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Paper Citation Record · LEDGER

LLM-based Multi-Agent Systems: Techniques and Business Perspectives

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 15 inbound Pith citation observations for arXiv:2411.14033.

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

pith.paper-citation-record.v1
2411.14033 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 15 of 15 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:33:47.209410Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T16:52:39.905298Z

Reference resolution

0 of 0 outbound references displayed

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

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 7ce4b486-c86a-4a32-b518-1c28dbc568ee · inbound

Retrieval Augmented Decision-Making: A Requirements-Driven, Multi-Criteria Framework for Structured Decision Support cites this paper.

Retrieval Augmented Decision-Making: A Requirements-Driven, Multi-Criteria Framework for Structured Decision Support LLM-based Multi-Agent Systems: Techniques and Business Perspectives

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-07T14:33:47.209410Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:33:47.209410Z digest=sha256:a1f85f56e87dd5be87308cb7d576ea496a944de6d0570f5a41e77307013fae68

Observation 99e6df9c-224a-48d5-b8ea-753504c576f3 · inbound

Multi Part Deployment of Neural Network cites this paper.

Multi Part Deployment of Neural Network LLM-based Multi-Agent Systems: Techniques and Business Perspectives

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-07T11:48:05.434999Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:48:05.434999Z digest=sha256:d2711c61895843d504e6bf3190140a674d44af8cfe9728da096b450283ac0661

Observation 05defc65-3c99-43cc-8961-0ad69fd9cf8e · inbound

Intelligent System of Emergent Knowledge: A Coordination Fabric for Billions of Minds cites this paper.

Intelligent System of Emergent Knowledge: A Coordination Fabric for Billions of Minds LLM-based Multi-Agent Systems: Techniques and Business Perspectives

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-07T04:53:58.605816Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:53:58.605816Z digest=sha256:2508553ba7d4a761cf73ccba94cf8cd02c8bbffbf51daee8025552532faf03c6

Observation 0e422137-6eb0-41a0-a649-6d4e27471994 · inbound

Agent Exchange: Shaping the Future of AI Agent Economics cites this paper.

Agent Exchange: Shaping the Future of AI Agent Economics LLM-based Multi-Agent Systems: Techniques and Business Perspectives

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-06T20:05:43.884020Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:05:43.884020Z digest=sha256:49024786453389e3312b5db81b2f0f128f1bfa5538c5a3a890fad70d7a3836db

Observation 51fb759f-268b-49bd-8f04-fbcaf36ba9a2 · inbound

BetaWeb: Towards a Blockchain-enabled Trustworthy Agentic Web cites this paper.

BetaWeb: Towards a Blockchain-enabled Trustworthy Agentic Web LLM-based Multi-Agent Systems: Techniques and Business Perspectives

Reference 103

Resolution
unresolved
no resolver link, observed 2026-08-05T18:55:33.759203Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T18:55:33.759203Z digest=sha256:cdbfc2a74d2b2ce145a284efd2268e09607c80ac7e70e308d22b934bc4597741

Observation e416f79d-4660-4a55-90fd-a00fbb264b42 · inbound

Secure Multi-LLM Agentic AI and Agentification for Edge General Intelligence by Zero-Trust: A Survey cites this paper.

Secure Multi-LLM Agentic AI and Agentification for Edge General Intelligence by Zero-Trust: A Survey LLM-based Multi-Agent Systems: Techniques and Business Perspectives

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-05T15:26:33.388909Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T15:26:33.388909Z digest=sha256:96346f5056c9ac05b0769fdaa7b67d8a353586cf2e3ffa8dc90351d77ae2c352

Observation 6030a97e-03ee-4e21-9887-67a84fb7888d · inbound

How Can Input Reformulation Improve Tool Usage Accuracy in a Complex Dynamic Environment? A Study on $\tau$-bench cites this paper.

How Can Input Reformulation Improve Tool Usage Accuracy in a Complex Dynamic Environment? A Study on $\tau$-bench LLM-based Multi-Agent Systems: Techniques and Business Perspectives

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-05T14:49:00.735185Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:49:00.735185Z digest=sha256:6c103615ab8f0d943c32ac7aaf1dffd5f52b87564f6856bbe8df1a7ab1a3bdfc

Observation e2e06a13-8311-41e1-a9e1-f2d4272ec5f7 · inbound

Latent Collaboration in Multi-Agent Systems cites this paper.

