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Paper Citation Record · LEDGER

HALO: Hierarchical Autonomous Logic-Oriented Orchestration for Multi-Agent LLM Systems

As of 16 August 2026, this Paper Citation Record lists 56 of 56 outbound references and 9 inbound Pith citation observations for arXiv:2505.13516.

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

pith.paper-citation-record.v1
2505.13516 v1

Coverage vector

measured 56 of 56 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:51:13.786072Z

measured 65 of 65 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T20:43:53.530497Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T23:26:22.638429Z

Reference resolution

56 of 56 outbound references displayed

  • verified exact0
  • verified fuzzy25
  • unresolved31
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 08b9e282-66cf-47d6-89d1-9fcb22f8c7b8 · outbound

This paper cites Competitive Programming with Large Reasoning Models.

HALO: Hierarchical Autonomous Logic-Oriented Orchestration for Multi-Agent LLM Systems Competitive Programming with Large Reasoning Models

Reference 1

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T20:51:13.476131Z digest=sha256:fa7be0053ef697ecd3fa727ae5b33cef41cf9d5b398c3a6fb6ecabd532bca657

Observation 5b7c92ef-a5b6-4901-9cb4-b074165eb46c · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

HALO: Hierarchical Autonomous Logic-Oriented Orchestration for Multi-Agent LLM Systems DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 2

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source=pdf_text observed=2026-08-15T20:51:13.482205Z digest=sha256:f8df9a25d92ad87490f3115139a9c75f4bd056b09f57987a7706def2255d7319

Observation 21706877-7977-43a6-b65d-fe6386a271d3 · outbound

This paper cites Debug like a Human: A Large Language Model Debugger via Verifying Runtime Execution Step-by-step.

HALO: Hierarchical Autonomous Logic-Oriented Orchestration for Multi-Agent LLM Systems Debug like a Human: A Large Language Model Debugger via Verifying Runtime Execution Step-by-step

Reference 3

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source=pdf_text observed=2026-08-15T20:51:13.487778Z digest=sha256:af289d650a84668d0b32b848d4aaecb94ea68f4c85e792b8ccbf471516d94df3

Observation 9b942753-6d93-4f83-9d59-a7f68d62444c · outbound

This paper cites Reflexion: language agents with verbal reinforcement learning,.

HALO: Hierarchical Autonomous Logic-Oriented Orchestration for Multi-Agent LLM Systems Reflexion: language agents with verbal reinforcement learning,

Reference 4

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verified fuzzy
raw_fallback, observed 2026-08-15T20:51:15.021378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:51:13.493344Z digest=sha256:ac519d0c5f02eddac6003731aa6685597e5a9d2e972c6b6c8a7e90eb7587c481

Observation 6fa76509-20fc-406f-b033-d15fc5df4af6 · outbound

This paper cites Mobile-Agent-v2: Mobile Device Operation Assistant with Effective Navigation via Multi-Agent Collaboration.

HALO: Hierarchical Autonomous Logic-Oriented Orchestration for Multi-Agent LLM Systems Mobile-Agent-v2: Mobile Device Operation Assistant with Effective Navigation via Multi-Agent Collaboration

Reference 5

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source=pdf_text observed=2026-08-15T20:51:13.504153Z digest=sha256:36a49700bbeab248f57b1ad642f80008ab655f08744a8f8290e365324b26bfb9

Observation a5a3b1f4-da48-44a3-b7d8-9578f5f6bd7b · outbound

This paper cites Appagent v2: Advanced agent for flexible mobile interactions,.

HALO: Hierarchical Autonomous Logic-Oriented Orchestration for Multi-Agent LLM Systems Appagent v2: Advanced agent for flexible mobile interactions,

Reference 6

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source=pdf_text observed=2026-08-15T20:51:13.509380Z digest=sha256:61572fe5915d22fb0a6509e52a8b67aa5d100cbdc909f2ca795cc53967dfd017

Observation cb536fdd-e3fe-4bc4-b130-6d739b5537fd · outbound

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

HALO: Hierarchical Autonomous Logic-Oriented Orchestration for Multi-Agent LLM Systems Voyager: An Open-Ended Embodied Agent with Large Language Models

Reference 7

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source=pdf_text observed=2026-08-15T20:51:13.514425Z digest=sha256:6c76ec5140e34a072d564bac52c8fe7d6db2f96accd7d6928995d57c1ae6092b

Observation 8af4f7c1-b0df-4abc-add2-ae44790b2448 · outbound

This paper cites Ai-vqa: visual question answering based on agent interaction with interpretability,.

