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Paper Citation Record · LEDGER

Navigating Complexity: Orchestrated Problem Solving with Multi-Agent LLMs

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2402.16713.

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

pith.paper-citation-record.v1
2402.16713 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 2026-08-12T06:34:41.77262+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T17:15:14.410527Z

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 00de56fe-1fda-48e6-b5c4-41083e21029f · inbound

From Cool Demos to Production-Ready FMware: Core Challenges and a Technology Roadmap cites this paper.

From Cool Demos to Production-Ready FMware: Core Challenges and a Technology Roadmap Navigating Complexity: Orchestrated Problem Solving with Multi-Agent LLMs

Reference 85

Resolution
verified exact
arxiv_id, observed 2026-05-23T19:08:20.983250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-23T19:07:21.016824Z digest=sha256:fbc5266557681e7454422316500c20303d25a4c466c163f8aa7b01143992e292

Observation 34e8ce25-95e2-453a-acfb-d83ca01c98f7 · inbound

Conversational Medical AI: Ready for Practice cites this paper.

Conversational Medical AI: Ready for Practice Navigating Complexity: Orchestrated Problem Solving with Multi-Agent LLMs

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-12T17:15:14.410527Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:15:14.410527Z digest=sha256:670dcdb7b3695aadb19b660a0792cc4ab1075122f120e8004ca7185ad6dd2a9d

Observation b5b99e66-4729-4bb3-b19f-6710c53973d9 · inbound

LLM4SR: A Survey on Large Language Models for Scientific Research cites this paper.

LLM4SR: A Survey on Large Language Models for Scientific Research Navigating Complexity: Orchestrated Problem Solving with Multi-Agent LLMs

Reference 125

Resolution
unresolved
no resolver link, observed 2026-08-10T21:39:25.603585Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:39:25.603585Z digest=sha256:d22464fde8b826222204d606dcb3cd17446b8bf2e47133c288674c396180f2c4

Observation 1f934584-f5dc-43ec-a71e-978f4d7601e3 · inbound

Do as We Do, Not as You Think: the Conformity of Large Language Models cites this paper.

Do as We Do, Not as You Think: the Conformity of Large Language Models Navigating Complexity: Orchestrated Problem Solving with Multi-Agent LLMs

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-10T16:16:52.539743Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T16:16:52.539743Z digest=sha256:0c5686b92978ae3ece59092e44ba38ce35d79948274cc6cde8f5f456ff04cf9a

Observation f583efd0-7200-4071-826e-30747f0dce3a · inbound

Literature Review Of Multi-Agent Debate For Problem-Solving cites this paper.

Literature Review Of Multi-Agent Debate For Problem-Solving Navigating Complexity: Orchestrated Problem Solving with Multi-Agent LLMs

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-07T12:47:36.720110Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:47:36.720110Z digest=sha256:64ca410a8b3319721c2f565492b10e9e94c3e5f1d4cdad545c1edf5e0d00bda3

Observation eb3b0634-ee94-4468-b44b-d61fe472576c · inbound

The Prompt Engineering Report Distilled: Quick Start Guide for Life Sciences cites this paper.

The Prompt Engineering Report Distilled: Quick Start Guide for Life Sciences Navigating Complexity: Orchestrated Problem Solving with Multi-Agent LLMs

Reference 102

Resolution
verified exact
arxiv_id, observed 2026-05-18T16:41:38.094748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-18T16:39:03.794436Z digest=sha256:3ee47fd2b73f914e4d85f46303a181aadfc98c5e3cd0f5a75788c90981fe3975

Observation ae2a582f-9bb3-427e-92cc-5d3d122b2874 · inbound

The Prompt Engineering Report Distilled: Quick Start Guide for Life Sciences cites this paper.

The Prompt Engineering Report Distilled: Quick Start Guide for Life Sciences Navigating Complexity: Orchestrated Problem Solving with Multi-Agent LLMs

Reference 103

Resolution
metadata mismatch
arxiv_id, observed 2026-05-18T16:41:37.514163Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-18T16:39:03.794436Z digest=sha256:0db741574eecb0666994af139de8b13dd8f67142d09985a76ea0051b5b998abe

Observation 320d0249-f5e1-43b5-b36c-c4b5c894ebb7 · inbound

Iterative Critique-and-Routing Controller for Multi-Agent Systems with Heterogeneous LLMs cites this paper.

Iterative Critique-and-Routing Controller for Multi-Agent Systems with Heterogeneous LLMs Navigating Complexity: Orchestrated Problem Solving with Multi-Agent LLMs

Reference 26

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T08:26:24.453810Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-12T01:10:03.459912Z digest=sha256:fdfe8764e2c78c7b4f84e71a4faed8ed8512094aa9db496a764acdb0f949ae89