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Paper Citation Record · LEDGER

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

As of 20 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 2026-08-20T06:33:59.587034+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

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
  • unresolved100
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  • malformed identifier0
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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=sha256:20e716f9505339be91c137a095908ec727aba6e2141de89a85e7d30c5c7fd376

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=sha256:794681a5ef51203e151f8ff619b25439ec1c1f09fd77cb92ec8cc5ebf8bfafca

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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source=pdf_text observed=2026-08-02T07:21:23.883675Z digest=sha256:ce28d78e2d901295afd91f720f4ceb45cf588a739446a8793e4f42adef416eb8

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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source=pdf_text observed=2026-08-02T07:21:23.994812Z digest=sha256:532453d2d5a4e1511592581ee2d3ecf6c9c673b33e2135ba98c859cf77fef206

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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source=pdf_text observed=2026-08-02T07:21:24.087355Z digest=sha256:57642e895acdd9f6719f7da77f7f7f1edfd09aaa7deed47a2b9e917726109a1d

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=sha256:2868d085269bacd2da2a618c5d76c77d8d89c5055f35e2031cb90669fe68b4c8

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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source=pdf_text observed=2026-08-02T07:21:24.427332Z digest=sha256:d3db90a9b36c2288feee743e2f7f764dbf1df6f31e1ec24cd86444d663998ff5

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=sha256:14f4ed4f36e0404364ebd8351b20d8cdad1070295d58cb86149af8a4dadc319c

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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source=pdf_text observed=2026-08-02T07:21:24.829515Z digest=sha256:5bdc2553af6e8e5889aabad8fa83051f7c905d3a992e8334e091b4ecaa1b20ba

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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source=pdf_text observed=2026-08-02T07:21:25.596904Z digest=sha256:8f2b323b37c4dd6b2cc7f53ecaeabbe4f0a5935fa21feca23924ee8a52be59a6

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=sha256:6e2144dec8ddfa789f8dec979207ec05dad43c4a75237fe4f88c96b25a319a52

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=sha256:94a2a242b9a71383c68f5d23ace9464b659766b2f0d367f3a9b74ceb5049cd3f

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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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=sha256:2074a432a6b05ab1dbd96958abc3f9aeb543308c4490a84cec0b9bcfc01f2de2

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:c751b873e40faf86015c02679a2ec50d93162b2970ed38d1b2eb4f51167d2ac9

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=sha256:47a60bc1c401fde6d106b93ee08077d23a3e159e3a8e6c905217f1ebff8365c5

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=sha256:8baff080caa391c11f466406dc36c0ab6abf9d64e3394e22e3026d97b7965537

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:e58a23251bc57b1c373b27a0e93580e31ec38510fb986ebaab9ae4dfeee3fac5

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:a8a86cf565dbb7ab6f557e84b5cc34199a0f312e747d7d74374e8c1a3d1d0a24

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=sha256:78bd8bde696dcfc166ead0b045e169259b1d7e52004e086c12f1e77676432abd

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:e1337a1e7019124c739394215f80285b4773aea51ccc15abd15a8e4e7b9c6a9c

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=sha256:61e39ff43f3b7eb4320e34b583ae45d717456409ddb6de9380c79e1b2c151138

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:b9323b24a0b4d2a65e87970b5766f79a6a617508a8b074f9d897db83c26c5616

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:a08b16b7249ee30addc6ba4e8a0af8c541c23921c7b20eac7deef00460c89cde

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=sha256:034cc1be259156174c62aa38b5fbf2e490bb7f5cafc6834c130051a8b4ec941d

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:e65aafa99b993debf3523bce771c304c623b40f551be81110e82354bcfd79155

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=sha256:213426fb8b8a1740eaadf01f55f8fc9c2fb5f4c9b64a9b92faefc0a4da9859c0

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:e00ba23daddf6a368d8f5af93ead0f3e1cd1e9f4b8b793775cde71de69d4d807

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=sha256:4e2389f29e23a1cf5bbd2c6a3a00dedbd118ffaa6e85de8d041be3c9c67856b9

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:a50896210ec526a930bfc8d5c51be4e58596615ed2816799ab6dce4d0d2e45d3

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:f236671fb447e2e917ba79b6aa1f2196ff596d9e786a79be9d7d3d3a6941e43e

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=sha256:96f920e60fdb184089f7e3c1527a6dd65be7aaa3e9a1c3a816bf287110c96ebf

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=sha256:11a2f0627254e3b48923fc52da374a944367c9ec94fb93e0fc2ae4e16e6699e5

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:f5541284229672a9e32a4390e01466bdf8926221d39335e13d58a6dab81f9959

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=sha256:8fe331b8986340e27d61a6c63c6c2e13240a5b28c4a609e24e33c66109b65757

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=sha256:84361319e3155d36edd73c3415ca84f98c67c51ab050bfbcba1e5e31f072bc1c

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:b09bdcf090d1d486e6a81fc2ef2f3c8d6af7c40244a9d8b6e4a62e76e6eba7b7