HALO: Hierarchical Autonomous Logic-Oriented Orchestration for Multi-Agent LLM Systems Ai-vqa: visual question answering based on agent interaction with interpretability,

Reference 8

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raw_fallback, observed 2026-08-15T20:51:14.985897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:51:13.520752Z digest=sha256:d173021a1fef88809fe55deaee5e962d144a540f3efde8de09660c0430d6bf18

Observation 4e325d30-fac3-4874-beab-d5ef4dd9b601 · outbound

This paper cites Chain-of-Table: Evolving Tables in the Reasoning Chain for Table Understanding.

HALO: Hierarchical Autonomous Logic-Oriented Orchestration for Multi-Agent LLM Systems Chain-of-Table: Evolving Tables in the Reasoning Chain for Table Understanding

Reference 9

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:51:13.525625Z digest=sha256:0f2f020f402f6389bb43d40adacbc193f46311770725cf33e30c874130dee4d9

Observation 7532d75b-7f2d-48d8-a7f7-f99f932ca0c9 · outbound

This paper cites Perceive, Reflect, and Plan: Designing LLM Agent for Goal-Directed City Navigation without Instructions.

HALO: Hierarchical Autonomous Logic-Oriented Orchestration for Multi-Agent LLM Systems Perceive, Reflect, and Plan: Designing LLM Agent for Goal-Directed City Navigation without Instructions

Reference 10

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source=pdf_text observed=2026-08-15T20:51:13.531876Z digest=sha256:3c38951cae3a79d01ee515067d858f1f718b5c8008b16f3ae585d127b11644db

Observation 6a006082-e99d-4160-ac3d-0e163ec3b702 · outbound

This paper cites React: Synergizing reasoning and acting in language models,.

HALO: Hierarchical Autonomous Logic-Oriented Orchestration for Multi-Agent LLM Systems React: Synergizing reasoning and acting in language models,

Reference 11

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source=pdf_text observed=2026-08-15T20:51:13.536905Z digest=sha256:78e6b206bc839716cf445888871b7e580138068ee7d319320772dbcfd60c0d62

Observation da2fee22-3d5b-4253-853b-8958f1edc226 · outbound

This paper cites Camel: Communicative agents for.

HALO: Hierarchical Autonomous Logic-Oriented Orchestration for Multi-Agent LLM Systems Camel: Communicative agents for

Reference 12

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source=pdf_text observed=2026-08-15T20:51:13.541608Z digest=sha256:1a24f511c24cc8cdaf26d73fe5ea6696bda8a7d24b22fefd5c6db0cb14d65c5d

Observation dbc0405e-744d-479e-981b-ca523b9f6253 · outbound

This paper cites A survey of monte carlo tree search methods,.

HALO: Hierarchical Autonomous Logic-Oriented Orchestration for Multi-Agent LLM Systems A survey of monte carlo tree search methods,

Reference 13

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raw_fallback, observed 2026-08-15T20:51:14.926881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:51:13.546915Z digest=sha256:88b3a0796b3afb0aa45b56e907df8853c464d166a2e90ac2102785a32313330f

Observation fb347fa0-760e-44db-b107-4814c9b4d686 · outbound

This paper cites Evaluating Large Language Models Trained on Code.

HALO: Hierarchical Autonomous Logic-Oriented Orchestration for Multi-Agent LLM Systems Evaluating Large Language Models Trained on Code

Reference 14

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source=pdf_text observed=2026-08-15T20:51:13.552250Z digest=sha256:10c96603d7616c93f570b87b9e54c724ba06b4a62afe18fe2cc739ccdb272dd2

Observation 59111b03-3a93-4de9-8047-e8f61491c357 · outbound

This paper cites Measuring Massive Multitask Language Understanding.

HALO: Hierarchical Autonomous Logic-Oriented Orchestration for Multi-Agent LLM Systems Measuring Massive Multitask Language Understanding

Reference 15

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source=pdf_text observed=2026-08-15T20:51:13.557393Z digest=sha256:a899ce09c18565ba0833ee61299d27b77675a4005fa173f92141a79a6d46d72b

Observation 35d673c7-3a34-4e85-8d64-338277b8008c · outbound

This paper cites Measuring Mathematical Problem Solving With the MATH Dataset.

