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Paper Citation Record · LEDGER

ABot-AgentOS: A General Robotic Agent OS with Lifelong Multi-modal Memory

As of 4 August 2026, this Paper Citation Record lists 100 of 131 outbound references and 0 inbound Pith citation observations for arXiv:2607.10350.

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

pith.paper-citation-record.v1
2607.10350 v3

Coverage vector

measured 100 of 131 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T07:21:35.372844Z

measured 100 of 100 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-03T06:30:56.289259+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

100 of 131 outbound references displayed

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  • verified fuzzy0
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Outbound references

Observation c062a050-a56f-4bb4-a95e-55ac0be7d3ad · outbound

This paper cites Do As I Can, Not As I Say: Grounding Language in Robotic Affordances.

ABot-AgentOS: A General Robotic Agent OS with Lifelong Multi-modal Memory Do As I Can, Not As I Say: Grounding Language in Robotic Affordances

Reference 1

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source=pdf_text observed=2026-08-02T07:21:23.590980Z digest=sha256:9256b999849ca1715310bedcc9276ed0da39d7bca28d8ea58f30e5f2c054bf28

Observation de8d181f-585d-4723-a00f-67c6da80fcba · outbound

This paper cites GraphPad: Inference-Time 3D Scene Graph Updates for Embodied Question Answering.

ABot-AgentOS: A General Robotic Agent OS with Lifelong Multi-modal Memory GraphPad: Inference-Time 3D Scene Graph Updates for Embodied Question Answering

Reference 2

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source=pdf_text observed=2026-08-02T07:21:23.668559Z digest=sha256:0a0cfec995b534e2ac1df62b2352ff12a20173eeecaabc316dba1bdbe497278a

Observation 186b9c76-3a76-47a0-97be-d749c285e102 · outbound

This paper cites Introducing computer use, a new Claude 3.5 Sonnet, and Claude 3.5 Haiku.https://www.anthropic.

ABot-AgentOS: A General Robotic Agent OS with Lifelong Multi-modal Memory Introducing computer use, a new Claude 3.5 Sonnet, and Claude 3.5 Haiku.https://www.anthropic

Reference 3

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Observation a085b35e-1899-41a0-93d6-9f55610f1a85 · outbound

This paper cites Advisor tool.

ABot-AgentOS: A General Robotic Agent OS with Lifelong Multi-modal Memory Advisor tool

Reference 4

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Observation ffcc7cd2-e58d-468f-bf8c-49904fdd40bc · outbound

This paper cites EVE-Agent: Evidence-Verifiable Self-Evolving Agents.

ABot-AgentOS: A General Robotic Agent OS with Lifelong Multi-modal Memory EVE-Agent: Evidence-Verifiable Self-Evolving Agents

Reference 5

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Observation 05a4cf9f-a0fe-46ec-92aa-975355da2544 · outbound

This paper cites Glance and focus: Memory prompting for multi-event video question answering.

ABot-AgentOS: A General Robotic Agent OS with Lifelong Multi-modal Memory Glance and focus: Memory prompting for multi-event video question answering

Reference 6

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Observation 960641ee-6088-4d94-a552-1719089681ef · outbound

This paper cites Mem-gallery: Benchmarking multimodal long-term conversational memory for mllm agents.

ABot-AgentOS: A General Robotic Agent OS with Lifelong Multi-modal Memory Mem-gallery: Benchmarking multimodal long-term conversational memory for mllm agents

Reference 7

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Observation 633efd00-8517-4207-ac56-40d62c3fc4bb · outbound

This paper cites Revisiting the “Video” in Video-Language Understanding.

ABot-AgentOS: A General Robotic Agent OS with Lifelong Multi-modal Memory Revisiting the “Video” in Video-Language Understanding

Reference 8

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Observation afdbfd27-3128-4651-ad92-966430fbad85 · outbound

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

ABot-AgentOS: A General Robotic Agent OS with Lifelong Multi-modal Memory Remember Me, Refine Me: A Dynamic Procedural Memory Framework for Experience-Driven Agent Evolution

Reference 9

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source=pdf_text observed=2026-08-02T07:21:24.338033Z digest=sha256:b9f202a2634586d72b3eed091490c64324fb9eeb2d358044b66fc8af21467b22

Observation 6944fe37-d6f5-465e-9b59-34c5e158f31d · outbound

This paper cites Astranav-world: World model for foresight control and consistency, 2025.

ABot-AgentOS: A General Robotic Agent OS with Lifelong Multi-modal Memory Astranav-world: World model for foresight control and consistency, 2025

Reference 10

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Observation b2d1121f-ce1f-4427-9138-ead395cd643b · outbound

This paper cites FrugalGPT: How to use large language models while reducing cost and improving performance.Transactionson Machine Learning Research, 2024.

ABot-AgentOS: A General Robotic Agent OS with Lifelong Multi-modal Memory FrugalGPT: How to use large language models while reducing cost and improving performance.Transactionson Machine Learning Research, 2024

Reference 11

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Observation 398da30e-be78-4350-b18a-173fd59d7ffd · outbound

This paper cites an unresolved cited work.

ABot-AgentOS: A General Robotic Agent OS with Lifelong Multi-modal Memory Unresolved cited work

Reference 12

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Observation 821446b2-207e-41ef-a26e-fbcd8962db60 · outbound

This paper cites Explore like humans: Autonomous exploration with online sg-memo construction for embodied agents,.

ABot-AgentOS: A General Robotic Agent OS with Lifelong Multi-modal Memory Explore like humans: Autonomous exploration with online sg-memo construction for embodied agents,

Reference 13

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source=pdf_text observed=2026-08-02T07:21:24.661158Z digest=sha256:a8198715155ba1713f752b4a8860c9e5c919f0beeaf64284b2d5dd6c3430c767

Observation 3086571c-68f8-4abd-ac67-d77cebd6583f · outbound

This paper cites Socialnav: Training human-inspired foundation model for socially-aware embodied navigation.

