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Paper Citation Record · LEDGER

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

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 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 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T06:52:33.598322Z

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 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:aa830bd8c0266739ac69130bee066c6dcb6e4e345a305805028d9bfbb4b3b358

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:da5fd4a5d04cbc9d0514a73cf62b1412c5f5d6b22fd76bfb5c964030fd4ccc55

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 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-14T20:10:36.101426Z digest=sha256:2b885fa77684603cfe3f0757520bc67af7ba00579f63ffdbe94290796a2781e4

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 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-15T03:07:38.232966Z digest=sha256:1ee242f9fda4b67481520f3a27ea71ad764baa6e697245092bedde61eb93ec87

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 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-19T16:51:13.491389Z digest=sha256:e4445886fb7da529d0946244b62092c1952595d91bd09e3decc30cce57c91c55

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