HALO: Hierarchical Autonomous Logic-Oriented Orchestration for Multi-Agent LLM Systems Measuring Mathematical Problem Solving With the MATH Dataset

Reference 16

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source=pdf_text observed=2026-08-15T20:51:13.562535Z digest=sha256:50e2ce7521337a6cda8a6acd76c59154955dea7a6bf449be870d8cdd122b6751

Observation c19f1311-2df0-4057-84e5-e952a79b697f · outbound

This paper cites Promptor: A Conversational and Autonomous Prompt Generation Agent for Intelligent Text Entry Techniques.

HALO: Hierarchical Autonomous Logic-Oriented Orchestration for Multi-Agent LLM Systems Promptor: A Conversational and Autonomous Prompt Generation Agent for Intelligent Text Entry Techniques

Reference 17

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source=pdf_text observed=2026-08-15T20:51:13.567719Z digest=sha256:b5fa8bab016a5af4639fbd075401311802359dcb9e815f73d3a2ab7446af1464

Observation a3a7cbb5-3d00-4bdb-955f-f9b6ed38cfc2 · outbound

This paper cites Comfybench: Benchmarking llm-based agents in comfyui for autonomously designing collaborative ai systems,.

HALO: Hierarchical Autonomous Logic-Oriented Orchestration for Multi-Agent LLM Systems Comfybench: Benchmarking llm-based agents in comfyui for autonomously designing collaborative ai systems,

Reference 18

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source=pdf_text observed=2026-08-15T20:51:13.573671Z digest=sha256:5ef1c0e264bd1f70a49f138f2c74d3fd5c34b0a47c9f7b70ef5e38d2371167f4

Observation 154a2455-5dd0-419a-8a65-9bdc227a2a36 · outbound

This paper cites MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework.

HALO: Hierarchical Autonomous Logic-Oriented Orchestration for Multi-Agent LLM Systems MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework

Reference 19

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source=pdf_text observed=2026-08-15T20:51:13.578922Z digest=sha256:cc8e8a954828f9d10e32b4f4382a444d22ce903fe2a13173269021df3aa20a6a

Observation 63617927-aedc-4383-ab80-1dcd87761035 · outbound

This paper cites Tptu: Task planning and tool usage of large language model-based ai agents,.

HALO: Hierarchical Autonomous Logic-Oriented Orchestration for Multi-Agent LLM Systems Tptu: Task planning and tool usage of large language model-based ai agents,

Reference 20

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raw_fallback, observed 2026-08-15T20:51:14.907172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:51:13.584406Z digest=sha256:1bd72ec9f8f0ae051b9a6838cf8725b49c02376cae5d77145db05938e0748476

Observation 3d35ff68-20ea-4ba4-b9a7-41e42c11657c · outbound

This paper cites A dynamic llm-powered agent network for task-oriented agent collaboration,.

HALO: Hierarchical Autonomous Logic-Oriented Orchestration for Multi-Agent LLM Systems A dynamic llm-powered agent network for task-oriented agent collaboration,

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:51:13.589740Z digest=sha256:4162ac6245b11ca7bedb654f700e7b6f07ad0198a2e12e399a45e40cadc01b3e

Observation 2482d165-6c01-48fc-8a19-0fc06d252837 · outbound

This paper cites Agent Laboratory: Using LLM Agents as Research Assistants.

HALO: Hierarchical Autonomous Logic-Oriented Orchestration for Multi-Agent LLM Systems Agent Laboratory: Using LLM Agents as Research Assistants

Reference 22

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source=pdf_text observed=2026-08-15T20:51:13.595305Z digest=sha256:dfe2142387c94a80d32df8c912e89a0aa33cadc0a3909f604d1280c0354476cc

Observation c72814f9-1626-49eb-81e5-f5da80437d1b · outbound

This paper cites ScoreFlow: Mastering LLM Agent Workflows via Score-based Preference Optimization.

HALO: Hierarchical Autonomous Logic-Oriented Orchestration for Multi-Agent LLM Systems ScoreFlow: Mastering LLM Agent Workflows via Score-based Preference Optimization

Reference 23

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source=pdf_text observed=2026-08-15T20:51:13.601509Z digest=sha256:50f34e87c5981a9ed3d1d4fa32a94f1f0274da8612d16853fc6d81624047d2b9

Observation f7f1add9-3f1d-4131-9593-a96b432d93da · outbound

This paper cites WorkflowLLM: Enhancing Workflow Orchestration Capability of Large Language Models.

