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Paper Citation Record · LEDGER

A Quasi-Newton Method Based Vertical Federated Learning Framework for Logistic Regression

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:1912.00513.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
1912.00513 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T19:57:01.150922Z

measured 0 of 1 external citation measurements

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-24T09:17:42.702089Z digest=sha256:e23c6182c200fbcfcddcb08af40150a196a907b98edae23e0d4eb469cf40ba50

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-17T22:30:44.520703Z digest=sha256:fe8784d2758c6c0d34d9f27632d15e7ea5b83541305f36eeec1c028b47429bbb

Observation af336a6b-03c3-4b56-98de-f93cbdaf65fd · inbound

Federated Granger Causality Learning for Interdependent Clients with State Space Representation cites this paper.

Federated Granger Causality Learning for Interdependent Clients with State Space Representation A Quasi-Newton Method Based Vertical Federated Learning Framework for Logistic Regression

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-10T15:36:46.459313Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T15:36:46.459313Z digest=sha256:67b6e3c52c079da54916da38249a5333579e1a2ab87c1ed267e4874ab1bcbeec

Observation d8a1e437-3b7a-4677-9343-e181b10eea63 · 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 2026-08-15T19:57:01.150922Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T19:57:01.150922Z digest=sha256:1a8ba6406a79d0ba722c52857fb012a4aa4fefb9f26449fc9ab7ae3ab35ed5f4

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-10T02:35:40.593397Z digest=sha256:4f33a5d4954e0e5fcd213146947151d3336b97452da5423828ae3bee4f4486ed

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-06-27T13:39:49.031993Z digest=sha256:b8bf52f3d7c7f3b76465d851c6faec7e17fd754224c4759996096ce73a0adfe6