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Paper Citation Record · LEDGER

Harnessing Multi-Agent LLMs for Complex Engineering Problem-Solving: A Framework for Senior Design Projects

As of 16 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 2 inbound Pith citation observations for arXiv:2501.01205.

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

pith.paper-citation-record.v1
2501.01205 v1

Coverage vector

measured 37 of 37 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:36:01.099206Z

measured 39 of 39 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-29T11:41:30.827427Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T11:43:23.567307Z

Reference resolution

37 of 37 outbound references displayed

  • verified exact1
  • verified fuzzy24
  • unresolved12
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 06839ff3-882f-4165-bc5c-f32e759c8cda · outbound

This paper cites Work in progress: Perception of complex engineering problem among capstone design students,.

Harnessing Multi-Agent LLMs for Complex Engineering Problem-Solving: A Framework for Senior Design Projects Work in progress: Perception of complex engineering problem among capstone design students,

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:36:01.615816Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T22:36:00.953747Z digest=sha256:066815df27d20be79cc95ea232e4a0c17d59db1908309b84bfdc91928441c3f4

Observation 333a5e62-44f5-402b-a489-1291227962aa · outbound

This paper cites Engineering education, moving into 2020s: Essential competencies for effective 21st century electrical & computer engineers,.

Harnessing Multi-Agent LLMs for Complex Engineering Problem-Solving: A Framework for Senior Design Projects Engineering education, moving into 2020s: Essential competencies for effective 21st century electrical & computer engineers,

Reference 2

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verified fuzzy
raw_fallback, observed 2026-08-10T22:36:01.603893Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T22:36:00.957975Z digest=sha256:c1f76fa7ea27b7b1055bd0795c2bbbdf742e1b444019f356cc7a978bea891358

Observation 6605d513-4d59-4e5f-a167-50d02dafef52 · outbound

This paper cites A student primer on how to thrive in en- gineering education during and beyond COVID-19,.

Harnessing Multi-Agent LLMs for Complex Engineering Problem-Solving: A Framework for Senior Design Projects A student primer on how to thrive in en- gineering education during and beyond COVID-19,

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:36:01.591233Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T22:36:00.961847Z digest=sha256:0ba33063e647c5183d5dae26796663120da626bf0cf8a21907806c7b81c11401

Observation 4c971066-ac27-4373-a975-90a79d6f787f · outbound

This paper cites Engineering education in the era of ChatGPT: Promise and pitfalls of generative AI for education,.

Harnessing Multi-Agent LLMs for Complex Engineering Problem-Solving: A Framework for Senior Design Projects Engineering education in the era of ChatGPT: Promise and pitfalls of generative AI for education,

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:36:01.580039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T22:36:00.965675Z digest=sha256:fe691ceea7dc410fef0814c75217f7150ce41bdb7540ef14dc44b05ca6f54f81

Observation 24abab17-2f8b-4930-afae-a971f144f41d · outbound

This paper cites Generative artificial in- telligence and engineering education.

Harnessing Multi-Agent LLMs for Complex Engineering Problem-Solving: A Framework for Senior Design Projects Generative artificial in- telligence and engineering education

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:36:01.568875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T22:36:00.969635Z digest=sha256:a1fa402d66883ea59912ddbfe51e79f35e14387dd9b48012dc091001cb1fce20

Observation 5fed2d35-3ad6-42bb-8fc1-3871bf8335b1 · outbound

This paper cites The process of solving complex problems,.

Harnessing Multi-Agent LLMs for Complex Engineering Problem-Solving: A Framework for Senior Design Projects The process of solving complex problems,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:36:01.556883Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T22:36:00.973461Z digest=sha256:88a604de177c0c613cad0ee083a94e0cac23136b83a046298a90c291e7373004

Observation be6f8df9-7a25-4d19-b044-9c97b7d7604d · outbound

This paper cites Definitions, traditions, and a general frame- work for understanding complex problem solving,.

Harnessing Multi-Agent LLMs for Complex Engineering Problem-Solving: A Framework for Senior Design Projects Definitions, traditions, and a general frame- work for understanding complex problem solving,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:36:01.544476Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T22:36:00.977518Z digest=sha256:c2b223c0cc13da071cecc622fcc07f10406f3b4ececb708dc426fa9de2c52c74

Observation 6c24a416-d848-42ed-8580-4cd7b1ec8557 · outbound

This paper cites an unresolved cited work.