ABot-AgentOS: A General Robotic Agent OS with Lifelong Multi-modal Memory Socialnav: Training human-inspired foundation model for socially-aware embodied navigation

Reference 14

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Observation 374071af-3ae3-4838-ac1a-21c69cebe33e · outbound

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

ABot-AgentOS: A General Robotic Agent OS with Lifelong Multi-modal Memory Mem0: Building Production-Ready AI Agents with Scalable Long-Term Memory

Reference 15

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Observation 7ecee1a5-b0f6-46d1-a197-526b1181dc9a · outbound

This paper cites Graphvideoagent: Enhancing long-form video understanding with entity relation graphs.

ABot-AgentOS: A General Robotic Agent OS with Lifelong Multi-modal Memory Graphvideoagent: Enhancing long-form video understanding with entity relation graphs

Reference 16

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Observation 0f8cebdb-dbb8-4fcb-a620-1a4f67adf6a6 · outbound

This paper cites Abot-n0: Technical report on the vla foundation model for versatile embodied navigation.

ABot-AgentOS: A General Robotic Agent OS with Lifelong Multi-modal Memory Abot-n0: Technical report on the vla foundation model for versatile embodied navigation

Reference 18

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Observation 09198252-6326-40ca-a0dc-170c92eb9793 · outbound

This paper cites Videoagent: A memory-augmented multimodal agent for video understanding.

ABot-AgentOS: A General Robotic Agent OS with Lifelong Multi-modal Memory Videoagent: A memory-augmented multimodal agent for video understanding

Reference 19

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Observation ee8f5a4c-ea5e-4fee-8dc8-da296c9603b2 · outbound

This paper cites Group-in-Group Policy Optimization for LLM Agent Training.

ABot-AgentOS: A General Robotic Agent OS with Lifelong Multi-modal Memory Group-in-Group Policy Optimization for LLM Agent Training

Reference 20

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Observation d951845a-b12b-4c17-82d7-77d7e3c9563d · outbound

This paper cites Neural graph memory: A structured approach to long-term memory in multimodal agents.

ABot-AgentOS: A General Robotic Agent OS with Lifelong Multi-modal Memory Neural graph memory: A structured approach to long-term memory in multimodal agents

Reference 21

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Observation 85335601-6887-4905-aa18-2060ef787bdf · outbound

This paper cites EmbodiedCity: A Benchmark Platform for Embodied Agent in Real-world City Environment.

ABot-AgentOS: A General Robotic Agent OS with Lifelong Multi-modal Memory EmbodiedCity: A Benchmark Platform for Embodied Agent in Real-world City Environment

Reference 22

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source=pdf_text observed=2026-08-02T07:21:25.854063Z digest=sha256:d89cc21ec5519dc6144f287b5aa6b575dfb279f7d119851973ed377762232432

Observation af798b63-03f9-4cef-a0c4-137ebb2aa477 · outbound

This paper cites AssistGPT: A General Multi-modal Assistant that can Plan, Execute, Inspect, and Learn.

ABot-AgentOS: A General Robotic Agent OS with Lifelong Multi-modal Memory AssistGPT: A General Multi-modal Assistant that can Plan, Execute, Inspect, and Learn

Reference 23

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source=pdf_text observed=2026-08-02T07:21:26.048698Z digest=sha256:29e17ad2bc8f519acaa719f1c479fabfca9af9d8672c4fcf0f8e0ec762ec30c9

Observation 40a6382f-6358-4814-afb4-5f19018598e5 · outbound

This paper cites Mist : Multi-modal iterative spatial- temporal transformer for long-form video question answering.

ABot-AgentOS: A General Robotic Agent OS with Lifelong Multi-modal Memory Mist : Multi-modal iterative spatial- temporal transformer for long-form video question answering

Reference 24

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Observation 8dcbdbf5-2cdf-459b-ba81-ceac92cf1d45 · outbound

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

ABot-AgentOS: A General Robotic Agent OS with Lifelong Multi-modal Memory A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence

Reference 25

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source=pdf_text observed=2026-08-02T07:21:26.373970Z digest=sha256:20a211410388ca8795aa0ae54f72b41320181889f40fccd28682304d00406b2a

Observation 722314fa-96ef-4e8e-ab8b-6d45443410e8 · outbound

This paper cites Openfly: A comprehensive platform for aerial vision-language navigation.

ABot-AgentOS: A General Robotic Agent OS with Lifelong Multi-modal Memory Openfly: A comprehensive platform for aerial vision-language navigation

Reference 26

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Observation 3f6a8f50-8fe5-4a10-9867-c8db609cf765 · outbound

This paper cites POINav: Benchmarking and Enhancing Final-Meters Arrival in Real-World Vision-Language Navigation.

ABot-AgentOS: A General Robotic Agent OS with Lifelong Multi-modal Memory POINav: Benchmarking and Enhancing Final-Meters Arrival in Real-World Vision-Language Navigation

Reference 27

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Observation 61783a07-8b89-459f-9bf7-a4c2ad9c4a54 · outbound

This paper cites Google gemini 2.5 pro.

ABot-AgentOS: A General Robotic Agent OS with Lifelong Multi-modal Memory Google gemini 2.5 pro

Reference 28

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Observation 6fa4f56b-8513-4ed8-a2a3-d35cb307d4d1 · outbound

This paper cites Gemini Robotics brings AI into the physical world.

ABot-AgentOS: A General Robotic Agent OS with Lifelong Multi-modal Memory Gemini Robotics brings AI into the physical world

Reference 29

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Observation adc61454-3209-49ca-8df5-046df9a6df54 · outbound

This paper cites SWE-TRACE: Optimizing Long-Horizon SWE Agents Through Rubric Process Reward Models and Heuristic Test-Time Scaling.

ABot-AgentOS: A General Robotic Agent OS with Lifelong Multi-modal Memory SWE-TRACE: Optimizing Long-Horizon SWE Agents Through Rubric Process Reward Models and Heuristic Test-Time Scaling

Reference 30

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source=pdf_text observed=2026-08-02T07:21:26.951976Z digest=sha256:4a49907b3270a192d053fb39536b01755ab978c2f9da837abef6a5103f087be8

Observation 929893f6-4209-4647-ac4f-d8a8f0d82141 · outbound

This paper cites Learning to Evolve: A Self-Improving Framework for Multi-Agent Systems via Textual Parameter Graph Optimization.

