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Paper Citation Record · LEDGER

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

As of 15 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 2026-08-15T06:32:42.880941+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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T16:10:11.279363Z digest=sha256:322e635d34c53699063fa92e6ae889eef33d97070eb6274a5b8d8c2c5d30c8e0

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
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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=sha256:88300e85820e3e274b2351fb5be2d56f27f165bc271f3e9710d7ae24e86d44d1

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=sha256:4761859c240228883dfe945e2fec664b02592c80e51753913a54d55c51bbd6df

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T16:10:11.929535Z digest=sha256:b42eb436f828abf714cfefe0f1321e442a87d9a9bd7723ae536d7e23920ae5b6

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T16:10:12.062411Z digest=sha256:40c39c43b6e3260c98e07cf33521387ad7ba3420639f3dadafc45fb5bd4c1359

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T16:10:12.120297Z digest=sha256:874c3404315d5020acdb1abb8782bddaa30f1b9994b9c1c5b37bd738b559d986

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T16:10:12.178231Z digest=sha256:59a5157319c18e4707c61c8ce24500bc4237143874b14629f3084f436a321548

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
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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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T16:10:12.228430Z digest=sha256:9ce3728e55944e824b52ad81d61865c5aad318dea4e566d71ce969ae464320eb

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T16:10:12.293724Z digest=sha256:0a3fab1f82a50d841ea7f2eb56de443064fb38fca77e14cfa6d2fb3da1d931a2

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T16:10:12.407705Z digest=sha256:ab7443abe1b5d5e334e9b9899d29c924d71197a9ae9d56b1bc40642d2f21657a

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T16:10:12.523930Z digest=sha256:29f1664830a4fcf671f7cc3d4640b790d76ebe67b47886de40711c421158895a

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T16:10:12.633188Z digest=sha256:c2723ba10ccdb1710f3845e78e39c998817d30dcfd07cf8f77f0c6176819e4fb

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T16:10:12.748314Z digest=sha256:a2e3c0abac0449ccb4962b695911f37d36e55d0b7fe4b8915e4762666c2b6513

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T16:10:12.865356Z digest=sha256:60fc745f1e5f817e51edd580094d2eda85dbfa8bf0395fa5386ab7ea46727ac5

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T16:10:12.977933Z digest=sha256:fcb7100970b96c544cfa5add953edad5f78dce9b00c83a1c105a718f0c3bb763

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T16:10:13.091403Z digest=sha256:c3b139dd18681335a1b8a53d6b659d4ffc078e4f9504ee8166dbe968b0e28212

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T16:10:13.473517Z digest=sha256:997e35199b1c26f7a08cd644c2cefcdef38c4c0e61072a08d368d0101267b08f

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T16:10:13.552263Z digest=sha256:690a9d2877b52df83e4848a50db0a5403a5cb84df6af0100122aa39976926b12

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T16:10:13.639337Z digest=sha256:8d36639ff76c8026b48121fee2e10e119127eeca4d780a1e5bb114876821505a

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T16:10:13.742384Z digest=sha256:30da01dcb4aeb3b8fe2ea0ebbad8be0e3b67a43d2d1872c486cb2d38eae08bc6

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T16:10:13.821265Z digest=sha256:9a242ec40c5737d50efaca7edb9360352a7e4ae28b7233955d97080729f72942

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T16:10:14.002213Z digest=sha256:b7f8cfd6acc206c99ce4f502f9ba9fa76a178fedf63b2f9d45cff7b831b8a0be

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T16:10:14.139507Z digest=sha256:cb5ff7759a185bdb0762490122c2c88ea240722444c52f4e59911bfcec29dfb2

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T16:10:14.205608Z digest=sha256:657202cb372ae94274efee113ea5b88944ef568da50d0406769a0182aa88baff

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T16:10:14.326742Z digest=sha256:133aa8e8805689a53e541c5597fba0faa67309e1c336f63ac08cb4698096f7e8

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T16:10:14.340105Z digest=sha256:3afb9e0dc334d6057686b6b750769b9a0786e0657e7c41da924680b1e4381d6c

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T16:10:14.552406Z digest=sha256:ea251d3f5f6eff355a15c592d1ab2b8ac090317d8563062ae5f53b5b6d6d0e7b

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
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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

