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Paper Citation Record · LEDGER

LightAgent: Production-level Open-source Agentic AI Framework

As of 4 August 2026, this Paper Citation Record lists 63 of 63 outbound references and 3 inbound Pith citation observations for arXiv:2509.09292.

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

pith.paper-citation-record.v1
2509.09292 v1

Coverage vector

measured 63 of 63 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T19:24:27.956603Z

measured 66 of 66 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T05:07:10.609762Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T17:42:42.413630Z

Reference resolution

63 of 63 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved63
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8fa0f59a-af76-46ff-8546-2835600dc55f · outbound

This paper cites Initially, a thor- ough analysis of the problem is required to clarify the key issues and goals, ensuring that subsequent analysis and actions are directed appropriately.

LightAgent: Production-level Open-source Agentic AI Framework Initially, a thor- ough analysis of the problem is required to clarify the key issues and goals, ensuring that subsequent analysis and actions are directed appropriately

Reference 1

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source=pdf_text observed=2026-08-04T19:24:24.278186Z digest=sha256:e5c459528cc15d46bc385bbfa8f16159da62203d243e8b5614f247d217349e90

Observation a96a5b5c-fa99-457b-b4c1-536e46eaf911 · outbound

This paper cites This process involves gathering not only all known data related to the problem but also extending to potential sources that may impact the solution.

LightAgent: Production-level Open-source Agentic AI Framework This process involves gathering not only all known data related to the problem but also extending to potential sources that may impact the solution

Reference 2

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source=pdf_text observed=2026-08-04T19:24:24.318247Z digest=sha256:c6d67251aa5604e6b465bff5cef6a14575fc0565bfb8d86caab092485d30ae25

Observation 98fba77e-8397-4448-9d00-8a3dd14790a7 · outbound

This paper cites This step helps to decompose the large problem into smaller, more manageable parts, allowing for a more detailed analysis.

LightAgent: Production-level Open-source Agentic AI Framework This step helps to decompose the large problem into smaller, more manageable parts, allowing for a more detailed analysis

Reference 3

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source=pdf_text observed=2026-08-04T19:24:24.355559Z digest=sha256:c6344870c8d4045685a3ec862c8768f444fe392a90840fec88e247d82c52a929

Observation 6584c37b-c069-4f07-b312-a5b316683506 · outbound

This paper cites This phase ensures that the problem is examined thoroughly from multiple viewpoints to avoid overlooking any critical factors.

LightAgent: Production-level Open-source Agentic AI Framework This phase ensures that the problem is examined thoroughly from multiple viewpoints to avoid overlooking any critical factors

Reference 4

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source=pdf_text observed=2026-08-04T19:24:24.400038Z digest=sha256:a6dc96009828ad370fc4b2e1449dda0cda78f4122a0b4a8380949108b27a3279

Observation 15940d97-bab7-4b87-bb4c-a60728603982 · outbound

This paper cites This step reveals the inherent connections between issues, providing a foundation for integrating and optimizing solutions.

LightAgent: Production-level Open-source Agentic AI Framework This step reveals the inherent connections between issues, providing a foundation for integrating and optimizing solutions

Reference 5

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source=pdf_text observed=2026-08-04T19:24:24.448827Z digest=sha256:da21eaced6f2caed818bb82b35b21c1d4d540d7f9938c711889684886050de87

Observation 3626e0cb-1e3b-4182-96a9-dd534bb2d1d2 · outbound

This paper cites This process emphasizes creative thinking to generate multiple response strategies, offering a range of options for decision-making.

LightAgent: Production-level Open-source Agentic AI Framework This process emphasizes creative thinking to generate multiple response strategies, offering a range of options for decision-making

Reference 6

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source=pdf_text observed=2026-08-04T19:24:24.488534Z digest=sha256:e4a571d16ff78d57a039960d5ab7910b7e682efbba3395db783861a427fe1e92

Observation f4d2368b-6699-48cf-8744-3a3d373d857b · outbound

This paper cites "" 9␣␣␣␣Search␣news␣based␣on␣keywords 10␣␣␣␣.

