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Paper Citation Record · LEDGER

Routine: A Structural Planning Framework for LLM Agent System in Enterprise

As of 11 August 2026, this Paper Citation Record lists 62 of 62 outbound references and 4 inbound Pith citation observations for arXiv:2507.14447.

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

pith.paper-citation-record.v1
2507.14447 v2

Coverage vector

measured 62 of 62 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:10:15.389694Z

measured 66 of 66 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-29T21:13:03.346422Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T21:13:59.476823Z

Reference resolution

62 of 62 outbound references displayed

  • verified exact0
  • verified fuzzy39
  • unresolved23
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b6088779-ad0c-4747-9711-2d69a8a75595 · outbound

This paper cites An Introduction to MultiAgent Systems.

Routine: A Structural Planning Framework for LLM Agent System in Enterprise An Introduction to MultiAgent Systems

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:10:17.277742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T16:10:11.279363Z digest=sha256:43bdbc9e2b416b53059d2c1ebb0af8e4200955d0845f9d13820acab2276f48c0

Observation 138659bb-5d30-4bda-85e6-85bf5a52f3fc · outbound

This paper cites A survey on large language model based autonomous agents.

Routine: A Structural Planning Framework for LLM Agent System in Enterprise A survey on large language model based autonomous agents

Reference 2

Resolution
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no resolver link, observed 2026-08-06T16:10:11.395376Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:10:11.395376Z digest=sha256:1d398c077ec73acd17ca95d78393c248b143e2e7757b293eecbda8edbc092477

Observation bc9a5e7f-784d-4b40-90c8-abb863ed9592 · outbound

This paper cites Data interpreter: An llm agent for data science, 2024.

Routine: A Structural Planning Framework for LLM Agent System in Enterprise Data interpreter: An llm agent for data science, 2024

Reference 3

Resolution
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no resolver link, observed 2026-08-06T16:10:11.586151Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:10:11.586151Z digest=sha256:325b992338294f5a174fb1daa2357aac702446cd334a36d4cd8ce784832c078a

Observation cf96b71b-04f2-40fa-9b4d-107a70fdf08a · outbound

This paper cites Gorilla: Large Language Model Connected with Massive APIs.

Routine: A Structural Planning Framework for LLM Agent System in Enterprise Gorilla: Large Language Model Connected with Massive APIs

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-06T16:10:11.753964Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:10:11.753964Z digest=sha256:b1ee0144dd7d1395c0d262c2d52f22c103f7e1f63afc5c78a08e953790c9e71c

Observation ce47fe08-04f2-4e24-89e2-9df894656bf7 · outbound

This paper cites Extracting knowledge graphs from user stories using langchain, 2025.

Routine: A Structural Planning Framework for LLM Agent System in Enterprise Extracting knowledge graphs from user stories using langchain, 2025

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:10:17.214251Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T16:10:11.929535Z digest=sha256:628a884be8a3cfd2aac3395522f49ff7edc9a8163cdced6ebd566f8c21ca185d

Observation 9d622d44-41f7-4c8c-836b-e4daabaf7d95 · outbound

This paper cites From mind to machine: The rise of manus ai as a fully autonomous digital agent, 2025.

Routine: A Structural Planning Framework for LLM Agent System in Enterprise From mind to machine: The rise of manus ai as a fully autonomous digital agent, 2025

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:10:17.190687Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T16:10:12.062411Z digest=sha256:e75e3eae47fb4f4a76afc32079d13a93fbe951624fb94ccc75d22ee0a3f3a44f

Observation ef10b2c2-b96c-4ac0-ad67-44166c968fd9 · outbound

This paper cites Orchestrating agents and data for enterprise: A blueprint architecture for compound ai, 2025.

Routine: A Structural Planning Framework for LLM Agent System in Enterprise Orchestrating agents and data for enterprise: A blueprint architecture for compound ai, 2025

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:10:17.157709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T16:10:12.120297Z digest=sha256:24c489ad34b93990fc95c613540a3cca1b87ff82b0d5f9495ef90e215915cc84

Observation 44e77f06-d690-46f9-a845-770bc9f9b1d0 · outbound

This paper cites Flowbench: Revisiting and benchmarking workflow-guided planning for llm-based agents, 2024.