HALO: Hierarchical Autonomous Logic-Oriented Orchestration for Multi-Agent LLM Systems WorkflowLLM: Enhancing Workflow Orchestration Capability of Large Language Models

Reference 24

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source=pdf_text observed=2026-08-15T20:51:13.607275Z digest=sha256:784f97e5dcc96b6e06d4a47d49f1ed90b9068a790ad60bc8a48c26d03f1304cc

Observation 8f32d9e3-12b9-4519-b327-090cabcb7dbd · outbound

This paper cites Game-theoretic LLM: Agent Workflow for Negotiation Games.

HALO: Hierarchical Autonomous Logic-Oriented Orchestration for Multi-Agent LLM Systems Game-theoretic LLM: Agent Workflow for Negotiation Games

Reference 26

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source=pdf_text observed=2026-08-15T20:51:13.618531Z digest=sha256:b1b39098ef9c53c629053b2fbad689cda025655cc0911b6399bc3e5854ed7dda

Observation a324f233-4f5f-4159-a8ff-2bc3545b1ac0 · outbound

This paper cites AFlow: Automating Agentic Workflow Generation.

HALO: Hierarchical Autonomous Logic-Oriented Orchestration for Multi-Agent LLM Systems AFlow: Automating Agentic Workflow Generation

Reference 27

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no resolver link, observed 2026-08-15T20:51:13.624307Z

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source=pdf_text observed=2026-08-15T20:51:13.624307Z digest=sha256:c93762d08248c4c4aec53157f46a000e7676a3bcfcd57b8dca948fa08e5712ec

Observation f393c1e3-1ff8-48ab-b8da-f4175adf1c5b · outbound

This paper cites Fincon: A synthesized llm multi-agent system with conceptual verbal reinforcement for enhanced financial decision making,.

HALO: Hierarchical Autonomous Logic-Oriented Orchestration for Multi-Agent LLM Systems Fincon: A synthesized llm multi-agent system with conceptual verbal reinforcement for enhanced financial decision making,

Reference 28

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raw_fallback, observed 2026-08-15T20:51:14.862758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:51:13.629754Z digest=sha256:89d9c34ffff2703ac77f118bcca2d3a01b4272491f6caee4a647189a5338e7f2

Observation 0a82e657-c087-457a-b50a-8213dfe69f78 · outbound

This paper cites Multi-agent reinforcement learning: An overview,.

HALO: Hierarchical Autonomous Logic-Oriented Orchestration for Multi-Agent LLM Systems Multi-agent reinforcement learning: An overview,

Reference 29

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raw_fallback, observed 2026-08-15T20:51:14.833568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:51:13.634991Z digest=sha256:405c0fb6226b20068e7718217cc64ee4e485eee7054dccca6914b6afaa5d9b45

Observation a1631b6a-a84e-4f5f-a448-436af9188e2e · outbound

This paper cites Reinforcement learning-based multi-agent system for network traffic signal control,.

HALO: Hierarchical Autonomous Logic-Oriented Orchestration for Multi-Agent LLM Systems Reinforcement learning-based multi-agent system for network traffic signal control,

Reference 30

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raw_fallback, observed 2026-08-15T20:51:14.809998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:51:13.640113Z digest=sha256:6dbb09316a63e20cfd30cc8c444dc07f6731269b426baf63b161309b04465974

Observation d3afe5fc-50d8-447b-9a33-7260949c03ce · outbound

This paper cites Multi-agent reinforcement learning: A selective overview of theories and algorithms,.

HALO: Hierarchical Autonomous Logic-Oriented Orchestration for Multi-Agent LLM Systems Multi-agent reinforcement learning: A selective overview of theories and algorithms,

Reference 31

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verified fuzzy
raw_fallback, observed 2026-08-15T20:51:14.791133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:51:13.645784Z digest=sha256:a602b764b5a0ddb584660241072fc75892a5559d20f4a58e37454f6c42ee1278

Observation 3b9edd26-828a-4ffc-a44a-87d5a4367aa8 · outbound

This paper cites Reinforcement learning of coordination in heterogeneous cooperative multi-agent systems,.

HALO: Hierarchical Autonomous Logic-Oriented Orchestration for Multi-Agent LLM Systems Reinforcement learning of coordination in heterogeneous cooperative multi-agent systems,

Reference 32

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raw_fallback, observed 2026-08-15T20:51:14.771164Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:51:13.651641Z digest=sha256:f0096c0aa127f34b9d6a55ba0ac619a8cbb7a88bf532bf0d97b1da8caa5c03e0

Observation c0651db7-93d6-416e-95a2-da082e53c4a7 · outbound

This paper cites AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent Behaviors.