LightAgent: Production-level Open-source Agentic AI Framework "" 9␣␣␣␣Search␣news␣based␣on␣keywords 10␣␣␣␣

Reference 7

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Observation 84874a04-b834-4bc5-b0d2-2b427bdae49c · outbound

This paper cites qwen-turbo-2024-11-01.

LightAgent: Production-level Open-source Agentic AI Framework qwen-turbo-2024-11-01

Reference 8

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Observation 1b2fa217-e88e-4c68-8585-d79062868cbf · outbound

This paper cites This phase focuses on assessing both the practical effectiveness and long-term consequences of each solution.

LightAgent: Production-level Open-source Agentic AI Framework This phase focuses on assessing both the practical effectiveness and long-term consequences of each solution

Reference 9

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source=pdf_text observed=2026-08-04T19:24:24.511806Z digest=sha256:5e3f3cbf07635b1423236510a64fd3f90cc3f5dd2acf63371814f7210a10b875

Observation 15e4769c-76c1-4be1-9899-93864eeba2c8 · outbound

This paper cites W., & Karnouskos, S.

LightAgent: Production-level Open-source Agentic AI Framework W., & Karnouskos, S

Reference 10

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source=pdf_text observed=2026-08-04T19:24:24.969119Z digest=sha256:6562f13f7ecb1be869ff8c9432217a6e8f8c7518895e90247c958cbf92275659

Observation ca7f526a-ca69-4a13-ac33-1d5533ef6840 · outbound

This paper cites GPT-4 Technical Report.

LightAgent: Production-level Open-source Agentic AI Framework GPT-4 Technical Report

Reference 11

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source=pdf_text observed=2026-08-04T19:24:24.565530Z digest=sha256:95c66ca6da05b07ccdad06afe6e381dc23887a8f4daa3f851024970ab9867538

Observation 8ad1e581-2a47-44a1-a0c3-1c280384d85b · outbound

This paper cites an unresolved cited work.

LightAgent: Production-level Open-source Agentic AI Framework Unresolved cited work

Reference 13

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source=pdf_text observed=2026-08-04T19:24:24.612990Z digest=sha256:8e746d2c28ce8476b962e6344b135d7ebdaa6ad5956db9b3799d4c5b8731c55b

Observation 79c28152-0f9e-45bb-be59-c344c7620ddc · outbound

This paper cites Qwen Technical Report.

LightAgent: Production-level Open-source Agentic AI Framework Qwen Technical Report

Reference 14

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source=pdf_text observed=2026-08-04T19:24:24.630447Z digest=sha256:04674ee0eead34145c18d72180fab17ced68694af8e795047098b127d7a0e3f4

Observation 5101240a-7a64-4f23-b990-0db298989f59 · outbound

This paper cites AutoAgents: A Framework for Automatic Agent Generation.

LightAgent: Production-level Open-source Agentic AI Framework AutoAgents: A Framework for Automatic Agent Generation

Reference 15

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source=pdf_text observed=2026-08-04T19:24:24.659105Z digest=sha256:f9b0c9e6a58a74bf5099c48d3b0ebf5340fdccc20790066f1f5112b1e1aead51

Observation 3acdf204-d377-474a-bb36-90762896fe77 · outbound

This paper cites an unresolved cited work.

LightAgent: Production-level Open-source Agentic AI Framework Unresolved cited work

Reference 16

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source=pdf_text observed=2026-08-04T19:24:24.722198Z digest=sha256:08706072aa78a851c194b481a8562fb89a3188cb67167543cd8e24dfecbca70e

Observation 21e78185-afde-4196-a4dd-a953f144d979 · outbound

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

LightAgent: Production-level Open-source Agentic AI Framework MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework

Reference 17

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source=pdf_text observed=2026-08-04T19:24:24.785427Z digest=sha256:859530c335688bce7a393d59a49d3aedd4c4c94f7aad09103e805efe3ef758a7

Observation 8e4e3f2e-db63-4168-842a-6f4b3dcae3b3 · outbound

This paper cites an unresolved cited work.

