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Paper Citation Record · LEDGER

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

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

source=pdf_text observed=2026-08-06T16:10:11.279363Z digest=sha256:add18f0815b8a61e3b3245deeef0c16aadd5ec2b48669f9659fa1a18b059addd

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=sha256:4910f1bc8ef1fdb6d86b3fd0d70b3eac09dc46239d8412c976895a6b2687e14e

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
unresolved
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=sha256:88300e85820e3e274b2351fb5be2d56f27f165bc271f3e9710d7ae24e86d44d1

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:f8ef6cccdc0f477a5395870ba622d280645fc251668023bff77c96c13338ef01

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T16:10:11.929535Z digest=sha256:c6c91bf812d8c9f998740ea76ce299682e96f7f716025accc558e2fc6d55a6cf

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T16:10:12.062411Z digest=sha256:c618920a77726c39624b92a302c3d5e74c9a5170e9566f262241ac2441103538

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T16:10:12.120297Z digest=sha256:77d16aa9413e9d83eef69372e6aec997e29ac16e5cb2f3931311a56d82707c7b

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T16:10:12.178231Z digest=sha256:a4d6823dde991b9d2d1463c76f45540b39022f416e3e32f3fcf1d335b1a1ef93

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T16:10:12.228430Z digest=sha256:3a3d232938d084f9c1be475a037502a0cbb98f9c5ba2deb5f06d31ed8fd1d403

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T16:10:12.293724Z digest=sha256:511f38d061579dedaae4e3e005220674357ec40107c0191d99b54cd524c07cf4

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T16:10:12.407705Z digest=sha256:3884fe002ad22e828f784928ecc6031ac4fd13a16b52b2844e08ec1fd031fb88

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T16:10:12.523930Z digest=sha256:56397f8828cdd4d505233552e96eaa2bb47f3a7f373849d1e7672592577c0dbd

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T16:10:12.633188Z digest=sha256:6a9d3660ecb34548809c6d826f1c9c7b0525669395fe2e82da0cc3ca29d03138

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T16:10:12.748314Z digest=sha256:908eff8824b51804b4bcc183731306f54b23a8c229f476fecc97a5848456fdfd

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T16:10:12.865356Z digest=sha256:1ff2f27bad833c8e607c379f68087e5f9c275aa7052aec4a74f5cc5d840c6f21

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T16:10:12.977933Z digest=sha256:c9b5d7fd368fbe0044a34859e67fceeeccfea45de740beb081d86dc7788e2456

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T16:10:13.091403Z digest=sha256:ddd88c43e0dd472d70ffec8b097af8db6e46c7615ed2d2fa64159fa2510e747e

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=sha256:156e77d7b0b32b70b44cb468adc45a975cde60b2a7b40a2b61bd91107d5c4b2f

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
unresolved
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=sha256:7c4b292a3eab31adb6496ad527076431bfba8928d8f9054fa8095f1472ff2cfd

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=sha256:77102339ad38ad5f37d9aa48291b338a9ffb1385a1a130c140be15bc490f746d

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T16:10:13.473517Z digest=sha256:3ab35da988ee7e0f4cacef651b96162f62c3b9a55398284b431a2cc6aeae49bd

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T16:10:13.552263Z digest=sha256:6e0880bf2659a6c05871e6aa2db8f4c0e87b7f474182e360c4abaae94169b877

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T16:10:13.639337Z digest=sha256:77bd6b9b1f40a4c0f0e2526b27b1d5346f087d1644b6951cc461b27bc8f49302

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T16:10:13.742384Z digest=sha256:0bfa06e23df6bc8a911a84d9031d8dc1bddfc63e4bef409a381c6761cff30456

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
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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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T16:10:13.821265Z digest=sha256:e93563dcae0f13d0b7aaf881077087e341a15a1bc662692af58658ea5c4e05a9

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=sha256:16554594a1319c3d9bec8ab57c807f3055c891f51ed0597f6e34721bf5646dec

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T16:10:14.002213Z digest=sha256:e76631ac8714355fb67c7e60624fbef5b505061a5dfaab9d21b81877615d5e14

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T16:10:14.139507Z digest=sha256:c97a892243e67e4bb2cadeacbe2f860b709551982084b7bbe621a5199e5483eb

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T16:10:14.205608Z digest=sha256:f254f8b11a7d5a60e22ac61f89ed17c313fb0632875f5c5a24ae13c8d12e6f6e

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T16:10:14.326742Z digest=sha256:77085185c18ec6bee03cb0be492b4bd09bd1d788f224379102a390ed7c4a4e91

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T16:10:14.340105Z digest=sha256:4cd42665c2fd4ff922ec7798b4e310792ee0e96320a4012b4aed0cec60a823ee

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:dcaa0f892dc166c6a8d8bbaa2309e4fc4abb4f3728ec331467d8f78261d5f4b0

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T16:10:14.552406Z digest=sha256:4d8db993df7fd8b9227614ea83318d68c2fc48f0a25157a89d78670f132797ea

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:ebbe9f43eb9a93da109675244f5c72f76d6eae0d4fd86d7f87870e16acb9f50c

