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Paper Citation Record · LEDGER

Exploration of LLM Multi-Agent Application Implementation Based on LangGraph+CrewAI

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 14 inbound Pith citation observations for arXiv:2411.18241.

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

pith.paper-citation-record.v1
2411.18241 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 14 of 14 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:05:14.026672Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

2
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 3cc4001b-cd0a-436c-aecf-03b6ad85f619 · inbound

From Virtual Agents to Robot Teams: A Multi-Robot Framework Evaluation in High-Stakes Healthcare Context cites this paper.

From Virtual Agents to Robot Teams: A Multi-Robot Framework Evaluation in High-Stakes Healthcare Context Exploration of LLM Multi-Agent Application Implementation Based on LangGraph+CrewAI

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-07T11:05:22.452219Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:05:22.452219Z digest=sha256:5af4d4c56bae1d7d7a6d2ee38f5a0923fd2a4c33a8f583a5af5d10ae4e1a04fb

Observation 5fd4d2b4-876b-4e04-b989-39b90062f41b · inbound

SUMO-MCP: Leveraging the Model Context Protocol for Autonomous Traffic Simulation and Optimization cites this paper.

SUMO-MCP: Leveraging the Model Context Protocol for Autonomous Traffic Simulation and Optimization Exploration of LLM Multi-Agent Application Implementation Based on LangGraph+CrewAI

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-07T11:03:26.839202Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:03:26.839202Z digest=sha256:ced78038f987e37e753e186838b41b83ce42d27235e0081d959a10118cc3efba

Observation 9533aeaf-3b98-43a1-b552-2f79cfcddee8 · inbound

Contextual Memory Intelligence -- A Foundational Paradigm for Human-AI Collaboration and Reflective Generative AI Systems cites this paper.

Contextual Memory Intelligence -- A Foundational Paradigm for Human-AI Collaboration and Reflective Generative AI Systems Exploration of LLM Multi-Agent Application Implementation Based on LangGraph+CrewAI

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-07T13:05:14.026672Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:05:14.026672Z digest=sha256:54bf9c8d486473c1743519f4b841530ac183a465830a185239cfafc1b7d5940d

Observation 63abd74d-7782-4b2a-a6a9-63802ca4d4fc · inbound

HAWK: A Hierarchical Workflow Framework for Multi-Agent Collaboration cites this paper.

HAWK: A Hierarchical Workflow Framework for Multi-Agent Collaboration Exploration of LLM Multi-Agent Application Implementation Based on LangGraph+CrewAI

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-06T19:58:42.689107Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:58:42.689107Z digest=sha256:0cff7e5ced09e184011985056903dde825d0541b4fbec32463224f2f1d77ff04

Observation 156dc59b-3a9e-45aa-b914-a31e9306e674 · inbound

Training-Free Multimodal Large Language Model Orchestration cites this paper.

Training-Free Multimodal Large Language Model Orchestration Exploration of LLM Multi-Agent Application Implementation Based on LangGraph+CrewAI

Reference 44

Resolution
verified exact
arxiv_id, observed 2026-05-19T00:12:54.141647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-19T00:12:39.834892Z digest=sha256:eedde81d25d16848f65e8d2c54736bc1f231622c1b8e2f071a6c5e50e3d74424

Observation da19b59c-291a-46d2-aad1-4e7e1ad9adb1 · inbound

Training-Free Multimodal Large Language Model Orchestration cites this paper.

Training-Free Multimodal Large Language Model Orchestration Exploration of LLM Multi-Agent Application Implementation Based on LangGraph+CrewAI

Reference 44

Resolution
verified exact
arxiv_id, observed 2026-05-25T08:05:30.713612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-25T08:02:15.950975Z digest=sha256:e28cc43c16d6e51021b31d40871d30431044f47801a23a1192c313e0bc708c3d

Observation 20b1cb40-c2ac-4f07-ace0-523e51c070ab · inbound

Hybrid Agentic AI and Multi-Agent Systems in Smart Manufacturing cites this paper.

Hybrid Agentic AI and Multi-Agent Systems in Smart Manufacturing Exploration of LLM Multi-Agent Application Implementation Based on LangGraph+CrewAI

Reference 43

Resolution
verified exact
arxiv_id, observed 2026-05-17T06:49:11.457928Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-17T06:44:55.849494Z digest=sha256:639344bfc31ccc9b15d567c53c1a095bd481fe427170615c92e6013d96097504

Observation b1794681-6067-4990-ac88-a1e14d921deb · inbound

From Spark to Fire: Modeling and Mitigating Error Cascades in LLM-Based Multi-Agent Collaboration cites this paper.

