Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-10T22:36:01.099206Z
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.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-06-29T11:41:30.827427Z
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 2026-08-15T06:32:42.880941+00:00.
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
- Resolution
- 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 2026-08-15T06:32:42.880941+00:00.
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 2026-08-15T06:32:42.880941+00:00.
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 2026-08-15T06:32:42.880941+00:00.
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 2026-08-15T06:32:42.880941+00:00.
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 2026-08-15T06:32:42.880941+00:00.
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 2026-08-15T06:32:42.880941+00:00.
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 2026-08-15T06:32:42.880941+00:00.
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 2026-08-15T06:32:42.880941+00:00.
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 2026-08-15T06:32:42.880941+00:00.
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
- Resolution
- unresolved
- 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 2026-08-15T06:32:42.880941+00:00.
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 2026-08-15T06:32:42.880941+00:00.
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 2026-08-15T06:32:42.880941+00:00.
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
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T22:36:01.005373Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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 2026-08-15T06:32:42.880941+00:00.
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
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T22:36:01.013642Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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.
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 2026-08-15T06:32:42.880941+00:00.
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.
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.
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 2026-08-15T06:32:42.880941+00:00.
Observation 89f2dd40-f4f0-4135-9915-c5f1ecbaabf2 · outbound
This paper cites [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 2026-08-15T06:32:42.880941+00:00.
Observation bd552eef-5fae-45e4-b6a7-6a274df2f36c · outbound
This paper cites [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 2026-08-15T06:32:42.880941+00:00.
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 2026-08-15T06:32:42.880941+00:00.
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 2026-08-15T06:32:42.880941+00:00.
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 2026-08-15T06:32:42.880941+00:00.
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 2026-08-15T06:32:42.880941+00:00.
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 2026-08-15T06:32:42.880941+00:00.
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.
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.
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 2026-08-15T06:32:42.880941+00:00.
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.
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.
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 2026-08-15T06:32:42.880941+00:00.
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 2026-08-15T06:32:42.880941+00:00.
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 2026-08-15T06:32:42.880941+00:00.
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 2026-08-15T06:32:42.880941+00:00.
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 2026-08-15T06:32:42.880941+00:00.
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 2026-08-15T06:32:42.880941+00:00.