HALO: Hierarchical Autonomous Logic-Oriented Orchestration for Multi-Agent LLM Systems AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent Behaviors

Reference 33

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:51:13.656881Z digest=sha256:562acea6a271bcc7190354eec74a1818b9ee3412d6fe87c2fe64c2c656d265b7

Observation ec281592-55c2-461e-be8a-54d64f5b30d8 · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large language models,.

HALO: Hierarchical Autonomous Logic-Oriented Orchestration for Multi-Agent LLM Systems Chain-of-thought prompting elicits reasoning in large language models,

Reference 34

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source=pdf_text observed=2026-08-15T20:51:13.662806Z digest=sha256:5a97539ab5eca09bbcab895c1a987482ef0ff7c7e9297ebecb41f24a8ac886f7

Observation cd2d7c43-06ad-4fe0-b53c-abcbaaa6fb30 · outbound

This paper cites Self-Consistency Improves Chain of Thought Reasoning in Language Models.

HALO: Hierarchical Autonomous Logic-Oriented Orchestration for Multi-Agent LLM Systems Self-Consistency Improves Chain of Thought Reasoning in Language Models

Reference 35

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source=pdf_text observed=2026-08-15T20:51:13.668132Z digest=sha256:f16978b13f93c335b685804d281f2ef9eb7637c8f56415638a9ef8137c2a98a3

Observation 071d5caa-1cfb-4d72-9c1e-7f89a3457cbf · outbound

This paper cites Least-to-Most Prompting Enables Complex Reasoning in Large Language Models.

HALO: Hierarchical Autonomous Logic-Oriented Orchestration for Multi-Agent LLM Systems Least-to-Most Prompting Enables Complex Reasoning in Large Language Models

Reference 36

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no resolver link, observed 2026-08-15T20:51:13.673838Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:51:13.673838Z digest=sha256:00bc0239c61ba2ad5faa50ff048f55c1344711c10a286b9d9b523f715317b800

Observation 9740fffa-be76-4761-93d4-6dc12d851387 · outbound

This paper cites Tree of thoughts: Deliberate problem solving with large language models,.

HALO: Hierarchical Autonomous Logic-Oriented Orchestration for Multi-Agent LLM Systems Tree of thoughts: Deliberate problem solving with large language models,

Reference 37

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verified fuzzy
raw_fallback, observed 2026-08-15T20:51:14.722331Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:51:13.679963Z digest=sha256:744db7a17d0d12e80bf9aedf7fff0227d2dca9ea173c8eda9222a22b87e93373

Observation e64cb9f1-2cc7-4e22-8c53-965af86522fa · outbound

This paper cites Large language models are zero-shot reasoners,.

HALO: Hierarchical Autonomous Logic-Oriented Orchestration for Multi-Agent LLM Systems Large language models are zero-shot reasoners,

Reference 38

Resolution
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no resolver link, observed 2026-08-15T20:51:13.685550Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:51:13.685550Z digest=sha256:182a5efa610301003b243b568b11fa41033d068d4add8af7573a547aec7143ba

Observation a3f61fc2-65a9-486c-8ada-18be48e07bae · outbound

This paper cites Model Context Protocol (MCP): Landscape, Security Threats, and Future Research Directions.

HALO: Hierarchical Autonomous Logic-Oriented Orchestration for Multi-Agent LLM Systems Model Context Protocol (MCP): Landscape, Security Threats, and Future Research Directions

Reference 39

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no resolver link, observed 2026-08-15T20:51:13.690704Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:51:13.690704Z digest=sha256:29e9b26cb6a930a3d3144f828fd063be8313a1ba3b0040f86c99f4f7143b93bf

Observation e1c8a05c-dce1-4119-af8c-c5cdc8a06341 · outbound

This paper cites Practical byzantine fault tolerance,.

HALO: Hierarchical Autonomous Logic-Oriented Orchestration for Multi-Agent LLM Systems Practical byzantine fault tolerance,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:51:14.688898Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:51:13.695743Z digest=sha256:bffc34931e9e0178a3d733951f858e4a65cab38cf3d1eee2516e4020529d9173

Observation 1116ee13-490b-4065-93da-f8644e3cdf61 · outbound

This paper cites Bandit based monte-carlo planning,.