Routine: A Structural Planning Framework for LLM Agent System in Enterprise Flowbench: Revisiting and benchmarking workflow-guided planning for llm-based agents, 2024

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:10:17.135824Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T16:10:12.178231Z digest=sha256:8a197c12297dad55247888388c2d76dab5baab438b278f9e25b02ce0e1a76b6a

Observation 75fa2dc9-7c84-4df7-b7cb-9478dee1437d · outbound

This paper cites Reducing tool hallucination via reliability alignment, 2025.

Routine: A Structural Planning Framework for LLM Agent System in Enterprise Reducing tool hallucination via reliability alignment, 2025

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:10:17.098034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T16:10:12.228430Z digest=sha256:b4bb83d4807872229df63f023ef8e9bba28da3ae0e9f27b12be9f29d4cdc8de6

Observation b735ed0b-dc2c-4b4d-bbff-082b531cd32c · outbound

This paper cites Flowmind: Automatic workflow generation with llms, 2024.

Routine: A Structural Planning Framework for LLM Agent System in Enterprise Flowmind: Automatic workflow generation with llms, 2024

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:10:17.077196Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T16:10:12.293724Z digest=sha256:59f19fcacb624c4c47feb440fb55d2bc4535d88891bd6de2511b2ddceb51e269

Observation 51ed6e9d-f741-4d0a-9d73-d7b791341b1f · outbound

This paper cites Beyond snippet assistance: A workflow-centric framework for end-to-end ai-driven code generation.

Routine: A Structural Planning Framework for LLM Agent System in Enterprise Beyond snippet assistance: A workflow-centric framework for end-to-end ai-driven code generation

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:10:17.041514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T16:10:12.407705Z digest=sha256:53fef2a13f879e43b9f1a4b7c8f844ab86da9c91624f07ee4c7d40b257645c55

Observation a4acc481-7fff-4fba-9a35-ee57f3c0fdb2 · outbound

This paper cites From words to workflows: Automating business processes, 2024.

Routine: A Structural Planning Framework for LLM Agent System in Enterprise From words to workflows: Automating business processes, 2024

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:10:17.014451Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T16:10:12.523930Z digest=sha256:99113ef15a9e0476029b73de7c213bbf31e8dc43cfd434d79e3958aaf1e6ea6c

Observation 27189118-e83b-4569-84dc-baec93140a0e · outbound

This paper cites Shah, and Christopher Re.

Routine: A Structural Planning Framework for LLM Agent System in Enterprise Shah, and Christopher Re

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:10:16.990533Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T16:10:12.633188Z digest=sha256:d772868472ffe7e79be5032f1c9c4d4a4e795908eafccdfcc98560a354f0ae6f

Observation b55ec1ae-2f02-4d75-8559-ab58415b2721 · outbound

This paper cites Ida: Breaking barriers in no-code ui automation through large language models and human-centric design, 2024.

Routine: A Structural Planning Framework for LLM Agent System in Enterprise Ida: Breaking barriers in no-code ui automation through large language models and human-centric design, 2024

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:10:16.959872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T16:10:12.748314Z digest=sha256:956bc139e58a13f449c88d7feded89b231c0fb38c53df67e621c169d239813c5

Observation 31b28869-1f39-4066-8c85-d913798cf78b · outbound

This paper cites Using reasoning for routine generation.

Routine: A Structural Planning Framework for LLM Agent System in Enterprise Using reasoning for routine generation

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:10:16.926394Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T16:10:12.865356Z digest=sha256:008065ec377e3bed3262ca5e1592f426cad60762447a35559065af91c6562470

Observation f0d154bf-72a0-446b-9a3e-ed7741db944b · outbound

This paper cites Tool-planner: Task planning with clusters across multiple tools, 2025.

Routine: A Structural Planning Framework for LLM Agent System in Enterprise Tool-planner: Task planning with clusters across multiple tools, 2025

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:10:16.898429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T16:10:12.977933Z digest=sha256:b002eeb831dcae28a58f392f0b2878ca3fc292613c021b1faecb9e0b1955aaac

Observation 01f84f23-8120-4934-9b56-f155409cb30d · outbound

This paper cites Towards large language model-based personal agents in the enterprise: Current trends and open problems.

