Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Distributed Mixture-of-Agents for Edge Inference with Large Language Models
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2412.21200.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T21:16:14.912960Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-20T11:53:14.868585Z
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 dfeca621-250c-4d34-bc33-e4ba534711a7 · inbound
Toward Edge General Intelligence with Multiple-Large Language Model (Multi-LLM): Architecture, Trust, and Orchestration cites this paper.
Toward Edge General Intelligence with Multiple-Large Language Model (Multi-LLM): Architecture, Trust, and Orchestration Distributed Mixture-of-Agents for Edge Inference with Large Language Models
Reference 130
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T21:16:14.912960Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 25bb37db-d3ba-485c-b145-102e33531c4c · inbound
MOTIF: Modular Thinking via Reinforcement Fine-tuning in LLMs cites this paper.
MOTIF: Modular Thinking via Reinforcement Fine-tuning in LLMs Distributed Mixture-of-Agents for Edge Inference with Large Language Models
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T20:23:59.097832Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation aa89c273-0ccc-413d-8bca-551af00449f8 · inbound
Balancing Information Accuracy and Response Timeliness in Networked LLMs cites this paper.
Balancing Information Accuracy and Response Timeliness in Networked LLMs Distributed Mixture-of-Agents for Edge Inference with Large Language Models
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T05:12:30.697237Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 554ce60a-c129-4560-84b4-b0b86fcf3b12 · inbound
Beyond Scaling: Agents Are Heading to the Edge cites this paper.
Beyond Scaling: Agents Are Heading to the Edge Distributed Mixture-of-Agents for Edge Inference with Large Language Models
Reference 34
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T11:53:14.870551Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation eb714716-de51-402f-a343-7b548a63a031 · inbound
Chained Recursive Language Models for Multi-Iteration Reasoning cites this paper.
Chained Recursive Language Models for Multi-Iteration Reasoning Distributed Mixture-of-Agents for Edge Inference with Large Language Models
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T04:47:18.331277Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.