HALO: Hierarchical Autonomous Logic-Oriented Orchestration for Multi-Agent LLM Systems Bandit based monte-carlo planning,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:51:14.673625Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:51:13.700790Z digest=sha256:dae915bdfda5a9e488d0eb12adcbdcce4b1523dab5bc39d673ffa26215bfb89b

Observation 15ebe45a-7c7f-462f-90d6-c8d5114eca08 · outbound

This paper cites Coat: Chain-of-associated-thoughts framework for enhancing large language models reasoning,.

HALO: Hierarchical Autonomous Logic-Oriented Orchestration for Multi-Agent LLM Systems Coat: Chain-of-associated-thoughts framework for enhancing large language models reasoning,

Reference 42

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no resolver link, observed 2026-08-15T20:51:13.706500Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:51:13.706500Z digest=sha256:89a3cc7602800021767d3f7d77dec7adbaca7cb5a54e578d6e8ed422d487f97c

Observation bc7ae1c6-ed25-4c83-8306-6246c9e2947d · outbound

This paper cites Improving factuality and reasoning in language models through multiagent debate,.

HALO: Hierarchical Autonomous Logic-Oriented Orchestration for Multi-Agent LLM Systems Improving factuality and reasoning in language models through multiagent debate,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:51:14.648921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:51:13.712069Z digest=sha256:3bbc0433efb83ed06cb24c3ee696f0490e9d459c84a7ec6bc0d47942f9e9d0dd

Observation 59ea0065-dbe8-4b1c-a1ec-46a7cbcfb261 · outbound

This paper cites Advances and Challenges in Foundation Agents: From Brain-Inspired Intelligence to Evolutionary, Collaborative, and Safe Systems.

HALO: Hierarchical Autonomous Logic-Oriented Orchestration for Multi-Agent LLM Systems Advances and Challenges in Foundation Agents: From Brain-Inspired Intelligence to Evolutionary, Collaborative, and Safe Systems

Reference 44

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no resolver link, observed 2026-08-15T20:51:13.716984Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:51:13.716984Z digest=sha256:3352a74340281c6be5064bfd2cc76fc4906c31d15fd9104a22b365f900b1aa3e

Observation 8904ee58-7438-476a-8cc4-8fc3fd709e5f · outbound

This paper cites GPT-4 Technical Report.

HALO: Hierarchical Autonomous Logic-Oriented Orchestration for Multi-Agent LLM Systems GPT-4 Technical Report

Reference 45

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no resolver link, observed 2026-08-15T20:51:13.722564Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:51:13.722564Z digest=sha256:94539867230cd32fcc378700160d9415e2b510a1d08414c8d7b3e5f5643dfb8c

Observation c8219ca4-d9b0-4b00-80f0-fd9b06c1dc8e · outbound

This paper cites analyzetrends,.

HALO: Hierarchical Autonomous Logic-Oriented Orchestration for Multi-Agent LLM Systems analyzetrends,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:51:14.630861Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:51:13.728395Z digest=sha256:ef08c2f398893849063f349975c74a84a892a4fbd4e2626306a512152e04ad15

Observation bd0a0d48-03b5-463e-874b-7a595d5289b4 · outbound

This paper cites analyze trends,.

HALO: Hierarchical Autonomous Logic-Oriented Orchestration for Multi-Agent LLM Systems analyze trends,

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:51:14.614788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:51:13.734622Z digest=sha256:0a4f7987a7c3f300d76356962be81f97d52e80f5b61f495ea5591c5738374821

Observation 47e5da4e-b636-4d29-8de8-bdf3deef6e17 · outbound

This paper cites **Core Intent**: The main objective or purpose of the task as defined by the Task Parser Agent.3.

HALO: Hierarchical Autonomous Logic-Oriented Orchestration for Multi-Agent LLM Systems **Core Intent**: The main objective or purpose of the task as defined by the Task Parser Agent.3

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:51:14.598074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:51:13.740589Z digest=sha256:e0b6a4152dbec9ead688c82f061ae501c46d775bc44df4d3c794f055861ae3b5

Observation d7057e83-acac-4581-a3d2-d2fd72407b1f · outbound

This paper cites Task Type.

HALO: Hierarchical Autonomous Logic-Oriented Orchestration for Multi-Agent LLM Systems Task Type

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:51:14.581968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:51:13.746194Z digest=sha256:ec7aaec34ba94f81fbe63c0990933da4339158b9ce278125807b424c6e2b5150

Observation 7053b18d-d74d-4b08-94f4-aed5e2a5e6ff · outbound

This paper cites Task Type.