ABot-AgentOS: A General Robotic Agent OS with Lifelong Multi-modal Memory Learning to Evolve: A Self-Improving Framework for Multi-Agent Systems via Textual Parameter Graph Optimization

Reference 31

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Observation ff3b37c9-4196-40ad-90ad-50f1b813b424 · outbound

This paper cites Embodied Web Agents: Bridging Physical-Digital Realms for Integrated Agent Intelligence.

ABot-AgentOS: A General Robotic Agent OS with Lifelong Multi-modal Memory Embodied Web Agents: Bridging Physical-Digital Realms for Integrated Agent Intelligence

Reference 32

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Observation 234f0218-c8f9-4cd2-808f-0fb4d6281166 · outbound

This paper cites Inner Monologue: Embodied Reasoning through Planning with Language Models.

ABot-AgentOS: A General Robotic Agent OS with Lifelong Multi-modal Memory Inner Monologue: Embodied Reasoning through Planning with Language Models

Reference 33

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Observation eb957039-7643-4f93-95f1-6f6bc7f304d9 · outbound

This paper cites Augustus: An llm-driven multimodal agent system with contextualized user memory.

ABot-AgentOS: A General Robotic Agent OS with Lifelong Multi-modal Memory Augustus: An llm-driven multimodal agent system with contextualized user memory

Reference 34

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Observation 18239c4b-f0c2-405b-9aa5-e1bf6f738cb1 · outbound

This paper cites Robobrain: A unified brain model for robotic manipulation from abstract to concrete.

ABot-AgentOS: A General Robotic Agent OS with Lifelong Multi-modal Memory Robobrain: A unified brain model for robotic manipulation from abstract to concrete

Reference 35

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Observation 83ceb1f1-a5ef-4014-90fa-9964332f804b · outbound

This paper cites Galaxea Open-World Dataset and G0 Dual-System VLA Model.

ABot-AgentOS: A General Robotic Agent OS with Lifelong Multi-modal Memory Galaxea Open-World Dataset and G0 Dual-System VLA Model

Reference 36

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Observation a609f365-2bae-41cc-b115-0fa1501f8965 · outbound

This paper cites SWE-bench: Can Language Models Resolve Real-World GitHub Issues?.

ABot-AgentOS: A General Robotic Agent OS with Lifelong Multi-modal Memory SWE-bench: Can Language Models Resolve Real-World GitHub Issues?

Reference 37

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source=pdf_text observed=2026-08-02T07:21:27.738038Z digest=sha256:c091f057736d2d4a7455936df75936af2f771a64c8764b4385303e346da256ec

Observation 5c7dae5b-6ade-4155-bda1-fd63632a241d · outbound

This paper cites Memory os of ai agent.

ABot-AgentOS: A General Robotic Agent OS with Lifelong Multi-modal Memory Memory os of ai agent

Reference 38

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source=pdf_text observed=2026-08-02T07:21:27.793611Z digest=sha256:d8756a317571441533e7b425b1c98dbf8590d959b26a5efb8745387fdfb0d49e

Observation 7a5655b3-ed7d-4eeb-a491-b6cc03495049 · outbound

This paper cites DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines.

ABot-AgentOS: A General Robotic Agent OS with Lifelong Multi-modal Memory DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines

Reference 39

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source=pdf_text observed=2026-08-02T07:21:27.852686Z digest=sha256:fa90e930b945dc79ec750389052bf14ea10de9c1bb2e1b41568549c754a5912b

Observation c75d7409-c9e5-4b94-bb5f-cebbca489ec1 · outbound

This paper cites Semi-parametric video-grounded text generation,.

ABot-AgentOS: A General Robotic Agent OS with Lifelong Multi-modal Memory Semi-parametric video-grounded text generation,

Reference 40

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source=pdf_text observed=2026-08-02T07:21:27.901678Z digest=sha256:f5626a4e1ac46813ae0da5235c6b9ba44bb4a72c3ca0e2e0d0d511801d027423

Observation 56795f58-544d-4300-aa2e-a6730af66c44 · outbound

This paper cites SplatReasoner: Enhancing Embodied Reasoning and Grounding by Novel View Synthesis.

ABot-AgentOS: A General Robotic Agent OS with Lifelong Multi-modal Memory SplatReasoner: Enhancing Embodied Reasoning and Grounding by Novel View Synthesis

Reference 41

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source=pdf_text observed=2026-08-02T07:21:28.035076Z digest=sha256:ba4ba49d2c34e2d334b46c1af2a86f81f48f626b5b589b04e7031f204c80fdca

Observation adc8af1d-663e-49b9-9830-3d14eab93b62 · outbound

This paper cites Citynav: A large-scale dataset for real-world aerial navigation.

ABot-AgentOS: A General Robotic Agent OS with Lifelong Multi-modal Memory Citynav: A large-scale dataset for real-world aerial navigation

Reference 42

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source=pdf_text observed=2026-08-02T07:21:28.098639Z digest=sha256:28ec720a2b2c390b895fd312a9c16ffbc757b63cfb7d64fee791a4b0bc7e8ddf

Observation bdb4d6af-5021-41cf-8412-6f9e5427075a · outbound

This paper cites Robomemory: A brain-inspired multi-memory agentic framework for interactive environmental learning in physical embodied systems.arXiv preprint arXiv:2508.01415, 2025.

ABot-AgentOS: A General Robotic Agent OS with Lifelong Multi-modal Memory Robomemory: A brain-inspired multi-memory agentic framework for interactive environmental learning in physical embodied systems.arXiv preprint arXiv:2508.01415, 2025

Reference 43

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source=pdf_text observed=2026-08-02T07:21:28.171989Z digest=sha256:2ad8bee913cb6b75376e86cdcd6e84498ffdb8417df06840b822e36dbe3e43d1

Observation dddaebba-3222-479a-850d-d2fa71989e71 · outbound

This paper cites Behavior-1k: A benchmark for embodied ai with 1,000 everyday activities and realistic simulation.

ABot-AgentOS: A General Robotic Agent OS with Lifelong Multi-modal Memory Behavior-1k: A benchmark for embodied ai with 1,000 everyday activities and realistic simulation

Reference 44

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source=pdf_text observed=2026-08-02T07:21:28.253940Z digest=sha256:8fe7bc2703e75fdbf1c6c9a1f387da9b50da620d2d54790141d3599a7a5dcf67

Observation 2c691ba5-62e3-4848-bc41-35bc1552a65d · outbound

This paper cites Leveraging LLMs as Meta-Judges: A Multi-Agent Framework for Evaluating LLM Judgments.