LightAgent: Production-level Open-source Agentic AI Framework Unresolved cited work

Reference 18

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source=pdf_text observed=2026-08-04T19:24:24.820556Z digest=sha256:c2706e1996c55ec02c873080ceeb2dbbf2d3baeb3f6e579ee1992339dc0ce0c2

Observation 371a0f67-f893-4e20-abbd-34720ea6870d · outbound

This paper cites an unresolved cited work.

LightAgent: Production-level Open-source Agentic AI Framework Unresolved cited work

Reference 19

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Observation fb441f93-a811-4a6d-9352-a172f1ce0f0e · outbound

This paper cites an unresolved cited work.

LightAgent: Production-level Open-source Agentic AI Framework Unresolved cited work

Reference 20

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Observation 22d658b0-6430-42db-9b6a-5c41c60fa1ff · outbound

This paper cites an unresolved cited work.

LightAgent: Production-level Open-source Agentic AI Framework Unresolved cited work

Reference 21

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Observation e7a010b2-ee8d-481d-b8a8-68bd8ffb2188 · outbound

This paper cites an unresolved cited work.

LightAgent: Production-level Open-source Agentic AI Framework Unresolved cited work

Reference 22

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Observation b7f1f3ba-34f5-4159-a3c5-db96e0aa27fd · outbound

This paper cites an unresolved cited work.

LightAgent: Production-level Open-source Agentic AI Framework Unresolved cited work

Reference 23

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source=pdf_text observed=2026-08-04T19:24:25.130894Z digest=sha256:54076b742f92b25c830054c123b0e0116185eb78f3c483a07e09eafcb323039a

Observation ee2290c2-428b-4d55-acba-ad339c866598 · outbound

This paper cites an unresolved cited work.

LightAgent: Production-level Open-source Agentic AI Framework Unresolved cited work

Reference 24

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source=pdf_text observed=2026-08-04T19:24:25.194910Z digest=sha256:acee84fd958287fbb4c1bd9b8a8dace044a90816d94873eef7c02e8c41bc062b

Observation 4783445d-4a18-4d03-8dea-cd9c58b38c98 · outbound

This paper cites DeepSeek-V3 Technical Report.

LightAgent: Production-level Open-source Agentic AI Framework DeepSeek-V3 Technical Report

Reference 25

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Observation 3cc82d19-35ac-4ff8-a7ca-c626cc71c4ef · outbound

This paper cites an unresolved cited work.

LightAgent: Production-level Open-source Agentic AI Framework Unresolved cited work

Reference 26

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Observation 0f493465-3b8e-418b-89b7-b50b71e46757 · outbound

This paper cites an unresolved cited work.

LightAgent: Production-level Open-source Agentic AI Framework Unresolved cited work

Reference 27

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Observation acb58f22-7576-4ad0-854d-b4998ec395d1 · outbound

This paper cites J., Oliveira, E., & Jorge, A.

LightAgent: Production-level Open-source Agentic AI Framework J., Oliveira, E., & Jorge, A

Reference 28

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Observation 2b778cb4-695b-49b9-a39c-fd6e43cb89dd · outbound

This paper cites an unresolved cited work.

LightAgent: Production-level Open-source Agentic AI Framework Unresolved cited work

Reference 29

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source=pdf_text observed=2026-08-04T19:24:25.458163Z digest=sha256:0e5cdc7920910d58f095f4c199b84be0ce6e0d7f35eb9b33611ce6e4546d29b8

Observation 15737016-3c2a-44f7-ad2f-767de63abe67 · outbound

This paper cites ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools.

