Mechanistic Attention Guidance for Agent Memory Refinement | Paper Citation Record

Observation 479a0402-854e-4705-87ba-8af21c455c77 · outbound

This paper cites Faithfulness vs. Plausibility: On the (Un)Reliability of Explanations from Large Language Models.

Mechanistic Attention Guidance for Agent Memory Refinement Faithfulness vs. Plausibility: On the (Un)Reliability of Explanations from Large Language Models

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-01T17:30:38.471354Z

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Observation 05f8c993-b201-41c7-b42c-5b575121ab38 · outbound

This paper cites Chain-of-Thought Reasoning In The Wild Is Not Always Faithful.

Mechanistic Attention Guidance for Agent Memory Refinement Chain-of-Thought Reasoning In The Wild Is Not Always Faithful

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-01T17:30:38.509216Z

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Observation 28064414-db61-4608-b76e-f90c9d093e90 · outbound

This paper cites Understanding the Skill Gap in Recurrent Language Models: The Role of the Gather-and-Aggregate Mechanism.

Mechanistic Attention Guidance for Agent Memory Refinement Understanding the Skill Gap in Recurrent Language Models: The Role of the Gather-and-Aggregate Mechanism

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-01T17:30:38.577174Z

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Observation f8afff0b-ca96-4f86-9232-3cc4971c846f · outbound

This paper cites Flex: Continuous agent evolution via forward learning from experience.arXiv preprint arXiv:2511.06449, 2025.

Mechanistic Attention Guidance for Agent Memory Refinement Flex: Continuous agent evolution via forward learning from experience.arXiv preprint arXiv:2511.06449, 2025

Reference 4

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Observation da04e492-e9ce-4182-967f-f97e0b74901a · outbound

This paper cites Remember Me, Refine Me: A Dynamic Procedural Memory Framework for Experience-Driven Agent Evolution.

Mechanistic Attention Guidance for Agent Memory Refinement Remember Me, Refine Me: A Dynamic Procedural Memory Framework for Experience-Driven Agent Evolution

Reference 5

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Observation 9c2faf83-96d0-4a58-9631-d3215310c6de · outbound

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

Mechanistic Attention Guidance for Agent Memory Refinement Mem0: Building Production-Ready AI Agents with Scalable Long-Term Memory

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-01T17:30:38.763287Z

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Observation d34d0602-2ea0-41b7-bd3c-41a94f7a5f85 · outbound

This paper cites FaithLM: Towards faithful explanations for Large Language Models.

Mechanistic Attention Guidance for Agent Memory Refinement FaithLM: Towards faithful explanations for Large Language Models

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-01T17:30:38.832900Z

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Observation e122bf77-615a-4cf9-b139-02d86028cd23 · outbound

This paper cites Trajectory-informed memory generation for self-improving agent systems.

Mechanistic Attention Guidance for Agent Memory Refinement Trajectory-informed memory generation for self-improving agent systems

Reference 8

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Observation 9c5918ad-d802-4ee5-84b7-e1a67f65a5e0 · outbound

This paper cites Memp: Exploring Agent Procedural Memory.

Mechanistic Attention Guidance for Agent Memory Refinement Memp: Exploring Agent Procedural Memory

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-01T17:30:38.940315Z

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Observation b2bc5205-1132-45ea-a1eb-6c31a33bf1c9 · outbound

This paper cites Efficient Prompt Compression with Evaluator Heads for Long-Context Transformer Inference.

Mechanistic Attention Guidance for Agent Memory Refinement Efficient Prompt Compression with Evaluator Heads for Long-Context Transformer Inference

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-01T17:30:39.088415Z

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Observation cdb775a8-7583-42fc-8e1c-7e99bfd73e5c · outbound

This paper cites The Llama 3 herd of models, 2024.

Mechanistic Attention Guidance for Agent Memory Refinement The Llama 3 herd of models, 2024

Reference 11

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Observation 392e14b1-8503-4a5b-adbe-fdcdc44f4b99 · outbound

This paper cites Hia- gent: Hierarchical working memory management for solving long-horizon agent tasks with Large Language Model.

Mechanistic Attention Guidance for Agent Memory Refinement Hia- gent: Hierarchical working memory management for solving long-horizon agent tasks with Large Language Model

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-01T17:30:39.299235Z

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Observation d0aa7a9a-3c58-43bc-b9c1-25b113153eaa · outbound

This paper cites Memory in the Age of AI Agents.

