Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
AdaptSFL: Adaptive Split Federated Learning in Resource-constrained Edge Networks
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2403.13101.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T13:00:58.860062Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-07T04:28:49.866234Z
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 f4dc651b-f064-4691-adaa-0da5e13c3aec · inbound
FSL-SAGE: Accelerating Federated Split Learning via Smashed Activation Gradient Estimation cites this paper.
FSL-SAGE: Accelerating Federated Split Learning via Smashed Activation Gradient Estimation AdaptSFL: Adaptive Split Federated Learning in Resource-constrained Edge Networks
Reference 25
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:00:58.860062Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9b81a4f8-2a76-4ed7-bcf5-2bd23b75cd99 · inbound
HASFL: Heterogeneity-aware Split Federated Learning over Edge Computing Systems cites this paper.
HASFL: Heterogeneity-aware Split Federated Learning over Edge Computing Systems AdaptSFL: Adaptive Split Federated Learning in Resource-constrained Edge Networks
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:19:14.275914Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 49eda17e-a085-4fff-a519-f6cd2a793a1c · 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 AdaptSFL: Adaptive Split Federated Learning in Resource-constrained Edge Networks
Reference 6
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T04:28:49.973960Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.