Routine: A Structural Planning Framework for LLM Agent System in Enterprise Towards large language model-based personal agents in the enterprise: Current trends and open problems

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:10:16.862851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T16:10:13.091403Z digest=sha256:14346ab99fa8541df102f6df37b402d4007610058e731adc6d62493be0467838

Observation 5a81b5c7-79ab-461b-8b76-0fffc7f03400 · outbound

This paper cites Auto-gpt for online decision making: Benchmarks and additional opinions, 2023.

Routine: A Structural Planning Framework for LLM Agent System in Enterprise Auto-gpt for online decision making: Benchmarks and additional opinions, 2023

Reference 18

Resolution
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no resolver link, observed 2026-08-06T16:10:13.166258Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:10:13.166258Z digest=sha256:d06cfe3f7b5a07db07c1a883567d18d3e5a9824e744a0e6e15b27ac03ab80a24

Observation 18f351d0-9227-4ec5-a82f-2f7903ade126 · outbound

This paper cites Multi-agent collaboration: Harnessing the power of intelligent llm agents, 2023.

Routine: A Structural Planning Framework for LLM Agent System in Enterprise Multi-agent collaboration: Harnessing the power of intelligent llm agents, 2023

Reference 19

Resolution
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no resolver link, observed 2026-08-06T16:10:13.287762Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:10:13.287762Z digest=sha256:afa03effabef35562a831fdcaa207138da099b2bccf878a583a3ecc32e3afd22

Observation ebb86ed9-31b1-40e0-a6de-833b073aa017 · outbound

This paper cites Autogen: Enabling next-gen llm applications via multi-agent conversation, 2023.

Routine: A Structural Planning Framework for LLM Agent System in Enterprise Autogen: Enabling next-gen llm applications via multi-agent conversation, 2023

Reference 20

Resolution
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no resolver link, observed 2026-08-06T16:10:13.380682Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:10:13.380682Z digest=sha256:658a30ca27a4765104b80f3e188dfc794db6214819121a1168d157184bcbb0a0

Observation 6a24815e-e9cd-4201-9f27-eafb2fcf2fb8 · outbound

This paper cites Chang and Longling Geng.

Routine: A Structural Planning Framework for LLM Agent System in Enterprise Chang and Longling Geng

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:10:16.785733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T16:10:13.473517Z digest=sha256:dd1f31ee6bf7194487c2e400cccd6f98c2743235680dc37b2d0f05c743f4b1f0

Observation 27d2a5b7-5c83-4c39-af95-2d63729d44cb · outbound

This paper cites Agentif: Benchmarking instruction following of large language models in agentic scenarios, 2025.

Routine: A Structural Planning Framework for LLM Agent System in Enterprise Agentif: Benchmarking instruction following of large language models in agentic scenarios, 2025

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:10:16.755293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T16:10:13.552263Z digest=sha256:c7b7350a4284c4f84e194ad4b04b7bf6b70132d0798ce78490c65a30a0fe67fb

Observation 73876b32-8d5e-4c03-aaac-65868252651d · outbound

This paper cites The cost of dynamic reasoning: Demystifying ai agents and test-time scaling from an ai infrastructure perspective, 2025.

Routine: A Structural Planning Framework for LLM Agent System in Enterprise The cost of dynamic reasoning: Demystifying ai agents and test-time scaling from an ai infrastructure perspective, 2025

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:10:16.734792Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T16:10:13.639337Z digest=sha256:6562c7a77175bb33511c586cd7c65921f6c3c2056c9bc43785859dc172c1e025

Observation 2cb389c6-4762-48d1-92b8-d73626604cd1 · outbound

This paper cites Runaway is ashamed, but helpful: On the early-exit behavior of large language model-based agents in embodied environments, 2025.

Routine: A Structural Planning Framework for LLM Agent System in Enterprise Runaway is ashamed, but helpful: On the early-exit behavior of large language model-based agents in embodied environments, 2025

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:10:16.713413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T16:10:13.742384Z digest=sha256:f1579f2f313c80cf4adc71b4a0ae711f4285bddcdb9e1f0481b4018ea68d798d

Observation 4837aad5-fe26-4090-a37b-fae20a6ad284 · outbound

This paper cites Manus: Markerless grasp capture using articulated 3d gaussians, 2024.