Mechanistic Attention Guidance for Agent Memory Refinement Memory in the Age of AI Agents

Reference 13

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Observation e483a10e-5aa9-4af8-8c4d-0fdc1477a332 · outbound

This paper cites Rap: Retrieval-augmented planning with contextual memory for multimodal llm agents, 2024.

Mechanistic Attention Guidance for Agent Memory Refinement Rap: Retrieval-augmented planning with contextual memory for multimodal llm agents, 2024

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-01T17:30:39.471539Z

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Observation 0a0381f0-4aa0-4707-a10d-cb6729649c58 · outbound

This paper cites The atlas of in-context learning: How attention heads shape in-context retrieval augmentation.arXiv preprint arXiv:2505.15807, 2025.

Mechanistic Attention Guidance for Agent Memory Refinement The atlas of in-context learning: How attention heads shape in-context retrieval augmentation.arXiv preprint arXiv:2505.15807, 2025

Reference 15

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Observation 4be47560-3989-460a-a90a-288c8743c33d · outbound

This paper cites Why Language Models Hallucinate.

Mechanistic Attention Guidance for Agent Memory Refinement Why Language Models Hallucinate

Reference 16

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Observation 59f18bd1-abd2-4d21-9f97-593201649851 · outbound

This paper cites SnapKV: LLM knows what you are looking for before generation.Advances in Neural Information Processing Systems, 37:22947–22970, 2024.

Mechanistic Attention Guidance for Agent Memory Refinement SnapKV: LLM knows what you are looking for before generation.Advances in Neural Information Processing Systems, 37:22947–22970, 2024

Reference 17

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Observation 74eaf0e2-365b-4541-818a-e0bcb00e32c1 · outbound

This paper cites an unresolved cited work.

Mechanistic Attention Guidance for Agent Memory Refinement Unresolved cited work

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-01T17:30:39.963511Z

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Observation 01dd7a66-cbf1-4599-a432-ced96d71b749 · outbound

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

Mechanistic Attention Guidance for Agent Memory Refinement ReasoningBank: Scaling Agent Self-Evolving with Reasoning Memory

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-01T17:30:40.060884Z

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Observation 3d9bead5-7615-4b82-be7d-e583d0ae14e9 · outbound

This paper cites MemGPT: towards LLMs as operating systems, 2023.

Mechanistic Attention Guidance for Agent Memory Refinement MemGPT: towards LLMs as operating systems, 2023

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-01T17:30:40.165410Z

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Observation d19d9922-2b27-4a57-afb5-ae4444307dbf · outbound

This paper cites Generative agents: Interactive simulacra of human behavior.

Mechanistic Attention Guidance for Agent Memory Refinement Generative agents: Interactive simulacra of human behavior

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-01T17:30:40.264321Z

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Observation 23a1c8a2-7013-4ee6-b07a-a10bda3bff51 · outbound

This paper cites Qwen2.5 technical report, 2025.

Mechanistic Attention Guidance for Agent Memory Refinement Qwen2.5 technical report, 2025

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-01T17:30:40.362999Z

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Observation 79bc4887-3836-4c1b-884a-f6dde1455415 · outbound

This paper cites Towards Understanding Sycophancy in Language Models.

Mechanistic Attention Guidance for Agent Memory Refinement Towards Understanding Sycophancy in Language Models

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-01T17:30:40.457707Z

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Observation dbbf6ce4-7da3-4a89-8c4e-5a0f6c20bdb5 · outbound

This paper cites Reflexion: Language agents with verbal reinforcement learning.Advances in neural information processing systems, 36:8634–8652, 2023.

Mechanistic Attention Guidance for Agent Memory Refinement Reflexion: Language agents with verbal reinforcement learning.Advances in neural information processing systems, 36:8634–8652, 2023

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-01T17:30:40.556245Z

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Observation d146d816-403b-43a8-8ff2-822071629eaa · outbound

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

Mechanistic Attention Guidance for Agent Memory Refinement ALFWorld: Aligning Text and Embodied Environments for Interactive Learning

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-01T17:30:40.649186Z

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Observation a0a77b3d-b3f9-4a9d-8d75-9ebe41e5c81a · outbound

This paper cites The Hallucination Tax of Reinforcement Finetuning.