Harnessing Multi-Agent LLMs for Complex Engineering Problem-Solving: A Framework for Senior Design Projects Unresolved cited work

Reference 8

Resolution
unresolved
raw_fallback, observed 2026-08-10T22:36:01.531790Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T22:36:00.981109Z digest=sha256:9a08dd9d821f48e00a14f52a8e6859b236512b5eb903070a3561f77390dec96f

Observation 06e81b3a-e21f-4bef-b4ea-7968da9cb2dc · outbound

This paper cites Surowiecki, The Wisdom of Crowds: Why the Many Are Smarter Than the Few and How Collective Wisdom Shapes Business, Economies, Societies, and Nations.

Harnessing Multi-Agent LLMs for Complex Engineering Problem-Solving: A Framework for Senior Design Projects Surowiecki, The Wisdom of Crowds: Why the Many Are Smarter Than the Few and How Collective Wisdom Shapes Business, Economies, Societies, and Nations

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:36:01.519540Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T22:36:00.984926Z digest=sha256:8b8d2a062a29eefa6c9d10fbc979dfb88c84a089fdeb41285509c950a80fb9f5

Observation 77b5426e-cb43-4123-89b3-9be6b1322d08 · outbound

This paper cites Wooldridge, An introduction to multiagent systems.

Harnessing Multi-Agent LLMs for Complex Engineering Problem-Solving: A Framework for Senior Design Projects Wooldridge, An introduction to multiagent systems

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:36:01.507386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T22:36:00.988930Z digest=sha256:e48362619fff5766e06fe2d057cc4c0fac50a696243bc3470a008321b002f88f

Observation c3dca23e-8744-47ef-a4e7-ba59b70702c1 · outbound

This paper cites an unresolved cited work.

Harnessing Multi-Agent LLMs for Complex Engineering Problem-Solving: A Framework for Senior Design Projects Unresolved cited work

Reference 11

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raw_fallback, observed 2026-08-10T22:36:01.496624Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T22:36:00.993931Z digest=sha256:c57803ed3f9d48bbd13d49b81256d5c388b4c7e64e2e1768661cdd50e32e816b

Observation 7d0a1dfe-54f4-4ff1-9b56-f5517c38d177 · outbound

This paper cites Minsky, The Society of Mind.

Harnessing Multi-Agent LLMs for Complex Engineering Problem-Solving: A Framework for Senior Design Projects Minsky, The Society of Mind

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:36:01.484615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T22:36:00.997730Z digest=sha256:0cb01740920ed388e014be6be983a2ba9f98ded73aa181c936951f84b30149b6

Observation aca41248-43d2-43b9-ba7b-936be7b1af75 · outbound

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

Harnessing Multi-Agent LLMs for Complex Engineering Problem-Solving: A Framework for Senior Design Projects A survey on large language model based autonomous agents,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:36:01.472623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T22:36:01.001755Z digest=sha256:e4a536c233a926078fd1c820d41bfa8ed4bdef1a53a3e0aeb13e94b8d7462443

Observation 9d3a5e10-4dfe-488c-9f8f-66ba9ea91f7c · outbound

This paper cites Large Language Model based Multi-Agents: A Survey of Progress and Challenges.

Harnessing Multi-Agent LLMs for Complex Engineering Problem-Solving: A Framework for Senior Design Projects Large Language Model based Multi-Agents: A Survey of Progress and Challenges

Reference 14

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no resolver link, observed 2026-08-10T22:36:01.005373Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:36:01.005373Z digest=sha256:58a8710722905316c5327dfb5d2525d5348bf6d735bd1a1c900e67edefc00ab9

Observation 47b910fb-4ae7-4392-9913-d1b38e86342f · outbound

This paper cites Camel: Communicative agents for “mind.

Harnessing Multi-Agent LLMs for Complex Engineering Problem-Solving: A Framework for Senior Design Projects Camel: Communicative agents for “mind

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:36:01.461066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T22:36:01.009822Z digest=sha256:727868a3915c4d8371aa21febf1754a230eab5390f4e6d0d4ad89ef18603ae89

Observation 6f1e62c2-09df-4637-b354-094b470bf08a · outbound

This paper cites MegaAgent: A Large-Scale Autonomous LLM-based Multi-Agent System Without Predefined SOPs.

