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Paper Citation Record · LEDGER

A Formal Hierarchical Architecture for Agentic Orchestration with Stack-Based Execution and Lazy Discovery

As of 8 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 0 inbound Pith citation observations for arXiv:2607.11138.

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

pith.paper-citation-record.v1
2607.11138 v1

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-14T06:48:32.645976Z

measured 33 of 33 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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

33 of 33 outbound references displayed

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External citation measurements

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Outbound references

Observation 7950f30f-aa00-4d92-bb1b-d63d6cd1c18b · outbound

This paper cites Attention Is All You Need,.

A Formal Hierarchical Architecture for Agentic Orchestration with Stack-Based Execution and Lazy Discovery Attention Is All You Need,

Reference 1

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source=pdf_text observed=2026-07-14T06:48:32.645976Z digest=sha256:628738866863bceabe591988877a2305112eb188646d2e789a9c30bcbd606ffd

Observation ccf82eeb-3f96-4b3d-9ddf-fb75c708f91f · outbound

This paper cites Toolformer: Language Models Can Teach Themselves to Use Tools.

A Formal Hierarchical Architecture for Agentic Orchestration with Stack-Based Execution and Lazy Discovery Toolformer: Language Models Can Teach Themselves to Use Tools

Reference 2

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source=pdf_text observed=2026-07-14T06:48:32.645976Z digest=sha256:b321838969b4d49c393737ecb51566fa80b068ae1dd1c23c303b6acad43995ef

Observation 5602dce9-14d9-49c7-944c-8bddda04b782 · outbound

This paper cites AgentBench: Evaluating LLMs as Agents,.

A Formal Hierarchical Architecture for Agentic Orchestration with Stack-Based Execution and Lazy Discovery AgentBench: Evaluating LLMs as Agents,

Reference 3

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source=pdf_text observed=2026-07-14T06:48:32.645976Z digest=sha256:821f8c8f1154056bb1a670e827d96e70d20d89c3020b7d1abce3774c21f6a057

Observation 235ec1ac-e636-443d-a2df-509aa85b3390 · outbound

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

A Formal Hierarchical Architecture for Agentic Orchestration with Stack-Based Execution and Lazy Discovery ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs,

Reference 4

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source=pdf_text observed=2026-07-14T06:48:32.645976Z digest=sha256:beccfea777531c350fab10b248f7daa1404539f82adfa250e3054480cdb53fb9

Observation b5e7938a-6dc4-45c7-914d-b6a01631468e · outbound

This paper cites AnyTool: Self-Reflective, Hierar- chical Agents for Large-Scale API Calls,.

A Formal Hierarchical Architecture for Agentic Orchestration with Stack-Based Execution and Lazy Discovery AnyTool: Self-Reflective, Hierar- chical Agents for Large-Scale API Calls,

Reference 5

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source=pdf_text observed=2026-07-14T06:48:32.645976Z digest=sha256:e7399f0175ffc56e895f7e30c6204059ecf749d0f7d22ffe7bf45c5326915ee2

Observation ba7935e2-746e-4d98-ab8a-713c6f842280 · outbound

This paper cites On the Tool Manipulation Capability of Open-source Large Language Models.

A Formal Hierarchical Architecture for Agentic Orchestration with Stack-Based Execution and Lazy Discovery On the Tool Manipulation Capability of Open-source Large Language Models

Reference 6

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source=pdf_text observed=2026-07-14T06:48:32.645976Z digest=sha256:6945d54085a9b79a686a1a75c54864055a567aefe224fa72f016b95b194c6885

Observation c37713c0-611d-4ba7-90b2-f900989083d9 · outbound

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

A Formal Hierarchical Architecture for Agentic Orchestration with Stack-Based Execution and Lazy Discovery AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation

Reference 7

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source=pdf_text observed=2026-07-14T06:48:32.645976Z digest=sha256:7e88be31f0007c3b9c28fbb6c3f405b577706b88e45c83085261c8fe5035df3e

Observation 5067ba4a-d2a9-41f4-8b8f-58f4bc70b471 · outbound

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

A Formal Hierarchical Architecture for Agentic Orchestration with Stack-Based Execution and Lazy Discovery MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework,

Reference 8

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Observation 01f48e3f-59f3-49db-b29a-e93e40c22246 · outbound

This paper cites Communicative Agents for Software Develop- ment,.