Routine: A Structural Planning Framework for LLM Agent System in Enterprise Manus: Markerless grasp capture using articulated 3d gaussians, 2024

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:10:16.690118Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T16:10:13.821265Z digest=sha256:59f503b75ceb1a6a08581ea8ffaf6e7e8dd71e5e816ef05393138f01b5aa952d

Observation a99f8686-93d6-48fc-82e2-4b717532b8dc · outbound

This paper cites Agentorchestra: A hierarchical multi-agent framework for general-purpose task solving, 2025.

Routine: A Structural Planning Framework for LLM Agent System in Enterprise Agentorchestra: A hierarchical multi-agent framework for general-purpose task solving, 2025

Reference 26

Resolution
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no resolver link, observed 2026-08-06T16:10:13.897049Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:10:13.897049Z digest=sha256:0249824d678dbfbe59a77e54e3548b344e0f4f1e1757b5d26bac0928d823f773

Observation 615490c6-e2c5-401b-9065-f6e1aee0e4c6 · outbound

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

Routine: A Structural Planning Framework for LLM Agent System in Enterprise ReAct: Synergizing reasoning and acting in language models

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:10:16.643769Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T16:10:14.002213Z digest=sha256:10e9c35d6d925a7441338ee767eeb8d86c4dd59d1e881ed6e65e5250a54982f3

Observation bc255fc3-2739-41c9-8c54-bc2709c55ed7 · outbound

This paper cites Plan-and-act: Improving planning of agents for long-horizon tasks, 2025.

Routine: A Structural Planning Framework for LLM Agent System in Enterprise Plan-and-act: Improving planning of agents for long-horizon tasks, 2025

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:10:16.607309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T16:10:14.139507Z digest=sha256:22aef796409e2a0322ed77861039676d3f081c7dc5d3fc80991a88e86dfc2fd0

Observation 3c2941a0-1e71-46b6-b2b8-f521b9d18fc3 · outbound

This paper cites Le, Ed H.

Routine: A Structural Planning Framework for LLM Agent System in Enterprise Le, Ed H

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:10:16.582524Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T16:10:14.205608Z digest=sha256:d6bd35b8e2b749133232741a8144f5998ad7348afd1d7abbb4ed4dde2475287e

Observation 4ee96b6e-3859-4e48-92fe-1a8b7a4ac32d · outbound

This paper cites Nl2plan: Robust llm-driven planning from minimal text descriptions, 2024.

Routine: A Structural Planning Framework for LLM Agent System in Enterprise Nl2plan: Robust llm-driven planning from minimal text descriptions, 2024

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:10:16.560614Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T16:10:14.326742Z digest=sha256:f3bbcd38122bdba68a14f7c2dc3ae499460ea8436aefc6d7bdf35c96d1cb51a1

Observation b6e827ac-db26-4a9c-aebe-b3ec6011ddd6 · outbound

This paper cites an unresolved cited work.

Routine: A Structural Planning Framework for LLM Agent System in Enterprise Unresolved cited work

Reference 31

Resolution
unresolved
raw_fallback, observed 2026-08-06T16:10:16.531872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T16:10:14.340105Z digest=sha256:2652a1ee175da726393c8166f7294e55fc058715c61a03e00be63dee5da2f036

Observation d2416ff6-14e2-4e12-a182-f0ccfb88ce9d · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large language models, 2023.

Routine: A Structural Planning Framework for LLM Agent System in Enterprise Chain-of-thought prompting elicits reasoning in large language models, 2023

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-06T16:10:14.399768Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:10:14.399768Z digest=sha256:92aac9148b13368a244f6f3ebcca889417ebc5b4c4d7ba7f5f695439ba1ffb75

Observation e93d50d4-8853-4590-99d8-85419d0f9854 · outbound

This paper cites an unresolved cited work.

Routine: A Structural Planning Framework for LLM Agent System in Enterprise Unresolved cited work

Reference 33

Resolution
unresolved
raw_fallback, observed 2026-08-06T16:10:16.485450Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T16:10:14.552406Z digest=sha256:0cc91bacf44e5343aa90ba79e97051ef52d71133865eaed2eebfe414231d4713

Observation 848a539a-a3cb-402d-9d14-df5673184ed9 · outbound

This paper cites Smith, Daniel Khashabi, and Hannaneh Hajishirzi.