HALO: Hierarchical Autonomous Logic-Oriented Orchestration for Multi-Agent LLM Systems Task Type

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:51:14.564881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:51:13.752521Z digest=sha256:fef12ec47dca3eb0e7294bff0d7e99cae8a1e7c88d53db888ea29bebd5243922

Observation d53304fd-4329-46ae-9904-5babd2c46064 · outbound

This paper cites Make the subtask as specific and actionable as possible.

HALO: Hierarchical Autonomous Logic-Oriented Orchestration for Multi-Agent LLM Systems Make the subtask as specific and actionable as possible

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:51:14.543502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:51:13.758403Z digest=sha256:8bfe190cd6f40c862ccf397b5f01111febaebbb4e4334001520811b775b6b4d6

Observation 177e4768-271e-4c4b-aab3-2d075d56008c · outbound

This paper cites next subtask.

HALO: Hierarchical Autonomous Logic-Oriented Orchestration for Multi-Agent LLM Systems next subtask

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:51:14.526919Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:51:13.764322Z digest=sha256:0427dcf21f146df9a7db0e489c0edb657681cc474f26a2530d3a2d7cc7ecb143

Observation 75ce49d2-5dca-4bc6-823f-664c6eba6176 · outbound

This paper cites an unresolved cited work.

HALO: Hierarchical Autonomous Logic-Oriented Orchestration for Multi-Agent LLM Systems Unresolved cited work

Reference 54

Resolution
unresolved
raw_fallback, observed 2026-08-15T20:51:14.511915Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:51:13.769850Z digest=sha256:d7d7a3b0a819ecf4d13fbca8d86f5cf83e6ae906af70c6ac12abc6e2b344887a

Observation b1bf2979-319a-4c0f-ab84-00040390c8b3 · outbound

This paper cites success"**. 3. If the subtask cannot be completed based on this output (e.g., wrong method or errors), return **.

HALO: Hierarchical Autonomous Logic-Oriented Orchestration for Multi-Agent LLM Systems success"**. 3. If the subtask cannot be completed based on this output (e.g., wrong method or errors), return **

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:51:14.496306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:51:13.775337Z digest=sha256:94add16255130a9991d7165db11a2f77f47686ce0ef6927646f07db9e3074b83

Observation 2aa199c7-3ba9-42bd-8b09-a94deb351da0 · outbound

This paper cites Remove duplicate entriesfrom the sales dataset.

HALO: Hierarchical Autonomous Logic-Oriented Orchestration for Multi-Agent LLM Systems Remove duplicate entriesfrom the sales dataset

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:51:14.480102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:51:13.780696Z digest=sha256:631df83bba2c46a3e74851ac7e4897fe7d8d139c111ad329a6f2fcbbb81eaa14

Observation 76d5a64e-abc6-465f-b7c4-6111f23fa8e6 · outbound

This paper cites Removeduplicate entries from the sales dataset.

HALO: Hierarchical Autonomous Logic-Oriented Orchestration for Multi-Agent LLM Systems Removeduplicate entries from the sales dataset

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:51:14.462501Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:51:13.786072Z digest=sha256:2d613adf91cdae1f68e79d3e4e73bc02af6ee2458e91ac1e39f028cc2f624b1b

Observation 12b9f5d6-8325-4ad5-a7f0-5fe6f63a8d52 · outbound

This paper cites Available: https://openreview.net/forum?id=vAElhFcKW6.

HALO: Hierarchical Autonomous Logic-Oriented Orchestration for Multi-Agent LLM Systems Available: https://openreview.net/forum?id=vAElhFcKW6

Reference 2023

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:51:15.004061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:51:13.499242Z digest=sha256:c3d0be96da0233b6aefa35992f550267868513433148acff9bdea30ce2a00587

Pith citing papers

Observation f85f959a-b68f-4b89-803a-5b83623e95ed · inbound

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

Multi-level Value Alignment in Agentic AI Systems: Survey and Perspectives HALO: Hierarchical Autonomous Logic-Oriented Orchestration for Multi-Agent LLM Systems

Reference 185

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no resolver link, observed 2026-08-07T04:46:04.699030Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:46:04.699030Z digest=sha256:3f427966a27bd2b51137dc9978a7d54706b4ebaebcab965d358692581bcfc09c

Observation d207046b-9406-455c-a654-9d8a0cf1687f · inbound

A Comprehensive Survey of Self-Evolving AI Agents: A New Paradigm Bridging Foundation Models and Lifelong Agentic Systems cites this paper.

