Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
A Quasi-Newton Method Based Vertical Federated Learning Framework for Logistic Regression
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:1912.00513.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T00:16:20.944032Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T04:47:38.135030Z
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 d95f057c-54d0-4cb9-a7d3-7897f4187308 · inbound
Privacy Against Agnostic Inference Attacks in Vertical Federated Learning cites this paper.
Privacy Against Agnostic Inference Attacks in Vertical Federated Learning A Quasi-Newton Method Based Vertical Federated Learning Framework for Logistic Regression
Reference 7
- Resolution
- verified exact
- arxiv_id, observed 2026-05-24T09:19:16.748853Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation cd29e8fe-9d73-415a-a856-1c8caf4dca1d · inbound
Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment cites this paper.
Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment A Quasi-Newton Method Based Vertical Federated Learning Framework for Logistic Regression
Reference 218
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T22:30:45.060522Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 7ecc27c8-be31-468d-a984-f3520792add0 · inbound
Event-Driven Online Vertical Federated Learning cites this paper.
Event-Driven Online Vertical Federated Learning A Quasi-Newton Method Based Vertical Federated Learning Framework for Logistic Regression
Reference 59
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T00:16:20.944032Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a327ee4f-5de0-4d70-a1c9-f50f646981a7 · inbound
FedProxy: Federated Fine-Tuning of LLMs via Proxy SLMs and Heterogeneity-Aware Fusion cites this paper.
FedProxy: Federated Fine-Tuning of LLMs via Proxy SLMs and Heterogeneity-Aware Fusion A Quasi-Newton Method Based Vertical Federated Learning Framework for Logistic Regression
Reference 6
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T12:56:06.192992Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation c038bf9f-5b3a-40de-8dff-31b0ecd3de65 · inbound
Privacy-Preserving Credit Risk Prediction with Alternative Data cites this paper.
Privacy-Preserving Credit Risk Prediction with Alternative Data A Quasi-Newton Method Based Vertical Federated Learning Framework for Logistic Regression
Reference 80
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-03T04:47:38.136392Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.