Harnessing Multi-Agent LLMs for Complex Engineering Problem-Solving: A Framework for Senior Design Projects MegaAgent: A Large-Scale Autonomous LLM-based Multi-Agent System Without Predefined SOPs

Reference 16

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no resolver link, observed 2026-08-10T22:36:01.013642Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:36:01.013642Z digest=sha256:6a25eb8bfa97bda8e8e8b62bd784b8ee30ea4f37f1bc9b77f14ffa83052f0127

Observation 0feaf067-ef35-4aa5-be2a-7d1b31db1740 · outbound

This paper cites Unleashing the Emergent Cognitive Synergy in Large Language Models: A Task-Solving Agent through Multi-Persona Self-Collaboration.

Harnessing Multi-Agent LLMs for Complex Engineering Problem-Solving: A Framework for Senior Design Projects Unleashing the Emergent Cognitive Synergy in Large Language Models: A Task-Solving Agent through Multi-Persona Self-Collaboration

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-10T22:36:01.018272Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:36:01.018272Z digest=sha256:6275846a73bb538530bda52ad52196625c43b26b14c6cee28dd847670600369f

Observation 563c1881-4202-48eb-90b0-ee4d38a78e09 · outbound

This paper cites Crew.ai: An open-source multi-agent orchestration frame- work,.

Harnessing Multi-Agent LLMs for Complex Engineering Problem-Solving: A Framework for Senior Design Projects Crew.ai: An open-source multi-agent orchestration frame- work,

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:36:01.449306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T22:36:01.022390Z digest=sha256:fdbc341bbe1a336d901d5b22e00efa0e5f1790d4ad748e04f4ddd658476ab628

Observation 31ee44f2-1294-43cc-8778-7c0c625921fe · outbound

This paper cites Very Large-Scale Multi-Agent Simulation in AgentScope.

Harnessing Multi-Agent LLMs for Complex Engineering Problem-Solving: A Framework for Senior Design Projects Very Large-Scale Multi-Agent Simulation in AgentScope

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-10T22:36:01.026321Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:36:01.026321Z digest=sha256:c2a56faac28dc5d83c72ca47d40e1ecfe391ab137dea37ce2e726b1114a0127e

Observation 569056e3-f46a-4830-b5ce-0a8ea4c2e6bf · outbound

This paper cites OpenAgents: An Open Platform for Language Agents in the Wild.

Harnessing Multi-Agent LLMs for Complex Engineering Problem-Solving: A Framework for Senior Design Projects OpenAgents: An Open Platform for Language Agents in the Wild

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-10T22:36:01.030620Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:36:01.030620Z digest=sha256:358445b0e11d2318bc9a9fe574f3ae92f58a3fbc5c74aee018972bfee3562a48

Observation 61dead9e-c17f-487e-8f54-d1fe07ff24a7 · outbound

This paper cites Agent lumos: Unified and modular training for open- source language agents,.

Harnessing Multi-Agent LLMs for Complex Engineering Problem-Solving: A Framework for Senior Design Projects Agent lumos: Unified and modular training for open- source language agents,

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:36:01.432715Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T22:36:01.035341Z digest=sha256:2fa6b289a414b5305e6ccd89cb02bd92161ba12fc822df637c47201677d5e814

Observation 89f2dd40-f4f0-4135-9915-c5f1ecbaabf2 · outbound

This paper cites [Online].

Harnessing Multi-Agent LLMs for Complex Engineering Problem-Solving: A Framework for Senior Design Projects [Online]

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:36:01.419009Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T22:36:01.039646Z digest=sha256:6e5c921aec2ee201a3f68b2b74c95bf8a6cac5392b1b5082d407ead8c372fbcb

Observation bd552eef-5fae-45e4-b6a7-6a274df2f36c · outbound

This paper cites [Online].

Harnessing Multi-Agent LLMs for Complex Engineering Problem-Solving: A Framework for Senior Design Projects [Online]

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:36:01.406557Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T22:36:01.043517Z digest=sha256:4de1ec07fdefac90af7be77c86d1d9e63e21e6b452517d6de4f118a93186125e

Observation 14123331-275c-4b48-9165-a73f43a0a7c7 · outbound

This paper cites Using tree-of-thought prompting to boost chatgpt’s reasoning,.

