Pith. sign in

Paper Citation Record · LEDGER

Beyond Text: Implementing Multimodal Large Language Model-Powered Multi-Agent Systems Using a No-Code Platform

As of 21 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 2 inbound Pith citation observations for arXiv:2501.00750.

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

pith.paper-citation-record.v1
2501.00750 v2

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:46:05.880688Z

measured 37 of 37 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T12:24:18.088870Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T16:21:01.831473Z

Reference resolution

35 of 35 outbound references displayed

  • verified exact5
  • verified fuzzy15
  • unresolved15
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 78a9a697-8740-4d58-8bf7-065223c52d48 · outbound

This paper cites A Study on the Implementation of Generative AI Services Using an Enterprise Data-Based LLM Application Architecture.

Beyond Text: Implementing Multimodal Large Language Model-Powered Multi-Agent Systems Using a No-Code Platform A Study on the Implementation of Generative AI Services Using an Enterprise Data-Based LLM Application Architecture

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-10T22:46:05.539220Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:46:05.539220Z digest=sha256:29c568291716833d3bddc99ca3ad8076180531ac02c5ef68e0a268eddc93aca2

Observation e7022269-34f3-4d49-b0cf-96ad090c903a · outbound

This paper cites A Study on the RPA Interface Method for Hybrid AI Chatbot Implementation.

Beyond Text: Implementing Multimodal Large Language Model-Powered Multi-Agent Systems Using a No-Code Platform A Study on the RPA Interface Method for Hybrid AI Chatbot Implementation

Reference 2

Resolution
verified exact
doi, observed 2026-08-10T22:46:06.069506Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T22:46:05.548969Z digest=sha256:83765c916ac53201555780a91f17b1ac88d94a2a165bc6a5475831581adf0f31

Observation b33b6ef5-f6af-4f78-bd22-3a55a45e4815 · outbound

This paper cites A Case Study in Applying Hyperautomation Platform for E2E Business Process Automation.

Beyond Text: Implementing Multimodal Large Language Model-Powered Multi-Agent Systems Using a No-Code Platform A Case Study in Applying Hyperautomation Platform for E2E Business Process Automation

Reference 3

Resolution
verified exact
doi, observed 2026-08-10T22:46:06.048940Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T22:46:05.556642Z digest=sha256:8cc38c47ea0d3a7dd34bd117c91bad085234f3a61d2cb870714420a4f5b07e61

Observation 7b371571-8d39-4430-a44a-8d8f459910a5 · outbound

This paper cites A Study on the Service Integration of Traditional Chatbot and ChatGPT.

Beyond Text: Implementing Multimodal Large Language Model-Powered Multi-Agent Systems Using a No-Code Platform A Study on the Service Integration of Traditional Chatbot and ChatGPT

Reference 4

Resolution
verified exact
doi, observed 2026-08-10T22:46:06.029266Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T22:46:05.564736Z digest=sha256:57c872e3a30018eaf38d379575d6e18c1862f4e55218dff334db69ab429d26bd

Observation 39804aaf-61bf-4924-b13d-486dfcb3c89a · outbound

This paper cites Domain-specialized LLM: Financial fine- tuning and utilization method using Mistral 7B.

Beyond Text: Implementing Multimodal Large Language Model-Powered Multi-Agent Systems Using a No-Code Platform Domain-specialized LLM: Financial fine- tuning and utilization method using Mistral 7B

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-10T22:46:05.575271Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:46:05.575271Z digest=sha256:ffd1bcfb86c6235acdbc1095e298bd896e4a5035aebc3bd631d056bea869a3b7

Observation cb0ada3a-4bb0-4fe1-b1f8-7fe41d2772d6 · outbound

This paper cites Generative AI service implementation using LLM application architecture: based on RAG model and LangChain framework.

Beyond Text: Implementing Multimodal Large Language Model-Powered Multi-Agent Systems Using a No-Code Platform Generative AI service implementation using LLM application architecture: based on RAG model and LangChain framework

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-10T22:46:05.591904Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:46:05.591904Z digest=sha256:1beee7449dd579e8b257598f7fcb5bb038dad8d410b3fb82b17bb29855ec4ecc

Observation 956e66df-3455-40d0-91eb-49d0519ae64f · outbound

This paper cites RAG vs Fine-tuning: Pipelines, Tradeoffs, and a Case Study on Agriculture.