ABot-AgentOS: A General Robotic Agent OS with Lifelong Multi-modal Memory Leveraging LLMs as Meta-Judges: A Multi-Agent Framework for Evaluating LLM Judgments

Reference 45

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source=pdf_text observed=2026-08-02T07:21:28.286096Z digest=sha256:ecd865d8b10239046a6d4a1d77cbffe44174b6cabac02c13b0b92162b485e264

Observation f5fae675-7fab-4baf-b5b1-edfa2230ba3c · outbound

This paper cites EviMem: Evidence-Gap-Driven Iterative Retrieval for Long-Term Conversational Memory.

ABot-AgentOS: A General Robotic Agent OS with Lifelong Multi-modal Memory EviMem: Evidence-Gap-Driven Iterative Retrieval for Long-Term Conversational Memory

Reference 46

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source=pdf_text observed=2026-08-02T07:21:28.352282Z digest=sha256:98f5f9ae64981e437c42bb9c54f499387e25a7b3e863c67e041bfdceae2ee2e4

Observation 800cc03c-a89e-4813-9ff9-c6a94e8b491d · outbound

This paper cites Memma: Coordinating the memory cycle through multi-agent reasoning and in-situ self-evolution.arXiv preprint arXiv:2603.18718, 2026.

ABot-AgentOS: A General Robotic Agent OS with Lifelong Multi-modal Memory Memma: Coordinating the memory cycle through multi-agent reasoning and in-situ self-evolution.arXiv preprint arXiv:2603.18718, 2026

Reference 47

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source=pdf_text observed=2026-08-02T07:21:28.459986Z digest=sha256:1c1ebb32633a528cbf53cb82bde8b2a11c620acccbfcfc4012d94bdad03f4e2d

Observation 59cf0f47-bf7b-4ecf-9dc9-f60e69ba9f54 · outbound

This paper cites Navforesee: A unified vision-language world model for hierarchical planning and dual-horizon navigation prediction.

ABot-AgentOS: A General Robotic Agent OS with Lifelong Multi-modal Memory Navforesee: A unified vision-language world model for hierarchical planning and dual-horizon navigation prediction

Reference 48

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source=pdf_text observed=2026-08-02T07:21:28.577163Z digest=sha256:fb99d22dece5bc03362b6ca3b3e989e57ea9d6b117a8332dd22f7ae74f4b0166

Observation 5ab07459-3230-4c9c-b727-c28ebb744e84 · outbound

This paper cites SimpleMem: Efficient Lifelong Memory for LLM Agents.

ABot-AgentOS: A General Robotic Agent OS with Lifelong Multi-modal Memory SimpleMem: Efficient Lifelong Memory for LLM Agents

Reference 49

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source=pdf_text observed=2026-08-02T07:21:28.731407Z digest=sha256:7ee34a5a8272cd4a04da22b4f0d6b5df4dc0e36713a77e244354ad99b06d1348

Observation cc7c58d8-deee-4dac-87b8-05bf092e540f · outbound

This paper cites EvolveMem:Self-Evolving Memory Architecture via AutoResearch for LLM Agents.

ABot-AgentOS: A General Robotic Agent OS with Lifelong Multi-modal Memory EvolveMem:Self-Evolving Memory Architecture via AutoResearch for LLM Agents

Reference 50

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source=pdf_text observed=2026-08-02T07:21:28.845174Z digest=sha256:73638c237b01edb0a3564e6526d9a0f2d0fd04ffee61f09bb8b6297e4572e03e

Observation b38f3e1c-fbc9-4084-889a-52ef3a3f00dd · outbound

This paper cites Wanderland: Geometrically grounded simulation for open-world embodied ai.

ABot-AgentOS: A General Robotic Agent OS with Lifelong Multi-modal Memory Wanderland: Geometrically grounded simulation for open-world embodied ai

Reference 51

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source=pdf_text observed=2026-08-02T07:21:29.009112Z digest=sha256:36e941af8121c945322fd2ae87a9c93dba30dc507b4deb44698854972e690eee

Observation 37e63326-e7e5-4218-853b-17de4402e78c · outbound

This paper cites Evaluating Very Long-Term Conversational Memory of LLM Agents.

ABot-AgentOS: A General Robotic Agent OS with Lifelong Multi-modal Memory Evaluating Very Long-Term Conversational Memory of LLM Agents

Reference 52

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source=pdf_text observed=2026-08-02T07:21:29.108186Z digest=sha256:f02759569e92e465d9d9783d6d9a33e4dfc33f80400346491e4632551d255c58

Observation 9c9d28df-2c60-47d6-95fb-cdf866972597 · outbound

This paper cites Openeqa: Embodied question answering in the era of foundation models.

ABot-AgentOS: A General Robotic Agent OS with Lifelong Multi-modal Memory Openeqa: Embodied question answering in the era of foundation models

Reference 53

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source=pdf_text observed=2026-08-02T07:21:29.226717Z digest=sha256:49ca54ddbdf717384e44e99f1b4ca7a1bcf623d65462c56d17ef91b20cb8ead9

Observation ef91e6cf-dca9-49d3-9711-e9da46c6da13 · outbound

This paper cites R-eqa: Retrieval-augmented generation for embodied question answering, 2025.

ABot-AgentOS: A General Robotic Agent OS with Lifelong Multi-modal Memory R-eqa: Retrieval-augmented generation for embodied question answering, 2025

Reference 55

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source=pdf_text observed=2026-08-02T07:21:29.384053Z digest=sha256:3e98b10195c10d86b6f5b51692b8bdde59bcc399eef539dbcffac97573db8e61

Observation d6ef4a3b-cceb-4e1f-9a67-5e905e64442d · outbound

This paper cites RouteLLM: Learning to Route LLMs with Preference Data.

