Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
SplitFrozen: Split Learning with Device-side Model Frozen for Fine-Tuning LLM on Heterogeneous Resource-Constrained Devices
As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2503.18986.
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 2026-08-22T06:32:14.747728+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-01T16:41:38.199674Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-05T08:00:46.974017Z
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 ce6e37b2-f321-419c-ae0f-b16635ca1526 · inbound
Semantic-aware Token Selection and Resource Optimization for Communication-efficient Split Federated Fine-tuning in Edge Intelligence cites this paper.
Semantic-aware Token Selection and Resource Optimization for Communication-efficient Split Federated Fine-tuning in Edge Intelligence SplitFrozen: Split Learning with Device-side Model Frozen for Fine-Tuning LLM on Heterogeneous Resource-Constrained Devices
Reference 21
- Resolution
- verified exact
- arxiv_id, observed 2026-07-05T08:00:46.976029Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation c1f1d57b-ceab-4689-ad9a-245d7303875b · inbound
AutoEncoder-Compressed Parallel Split Learning for Pre-trained Model Fine-Tuning cites this paper.
AutoEncoder-Compressed Parallel Split Learning for Pre-trained Model Fine-Tuning SplitFrozen: Split Learning with Device-side Model Frozen for Fine-Tuning LLM on Heterogeneous Resource-Constrained Devices
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T16:41:38.199674Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.