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

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T16:10:14.879763Z digest=sha256:c634322454e3b83decddb6e48b3ec697c493009da985ff6fd086e8abc9e9db5c

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T16:10:15.045030Z digest=sha256:5895e1e3cc554a7a59c698678879dce9cc6cb530e1870ec97cf10d759c1a09c2

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
verified fuzzy
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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T16:10:15.151419Z digest=sha256:5b4b881b9f9961e6202703f691eee6e860c9ee7adb03ac1aa07491f5e2d435cc

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
unresolved
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=sha256:5360ac3f925f78c767ed24f730bd391154d441d43509de0fbd20ce62962b8955

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:b9446953f2f044cc20f6031a1487d6692eaf66054f6307d84c9b2834600fcec8

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
unresolved
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:db5e8e5699b2cc3fcc94e11ff3b2a6b8f12ce1c0548e913ded7dcebf5cf77e89

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
unresolved
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:c065745d366c821324335dbec616f2f5a19befeffb31b3d9d0f4f4947dcb9021

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

Resolution
verified fuzzy
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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T16:10:15.192943Z digest=sha256:52d09a471daacacccb1f358f0138f532d8c5086872719b8a8f6a71b73ce2661c

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

Resolution
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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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T16:10:15.200146Z digest=sha256:dc907d4c088ee11afc5a1ca0894f801127f687c3119d6349f08adb9bfbcb3a91

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
unresolved
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=sha256:6ab8717db5da3b6b3f5651f6ac9d15ed290a78711c0df6d3617c8ecfdfdcdd4d

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T16:10:15.226189Z digest=sha256:2070975b223eef8b4bacd9f5a2a25c984dda07cee47cab8cbee677463d205c12

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T16:10:15.244668Z digest=sha256:62c11e3022fc4a70d2bd937a8c8db8bf4d3fd1fc52dacd6f76b6efb702de27d9

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
verified fuzzy
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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T16:10:15.252989Z digest=sha256:ee1e9f5c1c9500f7e1fbe05bce7f66957faebef11709d68bbf0cc2126d3946c4

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T16:10:15.259352Z digest=sha256:81089e73ac33505cc164ab52fa659b70c4e71a94fed4384374219dfb2acb211c

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T16:10:15.267737Z digest=sha256:cdc9aa44c41f503302f7ba057ebfee9acce5e3e5ea9e4a3b8d006660bff515ae

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T16:10:15.274510Z digest=sha256:c6315f0653df672238a653aedd55a758b4efa028d7e1a7e143dd320d8d24affc

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
unresolved
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=sha256:970c1196cab6e7a7acfbe136977f128d13f681e38395b050c341fd227ed006f7

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T16:10:15.287214Z digest=sha256:32fa2404db311f4def852993a1d57dcae589b54ad5fe940ec90d82eb32a78356

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
verified fuzzy
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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T16:10:15.296299Z digest=sha256:1dbfd2fb06bddd9f4e77c6d3cc9ae6d774aa0dc1c8c1970675f410eba8202442

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T16:10:15.304205Z digest=sha256:963bd15c9235148f6c8d4fa5d2d2f4a70f01228c50e1d7da92769552167dbcd2

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T16:10:15.328598Z digest=sha256:e3783bf544a93e8715414e06eacad67b21249da5b5bda12788169e32291a00b4

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
verified fuzzy
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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T16:10:15.335868Z digest=sha256:62116f25d40053b0bf624acdfc2f149a0c3e9bb617944a1c2b145c5bcbd35f4a

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
unresolved
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=sha256:0f2f18487ec3c5a52fa9ee807c567581c1d56ac46948c09b36751606dc1e6bd4

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:f73d61010b5f181144c0123dd972b767a7233f6e2ffad00103c3e14fc9bf8765

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
verified fuzzy
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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T16:10:15.361730Z digest=sha256:7dd166d2ab71a1abbefa68cf5783b7e9cfb139ac0b8d86f746b52c386fd94968

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T16:10:15.371237Z digest=sha256:660326667d41a512aa352bc1608d10ee5e506122e5891671bf9c7313f5e3fc1d

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T16:10:15.381784Z digest=sha256:edd9b5d65643a84758c0eeb90858720a66606ea84331e75e336864955951f858

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=sha256:752f3a0a76e93e3fe25fd4181bffeaa14036bc75a141e38e452a182b28dbc14d

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-15T14:12:14.160789Z digest=sha256:42c098f081fdb4bb497d9d574c60b602799561d06a58dfc137a874d493efa8c6

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-10T15:21:56.818914Z digest=sha256:9a905e13931334419b91b554d8be54fe2313ee7c925435adf8cee82eeefd05a4

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-11T01:30:19.859374Z digest=sha256:121d6f0708097eea64103b43bd33c6dbbc2a70130bb6d3ec982e98cb8d2ebd05

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-06-29T21:13:03.346422Z digest=sha256:17e21782fc1900d6dee6dec07ce83bcfdc3d749a3fe4ef559774c586f8e53cb1