Routine: A Structural Planning Framework for LLM Agent System in Enterprise Smith, Daniel Khashabi, and Hannaneh Hajishirzi

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-06T16:10:14.677562Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:10:14.677562Z digest=sha256:154b7c60c0cffaecf529202c59ab4d4e7e334cda5489d5626da298e0cf73ceb0

Observation bd7dabdb-1389-4e37-bf80-70947c8e64d5 · outbound

This paper cites an unresolved cited work.

Routine: A Structural Planning Framework for LLM Agent System in Enterprise Unresolved cited work

Reference 35

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T16:10:14.879763Z digest=sha256:4368dc7cc944471a1cdb16387ec330aafddeafeb154b903b64e0b376c6d2b5ba

Observation 1d006c9d-53da-4064-b1be-44c2fd56d4be · outbound

This paper cites an unresolved cited work.

Routine: A Structural Planning Framework for LLM Agent System in Enterprise Unresolved cited work

Reference 36

Resolution
unresolved
raw_fallback, observed 2026-08-06T16:10:16.401472Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T16:10:15.045030Z digest=sha256:7b29dc58169cf621e758c358dbbe2dcae1015c47d949150ef3028f0bf120b0bc

Observation 1838df93-fd54-47cc-be84-a5e968f79dc1 · outbound

This paper cites Zhang, H.

Routine: A Structural Planning Framework for LLM Agent System in Enterprise Zhang, H

Reference 37

Resolution
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raw_fallback, observed 2026-08-06T16:10:16.378535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T16:10:15.151419Z digest=sha256:702c4e9e967896b57711ef1bf8d2d35a7a1a2045cb34942aa282ef389f09942d

Observation f1ed5885-b819-4dcc-9787-d2ae736e12dc · outbound

This paper cites Synthetic Data RL: Task Definition Is All You Need.

Routine: A Structural Planning Framework for LLM Agent System in Enterprise Synthetic Data RL: Task Definition Is All You Need

Reference 38

Resolution
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no resolver link, observed 2026-08-06T16:10:15.160284Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:10:15.160284Z digest=sha256:76e79a8fb1845cd6d582ed8ff3ccd4ba60d5eab2166eb6f7412b7c1c0a2773c3

Observation b8bd0de1-9624-453c-9539-bcbc264d6257 · outbound

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

Routine: A Structural Planning Framework for LLM Agent System in Enterprise ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-06T16:10:15.166234Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:10:15.166234Z digest=sha256:aba2739b88a4197d4543c4e7a4258eea10112b20fe17f21bd68b1d94620f0a65

Observation 27a1254a-e5df-4d3b-9bd7-915e68f0de69 · outbound

This paper cites ToolACE: Winning the Points of LLM Function Calling.

Routine: A Structural Planning Framework for LLM Agent System in Enterprise ToolACE: Winning the Points of LLM Function Calling

Reference 40

Resolution
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no resolver link, observed 2026-08-06T16:10:15.178297Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:10:15.178297Z digest=sha256:784c9d32510e826975d74cfb535ccc56014b81fc2b90e22a33669d9c3478b914

Observation 95f82faf-1a2d-49e9-bfa0-3155ac89a5c5 · outbound

This paper cites ToolAlpaca: Generalized Tool Learning for Language Models with 3000 Simulated Cases.

Routine: A Structural Planning Framework for LLM Agent System in Enterprise ToolAlpaca: Generalized Tool Learning for Language Models with 3000 Simulated Cases

Reference 41

Resolution
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no resolver link, observed 2026-08-06T16:10:15.185452Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:10:15.185452Z digest=sha256:b751308636ec495e41d7a631c6d4fc4fc004aacac8de3c9d81ec4b8c58068a48

Observation 687af844-9f01-4390-9210-f737c1b56f84 · outbound

This paper cites Apigen: Automated pipeline for generating verifiable and diverse function-calling datasets.

Routine: A Structural Planning Framework for LLM Agent System in Enterprise Apigen: Automated pipeline for generating verifiable and diverse function-calling datasets

Reference 42

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raw_fallback, observed 2026-08-06T16:10:16.350931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T16:10:15.192943Z digest=sha256:9004060f0d6f34d4cb715d56483f1f48343a018093974f978f540fd55c6c6131

Observation 9314cf69-1670-4ea1-9949-f5cfb2d1e4ae · outbound

This paper cites Kimi-k2: An agentic framework for tool-augmented language models, 2024.