Mechanistic Attention Guidance for Agent Memory Refinement The Hallucination Tax of Reinforcement Finetuning

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-01T17:30:40.711089Z

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Observation 7d59c59f-1886-408b-b5c5-6c749d8c5ef0 · outbound

This paper cites Trial and Error: Exploration-based trajectory optimization of LLM agents.

Mechanistic Attention Guidance for Agent Memory Refinement Trial and Error: Exploration-based trajectory optimization of LLM agents

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-01T17:30:40.801227Z

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Observation f31e7284-9de7-435c-82b4-3879478b1040 · outbound

This paper cites Dynamic Cheatsheet: Test-time learning with adaptive memory.

Mechanistic Attention Guidance for Agent Memory Refinement Dynamic Cheatsheet: Test-time learning with adaptive memory

Reference 28

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Observation 039cc6ee-f04a-41a7-b2bc-7daf54258319 · outbound

This paper cites Language Models don’t always say what they think: Unfaithful explanations in Chain-of-Thought prompting.Advances in Neural Information Processing Systems, 36:74952–74965, 2023.

Mechanistic Attention Guidance for Agent Memory Refinement Language Models don’t always say what they think: Unfaithful explanations in Chain-of-Thought prompting.Advances in Neural Information Processing Systems, 36:74952–74965, 2023

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-01T17:30:41.024537Z

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Observation eda68e6e-fade-4734-a729-72ebb5dde806 · outbound

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

Mechanistic Attention Guidance for Agent Memory Refinement Voyager: An Open-Ended Embodied Agent with Large Language Models

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-01T17:30:41.117828Z

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Observation c8b660c2-e162-4d0e-9669-34062222d7d0 · outbound

This paper cites ScienceWorld: Is your agent smarter than a 5th grader? InProceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 11279–11298, 2022.

Mechanistic Attention Guidance for Agent Memory Refinement ScienceWorld: Is your agent smarter than a 5th grader? InProceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 11279–11298, 2022

Reference 31

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Observation c2f0532a-d5c9-4a84-97be-6dc0f7855454 · outbound

This paper cites Quito: Accelerat- ing long-context reasoning through query-guided context compression.

Mechanistic Attention Guidance for Agent Memory Refinement Quito: Accelerat- ing long-context reasoning through query-guided context compression

Reference 32

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Observation 54c31288-3f7c-4520-86be-d691642621f8 · outbound

This paper cites Agent Workflow Memory.

Mechanistic Attention Guidance for Agent Memory Refinement Agent Workflow Memory

Reference 33

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Observation 1b63929e-0fa4-4cdf-80f9-e29bbf162303 · outbound

This paper cites Retrieval head mecha- nistically explains long-context factuality.

Mechanistic Attention Guidance for Agent Memory Refinement Retrieval head mecha- nistically explains long-context factuality

Reference 34

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Observation 6f21cf4f-dd9e-46a9-b853-d97c51b72469 · outbound

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

Mechanistic Attention Guidance for Agent Memory Refinement A-MEM: Agentic Memory for LLM Agents

Reference 35

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Observation 3c3a1c51-1f6a-4009-a740-674313c20ff4 · outbound

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

Mechanistic Attention Guidance for Agent Memory Refinement Memory-R1: Enhancing Large Language Model Agents to Manage and Utilize Memories via Reinforcement Learning

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-01T17:30:41.878456Z

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Observation 8b5bc7fb-2c0b-4dcc-9d64-42f6325b3e21 · outbound

This paper cites Webshop: Towards scalable real-world web interaction with grounded language agents.Advances in Neural Information Processing Systems, 35:20744–20757, 2022.

Mechanistic Attention Guidance for Agent Memory Refinement Webshop: Towards scalable real-world web interaction with grounded language agents.Advances in Neural Information Processing Systems, 35:20744–20757, 2022

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-01T17:30:42.012497Z

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Observation b805a31f-f3a6-4e69-91d5-aaa33607f156 · outbound

This paper cites ReAct: Synergizing Reasoning and Acting in Language Models.

Mechanistic Attention Guidance for Agent Memory Refinement ReAct: Synergizing Reasoning and Acting in Language Models

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-01T17:30:42.140986Z

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Observation e45b9afe-c5ff-4088-9e4c-1b91040fcc7d · outbound

This paper cites Agentic Context Engineering: Evolving Contexts for Self-Improving Language Models.