Beyond Text: Implementing Multimodal Large Language Model-Powered Multi-Agent Systems Using a No-Code Platform RAG vs Fine-tuning: Pipelines, Tradeoffs, and a Case Study on Agriculture

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-10T22:46:05.603655Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:46:05.603655Z digest=sha256:ac3a064aca659975f9136b5fd35eacc010d38310430b691b14b50b6d25fcd072

Observation 3f9b682d-eff2-4e30-81b0-cc7abaccc610 · outbound

This paper cites Market Guide for Enterprise Low -Code Application Platforms.

Beyond Text: Implementing Multimodal Large Language Model-Powered Multi-Agent Systems Using a No-Code Platform Market Guide for Enterprise Low -Code Application Platforms

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:46:06.963446Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T22:46:05.613582Z digest=sha256:01a82ff81e6795fc4de0bea91148621ace9bc01774d8efcc648a4fb8c7f006f9

Observation 22c80a4d-429d-4aeb-a92c-dc97332dcb5a · outbound

This paper cites Copyright Issue Trends.

Beyond Text: Implementing Multimodal Large Language Model-Powered Multi-Agent Systems Using a No-Code Platform Copyright Issue Trends

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:46:06.945037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T22:46:05.622980Z digest=sha256:f8d36f9ce75be43f36d8bc96968e0d6f6075395bc3346d6c16a89a7c4c1f61e5

Observation aa413d54-c595-4101-88eb-598eab82733d · outbound

This paper cites Multimodal Machine Learning: A Survey and Taxonomy.

Beyond Text: Implementing Multimodal Large Language Model-Powered Multi-Agent Systems Using a No-Code Platform Multimodal Machine Learning: A Survey and Taxonomy

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:46:06.919975Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T22:46:05.643020Z digest=sha256:d7de7710c4f434a405407e2c4793b6ea8287941936b0a83b30ce94d75a9774d1

Observation a0b18c3c-dfb0-4b48-bd71-610bb2fa0d61 · outbound

This paper cites ViLBERT: Pretraining Task -Agnostic Visiolinguistic Representations for Vision -and- Language Tasks.

Beyond Text: Implementing Multimodal Large Language Model-Powered Multi-Agent Systems Using a No-Code Platform ViLBERT: Pretraining Task -Agnostic Visiolinguistic Representations for Vision -and- Language Tasks

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:46:06.898233Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T22:46:05.650276Z digest=sha256:1c250d28acfed25939b3b4c74f7dcbe36f9feb8dc1c38d91e0ce98a1d6a2bd76

Observation edbdc6af-5dc2-47c7-b5b9-ec838ba8262c · outbound

This paper cites Multimodal Models and Fusion - A Complete Guide.

Beyond Text: Implementing Multimodal Large Language Model-Powered Multi-Agent Systems Using a No-Code Platform Multimodal Models and Fusion - A Complete Guide

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:46:06.872132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T22:46:05.658264Z digest=sha256:9da4a6fc988a38b748b6dc18da0a5188f88a940e2ec7c410bcdbeafb94be4dfb

Observation 761436de-a0a9-488d-8825-bea2cb07c62f · outbound

This paper cites Reasoning Limitations of Multimodal Large Language Models. A Case Study of Bongard Problems.

Beyond Text: Implementing Multimodal Large Language Model-Powered Multi-Agent Systems Using a No-Code Platform Reasoning Limitations of Multimodal Large Language Models. A Case Study of Bongard Problems

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-10T22:46:05.664352Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:46:05.664352Z digest=sha256:68a84feb95550d27f4a5c9ade4d48b31e8945e9475a2fcf967bce9b4245e7c85

Observation 44d86918-a2b5-4707-9b18-e8c0282e6e4f · outbound

This paper cites Multimodal and Crossmodal AI for Smart Data Analysis.

