Paper Citation Record · LEDGER

Model Swarms: Collaborative Search to Adapt LLM Experts via Swarm Intelligence

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2410.11163.

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

pith.paper-citation-record.v1
2410.11163 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T16:32:08.371617Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T11:53:14.879223Z

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 8f95b202-6b3b-4e5f-a9c8-d710ef3ad7e4 · inbound

When One LLM Drools, Multi-LLM Collaboration Rules cites this paper.

When One LLM Drools, Multi-LLM Collaboration Rules Model Swarms: Collaborative Search to Adapt LLM Experts via Swarm Intelligence

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-08T22:33:09.253656Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5cbde679-0191-4f4c-8b00-ea23ca1e9e7c · inbound

Decouple and Orthogonalize: A Data-Free Framework for LoRA Merging cites this paper.

Decouple and Orthogonalize: A Data-Free Framework for LoRA Merging Model Swarms: Collaborative Search to Adapt LLM Experts via Swarm Intelligence

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T15:18:13.485270Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d985e190-dc36-4abe-8120-2686116cfdd8 · inbound

The Avengers: A Simple Recipe for Uniting Smaller Language Models to Challenge Proprietary Giants cites this paper.

The Avengers: A Simple Recipe for Uniting Smaller Language Models to Challenge Proprietary Giants Model Swarms: Collaborative Search to Adapt LLM Experts via Swarm Intelligence

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-07T14:12:39.402491Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 733253d7-b3d9-40ee-b755-673c64c1964c · inbound

Why Do More Experts Fail? A Theoretical Analysis of Model Merging cites this paper.

Why Do More Experts Fail? A Theoretical Analysis of Model Merging Model Swarms: Collaborative Search to Adapt LLM Experts via Swarm Intelligence

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T13:44:33.011741Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fd6c42cf-0b05-4b8c-b0d1-cdf3dde4e98a · inbound

PSO-Merging: Merging Models Based on Particle Swarm Optimization cites this paper.

PSO-Merging: Merging Models Based on Particle Swarm Optimization Model Swarms: Collaborative Search to Adapt LLM Experts via Swarm Intelligence

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-05T15:30:25.150094Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8a232189-12cc-4b03-846e-d887461aa1be · inbound

Delta Activations: A Representation for Finetuned Large Language Models cites this paper.

Delta Activations: A Representation for Finetuned Large Language Models Model Swarms: Collaborative Search to Adapt LLM Experts via Swarm Intelligence

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-15T16:32:08.371617Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eca5994c-3759-4a09-a76c-95c4cbcbbe5f · inbound

Weak-Link Optimization for Multi-Agent Reasoning and Collaboration cites this paper.

Weak-Link Optimization for Multi-Agent Reasoning and Collaboration Model Swarms: Collaborative Search to Adapt LLM Experts via Swarm Intelligence

Reference 47

Resolution: verified exact; arxiv_id, observed 2026-05-10T08:58:13.163708Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation ce5dcd7c-e3f3-48bf-98b0-1593a4917d3e · inbound

Beyond Scaling: Agents Are Heading to the Edge cites this paper.

Beyond Scaling: Agents Are Heading to the Edge Model Swarms: Collaborative Search to Adapt LLM Experts via Swarm Intelligence

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-20T11:53:14.881235Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 8136dc5a-07b1-4f2e-b234-6e7f0e14e379 · inbound

Asymmetric Collapse in Model Merging: When Refusal Over- writes Recognition cites this paper.

Asymmetric Collapse in Model Merging: When Refusal Over- writes Recognition Model Swarms: Collaborative Search to Adapt LLM Experts via Swarm Intelligence

Reference 16

Resolution: unresolved; no resolver link, observed 2026-07-31T23:38:26.708401Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.