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Paper Citation Record · LEDGER

Toward Efficient Agents: Memory, Tool learning, and Planning

As of 10 August 2026, this Paper Citation Record lists 100 of 209 outbound references and 11 inbound Pith citation observations for arXiv:2601.14192.

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

pith.paper-citation-record.v1
2601.14192 v2

Coverage vector

measured 100 of 209 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T09:21:41.009387Z

measured 111 of 111 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T01:02:23.262881Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T05:27:39.626602Z

Reference resolution

100 of 209 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved100
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ab2115be-b18f-4984-ae29-5e19af5a5d62 · outbound

This paper cites Lastras, Yara Rizk, and Pavan Kapanipathi.

Toward Efficient Agents: Memory, Tool learning, and Planning Lastras, Yara Rizk, and Pavan Kapanipathi

Reference 1

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source=pdf_text observed=2026-08-03T09:21:32.621359Z digest=sha256:bfa22b654738e8b51ad8f055d298704d4998d2da599887194900ea2792af2b04

Observation c3be1648-17fc-4441-ab3d-2bf62885c8f5 · outbound

This paper cites ReST meets ReAct: Self-Improvement for Multi-Step Reasoning LLM Agent.

Toward Efficient Agents: Memory, Tool learning, and Planning ReST meets ReAct: Self-Improvement for Multi-Step Reasoning LLM Agent

Reference 2

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source=pdf_text observed=2026-08-03T09:21:32.684964Z digest=sha256:d66758dc34ca9a1d3119209442017cf29947442244f06e8285fec27e9a74b469

Observation 359547e8-2526-4263-84cc-52b62b824fd7 · outbound

This paper cites Smagdi: Socratic multi agent interaction graph distillation for efficient high accuracy reasoning.arXiv preprint arXiv:2511.05528, 2025.

Toward Efficient Agents: Memory, Tool learning, and Planning Smagdi: Socratic multi agent interaction graph distillation for efficient high accuracy reasoning.arXiv preprint arXiv:2511.05528, 2025

Reference 3

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source=pdf_text observed=2026-08-03T09:21:32.758530Z digest=sha256:0cd63f66af804ded2523237b73e6862839c24d6d820b0eaa14d8de049ebda86a

Observation a5e6b82f-bb8a-42c9-83f8-dc5a91588fa8 · outbound

This paper cites ProTIP: Progressive Tool Retrieval Improves Planning.

Toward Efficient Agents: Memory, Tool learning, and Planning ProTIP: Progressive Tool Retrieval Improves Planning

Reference 4

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source=pdf_text observed=2026-08-03T09:21:32.891292Z digest=sha256:4de5b49f26b86d9f0566493b64e49aa24bf92ccfbb76db397c6037f85c2604cb

Observation 98abe8a0-ddc0-46a5-abf9-f4240f9c30af · outbound

This paper cites AriGraph: Learning Knowledge Graph World Models with Episodic Memory for LLM Agents.

Toward Efficient Agents: Memory, Tool learning, and Planning AriGraph: Learning Knowledge Graph World Models with Episodic Memory for LLM Agents

Reference 5

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source=pdf_text observed=2026-08-03T09:21:32.969449Z digest=sha256:75c6a81e82ec88cd4e62430ad2bfd7f4ae25cecc279777f4d736dfcd23f040b8

Observation 33e107ca-d598-4373-97b5-a36cd591e7c8 · outbound

This paper cites URLhttps://arxiv.org/abs/2506.

Toward Efficient Agents: Memory, Tool learning, and Planning URLhttps://arxiv.org/abs/2506

Reference 6

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source=pdf_text observed=2026-08-03T09:21:33.057646Z digest=sha256:953fc03870ca6862061e1d8ce3f577b2f6f20b785b6e9e30f1c9a6f615053b2f

Observation 9377c1a8-c548-497b-a692-bcbabb7a412e · outbound

This paper cites Titans: Learning to Memorize at Test Time.

Toward Efficient Agents: Memory, Tool learning, and Planning Titans: Learning to Memorize at Test Time

Reference 7

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source=pdf_text observed=2026-08-03T09:21:33.135922Z digest=sha256:9017a5ff1eff4fa4590fbf6d9111210bbf8729b6d87751c4ac18d92c4251f644

Observation 8eee4735-09cc-466a-ad8e-169ba509e470 · outbound

This paper cites AutoGPT+P: Affordance-based Task Planning with Large Language Models.

Toward Efficient Agents: Memory, Tool learning, and Planning AutoGPT+P: Affordance-based Task Planning with Large Language Models

Reference 8

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source=pdf_text observed=2026-08-03T09:21:33.227393Z digest=sha256:4e7daeadaa656619fe34b077555494f2330e563f02a0b4cb4ab097d3b9759fe0

Observation b2a52966-a4da-40b5-bb64-ac0e9d956394 · outbound

This paper cites Smurfs: Multi-agent system using context-efficient dfsdt for tool planning.

Toward Efficient Agents: Memory, Tool learning, and Planning Smurfs: Multi-agent system using context-efficient dfsdt for tool planning

Reference 9

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source=pdf_text observed=2026-08-03T09:21:33.262786Z digest=sha256:1fdac75e82de6d5722c48a8df26be611be6523735d16264dc7508d522680af0b

Observation 28b8af0b-69c0-4484-8c04-dcbce2534b42 · outbound

This paper cites MAGDi: Structured Distillation of Multi-Agent Interaction Graphs Improves Reasoning in Smaller Language Models.

Toward Efficient Agents: Memory, Tool learning, and Planning MAGDi: Structured Distillation of Multi-Agent Interaction Graphs Improves Reasoning in Smaller Language Models

Reference 10

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source=pdf_text observed=2026-08-03T09:21:33.331072Z digest=sha256:9807652b155f93a753c945080c8aada2825eb4a9c1630f7e8bfe8e06b89d471c

Observation 83e66a9e-fbb7-426e-bc0d-e41b7a357376 · outbound

This paper cites Compress to impress: Unleashing the potential of compressive memory in real-world long-term conversations.

Toward Efficient Agents: Memory, Tool learning, and Planning Compress to impress: Unleashing the potential of compressive memory in real-world long-term conversations

Reference 11

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source=pdf_text observed=2026-08-03T09:21:33.402087Z digest=sha256:e68b4fbed27951f85f8526163d8eaa3551e7c6537b15f221912d1561908363eb

Observation adde5d83-10df-4827-a234-ee7b697fedf2 · outbound

This paper cites A 2fm: An adaptive agent foundation model for tool-aware hybrid reasoning, 2025.

Toward Efficient Agents: Memory, Tool learning, and Planning A 2fm: An adaptive agent foundation model for tool-aware hybrid reasoning, 2025

Reference 12

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source=pdf_text observed=2026-08-03T09:21:33.511403Z digest=sha256:e2702002183743777757fa481a08c5db8e7b40f3fea3f5caabd4bbb4911f65b7

Observation 06f373d2-6df7-4611-bf3c-630293b6dd06 · outbound

This paper cites T-eval: Evaluating the tool utilization capability of large language models step by step.

Toward Efficient Agents: Memory, Tool learning, and Planning T-eval: Evaluating the tool utilization capability of large language models step by step

Reference 13

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source=pdf_text observed=2026-08-03T09:21:33.580191Z digest=sha256:79780b9b538b17b91f5b56828fa928983f19de9ace420945672ba2209a472795

Observation 38fa9ab9-586a-404f-96be-187b5f97a243 · outbound

This paper cites Agent-FLAN: Designing Data and Methods of Effective Agent Tuning for Large Language Models.