LightAgent: Production-level Open-source Agentic AI Framework ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools

Reference 30

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Observation 9d37f5f9-747b-47ce-ab7d-82ae13b5e729 · outbound

This paper cites S., O’Brien, J.

LightAgent: Production-level Open-source Agentic AI Framework S., O’Brien, J

Reference 31

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source=pdf_text observed=2026-08-04T19:24:25.573594Z digest=sha256:ccb0238a66ca867906b353a44d1fd681052ca8f51b9fc69fc494d2ec1515be4e

Observation 8da30c46-16ab-4f8e-8625-40f1027ebcda · outbound

This paper cites an unresolved cited work.

LightAgent: Production-level Open-source Agentic AI Framework Unresolved cited work

Reference 32

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source=pdf_text observed=2026-08-04T19:24:25.657320Z digest=sha256:cd76e650db562b7c7c9f6907dc6fec716428ad8bcb4023ccd8b237cf5bd767d2

Observation a67d6d0f-5ad0-401c-8de8-adc2f8eb0d33 · outbound

This paper cites an unresolved cited work.

LightAgent: Production-level Open-source Agentic AI Framework Unresolved cited work

Reference 33

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Observation 5267f626-7f0a-41e5-b98d-6b03aec258e4 · outbound

This paper cites an unresolved cited work.

LightAgent: Production-level Open-source Agentic AI Framework Unresolved cited work

Reference 34

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source=pdf_text observed=2026-08-04T19:24:25.821378Z digest=sha256:79e1e24d258c318ccce2ab737df1198d7afff9acf135e0ed1065dcd0e6ac00db

Observation d162b20e-7b6e-4981-b272-f6d7d39e924e · outbound

This paper cites an unresolved cited work.

LightAgent: Production-level Open-source Agentic AI Framework Unresolved cited work

Reference 35

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Observation 1a7304f4-8393-4c44-831c-6d248b50c5bc · outbound

This paper cites ur ein Laue-Neutroneninterferometer Teil 1: Dynamische Beugung(Report No. AIAU 74405b). Atominstitut der.

LightAgent: Production-level Open-source Agentic AI Framework ur ein Laue-Neutroneninterferometer Teil 1: Dynamische Beugung(Report No. AIAU 74405b). Atominstitut der

Reference 36

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Observation d5ddc2fd-2b7c-4be8-b41d-4ff21d99baad · outbound

This paper cites A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions.

LightAgent: Production-level Open-source Agentic AI Framework A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions

Reference 37

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Observation abc83901-252e-430a-8424-7119257ee654 · outbound

This paper cites an unresolved cited work.

LightAgent: Production-level Open-source Agentic AI Framework Unresolved cited work

Reference 38

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Observation 5a7b1f66-ff95-430b-ab7c-b92df62b650e · outbound

This paper cites an unresolved cited work.

LightAgent: Production-level Open-source Agentic AI Framework Unresolved cited work

Reference 39

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Observation e251be89-7e15-44f4-a1c4-6b37616b17ac · outbound

This paper cites an unresolved cited work.

LightAgent: Production-level Open-source Agentic AI Framework Unresolved cited work

Reference 40

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source=pdf_text observed=2026-08-04T19:24:26.976328Z digest=sha256:6e869bbf1b8d43839f72c47335103e8f1bdd50b9e1fd1d2e423d913c607e602b

Observation 1300aa82-ee75-4fe6-be02-0323bbadc725 · outbound

This paper cites an unresolved cited work.

LightAgent: Production-level Open-source Agentic AI Framework Unresolved cited work

Reference 41

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Observation db97649e-cb3c-4d07-a98b-fa8a2b7ea65f · outbound

This paper cites an unresolved cited work.

