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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:f51bbbaf4932741d772865c41abf18ee099c41b9ddf0e48aceb92ef58f91bc72

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=sha256:1a46750d65e72ef927159ff5d89d8ae628b438360414608ada6f403dd91c350b

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=sha256:2241131adfa2d5cab8a035561bbe49cfaea53768a990c13451f1e890d7f1ebd0

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=sha256:35f7a7787449d704206b22f61f7d205e61ab7ad0cb280efbc9bf81ce866454c4

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=sha256:04f538149b7670dbf9c203294053565f083c622b3ff25def878a4c5d559c269c

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:d20636aa70ad31b484621db201e49519ed7dafb6b3d10eaa5aef22c0f60061cf

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=sha256:466b99043f70691e5816808305ee65bd82a6541842ffbc349c1bcad074fbceb9

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:f5bf5fad05f7e1e1c853cb86c6a740b8a34c9f40967ca7d5c08d671808d2dc9e