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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 11 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 2026-08-11T06:34:44.6726+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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:36:00.953747Z digest=sha256:6f94b426f763865e50f27a90d37e5b6d10a810ed616ce14cf04a03579f15b17b

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:36:00.957975Z digest=sha256:427239089eb6abc0a23b07194d9d5cad7ae50aa05c0ff1d57231b2d9ce97c6e1

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:36:00.961847Z digest=sha256:fcdd8a5aacfea30952772a6cd4fbdac4e9a59ba74abd0a0d396e0dbb05267305

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:36:00.965675Z digest=sha256:bfa5172841ed893bb11dee1e2a58a2ff44ffd25ff92be0aa26dd68555e7ea5e4

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:36:00.969635Z digest=sha256:b15556c457a4bf9529109d686013117c2bb4ac6052aaaea6e9f05e6e0b03f747

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:36:00.973461Z digest=sha256:91400cdfff0033c4a1393aa003bd6480f90e7cc8603bb1ec39f98c447caf930d

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:36:00.977518Z digest=sha256:c086f91345ce9d88a9a0cc3782de08b8bcd061eafba07943c1dc8692e5d4f33c

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:36:00.981109Z digest=sha256:7a1c4ce976946b594635857eced7a670fbdf09f9d3c68d4ae209e25bac52857a

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:36:00.984926Z digest=sha256:78d22848f6597014a553025ad3062efe07ce4c167c66686a586fe2130a28bee1

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:36:00.988930Z digest=sha256:82758d77abef5e8562df3968a4fabe83c015d66ae8cfae2107f035e0dd71cf07

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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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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:36:00.993931Z digest=sha256:9ba3c07facbe725669fd1cba1c00ce71b5dfc1f64b1279fb42a0d82a9f60af17

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:36:00.997730Z digest=sha256:d295d9441d603bc30de6715bf9591e16bb51f8f1bbffcdd2b19ed687e3230911

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:36:01.001755Z digest=sha256:ec4685f583c44daa153979bfbf962ee9928e6ff4c5875f3bf05962da7cae81d7

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=sha256:61b8ffe07bb902512eb4e87429d9cc986fe712b78905d08036dcbb491da85a63

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:36:01.009822Z digest=sha256:e10d06beeb65a72748056d01e75a6e7a7098600a058f545cf5cdebc9cfc9339f

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=sha256:08084b3eb82923f2bff0f4397668eda146fe7dbf0477086ea35fc08cbf7e6afb

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
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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=sha256:854c8b0d96767837edef8525cdce7f282db5988f2d3d056ecf07093d241f1038

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:36:01.022390Z digest=sha256:3cc5f175cef952a49c11bd45c371781c431149359d59f518c5af4ac6c5df5d58

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:f34bc2c698a225b0b170460592c7de6e509d2e18e5bbeb4b61a5f3aca524acf0

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=sha256:76ad31714cc7014d2905b28a5975a826fb204c26fd99e08c889e1a4decfece1d

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:36:01.035341Z digest=sha256:df2a75c8b2b66c2848dcb8d024af32e74571dd2c8001916a2310745ca6738118

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:36:01.039646Z digest=sha256:abdf579dc2ef901093e517de214aa1f7861aa3bd50d73d063706e11ce596eeb4

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:36:01.043517Z digest=sha256:ad9ae458b16fdf94023437a37469ad7915f8749a5e835bfaa878e4bc6048c238

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:36:01.047733Z digest=sha256:52aacb895c83250aeb45ad208767037b76b2da87b4fa48b4679d6b6aee214a3b

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:36:01.055445Z digest=sha256:a2ef284c6541bc6bcb71cbf1b440441c409a680e780337ea9e7cd7606ff2ade3

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:36:01.059220Z digest=sha256:1d7a0184474e0b82d084a9b66dbeedaab5986427ebe16d9a42503fab28304f2b

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:36:01.062885Z digest=sha256:9b83be6574597fb37c78e55178710f65abb456042edece2baf9859fccb0f9484

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:36:01.066809Z digest=sha256:2b5cb1ed4dcba28117243f90a25cbef5010474b3716f7ee811cceb4e45002254

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:c1f42da77856d6587a57e2eceeb54a6adc4e744e68552ddaae0adb45bc020adc

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=sha256:001ea6fa0d3b243c6d6fb1350d48c4a6c9795e8f150c7f8191d8c3180b6454aa

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:36:01.079731Z digest=sha256:0ac60f32768f68aa09bab17743512ade9d8042e929e94a665742418934a6b6a6

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=sha256:7223fc308d4bf51d393eeac45e7c5035a8b2c4232e4233393fa4b159671d4191

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=sha256:4e12f79df99d179cc90985eae14490a203099c829360c4f7045d0ac126752c88

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:36:01.091106Z digest=sha256:bc16ae7e99992f4cb75d1661a9d7648ce3b16ac86d8462125c55fa38fc5ed734

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:36:01.094862Z digest=sha256:b034ef7b04265b86e135acd3e9e9ff6abd328e8070af63a0033c15394a370c74

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:36:01.099206Z digest=sha256:28020c986ad7e51d197b2d878fbb6968c0f1863cf875d48f0681c9acaa4d852b

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:36:01.051492Z digest=sha256:aa6537380447e9a645ae19b4029e6cc8c92d637036f0b3d43f80f2e18f010506

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-15T03:03:54.082426Z digest=sha256:29913ba942740ff8eb0d0cb3e774e962a2ea9ed3b51c95f50d68fe72db32ed08

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-29T11:41:30.827427Z digest=sha256:34d83f14d278ad609d2b6ec5a3d7b96ba6df54ec5d7fc761d6ba865a0dedf36a