Beyond Text: Implementing Multimodal Large Language Model-Powered Multi-Agent Systems Using a No-Code Platform Multimodal and Crossmodal AI for Smart Data Analysis

Reference 14

Resolution
verified exact
local_arxiv, observed 2026-08-10T22:46:06.391454Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T22:46:05.672791Z digest=sha256:5df10cba8bd3a3ef56c0049113d265881ee07f9bf98851ab813d3cf2c07f4ea2

Observation 6b68d8c5-2440-4e01-8679-de7e7948ae00 · outbound

This paper cites Massive Multi -discipline Multimodal Understanding and Reasoning Benchmark.

Beyond Text: Implementing Multimodal Large Language Model-Powered Multi-Agent Systems Using a No-Code Platform Massive Multi -discipline Multimodal Understanding and Reasoning Benchmark

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:46:06.850254Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T22:46:05.678520Z digest=sha256:0736de4e7b8eac4e8fa5fd93c848a0f528948bc9be160bcb33fd5fb7f8829ae5

Observation 3cd98ab9-7ba8-485f-be82-71ed46bde504 · outbound

This paper cites MM-LLMs: Recent Advances in MultiModal Large Language Models.

Beyond Text: Implementing Multimodal Large Language Model-Powered Multi-Agent Systems Using a No-Code Platform MM-LLMs: Recent Advances in MultiModal Large Language Models

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-10T22:46:05.684061Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:46:05.684061Z digest=sha256:57d3655e8c607292f0d149415610fdde07d6ad17e18e4f806358e65d838907bd

Observation 86ff379f-97c4-4bd1-bf83-5695c2b8f6fc · outbound

This paper cites Agent Supervisor in Multi-Agent Workflow in LangGraph.

Beyond Text: Implementing Multimodal Large Language Model-Powered Multi-Agent Systems Using a No-Code Platform Agent Supervisor in Multi-Agent Workflow in LangGraph

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:46:06.827622Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T22:46:05.691887Z digest=sha256:5d93e143652e68f403e3d51f7d208dd6a549c872f4817340c923a0720a972bf4

Observation aa8556aa-d868-4f5f-a288-0f778ff5a8fc · outbound

This paper cites An Introduction to MultiAgent Systems.

Beyond Text: Implementing Multimodal Large Language Model-Powered Multi-Agent Systems Using a No-Code Platform An Introduction to MultiAgent Systems

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:46:06.789622Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T22:46:05.696778Z digest=sha256:090bd2ba427c9bfa12d44af6cbd66c5ad78f88008a8e3a08d7a80373cd0b4af1

Observation 4186d085-3db1-4fd2-82ae-74118f533459 · outbound

This paper cites Foundation Models for Decision Making: Problems, Methods, and Opportunities.

Beyond Text: Implementing Multimodal Large Language Model-Powered Multi-Agent Systems Using a No-Code Platform Foundation Models for Decision Making: Problems, Methods, and Opportunities

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-10T22:46:05.702757Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:46:05.702757Z digest=sha256:1366014061964f4f8febfa24bb9e48db21b3ec7f13a0e7cb72ba159c32d229ab

Observation 2be5235a-6f66-497f-9377-0062a70d971b · outbound

This paper cites AgentBench: Evaluating LLMs as Agents.

Beyond Text: Implementing Multimodal Large Language Model-Powered Multi-Agent Systems Using a No-Code Platform AgentBench: Evaluating LLMs as Agents

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-10T22:46:05.713549Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:46:05.713549Z digest=sha256:f0a9e6d26d9923a07bd6ce5d84d21fa109d8388a41c888955cefb47a5d057312

Observation ecfd04be-9411-4fd6-affc-60930b9c3f3b · outbound

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

Beyond Text: Implementing Multimodal Large Language Model-Powered Multi-Agent Systems Using a No-Code Platform Large Language Model based Multi-Agents: A Survey of Progress and Challenges

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-10T22:46:05.726266Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:46:05.726266Z digest=sha256:8239be0cd5bcbb257b129593eee431abed8dc50665a5b1b11580ad5074998796

Observation ed2ea11d-296f-4b26-892e-8e7fd9022b96 · outbound

This paper cites TaskMatrix.AI: Completing Tasks by Connecting Foundation Models with Millions of APIs.

