Paper Citation Record · LEDGER

Self-Resource Allocation in Multi-Agent LLM Systems

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2504.02051.

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

pith.paper-citation-record.v1
2504.02051 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 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 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:13:59.460274Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T16:52:39.902465Z

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 3214e234-b065-4cb6-9d7d-48871e1fdf97 · inbound

From Large AI Models to Agentic AI: A Tutorial on Future Intelligent Communications cites this paper.

From Large AI Models to Agentic AI: A Tutorial on Future Intelligent Communications Self-Resource Allocation in Multi-Agent LLM Systems

Reference 164

Resolution: unresolved; no resolver link, observed 2026-08-07T13:13:59.460274Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dba397a0-777e-4958-88fe-7f26a1a60de5 · inbound

Evaluating the Efficacy of LLM-Based Reasoning for Multiobjective HPC Job Scheduling cites this paper.

Evaluating the Efficacy of LLM-Based Reasoning for Multiobjective HPC Job Scheduling Self-Resource Allocation in Multi-Agent LLM Systems

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T12:49:36.776979Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 74ae764f-529a-4e93-9aca-3e06dc5cf5cf · inbound

Emergent Social Intelligence Risks in Generative Multi-Agent Systems cites this paper.

Emergent Social Intelligence Risks in Generative Multi-Agent Systems Self-Resource Allocation in Multi-Agent LLM Systems

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-14T21:48:00.786150Z

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.

Observation 0e4ffdcc-57ff-43d1-8cc9-2e66de907851 · 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 Self-Resource Allocation in Multi-Agent LLM Systems

Reference 183

Resolution: verified exact; arxiv_id, observed 2026-05-15T03:08:57.801048Z

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.

Observation 48b23ec3-f9a2-420c-a9b6-58cdbd0128d3 · 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 Self-Resource Allocation in Multi-Agent LLM Systems

Reference 184

Resolution: verified exact; arxiv_id, observed 2026-05-19T16:52:39.903988Z

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.

Observation d5f95049-aa89-4ab0-98ef-18d104164398 · inbound

Multi-Agent LLMs Fail to Explore Each Other cites this paper.

Multi-Agent LLMs Fail to Explore Each Other Self-Resource Allocation in Multi-Agent LLM Systems

Reference 3

Resolution: unresolved; no resolver link, observed 2026-07-14T06:01:28.311572Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.