LightAgent: Production-level Open-source Agentic AI Framework Unresolved cited work

Reference 42

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source=pdf_text observed=2026-08-04T19:24:26.330927Z digest=sha256:e9ca312e589323e233ae73885e20e73d5d74ffed06bf91ddca4fc074dc9ad7c2

Observation 6257af6e-8e18-49fb-8d59-861f559d6255 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

LightAgent: Production-level Open-source Agentic AI Framework LLaMA: Open and Efficient Foundation Language Models

Reference 43

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source=pdf_text observed=2026-08-04T19:24:26.394307Z digest=sha256:43c02b2719b35d5e17673f0381bb70b86efbf534f02a6febe4b6064087872ddf

Observation 7a78c482-9325-48f8-933d-968347c2c5ac · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

LightAgent: Production-level Open-source Agentic AI Framework Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 44

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source=pdf_text observed=2026-08-04T19:24:26.471983Z digest=sha256:9b4e0689257bb8a050cb7470c73e58e3b9ae77ffebbf052e3511502af5badb94

Observation 3feca3d6-e524-4fb1-bca2-07efe82bd8f1 · outbound

This paper cites A Survey on Large Language Model based Autonomous Agents.

LightAgent: Production-level Open-source Agentic AI Framework A Survey on Large Language Model based Autonomous Agents

Reference 45

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source=pdf_text observed=2026-08-04T19:24:26.576744Z digest=sha256:61a983aca2e7f159e2cc05ccf2391d8972a4fbbc6070e2671fc9a8e4f94efc76

Observation e9c498ad-2ab9-49ab-85aa-d303366466dd · outbound

This paper cites an unresolved cited work.

LightAgent: Production-level Open-source Agentic AI Framework Unresolved cited work

Reference 46

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source=pdf_text observed=2026-08-04T19:24:26.652418Z digest=sha256:f022ade14dfbe8d75cf5eeac28c9509ad9f80378fca6bd5e261cfdb45d6277c5

Observation fbb6f31b-6dff-4409-992e-6a3da0a9c284 · outbound

This paper cites (2009).An introduction to multiagent systems.

LightAgent: Production-level Open-source Agentic AI Framework (2009).An introduction to multiagent systems

Reference 47

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source=pdf_text observed=2026-08-04T19:24:26.751845Z digest=sha256:49ca785b7a35e18a5faaaf9173b8ea3b7981de604f3ac5f245e0a19fac0d4e7b

Observation bee95b2d-2d01-45d2-ba19-7e8bab64b726 · outbound

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

LightAgent: Production-level Open-source Agentic AI Framework AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation

Reference 48

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source=pdf_text observed=2026-08-04T19:24:26.828072Z digest=sha256:00f1957b60cd80bfa7cae6e0b81e650f6b2bfe08d27c26d6642a4d94dcdd97a3

Observation 387123e8-5a11-4827-b0e4-e026ef5517f3 · outbound

This paper cites an unresolved cited work.

LightAgent: Production-level Open-source Agentic AI Framework Unresolved cited work

Reference 49

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source=pdf_text observed=2026-08-04T19:24:26.895749Z digest=sha256:52b483e624c8d1a23abd5cee03d5c6ead23d57f92428f11c45ba44e1f31339b8

Observation 6d67871c-efbf-4db0-85fc-60fc0b700e5a · outbound

This paper cites The Rise and Potential of Large Language Model Based Agents: A Survey.

LightAgent: Production-level Open-source Agentic AI Framework The Rise and Potential of Large Language Model Based Agents: A Survey

Reference 51

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source=pdf_text observed=2026-08-04T19:24:27.036017Z digest=sha256:f9a18c4a89aa27a2e673bc5fd3deb2d6efe6981236e77bd22f558135c489f351

Observation a085686d-ecbb-4a1d-be2b-d35dbb91227b · outbound

This paper cites ReAct: Synergizing Reasoning and Acting in Language Models.

LightAgent: Production-level Open-source Agentic AI Framework ReAct: Synergizing Reasoning and Acting in Language Models

Reference 52

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source=pdf_text observed=2026-08-04T19:24:27.076704Z digest=sha256:f934af75c2e758668ce71978ad4b9d7bd75080f7c67a52129cca23120d11bfc7

Observation 1fc1cb84-74bb-4359-a876-43a59b6c2ba4 · outbound

This paper cites an unresolved cited work.