Toward Efficient Agents: Memory, Tool learning, and Planning Agent-FLAN: Designing Data and Methods of Effective Agent Tuning for Large Language Models

Reference 14

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source=pdf_text observed=2026-08-03T09:21:33.649879Z digest=sha256:c2720502a07305896a2f53d0a62ce2ec96d0d92a4af6de55cbded3d318940910

Observation 96f8571e-eac5-49df-aac4-9c29d899c861 · outbound

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

Toward Efficient Agents: Memory, Tool learning, and Planning Mem0: Building Production-Ready AI Agents with Scalable Long-Term Memory

Reference 15

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source=pdf_text observed=2026-08-03T09:21:33.719516Z digest=sha256:c4c1ea3cbefd4cdd770beebd883e515b3029d6428f650917bf5a0e7649d179d0

Observation 6e9d46b9-64d1-464d-b0a0-075173833642 · outbound

This paper cites Free-MAD: Consensus-Free Multi-Agent Debate.

Toward Efficient Agents: Memory, Tool learning, and Planning Free-MAD: Consensus-Free Multi-Agent Debate

Reference 16

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source=pdf_text observed=2026-08-03T09:21:33.800401Z digest=sha256:e3563711a072ca72715dc7ec51ae575c4bf57619df05ddea19b93f8a440f7cc7

Observation eed2dfeb-d8cb-4130-88b9-cbc78de05398 · outbound

This paper cites ToolCoder: A Systematic Code-Empowered Tool Learning Framework for Large Language Models.

Toward Efficient Agents: Memory, Tool learning, and Planning ToolCoder: A Systematic Code-Empowered Tool Learning Framework for Large Language Models

Reference 17

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source=pdf_text observed=2026-08-03T09:21:33.843234Z digest=sha256:7e4ac09c4f0fc1282a30378b842a44825fe225f6105a0045e185038a3b3157dc

Observation 3a5f7ed1-5318-4307-b0f3-11051529602d · outbound

This paper cites AnyTool: Self-reflective, hierarchical agents for large-scale API calls.

Toward Efficient Agents: Memory, Tool learning, and Planning AnyTool: Self-reflective, hierarchical agents for large-scale API calls

Reference 18

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source=pdf_text observed=2026-08-03T09:21:33.923266Z digest=sha256:e918220bfc26be0194329a8e256b3fdf7484fa6a5aba79af9189d11d9341c818

Observation 99c60687-ad5e-47dd-9045-d89bd603a2dc · outbound

This paper cites Tinyagent: Function calling at the edge.

Toward Efficient Agents: Memory, Tool learning, and Planning Tinyagent: Function calling at the edge

Reference 19

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source=pdf_text observed=2026-08-03T09:21:34.004778Z digest=sha256:98396663ec98ef4108be2899b15b41ee14a0ed400259570cc887ac90af4eec8f

Observation d0c5cdee-2697-48b6-a32a-f41a469369fe · outbound

This paper cites Cost-of-pass: An economic framework for evaluating language models.arXiv preprint arXiv:2504.13359, 2025.

Toward Efficient Agents: Memory, Tool learning, and Planning Cost-of-pass: An economic framework for evaluating language models.arXiv preprint arXiv:2504.13359, 2025

Reference 20

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source=pdf_text observed=2026-08-03T09:21:34.079017Z digest=sha256:7f2783e0373e87004511b25cb57ba24f0f68b5191505adbcbda349a6436ba496

Observation 896e0749-3f05-4d1a-844a-ffb38a17f9a2 · outbound

This paper cites LightMem: Lightweight and Efficient Memory-Augmented Generation.

Toward Efficient Agents: Memory, Tool learning, and Planning LightMem: Lightweight and Efficient Memory-Augmented Generation

Reference 21

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source=pdf_text observed=2026-08-03T09:21:34.187283Z digest=sha256:d89c87d02ea8a6167e720c7337dcf0fb77dbba70ba9132b0076c7b8a88530f38

Observation 8f431bec-d49d-4f73-a077-e2387f5fd81f · outbound

This paper cites ReTool: Reinforcement Learning for Strategic Tool Use in LLMs.

Toward Efficient Agents: Memory, Tool learning, and Planning ReTool: Reinforcement Learning for Strategic Tool Use in LLMs

Reference 22

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source=pdf_text observed=2026-08-03T09:21:34.256595Z digest=sha256:3fcb19bc1df35ab4286a30ca057724e23bbfba3733fa19a174e0f40278ad4167

Observation 752ac824-c44a-4220-9426-169036fc5778 · outbound

This paper cites BudgetMLAgent: A Cost-Effective LLM Multi-Agent system for Automating Machine Learning Tasks.

Toward Efficient Agents: Memory, Tool learning, and Planning BudgetMLAgent: A Cost-Effective LLM Multi-Agent system for Automating Machine Learning Tasks

Reference 23

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source=pdf_text observed=2026-08-03T09:21:34.359341Z digest=sha256:b8317e36788cbf15518c95d950474fddbbd5dec46455928535cf8d31fc7b7d1f

Observation 51a6cb35-b79b-4cc7-9e15-6a766db0391b · outbound

This paper cites Memory sharing for large language model based agents.arXiv preprint arXiv:2404.09982, 2024.

Toward Efficient Agents: Memory, Tool learning, and Planning Memory sharing for large language model based agents.arXiv preprint arXiv:2404.09982, 2024

Reference 24

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source=pdf_text observed=2026-08-03T09:21:34.451943Z digest=sha256:610ae0a2d981945017c2a57cff153a42f44013f3e1ba3c9292cfaa3708401436

Observation d61ff02f-6270-422f-a14e-926f9105e8a8 · outbound

This paper cites Efficient Tool Use with Chain-of-Abstraction Reasoning.

Toward Efficient Agents: Memory, Tool learning, and Planning Efficient Tool Use with Chain-of-Abstraction Reasoning

Reference 25

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source=pdf_text observed=2026-08-03T09:21:34.524100Z digest=sha256:659c770b2fc07fe08d7b399967785a5b00a698848500448518ba01168df3e2cc

Observation cdd9e361-897d-46cd-8c44-675ac3c55bc4 · outbound

This paper cites Mcp-radar: A multi-dimensional benchmark for evaluating tool use capabilities in large language models, 2025.

Toward Efficient Agents: Memory, Tool learning, and Planning Mcp-radar: A multi-dimensional benchmark for evaluating tool use capabilities in large language models, 2025

Reference 26

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source=pdf_text observed=2026-08-03T09:21:34.618766Z digest=sha256:7fa20654a79edf48fcd3863e35cd019bb7510226fb573aff68f7f6b3fbaf9879

Observation 83472e04-bd97-405d-8430-7e783eb03e11 · outbound

This paper cites Learning to forget: Continual prediction with lstm.Neural computation, 12(10):2451–2471, 2000.

Toward Efficient Agents: Memory, Tool learning, and Planning Learning to forget: Continual prediction with lstm.Neural computation, 12(10):2451–2471, 2000

Reference 27

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source=pdf_text observed=2026-08-03T09:21:34.728902Z digest=sha256:d57370c3b62121ca601b5e3dabc07c4c670e40a52ada5a11455ac4375c25c9dd

Observation 1bd60d80-31f8-4392-b65a-39868b56d6c7 · outbound

This paper cites an unresolved cited work.

