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Paper Citation Record · LEDGER

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

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

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=sha256:49517ccad6bdded4f7b66e0f97a5ba5b592e71d7a106130e510d8db8745b8107

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=sha256:1488448e5232afa150629be00fedb33c7fceea378247f916401578463742b38a

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=sha256:709165fe2ba99232a59a0a77e7c0572fbfd2453051cb5e6a355121af2d8ad6e2

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=sha256:66513a9b24e9fde969c4f3df4d22df0dba8fc752c486c0fbd5940bc8ae651d17

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=sha256:99ce51db5b123dc311d04f933f50ab32da40e34331b41b93f0a45e8baabfaf86

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=sha256:462d0e3a0ec3d2647f4c1e79b80b7bb1e467628282601e0330038b665eb5f563

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=sha256:2595e728a99084240004bae1c6a009af1040ce843d57faaf2e30ac88b63f0616

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:dfe4ccd2e7527179bca90fe2583554f6f6905ac49e0511f61556018e0b1fe8b7

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=sha256:262eb2088bc4752e45180e47b7bf3ae4cc41448f342e7377ad39e9744cf3df81

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=sha256:4ccaf34312bc8857319e8a4fef8b18dbca5e7034c631d03cf4c7863c76b42c10

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:dadc7f0bf47aead10dd6a52fcaa81b0681b4385960819bddac17967bcb3e8285

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=sha256:3b322a305b89dc6d3512cacffc04641afce35d478b46b665ad6e1d5683533e66

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:c656851f0ae34efe9a55d60ef0affe593af0b80c30fa78854b303ca4160fd535

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:b8bb8759a942a535af1b9c5cf09be7df7f449e857ebe3e46234fc1b11015dcbc

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:bdec826a9ad068fac411e35c08fca3bb8311d55b183d0d883e3c2cd8ca454a2a

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:e045001dd3baed51d3a30312e49f108cb9a36d0bde96cc578f7a34ebfe7a72cf

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:ac8b6f75e98f20a99cb3fcac2d4dd9bffbfd7456b2fb7cee654a09ccde3b28d0

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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source=pdf_text observed=2026-07-14T06:48:32.645976Z digest=sha256:bc73325791baa038b1d3f99e7c3ed9edb49b3fe7a98804b90e3a25b587af0103

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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source=pdf_text observed=2026-07-14T06:48:32.645976Z digest=sha256:1d3264acf6c15d23b178b81ce992654932cae81d3a5435544407d551ca7c8c7f

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=sha256:371e517103be8d050ad4af039437f01cdd911b98b8ab1b76f414321010900690

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=sha256:45b390e35198f5b44f80e0ddc0a658bd7b1db980a5b3ee9e28d4c384a4642c67

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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source=pdf_text observed=2026-07-14T06:48:32.645976Z digest=sha256:4188184c0a7edf0639fd456e64f3b3b038eb7f4d5c58de5cde2462c9a521ec08

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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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=sha256:9939081593dc442052a1af6aa87e8a942daa3c7f68580beedc5d00e807430762

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=sha256:1829e505ebf934e5848bfd68338e5a19d5e30ceea324ac78d8dd952b5c9911a1

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:d5e6e1dd9a325631f1f3fcf7db95ce7ce1f1d0a44ad915589f96e8042f8e0f4b

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=sha256:5a1eb9eb12d1988f02fa487728e26b206ce6880df7d1c0e8c590eafeb335acbb

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=sha256:270653968f51f72174a393a910c8615678c7f788e0f59928df2d96b9e92ef962

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=sha256:2c7f55ef33f501b8f39fdd7f6450a6368867c1b778c39e40172c94fb13068a87

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:e5e6ecda8ad5d7d97e77dd7a7dab4a0dc015044b43eb79c16b6ff45891b9d65b

Pith citing papers

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