Routine: A Structural Planning Framework for LLM Agent System in Enterprise Kimi-k2: An agentic framework for tool-augmented language models, 2024

Reference 43

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raw_fallback, observed 2026-08-06T16:10:16.329061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T16:10:15.200146Z digest=sha256:fe05f9fe922fa6a933c939862ad1dd503edd791c35549945a63b607773f5d59b

Observation cbb387d0-01b8-44ac-b32a-e53105edf52f · outbound

This paper cites Distilling the Knowledge in a Neural Network.

Routine: A Structural Planning Framework for LLM Agent System in Enterprise Distilling the Knowledge in a Neural Network

Reference 44

Resolution
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no resolver link, observed 2026-08-06T16:10:15.216995Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:10:15.216995Z digest=sha256:4ca3ae2dc32ffe6874d625338fe2e7d32e6fc22c2dad2a0c26ab66f7b0c90c11

Observation 5de3316b-c453-4b6d-84ee-fcc8f5efbb8f · outbound

This paper cites Adaptable and precise: Enterprise- scenario llm function-calling capability training pipeline, 2024.

Routine: A Structural Planning Framework for LLM Agent System in Enterprise Adaptable and precise: Enterprise- scenario llm function-calling capability training pipeline, 2024

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:10:16.284517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T16:10:15.226189Z digest=sha256:8773ef9ee8c2f9229b9381504983cb68b1ea7a72572c55c4c19d5ffe8946d9c7

Observation 00eca2dc-002d-4380-8dc2-4af392178a18 · outbound

This paper cites Tool learning with large language models: a survey.

Routine: A Structural Planning Framework for LLM Agent System in Enterprise Tool learning with large language models: a survey

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:10:16.258598Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T16:10:15.244668Z digest=sha256:0e7d4401834f858a24efa8c39e9b3b925eaa63d19b2fa444b6fe6212855c59e6

Observation 9056b4b6-6259-48fc-99e4-cd9292fcf6f1 · outbound

This paper cites Redefining enterprise data management with ai-powered automation, 2024.

Routine: A Structural Planning Framework for LLM Agent System in Enterprise Redefining enterprise data management with ai-powered automation, 2024

Reference 47

Resolution
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raw_fallback, observed 2026-08-06T16:10:16.235860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T16:10:15.252989Z digest=sha256:3a422e26a3c7dd15650ce0debe4ec8243c8c8ea3edd7d8fe9f6a1d750fd40a48

Observation 550ec226-58a4-4aa4-81b4-839b72ee032c · outbound

This paper cites Ai-powered decision intelligence in enterprise systems engineering, 2025.

Routine: A Structural Planning Framework for LLM Agent System in Enterprise Ai-powered decision intelligence in enterprise systems engineering, 2025

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:10:16.214259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T16:10:15.259352Z digest=sha256:ebd2944669417495d5cc00794e9b209b0f174473699c4afebc216292714b71aa

Observation f525d53e-78af-4407-99a7-e2e4cd6a8365 · outbound

This paper cites Ai-driven innovations in enterprise systems, 2025.

Routine: A Structural Planning Framework for LLM Agent System in Enterprise Ai-driven innovations in enterprise systems, 2025

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:10:16.190233Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T16:10:15.267737Z digest=sha256:85f088806b4182ee2d5dc7ab0885c8bc8103298d3360bb49b5426f328c938074

Observation 83a18a37-bbb4-4519-964c-289e55695fd8 · outbound

This paper cites Integrating artificial intelligence in enterprise architecture, 2025.

Routine: A Structural Planning Framework for LLM Agent System in Enterprise Integrating artificial intelligence in enterprise architecture, 2025

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:10:16.127440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T16:10:15.274510Z digest=sha256:7f7db932d539ca83eefa5e1643c01dc88898ec18b40e1841c72b6dda1334ab4a

Observation 6804fa6b-04bf-48f2-bf43-363374bf1126 · outbound

This paper cites Mcp-radar: A multi-dimensional benchmark for evaluating tool use capabilities in large language models.