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:c6a659431c1f5c34f21a52c5740fc5a4edb3e6477d4aefa3ba097f5ae207fcbe

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=sha256:493aaf759f4b6fed9e30e471347f4d1a225b1c1a3c52c863c6fe43d2a1887396

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=sha256:2f6933ffe4e10d6ea818956dd2307ba6c379dee9d9b435886cdd31aa3590cd4c

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:db3a5ca3298a44c68f67c7fd8be8f7eccd429e01cd3f0b8f5484009dd9773ddf

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=sha256:740fbb8e17b76e5ab7b323d32e3ce8c3ff5c3517e46bc449f2002f72188312af

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:b66597c37b6a3cd9a66aee24e694ee52909413fd36e09884aed373853aa26666

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=sha256:24ef646a92dd66298d646fd366cf2f94b01162c8a8154799da8a961a77437da2

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:b4f12376b68ccbfb1eee72abb8ab4cc17c004c2393d6795c5820d33e06eb31d2

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:a78eb43307215ecdde28eda482debb940ab2ea357e404d6f28eb2dee34c4f42c

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=sha256:9dfa98ef18272e26b114ef2e21f5d068dd3bda69a7226725360da162db6ed2e9

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=sha256:3a822956f444bb19e96bab4ba6fb898711d0e6e03fa040d9ad0c2fba169a1d50

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=sha256:0a4c2a75c87e6daa5faaa716f895c62cf79b311d34d87998333add4d57e822a2

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=sha256:968c029c039da2453b653c53587bba6fd7cabc2582f51b28a6c7e089c0701c96

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:e14c076797441aead668d0b4d2232a35f7532fc35c54e5f102f756ed31d02aa6

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=sha256:346a8ee4aa0188677533f504742d79797e0e55ab8f2e98d3efaf819cd3d6098c

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=sha256:2a6e1a37fbc4b89efbdd5bf60ba0344793a8969e3780864bde0c3c8292466536

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=sha256:1b0fb04d3f04d020b44de388f27c543809694f1cd6c6fc5955cb09457cd99ce1

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=sha256:0129988b2dd5a906e116df93543b93f66d05b9d9eafae05fd91975fd34eea0be

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=sha256:30171d0e59f1061787d44fad55a9a2150e5dc6df522c4b8863afda1ff55a9409

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:d8601a2d9872ac9432b8fc04e7b8e69d72c34b1991f8418845b95fcaa703630b

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=sha256:8d9d97d011c6de9801a9ba674fe5e05373a06f792d86df913d00afaa0bfb6901

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=sha256:0c91805fcef0ed6e22a9f2541c1e284c004be4e64e1ded25cd5292d2746518c6

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=sha256:1a7e94d321bf63c465dc77f836225920cd16f4d60e79fa0dff731d6323f3f215

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=sha256:874c0d988691e1dba18f336ba8c2303f5ef61a6668da7d5dc9dc27044bf2447e

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:ffab142157125a0674a144621e84bdd02e2c57bed754e573240e57ce8d8adc7e

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=sha256:463bd87fb4c1fedde74aaf0c67295ba61a0bbce301e025be2467f19798d65e8e

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:ccc397759be6356cacc0e30e3b442cd70e4b4e6842862d6c2556ee2151ca9ced

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:f28a7e38751b9d233ff00398069fef98c9a2d544937ea6e394ceecc4fde562ac

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=sha256:47a4d94e37388423ee12db6b4358e31160f0778243e9a05293887e6d81e7d105

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=sha256:10857e011c2fab770ced280c47d6f9e604263b5d24e1ccd1fc6f44f20f8f7d42

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:bde520835831c016c6bc146350fad0d882546e6405d400c333496cad84b47096

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:efb60fe49524bab97f15b6a4ed4fc0628f8eb8476a186f08f1b9513ea5861148

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:c89209d873d359bd673efbdcda68c2bcb0e52e15a42df8a650f08fed55fa3a7a

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=sha256:2d10c5f3afc3aca817b7d325ab6d3e25c1702988c6d76b312ca89c074923aea6

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=sha256:7d781bc402414fa9a4196723d58ece67bb5219c5a6744870e5d41e101c61125d

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=sha256:5c0b2c380a53f766fe66093756cf97d0c2616579923065edfc553ec9c7b97ae4

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=sha256:177c8f2913aefcf942c03a2d6196f29280e3d76c149c471953a35edf3831443c

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=sha256:795ac8c283bddc4799138ab56ad9d95e0d73e44c497a5f7f6706d36c1e01a8f6

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:ddf38fee8c9f93b93a4ef9d8c2b92939e1163540cbc45f99ccabaf7bb5fb1f90

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=sha256:1ad6cb5535fbd8d86e2c30967444d96e95a11f6460b6174d9ba5711a9a56eee9

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=sha256:4848c2910adcb175df95c1a807df2a4f5e71150c348b8376eb667fa7a0196650

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=sha256:1dbbcf2081030d13e4b3d3c94b1acd0f6e9de094b2c83be25c32dbaa0aef94da

Pith citing papers

No inbound Pith citation observations are available.