485e1174ca45 · outbound

This paper cites ALFWorld: Aligning Text and Embodied Environments for Interactive Learning.

Mem-$\pi$: Adaptive Memory through Learning When and What to Generate ALFWorld: Aligning Text and Embodied Environments for Interactive Learning

Reference 39

Resolution: verified exact; local_arxiv, observed 2026-05-21T04:29:34.537078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation eba811d7-d915-4360-bc68-5345427a3e79 · outbound

This paper cites Cognitive Architectures for Language Agents.

Mem-$\pi$: Adaptive Memory through Learning When and What to Generate Cognitive Architectures for Language Agents

Reference 40

Resolution: verified exact; local_arxiv, observed 2026-05-21T04:29:34.525026Z

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 61da0936-50ee-4d01-b592-894f02abaabb · outbound

This paper cites A Survey on Self-Evolution of Large Language Models.

Mem-$\pi$: Adaptive Memory through Learning When and What to Generate A Survey on Self-Evolution of Large Language Models

Reference 41

Resolution: verified exact; arxiv_id, observed 2026-05-21T04:29:34.528489Z

Source-reported events for the cited work

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Observation 2bd32ea4-a4d8-4e99-9df2-3228ac1eb11a · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

Mem-$\pi$: Adaptive Memory through Learning When and What to Generate Gemini: A Family of Highly Capable Multimodal Models

Reference 42

Resolution: verified exact; local_arxiv, observed 2026-05-21T04:29:34.522144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 7330f1ad-85d0-45e2-b17b-b1d2d1eedfc1 · outbound

This paper cites Xing W, Guangyuan Ma, Wanhui Qian, Zijia Lin, and Songlin Hu.

Mem-$\pi$: Adaptive Memory through Learning When and What to Generate Xing W, Guangyuan Ma, Wanhui Qian, Zijia Lin, and Songlin Hu

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T09:54:58.646997Z

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Observation 727b705d-3a59-461b-8304-397419947130 · outbound

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

Mem-$\pi$: Adaptive Memory through Learning When and What to Generate Voyager: An Open-Ended Embodied Agent with Large Language Models

Reference 44

Resolution: metadata mismatch; local_arxiv, observed 2026-05-21T04:29:34.076746Z

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Observation 4079ff31-052a-47d0-8218-161c1bf4516c · outbound

This paper cites Oscar: Operating system control via state-aware reasoning and re-planning.

Mem-$\pi$: Adaptive Memory through Learning When and What to Generate Oscar: Operating system control via state-aware reasoning and re-planning

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T09:54:58.636381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 40fa7d1c-bf01-4078-bdf2-7ca6d7c2c42e · outbound

This paper cites R3Mem: Bridging memory retention and retrieval via reversible compression.

Mem-$\pi$: Adaptive Memory through Learning When and What to Generate R3Mem: Bridging memory retention and retrieval via reversible compression

Reference 46

Resolution: verified exact; doi, observed 2026-05-21T04:29:34.081895Z

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Observation 75de96d9-72be-42aa-8a7b-71a813566dcc · outbound

This paper cites Agent workflow memory.

Mem-$\pi$: Adaptive Memory through Learning When and What to Generate Agent workflow memory

Reference 47

Resolution: verified exact; doi, observed 2026-05-21T04:29:34.086946Z

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation ba136fe7-fcce-4f87-aecc-280051cfae82 · outbound

This paper cites EvolveR: Self-Evolving LLM Agents through an Experience-Driven Lifecycle.

Mem-$\pi$: Adaptive Memory through Learning When and What to Generate EvolveR: Self-Evolving LLM Agents through an Experience-Driven Lifecycle

Reference 48

Resolution: metadata mismatch; local_arxiv, observed 2026-05-21T04:29:34.084876Z

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Observation 5057d63a-7fc3-480e-aec8-5d5fc5e6ecf3 · outbound

This paper cites Ui-mem: Self-evolving experience memory for online reinforcement learning in mobile gui agents.