Harnessing Multi-Agent LLMs for Complex Engineering Problem-Solving: A Framework for Senior Design Projects Using tree-of-thought prompting to boost chatgpt’s reasoning,

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:36:01.394941Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T22:36:01.047733Z digest=sha256:b5e51fcd0a2cbaa41ee49f60b942bbee9210803177a75c69acf9ea9b843ea521

Observation ced7faf3-626f-46a9-8f22-f0457800c7f5 · outbound

This paper cites Prompt Engineering Guide,.

Harnessing Multi-Agent LLMs for Complex Engineering Problem-Solving: A Framework for Senior Design Projects Prompt Engineering Guide,

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:36:01.382410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T22:36:01.055445Z digest=sha256:85449d25a75e523ae14a5a0a284af944c80f6d845c1d6c761eeb40db14787fec

Observation ab8288c1-3124-4e1a-b709-db8d01ac3dfa · outbound

This paper cites Should we use characteristics of conversation to measure grammatical complexity in L2 writing develop- ment?.

Harnessing Multi-Agent LLMs for Complex Engineering Problem-Solving: A Framework for Senior Design Projects Should we use characteristics of conversation to measure grammatical complexity in L2 writing develop- ment?

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:36:01.371378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T22:36:01.059220Z digest=sha256:cc7cd3decad9600b47cdd0aa2913d8b380aebd959d8e9db2bda949245975ad6e

Observation e0933ad6-ebcb-4cdc-98aa-fb5bb8974f65 · outbound

This paper cites an unresolved cited work.

Harnessing Multi-Agent LLMs for Complex Engineering Problem-Solving: A Framework for Senior Design Projects Unresolved cited work

Reference 27

Resolution
unresolved
raw_fallback, observed 2026-08-10T22:36:01.359035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T22:36:01.062885Z digest=sha256:7b11ac449bd36d78e05035fe64d1140b178a825f30cf93b8f767d8cc20df04ab

Observation 9e163813-7619-416c-9315-6c7052b24daa · outbound

This paper cites Derivation of new readability formulas (automated readability index, fog count and Flesch reading ease formula) for navy enlisted personnel,.

Harnessing Multi-Agent LLMs for Complex Engineering Problem-Solving: A Framework for Senior Design Projects Derivation of new readability formulas (automated readability index, fog count and Flesch reading ease formula) for navy enlisted personnel,

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:36:01.343128Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T22:36:01.066809Z digest=sha256:92e86abd0bba07541343210be31f5e42408f056c59523eb241b8e27a80cc40d4

Observation 77f3492b-a94f-4ef8-be24-1879945a312a · outbound

This paper cites The Prompt Report: A Systematic Survey of Prompt Engineering Techniques.

Harnessing Multi-Agent LLMs for Complex Engineering Problem-Solving: A Framework for Senior Design Projects The Prompt Report: A Systematic Survey of Prompt Engineering Techniques

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-10T22:36:01.071075Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:36:01.071075Z digest=sha256:1af7b99f8028a8a556bd4f861e951287e759c99c7aba8c149f4a6b80c97d7ef0

Observation e7d4f326-1618-4d9e-ba86-c638aae42000 · outbound

This paper cites MRKL Systems: A modular, neuro-symbolic architecture that combines large language models, external knowledge sources and discrete reasoning.

Harnessing Multi-Agent LLMs for Complex Engineering Problem-Solving: A Framework for Senior Design Projects MRKL Systems: A modular, neuro-symbolic architecture that combines large language models, external knowledge sources and discrete reasoning

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-10T22:36:01.075283Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:36:01.075283Z digest=sha256:646d09c6d1cef072b706ae872c74388fb4101a8259231ac0e62c13c431b8d3d7

Observation c04f9fcc-6b9e-42e7-8b4a-64c46bde3112 · outbound

This paper cites Creating large language model applica- tions utilizing LangChain: A primer on developing LLM apps fast,.

