Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Heterogeneous LoRA for Federated Fine-tuning of On-Device Foundation Models
As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2401.06432.
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 2026-08-05T06:32:48.257954+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-04T13:30:58.132349Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-07-09T08:16:05.738651Z
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 347cdee2-d545-4bb6-abfe-ac372b75b811 · inbound
Train Large, Deploy Compact: Structured Compression for Compact Low-Rank Adaptation cites this paper.
Train Large, Deploy Compact: Structured Compression for Compact Low-Rank Adaptation Heterogeneous LoRA for Federated Fine-tuning of On-Device Foundation Models
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T13:30:58.132349Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a03939ad-96a2-4474-8825-6c0fe84346d4 · inbound
ParaBlock: Communication-Computation Parallel Block Coordinate Federated Learning for Large Language Models cites this paper.
ParaBlock: Communication-Computation Parallel Block Coordinate Federated Learning for Large Language Models Heterogeneous LoRA for Federated Fine-tuning of On-Device Foundation Models
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T20:29:48.175156Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 41607f42-ecd1-430b-9c44-e96a6841d349 · inbound
FedSpy-LLM: Towards Scalable and Generalizable Data Reconstruction Attacks from Gradients on LLMs cites this paper.
FedSpy-LLM: Towards Scalable and Generalizable Data Reconstruction Attacks from Gradients on LLMs Heterogeneous LoRA for Federated Fine-tuning of On-Device Foundation Models
Reference 27
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-10T23:30:51.420825Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation f0077882-67ca-4096-b7a6-fe88b5f0203e · inbound
Adaptive Selection of LoRA Components in Privacy-Preserving Federated Learning cites this paper.
Adaptive Selection of LoRA Components in Privacy-Preserving Federated Learning Heterogeneous LoRA for Federated Fine-tuning of On-Device Foundation Models
Reference 50
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T18:41:09.251353Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation a5bfd089-c415-4ac4-882f-15d32e1e56b2 · inbound
DP-LAC: Lightweight Adaptive Clipping for Differentially Private Federated Fine-tuning of Language Models cites this paper.
DP-LAC: Lightweight Adaptive Clipping for Differentially Private Federated Fine-tuning of Language Models Heterogeneous LoRA for Federated Fine-tuning of On-Device Foundation Models
Reference 14
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-12T05:31:25.464072Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation db7cb6d3-6cc7-48a2-b9e5-d1aadd1ae27c · inbound
Beyond Parameter Aggregation: Semantic Consensus for Federated Fine-Tuning of LLMs cites this paper.
Beyond Parameter Aggregation: Semantic Consensus for Federated Fine-Tuning of LLMs Heterogeneous LoRA for Federated Fine-tuning of On-Device Foundation Models
Reference 7
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T06:32:24.763266Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation e431fa01-4480-4c07-b68f-3ae6a9e2a930 · inbound
FedMark-FM: Auditable, Risk-Adjusted Data Markets for Federated Foundation-Model Adaptation cites this paper.
FedMark-FM: Auditable, Risk-Adjusted Data Markets for Federated Foundation-Model Adaptation Heterogeneous LoRA for Federated Fine-tuning of On-Device Foundation Models
Reference 24
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-09T08:16:05.741642Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.