Mem-$\pi$: Adaptive Memory through Learning When and What to Generate Ui-mem: Self-evolving experience memory for online reinforcement learning in mobile gui agents

Reference 49

Resolution: verified exact; arxiv_id, observed 2026-05-21T04:29:34.513738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation d1a95d4d-8366-4cbc-81da-4eaa7baae434 · outbound

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

Mem-$\pi$: Adaptive Memory through Learning When and What to Generate A-MEM: Agentic Memory for LLM Agents

Reference 50

Resolution: verified exact; local_arxiv, observed 2026-05-21T04:29:34.516485Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 2fb5c50b-aa92-43dc-9dc8-7ff6a9cbb893 · outbound

This paper cites Chain-of-Memory: Lightweight Memory Construction with Dynamic Evolution for LLM Agents.

Mem-$\pi$: Adaptive Memory through Learning When and What to Generate Chain-of-Memory: Lightweight Memory Construction with Dynamic Evolution for LLM Agents

Reference 51

Resolution: verified exact; local_arxiv, observed 2026-05-21T04:29:34.510585Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 598af286-bd06-44e3-915c-3c8f2cb1931c · outbound

This paper cites Memory-R1: Enhancing Large Language Model Agents to Manage and Utilize Memories via Reinforcement Learning.

Mem-$\pi$: Adaptive Memory through Learning When and What to Generate Memory-R1: Enhancing Large Language Model Agents to Manage and Utilize Memories via Reinforcement Learning

Reference 52

Resolution: verified exact; local_arxiv, observed 2026-05-21T04:29:34.507653Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 9c55adf1-93d6-4d18-b28e-02e42e73388b · outbound

This paper cites Beyond static summarization: Proactive memory extraction for llm agents.arXiv preprint arXiv:2601.04463, 2026a.

Mem-$\pi$: Adaptive Memory through Learning When and What to Generate Beyond static summarization: Proactive memory extraction for llm agents.arXiv preprint arXiv:2601.04463, 2026a

Reference 53

Resolution: verified exact; arxiv_id, observed 2026-05-21T04:29:34.519452Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 238ad194-3d5d-4353-8a76-a39d4bfc09b8 · outbound

This paper cites Explicit memory learning with expectation maximization.

Mem-$\pi$: Adaptive Memory through Learning When and What to Generate Explicit memory learning with expectation maximization

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T09:54:58.644012Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 684f54a0-e11f-4830-9bca-afd8e9c0e031 · outbound

This paper cites MemAgent: Reshaping Long-Context LLM with Multi-Conv RL-based Memory Agent.

Mem-$\pi$: Adaptive Memory through Learning When and What to Generate MemAgent: Reshaping Long-Context LLM with Multi-Conv RL-based Memory Agent

Reference 55

Resolution: metadata mismatch; local_arxiv, observed 2026-05-21T04:29:34.092106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation c66a86d1-24f3-4db0-8d45-802e79b7375a · outbound

This paper cites Exgrpo: Learning to reason from experience.arXiv preprint arXiv:2510.02245.

Mem-$\pi$: Adaptive Memory through Learning When and What to Generate Exgrpo: Learning to reason from experience.arXiv preprint arXiv:2510.02245

Reference 56

Resolution: verified exact; arxiv_id, observed 2026-05-21T04:29:34.499041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 59c1b20a-ff8f-47ac-b15b-4e3b9780ce1e · outbound

This paper cites Appagent: Multimodal agents as smartphone users.

Mem-$\pi$: Adaptive Memory through Learning When and What to Generate Appagent: Multimodal agents as smartphone users

Reference 57

Resolution: verified exact; arxiv_id, observed 2026-05-21T04:29:34.501969Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation e2c553fc-4ebf-4cad-8c9f-2d7b6822a388 · outbound

This paper cites A Survey on the Memory Mechanism of Large Language Model based Agents.

Mem-$\pi$: Adaptive Memory through Learning When and What to Generate A Survey on the Memory Mechanism of Large Language Model based Agents

Reference 58

Resolution: verified exact; local_arxiv, observed 2026-05-21T04:29:34.492896Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 223a33c4-15ec-4e37-a708-32a2b129ae13 · outbound

This paper cites LifelongAgentBench: Evaluating LLM Agents as Lifelong Learners.

