Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Federated Full-Parameter Tuning of Billion-Sized Language Models with Communication Cost under 18 Kilobytes
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2312.06353.
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 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-09T19:57:50.427096Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T15:31:07.548744Z
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 c22040e8-806e-404f-989e-461d05cb824a · inbound
Byzantine-Resilient Zero-Order Optimization for Communication-Efficient Heterogeneous Federated Learning cites this paper.
Byzantine-Resilient Zero-Order Optimization for Communication-Efficient Heterogeneous Federated Learning Federated Full-Parameter Tuning of Billion-Sized Language Models with Communication Cost under 18 Kilobytes
Reference 33
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T19:57:50.427096Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b75ded91-a736-4c53-83c3-fc373e7ee5fe · inbound
Beyond End-to-End: Dynamic Chain Optimization for Private LLM Adaptation on the Edge cites this paper.
Beyond End-to-End: Dynamic Chain Optimization for Private LLM Adaptation on the Edge Federated Full-Parameter Tuning of Billion-Sized Language Models with Communication Cost under 18 Kilobytes
Reference 27
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T00:30:51.359394Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation b15a596d-ca5c-44f4-9ce7-ecd7fa69df66 · inbound
AdaMeZO: Adam-style Zeroth-Order Optimizer for LLM Fine-tuning Without Maintaining the Moments cites this paper.
AdaMeZO: Adam-style Zeroth-Order Optimizer for LLM Fine-tuning Without Maintaining the Moments Federated Full-Parameter Tuning of Billion-Sized Language Models with Communication Cost under 18 Kilobytes
Reference 62
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T15:31:07.551674Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.