LightAgent: Production-level Open-source Agentic AI Framework Unresolved cited work

Reference 53

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source=pdf_text observed=2026-08-04T19:24:27.146937Z digest=sha256:97cd6705d6b0f67fafffca7346de5a9f415924ee385109b77ec4623031365fc9

Observation e5933ff6-b7bb-4bf9-a1b2-a976616b4bed · outbound

This paper cites Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language Models.

LightAgent: Production-level Open-source Agentic AI Framework Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language Models

Reference 54

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source=pdf_text observed=2026-08-04T19:24:27.204336Z digest=sha256:6744f1f5bdf5dcf7fdbc8c5d4b2acdb49eea14bda66f2ea5b3a2de164410a6c9

Observation c7233a6f-6bcf-4a32-b588-120bcaaefb7c · outbound

This paper cites Hawaii␣of␣the␣East,.

LightAgent: Production-level Open-source Agentic AI Framework Hawaii␣of␣the␣East,

Reference 71

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source=pdf_text observed=2026-08-04T19:24:27.266219Z digest=sha256:28d4256d137de070455c0e30ab79a7693ad9d252c94dc23c35e2ae6a3a143b5e

Observation 7f566c4e-9421-4d04-bc11-7eea8977b94f · outbound

This paper cites Tianya" and.

LightAgent: Production-level Open-source Agentic AI Framework Tianya" and

Reference 92

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source=pdf_text observed=2026-08-04T19:24:27.325619Z digest=sha256:9ce3dd2a8ec0512097ca79c2d4515b6e0286194981aef3b8e67e6e32607ab9ca

Observation 036319bc-d338-4542-b0f5-a000604758c2 · outbound

This paper cites Visitors can experience Buddhist culture and visit temples and gardens.

LightAgent: Production-level Open-source Agentic AI Framework Visitors can experience Buddhist culture and visit temples and gardens

Reference 113

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source=pdf_text observed=2026-08-04T19:24:27.385534Z digest=sha256:7166c39f3cafbc5e7c5c5eaafffc3a237483682fae984674ebae6ba4a7b5e576

Observation 2b50f3f8-3a05-465a-b737-e753ab4205f1 · outbound

This paper cites Visitors can engage in diving, snorkeling, and sea fishing among other activities.

LightAgent: Production-level Open-source Agentic AI Framework Visitors can engage in diving, snorkeling, and sea fishing among other activities

Reference 134

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source=pdf_text observed=2026-08-04T19:24:27.460532Z digest=sha256:2fd903462caa3a6582bfbf48bc8c778e2a58bbff7e0cf4982a560db86e423aa1

Observation 9ebd18d9-ee9b-4e71-a47d-923932f7eaf7 · outbound

This paper cites an unresolved cited work.

LightAgent: Production-level Open-source Agentic AI Framework Unresolved cited work

Reference 155

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source=pdf_text observed=2026-08-04T19:24:27.522099Z digest=sha256:3dd6ae9a5cdd89448eba8742af9f74bed4ea305cb06c2ef52a9d967dbfa4aba3

Observation f870b085-b46e-44cd-8f20-91d1ba059481 · outbound

This paper cites This beach is relatively quiet, suitable for visitors who enjoy tranquility.

LightAgent: Production-level Open-source Agentic AI Framework This beach is relatively quiet, suitable for visitors who enjoy tranquility

Reference 176

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source=pdf_text observed=2026-08-04T19:24:27.600257Z digest=sha256:3a413bdb6de42c6e9bbcc3570791f9f2f4dfcdf0b27d066209b3c4c926dcc2cf

Observation 97e3102b-53ea-4fab-9e3d-da3ee71ce385 · outbound

This paper cites an unresolved cited work.

