Paper Citation Record · LEDGER

Challenges Faced by Large Language Models in Solving Multi-Agent Flocking

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2404.04752.

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

pith.paper-citation-record.v1
2404.04752 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:44:13.242303Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T19:40:06.797483Z

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 79c089a6-5e73-418e-b5c2-7d46e5486517 · inbound

LLM-Flock: Decentralized Multi-Robot Flocking via Large Language Models and Influence-Based Consensus cites this paper.

LLM-Flock: Decentralized Multi-Robot Flocking via Large Language Models and Influence-Based Consensus Challenges Faced by Large Language Models in Solving Multi-Agent Flocking

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-15T22:44:13.242303Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dab6b1f5-dcb0-4645-8143-6b5b9abe0e9b · inbound

LAMARL: LLM-Aided Multi-Agent Reinforcement Learning for Cooperative Policy Generation cites this paper.

LAMARL: LLM-Aided Multi-Agent Reinforcement Learning for Cooperative Policy Generation Challenges Faced by Large Language Models in Solving Multi-Agent Flocking

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-07T11:46:58.432898Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4f41ea6f-bb1a-46d2-97fc-3756158598c4 · inbound

Towards Cognitive Synergy in LLM-Based Multi-Agent Systems: Integrating Theory of Mind and Critical Evaluation cites this paper.

Towards Cognitive Synergy in LLM-Based Multi-Agent Systems: Integrating Theory of Mind and Critical Evaluation Challenges Faced by Large Language Models in Solving Multi-Agent Flocking

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T12:15:05.322414Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 138be015-35e0-42c1-af59-698965d2dacc · inbound

HEART: Coordination of Heterogeneous Expert Agents for Physically Grounded Robotic Task Planning cites this paper.

HEART: Coordination of Heterogeneous Expert Agents for Physically Grounded Robotic Task Planning Challenges Faced by Large Language Models in Solving Multi-Agent Flocking

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-07-04T19:40:06.798996Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.