Routine: A Structural Planning Framework for LLM Agent System in Enterprise Mcp-radar: A multi-dimensional benchmark for evaluating tool use capabilities in large language models

Reference 51

Resolution
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no resolver link, observed 2026-08-06T16:10:15.279456Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:10:15.279456Z digest=sha256:320938acc86a87925f06780f1d3274543e1c51d31758cf8dab04dbb6381ca78a

Observation 2351cf8e-cddd-4c6c-ac61-f3642d31eeea · outbound

This paper cites A survey on progress in llm alignment from the perspective of reward design, 2025.

Routine: A Structural Planning Framework for LLM Agent System in Enterprise A survey on progress in llm alignment from the perspective of reward design, 2025

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:10:16.099345Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T16:10:15.287214Z digest=sha256:0d9c4ea09af3e9af961ce5cb022acf6c9e102e96d7378b6edad88ed5cc5bcd51

Observation bcf165ef-5e83-44eb-ae34-b6691cfa35e7 · outbound

This paper cites Longfunceval: Measuring the effective- ness of long context models for function calling, 2025.

Routine: A Structural Planning Framework for LLM Agent System in Enterprise Longfunceval: Measuring the effective- ness of long context models for function calling, 2025

Reference 53

Resolution
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raw_fallback, observed 2026-08-06T16:10:16.078285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T16:10:15.296299Z digest=sha256:4af2f46f709e663614423bcf1cfff431dfdd920df0241b736c083ea0c6282583

Observation f1060d8b-8eaf-4d77-b42f-f566c7817885 · outbound

This paper cites Evaluating large language models in vulnerability detection under variable context windows, 2025.

Routine: A Structural Planning Framework for LLM Agent System in Enterprise Evaluating large language models in vulnerability detection under variable context windows, 2025

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:10:16.050092Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T16:10:15.304205Z digest=sha256:c5088b73df342cb06e18db164797345e410fe2c1f672efca86c51e10fbca8107

Observation 3d544939-a646-4880-a3b3-558cc5b9e7a7 · outbound

This paper cites Knowledge injection via prompt distillation, 2024.

Routine: A Structural Planning Framework for LLM Agent System in Enterprise Knowledge injection via prompt distillation, 2024

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:10:16.028081Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T16:10:15.328598Z digest=sha256:2dba4625ea95a3e6784669e2fdb4d12718ba92bf982205b82b226f092a540c67

Observation 98d4b382-b20e-4620-bce0-c23daba741c2 · outbound

This paper cites Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, and Lu Wang.

Routine: A Structural Planning Framework for LLM Agent System in Enterprise Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, and Lu Wang

Reference 56

Resolution
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raw_fallback, observed 2026-08-06T16:10:15.997511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T16:10:15.335868Z digest=sha256:3fdc70402c660395c50de18c4c25689ef0d3ecd1b9e3c7bfcd0c87b9be3b5e4c

Observation a6856d81-0fa8-4f30-a276-a08880a65e64 · outbound

This paper cites Zero: Memory optimiza- tions toward training trillion parameter models, 2020.

Routine: A Structural Planning Framework for LLM Agent System in Enterprise Zero: Memory optimiza- tions toward training trillion parameter models, 2020

Reference 57

Resolution
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no resolver link, observed 2026-08-06T16:10:15.340378Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:10:15.340378Z digest=sha256:53c1e941c62ae6c7feb935dd5392fb4b88886bc648215f079f0b0e6e12cd9b62

Observation 0e82a6fd-d483-481f-a2b7-a418320e8429 · outbound

This paper cites Flashattention-2: Faster attention with better parallelism and work partitioning, 2023.

Routine: A Structural Planning Framework for LLM Agent System in Enterprise Flashattention-2: Faster attention with better parallelism and work partitioning, 2023

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-06T16:10:15.352873Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:10:15.352873Z digest=sha256:0e6503f8a8163a84ea0dee6f139c0e3468a8943b162bcd6bc0b8cab790146d73

Observation 5a45c7d3-c93a-4f71-b874-1c1180e7ba02 · outbound

This paper cites Patil, Huanzhi Mao, Charlie Cheng-Jie Ji, Fanjia Yan, Vishnu Suresh, Ion Stoica, and Joseph E.