Toward Efficient Agents: Memory, Tool learning, and Planning Unresolved cited work

Reference 28

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source=pdf_text observed=2026-08-03T09:21:34.777838Z digest=sha256:c096cdeb61143e953126b0d766338ca45d49ba81b45d325cf58e6e87e907fae2

Observation fb3e7c4b-8086-47a4-8245-c4ef6cc06164 · outbound

This paper cites Towards an AI co-scientist.

Toward Efficient Agents: Memory, Tool learning, and Planning Towards an AI co-scientist

Reference 29

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source=pdf_text observed=2026-08-03T09:21:34.908718Z digest=sha256:78a1b1a5acfdb07b4af4ab0ab7db251ea75f2bea63b2515b5a721dd4a2a163f5

Observation 20ee8583-fa32-4e82-8269-ef8aeed25810 · outbound

This paper cites StableToolBench: Towards Stable Large-Scale Benchmarking on Tool Learning of Large Language Models.

Toward Efficient Agents: Memory, Tool learning, and Planning StableToolBench: Towards Stable Large-Scale Benchmarking on Tool Learning of Large Language Models

Reference 30

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source=pdf_text observed=2026-08-03T09:21:34.979167Z digest=sha256:8d3d02c9517e04417846b42391eaf5921b73ccc843b71d990fedfe43fbc55954

Observation 1e063aae-f4f5-449f-9673-8b03624a0f9e · outbound

This paper cites Legomem: Modular procedural memory for multi-agent llm systems for workflow automation.

Toward Efficient Agents: Memory, Tool learning, and Planning Legomem: Modular procedural memory for multi-agent llm systems for workflow automation

Reference 31

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source=pdf_text observed=2026-08-03T09:21:35.115026Z digest=sha256:3bdc1cc42cf8a41b295e7fb9a546799648b58622a587fd77fc3631a3cae620dc

Observation 7d38cb52-5598-483f-84fe-03b8ec11ab1d · outbound

This paper cites NesTools: A Dataset for Evaluating Nested Tool Learning Abilities of Large Language Models.

Toward Efficient Agents: Memory, Tool learning, and Planning NesTools: A Dataset for Evaluating Nested Tool Learning Abilities of Large Language Models

Reference 32

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source=pdf_text observed=2026-08-03T09:21:35.231304Z digest=sha256:fc64c0f0b288821941825ebf22f230761d22e99b6671155e9dcee2ba90570007

Observation 54d84ce5-51a2-4b18-a040-19a105b7242a · outbound

This paper cites Toolkengpt: Augmenting frozen language models with massive tools via tool embeddings.

Toward Efficient Agents: Memory, Tool learning, and Planning Toolkengpt: Augmenting frozen language models with massive tools via tool embeddings

Reference 33

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source=pdf_text observed=2026-08-03T09:21:35.349702Z digest=sha256:0f603e28bba1c459f48e182c9441eb374c1a8b00470c6e6cf9596fd8ce81572b

Observation 4300c3e1-2cdf-440c-a19c-e6b095d44f03 · outbound

This paper cites WebVoyager: Building an end-to-end web agent with large multimodal models.

Toward Efficient Agents: Memory, Tool learning, and Planning WebVoyager: Building an end-to-end web agent with large multimodal models

Reference 34

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source=pdf_text observed=2026-08-03T09:21:35.464008Z digest=sha256:b58bfc2c7292da25f313a7bc64c349cd16dc0a62e178a72b3292106c7012ff1b

Observation 4121356e-366c-4c97-a37b-4a28c41705ca · outbound

This paper cites Diffthinker: Towards generative multimodal reasoning with diffusion models.arXiv preprint arXiv:2512.24165, 2025.

Toward Efficient Agents: Memory, Tool learning, and Planning Diffthinker: Towards generative multimodal reasoning with diffusion models.arXiv preprint arXiv:2512.24165, 2025

Reference 35

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source=pdf_text observed=2026-08-03T09:21:35.715232Z digest=sha256:e0a35c705aaf81706012bc23c24aa670cdaecfe5d6d31839615fc850b3c75755

Observation a83ea6ae-1567-47f1-b4f5-27b426547087 · outbound

This paper cites Planning without search: Refining frontier llms with offline goal-conditioned rl, 2025.

Toward Efficient Agents: Memory, Tool learning, and Planning Planning without search: Refining frontier llms with offline goal-conditioned rl, 2025

Reference 36

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source=pdf_text observed=2026-08-03T09:21:35.777067Z digest=sha256:ecb75166918549df5fab06ffbae504b5b08f1fafdccdb0afb00e708726cd88ef

Observation bc0dae43-11e9-418e-9213-804c27dc1400 · outbound

This paper cites Metagpt: Meta programming for a multi- agent collaborative framework.

Toward Efficient Agents: Memory, Tool learning, and Planning Metagpt: Meta programming for a multi- agent collaborative framework

Reference 37

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source=pdf_text observed=2026-08-03T09:21:35.859334Z digest=sha256:5fee80290bbee3b9068fbe889679a843be69aa1b4248f18a66304d985e749999

Observation 20cf7606-8709-4189-a7e2-ebf0e969e202 · outbound

This paper cites Cogagent: Avisual language modelforgui agents.

Toward Efficient Agents: Memory, Tool learning, and Planning Cogagent: Avisual language modelforgui agents

Reference 38

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source=pdf_text observed=2026-08-03T09:21:35.969830Z digest=sha256:195e50f5a77b32646cbc3c466f5279f68dfc86fd8d1d8de10c631911fa940bcc

Observation c3dd3400-2d92-42d1-9147-93067591c89b · outbound

This paper cites my agent understands me better.

Toward Efficient Agents: Memory, Tool learning, and Planning my agent understands me better

Reference 39

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source=pdf_text observed=2026-08-03T09:21:36.042220Z digest=sha256:7091cc1e74e04434c0acaeb413c0447e15e3b5d14b37e84221b1ae3ba6f7a8a0

Observation fb2393e6-3d25-476c-b7e1-dfcdeca7ff60 · outbound

This paper cites Hiagent: Hierar- chical working memory management for solving long-horizon agent tasks with large language model.

Toward Efficient Agents: Memory, Tool learning, and Planning Hiagent: Hierar- chical working memory management for solving long-horizon agent tasks with large language model

Reference 40

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source=pdf_text observed=2026-08-03T09:21:36.114716Z digest=sha256:4c36922ccd6d67af4a1df3d1966adac2f9899917b1fe29ebf23d424f3d693d02

Observation ce6a98af-01ee-4af3-a5b5-50a5ca6356c1 · outbound

This paper cites Planning, Creation, Usage: Benchmarking LLMs for Comprehensive Tool Utilization in Real-World Complex Scenarios.

Toward Efficient Agents: Memory, Tool learning, and Planning Planning, Creation, Usage: Benchmarking LLMs for Comprehensive Tool Utilization in Real-World Complex Scenarios

Reference 41

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source=pdf_text observed=2026-08-03T09:21:36.199978Z digest=sha256:f3d5c50cb62d1596ccb10cebbe5034dc6bac7cbd30ecd37ff4f3fa1d28fa259d

Observation ad97d443-4774-437f-b967-c37f48d6ce05 · outbound

This paper cites MetaTool Benchmark for Large Language Models: Deciding Whether to Use Tools and Which to Use.

Toward Efficient Agents: Memory, Tool learning, and Planning MetaTool Benchmark for Large Language Models: Deciding Whether to Use Tools and Which to Use

Reference 42

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source=pdf_text observed=2026-08-03T09:21:36.280577Z digest=sha256:f65645b9bb9555c784e1f1064c91539878b539734ae4e96d909d22cfcf8e71b4

Observation 6079eaaa-96a9-41c0-bb31-bd7465ac2de2 · outbound

This paper cites Reinforced Internal-External Knowledge Synergistic Reasoning for Efficient Adaptive Search Agent.

Toward Efficient Agents: Memory, Tool learning, and Planning Reinforced Internal-External Knowledge Synergistic Reasoning for Efficient Adaptive Search Agent

Reference 43

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source=pdf_text observed=2026-08-03T09:21:36.356795Z digest=sha256:dcf121a37936f20a819459f240ec441b5372a2842e5e6d525b61c7ed430c5e38

Observation e1d9baf2-6c39-4f9f-bedb-668c32fce50f · outbound

This paper cites GPT-4o System Card.

Toward Efficient Agents: Memory, Tool learning, and Planning GPT-4o System Card

Reference 44

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source=pdf_text observed=2026-08-03T09:21:36.440222Z digest=sha256:2f8368fd03836ec3b412764bc9dc7e7dcb32740893b927c529c6b6fe0e3630ba

Observation 3c8c4177-a9f3-4cb5-8a7f-7503affc50ad · outbound

This paper cites TableMind: An Autonomous Programmatic Agent for Tool-Augmented Table Reasoning.

Toward Efficient Agents: Memory, Tool learning, and Planning TableMind: An Autonomous Programmatic Agent for Tool-Augmented Table Reasoning

Reference 45

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source=pdf_text observed=2026-08-03T09:21:36.494112Z digest=sha256:688ebd0e0b72694cfff6e0391daf3ff6b314a9d8975c35e3b9bbbd882ac8bbe8

Observation a6e5dd17-27f6-42f7-a094-bd91f37b44a1 · outbound

This paper cites KG-agent: An efficient autonomous agent framework for complex reasoning over knowledge graph.

Toward Efficient Agents: Memory, Tool learning, and Planning KG-agent: An efficient autonomous agent framework for complex reasoning over knowledge graph

Reference 46

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source=pdf_text observed=2026-08-03T09:21:36.553147Z digest=sha256:0805ac53352d27986b8ee49d28811338bea0b49162e3f0f6f9d53ae017333d75

Observation a0f3d9d3-553d-43ba-aa33-8b4c9192386a · outbound

This paper cites SWE-bench: Can language models resolve real-world github issues? InThe Twelfth International Conference on Learning Representations, 2024.

Toward Efficient Agents: Memory, Tool learning, and Planning SWE-bench: Can language models resolve real-world github issues? InThe Twelfth International Conference on Learning Representations, 2024

Reference 47

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source=pdf_text observed=2026-08-03T09:21:36.628850Z digest=sha256:05359c4dda4ad105066534aca8b09420d33702d6cffa20b6c2c41935e8ab84df

Observation 4248f289-9767-471b-b158-a02f0cb39e2b · outbound

This paper cites Benchmark for planning and control with large language model agents: Blocksworld with model context protocol.arXiv preprint arXiv:2512.03955, 2025.

Toward Efficient Agents: Memory, Tool learning, and Planning Benchmark for planning and control with large language model agents: Blocksworld with model context protocol.arXiv preprint arXiv:2512.03955, 2025

Reference 48

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source=pdf_text observed=2026-08-03T09:21:36.743923Z digest=sha256:0d62e27d83149264746362b4c1d73cee80262b64b01d1b193e37f838c8267a34

Observation f6be6846-c53a-4160-a25c-b4443e26e093 · outbound

This paper cites Memory OS of AI agent.

Toward Efficient Agents: Memory, Tool learning, and Planning Memory OS of AI agent

Reference 49

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source=pdf_text observed=2026-08-03T09:21:36.821627Z digest=sha256:2f6b4a8f9928f45ec1e04c0c7e1309c3a4926625f1d80e0e46a41c46c7440f2b

Observation 7b233e19-56da-4a18-8183-059c31161fa3 · outbound

This paper cites Distilling llm agent into small models with retrieval and code tools, 2025.

Toward Efficient Agents: Memory, Tool learning, and Planning Distilling llm agent into small models with retrieval and code tools, 2025

Reference 50

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source=pdf_text observed=2026-08-03T09:21:36.885088Z digest=sha256:b763c526c6985378d2b5b58657209ca7eb4eac80ec9305982da342ecb2bbd7e5

Observation 94aca765-928a-4ebc-b252-ab1f7bcd085a · outbound

This paper cites An llm compiler for parallel function calling.

Toward Efficient Agents: Memory, Tool learning, and Planning An llm compiler for parallel function calling

Reference 51

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source=pdf_text observed=2026-08-03T09:21:36.971942Z digest=sha256:c8f3bd631ed282250db2064bdc5e5fa644b12cef3ac550e8accebd145df25baf

Observation 14a6671d-96c9-485c-a4b5-bcc65a9b5505 · outbound

This paper cites Dai, Jakob Uszkoreit, Quoc Le, and Slav Petrov.

Toward Efficient Agents: Memory, Tool learning, and Planning Dai, Jakob Uszkoreit, Quoc Le, and Slav Petrov

Reference 52

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source=pdf_text observed=2026-08-03T09:21:37.030210Z digest=sha256:dea8a19c6609aed74c2233aaffd4c3a44292b900348573d312ceec148587c7da

Observation d7c5b6b5-4754-482f-8afb-5f372f1e59df · outbound

This paper cites Convolutional networks for images, speech, and time series.The handbook of brain theory and neural networks, 1998.

Toward Efficient Agents: Memory, Tool learning, and Planning Convolutional networks for images, speech, and time series.The handbook of brain theory and neural networks, 1998

Reference 53

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source=pdf_text observed=2026-08-03T09:21:37.082374Z digest=sha256:f11b31411e5e8e01b29edc8e78cca7091c1c375d8cd48ef239fab222635234d9

Observation 8e689c0b-3802-4e90-aa3d-a1bacd0bc1e2 · outbound

This paper cites A human-inspired reading agent with gist memory of very long contexts.

Toward Efficient Agents: Memory, Tool learning, and Planning A human-inspired reading agent with gist memory of very long contexts

Reference 54

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source=pdf_text observed=2026-08-03T09:21:37.144490Z digest=sha256:d81986075fc9dd1bbae9867f957ccada81b230e198f08e17abac4376fc7dc5ad

Observation 322efaba-95a6-464e-8aa4-d04272ba443c · outbound

This paper cites D-smart: Enhancingllmdialogueconsistencyviadynamicstructured memory and reasoning tree.arXiv preprint arXiv:2510.13363, 2025.

Toward Efficient Agents: Memory, Tool learning, and Planning D-smart: Enhancingllmdialogueconsistencyviadynamicstructured memory and reasoning tree.arXiv preprint arXiv:2510.13363, 2025

Reference 55

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source=pdf_text observed=2026-08-03T09:21:37.196681Z digest=sha256:5cb3bcd94ccd3fb820e6f704e6b9ffcfcecc92216f334c1b423bd7c8368cc22b

Observation f4b18201-4260-4afb-974d-c596c5d93c1d · outbound

This paper cites Camel: Commu- nicative agents for" mind" exploration of large language model society.Advances in Neural Information Processing Systems, 36:51991–52008, 2023.