ABot-AgentOS: A General Robotic Agent OS with Lifelong Multi-modal Memory RouteLLM: Learning to Route LLMs with Preference Data

Reference 56

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source=pdf_text observed=2026-08-02T07:21:29.455596Z digest=sha256:a4e4e182b56c40e8a12eca98390390d06c2cf495d3d2a5f39e131d88556ead15

Observation a21f935c-2319-4d7d-a929-dc3d43599736 · outbound

This paper cites Openai gpt-4.1.

ABot-AgentOS: A General Robotic Agent OS with Lifelong Multi-modal Memory Openai gpt-4.1

Reference 57

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source=pdf_text observed=2026-08-02T07:21:29.608958Z digest=sha256:cb207f518e63c2e55e98442331cb42712fec3a2a6ea455a5054cc4ab791c46c1

Observation 561d03ab-ac2a-49b3-80ee-6c7bb243babc · outbound

This paper cites Introducing ChatGPT agent: Bridging research and action.

ABot-AgentOS: A General Robotic Agent OS with Lifelong Multi-modal Memory Introducing ChatGPT agent: Bridging research and action

Reference 58

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source=pdf_text observed=2026-08-02T07:21:29.760543Z digest=sha256:ff3327ffd5cc524d758b3102faccb961520a2b10123e373079201711d77ddfe1

Observation 0afd7734-2a85-4777-977d-ba56a4661924 · outbound

This paper cites Introducing Operator.

ABot-AgentOS: A General Robotic Agent OS with Lifelong Multi-modal Memory Introducing Operator

Reference 59

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source=pdf_text observed=2026-08-02T07:21:29.920273Z digest=sha256:8813c8e28a719f94351163962924ddd3195b1e26790ccecfc0176594ea17c00e

Observation 53944f2b-3e03-4983-a2e9-0bc8ce5be144 · outbound

This paper cites Openai gpt-5.4 mini.

ABot-AgentOS: A General Robotic Agent OS with Lifelong Multi-modal Memory Openai gpt-5.4 mini

Reference 60

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source=pdf_text observed=2026-08-02T07:21:30.084267Z digest=sha256:43d1f1ddcb579174161047a036595cb0e162a533e0dbce460d3ecaaa3a5c3841

Observation bd8cca96-0cc3-4046-a85d-31e65aafaad9 · outbound

This paper cites MemGPT: Towards LLMs as Operating Systems.

ABot-AgentOS: A General Robotic Agent OS with Lifelong Multi-modal Memory MemGPT: Towards LLMs as Operating Systems

Reference 61

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source=pdf_text observed=2026-08-02T07:21:30.258139Z digest=sha256:93cc7d2430ae0ed7fb893b483c010b2efbe0279e57e64d4dbc95d51d92449406

Observation 086c0082-8129-41f2-b2bf-a4d972406053 · outbound

This paper cites O’Brien, Carrie J.

ABot-AgentOS: A General Robotic Agent OS with Lifelong Multi-modal Memory O’Brien, Carrie J

Reference 62

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source=pdf_text observed=2026-08-02T07:21:30.385757Z digest=sha256:90504f1213a258dde84f325864fb98a209df349f4f029f450a52ca3e9530e5fd

Observation 20b141f3-0f08-433b-ae51-b27ffa4b0bbd · outbound

This paper cites ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs.

ABot-AgentOS: A General Robotic Agent OS with Lifelong Multi-modal Memory ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs

Reference 63

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source=pdf_text observed=2026-08-02T07:21:30.523004Z digest=sha256:6897ba72f9ce8de635e6e1cd8e8ec8c6c9bcacdec610e782ec913e5bf9029952

Observation 3432cf01-8238-4837-8f6d-c0a722f96df4 · outbound

This paper cites Agentic Very Long Video Understanding.

ABot-AgentOS: A General Robotic Agent OS with Lifelong Multi-modal Memory Agentic Very Long Video Understanding

Reference 64

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source=pdf_text observed=2026-08-02T07:21:30.657757Z digest=sha256:451a007ef3a3c82912bdee1c2d40a71494f01d8413a8964c9984ba54cf40302d

Observation c2a68730-53ff-4625-b6a9-451c7c8f5bf9 · outbound

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

ABot-AgentOS: A General Robotic Agent OS with Lifelong Multi-modal Memory MemInsight: Autonomous Memory Augmentation for LLM Agents

Reference 65

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source=pdf_text observed=2026-08-02T07:21:30.765221Z digest=sha256:802b4cf402b3b1f749d9b68bb0f7e47e3405b9a455f57da3b3151c61ad27878b

Observation ff217d03-2265-4f2c-94fb-d614163c840b · outbound

This paper cites Toolformer: Language models can teach themselves to use tools.

ABot-AgentOS: A General Robotic Agent OS with Lifelong Multi-modal Memory Toolformer: Language models can teach themselves to use tools

Reference 66

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source=pdf_text observed=2026-08-02T07:21:30.877506Z digest=sha256:008518e396839f9bf37142f755b8b93afe8c9f0c643f861851e7c2aec7a07707

Observation 4f636bde-a806-42f0-a043-33e6e6a357e0 · outbound

This paper cites Hi Robot: Open-Ended Instruction Following with Hierarchical Vision-Language-Action Models.

ABot-AgentOS: A General Robotic Agent OS with Lifelong Multi-modal Memory Hi Robot: Open-Ended Instruction Following with Hierarchical Vision-Language-Action Models

Reference 67

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source=pdf_text observed=2026-08-02T07:21:30.948050Z digest=sha256:31e934d1c241e09dea8c08d6239e5b3a0e0258efba819682e3279ca2fcc75e58

Observation ad233f21-69a1-42e3-b668-12c137aa2484 · outbound

This paper cites Meta-judging with large language models: Concepts, methods, and challenges.arXiv preprint arXiv:2601.17312, 2026.

ABot-AgentOS: A General Robotic Agent OS with Lifelong Multi-modal Memory Meta-judging with large language models: Concepts, methods, and challenges.arXiv preprint arXiv:2601.17312, 2026

Reference 68

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source=pdf_text observed=2026-08-02T07:21:31.008027Z digest=sha256:78ecd1d81b620ea6aa73aa7c9ec59c51878e29dec812b2d58bca5a07ee1310f8

Observation b18bef7c-bb81-41e9-99f2-8ba924fb1107 · outbound

This paper cites EnvScaler: Scaling Tool-Interactive Environments for LLM Agent via Programmatic Synthesis.