Routine: A Structural Planning Framework for LLM Agent System in Enterprise Patil, Huanzhi Mao, Charlie Cheng-Jie Ji, Fanjia Yan, Vishnu Suresh, Ion Stoica, and Joseph E

Reference 59

Resolution
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raw_fallback, observed 2026-08-06T16:10:15.930508Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T16:10:15.361730Z digest=sha256:4a7150f68c149f4a08d11d785befee2db1ec3c93107cd993dc3822eec90a76d9

Observation 1e414925-70a0-4855-9442-00fd7632730c · outbound

This paper cites an unresolved cited work.

Routine: A Structural Planning Framework for LLM Agent System in Enterprise Unresolved cited work

Reference 60

Resolution
unresolved
raw_fallback, observed 2026-08-06T16:10:15.895426Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T16:10:15.371237Z digest=sha256:d8671f20037a33212aa7c51546960b6c3338c6b4f54330eb69198e45b8563a38

Observation 2806184a-149b-4761-add7-1b28e74c7abd · outbound

This paper cites Evaluating llm-based agents for multi-turn conversations: A survey, 2025.

Routine: A Structural Planning Framework for LLM Agent System in Enterprise Evaluating llm-based agents for multi-turn conversations: A survey, 2025

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:10:15.843138Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T16:10:15.381784Z digest=sha256:23af2db9ce48dff21ba2be7ecfea9ba9a2b65f7abbddb6270c3db8ca14c7dc48

Observation a58b4eb6-cb52-4819-8e9e-56a11d3fcc57 · outbound

This paper cites Does Math Reasoning Improve General LLM Capabilities? Understanding Transferability of LLM Reasoning.

Routine: A Structural Planning Framework for LLM Agent System in Enterprise Does Math Reasoning Improve General LLM Capabilities? Understanding Transferability of LLM Reasoning

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-06T16:10:15.389694Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:10:15.389694Z digest=sha256:2932975830e8d9bfafc2b6da34aaf1515de332a033f4249ded4ea68e5a6b459c

Pith citing papers

Observation 78d85279-aa13-437f-a163-a8b064e4fa4a · inbound

Security Considerations for Multi-agent Systems cites this paper.

Security Considerations for Multi-agent Systems Routine: A Structural Planning Framework for LLM Agent System in Enterprise

Reference 113

Resolution
verified exact
arxiv_id, observed 2026-05-15T14:15:55.246825Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-15T14:12:14.160789Z digest=sha256:09c075c94f99cbab31644caeef58d034092d658421d07a44c4b8b85e16cd0d67

Observation 2f4cb30e-3795-4004-8749-5e919598d778 · inbound

From Agent Loops to Structured Graphs:A Scheduler-Theoretic Framework for LLM Agent Execution cites this paper.

From Agent Loops to Structured Graphs:A Scheduler-Theoretic Framework for LLM Agent Execution Routine: A Structural Planning Framework for LLM Agent System in Enterprise

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-11T10:41:05.305029Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T15:21:56.818914Z digest=sha256:53051a36ce97d850cc91f3a46aa137daa9b5f0f63130a320799e6a8f30af96ae

Observation 278dcdac-3774-4b1b-9023-691b37f23c7d · inbound

Tools as Continuous Flow for Evolving Agentic Reasoning cites this paper.

Tools as Continuous Flow for Evolving Agentic Reasoning Routine: A Structural Planning Framework for LLM Agent System in Enterprise

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-11T01:45:51.744076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-11T01:30:19.859374Z digest=sha256:24bf4b8c724f8d64c2d69cbfb43779b4ff69952aef84e2defd9a1a27cf1e9514

Observation 09472f12-98b0-494a-b470-4c6289969136 · inbound

Your Agents Are Aging Too: Agent Lifespan Engineering for Deployed Systems cites this paper.

Your Agents Are Aging Too: Agent Lifespan Engineering for Deployed Systems Routine: A Structural Planning Framework for LLM Agent System in Enterprise

Reference 45

Resolution
verified exact
arxiv_id, observed 2026-06-29T21:13:59.478275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-29T21:13:03.346422Z digest=sha256:9457e1ed09e4b90c83744184b312b6a46891cbe0e8811375f86bff3087e610bc