A Formal Hierarchical Architecture for Agentic Orchestration with Stack-Based Execution and Lazy Discovery Communicative Agents for Software Develop- ment,

Reference 9

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source=pdf_text observed=2026-07-14T06:48:32.645976Z digest=sha256:2782120d45cc2482d4958650c4e219ca606608138b549a1e3cadaa00bbfa9df7

Observation bf33cfca-a932-4902-9624-704693cd114f · outbound

This paper cites MemGPT: Towards LLMs as Operating Systems.

A Formal Hierarchical Architecture for Agentic Orchestration with Stack-Based Execution and Lazy Discovery MemGPT: Towards LLMs as Operating Systems

Reference 10

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source=pdf_text observed=2026-07-14T06:48:32.645976Z digest=sha256:90937f1cb9e58ecbbed919ca7c240487c27372757fe58a8a1f257e13613c9145

Observation f051e3d7-89f5-46a1-8563-f891c286e9f6 · outbound

This paper cites UPI Help,.

A Formal Hierarchical Architecture for Agentic Orchestration with Stack-Based Execution and Lazy Discovery UPI Help,

Reference 11

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source=pdf_text observed=2026-07-14T06:48:32.645976Z digest=sha256:17ebb6b25f2c3c8d1c90f0b7445524bf4bf6b8ab431258cc0035d532eb4b3a53

Observation fbcd11aa-1d6b-4af6-9b30-a6d57bbaa303 · outbound

This paper cites Sipser,Introduction to the Theory of Computation, 3rd ed.

A Formal Hierarchical Architecture for Agentic Orchestration with Stack-Based Execution and Lazy Discovery Sipser,Introduction to the Theory of Computation, 3rd ed

Reference 12

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source=pdf_text observed=2026-07-14T06:48:32.645976Z digest=sha256:4e463ebad2d3dc933a7ed4a5aba6c6affa4677b6e00790de66c9e9b8b278dc7c

Observation a8f4eeec-2468-4c09-a4ef-fc1259516281 · outbound

This paper cites TaskMatrix.AI: Completing Tasks by Connecting Foundation Models with Millions of APIs.

A Formal Hierarchical Architecture for Agentic Orchestration with Stack-Based Execution and Lazy Discovery TaskMatrix.AI: Completing Tasks by Connecting Foundation Models with Millions of APIs

Reference 13

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source=pdf_text observed=2026-07-14T06:48:32.645976Z digest=sha256:d587dcbd0e540a3ff2c17078503bf4b0f968ac916e65c2bfc4b6824aafd7721d

Observation 3ad51096-c9a4-4a8b-b199-4462cc00d947 · outbound

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

A Formal Hierarchical Architecture for Agentic Orchestration with Stack-Based Execution and Lazy Discovery Voyager: An Open-Ended Embodied Agent with Large Language Models

Reference 14

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source=pdf_text observed=2026-07-14T06:48:32.645976Z digest=sha256:b3a2441b768fa1e85676b06726b65eb76a7eb9d1797e7650d3993d0a51a2dabe

Observation f78fed39-389a-4630-af52-86c127d620bc · outbound

This paper cites An LLM Compiler for Parallel Function Calling,.

A Formal Hierarchical Architecture for Agentic Orchestration with Stack-Based Execution and Lazy Discovery An LLM Compiler for Parallel Function Calling,

Reference 15

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source=pdf_text observed=2026-07-14T06:48:32.645976Z digest=sha256:51593d9573c88a12758132ed00dfc1a3e1111f95aa26c1f32c5f3d6a00f63caa

Observation cc13e94d-b563-443e-b263-5556c22b0a09 · outbound

This paper cites Hugging- GPT: Solving AI Tasks with ChatGPT and Its Friends in Hugging Face,.

A Formal Hierarchical Architecture for Agentic Orchestration with Stack-Based Execution and Lazy Discovery Hugging- GPT: Solving AI Tasks with ChatGPT and Its Friends in Hugging Face,

Reference 16

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source=pdf_text observed=2026-07-14T06:48:32.645976Z digest=sha256:5dc8cafc930639211c65417e869c2e077bdfd772d8a4a066740b57e6d79827c6

Observation bbfecf75-5971-42f0-970b-64d78a4d8425 · outbound

This paper cites AgentVerse: Facilitating Multi-Agent Collabora- tion and Exploring Emergent Behaviors,.