ABot-AgentOS: A General Robotic Agent OS with Lifelong Multi-modal Memory EnvScaler: Scaling Tool-Interactive Environments for LLM Agent via Programmatic Synthesis

Reference 69

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source=pdf_text observed=2026-08-02T07:21:31.180517Z digest=sha256:32f461e79c88b01c8440d647487ec346f6319f7f33f24e6e0d8270001ff0acd9

Observation 430f2750-def6-4346-9426-7e3ad3b27f6b · outbound

This paper cites TongSIM: A general platform for simulating intelligent machines.arXiv preprint arXiv:2512.20206, 2025.

ABot-AgentOS: A General Robotic Agent OS with Lifelong Multi-modal Memory TongSIM: A general platform for simulating intelligent machines.arXiv preprint arXiv:2512.20206, 2025

Reference 70

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source=pdf_text observed=2026-08-02T07:21:31.353755Z digest=sha256:f08502542c921dd2e59e4c4c481adc1ec69a3cfc004be38d336c81cdb96bc166

Observation 275781c7-e1be-445d-8f89-fd43418dc941 · outbound

This paper cites RoboBrain 2.0 Technical Report.

ABot-AgentOS: A General Robotic Agent OS with Lifelong Multi-modal Memory RoboBrain 2.0 Technical Report

Reference 72

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source=pdf_text observed=2026-08-02T07:21:31.686911Z digest=sha256:746fa62917779ffd7b976f1e265b3d45140fdaa1a0bac2b009196f32c7580493

Observation c78b6729-6095-452e-8479-156d13b121e4 · outbound

This paper cites Gemini Robotics 1.5: Pushing the Frontier of Generalist Robots with Advanced Embodied Reasoning, Thinking, and Motion Transfer.

ABot-AgentOS: A General Robotic Agent OS with Lifelong Multi-modal Memory Gemini Robotics 1.5: Pushing the Frontier of Generalist Robots with Advanced Embodied Reasoning, Thinking, and Motion Transfer

Reference 73

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source=pdf_text observed=2026-08-02T07:21:31.851727Z digest=sha256:4280c9c38667b868b6524a5a0bc41beb24b5ff4e8a28bdddd1cda629980368d7

Observation 185fff81-1574-49c9-a23c-bd45740627e0 · outbound

This paper cites Qwen3.5-Omni Technical Report.

ABot-AgentOS: A General Robotic Agent OS with Lifelong Multi-modal Memory Qwen3.5-Omni Technical Report

Reference 74

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source=pdf_text observed=2026-08-02T07:21:31.968300Z digest=sha256:c6b5569fb38304ddd021f169bc856df6b845e0eac522422ecda3a503da4c3154

Observation 4346d260-f493-4ff4-9882-7a50bdd62d5f · outbound

This paper cites Outcome accuracy is not enough: Aligning the reasoning process of reward models.

ABot-AgentOS: A General Robotic Agent OS with Lifelong Multi-modal Memory Outcome accuracy is not enough: Aligning the reasoning process of reward models

Reference 75

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source=pdf_text observed=2026-08-02T07:21:32.089608Z digest=sha256:fdf7f7ea8527fa0d97e3fcc8a2ea6e29e74f27f904d8590f874c6f3cce2e8824

Observation 6bf5bb54-11bc-4c4c-9f98-e2d364db3c01 · outbound

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

ABot-AgentOS: A General Robotic Agent OS with Lifelong Multi-modal Memory Voyager: An Open-Ended Embodied Agent with Large Language Models

Reference 76

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source=pdf_text observed=2026-08-02T07:21:32.260434Z digest=sha256:4e0ce63a9907000a1896354310c50a40bbb205ffb12807afa34ec259ab9c8b89

Observation 77df0a82-34bb-4c3d-b7f5-0f49ea4b1f14 · outbound

This paper cites Genie: A generalizable navigation system for in-the-wild environments.IEEE Robotics and Automation Letters, 2025.

ABot-AgentOS: A General Robotic Agent OS with Lifelong Multi-modal Memory Genie: A generalizable navigation system for in-the-wild environments.IEEE Robotics and Automation Letters, 2025

Reference 77

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source=pdf_text observed=2026-08-02T07:21:32.388881Z digest=sha256:a406e9ab20731fe86e3967cec1f270876665b111cef2941b2c181d034f97dfc8

Observation d8f84b94-b0f6-4d5e-929c-9bf243f19664 · outbound

This paper cites ODYSSEY: Open-World Quadrupeds Exploration and Manipulation for Long-Horizon Tasks.

ABot-AgentOS: A General Robotic Agent OS with Lifelong Multi-modal Memory ODYSSEY: Open-World Quadrupeds Exploration and Manipulation for Long-Horizon Tasks

Reference 78

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source=pdf_text observed=2026-08-02T07:21:32.413290Z digest=sha256:ad70fafa0cc06d14480c08c437149d7f1061fc95c95cb067a0fece5cfa8caba1

Observation ab0e695a-a4a4-444a-a26d-3d23e63848d7 · outbound

This paper cites InternVideo: General Video Foundation Models via Generative and Discriminative Learning.

ABot-AgentOS: A General Robotic Agent OS with Lifelong Multi-modal Memory InternVideo: General Video Foundation Models via Generative and Discriminative Learning

Reference 79

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source=pdf_text observed=2026-08-02T07:21:32.526822Z digest=sha256:019fbd8f224389d222681a2f8956737ada6d64a798c63dd620feccf50308b8b3

Observation 4f621dae-7032-4da8-b946-fa806174ddbf · outbound

This paper cites RAGEN: Understanding Self-Evolution in LLM Agents via Multi-Turn Reinforcement Learning.

ABot-AgentOS: A General Robotic Agent OS with Lifelong Multi-modal Memory RAGEN: Understanding Self-Evolution in LLM Agents via Multi-Turn Reinforcement Learning

Reference 81

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source=pdf_text observed=2026-08-02T07:21:32.935264Z digest=sha256:fab754d79734ddce216aae634e90bebb6cc7a3ad87a2752afc338be25fc1b750

Observation 17690fc4-4b45-430a-9c26-e278512c965a · outbound

This paper cites Reinforcing multi-turn reasoning in llm agents via turn-level reward design.