LightAgent: Production-level Open-source Agentic AI Framework Unresolved cited work

Reference 197

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source=pdf_text observed=2026-08-04T19:24:27.669724Z digest=sha256:cc818048d2c3ea7bd271b449d097e47a44a3d965e1f731df5527942918f2c84b

Observation 3868fb5e-7b94-4010-a83a-5b834d9950e6 · outbound

This paper cites There is also a beautiful legend about a deer.

LightAgent: Production-level Open-source Agentic AI Framework There is also a beautiful legend about a deer

Reference 218

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source=pdf_text observed=2026-08-04T19:24:27.734610Z digest=sha256:d10e44e4cd852adeb4514191304bef3ed50ee3aac54d4ea7d9668305f276c961

Observation 62ab3686-84b3-491c-8520-e3b62fbe92d0 · outbound

This paper cites an unresolved cited work.

LightAgent: Production-level Open-source Agentic AI Framework Unresolved cited work

Reference 239

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source=pdf_text observed=2026-08-04T19:24:27.848202Z digest=sha256:7daeef88abfe0a5496b469a1f8181cb67b4fb5c40d3d1de3ec65fd44477ae052

Observation 674f5257-e1e1-4b49-af84-4a6d028e4fdf · outbound

This paper cites gpt-4o-mini.

LightAgent: Production-level Open-source Agentic AI Framework gpt-4o-mini

Reference 2024

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source=pdf_text observed=2026-08-04T19:24:24.246111Z digest=sha256:dd002efe75218b57198da86dd80b41175cc26c2adeb145405fa7aba3a966ccc4

Observation b995cbf7-4940-4280-b30e-e3b5b67a8677 · outbound

This paper cites Hawaii␣of␣the␣East,.

LightAgent: Production-level Open-source Agentic AI Framework Hawaii␣of␣the␣East,

Reference 2510

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source=pdf_text observed=2026-08-04T19:24:27.956603Z digest=sha256:2c1bcaae03617cb51809ae5a13e48086c240064197f1a5075d00d9677421c837

Pith citing papers

Observation 28c0410d-25a4-4c55-afae-a56bb316ae32 · inbound

ShadowMerge: A Novel Poisoning Attack on Graph-Based Agent Memory via Relation-Channel Conflicts cites this paper.

ShadowMerge: A Novel Poisoning Attack on Graph-Based Agent Memory via Relation-Channel Conflicts LightAgent: Production-level Open-source Agentic AI Framework

Reference 37

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arxiv_id, observed 2026-05-15T06:09:49.272930Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-15T06:09:36.338641Z digest=sha256:e4c26565c708746180b32e2edfb67fb9f9a2f30d463c5e203540bd7a523fdf57

Observation 62c8cd61-22e2-40b0-89ba-39809e44a500 · inbound

ShadowMerge: A Novel Poisoning Attack on Graph-Based Agent Memory via Relation-Channel Conflicts cites this paper.

ShadowMerge: A Novel Poisoning Attack on Graph-Based Agent Memory via Relation-Channel Conflicts LightAgent: Production-level Open-source Agentic AI Framework

Reference 37

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arxiv_id, observed 2026-05-19T17:42:42.415912Z

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-19T17:38:45.919637Z digest=sha256:43a0710d9a0bf87f9ed5f28b0fb0c23c21cb2df96d5fbfbdafd4c8026692c551

Observation 3e8e429b-4fc9-491d-988d-e2475179da7f · inbound

MyAG: A Graph-Based Framework for Designing and Analyzing Composable LLM Agent Systems cites this paper.

MyAG: A Graph-Based Framework for Designing and Analyzing Composable LLM Agent Systems LightAgent: Production-level Open-source Agentic AI Framework

Reference 19

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source=arxiv_source observed=2026-08-02T05:07:10.609762Z digest=sha256:3bbf661b08f5991dab9182b463720b3cdf49bb34b1b5284e9e57168498bced00