Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
HAFLQ: Heterogeneous Adaptive Federated LoRA Fine-tuned LLM with Quantization
As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2411.06581.
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 2026-08-17T06:30:58.91139+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T22:03:19.232011Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-21T10:34:07.198977Z
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 c4e95ab1-b43e-4e0d-9b38-d75511e283b4 · inbound
Federated Large Language Models: Feasibility, Robustness, Security and Future Directions cites this paper.
Federated Large Language Models: Feasibility, Robustness, Security and Future Directions HAFLQ: Heterogeneous Adaptive Federated LoRA Fine-tuned LLM with Quantization
Reference 102
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T22:03:19.232011Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ba600240-1c27-4334-accc-6a4297fdeec4 · inbound
Hierarchical Debate-Based Large Language Model (LLM) for Complex Task Planning of 6G Network Management cites this paper.
Hierarchical Debate-Based Large Language Model (LLM) for Complex Task Planning of 6G Network Management HAFLQ: Heterogeneous Adaptive Federated LoRA Fine-tuned LLM with Quantization
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:59:20.593960Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 972fd914-cb6f-4b7f-9603-230674102e06 · inbound
Prompting Wireless Networks: Reinforced In-Context Learning for Power Control cites this paper.
Prompting Wireless Networks: Reinforced In-Context Learning for Power Control HAFLQ: Heterogeneous Adaptive Federated LoRA Fine-tuned LLM with Quantization
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:59:03.329638Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2c377519-9989-4a00-8e45-e30b75a9be7f · inbound
Communication-Aware Knowledge Distillation for Federated LLM Fine-Tuning over Wireless Networks cites this paper.
Communication-Aware Knowledge Distillation for Federated LLM Fine-Tuning over Wireless Networks HAFLQ: Heterogeneous Adaptive Federated LoRA Fine-tuned LLM with Quantization
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T12:17:48.773020Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7e3457b9-2896-4ac6-94b7-9f907d69f673 · inbound
CoLLM: Continuous Adaptation for SLO-Aware LLM Serving on Shared GPU Clusters cites this paper.
CoLLM: Continuous Adaptation for SLO-Aware LLM Serving on Shared GPU Clusters HAFLQ: Heterogeneous Adaptive Federated LoRA Fine-tuned LLM with Quantization
Reference 40
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T10:34:07.201257Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.