ABot-AgentOS: A General Robotic Agent OS with Lifelong Multi-modal Memory Reinforcing multi-turn reasoning in llm agents via turn-level reward design

Reference 82

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source=pdf_text observed=2026-08-02T07:21:33.061292Z digest=sha256:e76004c62d1ea79e72eeecfe05c6b0f1a05c1963683da8fc168f0c5479035976

Observation 5fb71451-e324-4a06-aa00-80c198d4a3ea · outbound

This paper cites Evo-Memory: Benchmarking LLM Agent Test-time Learning with Self-Evolving Memory.

ABot-AgentOS: A General Robotic Agent OS with Lifelong Multi-modal Memory Evo-Memory: Benchmarking LLM Agent Test-time Learning with Self-Evolving Memory

Reference 83

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source=pdf_text observed=2026-08-02T07:21:33.187454Z digest=sha256:c07b4b37168224076692bb9e8d05c469afb90f56b51a8c88ccb51d780165389c

Observation 98115443-aedd-41fc-b911-0968828994a9 · outbound

This paper cites Webagent-r1: Training web agents via end-to-end multi-turn reinforcement learning.

ABot-AgentOS: A General Robotic Agent OS with Lifelong Multi-modal Memory Webagent-r1: Training web agents via end-to-end multi-turn reinforcement learning

Reference 84

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source=pdf_text observed=2026-08-02T07:21:33.287576Z digest=sha256:7d1b22224f8bc3b0f03f3d6f36cc2440e67ac15ac686ba408d6e0ed967605607

Observation 79e2e88c-fd90-4a15-9fa5-76f54bca51de · outbound

This paper cites LongMemEval: Benchmarking Chat Assistants on Long-Term Interactive Memory.

ABot-AgentOS: A General Robotic Agent OS with Lifelong Multi-modal Memory LongMemEval: Benchmarking Chat Assistants on Long-Term Interactive Memory

Reference 85

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source=pdf_text observed=2026-08-02T07:21:33.389429Z digest=sha256:8ca2b06f122960fa6a64dd34a9ca43ce3121dd9074144a2d58266ac0f25f1142

Observation a737cbf5-950b-4a95-af14-fd1d07d358f2 · outbound

This paper cites AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation.

ABot-AgentOS: A General Robotic Agent OS with Lifelong Multi-modal Memory AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation

Reference 86

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source=pdf_text observed=2026-08-02T07:21:33.508755Z digest=sha256:315e580c1383e05de385001f90dd689e3edb927b532350176a5d069df245c87a

Observation a39d3d96-8850-4180-941a-0c2b1f8f2052 · outbound

This paper cites Nav-r2 dual-relation reasoning for generalizable open-vocabulary object-goal navigation, 2025.

ABot-AgentOS: A General Robotic Agent OS with Lifelong Multi-modal Memory Nav-r2 dual-relation reasoning for generalizable open-vocabulary object-goal navigation, 2025

Reference 87

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source=pdf_text observed=2026-08-02T07:21:33.614812Z digest=sha256:5395ae78847fa50411922f84102de27ec7765edb68992e16f674229d439d06d1

Observation 5682535a-96b1-4598-a61f-e93ea30b6764 · outbound

This paper cites Next-qa: Next phase of question-answering to explaining temporal actions.

ABot-AgentOS: A General Robotic Agent OS with Lifelong Multi-modal Memory Next-qa: Next phase of question-answering to explaining temporal actions

Reference 88

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source=pdf_text observed=2026-08-02T07:21:33.727528Z digest=sha256:c10972f576fbf3a89b2dc2334c5682ba0deff6d419b6a91ffe67ab99cffead0f

Observation 279141e5-b159-42ae-8e85-b35aa6a7f958 · outbound

This paper cites Contrastive video question answering via video graph transformer.IEEE Transactions on Pattern Analysis and Machine Intelligence, 45(11):13265–13280, 2023.

ABot-AgentOS: A General Robotic Agent OS with Lifelong Multi-modal Memory Contrastive video question answering via video graph transformer.IEEE Transactions on Pattern Analysis and Machine Intelligence, 45(11):13265–13280, 2023

Reference 89

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source=pdf_text observed=2026-08-02T07:21:33.824944Z digest=sha256:4b8275a108bc73d32513dbff29580d993c6ab957a51bd4cf80c7cfa28f57fd2a

Observation 06c6cd6a-4acd-4d2a-bef1-4982573ff4cb · outbound

This paper cites OSWorld: Benchmarking Multimodal Agents for Open-Ended Tasks in Real Computer Environments.

ABot-AgentOS: A General Robotic Agent OS with Lifelong Multi-modal Memory OSWorld: Benchmarking Multimodal Agents for Open-Ended Tasks in Real Computer Environments

Reference 90

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source=pdf_text observed=2026-08-02T07:21:33.867984Z digest=sha256:16043c075ea90f507267f389d27ff897a1c66e8d16642ed17df48cb7eadb43aa

Observation 005aa9e8-a752-461f-b7dd-9c4abd8fc1a9 · outbound

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

ABot-AgentOS: A General Robotic Agent OS with Lifelong Multi-modal Memory A-MEM: Agentic Memory for LLM Agents

Reference 92

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source=pdf_text observed=2026-08-02T07:21:34.058399Z digest=sha256:bcd916a8ba074bc7bc14f759327b5a28cb5612e6ca4fc37ac07109f0aa8c779e

Observation 33a9a8f0-a60b-4b74-984c-22dc93eb3b3f · outbound

This paper cites Omninav: A unified framework for prospective exploration and visual-language navigation,.

ABot-AgentOS: A General Robotic Agent OS with Lifelong Multi-modal Memory Omninav: A unified framework for prospective exploration and visual-language navigation,

Reference 93

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source=pdf_text observed=2026-08-02T07:21:34.213346Z digest=sha256:cbbf94afe9678f7af8e651b31f48af7ab3b9196faf2d68393e8f37e7c461decd

Observation fa961f1f-69e7-430a-8aa8-3363aff6360c · outbound

This paper cites Just ask: Learning to answer questions from millions of narrated videos.