Latent Collaboration in Multi-Agent Systems LLM-based Multi-Agent Systems: Techniques and Business Perspectives

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-03T20:17:51.877098Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T20:17:51.877098Z digest=sha256:7466143f258f63646dbdd64ebe875f88f823d918ddbff68c409b21aec4912ad1

Observation 43ff67f6-5e0c-431e-b8f2-d300cbb77d18 · inbound

Latent Collaboration in Multi-Agent Systems cites this paper.

Latent Collaboration in Multi-Agent Systems LLM-based Multi-Agent Systems: Techniques and Business Perspectives

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-04T06:52:33.598322Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T06:52:33.598322Z digest=sha256:6b3faa10719fb20a41b1257a6e2b6363a8a991cd1eab2e2294694f3434bb811e

Observation 63ed086d-aac1-499f-bdf1-602204edb611 · inbound

Cost and Accuracy of Long-Term Memory in Distributed Multi-Agent Systems Based on Large Language Models cites this paper.

Cost and Accuracy of Long-Term Memory in Distributed Multi-Agent Systems Based on Large Language Models LLM-based Multi-Agent Systems: Techniques and Business Perspectives

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-03T11:01:43.479980Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T11:01:43.479980Z digest=sha256:acb3395fda104c2222d83853f753d150ef96429079bd6e3bda26f5f53c507f4b

Observation d335c87c-0ea9-46aa-b677-eb67c846d538 · inbound

The Vision Wormhole: Latent-Space Communication in Heterogeneous Multi-Agent Systems cites this paper.

The Vision Wormhole: Latent-Space Communication in Heterogeneous Multi-Agent Systems LLM-based Multi-Agent Systems: Techniques and Business Perspectives

Reference 88

Resolution
unresolved
no resolver link, observed 2026-08-02T22:58:12.642670Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T22:58:12.642670Z digest=sha256:4967b642f1557e7c8b512a9d68bf637965bd5d07c5275bcc548f1bb4bbd575f0

Observation 58e0dc3b-48ad-4e5d-81bb-2e568ab3f204 · inbound

Position: Agentic AI System Is a Foreseeable Pathway to AGI cites this paper.

Position: Agentic AI System Is a Foreseeable Pathway to AGI LLM-based Multi-Agent Systems: Techniques and Business Perspectives

Reference 40

Resolution
verified exact
arxiv_id, observed 2026-05-14T20:12:55.762418Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-14T20:10:36.101426Z digest=sha256:045020a87f215e5e3a3e4990d16eba45dc6dafadee80226d547dfc09c9f78d1e

Observation 38c16aa0-8225-4e0a-a798-5889d86edda1 · inbound

Beyond Individual Intelligence: Surveying Collaboration, Failure Attribution, and Self-Evolution in LLM-based Multi-Agent Systems cites this paper.

Beyond Individual Intelligence: Surveying Collaboration, Failure Attribution, and Self-Evolution in LLM-based Multi-Agent Systems LLM-based Multi-Agent Systems: Techniques and Business Perspectives

Reference 237

Resolution
verified exact
arxiv_id, observed 2026-05-15T03:08:57.983614Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-15T03:07:38.232966Z digest=sha256:76e894de5285f75cca9f0be3dd568b7b019de3e73fce38cb40931bf5eb954ff3

Observation 56546a4e-88fe-42f0-a1a8-4c60a6bc6b76 · inbound

Beyond Individual Intelligence: Surveying Collaboration, Failure Attribution, and Self-Evolution in LLM-based Multi-Agent Systems cites this paper.

Beyond Individual Intelligence: Surveying Collaboration, Failure Attribution, and Self-Evolution in LLM-based Multi-Agent Systems LLM-based Multi-Agent Systems: Techniques and Business Perspectives

Reference 238

Resolution
verified exact
arxiv_id, observed 2026-05-19T16:52:39.906967Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-19T16:51:13.491389Z digest=sha256:0d89455a10851ded6d75a3445d1af23598a8f49b47ac0042da97553a278b1629

Observation 4ed98e35-8e61-46ec-9a71-3e9491b4a349 · inbound

Runtime Uncertainty Monitoring for LLM-Based Multi-Agent Systems Using Bayesian Networks cites this paper.

Runtime Uncertainty Monitoring for LLM-Based Multi-Agent Systems Using Bayesian Networks LLM-based Multi-Agent Systems: Techniques and Business Perspectives

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-01T01:16:48.534406Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T01:16:48.534406Z digest=sha256:b31788646dcf460a628ddcbd5b03065101c804a7d87be9ef70edd1b1dbfafa46