Mechanistic Attention Guidance for Agent Memory Refinement Agentic Context Engineering: Evolving Contexts for Self-Improving Language Models

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-01T17:30:42.258401Z

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Observation 97bb8b18-76a3-45ef-8b8d-19331e15ebe9 · outbound

This paper cites Query-focused Retrieval Heads improve long-context reasoning and re-ranking.

Mechanistic Attention Guidance for Agent Memory Refinement Query-focused Retrieval Heads improve long-context reasoning and re-ranking

Reference 40

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Observation eccd9d55-df92-46bb-8b00-fba43fcd77d5 · outbound

This paper cites H2o: Heavy-hitter oracle for efficient generative inference of large language models.Advances in Neural Information Processing Systems, 36:34661–34710, 2023.

Mechanistic Attention Guidance for Agent Memory Refinement H2o: Heavy-hitter oracle for efficient generative inference of large language models.Advances in Neural Information Processing Systems, 36:34661–34710, 2023

Reference 41

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Observation 11d9e3dc-80c6-4d37-9db3-9de4f107c59a · outbound

This paper cites Expel: LLM agents are experiential learners.

Mechanistic Attention Guidance for Agent Memory Refinement Expel: LLM agents are experiential learners

Reference 42

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Observation 74f36396-6d0b-4b53-bd95-467fe6c35d61 · outbound

This paper cites Leveraging attention to effectively compress prompts for long-context llms.

Mechanistic Attention Guidance for Agent Memory Refinement Leveraging attention to effectively compress prompts for long-context llms

Reference 43

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Observation ead344e0-0dec-49e4-9efd-599f6403e1c0 · outbound

This paper cites Synapse: Trajectory-as-exemplar prompting with memory for computer control.

Mechanistic Attention Guidance for Agent Memory Refinement Synapse: Trajectory-as-exemplar prompting with memory for computer control

Reference 44

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Observation e1655d92-b614-4b39-aed5-f0ebf839a3b9 · outbound

This paper cites Memorybank: Enhancing Large Language Models with long-term memory.

Mechanistic Attention Guidance for Agent Memory Refinement Memorybank: Enhancing Large Language Models with long-term memory

Reference 45

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Observation e979c0da-42d7-4b9d-a28c-b1cefc79cf62 · outbound

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Mechanistic Attention Guidance for Agent Memory Refinement Unresolved cited work

Reference 46

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Observation afce07aa-e111-46d2-a3ae-ae503311b5d7 · outbound

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Mechanistic Attention Guidance for Agent Memory Refinement Unresolved cited work

Reference 47

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Observation a3cbe607-763b-4bb1-8d3e-7c599f6d5e7a · outbound

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Mechanistic Attention Guidance for Agent Memory Refinement Unresolved cited work

Reference 48

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Observation 06a29e2d-7491-4227-8770-47c15f80d4e3 · outbound

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Mechanistic Attention Guidance for Agent Memory Refinement Unresolved cited work

Reference 49

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Observation 5312ff60-7f92-463a-b113-4aae39238a37 · outbound

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Mechanistic Attention Guidance for Agent Memory Refinement Unresolved cited work

Reference 50

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Observation c86d67a7-32e7-4bb2-85ef-166645c368ad · outbound

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Mechanistic Attention Guidance for Agent Memory Refinement Unresolved cited work

Reference 51

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Observation bc6883ae-4f4e-4e81-ac57-9be74ad369c3 · outbound

This paper cites [Erroneous Step Context] From [Task Trajectory].

Mechanistic Attention Guidance for Agent Memory Refinement [Erroneous Step Context] From [Task Trajectory]

Reference 52

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Observation 87a8765c-bbee-4e09-a888-b43edea6359f · outbound

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Mechanistic Attention Guidance for Agent Memory Refinement Unresolved cited work

Reference 53

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Observation 76341979-0b42-4356-bc40-235beedb251b · outbound

This paper cites an unresolved cited work.

Mechanistic Attention Guidance for Agent Memory Refinement Unresolved cited work

Reference 54

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Observation d03a45c1-c6ad-4155-ac9a-74e75fe8ae82 · outbound

This paper cites [/INST] Thought.

Mechanistic Attention Guidance for Agent Memory Refinement [/INST] Thought

Reference 55

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Pith citing papers