Mem-$\pi$: Adaptive Memory through Learning When and What to Generate LifelongAgentBench: Evaluating LLM Agents as Lifelong Learners

Reference 59

Resolution: verified exact; arxiv_id, observed 2026-05-21T04:29:34.495977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation dc6ca1a0-d3d2-4653-881f-be170a96d934 · outbound

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

Mem-$\pi$: Adaptive Memory through Learning When and What to Generate Externalization in LLM Agents: A Unified Review of Memory, Skills, Protocols and Harness Engineering

Reference 60

Resolution: verified exact; local_arxiv, observed 2026-05-21T04:29:34.504787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation a998856b-e58e-45f7-b74c-b801195e126e · outbound

This paper cites Memento: Fine-tuning LLM Agents without Fine-tuning LLMs.

Mem-$\pi$: Adaptive Memory through Learning When and What to Generate Memento: Fine-tuning LLM Agents without Fine-tuning LLMs

Reference 61

Resolution: verified exact; arxiv_id, observed 2026-05-21T04:29:34.531512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation adb9f0e4-f7fd-4388-bf72-368194d0706d · outbound

This paper cites WebArena: A Realistic Web Environment for Building Autonomous Agents.

Mem-$\pi$: Adaptive Memory through Learning When and What to Generate WebArena: A Realistic Web Environment for Building Autonomous Agents

Reference 62

Resolution: verified exact; local_arxiv, observed 2026-05-21T04:29:34.570483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation a3452542-cc36-40a8-9e37-71af607a8199 · outbound

This paper cites an unresolved cited work.

Mem-$\pi$: Adaptive Memory through Learning When and What to Generate Unresolved cited work

Reference 63

Resolution: unresolved; raw_fallback, observed 2026-05-21T09:54:58.649378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation ef7654e8-6cfa-485b-a624-ec6095300f95 · outbound

This paper cites RL training is built on TRL (von Werra et al., 2020), with rollout generation served by vLLM (Kwon et al., 2023).Mem-π is initialized fromQwen2.5-7B-Instruct (Yang et al.

Mem-$\pi$: Adaptive Memory through Learning When and What to Generate RL training is built on TRL (von Werra et al., 2020), with rollout generation served by vLLM (Kwon et al., 2023).Mem-π is initialized fromQwen2.5-7B-Instruct (Yang et al

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T09:54:58.629211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 1c15b008-d7e7-47b0-8b41-0947213c04cf · outbound

This paper cites Optimization uses AdamW with learning rate1×10−6, β1=0.9, β2=0.999, weight decay0, batch size 8tasks per step, and200optimization steps.

Mem-$\pi$: Adaptive Memory through Learning When and What to Generate Optimization uses AdamW with learning rate1×10−6, β1=0.9, β2=0.999, weight decay0, batch size 8tasks per step, and200optimization steps

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T09:54:58.624029Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation f5c51be2-8698-44fd-b9ff-1dc70b47814a · outbound

This paper cites Reported numbers are means over three independent seeds.

Mem-$\pi$: Adaptive Memory through Learning When and What to Generate Reported numbers are means over three independent seeds

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T09:54:58.641694Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 58ab5310-63fb-4539-a9d2-dea71a9cc034 · outbound

This paper cites What is the top-1 best-selling product in 2022.

Mem-$\pi$: Adaptive Memory through Learning When and What to Generate What is the top-1 best-selling product in 2022

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T09:54:58.616241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 4fcdd294-42ba-43f2-8354-66cabe4774f5 · outbound

This paper cites Each entry contains a task query (source_trace_goals in JEF-Hinter (Nekoei et al., 2025)) and the guidance (JEF-Hinter hint) text.

Mem-$\pi$: Adaptive Memory through Learning When and What to Generate Each entry contains a task query (source_trace_goals in JEF-Hinter (Nekoei et al., 2025)) and the guidance (JEF-Hinter hint) text

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T09:54:58.619343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 9e2f9c0b-9f07-493f-89ba-80c28438bce7 · outbound

This paper cites List the top 3 search terms in my store.

Mem-$\pi$: Adaptive Memory through Learning When and What to Generate List the top 3 search terms in my store

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T09:54:58.633632Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers