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Paper Citation Record · LEDGER

G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems

As of 12 August 2026, this Paper Citation Record lists 85 of 85 outbound references and 49 inbound Pith citation observations for arXiv:2506.07398.

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

pith.paper-citation-record.v1
2506.07398 v2

Coverage vector

measured 85 of 85 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:39:59.086756Z

measured 134 of 134 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 49 of 49 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:46:04.542848Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-10T01:36:44.001440Z

Reference resolution

85 of 85 outbound references displayed

  • verified exact1
  • verified fuzzy16
  • unresolved67
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a5a8ce5c-0754-44b2-91a6-8f55355ce3fc · outbound

This paper cites Organizational memory.Academy of management review, 16(1):57–91, 1991.

G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems Organizational memory.Academy of management review, 16(1):57–91, 1991

Reference 1

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no resolver link, observed 2026-08-07T05:39:58.624684Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:39:58.624684Z digest=sha256:5b006d2244b581e2b21e82a99d478c6ed8bd382ce4cc334f7ffb30b5d88d660c

Observation 6ea2ec61-e9dd-4d48-af87-3d303b2875ae · outbound

This paper cites Palm-e: An embodied multimodal language model.

G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems Palm-e: An embodied multimodal language model

Reference 2

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:39:58.629529Z digest=sha256:c24619a72fb3d2b32a662c4789e31ba588243cecfed7265f8e6bf3c341f3ad01

Observation 4456f330-06f8-4cd2-bad0-638a7c9451a3 · outbound

This paper cites OmniDrive: A Holistic Vision-Language Dataset for Autonomous Driving with Counterfactual Reasoning.

G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems OmniDrive: A Holistic Vision-Language Dataset for Autonomous Driving with Counterfactual Reasoning

Reference 3

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no resolver link, observed 2026-08-07T05:39:58.633777Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:39:58.633777Z digest=sha256:dc43c27e6ca94ec5d16550f348dc04e3f1e9b6743d95241ebd7390cd080eeb00

Observation d2290217-2ddc-409c-ba2e-759d2c259cc6 · outbound

This paper cites Steve-Eye: Equipping LLM-based Embodied Agents with Visual Perception in Open Worlds.

G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems Steve-Eye: Equipping LLM-based Embodied Agents with Visual Perception in Open Worlds

Reference 4

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no resolver link, observed 2026-08-07T05:39:58.638427Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:39:58.638427Z digest=sha256:3047c4f2eb744b403f879c833d6f77842cdadbd959de86713727bb872203aec8

Observation 9d2142a8-fd0c-4c25-8363-67fc1557abd8 · outbound

This paper cites Editable scene simulation for autonomous driving via collaborative llm-agents.

G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems Editable scene simulation for autonomous driving via collaborative llm-agents

Reference 5

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:39:58.642746Z digest=sha256:4bb2dddc9b768aeec758a54d63b3c6b830c658d436f98c21913c4118d93089b5

Observation 35993124-e820-4d9f-a236-609f73103add · outbound

This paper cites KnowAgent: Knowledge-Augmented Planning for LLM-Based Agents.

G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems KnowAgent: Knowledge-Augmented Planning for LLM-Based Agents

Reference 6

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no resolver link, observed 2026-08-07T05:39:58.646760Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:39:58.646760Z digest=sha256:596dd8eff62c87701ee30acbc91f008623a36ee769232b6a7310618f4e75d475

Observation 7f106a2c-85fb-47dd-a801-90283bf7c8ef · outbound

This paper cites Plan-and-Act: Improving Planning of Agents for Long-Horizon Tasks.

G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems Plan-and-Act: Improving Planning of Agents for Long-Horizon Tasks

Reference 7

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:39:58.651688Z digest=sha256:0937396b4e397fa1d25fbe149b6277eaadd8bfc7fd844cc4d393a0172200a96f

Observation 486368ec-875d-4ae7-b9a0-e36c74dc555f · outbound

This paper cites Understanding the planning of LLM agents: A survey.

G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems Understanding the planning of LLM agents: A survey

Reference 8

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:39:58.655986Z digest=sha256:2af8a6ec7bf73c52649474fe5693f9e649b101e0c242e17021a8e60d35efe2a4

Observation 9cef29a0-f38c-4ba6-afb3-805d3e012fed · outbound

This paper cites Agent Q: Advanced Reasoning and Learning for Autonomous AI Agents.

G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems Agent Q: Advanced Reasoning and Learning for Autonomous AI Agents

Reference 9

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:39:58.659944Z digest=sha256:bc8304c8bb0d6172eef92a583cf15f8c695141aa4187e9d776a99feb4fb51b0c

Observation ddee92e7-7722-4076-b0f2-9a912ea3e3e0 · outbound

This paper cites The Landscape of Emerging AI Agent Architectures for Reasoning, Planning, and Tool Calling: A Survey.

G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems The Landscape of Emerging AI Agent Architectures for Reasoning, Planning, and Tool Calling: A Survey

Reference 10

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no resolver link, observed 2026-08-07T05:39:58.664216Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:39:58.664216Z digest=sha256:aed326f70639facf1a4b2f8ba83a6af5b7c6e9f16b9b613bf7aa09cd5c3e8787

Observation 6c7010fb-d691-4ef7-b1b2-9c1344ebeb50 · outbound

This paper cites Embodied agent interface: Benchmarking llms for embodied decision making.

G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems Embodied agent interface: Benchmarking llms for embodied decision making

Reference 11

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:39:58.668378Z digest=sha256:1752ded7843332f37b7eee41aef57ecda7860abc328187f9dbf363571907b03a

Observation 369278b6-bead-427f-8fdf-a2f41f403530 · outbound

This paper cites Embodied multi-modal agent trained by an llm from a parallel textworld.

G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems Embodied multi-modal agent trained by an llm from a parallel textworld

Reference 12

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no resolver link, observed 2026-08-07T05:39:58.672248Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:39:58.672248Z digest=sha256:9eb5451e7bcebb0e2c89cd06616239119369d01fde3d453e15ab2e4b3e09260e

Observation 964bcbef-f70e-4a43-b5e9-258ba0120cd6 · outbound

This paper cites Autogen: Enabling next-gen llm applications via multi-agent conversation framework, August 01, 2023 2023.

G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems Autogen: Enabling next-gen llm applications via multi-agent conversation framework, August 01, 2023 2023

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:40:00.321864Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-07T05:39:58.675942Z digest=sha256:fc06afe5653b42f073d1ef2a4691ad908695b10f75612288fd05ae6c9487bcfe

Observation 1a06052c-753a-4e45-85a7-aa12e4280136 · outbound

This paper cites an unresolved cited work.

G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems Unresolved cited work

Reference 14

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no resolver link, observed 2026-08-07T05:39:58.679668Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:39:58.679668Z digest=sha256:20fac016587dbaf8a9723e862a3943d2889d8efc18fc481dcf64ae31db2045fa

Observation 9d65992f-d360-4921-9984-3a0a8d96ac69 · outbound

This paper cites Data Interpreter: An LLM Agent For Data Science.

G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems Data Interpreter: An LLM Agent For Data Science

Reference 15

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:39:58.683444Z digest=sha256:a4dc08a69f6cb90ce2cbf6fad685e207e732c5b99af6930535d046323ec6fb76

Observation 9a0f990c-b997-4921-b74d-0eb3574820f3 · outbound

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

G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems Voyager: An Open-Ended Embodied Agent with Large Language Models

Reference 16

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:39:58.687521Z digest=sha256:0cfc76a93394c62cc0b1793206ac599fb5151170ddd0a45eb4f441f0fdd856a3

Observation f127abf7-5447-4882-9630-93c04c169250 · outbound

This paper cites Driving with llms: Fusing object-level vector modality for explainable autonomous driving.

G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems Driving with llms: Fusing object-level vector modality for explainable autonomous driving

Reference 17

Resolution
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no resolver link, observed 2026-08-07T05:39:58.691769Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:39:58.691769Z digest=sha256:1039cf08097ef5ec9cb28384df5ec5aea76a6b1042a674a6ce45d6727cd30f10

Observation bcdfbc9e-293c-4ebd-9a79-19af1590edce · outbound

This paper cites Optimizing autonomous driving for safety: A human-centric approach with llm-enhanced rlhf.

G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems Optimizing autonomous driving for safety: A human-centric approach with llm-enhanced rlhf

Reference 18

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verified fuzzy
raw_fallback, observed 2026-08-07T05:40:00.277371Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-07T05:39:58.696202Z digest=sha256:7c0353fb4b95afe05f7b8a3d0a3734faf170291c706fb08826001014872a94d1

Observation a8be53a4-0348-4e53-ab6a-66ce43c7a81a · outbound

This paper cites O’Brien, Carrie J.

G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems O’Brien, Carrie J

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:40:00.259158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-07T05:39:58.700231Z digest=sha256:93056b28ca3596b826f5deb2398cbfbfdece8f48050d0041b3b0115e17da8a67

Observation e7a09020-52a2-4831-88ac-7b5b7edf91ba · outbound

This paper cites Improving Factuality and Reasoning in Language Models through Multiagent Debate.

G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems Improving Factuality and Reasoning in Language Models through Multiagent Debate

Reference 20

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source=pdf_text observed=2026-08-07T05:39:58.704008Z digest=sha256:3bf8e86ac943b6ce001d0e7ec736e518bed73550a52181eea72e65fa08837f52

Observation ee3a5275-2c60-43b3-b6fd-a5c209745b15 · outbound

This paper cites Metagpt: Meta programming for multi-agent collaborative framework, August 01, 2023 2023.

G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems Metagpt: Meta programming for multi-agent collaborative framework, August 01, 2023 2023

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:40:00.241264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-07T05:39:58.708051Z digest=sha256:5b171aad7f304cf670390b2e05732953521710a907000c2f93af215feae34f9f

Observation a7affd8c-fd04-4bd2-b9dd-cd4f1cc2ee9a · outbound

This paper cites Society of mind.

G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems Society of mind

Reference 22

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source=pdf_text observed=2026-08-07T05:39:58.711778Z digest=sha256:989fde4610405552387712d6f8251479364dc809b526dddc6719dd043e16dc5a

Observation 4ff57539-85b0-4e81-9437-a090cebafb28 · outbound

This paper cites Examining the society of mind.

G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems Examining the society of mind

Reference 23

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verified fuzzy
raw_fallback, observed 2026-08-07T05:40:00.213894Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-07T05:39:58.715595Z digest=sha256:32fa26c9fe7ef602ea6c79ac03c9be4f1ef63819048902ae93cac6a49cd34997

Observation 8bbb65e9-768a-40c0-9364-69c49929c89f · outbound

This paper cites CAMEL: communicative agents for "mind" exploration of large language model society.

G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems CAMEL: communicative agents for "mind" exploration of large language model society

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:40:00.197368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-07T05:39:58.719334Z digest=sha256:d7af11b0ba7c8ce0c03f67a3ee2797836b637ebbfcaf17b608346b19d3198ba6

Observation b0804531-7419-4dc0-b3e5-edb03d87d961 · outbound

This paper cites Unleashing cognitive synergy in large language models: A task-solving agent through multi-persona self- collaboration, July 01, 2023 2023.

G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems Unleashing cognitive synergy in large language models: A task-solving agent through multi-persona self- collaboration, July 01, 2023 2023

Reference 25

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raw_fallback, observed 2026-08-07T05:40:00.181587Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-07T05:39:58.723008Z digest=sha256:ed968a0e6e12e86468ac289abf86453b62279c82eb085b7d6cb077b2730d2500

Observation b8744e8a-1a6b-4ca1-8da8-476172bcac42 · outbound

This paper cites Large Language Model based Multi-Agents: A Survey of Progress and Challenges.

G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems Large Language Model based Multi-Agents: A Survey of Progress and Challenges

Reference 26

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source=pdf_text observed=2026-08-07T05:39:58.838435Z digest=sha256:aca37ce2759b505fe42ff366f29c60e75bcf46cf3b81fba6482ac474c7e6dbca

Observation 69f656d5-c4ca-47f4-87c0-30a21ea1ff6a · outbound

This paper cites Reasoning Capacity in Multi-Agent Systems: Limitations, Challenges and Human-Centered Solutions.

G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems Reasoning Capacity in Multi-Agent Systems: Limitations, Challenges and Human-Centered Solutions

Reference 27

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:39:58.842852Z digest=sha256:f96d42144f2b0e250c7f33f305c3e88340a895580e69c303e0b85e519e14cd9e

Observation e79b6036-b473-4ae5-a218-097f2f240b2c · outbound

This paper cites Cooperate or Collapse: Emergence of Sustainable Cooperation in a Society of LLM Agents.

G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems Cooperate or Collapse: Emergence of Sustainable Cooperation in a Society of LLM Agents

Reference 28

Resolution
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source=pdf_text observed=2026-08-07T05:39:58.847309Z digest=sha256:73456b1d0dd73cbd86a6962cebbdc72c6260705266b5f6b71f54323b905f099b

Observation 216d2b62-d25b-4007-acee-e31db6c002d3 · outbound

This paper cites Discovering Causality for Efficient Cooperation in Multi-Agent Environments.

G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems Discovering Causality for Efficient Cooperation in Multi-Agent Environments

Reference 29

Resolution
verified exact
local_arxiv, observed 2026-08-07T05:39:59.744754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-07T05:39:58.851468Z digest=sha256:3e03563206b1a702f65669a8a67e06353078af19470b6007a2a0dd73302e41a1

Observation fe1f6fb4-3288-4178-adc1-3d3081f0ef4e · outbound

This paper cites Cut the Crap: An Economical Communication Pipeline for LLM-based Multi-Agent Systems.

G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems Cut the Crap: An Economical Communication Pipeline for LLM-based Multi-Agent Systems

Reference 30

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source=pdf_text observed=2026-08-07T05:39:58.855721Z digest=sha256:1405fc2f42bc57f878ad52ad3b17ea3820da24650f9eca022398df4a2316222e

Observation 9b39dd11-e351-4362-8612-8e1e3f196224 · outbound

This paper cites MasRouter: Learning to Route LLMs for Multi-Agent Systems.

G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems MasRouter: Learning to Route LLMs for Multi-Agent Systems

Reference 31

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T05:39:58.860263Z digest=sha256:3fcb115f44da72e757878241a5ddbe7ec7beee7efcbeca03195f4ec87a37d164

Observation 346c9688-748b-4125-8cab-34d789917376 · outbound

This paper cites CompeteAI: Understanding the Competition Dynamics in Large Language Model-based Agents.

G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems CompeteAI: Understanding the Competition Dynamics in Large Language Model-based Agents

Reference 32

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:39:58.864350Z digest=sha256:e2497d4dee51f5baf7f755dafbabf7a4d6f91b93dc2bd83c517cf02742909c7b

Observation a810abc9-86e2-4cb6-901c-126e1e80420e · outbound

This paper cites Encouraging Divergent Thinking in Large Language Models through Multi-Agent Debate.

G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems Encouraging Divergent Thinking in Large Language Models through Multi-Agent Debate

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-07T05:39:58.869133Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:39:58.869133Z digest=sha256:0477f0ee824d6bbc7e4d221a9621c675d5e002b5d49fcf9b3fb65abed8251cec

Observation bdc7057b-65d2-454b-a014-bacf7035e2d2 · outbound

This paper cites BattleAgentBench: A Benchmark for Evaluating Cooperation and Competition Capabilities of Language Models in Multi-Agent Systems.

G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems BattleAgentBench: A Benchmark for Evaluating Cooperation and Competition Capabilities of Language Models in Multi-Agent Systems

Reference 34

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no resolver link, observed 2026-08-07T05:39:58.873471Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:39:58.873471Z digest=sha256:566890adcb8d7436bb54e1b67487d94596d674eb1e9a30df5d4a84d6d7b3fa68

Observation 31acfa6d-f008-43a9-9eb9-d4697a2c820d · outbound

This paper cites Progressive-hint prompt- ing improves reasoning in large language models, April 01, 2023 2023.

G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems Progressive-hint prompt- ing improves reasoning in large language models, April 01, 2023 2023

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:40:00.164192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-07T05:39:58.877504Z digest=sha256:b702a7f189b8125e57b616d4db4c610b091cf1618dcc10e517d4bcf63513515d

Observation 4896a375-6e49-4e15-95db-6f269718faeb · outbound

This paper cites Memorybank: Enhancing large language models with long-term memory.

G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems Memorybank: Enhancing large language models with long-term memory

Reference 36

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source=pdf_text observed=2026-08-07T05:39:58.881879Z digest=sha256:5d32bf4732c3337abb574b8ae55958234a231bdc3d08e3e8ebea393fc640e742

Observation 802f876f-ee31-4293-ba59-8fcf218746c1 · outbound

This paper cites Memgpt: Towards llms as operating systems.

G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems Memgpt: Towards llms as operating systems

Reference 37

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source=pdf_text observed=2026-08-07T05:39:58.885971Z digest=sha256:eb34e6fa3f83d0b32cc01b3c3cf9df2b557648aa0e84cd8aeac9c0711db42429

Observation 83b09df3-cfe5-4698-b4f2-fa9f1bdf5dbf · outbound

This paper cites MemLLM: Finetuning LLMs to Use An Explicit Read-Write Memory.

G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems MemLLM: Finetuning LLMs to Use An Explicit Read-Write Memory

Reference 38

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source=pdf_text observed=2026-08-07T05:39:58.889952Z digest=sha256:c621f5ef13e06bd9957b746e39e097a66551928d1ab2f17ff345c88e76651098

Observation 78d3297d-f275-432e-b317-16589c3e7df1 · outbound

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

G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems A Survey on the Memory Mechanism of Large Language Model based Agents

Reference 39

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source=pdf_text observed=2026-08-07T05:39:58.894070Z digest=sha256:a36196ea100950aa430bdd858e7adb741587dd727745716eb34f2b24f2da99d9

Observation 020c7647-1320-46ea-b598-f01e98e7a6e6 · outbound

This paper cites ChatDB: Augmenting LLMs with Databases as Their Symbolic Memory.

G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems ChatDB: Augmenting LLMs with Databases as Their Symbolic Memory

Reference 40

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source=pdf_text observed=2026-08-07T05:39:58.898211Z digest=sha256:d2d093a7a76f8392d6d41507fd2908315d71a48d4d3383d62417a737481581fe

Observation f9c68a6f-7096-4c22-8fe2-8303209f2437 · outbound

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

G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems MemoChat: Tuning LLMs to Use Memos for Consistent Long-Range Open-Domain Conversation

Reference 41

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source=pdf_text observed=2026-08-07T05:39:58.902590Z digest=sha256:e1f5daf6d4b3895bed654ba48e30ab6829bf6ee52ccf73186cc935a3e7a39b8e

Observation 38766c32-238a-48da-8e7d-7b97b6ffdaa3 · outbound

This paper cites RecMind: Large Language Model Powered Agent For Recommendation.

G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems RecMind: Large Language Model Powered Agent For Recommendation

Reference 42

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source=pdf_text observed=2026-08-07T05:39:58.907047Z digest=sha256:1c914694110ab34e955e04192cb3da4d9d2ae0aa273c37f474610b3ea9d56048

Observation eb887c79-0b5d-47cb-9f7b-9b41e9406e86 · outbound

This paper cites Expel: Llm agents are experiential learners.

G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems Expel: Llm agents are experiential learners

Reference 43

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source=pdf_text observed=2026-08-07T05:39:58.911023Z digest=sha256:5edb68f80851892bef5b222bae04b2d48cbe2345c8b1cc071a18fee23014ae3c

Observation 24aa4eb8-b726-4ec0-836a-6df3ef853006 · outbound

This paper cites MetaAgents: Large Language Model Based Agents for Decision-Making on Teaming.

G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems MetaAgents: Large Language Model Based Agents for Decision-Making on Teaming

Reference 44

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source=pdf_text observed=2026-08-07T05:39:58.914902Z digest=sha256:ba10544ec3f6f53effed27a5e1b9ca5f9da9a29ca38a74f0a597f2da2a5ef6f4

Observation 354b9198-cae6-4461-8fc9-8c1985010b63 · outbound

This paper cites S$^3$: Social-network Simulation System with Large Language Model-Empowered Agents.

G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems S$^3$: Social-network Simulation System with Large Language Model-Empowered Agents

Reference 45

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source=pdf_text observed=2026-08-07T05:39:58.918854Z digest=sha256:0f0159971394799e0e0c36373fd5a2e6d74aed5ff96b539b6ad127bb54e692bb

Observation 499bf38a-f370-4bfb-9c99-15421a351227 · outbound

This paper cites Communicative agents for software development, July 01, 2023 2023.

G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems Communicative agents for software development, July 01, 2023 2023

Reference 46

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-07T05:39:58.922992Z digest=sha256:9c88f1a561e4656834fbd1135da1fbc71d33d4ed73205658d96d36e53c377f25

Observation 38a7c79d-27cb-40b8-ac05-01c48e7ba905 · outbound

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

G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems Scaling Large Language Model-based Multi-Agent Collaboration

Reference 47

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source=pdf_text observed=2026-08-07T05:39:58.926732Z digest=sha256:2cf4ce0d3a352434b807773aadddb50c6b3ca939e63017223ac8f7cc93c72c20

Observation cd712a26-c271-47ea-8ce6-9b2cbb3b8d6a · outbound

This paper cites Gptswarm: Language agents as optimizable graphs.

G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems Gptswarm: Language agents as optimizable graphs

Reference 48

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source=pdf_text observed=2026-08-07T05:39:58.930678Z digest=sha256:dd66cef028380f49f978e758a01c962e6f06673b77aeddc28fe6e4c0aece1793

Observation 69307f66-9736-4bd3-ada2-7a43effa8280 · outbound

This paper cites Automated Design of Agentic Systems.

G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems Automated Design of Agentic Systems

Reference 49

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source=pdf_text observed=2026-08-07T05:39:58.934580Z digest=sha256:b76252f28616aefb0da638644def398f9daef98f1f6d12aa49481e9a0d9ba747

Observation 33e5e13e-cddb-4d43-8d77-396a194f62c9 · outbound

This paper cites AFlow: Automating Agentic Workflow Generation.

G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems AFlow: Automating Agentic Workflow Generation

Reference 50

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source=pdf_text observed=2026-08-07T05:39:58.938714Z digest=sha256:12930720a2aeff4e3e3d9c26aaa8d279c529f6c65b4bbca14a23e1dfa21276f7

Observation f53256c8-c012-4996-85b1-e1fef77d0ca4 · outbound

This paper cites Multi-agent Architecture Search via Agentic Supernet.

G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems Multi-agent Architecture Search via Agentic Supernet

Reference 51

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source=pdf_text observed=2026-08-07T05:39:58.942765Z digest=sha256:ff4107687c1a766becf691c7d1065d6a97b81bb84684b1db43fe29dc1af64594

Observation 07866d75-114f-480c-a8ef-cf12f5dc2704 · outbound

This paper cites Exchange-of-thought: Enhancing large language model capabilities through cross-model communication.

G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems Exchange-of-thought: Enhancing large language model capabilities through cross-model communication

Reference 52

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-07T05:39:58.946855Z digest=sha256:336a9b23431fd85fc5ea874c4e7fe613dc9865badc23d7bb8b140928a009a555

Observation 2ad8b8d5-ddc8-43f1-9d63-339012370dd5 · outbound

This paper cites A survey on large language model based autonomous agents.

G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems A survey on large language model based autonomous agents

Reference 53

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-07T05:39:58.950715Z digest=sha256:106a349f3cf134dcbaa64a9ed21d91d5bf7de0d55b4c34bf1447f359abe402f1

Observation 701c57ba-dbd0-4445-b4fd-632322c91309 · outbound

This paper cites The Rise and Potential of Large Language Model Based Agents: A Survey.

G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems The Rise and Potential of Large Language Model Based Agents: A Survey

Reference 54

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source=pdf_text observed=2026-08-07T05:39:58.954348Z digest=sha256:3fdbd8631e0c4930051ad4ef370244568912b2975b7ba7900d681644e98b5771

Observation 449fc825-b292-4c0f-a931-20cce9c5671b · outbound

This paper cites Large Language Models Empowered Agent-based Modeling and Simulation: A Survey and Perspectives.

G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems Large Language Models Empowered Agent-based Modeling and Simulation: A Survey and Perspectives

Reference 55

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source=pdf_text observed=2026-08-07T05:39:58.958867Z digest=sha256:799d6b8c38a7184ea8bdcd852405132bbc5acecf5f748f5427bf16d55bff9edb

Observation bb4c260e-e9cd-42f6-a3e6-cc64731c4411 · outbound

This paper cites A survey on llm-based multi-agent systems: workflow, infrastructure, and challenges.

G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems A survey on llm-based multi-agent systems: workflow, infrastructure, and challenges

Reference 56

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source=pdf_text observed=2026-08-07T05:39:58.962917Z digest=sha256:d2502b275cab7551744f9067956e1619e382b817e293569d758707eb62600ad0

Observation e12d5e29-5740-4a4b-8a13-aaa2a984428b · outbound

This paper cites Synapse: Trajectory-as-Exemplar Prompting with Memory for Computer Control.

G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems Synapse: Trajectory-as-Exemplar Prompting with Memory for Computer Control

Reference 57

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source=pdf_text observed=2026-08-07T05:39:58.966727Z digest=sha256:6a1a6bbd739805eea1190309a1f0784bdd687787abe1a4a3a523b64090251822

Observation ffd13a41-2ceb-42b3-afcf-b4f32066a60b · outbound

This paper cites Ghost in the Minecraft: Generally Capable Agents for Open-World Environments via Large Language Models with Text-based Knowledge and Memory.

G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems Ghost in the Minecraft: Generally Capable Agents for Open-World Environments via Large Language Models with Text-based Knowledge and Memory

Reference 58

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source=pdf_text observed=2026-08-07T05:39:58.971250Z digest=sha256:5a1e156d279a4b630664b9d0bca0b8cb85e6a2bbce923cf8036b52fd7afd3982

Observation 87ef3da6-d157-4ae7-9f5f-f8b5f3384120 · outbound

This paper cites ChemAgent: Self-updating Library in Large Language Models Improves Chemical Reasoning.

G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems ChemAgent: Self-updating Library in Large Language Models Improves Chemical Reasoning

Reference 59

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source=pdf_text observed=2026-08-07T05:39:58.975053Z digest=sha256:88ab4ce9396fbc0973aabf7880b0dc4ff69d8937284e4b4639031221c7177a51

Observation 1af7bebc-c1a9-44df-85fd-00556ff3edc1 · outbound

This paper cites Reflexion: Language Agents with Verbal Reinforcement Learning.

G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems Reflexion: Language Agents with Verbal Reinforcement Learning

Reference 60

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source=pdf_text observed=2026-08-07T05:39:58.978858Z digest=sha256:787f9c747c6af99eac39019958e6e79946c72d6e8bdbe319090a47782e433e0b

Observation f194888c-dd36-4ed1-9cb1-c77c93ea1dd9 · outbound

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

G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems A-MEM: Agentic Memory for LLM Agents

Reference 61

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source=pdf_text observed=2026-08-07T05:39:58.982830Z digest=sha256:50f7b0d581c0fa51293f3d9f7a9bb87134995138abf1c61912f71e941f021737

Observation 19678f01-d2d4-4364-b948-2b30fafbef13 · outbound

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

G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems Mem0: Building Production-Ready AI Agents with Scalable Long-Term Memory

Reference 62

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source=pdf_text observed=2026-08-07T05:39:58.986761Z digest=sha256:611dce55eea8e594c721d92cf7e17bee9f0eca3c76c3b6c4374011425bf05cef

Observation 78b808f0-5a50-48d3-8479-1e7952eb877c · outbound

This paper cites MemInsight: Autonomous Memory Augmentation for LLM Agents.

G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems MemInsight: Autonomous Memory Augmentation for LLM Agents

Reference 63

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source=pdf_text observed=2026-08-07T05:39:58.991000Z digest=sha256:8b0cbce49a0beb9bc53cc59c6803df04f18ea40ee00752a9d069371143e34fdf

Observation ef3ee557-af53-4cbd-a91b-6868f4ddb9bb · outbound

This paper cites Mixture-of-Agents Enhances Large Language Model Capabilities.

G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems Mixture-of-Agents Enhances Large Language Model Capabilities

Reference 64

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source=pdf_text observed=2026-08-07T05:39:58.995255Z digest=sha256:b43ee2e1bd3ab61af6e205c5868632aa9f71fbb01f12c46f3e5a7990c63f36d4

Observation 316ddb9f-b80b-4011-a4f6-ebbfb3832251 · outbound

This paper cites Symbolic Learning Enables Self-Evolving Agents.

G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems Symbolic Learning Enables Self-Evolving Agents

Reference 65

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source=pdf_text observed=2026-08-07T05:39:58.999437Z digest=sha256:208b5fc9abc9324f533cf1822269ed4121e8999ffdcb8502ec66dfb1e67a8f12

Observation ed53a6fc-dc2a-47cd-afc8-c4644f691906 · outbound

This paper cites Self-evolving Agents with reflective and memory-augmented abilities.

G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems Self-evolving Agents with reflective and memory-augmented abilities

Reference 66

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source=pdf_text observed=2026-08-07T05:39:59.004317Z digest=sha256:82b6d5cab5a26a564d2c7050cca90d7e44977ff12bf988eacf78dfdfb9088a69

Observation f150ff5b-e19d-47a2-b5b4-47643157c1fc · outbound

This paper cites Agentverse: Facilitating multi-agent collaboration and exploring emergent behaviors in agents, 2023.

G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems Agentverse: Facilitating multi-agent collaboration and exploring emergent behaviors in agents, 2023

Reference 67

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source=pdf_text observed=2026-08-07T05:39:59.008491Z digest=sha256:ff7cf0fe638cb9f14b7c35a4c760491aafe95fb59b597af6210c445144297cb8

Observation f1cb9542-c96e-4e8c-a3fb-252770785326 · outbound

This paper cites Self-Evolving Multi-Agent Collaboration Networks for Software Development.

G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems Self-Evolving Multi-Agent Collaboration Networks for Software Development

Reference 68

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source=pdf_text observed=2026-08-07T05:39:59.012611Z digest=sha256:be6a45ea35018dc8c1a2dc632354dd08ee57e9ac60baa078c45e2883d9759730

Observation 9679fa33-cd61-4063-8840-e6eeaf2d3121 · outbound

This paper cites G-Designer: Architecting Multi-agent Communication Topologies via Graph Neural Networks.

G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems G-Designer: Architecting Multi-agent Communication Topologies via Graph Neural Networks

Reference 69

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source=pdf_text observed=2026-08-07T05:39:59.016741Z digest=sha256:af9593ddb54c59ab42c0373fae30ba4564cec171ca1fe9661642e69a8e64d0e2

Observation 927d7ec9-199d-4f77-b98b-52c487d39ec9 · outbound

This paper cites EvoAgent: Towards Automatic Multi-Agent Generation via Evolutionary Algorithms.

G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems EvoAgent: Towards Automatic Multi-Agent Generation via Evolutionary Algorithms

Reference 70

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source=pdf_text observed=2026-08-07T05:39:59.021122Z digest=sha256:45e131da80ada68e917f367ce0aca8dc879bbb1cdf9a1c59a162411ab9ddb74c

Observation 2fef8d02-9e12-49ba-82bd-30524733a1e7 · outbound

This paper cites EvoFlow: Evolving Diverse Agentic Workflows On The Fly.

G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems EvoFlow: Evolving Diverse Agentic Workflows On The Fly

Reference 71

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source=pdf_text observed=2026-08-07T05:39:59.025362Z digest=sha256:14efbab96ddb915be8a99b592388b1d681caa511b8cc2f989ed42576029493cb

Observation 08852b3d-e66b-4715-978b-70e250b80806 · outbound

This paper cites A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration.

G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration

Reference 72

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source=pdf_text observed=2026-08-07T05:39:59.029815Z digest=sha256:a56540e0a5d7f28f3a94c94081c813675980b1588dc2a677c99b9c8b875d5d83

Observation 3720074a-46b4-4076-bb56-e4ec069c8855 · outbound

This paper cites Microsoft academic graph: When experts are not enough.

G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems Microsoft academic graph: When experts are not enough

Reference 73

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verified fuzzy
raw_fallback, observed 2026-08-07T05:40:00.034324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-07T05:39:59.033945Z digest=sha256:fa4f2d61afe7f9a5151bce348fa01e9aca1179ed3f7e710ac5b25b87211a6587

Observation 9b50dc30-9ec5-45f7-9c97-b5dfe9d12f7f · outbound

This paper cites SiriuS: Self-improving Multi-agent Systems via Bootstrapped Reasoning.

G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems SiriuS: Self-improving Multi-agent Systems via Bootstrapped Reasoning

Reference 74

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:39:59.038110Z digest=sha256:4ec4e5af2c1ab1ccdca6e72bbb55a9677db3aa4db6bafcd10a0258973de4f8c3

Observation ac7fa204-6c4d-44fd-9845-4ee1836164c9 · outbound

This paper cites ReSo: A Reward-driven Self-organizing LLM-based Multi-Agent System for Reasoning Tasks.

G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems ReSo: A Reward-driven Self-organizing LLM-based Multi-Agent System for Reasoning Tasks

Reference 75

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no resolver link, observed 2026-08-07T05:39:59.042322Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:39:59.042322Z digest=sha256:41722b88ec85397ef0bf8c691145ae7d511b7e3809a9fe316ebe864984401a61

Observation ddafdd91-2de7-4964-835c-84cb7f3e7164 · outbound

This paper cites HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering.

G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering

Reference 76

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unresolved
no resolver link, observed 2026-08-07T05:39:59.046616Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:39:59.046616Z digest=sha256:a8341d668fd77bbfa5004a39a1ca4738f89710b943a3610a8df45120f502d567

Observation 2f3b2b71-f6ee-47b2-98fd-0a7d69ffeb9a · outbound

This paper cites FEVER: a large-scale dataset for Fact Extraction and VERification.

G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems FEVER: a large-scale dataset for Fact Extraction and VERification

Reference 77

Resolution
unresolved
no resolver link, observed 2026-08-07T05:39:59.051028Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:39:59.051028Z digest=sha256:0da4a98a70c40aa0c770cc9b012c3688f820a30cf9ea644be3831629d03d1df1

Observation 07036198-6cbc-4ce3-9c88-f30afde58704 · outbound

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

G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems ALFWorld: Aligning Text and Embodied Environments for Interactive Learning

Reference 78

Resolution
unresolved
no resolver link, observed 2026-08-07T05:39:59.055236Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:39:59.055236Z digest=sha256:ba7b27efe865ef95b8f94a83d0dda042c8c967b0f91818c3a787d11df77e83be

Observation 1535d93b-6154-4f0b-ac4e-53945d6c978d · outbound

This paper cites ScienceWorld: Is your Agent Smarter than a 5th Grader?.

G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems ScienceWorld: Is your Agent Smarter than a 5th Grader?

Reference 79

Resolution
unresolved
no resolver link, observed 2026-08-07T05:39:59.059614Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:39:59.059614Z digest=sha256:59ae5e51045517306f9efeeb31006ca993f6e237b48dc7e3f2aa2a179ed3add3

Observation 581b98ec-4edd-4610-96ee-2b871f2fa734 · outbound

This paper cites AgentBoard: An Analytical Evaluation Board of Multi-turn LLM Agents.

G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems AgentBoard: An Analytical Evaluation Board of Multi-turn LLM Agents

Reference 80

Resolution
unresolved
no resolver link, observed 2026-08-07T05:39:59.063879Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:39:59.063879Z digest=sha256:1fee814fa3498c20ab6da8527427ceb0bcf2c6d6461061c468989eff12718b6c

Observation d70ae7ca-be63-4ab9-a9ac-976c142380d0 · outbound

This paper cites You are a smart agent designed to solve problems.

G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems You are a smart agent designed to solve problems

Reference 81

Resolution
malformed identifier
raw_fallback, observed 2026-08-07T05:40:00.015491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-07T05:39:59.068177Z digest=sha256:b4ead6eea639ace6d87e47f89b00d2471736c977a9ccb2589949e621d1a954d6

Observation 14a20d63-e1da-42aa-a12a-51c80c185a21 · outbound

This paper cites "" l e a r n _ l e s s o n s _ u s e r _ p r o m p t _ c o m p a r e =.

G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems "" l e a r n _ l e s s o n s _ u s e r _ p r o m p t _ c o m p a r e =

Reference 82

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:39:59.999228Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-07T05:39:59.073801Z digest=sha256:00bab205cdf4c7bca5a39c8d56099f45f669135659c9f6b03b97eaf7e5a388f4

Observation 65477d67-08d5-4f34-bd40-e11470a30112 · outbound

This paper cites "" l e a r n _ l e s s o n s _ u s e r _ p r o m p t _ a l l _ s u c c =.

G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems "" l e a r n _ l e s s o n s _ u s e r _ p r o m p t _ a l l _ s u c c =

Reference 83

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:39:59.984948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-07T05:39:59.078525Z digest=sha256:22262a03e2fcafa8e122c0a13416a843b0200ea9cf1fa30deaa9af88d35ddaaa

Observation bf4d44fe-00f0-471a-bd6e-121c44857839 · outbound

This paper cites "" m e r g e _ r u l e s _ u s e r _ p r o m p t =.

G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems "" m e r g e _ r u l e s _ u s e r _ p r o m p t =

Reference 84

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:39:59.971019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-07T05:39:59.082522Z digest=sha256:970285d0a868b11dcaf17e9ed2302d1a44072c95f25e1735f25bf01ad5b30303

Observation cfb27b63-5db3-4053-87ce-146afe23b199 · outbound

This paper cites "" p r o j e c t _ i n s i g h t s _ u s e r _ p r o m p t : str =.

G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems "" p r o j e c t _ i n s i g h t s _ u s e r _ p r o m p t : str =

Reference 85

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:39:59.957860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-07T05:39:59.086756Z digest=sha256:87c142c5855605bbf71bb2fe49c67faa0ed75ba3618425cdba9e98a863fd0efe

Pith citing papers

Observation 2c6f767b-f960-4c70-b571-c02c37ae58a8 · inbound

Multi-level Value Alignment in Agentic AI Systems: Survey and Perspectives cites this paper.

Multi-level Value Alignment in Agentic AI Systems: Survey and Perspectives G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems

Reference 140

Resolution
unresolved
no resolver link, observed 2026-08-07T04:46:04.542848Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:46:04.542848Z digest=sha256:1997e9a3be31fbe3930a3b5c8cb98114ac37f66ed56dd24d7d6b283c40f60ff3

Observation 5f6166d7-045c-424f-8122-d4c5c4f29d97 · inbound

A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence cites this paper.

A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems

Reference 38

Resolution
metadata mismatch
arxiv_id, observed 2026-05-14T22:23:15.565964Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-14T22:23:14.621091Z digest=sha256:70671cee8798d9f05bf0f1c80f54c467604656d458855e5a7215f8625cc0acc3

Observation 08210b23-bde2-4fd7-a104-1f4db765aabb · inbound

What Deserves Memory: Adaptive Memory Distillation for LLM Agents cites this paper.

What Deserves Memory: Adaptive Memory Distillation for LLM Agents G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems

Reference 31

Resolution
verified exact
arxiv_id, observed 2026-05-19T01:11:57.087283Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-19T01:10:47.164918Z digest=sha256:2f6fb5fa7bf2783b0a77da1f4125d7972eb94b392bb9781cb7e1f6a00fc92cf0

Observation 78a4b77c-2a02-4a0b-b2b6-56e9729b33ad · inbound

Meta-Policy Reflexion: Reusable Reflective Memory and Rule Admissibility for Resource-Efficient LLM Agent cites this paper.

Meta-Policy Reflexion: Reusable Reflective Memory and Rule Admissibility for Resource-Efficient LLM Agent G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-05T10:34:03.725609Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T10:34:03.725609Z digest=sha256:f751dbac9c5ba5bc94ff7585bb11c5e33ea3d80eede57591cc89c9a3e449b93a

Observation 18cfa9d1-1d78-48ab-b25b-c81c8964e6dd · inbound

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

EvolveR: Self-Evolving LLM Agents through an Experience-Driven Lifecycle G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems

Reference 27

Resolution
verified exact
arxiv_id, observed 2026-05-18T06:20:58.350036Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-18T06:19:44.360734Z digest=sha256:02cc084014f9c20bd030ba4c6388d9eb6c201127fc4c18a259ffbc76950d57d7

Observation b1fc375c-39ac-4d84-95a8-e86d15c109d5 · inbound

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

EvolveR: Self-Evolving LLM Agents through an Experience-Driven Lifecycle G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems

Reference 27

Resolution
verified exact
arxiv_id, observed 2026-05-21T20:50:36.486889Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-21T20:50:06.642976Z digest=sha256:6eb20a22a7aeee25ce912520fdcd412543bfe664f45641da119aba8f50d3ed61

Observation b9058fbd-7617-4663-9073-a1879979d395 · inbound

RGMem: Renormalization Group-inspired Memory Evolution for Language Agents cites this paper.

RGMem: Renormalization Group-inspired Memory Evolution for Language Agents G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-04T09:16:55.442906Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T09:16:55.442906Z digest=sha256:29d9518c069a4cb1c3baaaec44ce82dc0e72293681985a6f49f30422f728e033

Observation c7f2a94a-accb-454d-b16a-289ba5641e7c · inbound

MemSearcher: Training LLMs to Reason, Search and Manage Memory via End-to-End Reinforcement Learning cites this paper.

MemSearcher: Training LLMs to Reason, Search and Manage Memory via End-to-End Reinforcement Learning G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems

Reference 41

Resolution
verified exact
arxiv_id, observed 2026-05-18T01:00:34.547008Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-18T00:57:25.902674Z digest=sha256:b28daf1dc25421382a70e72b2856d1983f1207d31260df6222ff92bda8a18ab4

Observation e54c92d3-0a27-4707-96e3-446ddcc7e2fa · inbound

Cost and Accuracy of Long-Term Memory in Distributed Multi-Agent Systems Based on Large Language Models cites this paper.

Cost and Accuracy of Long-Term Memory in Distributed Multi-Agent Systems Based on Large Language Models G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems

Reference 63

Resolution
unresolved
no resolver link, observed 2026-08-03T11:01:43.659160Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T11:01:43.659160Z digest=sha256:08869cfb3194499edeb2a6ab21b9552e86cc13d154ee54353bb29d56438c69a2

Observation d3876593-73c6-43f2-921a-67b951575af8 · inbound

Context Learning for Multi-Agent Discussion cites this paper.

Context Learning for Multi-Agent Discussion G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-05-16T08:10:45.477611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-16T08:08:39.182921Z digest=sha256:11cc113713d336b2214dee1becc5882071d8354e138d7288dc706d98377fb7b2

Observation 10aa68d3-000e-42d0-b0f0-93bfe5213ffc · inbound

ActMem: Bridging the Gap Between Memory Retrieval and Reasoning in LLM Agents cites this paper.

ActMem: Bridging the Gap Between Memory Retrieval and Reasoning in LLM Agents G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems

Reference 2026

Resolution
unresolved
no resolver link, observed 2026-08-03T04:48:19.754757Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T04:48:19.754757Z digest=sha256:27f9073f8e7472d464b55a1ddb3879496a263d592f89a04d7e9944eb797f8bb5

Observation 942dff7f-1688-4f76-8e51-5fda87e3b514 · inbound

Task-Adaptive Retrieval over Agentic Multi-Modal Web Histories via Learned Graph Memory cites this paper.

Task-Adaptive Retrieval over Agentic Multi-Modal Web Histories via Learned Graph Memory G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems

Reference 29

Resolution
verified exact
arxiv_id, observed 2026-05-11T06:55:59.570529Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-10T17:23:35.260403Z digest=sha256:74fbc2b2bcd18efca45f85bce8f7d0e46015c052acb214afcc83259c9fc354e3

Observation dd7c2e84-f031-4055-a84e-cba7a22b8d51 · inbound

MemCoT: Test-Time Scaling through Memory-Driven Chain-of-Thought cites this paper.

MemCoT: Test-Time Scaling through Memory-Driven Chain-of-Thought G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems

Reference 50

Resolution
verified exact
arxiv_id, observed 2026-05-11T06:10:59.128923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-10T17:46:59.581486Z digest=sha256:abbb8d88d6fe968032fc80f7da9f38862ec7d0f0af988da97631bddadbf83f9d

Observation cb318a98-d0d4-4c96-bb56-a018371bcf7f · inbound

MemCoT: Test-Time Scaling through Memory-Driven Chain-of-Thought cites this paper.

MemCoT: Test-Time Scaling through Memory-Driven Chain-of-Thought G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems

Reference 50

Resolution
verified exact
arxiv_id, observed 2026-05-21T09:34:57.185988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-21T09:34:16.292323Z digest=sha256:a4d1a3b4e7d33393829d97066f98ae57bf2276d504dfe495c8e2dbc60af4c113

Observation db2817a0-dfd3-48c3-969b-6db585686c1b · inbound

GAM: Hierarchical Graph-based Agentic Memory for LLM Agents cites this paper.

GAM: Hierarchical Graph-based Agentic Memory for LLM Agents G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems

Reference 30

Resolution
verified exact
arxiv_id, observed 2026-05-11T08:56:03.477347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-10T16:22:58.500558Z digest=sha256:492138460e11df918418242adbb6b45ba6adc771eb38341a0bef1f3d86e2053c

Observation 2fedd47c-74ee-45d6-8eec-11bca2dd949f · inbound

Hierarchical Long-Term Semantic Memory for LinkedIn's Hiring Agent cites this paper.

Hierarchical Long-Term Semantic Memory for LinkedIn's Hiring Agent G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems

Reference 29

Resolution
verified exact
arxiv_id, observed 2026-05-12T08:56:24.895423Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-07T13:32:24.889097Z digest=sha256:9a26bc0eb46ce023408f0ccbee51c6187beb8d85dc391a7d1d86cb1b36645800

Observation 63eb09da-a15c-4a8f-bca0-21c1215f4377 · inbound

Hierarchical Long-Term Semantic Memory for LinkedIn's Hiring Agent cites this paper.

Hierarchical Long-Term Semantic Memory for LinkedIn's Hiring Agent G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems

Reference 32

Resolution
verified exact
arxiv_id, observed 2026-07-01T09:25:40.539063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-07-01T09:07:57.475223Z digest=sha256:05b274f01c04904a03c577f654236bae94b9a4a5e9baa02941e2b1cc2e4b989e

Observation 225f77b7-749f-4feb-92a4-c8e058161fdd · inbound

Web2BigTable: A Bi-Level Multi-Agent LLM System for Internet-Scale Information Search and Extraction cites this paper.

Web2BigTable: A Bi-Level Multi-Agent LLM System for Internet-Scale Information Search and Extraction G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-05-12T09:46:25.947080Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-07T09:35:14.203293Z digest=sha256:73d8b7443911efea2313b2a0889ac242a476489271f093f45b3c6da8d412fc03

Observation dfbf4800-f9bb-4eda-b487-d36b26f9561c · inbound

A Comprehensive Survey on Agent Skills: Taxonomy, Techniques, and Applications cites this paper.

A Comprehensive Survey on Agent Skills: Taxonomy, Techniques, and Applications G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems

Reference 75

Resolution
verified exact
arxiv_id, observed 2026-05-11T04:20:57.014561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-11T01:47:39.926540Z digest=sha256:5cceaf237bf8c831daafb51fb6ef3c892d786d249fd25a14bc29d096d75baf46

Observation 8a6ba1e6-12dd-4ca7-ae70-81bdd2472f90 · inbound

A Comprehensive Survey on Agent Skills: Taxonomy, Techniques, and Applications cites this paper.

A Comprehensive Survey on Agent Skills: Taxonomy, Techniques, and Applications G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems

Reference 75

Resolution
verified exact
arxiv_id, observed 2026-05-20T23:19:15.022116Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-20T23:15:44.550045Z digest=sha256:33e39d2eaf8f00bd41a5afcf747a6b0d70d0b7aeda341fbd578868b283dfaca3

Observation b07b3f75-b257-4971-b4c4-a4aa2c974924 · inbound

A Comprehensive Survey on Agent Skills: Taxonomy, Techniques, and Applications cites this paper.

A Comprehensive Survey on Agent Skills: Taxonomy, Techniques, and Applications G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems

Reference 73

Resolution
verified exact
arxiv_id, observed 2026-06-30T23:25:07.417482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-30T23:23:42.883286Z digest=sha256:6c95aecc1e10733e27bd60baff5560b4a12a52d327b60a60ab442c3815447148

Observation b4aeaab1-f148-45da-aa88-76c4654382e6 · inbound

MemCompiler: Compile, Don't Inject -- State-Conditioned Memory for Embodied Agents cites this paper.

MemCompiler: Compile, Don't Inject -- State-Conditioned Memory for Embodied Agents G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems

Reference 39

Resolution
verified exact
arxiv_id, observed 2026-05-11T03:10:53.806512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-11T02:36:53.775557Z digest=sha256:939871d9ecc321af6413c13d7681fff02de681aafbea03e24fdd8ee40f02732c

Observation f77818c5-1c24-474a-a8d0-26334c55837c · inbound

MemCompiler: Compile, Don't Inject -- State-Conditioned Memory for Embodied Agents cites this paper.

MemCompiler: Compile, Don't Inject -- State-Conditioned Memory for Embodied Agents G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems

Reference 39

Resolution
verified exact
arxiv_id, observed 2026-05-15T05:59:49.055367Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-15T05:57:05.259111Z digest=sha256:54ef7ab8629b38fa4f6f82fd7549a1b74750bc88c61f66ded084aa2538872946

Observation 7d3ade9c-6270-456f-8e84-6dccf340605d · inbound

EquiMem: Calibrating Shared Memory in Multi-Agent Debate via Game-Theoretic Equilibrium cites this paper.

EquiMem: Calibrating Shared Memory in Multi-Agent Debate via Game-Theoretic Equilibrium G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems

Reference 89

Resolution
verified exact
arxiv_id, observed 2026-05-12T05:56:26.196422Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-12T04:47:29.903343Z digest=sha256:5e960f6001dcc41d2abdad770575b18f8a0f4470de2e6c8afece79de8cfe13f0

Observation f503088e-66db-4cd4-9a73-a954b29ea3cf · inbound

The Trap of Trajectory: Towards Understanding and Mitigating Spurious Correlations in Agentic Memory cites this paper.

The Trap of Trajectory: Towards Understanding and Mitigating Spurious Correlations in Agentic Memory G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems

Reference 62

Resolution
verified exact
arxiv_id, observed 2026-05-12T06:01:22.808275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-12T04:42:49.379223Z digest=sha256:c4d7660a8f95a385f338592d72fab5ad4b230b5a286aefa89aec0f9d1e1e8907

Observation f8613966-3e9f-4624-961d-a4305f94ab81 · inbound

SAGE: A Self-Evolving Agentic Graph-Memory Engine for Structure-Aware Associative Memory cites this paper.

SAGE: A Self-Evolving Agentic Graph-Memory Engine for Structure-Aware Associative Memory G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems

Reference 251

Resolution
metadata mismatch
arxiv_id, observed 2026-05-13T04:52:17.506396Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-13T04:45:34.957298Z digest=sha256:f90cfbf710dcf010eb2b879617c1e65b3386ff127bcde6fbfa607ae4a54f3bcb

Observation 02ed62b2-63b0-4422-a93e-d0ce30a6ea2a · inbound

MAP: A Map-then-Act Paradigm for Long-Horizon Interactive Agent Reasoning cites this paper.

MAP: A Map-then-Act Paradigm for Long-Horizon Interactive Agent Reasoning G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems

Reference 45

Resolution
verified exact
arxiv_id, observed 2026-05-14T19:49:25.810074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-14T19:48:53.213389Z digest=sha256:6e1d5e6bf27d24c1da071bc460a3a82f99a018aa65075784ab3d452eacb82184

Observation b608efb2-ee16-46f9-bcd4-921652f643ba · inbound

PREPING: Building Agent Memory without Tasks cites this paper.

PREPING: Building Agent Memory without Tasks G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems

Reference 33

Resolution
malformed identifier
arxiv_id, observed 2026-05-15T06:15:06.862668Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-15T06:14:14.385586Z digest=sha256:65aead48866023f73957b4bfd569e0ae1b22790b6f65d315d902585c5862cc3a

Observation 5ffc09a4-9050-40af-bdf5-1c3987580b6c · inbound

ClawForge: Generating Executable Interactive Benchmarks for Command-Line Agents cites this paper.

ClawForge: Generating Executable Interactive Benchmarks for Command-Line Agents G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems

Reference 45

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T05:09:45.104811Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-15T05:08:15.750558Z digest=sha256:9adc01687fbc2b31eb4c27c76df7a215d6d3f051867aabe622cc1ef707528a68

Observation e812a28a-df11-4ad8-84db-a08f174907fa · inbound

ClawForge: Generating Executable Interactive Benchmarks for Command-Line Agents cites this paper.

ClawForge: Generating Executable Interactive Benchmarks for Command-Line Agents G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems

Reference 45

Resolution
metadata mismatch
arxiv_id, observed 2026-05-20T20:23:43.263414Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-20T20:19:21.824216Z digest=sha256:01e094227473bea1172dfeaf8bf14e984d0dcca7d6fb436c434e5d40beddef81

Observation b663566a-1c6f-49d1-ae63-7c7d130a5aab · inbound

EXG: Self-Evolving Agents with Experience Graphs cites this paper.

EXG: Self-Evolving Agents with Experience Graphs G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems

Reference 46

Resolution
verified exact
arxiv_id, observed 2026-05-19T22:17:49.400040Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-19T22:17:10.728289Z digest=sha256:f80d786b3cb77629a9aeda76a0ead967e6355bf05597206be228da50514f8d43

Observation 596ed59e-b5bf-45c2-8ab3-6739863e5118 · inbound

Memory-R2: Fair Credit Assignment for Long-Horizon Memory-Augmented LLM Agents cites this paper.

Memory-R2: Fair Credit Assignment for Long-Horizon Memory-Augmented LLM Agents G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-05-22T09:21:21.782963Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-22T09:18:15.753115Z digest=sha256:2e78b72aebe06a9b1fd62b6ea601a331f28857cd0ae70228786ba9988a9df9ab

Observation ab636b72-47dd-467f-bab0-0b43bd6ac3b0 · inbound

Self-Evolving Multi-Agent Systems via Decentralized Memory cites this paper.

Self-Evolving Multi-Agent Systems via Decentralized Memory G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-22T03:20:59.046381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-22T03:20:14.212201Z digest=sha256:cfd4b1baad2107460723297de1128728fe5bc109940ecc9d0888d4a1d523b4ef

Observation 1d98c228-994e-4265-a70a-b19bdc5d2d11 · inbound

Towards trustworthy agentic AI: a comprehensive survey of safety, robustness, privacy, and system security cites this paper.

Towards trustworthy agentic AI: a comprehensive survey of safety, robustness, privacy, and system security G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems

Reference 199

Resolution
verified exact
arxiv_id, observed 2026-06-30T19:45:01.578471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-30T19:18:40.244556Z digest=sha256:60cd9b8e2262f59b7375c0c38010ee7f9f1c1de0769feff1d3cb1acec59b72ca

Observation e99916cd-838f-4071-9ef8-e3e92fba5d96 · inbound

Rethinking Memory as Continuously Evolving Connectivity cites this paper.

Rethinking Memory as Continuously Evolving Connectivity G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems

Reference 62

Resolution
verified exact
arxiv_id, observed 2026-06-29T12:33:24.788069Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-06-29T12:25:50.220145Z digest=sha256:60897ab3d10ae7e29b1ec54c1aec0e28b55e8a7371538126afe6480f11ee831f

Observation 2d4a86d0-49db-4f0c-8454-d26adeb933ff · inbound

Beyond Semantic Organization: Memory as Execution State Management for Long-Horizon Agents cites this paper.

Beyond Semantic Organization: Memory as Execution State Management for Long-Horizon Agents G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems

Reference 7

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T12:46:57.332758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-28T01:48:27.500631Z digest=sha256:594c99f1b2afb29c92effff5e89a00300605340c8d4b0a269427b503b15b0057

Observation b1c2df49-34a2-4901-8134-3922f984e19b · inbound

ConMem: Structured Memory-Guided Adaptation in Training-Free Multi-Agent Systems cites this paper.

ConMem: Structured Memory-Guided Adaptation in Training-Free Multi-Agent Systems G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-07-02T22:37:26.603321Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-27T18:41:56.982127Z digest=sha256:55d18a954630cc60f53c9252b8030ce71d2abbe7ba1eec18eea3b4960f42a78f

Observation f0fe70a6-bcd7-432b-95d9-ee64fd3b2e0e · inbound

Co-Evolving Skill Generation and Policy Optimization cites this paper.

Co-Evolving Skill Generation and Policy Optimization G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems

Reference 64

Resolution
verified exact
arxiv_id, observed 2026-07-02T22:47:26.421753Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-27T18:37:00.015083Z digest=sha256:e5c81e2ac78d751c7062e359c03677c82651c0ecd91297b387c534b9966acef1

Observation 6288f445-7950-4a14-bd07-8f778e5611a8 · inbound

Token-Operations-Oriented Inference Optimization Techniques for Large Models cites this paper.

Token-Operations-Oriented Inference Optimization Techniques for Large Models G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems

Reference 106

Resolution
verified exact
arxiv_id, observed 2026-07-04T05:09:36.926737Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-26T16:15:22.543601Z digest=sha256:fbbc40a0aba2e7a4bb14131a4bb42a8901b2d8dd0913a3f45ea3c7a7e0fd676f

Observation 090d00ca-c7e0-4208-bbc5-53dd7b95c9fe · inbound

Token-Operations-Oriented Inference Optimization Techniques for Large Models cites this paper.

Token-Operations-Oriented Inference Optimization Techniques for Large Models G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems

Reference 106

Resolution
unresolved
no resolver link, observed 2026-08-02T10:49:10.181674Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T10:49:10.181674Z digest=sha256:c3306044bfea7825000745e4595f3e7df62df9bde8d4458b916d1435eb08093c

Observation 893cdd5b-cd63-4fd0-838f-008ba6f8585e · inbound

How Much Coordination Gain Is Real? A Paired Noise-Floor Protocol for Multi-Agent LLM Benchmarks cites this paper.

How Much Coordination Gain Is Real? A Paired Noise-Floor Protocol for Multi-Agent LLM Benchmarks G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems

Reference 35

Resolution
verified exact
arxiv_id, observed 2026-07-03T18:38:48.836611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-27T02:49:04.341583Z digest=sha256:9632842eed8cb10120a8e095e9c2a47223b359d2b8adade1b96fea9eb4db7894

Observation cf538a80-63dd-4e81-9035-5cb2411fc42d · inbound

MetaPS: Adaptive Programmatic Strategy Selection for Market Agents cites this paper.

MetaPS: Adaptive Programmatic Strategy Selection for Market Agents G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems

Reference 49

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T08:39:42.559706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-06-26T11:06:28.690956Z digest=sha256:ac7363607a4024514d4d9d65dd52efe1eee4450d4346b4c42a081a8b7acc3079

Observation 53373bf3-4f82-4f19-bf6f-2e4f4bcf5075 · inbound

Governed Shared Memory for Multi-Agent LLM Systems cites this paper.

Governed Shared Memory for Multi-Agent LLM Systems G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems

Reference 25

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T17:09:58.704054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-25T23:56:11.566393Z digest=sha256:82d59bd2cfbfaf55ee4fd6231b8c136fc8e4d5f4965d2fb1662ea2b03847e578

Observation 3cecfd7c-5a64-445d-a98a-ab2c996f9065 · inbound

R$^2$-Searcher: Calibrating Retrieval and Reasoning Boundaries for Agentic Search cites this paper.

R$^2$-Searcher: Calibrating Retrieval and Reasoning Boundaries for Agentic Search G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems

Reference 59

Resolution
verified exact
arxiv_id, observed 2026-06-30T00:34:05.229923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-30T00:33:59.778294Z digest=sha256:3eb9a29c7129c91a2839ef71ddb1839f610e7b2dc84e1161baf897d52ae3d670

Observation 51d2ae51-2af7-401a-b2d9-0686d96a9d20 · inbound

What to Keep, What to Forget: A Rate--Distortion View of Memory Compaction in LLMs and Agents cites this paper.

What to Keep, What to Forget: A Rate--Distortion View of Memory Compaction in LLMs and Agents G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems

Reference 146

Resolution
verified exact
local_arxiv, observed 2026-07-10T01:36:44.002603Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-07-10T01:26:59.421158Z digest=sha256:3d550080670f00f3a77d8e91d256d58d3bc8059887adb2376b8c2f1703b00938

Observation d65400a8-1f43-46cc-93eb-21bf779d78b8 · inbound

Mosaic: Runtime-Efficient Multi-Agent Embodied Planning cites this paper.

Mosaic: Runtime-Efficient Multi-Agent Embodied Planning G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems

Reference 11

Resolution
malformed identifier
no resolver link, observed 2026-07-13T01:48:40.840857Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T01:48:40.840857Z digest=sha256:5330d89c3dc85aaf9753a053e3daed875f0ab72801d63eed732f1c31b26ef229

Observation acf83a8e-8481-4ab1-8231-39ac6af097d8 · inbound

Memory as a Controlled Process: Learned Adaptive Memory Management for LLM Agents cites this paper.

Memory as a Controlled Process: Learned Adaptive Memory Management for LLM Agents G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-02T04:50:30.548751Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T04:50:30.548751Z digest=sha256:39b58761a750d055a1aa089788dff4b967ad7d26da53d10834b9664adc9ca4fa

Observation 2df9f464-0dd6-4ec9-8131-b08121a88844 · inbound

Knowledge-Centric Self-Improvement cites this paper.

Knowledge-Centric Self-Improvement G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-01T12:21:59.122258Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T12:21:59.122258Z digest=sha256:aa70385495d41cc7d5de174e71d306478cace886a500d8e33df95f808ca56c4d

Observation 9e208cd2-eb40-41a8-bf5d-698d16ebd32b · inbound

AgentKVShift: Efficient KV Cache Reuse for Agentic Memory Systems cites this paper.

AgentKVShift: Efficient KV Cache Reuse for Agentic Memory Systems G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-02T13:56:34.026602Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T13:56:34.026602Z digest=sha256:7c31a8162ea86594b351ddbe68798773ec98776c1c2aa5f7df159983327293dc