Toward Efficient Agents: Memory, Tool learning, and Planning Camel: Commu- nicative agents for" mind" exploration of large language model society.Advances in Neural Information Processing Systems, 36:51991–52008, 2023

Reference 56

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source=pdf_text observed=2026-08-03T09:21:37.268309Z digest=sha256:35e0f818774fe036c78cbfc5b0a7922d580d9d9cb61ddd649a3a3e2b4f0e613b

Observation 5dcd4162-f908-4c01-8cd6-bef4f87248b3 · outbound

This paper cites Hello again! llm-powered personalized agent for long-term dialogue.

Toward Efficient Agents: Memory, Tool learning, and Planning Hello again! llm-powered personalized agent for long-term dialogue

Reference 57

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source=pdf_text observed=2026-08-03T09:21:37.331318Z digest=sha256:717282d084b034abbaf150d9fd6d7be55c3d65c9eace044ba9d5f34c8b43a821

Observation 2d922c67-e76f-4dd9-8099-4a40793db628 · outbound

This paper cites Seek in the dark: Reasoning via test-time instance-level policy gradient in latent space, 2025.

Toward Efficient Agents: Memory, Tool learning, and Planning Seek in the dark: Reasoning via test-time instance-level policy gradient in latent space, 2025

Reference 58

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source=pdf_text observed=2026-08-03T09:21:37.415481Z digest=sha256:c4d8de3128aec2f664b7a1068803d6612a8cec92feddb7859a829a79db8bdd37

Observation 2aadaafc-7fc4-4b48-b1f7-c8a1cb07346b · outbound

This paper cites API-bank: A comprehensive benchmark for tool-augmented LLMs.

Toward Efficient Agents: Memory, Tool learning, and Planning API-bank: A comprehensive benchmark for tool-augmented LLMs

Reference 59

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source=pdf_text observed=2026-08-03T09:21:37.494275Z digest=sha256:f3d3ee97d76e7fc72ef8067f077de1533f52560debce15aa16b5e115fcf83f90

Observation 15d902ba-bdde-474b-aefd-31669c493d90 · outbound

This paper cites GraphReader: Building graph-based agent to enhance long-context abilities of large language models.

Toward Efficient Agents: Memory, Tool learning, and Planning GraphReader: Building graph-based agent to enhance long-context abilities of large language models

Reference 60

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source=pdf_text observed=2026-08-03T09:21:37.586887Z digest=sha256:a962454e923e755f98b6ac77abbd92b30ddc5bd4694ac316136bd726dcf636e2

Observation c7edb603-bdec-4aa8-a829-55efa5cd3956 · outbound

This paper cites Optimus-1: Hybrid multimodal memory empowered agents excel in long-horizon tasks.Advances in neural information processing systems, 37:49881–49913, 2024.

Toward Efficient Agents: Memory, Tool learning, and Planning Optimus-1: Hybrid multimodal memory empowered agents excel in long-horizon tasks.Advances in neural information processing systems, 37:49881–49913, 2024

Reference 61

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source=pdf_text observed=2026-08-03T09:21:37.674892Z digest=sha256:305a0f5b9ee1d20a674e2d7b1112116a1a795e62c5a756f98c4581336fe2a0a3

Observation 9bbb342f-ef02-4469-84c5-6a21c09fd136 · outbound

This paper cites Encouraging Good Processes Without the Need for Good Answers: Reinforcement Learning for LLM Agent Planning.

Toward Efficient Agents: Memory, Tool learning, and Planning Encouraging Good Processes Without the Need for Good Answers: Reinforcement Learning for LLM Agent Planning

Reference 62

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source=pdf_text observed=2026-08-03T09:21:37.725866Z digest=sha256:c17da98a6316cafe6bfc07cf0acdfd7a9a259619a461910863c0c4ef940f647f

Observation e16c50f8-406e-4207-8dfe-e93c1d9019de · outbound

This paper cites MemOS: A Memory OS for AI System.

Toward Efficient Agents: Memory, Tool learning, and Planning MemOS: A Memory OS for AI System

Reference 63

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source=pdf_text observed=2026-08-03T09:21:37.792152Z digest=sha256:13cc77e1d311b4271a4d98af0e516ec6c422da9ca40ae2e2e3eebb3d56c95df2

Observation 45ae83e9-3a82-4e05-909b-d4179d9b329f · outbound

This paper cites SwiftSage: A Generative Agent with Fast and Slow Thinking for Complex Interactive Tasks.

Toward Efficient Agents: Memory, Tool learning, and Planning SwiftSage: A Generative Agent with Fast and Slow Thinking for Complex Interactive Tasks

Reference 64

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source=pdf_text observed=2026-08-03T09:21:37.853241Z digest=sha256:c4e9d2b443c57998722ba9418fb46684aee61fb93ac5f5f62cfd1c5c65d6d03a

Observation f85dd198-16f7-40c8-a237-320cb95ef6e3 · outbound

This paper cites Graph-enhanced Large Language Models in Asynchronous Plan Reasoning.

Toward Efficient Agents: Memory, Tool learning, and Planning Graph-enhanced Large Language Models in Asynchronous Plan Reasoning

Reference 65

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source=pdf_text observed=2026-08-03T09:21:37.905119Z digest=sha256:41546acc5623236fa94595a126ff1ea4870638c9d6a5de72d5e6d8662fc22115

Observation 20f69a48-36f4-42b2-9b33-b00ddd522445 · outbound

This paper cites Stop wasting your tokens: Towards efficient runtime multi-agent systems.arXiv preprint arXiv:2510.26585, 2025.

Toward Efficient Agents: Memory, Tool learning, and Planning Stop wasting your tokens: Towards efficient runtime multi-agent systems.arXiv preprint arXiv:2510.26585, 2025

Reference 66

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source=pdf_text observed=2026-08-03T09:21:38.052409Z digest=sha256:8c09a8cb6a9e2dbffb8cb526002ae02a57295f177c8f6086f402cd360d5f2599

Observation e7bfb37c-3499-4b1f-8335-979f89b7ab03 · outbound

This paper cites QLASS: Boosting Language Agent Inference via Q-Guided Stepwise Search.

Toward Efficient Agents: Memory, Tool learning, and Planning QLASS: Boosting Language Agent Inference via Q-Guided Stepwise Search

Reference 67

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source=pdf_text observed=2026-08-03T09:21:38.122828Z digest=sha256:f0e1f7ca00cee804f306c00c252d9a83085786a54af4a1e3987df8324cebded3

Observation 72ae211f-f97f-4dec-88e8-fde96dc5d8ff · outbound

This paper cites CostBench: Evaluating Multi-Turn Cost-Optimal Planning and Adaptation in Dynamic Environments for LLM Tool-Use Agents.

Toward Efficient Agents: Memory, Tool learning, and Planning CostBench: Evaluating Multi-Turn Cost-Optimal Planning and Adaptation in Dynamic Environments for LLM Tool-Use Agents

Reference 68

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source=pdf_text observed=2026-08-03T09:21:38.206487Z digest=sha256:7cafe106db577ff87ed8a83b064261692afc2289b5d989b7b0d2b90b5f5b75b3

Observation ada2545f-ead5-4804-8c81-bb2dbdd521c1 · outbound

This paper cites RCR-Router: Efficient Role-Aware Context Routing for Multi-Agent LLM Systems with Structured Memory.

Toward Efficient Agents: Memory, Tool learning, and Planning RCR-Router: Efficient Role-Aware Context Routing for Multi-Agent LLM Systems with Structured Memory

Reference 69

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source=pdf_text observed=2026-08-03T09:21:38.288048Z digest=sha256:75d8fa290e51434c2f82854022276001e5846836f1dec5133ff570c4ba52d6f8

Observation bc9319f8-2e6a-49ae-87d4-397d8729303d · outbound

This paper cites Toolscope: Enhancing llm agent tool use through tool merging and context-aware filtering,.