ABot-AgentOS: A General Robotic Agent OS with Lifelong Multi-modal Memory Just ask: Learning to answer questions from millions of narrated videos

Reference 94

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source=pdf_text observed=2026-08-02T07:21:34.434002Z digest=sha256:5a98334e46f848ad776898bdbe1b3e3c68de02dec61cb6c6d98faae25a5e689c

Observation 4f7fb39a-dc48-4a28-afa6-d947b7258a7a · outbound

This paper cites an unresolved cited work.

ABot-AgentOS: A General Robotic Agent OS with Lifelong Multi-modal Memory Unresolved cited work

Reference 95

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source=pdf_text observed=2026-08-02T07:21:33.995677Z digest=sha256:c0ad3088fa363bd4e3b44fd68f66a5771d89303e9f70696809e72390d5270049

Observation e6f09db4-af89-4fc5-852d-18bc296e4ad1 · outbound

This paper cites Egolife: Towards egocentric life assistant.

ABot-AgentOS: A General Robotic Agent OS with Lifelong Multi-modal Memory Egolife: Towards egocentric life assistant

Reference 96

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source=pdf_text observed=2026-08-02T07:21:34.533381Z digest=sha256:0a63ee1963823e768a5da4735087f995c75076687c813c6f2d65705daf40596f

Observation 2edcf940-cb4b-4cfd-99df-e019d3fc03fc · outbound

This paper cites SWE-agent: Agent-Computer Interfaces Enable Automated Software Engineering.

ABot-AgentOS: A General Robotic Agent OS with Lifelong Multi-modal Memory SWE-agent: Agent-Computer Interfaces Enable Automated Software Engineering

Reference 97

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source=pdf_text observed=2026-08-02T07:21:34.640260Z digest=sha256:224134a3d1f6070f17990daa0b1b4e3a746c6e001b2d182af0aadf0977329554

Observation 1675beca-790e-4d99-be57-41ed23347a02 · outbound

This paper cites an unresolved cited work.

ABot-AgentOS: A General Robotic Agent OS with Lifelong Multi-modal Memory Unresolved cited work

Reference 98

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source=pdf_text observed=2026-08-02T07:21:34.302761Z digest=sha256:95f80c957e1314ce06eadf1ccf9556d389a7936bfc6dfc38bc4feeccc3267232

Observation cdcf5a73-c4bf-4269-8708-a4cd97c65f78 · outbound

This paper cites AsyncShield: A Plug-and-Play Edge Adapter for Asynchronous Cloud-based VLA Navigation.

ABot-AgentOS: A General Robotic Agent OS with Lifelong Multi-modal Memory AsyncShield: A Plug-and-Play Edge Adapter for Asynchronous Cloud-based VLA Navigation

Reference 99

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source=pdf_text observed=2026-08-02T07:21:34.913182Z digest=sha256:962a916f1885f34a1df12be9a4cb41b433c25cc7de123b02c11f6cd1cf70f4ac

Observation 013d8367-3b04-4b13-846a-6b97177eb0ad · outbound

This paper cites Le, Denny Zhou, and Xinyun Chen.

ABot-AgentOS: A General Robotic Agent OS with Lifelong Multi-modal Memory Le, Denny Zhou, and Xinyun Chen

Reference 100

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source=pdf_text observed=2026-08-02T07:21:34.453738Z digest=sha256:dd8b7cf6a5a3377e97c0179e49a78b9ec147569ef7b508444679e7e4af86dc2d

Observation ffb11fe4-a546-41ff-9a8f-e91729b13189 · outbound

This paper cites ABot-M0: VLA Foundation Model for Robotic Manipulation with Action Manifold Learning.

ABot-AgentOS: A General Robotic Agent OS with Lifelong Multi-modal Memory ABot-M0: VLA Foundation Model for Robotic Manipulation with Action Manifold Learning

Reference 101

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source=pdf_text observed=2026-08-02T07:21:35.182436Z digest=sha256:44a9049834caf53d6b88bc9bae7d50c9179467aa70763cac51f8659b4709471c

Observation 28a6541c-8f97-4713-9c25-959af4725267 · outbound

This paper cites 3D-Mem: 3D Scene Memory for Embodied Exploration and Reasoning.

ABot-AgentOS: A General Robotic Agent OS with Lifelong Multi-modal Memory 3D-Mem: 3D Scene Memory for Embodied Exploration and Reasoning

Reference 102

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source=pdf_text observed=2026-08-02T07:21:35.191254Z digest=sha256:6d9ca5b28f138f9ddf0b15745dd12610506038f3f2a7780886ea4cb08bd32d40

Observation 7a766f37-c9ea-4089-a795-fe6a0e74bfc3 · outbound

This paper cites Ce-nav: Flow-guided reinforcement refinement for cross-embodiment local navigation, 2025.

ABot-AgentOS: A General Robotic Agent OS with Lifelong Multi-modal Memory Ce-nav: Flow-guided reinforcement refinement for cross-embodiment local navigation, 2025

Reference 103

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source=pdf_text observed=2026-08-02T07:21:34.769586Z digest=sha256:4257b9cdd145e650eb92f4843451a6f3189f8f2cb7df93b5d4876bebb4c8f02a

Observation 0cb81c34-706e-469b-a40f-2853655215b5 · outbound

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

ABot-AgentOS: A General Robotic Agent OS with Lifelong Multi-modal Memory ReAct: Synergizing Reasoning and Acting in Language Models

Reference 104

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source=pdf_text observed=2026-08-02T07:21:35.372844Z digest=sha256:b252f2b8dda7b759af11d9cfc707cad4b7acb9eb55008fe786e91965208652e2

Observation 8e922246-0a77-497f-8128-b5740718dd89 · outbound

This paper cites EmbodiedBench: Comprehensive Benchmarking Multi-modal Large Language Models for Vision-Driven Embodied Agents.

ABot-AgentOS: A General Robotic Agent OS with Lifelong Multi-modal Memory EmbodiedBench: Comprehensive Benchmarking Multi-modal Large Language Models for Vision-Driven Embodied Agents

Reference 105

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source=pdf_text observed=2026-08-02T07:21:35.065643Z digest=sha256:cbe36252987841510b36276ee879d680dfebaa31643950abd9e3c0df6f24f4a0

Pith citing papers

No inbound Pith citation observations are available.