Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Automated Federated Pipeline for Parameter-Efficient Fine-Tuning of Large Language Models
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2404.06448.
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 2026-08-07T05:19:13.077585Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T18:41:09.141387Z
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 006ef0b5-57c1-47a2-8eec-c8faca2d4ff2 · inbound
HASFL: Heterogeneity-aware Split Federated Learning over Edge Computing Systems cites this paper.
HASFL: Heterogeneity-aware Split Federated Learning over Edge Computing Systems Automated Federated Pipeline for Parameter-Efficient Fine-Tuning of Large Language Models
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:19:13.077585Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 64471ad8-5c5f-48f8-8480-c70048f33c74 · inbound
Defensive Adversarial CAPTCHA: A Semantics-Driven Framework for Natural Adversarial Example Generation cites this paper.
Defensive Adversarial CAPTCHA: A Semantics-Driven Framework for Natural Adversarial Example Generation Automated Federated Pipeline for Parameter-Efficient Fine-Tuning of Large Language Models
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T04:28:29.204819Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 16ad7491-df97-4212-b036-8887fe027ada · inbound
A Satellite-Ground Synergistic Large Vision-Language Model System for Earth Observation cites this paper.
A Satellite-Ground Synergistic Large Vision-Language Model System for Earth Observation Automated Federated Pipeline for Parameter-Efficient Fine-Tuning of Large Language Models
Reference 47
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T19:24:41.857105Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5509b089-c443-4ed9-b5a3-c8cfe5058654 · inbound
PHandover: Parallel Handover in Mobile Satellite Network cites this paper.
PHandover: Parallel Handover in Mobile Satellite Network Automated Federated Pipeline for Parameter-Efficient Fine-Tuning of Large Language Models
Reference 62
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:45:38.797840Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f96b75d9-a429-4e46-93b0-5db02dfa15e0 · inbound
Dynamic Uncertainty-aware Multimodal Fusion for Outdoor Health Monitoring cites this paper.
Dynamic Uncertainty-aware Multimodal Fusion for Outdoor Health Monitoring Automated Federated Pipeline for Parameter-Efficient Fine-Tuning of Large Language Models
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T21:14:36.290338Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cd58f7a6-7d79-41a2-bd6e-166b9a9e903a · inbound
FFT-MoE: Efficient Federated Fine-Tuning for Foundation Models via Large-scale Sparse MoE under Heterogeneous Edge cites this paper.
FFT-MoE: Efficient Federated Fine-Tuning for Foundation Models via Large-scale Sparse MoE under Heterogeneous Edge Automated Federated Pipeline for Parameter-Efficient Fine-Tuning of Large Language Models
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T16:22:25.418475Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f5a97e80-3aed-4033-a74d-85bfdafe000d · inbound
Adaptive Selection of LoRA Components in Privacy-Preserving Federated Learning cites this paper.
Adaptive Selection of LoRA Components in Privacy-Preserving Federated Learning Automated Federated Pipeline for Parameter-Efficient Fine-Tuning of Large Language Models
Reference 51
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T18:41:09.155341Z
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.