Toward Efficient Agents: Memory, Tool learning, and Planning Toolscope: Enhancing llm agent tool use through tool merging and context-aware filtering,

Reference 70

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source=pdf_text observed=2026-08-03T09:21:38.372463Z digest=sha256:9047b2ce5b445d62a4c99b4d4d1a69593946149809a369f993d75be5bffa1f8b

Observation 4f2e88de-1c33-4bcb-b58c-f75f69e75879 · outbound

This paper cites Lost in the middle: How language models use long contexts.Transactions of the Association for Computational Linguistics, 12:157–173, 2024.

Toward Efficient Agents: Memory, Tool learning, and Planning Lost in the middle: How language models use long contexts.Transactions of the Association for Computational Linguistics, 12:157–173, 2024

Reference 71

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source=pdf_text observed=2026-08-03T09:21:38.518720Z digest=sha256:e40d9bd0c7bbfd6875fff3428b69c2bd618bfaad80d8e42d664abd43ce46b4ca

Observation c5e5e3ec-0b41-4464-a183-d20676753b23 · outbound

This paper cites Budget-aware tool-use enables effective agent scaling, 2025.

Toward Efficient Agents: Memory, Tool learning, and Planning Budget-aware tool-use enables effective agent scaling, 2025

Reference 72

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source=pdf_text observed=2026-08-03T09:21:38.600837Z digest=sha256:ac8b60d427dc82e2b398bf8df0d55fb8e1d01cd4fb11e4500a37e7bf20406b51

Observation d3e3ec54-736e-49d7-abfc-e7bdcdb17ef3 · outbound

This paper cites Groupdebate: Enhancing the efficiency of multi-agent debate using group discussion.arXiv preprint arXiv:2409.14051, 2024.

Toward Efficient Agents: Memory, Tool learning, and Planning Groupdebate: Enhancing the efficiency of multi-agent debate using group discussion.arXiv preprint arXiv:2409.14051, 2024

Reference 73

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source=pdf_text observed=2026-08-03T09:21:38.684047Z digest=sha256:67241ff3c45e29e6c14915d066472caf44c117c5aad5bfa3c291f1e2c69e9d7b

Observation da9d842c-fb0b-409a-9eac-67a320d0e116 · outbound

This paper cites InfiGUIAgent: A Multimodal Generalist GUI Agent with Native Reasoning and Reflection.

Toward Efficient Agents: Memory, Tool learning, and Planning InfiGUIAgent: A Multimodal Generalist GUI Agent with Native Reasoning and Reflection

Reference 74

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source=pdf_text observed=2026-08-03T09:21:38.736786Z digest=sha256:1dffa65834a664862078f298b3df1326f09c701c350f0ee0302bea2fff5f506d

Observation 651d74e8-9cbf-463a-83cf-ce5807ce259f · outbound

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

Toward Efficient Agents: Memory, Tool learning, and Planning The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery

Reference 75

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source=pdf_text observed=2026-08-03T09:21:38.808252Z digest=sha256:ce290fc0609648994603f65b98e510da2e3223eeb4ec115994322b006f09cede

Observation bdfe5e82-71e2-4c0c-af81-ce2bcce1cc25 · outbound

This paper cites MemoChat: Tuning LLMs to Use Memos for Consistent Long-Range Open-Domain Conversation.

Toward Efficient Agents: Memory, Tool learning, and Planning MemoChat: Tuning LLMs to Use Memos for Consistent Long-Range Open-Domain Conversation

Reference 76

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source=pdf_text observed=2026-08-03T09:21:38.865918Z digest=sha256:9eda70d7f304d0a042a4653974b2a1c141fc6ea5524a3bed9c87963b96318e38

Observation 4103d44a-bc6b-4c06-8de7-e5422b1f164f · outbound

This paper cites Toolshed: Scale Tool-Equipped Agents with Advanced RAG-Tool Fusion and Tool Knowledge Bases.

Toward Efficient Agents: Memory, Tool learning, and Planning Toolshed: Scale Tool-Equipped Agents with Advanced RAG-Tool Fusion and Tool Knowledge Bases

Reference 77

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source=pdf_text observed=2026-08-03T09:21:38.925211Z digest=sha256:79d77b815a631438b76d935c36948c847f99c0026eb45c9a562165d9217d8f69

Observation 683abec8-e12b-47d0-9ce3-5afd08ac6b6e · outbound

This paper cites SciAgent: Tool-augmented Language Models for Scientific Reasoning.

Toward Efficient Agents: Memory, Tool learning, and Planning SciAgent: Tool-augmented Language Models for Scientific Reasoning

Reference 78

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source=pdf_text observed=2026-08-03T09:21:38.987928Z digest=sha256:9e362c7504df4e30e492f020bf2f2f1c0aff1872852ba25b2ab9b3f905982be7

Observation 3601df2b-0c42-4713-b380-b46edd0c0ace · outbound

This paper cites Evaluating very long-term conversational memory of LLM agents.

Toward Efficient Agents: Memory, Tool learning, and Planning Evaluating very long-term conversational memory of LLM agents

Reference 79

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source=pdf_text observed=2026-08-03T09:21:39.050709Z digest=sha256:652d303b80114d0bbd88c6d7aef952cd1ba91061b159dfe293a2ca57bb0142e5

Observation 4477cfcf-b7d2-43b3-8e33-963646ff9f50 · outbound

This paper cites Gaia: a benchmarkforgeneralaiassistants.

Toward Efficient Agents: Memory, Tool learning, and Planning Gaia: a benchmarkforgeneralaiassistants

Reference 80

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source=pdf_text observed=2026-08-03T09:21:39.109824Z digest=sha256:7f87795eb8f48fe8d749ca719a0bc267302b6a1bea78ab5be2ce6541fede83a5

Observation f40ece36-cef3-461e-9661-aa33357af025 · outbound

This paper cites Efficient and Scalable Estimation of Tool Representations in Vector Space.

Toward Efficient Agents: Memory, Tool learning, and Planning Efficient and Scalable Estimation of Tool Representations in Vector Space

Reference 81

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source=pdf_text observed=2026-08-03T09:21:39.171841Z digest=sha256:afe04e152447cfca8d7ca7e191771011bb0aaed02df776cb41a8b6889d65c593

Observation fbaaf212-6841-4168-99cc-7d87f4b8b67c · outbound

This paper cites AlphaEvolve: A coding agent for scientific and algorithmic discovery.

Toward Efficient Agents: Memory, Tool learning, and Planning AlphaEvolve: A coding agent for scientific and algorithmic discovery

Reference 82

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source=pdf_text observed=2026-08-03T09:21:39.263268Z digest=sha256:a01926eb6ba3dbaa4c833f15f3713bdf8a298d70129302520f43a760947de7c8

Observation 309f7089-5a3b-46ff-b251-015d0dd85304 · outbound

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

Toward Efficient Agents: Memory, Tool learning, and Planning ReasoningBank: Scaling Agent Self-Evolving with Reasoning Memory

Reference 83

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source=pdf_text observed=2026-08-03T09:21:39.365445Z digest=sha256:7049c4f755a495b211ac0affd1091214c358045d071be4aabc60cbd8d549cf0e

Observation 98ce77ad-a6d1-4272-b249-e90587be6069 · outbound

This paper cites MemGPT: Towards LLMs as Operating Systems.