Harnessing Multi-Agent LLMs for Complex Engineering Problem-Solving: A Framework for Senior Design Projects Creating large language model applica- tions utilizing LangChain: A primer on developing LLM apps fast,

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:36:01.329296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T22:36:01.079731Z digest=sha256:f1e387154eee096cd6f1f37dc95a741a5e3b7b24f23900903417714ae41aa806

Observation eecf927c-fcfa-4f6a-8190-accea2e6d47d · outbound

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

Harnessing Multi-Agent LLMs for Complex Engineering Problem-Solving: A Framework for Senior Design Projects AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-10T22:36:01.083322Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:36:01.083322Z digest=sha256:cb849a67eda67729b9f28354d8b909d571baf4acafef435a0c9e7cad0286b142

Observation fb021d22-9bd9-4add-8b50-59de8a45574a · outbound

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

Harnessing Multi-Agent LLMs for Complex Engineering Problem-Solving: A Framework for Senior Design Projects ReAct: Synergizing Reasoning and Acting in Language Models

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-10T22:36:01.087377Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:36:01.087377Z digest=sha256:03b0ce5713f217121b6ab58f74e5a3f4206c089919552968350fad7d44d7a981

Observation 81f5aa3f-6a08-4302-9d6f-5228c22c967e · outbound

This paper cites A framework to develop and implement role- play case studies to teach responsible technology use,.

Harnessing Multi-Agent LLMs for Complex Engineering Problem-Solving: A Framework for Senior Design Projects A framework to develop and implement role- play case studies to teach responsible technology use,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:36:01.316421Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T22:36:01.091106Z digest=sha256:bc732d69581bb9c15c0565d23f79afbad8e79959c53907f3862a036bf80a749d

Observation 3f77beb7-f1a3-4ff3-90c4-f4c69f7077d7 · outbound

This paper cites Leveraging the force of formative assessment & feedback for effective engineering education,.

Harnessing Multi-Agent LLMs for Complex Engineering Problem-Solving: A Framework for Senior Design Projects Leveraging the force of formative assessment & feedback for effective engineering education,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:36:01.303804Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T22:36:01.094862Z digest=sha256:f47b879d6e74ec77f77b03cd93a37ca129f5216dbd8c0a6a309613b5f28e0eaf

Observation 1829252a-cdb0-43b0-bf02-5ba950f0b2f5 · outbound

This paper cites The prompting guide: LLM agents research,.

Harnessing Multi-Agent LLMs for Complex Engineering Problem-Solving: A Framework for Senior Design Projects The prompting guide: LLM agents research,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:36:01.291845Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T22:36:01.099206Z digest=sha256:42d7a9f6c02081da939a203ff915a4c9dceb729e2082a46239acaef44c8dea3f

Observation 850aeed8-8c94-4227-bf19-5217ded2e97e · outbound

This paper cites Available: https://doi.org/10.5281/zenodo.10323452.

Harnessing Multi-Agent LLMs for Complex Engineering Problem-Solving: A Framework for Senior Design Projects Available: https://doi.org/10.5281/zenodo.10323452

Reference 2023

Resolution
verified exact
doi, observed 2026-08-10T22:36:01.134035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T22:36:01.051492Z digest=sha256:d7e63664cd7a72c22a68b4c4a5ecb7bc96d0020e766b4730548836f379b2cf7d

Pith citing papers

Observation 80ca9d40-4e46-4231-9ca5-94bdb131cae3 · inbound

Multi-Agentic Approach for History Matching of Oil Reservoirs cites this paper.

Multi-Agentic Approach for History Matching of Oil Reservoirs Harnessing Multi-Agent LLMs for Complex Engineering Problem-Solving: A Framework for Senior Design Projects

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-15T03:03:56.648482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-15T03:03:54.082426Z digest=sha256:356bbe02da50565f8e54f4364d882252bb5cc481d670fa069508943532a68e27

Observation 103fcced-34dd-4139-8985-e1971e365a34 · inbound

SwarmHarness: Skill-Based Task Routing via Decentralized Incentive-Aligned AI Agent Networks cites this paper.

SwarmHarness: Skill-Based Task Routing via Decentralized Incentive-Aligned AI Agent Networks Harnessing Multi-Agent LLMs for Complex Engineering Problem-Solving: A Framework for Senior Design Projects

Reference 9

Resolution
metadata mismatch
arxiv_id, observed 2026-06-29T11:43:23.568932Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-06-29T11:41:30.827427Z digest=sha256:89fbc5fe7f4d8a4e62f289771862b601bdb4509471869bdb1af4745d9a85a9f4