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unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T16:10:14.879763Z digest=sha256:045bf4135d1f5a03c3c4a69123b92c3bd51f099b6304cd895c4e4a53aebbd1c8

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T16:10:15.045030Z digest=sha256:cdaa85ee079909c7d42cd816773603ddefce322b71453311dbef2153103e380f

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T16:10:15.151419Z digest=sha256:1aaaf392a5337567b0988218bb76812ff093d13da8431b36544c8c8c67601a28

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=sha256:25cbe4045ad2c834ba949c087534c6a97874bfaee2b6b0a33a9c5baba99d29d3

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=sha256:09eea1c83da8f874aae95ad0f143fc7eaab790fe47e1c18bd6f25e0075e9b5b4

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=sha256:1fab49e445856894dd43cc6018147cdb2ef8c50853ac8d7b6906639fa4704354

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=sha256:06b98bf20b2613f54f53714ec7be28312493a3a75696c8f70faa21e62ff93c91

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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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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T16:10:15.192943Z digest=sha256:bf6701738ba45d85b1bd0eabf3d8621d29398ee31f960413123af89288ecc01b

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T16:10:15.200146Z digest=sha256:fdf26e65ab1d34e08a37050d40dac1e8581dd52d7f3b14a3224e06e8234a36be

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:f6147853766e9a8d31d2481f1f0ced13ff785a9033a1d61e604fb7a2585e106f

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T16:10:15.226189Z digest=sha256:1d7295d1e12f5559f67ca054326d96cc6590a61f478b369329b4b08e8c7839e3

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T16:10:15.244668Z digest=sha256:c4f58c6d04e00ce2f0581ec42b1184f1a9e1241c06a3690fb8ac9867519e984d

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T16:10:15.252989Z digest=sha256:b3f90b44c4e2e8dd1e15e3d9622e044004b914b7938cf92acd152b2944f265e0

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T16:10:15.259352Z digest=sha256:45d8654a8be166a852483cb44fdc8e0b086ec1ed644daa10b30285243d571fba

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T16:10:15.267737Z digest=sha256:6413d3593a9779291051175fd5da5e75e74cfe2e852903136ce3cd085a532f06

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T16:10:15.274510Z digest=sha256:f101e7afb21f3e906898d24b9f413843a023b086e85e5aeec23bfc9cab981861

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T16:10:15.287214Z digest=sha256:d9fcfa2aa551d4e463123f99c31acc8076f83125902a3c211494b69710094047

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T16:10:15.296299Z digest=sha256:40f6ea037e15977516c4b0a7699d4c1e62cb52538dbd83439e8f5a29f48398d2

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T16:10:15.304205Z digest=sha256:761a0d13105bf390ff8d7cad548a2209d125a41401cfd7cc8c82b0ecac67af7c

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T16:10:15.328598Z digest=sha256:cf37ab09f271edb9e872cba4a9700725b7544c4fb870655088b600ef7b0504f4

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T16:10:15.335868Z digest=sha256:23fa260b6d569c646b936acbc26dae913bd0d3cebb68c4a8b6d74cd1c40bbc54

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=sha256:0f2f18487ec3c5a52fa9ee807c567581c1d56ac46948c09b36751606dc1e6bd4

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T16:10:15.361730Z digest=sha256:91c1c0892db1c275dc0dda52b614481bb8b1577f9f80f7bae27900e874badbef

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T16:10:15.371237Z digest=sha256:d5ebdd973345abd9cde7654bbbe7bd7b4cd8478412b9cf98905cca690a55413b

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T16:10:15.381784Z digest=sha256:9ad3f37eec6dbe1e6b7eeec8d2955277112ca309d8ada92b64d0c289f7181032

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-15T14:12:14.160789Z digest=sha256:83cdade46f668032ddb4a0b7101e4b5aeca345dfc715806c571eb1a6832c33e5

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-10T15:21:56.818914Z digest=sha256:aa6fd328823396b88e86641d0c6360fada206a8ef1a4d81a3959b9d3f10c3d2d

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-11T01:30:19.859374Z digest=sha256:742e0496e444eb26f7f9d5e98d83bdfbabce0404990f8ba2bd7234e134145a25

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-06-29T21:13:03.346422Z digest=sha256:1919d24deeda9f57cc5e7a6dc11350c4a0eb8cdbc23edb4005de4ddef5e9f927