Beyond Text: Implementing Multimodal Large Language Model-Powered Multi-Agent Systems Using a No-Code Platform TaskMatrix.AI: Completing Tasks by Connecting Foundation Models with Millions of APIs

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-10T22:46:05.739433Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:46:05.739433Z digest=sha256:125d8c2c84179e1031782ef496fc056f371476ec614a30a547e2a7a3807a2a5d

Observation 631e537d-77fe-453f-9304-118f6aff7c66 · outbound

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

Beyond Text: Implementing Multimodal Large Language Model-Powered Multi-Agent Systems Using a No-Code Platform AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-10T22:46:05.747850Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:46:05.747850Z digest=sha256:5e32ebff1ceff42af6d6df871d8e3990eb6165e577f162ae0e8b93cfd7fff080

Observation 4225dcd3-af5e-41d8-8154-08fbe9d31d1a · outbound

This paper cites Multimodal Foundation Models: From Specialists to General-Purpose Assistants.

Beyond Text: Implementing Multimodal Large Language Model-Powered Multi-Agent Systems Using a No-Code Platform Multimodal Foundation Models: From Specialists to General-Purpose Assistants

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-10T22:46:05.766965Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:46:05.766965Z digest=sha256:6d02eefc82f87055d0e595220cbb6aa04e9fce6ff887a403cb0625bcc379b19a

Observation 539a3207-89d2-4b75-b6a4-93585a4ab315 · outbound

This paper cites Flamingo: a Visual Language Model for Few-Shot Learning.

Beyond Text: Implementing Multimodal Large Language Model-Powered Multi-Agent Systems Using a No-Code Platform Flamingo: a Visual Language Model for Few-Shot Learning

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:46:06.757848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T22:46:05.773509Z digest=sha256:c08a0ed5d6aaf9620a507c4ee0ba1fdb3ffc9b36f379b6c7e1d3473a39aeb8f8

Observation 956cfbd6-3a20-472a-afef-32529d63f01a · outbound

This paper cites A Generalist Agent.

Beyond Text: Implementing Multimodal Large Language Model-Powered Multi-Agent Systems Using a No-Code Platform A Generalist Agent

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-10T22:46:05.786110Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:46:05.786110Z digest=sha256:894bebd7fd3d3a918a3216cb88de05ace8832945c0b7810664f83420a6f9cb1c

Observation 3b8d0ec4-b127-4724-bf61-392540816d71 · outbound

This paper cites Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks.

Beyond Text: Implementing Multimodal Large Language Model-Powered Multi-Agent Systems Using a No-Code Platform Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:46:06.737458Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T22:46:05.794307Z digest=sha256:dd7bf8e3240cb8bb403cd0fb397a3e40db14e1b0891814084b83b554296c3b44

Observation 5f5e2828-06bd-4e47-9f36-c59c3c32c689 · outbound

This paper cites Atlas: Few -shot Learning with Retrieval Augmented Language Models.

Beyond Text: Implementing Multimodal Large Language Model-Powered Multi-Agent Systems Using a No-Code Platform Atlas: Few -shot Learning with Retrieval Augmented Language Models

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:46:06.711700Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T22:46:05.804026Z digest=sha256:dbe41dc9daf28175a1d7287728baedb93afcb2a933d40b1d3754dfab61bed1e0

Observation c5e859e9-512c-4887-aa32-02ddb337b50c · outbound

This paper cites Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection.

Beyond Text: Implementing Multimodal Large Language Model-Powered Multi-Agent Systems Using a No-Code Platform Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-10T22:46:05.813047Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:46:05.813047Z digest=sha256:80de1498896ed9cbf3420124aaadfcaa0c24d2bebd8765eadd6c6a33f536a867

Observation e4325e71-cc7e-4cc3-8c33-63ea6563d98c · outbound

This paper cites A Graph-Agent-Based Approach to Enhancing Knowledge-Based QA with Advanced RAG.