Toward Efficient Agents: Memory, Tool learning, and Planning MemGPT: Towards LLMs as Operating Systems

Reference 84

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source=pdf_text observed=2026-08-03T09:21:39.474568Z digest=sha256:adffd9eb7dcb54ba06fc2570b1afd69e07c93a42cef574dbdae49da209117516

Observation 4d073623-71f4-448c-9480-dfc29628b40f · outbound

This paper cites Learning when to plan: Efficiently allocating test-time compute for llm agents, 2025.

Toward Efficient Agents: Memory, Tool learning, and Planning Learning when to plan: Efficiently allocating test-time compute for llm agents, 2025

Reference 85

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source=pdf_text observed=2026-08-03T09:21:39.568482Z digest=sha256:ca09234ac3a985df13ef8c71cfdef3f3183b796ae5c9670d60283a678864fd14

Observation ccbc07ce-699e-4ccc-a981-5b1599b00bf2 · outbound

This paper cites Secom: On memory construction and retrieval for personalized conversational agents.

Toward Efficient Agents: Memory, Tool learning, and Planning Secom: On memory construction and retrieval for personalized conversational agents

Reference 86

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source=pdf_text observed=2026-08-03T09:21:39.665291Z digest=sha256:df74bef18284f4b82ecb2150763287de4cde625c7192255598faa6e90793879b

Observation b95ad98c-cb82-4b9a-b837-8b9e182239ab · outbound

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

Toward Efficient Agents: Memory, Tool learning, and Planning Generative agents: Interactive simulacra of human behavior

Reference 87

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source=pdf_text observed=2026-08-03T09:21:39.796164Z digest=sha256:eeaa0d1b74bfd93bf3c2b67ab786b5abebb8d71b1cc2368dd45f680d2524f077

Observation c48f5862-bf56-4fb5-a5ba-dc36d6477589 · outbound

This paper cites Patil, Huanzhi Mao, Charlie Cheng-Jie Ji, Fanjia Yan, Vishnu Suresh, Ion Stoica, and Joseph E.

Toward Efficient Agents: Memory, Tool learning, and Planning Patil, Huanzhi Mao, Charlie Cheng-Jie Ji, Fanjia Yan, Vishnu Suresh, Ion Stoica, and Joseph E

Reference 88

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source=pdf_text observed=2026-08-03T09:21:39.983428Z digest=sha256:3d1b75e833c97774fc0046975b015bb81bfed967e65ace72cceb9e160c6ec3a0

Observation 144e0341-44c8-416f-b268-364d6005d727 · outbound

This paper cites SealQA: Raising the Bar for Reasoning in Search-Augmented Language Models.

Toward Efficient Agents: Memory, Tool learning, and Planning SealQA: Raising the Bar for Reasoning in Search-Augmented Language Models

Reference 89

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source=pdf_text observed=2026-08-03T09:21:40.124717Z digest=sha256:d0caf1c8a10146825d6c213fad3d2b2db58dd0f196757bb537035872b62ae1d0

Observation c7a3cfe4-0fcd-4503-81d5-58131dc24e86 · outbound

This paper cites Consensagent: Towards efficient and effective consensus in multi-agent llm interactions through sycophancy mitigation.

Toward Efficient Agents: Memory, Tool learning, and Planning Consensagent: Towards efficient and effective consensus in multi-agent llm interactions through sycophancy mitigation

Reference 90

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source=pdf_text observed=2026-08-03T09:21:40.246506Z digest=sha256:a681d5ed02f11cce53eaab1954a6676f4e995e6c69b5f113948468c1b1beb553

Observation 19c19a19-f081-4ce8-b363-75da2db9b538 · outbound

This paper cites Scaling Large Language Model-based Multi-Agent Collaboration.

Toward Efficient Agents: Memory, Tool learning, and Planning Scaling Large Language Model-based Multi-Agent Collaboration

Reference 91

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source=pdf_text observed=2026-08-03T09:21:40.335251Z digest=sha256:abcaf1c23e5d565c1843c1c04e6c3690d9d826d2619627ef134e76ae1dff246d

Observation a49fed1b-915c-434b-b100-db8055b9e7aa · outbound

This paper cites ToolRL: Reward is All Tool Learning Needs.

Toward Efficient Agents: Memory, Tool learning, and Planning ToolRL: Reward is All Tool Learning Needs

Reference 92

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source=pdf_text observed=2026-08-03T09:21:40.391396Z digest=sha256:bb935622a668d4dc1cade90a1e637ea269bc4814012b5393f1c5cd436c6eb335

Observation 92669ec0-399b-4f0a-9ab2-448e7d6f5cb5 · outbound

This paper cites Smart: Self-aware agent for tool overuse mitigation.

Toward Efficient Agents: Memory, Tool learning, and Planning Smart: Self-aware agent for tool overuse mitigation

Reference 93

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source=pdf_text observed=2026-08-03T09:21:40.493797Z digest=sha256:d39e105761e0dd1cd3dfa2748aaed9dea92f21cd1d4d907f72a3dc5fbbf872a5

Observation 7821de4a-54f3-483d-a3ec-870de57808f6 · outbound

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

Toward Efficient Agents: Memory, Tool learning, and Planning MemoRAG: Boosting Long Context Processing with Global Memory-Enhanced Retrieval Augmentation

Reference 94

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source=pdf_text observed=2026-08-03T09:21:40.574746Z digest=sha256:c4e304ce45f7b959f83edf3a86f525264d3f4b4d17521dcc338ff233f1d9e3b6

Observation 65c2ee9d-384f-4318-b09b-0281d5b6ee5c · outbound

This paper cites ToolLLM: Facilitating large language models to master 16000+ real-world APIs.

Toward Efficient Agents: Memory, Tool learning, and Planning ToolLLM: Facilitating large language models to master 16000+ real-world APIs

Reference 95

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source=pdf_text observed=2026-08-03T09:21:40.672071Z digest=sha256:dfa8057d16770059f9238ac39d41099b674c4deb5e17b5cdba48619e1af05324

Observation f4a8091b-7490-48a4-a116-ca3a25854629 · outbound

This paper cites Alita: Generalist Agent Enabling Scalable Agentic Reasoning with Minimal Predefinition and Maximal Self-Evolution.

Toward Efficient Agents: Memory, Tool learning, and Planning Alita: Generalist Agent Enabling Scalable Agentic Reasoning with Minimal Predefinition and Maximal Self-Evolution

Reference 96

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source=pdf_text observed=2026-08-03T09:21:40.747191Z digest=sha256:d953c4fd793ada189fb6a1e674860399e435e84274f5d20204af868ed5cb6bde

Observation a4957c9b-c3b2-428b-aa15-5033655b354d · outbound

This paper cites From exploration to mastery: Enabling llms to master tools via self-driven interactions.

Toward Efficient Agents: Memory, Tool learning, and Planning From exploration to mastery: Enabling llms to master tools via self-driven interactions

Reference 97

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source=pdf_text observed=2026-08-03T09:21:40.830363Z digest=sha256:931dd1ad4d7e3e691fe62a9eeee61dfa33062325b3dc3596a291e3a33a790b62

Observation a3acf5bc-d0a8-43c8-aa9c-b65d59eb4c93 · outbound

This paper cites A survey of efficient reasoning for large reasoning models: Language, multimodality, and beyond.arXiv preprint arXiv:2503.21614, 2025.