A Formal Hierarchical Architecture for Agentic Orchestration with Stack-Based Execution and Lazy Discovery AgentVerse: Facilitating Multi-Agent Collabora- tion and Exploring Emergent Behaviors,

Reference 17

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source=pdf_text observed=2026-07-14T06:48:32.645976Z digest=sha256:2ec1f59466db9337d3a0700036f0ae9c350a77d5cee818624f873939c33589ec

Observation 50cfd489-3445-4f05-a668-8582f4c97a70 · outbound

This paper cites Model Context Protocol Specification,.

A Formal Hierarchical Architecture for Agentic Orchestration with Stack-Based Execution and Lazy Discovery Model Context Protocol Specification,

Reference 18

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source=pdf_text observed=2026-07-14T06:48:32.645976Z digest=sha256:c4c485046650f4e192bdc050b126c223177ca77bb75b8ba0d85a95525c860d7f

Observation ac4dd784-83d3-43d9-b932-e1d7cb8370ac · outbound

This paper cites Query Evaluation Techniques for Large Databases,.

A Formal Hierarchical Architecture for Agentic Orchestration with Stack-Based Execution and Lazy Discovery Query Evaluation Techniques for Large Databases,

Reference 19

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Observation 878e6a00-cc3e-47f3-a81f-0b1bcad9d0b0 · outbound

This paper cites Three Models for the Description of Language,.

A Formal Hierarchical Architecture for Agentic Orchestration with Stack-Based Execution and Lazy Discovery Three Models for the Description of Language,

Reference 20

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Observation acfeca11-d3bd-4777-99ee-2cc77cb1a512 · outbound

This paper cites ReAct: Synergizing Reasoning and Acting in Lan- guage Models,.

A Formal Hierarchical Architecture for Agentic Orchestration with Stack-Based Execution and Lazy Discovery ReAct: Synergizing Reasoning and Acting in Lan- guage Models,

Reference 21

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source=pdf_text observed=2026-07-14T06:48:32.645976Z digest=sha256:4fb3cf38f0064196303391f2aeac28dcd3c55ce6faa7bcb8e3ce1aed81a325c1

Observation 6759bec2-9d6a-49fd-91ef-a72280297d56 · outbound

This paper cites Chain-of-Thought Prompting Elicits Reasoning in Large Language Models,.

A Formal Hierarchical Architecture for Agentic Orchestration with Stack-Based Execution and Lazy Discovery Chain-of-Thought Prompting Elicits Reasoning in Large Language Models,

Reference 22

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Observation 113620c8-b4a7-4719-8194-a1af90874ad1 · outbound

This paper cites Generative Agents: Interactive Simulacra of Human Behavior,.

A Formal Hierarchical Architecture for Agentic Orchestration with Stack-Based Execution and Lazy Discovery Generative Agents: Interactive Simulacra of Human Behavior,

Reference 23

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source=pdf_text observed=2026-07-14T06:48:32.645976Z digest=sha256:19868f0b032fca9c5c0fce5d1ebbaccee71ad14b6d098492cf903c3c5f896efc

Observation 917266c3-e7ae-4031-baf6-bcc71456050d · outbound

This paper cites Formal-LLM: Integrating Formal Language and Natural Language for Controllable LLM-based Agents.

A Formal Hierarchical Architecture for Agentic Orchestration with Stack-Based Execution and Lazy Discovery Formal-LLM: Integrating Formal Language and Natural Language for Controllable LLM-based Agents

Reference 24

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Observation 3c9ed5a8-c020-4d28-8258-4b59214fe193 · outbound

This paper cites Tree of Thoughts: Deliberate Problem Solving with Large Language Models,.

A Formal Hierarchical Architecture for Agentic Orchestration with Stack-Based Execution and Lazy Discovery Tree of Thoughts: Deliberate Problem Solving with Large Language Models,

Reference 25

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Observation bc9d6c35-780c-44d6-bf7a-b7a1c4bc0e91 · outbound

This paper cites OpenAPI Specification v3.1.0,.