Beyond Text: Implementing Multimodal Large Language Model-Powered Multi-Agent Systems Using a No-Code Platform A Graph-Agent-Based Approach to Enhancing Knowledge-Based QA with Advanced RAG

Reference 30

Resolution
verified exact
doi, observed 2026-08-10T22:46:05.969761Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T22:46:05.823100Z digest=sha256:9ddaf25fba59810297706c94d4a4e6f6035115d72ec65725b205a34db25f728c

Observation 4ccf4605-31d2-4315-8fc6-1e28cc95863b · outbound

This paper cites The Advantages and Limitations of No -Code in Software Development: Everything You Need to Know.

Beyond Text: Implementing Multimodal Large Language Model-Powered Multi-Agent Systems Using a No-Code Platform The Advantages and Limitations of No -Code in Software Development: Everything You Need to Know

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:46:06.685553Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T22:46:05.842331Z digest=sha256:b7ece7ecc8dc589c50b7270934865ffcf3d61b53bc025d1a9f8d223c97a1f03b

Observation 9aeaba1c-3ddb-41c0-8936-3a8a4760194b · outbound

This paper cites Flowise documents.

Beyond Text: Implementing Multimodal Large Language Model-Powered Multi-Agent Systems Using a No-Code Platform Flowise documents

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:46:06.656471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T22:46:05.853018Z digest=sha256:d0bf60849cef96344709d4ff3182945ccffa0210931019c6ea8f92fd72783026

Observation b774aee0-d621-4fec-a26a-9d3ba36af3aa · outbound

This paper cites Langflow documents.

Beyond Text: Implementing Multimodal Large Language Model-Powered Multi-Agent Systems Using a No-Code Platform Langflow documents

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:46:06.626967Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T22:46:05.862366Z digest=sha256:59e5d30c505ce56dbbb93b5fd9dd272a68424e271bf287f3d2a9f8727cc0e678

Observation 0655dd8e-f557-4872-b36d-18d7ac9595f5 · outbound

This paper cites n8n Docs.

Beyond Text: Implementing Multimodal Large Language Model-Powered Multi-Agent Systems Using a No-Code Platform n8n Docs

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:46:06.588218Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T22:46:05.871281Z digest=sha256:106c50724bed27b1c59f12fb1b4ae2c2c5b17dcfc0a3fbfa3dc0eed6f5ee4856

Observation f3ac52e3-90ce-42c9-bf72-794be783a09e · outbound

This paper cites A Study on the Method of Implementing an AI Chatbot to Respond to the POST COVID-19 Untact Era.

Beyond Text: Implementing Multimodal Large Language Model-Powered Multi-Agent Systems Using a No-Code Platform A Study on the Method of Implementing an AI Chatbot to Respond to the POST COVID-19 Untact Era

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-10T22:46:05.880688Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:46:05.880688Z digest=sha256:e1f79a9fff33af80387a967d0b15e46ed465877ce23bef33a55023e793e3cca2

Pith citing papers

Observation 3180f85e-daef-4343-8e15-2a93e18867b6 · inbound

An Agentic AI for a New Paradigm in Business Process Development cites this paper.

An Agentic AI for a New Paradigm in Business Process Development Beyond Text: Implementing Multimodal Large Language Model-Powered Multi-Agent Systems Using a No-Code Platform

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-06T12:24:18.088870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T12:24:18.088870Z digest=sha256:496d13ca8a31f495f0f08fca5c5e59f71bfc83596fd070b325a559613c428ea8

Observation 4e7e62d1-ceda-454b-a01a-c1beb1c31770 · inbound

Toward Edge General Intelligence with Agentic AI and Agentification: Concepts, Technologies, and Future Directions cites this paper.

Toward Edge General Intelligence with Agentic AI and Agentification: Concepts, Technologies, and Future Directions Beyond Text: Implementing Multimodal Large Language Model-Powered Multi-Agent Systems Using a No-Code Platform

Reference 203

Resolution
verified exact
local_arxiv, observed 2026-08-05T16:21:01.843626Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-05T16:21:00.188840Z digest=sha256:5880b7d220521d33ef1c121fad954590998aa7f16a45abfde1df9af82d2a5969