Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
FedSyn: Synthetic Data Generation using Federated Learning
As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2203.05931.
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 2026-08-15T06:32:42.880941+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-08T15:50:58.631567Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T19:11:35.241950Z
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 8dbcaa5e-5924-411b-bb86-5e0ca43542de · inbound
Provably Near-Optimal Federated Ensemble Distillation with Negligible Overhead cites this paper.
Provably Near-Optimal Federated Ensemble Distillation with Negligible Overhead FedSyn: Synthetic Data Generation using Federated Learning
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T15:50:58.631567Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d5719f2c-93c3-48a6-812a-c04794a50017 · inbound
Federated Timeline Synthesis: Scalable and Private Methodology For Model Training and Deployment cites this paper.
Federated Timeline Synthesis: Scalable and Private Methodology For Model Training and Deployment FedSyn: Synthetic Data Generation using Federated Learning
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T21:51:44.973235Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fd97482e-0794-4294-be21-44fe6c702e6f · inbound
InvestAlign: Overcoming Data Scarcity in Aligning Large Language Models with Investor Decision-Making Processes under Herd Behavior cites this paper.
InvestAlign: Overcoming Data Scarcity in Aligning Large Language Models with Investor Decision-Making Processes under Herd Behavior FedSyn: Synthetic Data Generation using Federated Learning
Reference 2
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-06T19:11:35.313492Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.