A Formal Hierarchical Architecture for Agentic Orchestration with Stack-Based Execution and Lazy Discovery OpenAPI Specification v3.1.0,

Reference 26

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source=pdf_text observed=2026-07-14T06:48:32.645976Z digest=sha256:4a2c96328dc4c7025b9f9d7f756b2d5536ae126b73abef971fbfc35e6ab354b3

Observation de840aa9-362a-48c2-8030-646cbf32f7bc · outbound

This paper cites Foundations of JSON Schema,.

A Formal Hierarchical Architecture for Agentic Orchestration with Stack-Based Execution and Lazy Discovery Foundations of JSON Schema,

Reference 27

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source=pdf_text observed=2026-07-14T06:48:32.645976Z digest=sha256:60d36846a370a3e8054429208d0276f358dfe3d50f8ef26c90136949afe7f09c

Observation ef2d7cc6-c692-489b-9e24-1bb2499fe9a1 · outbound

This paper cites The Protection of Information in Computer Systems,.

A Formal Hierarchical Architecture for Agentic Orchestration with Stack-Based Execution and Lazy Discovery The Protection of Information in Computer Systems,

Reference 28

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source=pdf_text observed=2026-07-14T06:48:32.645976Z digest=sha256:54424ae59afc2eb3f2e35800696378ed6ea4c9a55f053fc949f41a6c1d32a215

Observation a5882a89-fbf1-4566-b793-4ec5813db146 · outbound

This paper cites Ignore Previous Prompt: Attack Techniques For Language Models.

A Formal Hierarchical Architecture for Agentic Orchestration with Stack-Based Execution and Lazy Discovery Ignore Previous Prompt: Attack Techniques For Language Models

Reference 29

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source=pdf_text observed=2026-07-14T06:48:32.645976Z digest=sha256:552277c148a42d0a2d1f9aa962ad340da52b9a8225398b81797030244a1bfe1d

Observation 604176ff-a764-4779-b1a3-5b060fde121f · outbound

This paper cites Prompt Injection attack against LLM-integrated Applications.

A Formal Hierarchical Architecture for Agentic Orchestration with Stack-Based Execution and Lazy Discovery Prompt Injection attack against LLM-integrated Applications

Reference 30

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source=pdf_text observed=2026-07-14T06:48:32.645976Z digest=sha256:259797adf0bfbe7c7ef5c6d7a63927edc68d3213534ac6a1e781fac2a1c2a82f

Observation 90be2b5a-45c9-4251-bec5-2303a10a0fff · outbound

This paper cites GPT-4 Technical Report.

A Formal Hierarchical Architecture for Agentic Orchestration with Stack-Based Execution and Lazy Discovery GPT-4 Technical Report

Reference 31

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source=pdf_text observed=2026-07-14T06:48:32.645976Z digest=sha256:6c5045744188987e00e802df11eae49e4c3de229c84935674c3e534d1797cc49

Observation 80fafb71-2f75-46c4-b1ec-22b504bd01c5 · outbound

This paper cites AFlow: Automating Agentic Workflow Generation.

A Formal Hierarchical Architecture for Agentic Orchestration with Stack-Based Execution and Lazy Discovery AFlow: Automating Agentic Workflow Generation

Reference 32

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source=pdf_text observed=2026-07-14T06:48:32.645976Z digest=sha256:19cef3823269b46aa4361ce7dd425033037f4d71320634babf5fee13a9449119

Observation 36cc8b67-a762-459c-9a55-e6a2dad0e84d · outbound

This paper cites AnaFlow: Agentic LLM-based Workflow for Reasoning-Driven Explainable Analog Circuit Sizing,.

A Formal Hierarchical Architecture for Agentic Orchestration with Stack-Based Execution and Lazy Discovery AnaFlow: Agentic LLM-based Workflow for Reasoning-Driven Explainable Analog Circuit Sizing,

Reference 33

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source=pdf_text observed=2026-07-14T06:48:32.645976Z digest=sha256:2bb325e3168045d38566d673d4b84bb3fdda3721a7512b59ae29791cd471ea22

Pith citing papers

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