A Comprehensive Survey of Self-Evolving AI Agents: A New Paradigm Bridging Foundation Models and Lifelong Agentic Systems HALO: Hierarchical Autonomous Logic-Oriented Orchestration for Multi-Agent LLM Systems

Reference 35

Resolution
verified exact
arxiv_id, observed 2026-05-15T23:21:42.434608Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-15T23:21:42.029285Z digest=sha256:1407b67b1e7d0d458eef0d84756cf666cd812bbdcc5dc38056e4211899314317

Observation b240930b-ce48-41c4-bf92-2ae5261a274e · inbound

The Vision Wormhole: Latent-Space Communication in Heterogeneous Multi-Agent Systems cites this paper.

The Vision Wormhole: Latent-Space Communication in Heterogeneous Multi-Agent Systems HALO: Hierarchical Autonomous Logic-Oriented Orchestration for Multi-Agent LLM Systems

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-02T22:58:07.038030Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T22:58:07.038030Z digest=sha256:9d509f0acf5fbfa9fcb9429be4bbdbf7401870fb684fb6c6f10314f8f50f05e7

Observation 3a8c2944-781f-4f76-b130-26f7b8399a14 · inbound

Autogenesis: A Self-Evolving Agent Protocol cites this paper.

Autogenesis: A Self-Evolving Agent Protocol HALO: Hierarchical Autonomous Logic-Oriented Orchestration for Multi-Agent LLM Systems

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-05-10T10:29:24.704496Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-10T10:27:34.143483Z digest=sha256:9a9cbe94d692b88885274959ebdd140aac2834e1b1c85811ac3a57f09aabfabc

Observation 43bd17fa-991b-4316-a979-a71157b51d1b · inbound

Autogenesis: A Self-Evolving Agent Protocol cites this paper.

Autogenesis: A Self-Evolving Agent Protocol HALO: Hierarchical Autonomous Logic-Oriented Orchestration for Multi-Agent LLM Systems

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-05-21T00:19:16.819807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-21T00:15:18.079458Z digest=sha256:b8b7068e152556cad91383bc93e1bd975a075461e1997a6174bd5a43f9b41df6

Observation e6a32707-e117-47e3-98d2-15e543a0bcbe · inbound

Reinforcement Learning for LLM-based Multi-Agent Systems through Orchestration Traces cites this paper.

Reinforcement Learning for LLM-based Multi-Agent Systems through Orchestration Traces HALO: Hierarchical Autonomous Logic-Oriented Orchestration for Multi-Agent LLM Systems

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-05-09T06:15:37.770043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-08T18:44:27.685266Z digest=sha256:1b88e94daaf7a989cf504b5b3ca640fc723c35f780df9746945e8cd08f54e03a

Observation ec433654-a542-4c70-a157-7db864d1528a · inbound

What to Format and How: A Benchmark and Workflow Approach for Document Formatting cites this paper.

What to Format and How: A Benchmark and Workflow Approach for Document Formatting HALO: Hierarchical Autonomous Logic-Oriented Orchestration for Multi-Agent LLM Systems

Reference 30

Resolution
verified exact
arxiv_id, observed 2026-07-01T23:26:22.640596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-06-28T14:21:53.716738Z digest=sha256:31a0dd9e7970a91e716b2e09170c6e07e731cc01f552a784741929598398ba6a

Observation 89f3581e-008e-4689-aa24-424d4ed15c16 · inbound

Multi-Agent LLMs Fail to Explore Each Other cites this paper.

Multi-Agent LLMs Fail to Explore Each Other HALO: Hierarchical Autonomous Logic-Oriented Orchestration for Multi-Agent LLM Systems

Reference 12

Resolution
unresolved
no resolver link, observed 2026-07-14T06:01:28.311572Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T06:01:28.311572Z digest=sha256:244f1bb1bd57292fd73e731d7056b3d7a7513cafb6daabe0525fb3c9eac893be

Observation 6af5ccfb-8a04-43da-886b-f4948bbdafd2 · inbound

InSight-doc: Agentic Visual Perception for Long-Document Understanding cites this paper.

InSight-doc: Agentic Visual Perception for Long-Document Understanding HALO: Hierarchical Autonomous Logic-Oriented Orchestration for Multi-Agent LLM Systems

Reference 179

Resolution
unresolved
no resolver link, observed 2026-08-12T20:43:53.530497Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T20:43:53.530497Z digest=sha256:d5ff09c7f8a4be08719877f12c2a6311deff264ff6feffacc5e23e83fb7a286d