Toward Efficient Agents: Memory, Tool learning, and Planning A survey of efficient reasoning for large reasoning models: Language, multimodality, and beyond.arXiv preprint arXiv:2503.21614, 2025

Reference 98

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source=pdf_text observed=2026-08-03T09:21:40.905789Z digest=sha256:4cd589b100c66b1e257afe847c45294a4b5e693679af15d83e9406c2d1f6f0ac

Observation 5804efcf-94f1-4c6b-a5c3-1a8341b0d651 · outbound

This paper cites Zep: A Temporal Knowledge Graph Architecture for Agent Memory.

Toward Efficient Agents: Memory, Tool learning, and Planning Zep: A Temporal Knowledge Graph Architecture for Agent Memory

Reference 99

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source=pdf_text observed=2026-08-03T09:21:40.959816Z digest=sha256:d8b8c1632d91007223b9d218e07b5a51aa96ea20a943681cc384c5c19b84a50d

Observation ae64c634-6a93-468d-b8dc-e4f311d065f6 · outbound

This paper cites Collaborative Memory: Multi-User Memory Sharing in LLM Agents with Dynamic Access Control.

Toward Efficient Agents: Memory, Tool learning, and Planning Collaborative Memory: Multi-User Memory Sharing in LLM Agents with Dynamic Access Control

Reference 100

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source=pdf_text observed=2026-08-03T09:21:41.009387Z digest=sha256:0a491f35d4bd2c82f2fb3ccc6bb162a10cd8f190c01156304f3f8e77c9e60009

Pith citing papers

Observation 91a3eaeb-71ce-4ac3-8d52-32ecaca603f9 · inbound

Hackers or Hallucinators? A Comprehensive Analysis of LLM-Based Automated Penetration Testing cites this paper.

Hackers or Hallucinators? A Comprehensive Analysis of LLM-Based Automated Penetration Testing Toward Efficient Agents: Memory, Tool learning, and Planning

Reference 127

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arxiv_id, observed 2026-07-07T02:16:02.482997Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T18:52:57.225878Z digest=sha256:888de64cde324fb6c96180b5c8af288966149d5beb9d7e294dd07aa5c7acc8ad

Observation f0925a76-9055-49d1-981b-0899a721e394 · inbound

Select-then-Solve: Paradigm Routing as Inference-Time Optimization for LLM Agents cites this paper.

Select-then-Solve: Paradigm Routing as Inference-Time Optimization for LLM Agents Toward Efficient Agents: Memory, Tool learning, and Planning

Reference 10

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arxiv_id, observed 2026-07-07T02:16:02.482997Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T18:32:37.703624Z digest=sha256:e1e260b9059c8d2a70805989be254a1d2183f27971c78fd9013ffe6208458636

Observation 6f686753-c648-4ad3-81c0-570b8ecfdf27 · inbound

LLM Agents Already Know When to Call Tools -- Even Without Reasoning cites this paper.

LLM Agents Already Know When to Call Tools -- Even Without Reasoning Toward Efficient Agents: Memory, Tool learning, and Planning

Reference 6

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arxiv_id, observed 2026-07-07T02:16:02.482997Z

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source=arxiv_source observed=2026-05-12T02:44:00.329276Z digest=sha256:31058225103db1db4aa44df1b318eaa116c33a023286687d7c4228d05968de75

Observation f7ad9586-ef4a-43b1-b154-351340a50d63 · inbound

LLM Agents Already Know When to Call Tools -- Even Without Reasoning cites this paper.

LLM Agents Already Know When to Call Tools -- Even Without Reasoning Toward Efficient Agents: Memory, Tool learning, and Planning

Reference 6

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arxiv_id, observed 2026-07-07T02:16:02.482997Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-22T10:55:14.037226Z digest=sha256:3a3d1d45389292436cbe62784049e30638642a9c4ab98e2de886dfc37a84f53b

Observation c379514d-2d35-47b9-9ce5-886204df19fe · inbound

HAGE: Harnessing Agentic Memory via RL-Driven Weighted Graph Evolution cites this paper.

HAGE: Harnessing Agentic Memory via RL-Driven Weighted Graph Evolution Toward Efficient Agents: Memory, Tool learning, and Planning

Reference 84

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-12T04:14:06.843343Z digest=sha256:8390f2b375550e30c302531754bc3a7e78d370700331045bf11577bc91fd16c7

Observation 9ba0f843-d2d4-4113-9015-cd899e215546 · inbound

Are Rationales Necessary and Sufficient? Tuning LLMs for Explainable Misinformation Detection cites this paper.

Are Rationales Necessary and Sufficient? Tuning LLMs for Explainable Misinformation Detection Toward Efficient Agents: Memory, Tool learning, and Planning

Reference 46

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arxiv_id, observed 2026-07-07T02:16:02.482997Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-20T06:07:48.063598Z digest=sha256:81d467d8e9d0249193df906fd4c758ac4c4b3455bda70fd388f8e4047f5f811e

Observation 83f2f2a6-9cd4-42bf-b4e2-e45fe5981681 · inbound

READER: Robust Evidence-based Authorship Decoding via Extracted Representations cites this paper.

READER: Robust Evidence-based Authorship Decoding via Extracted Representations Toward Efficient Agents: Memory, Tool learning, and Planning

Reference 30

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arxiv_id, observed 2026-07-07T02:16:02.482997Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-27T13:19:48.681128Z digest=sha256:85deb8880679b2ef4c59275486679491b1e33aa4cd86871a4b99c41c60e8707e

Observation f20b51c9-7655-45f0-a29a-f72e6288d69b · inbound

Tool-Adaptive LLM Reranker cites this paper.

Tool-Adaptive LLM Reranker Toward Efficient Agents: Memory, Tool learning, and Planning

Reference 5

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source=arxiv_source observed=2026-07-14T10:52:11.987091Z digest=sha256:b06bcd378ca9511480d54bad1f2a31dc89e0f4a81fb5919336220652449cda89

Observation 390e5ba4-51ab-46ce-9376-0ea319be3877 · inbound

OpenClaw and Ollama in Agentic AI: Toward Fully Autonomous and Scalable AI Agent Systems cites this paper.

OpenClaw and Ollama in Agentic AI: Toward Fully Autonomous and Scalable AI Agent Systems Toward Efficient Agents: Memory, Tool learning, and Planning

Reference 83

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source=pdf_text observed=2026-08-03T00:55:52.722886Z digest=sha256:4788d40e223e4e27ea24fccbebed915b3c8d706cca272769af1d2f09bf52a6f8

Observation f1a1c7cd-b163-44a0-ba1b-963768bd9657 · inbound

Same Task, Different Work: Prompt-Induced Waste in Coding Agents cites this paper.

Same Task, Different Work: Prompt-Induced Waste in Coding Agents Toward Efficient Agents: Memory, Tool learning, and Planning

Reference 11

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source=pdf_text observed=2026-08-06T04:16:45.321886Z digest=sha256:8be27a88da3764a1067359a7f0ecc4f8475d944a94fbf1e4588ec5797d73369e

Observation 9dd9e399-6135-4346-b1ec-2a158b29bae9 · inbound

Same Task, Different Work: Prompt-Induced Waste in Coding Agents cites this paper.

Same Task, Different Work: Prompt-Induced Waste in Coding Agents Toward Efficient Agents: Memory, Tool learning, and Planning

Reference 11

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source=pdf_text observed=2026-08-07T01:02:23.262881Z digest=sha256:1d9eb94e33758ccf2e33615e507bf2f44ff90a9c6dc1e5eec24383d7f0516fa8