From Spark to Fire: Modeling and Mitigating Error Cascades in LLM-Based Multi-Agent Collaboration Exploration of LLM Multi-Agent Application Implementation Based on LangGraph+CrewAI

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-05-15T16:40:10.631810Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-15T16:36:43.330447Z digest=sha256:045e2725bc641a844cd7bb39e3f08027e89ddb4e03f652eae5f413505349884d

Observation 95ca092f-9f1f-4e44-8381-1bc872182d67 · inbound

Policy-Guided Threat Hunting: An LLM enabled Framework with Splunk SOC Triage cites this paper.

Policy-Guided Threat Hunting: An LLM enabled Framework with Splunk SOC Triage Exploration of LLM Multi-Agent Application Implementation Based on LangGraph+CrewAI

Reference 37

Resolution
verified exact
arxiv_id, observed 2026-05-15T01:03:25.236409Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-15T01:02:09.012006Z digest=sha256:09c87767d6ecba2d2ac598eae2008298d2181adc76ed4027500ab3f74391cee9

Observation 0273934f-1b8f-4190-9bbe-5de265e00775 · inbound

A Review of Large Language Models for Stock Price Forecasting from a Hedge-Fund Perspective cites this paper.

A Review of Large Language Models for Stock Price Forecasting from a Hedge-Fund Perspective Exploration of LLM Multi-Agent Application Implementation Based on LangGraph+CrewAI

Reference 58

Resolution
verified exact
arxiv_id, observed 2026-05-11T07:35:59.159093Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-10T17:05:40.178716Z digest=sha256:74a921e2686bd1884a64d5b94ec3714e3e5398623cb61f33a38d6b0582c0c4a4

Observation f4a2c002-ef0d-4964-9bc3-a43206ceeb33 · inbound

A Communication-Theoretic Framework for LLM Agents: Cost-Aware Adaptive Reliability cites this paper.

A Communication-Theoretic Framework for LLM Agents: Cost-Aware Adaptive Reliability Exploration of LLM Multi-Agent Application Implementation Based on LangGraph+CrewAI

Reference 83

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T03:06:19.509672Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-12T03:03:05.715652Z digest=sha256:fc1fd8730b3de99d2b44f4f16d4ee3b3113d0dc70260ec18345c7ce29395d24e

Observation 182ab890-bd44-4dc1-8af1-58e04032a2f0 · inbound

SHM-Agents: A Generalist-Specialist Integrated Agent System for Structural Health Monitoring cites this paper.

SHM-Agents: A Generalist-Specialist Integrated Agent System for Structural Health Monitoring Exploration of LLM Multi-Agent Application Implementation Based on LangGraph+CrewAI

Reference 12

Resolution
metadata mismatch
arxiv_id, observed 2026-06-30T21:55:04.855456Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-30T21:50:07.617384Z digest=sha256:3cc4e3b11828e65d85fc3631b8d25fff51ccb40a34a3c97353a5b18b99307720

Observation 5dd41b78-6c73-4b62-8f54-e1eb443b4c41 · inbound

GraphBit: A Graph-based Agentic Framework for Non-Linear Agent Orchestration cites this paper.

GraphBit: A Graph-based Agentic Framework for Non-Linear Agent Orchestration Exploration of LLM Multi-Agent Application Implementation Based on LangGraph+CrewAI

Reference 25

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T14:35:55.762269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-15T14:33:51.477306Z digest=sha256:a80923798f34279219892e91fe7e89a8f2f63deeb99170b39e4db23be205ada8

Observation f10d2df8-6157-4abe-ab3c-d35479b77461 · inbound

TO-Agents: A Multi-Agent AI Pipeline for Preference-Guided Topology Optimization cites this paper.

TO-Agents: A Multi-Agent AI Pipeline for Preference-Guided Topology Optimization Exploration of LLM Multi-Agent Application Implementation Based on LangGraph+CrewAI

Reference 35

Resolution
verified exact
arxiv_id, observed 2026-05-22T09:34:46.926314Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-22T09:33:43.733883Z digest=sha256:352b9bdcd57f07860bcdab060fb7f3b88a617167bab637f207735170a7a9c1e3