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Paper Citation Record · LEDGER

VAFL: a Method of Vertical Asynchronous Federated Learning

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2007.06081.

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

pith.paper-citation-record.v1
2007.06081 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T19:57:00.900974Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-03T04:47:38.129900Z

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 4ba07e04-d230-4f7e-b9c3-231e980fa11d · inbound

Denoising and Adaptive Online Vertical Federated Learning for Sequential Multi-Sensor Data in Industrial Internet of Things cites this paper.

Denoising and Adaptive Online Vertical Federated Learning for Sequential Multi-Sensor Data in Industrial Internet of Things VAFL: a Method of Vertical Asynchronous Federated Learning

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-10T22:26:28.666642Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:26:28.666642Z digest=sha256:a92a128ed707599e21ae432b6169ca6413617a4d6876258f4872f4f8bc9b3499

Observation e7b31fd5-0dea-4bc9-a858-f3b4b4d619e3 · 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 VAFL: a Method of Vertical Asynchronous Federated Learning

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-10T15:36:46.297780Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T15:36:46.297780Z digest=sha256:1e8a84308473801448b3dacf6b3597dee7f255a3d576ba7822794bee79e9b99a

Observation 924ca5bb-9cae-492d-b5fb-f4e531222063 · inbound

Event-Driven Online Vertical Federated Learning cites this paper.

Event-Driven Online Vertical Federated Learning VAFL: a Method of Vertical Asynchronous Federated Learning

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-15T19:57:00.900974Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T19:57:00.900974Z digest=sha256:2d6105654adb0843d073d925445991bec2b53b0501e9a2c3c7b152a6b3a56d9b

Observation db68c14d-3998-43bc-918d-caa6c7006096 · inbound

SecureAFL: Secure Asynchronous Federated Learning cites this paper.

SecureAFL: Secure Asynchronous Federated Learning VAFL: a Method of Vertical Asynchronous Federated Learning

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-05-13T17:08:01.669465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-13T16:55:09.736811Z digest=sha256:5144a04ec1ffd18757aaf4bd9bdd5edd2f7bea9d1ffa4e85f0c69fa872444a0a

Observation 17dedcf3-e4f9-4ea1-b111-7709a00215c9 · inbound

Scalable and Private Federated Learning Using Distributed Differential Privacy and Secure Aggregation cites this paper.

Scalable and Private Federated Learning Using Distributed Differential Privacy and Secure Aggregation VAFL: a Method of Vertical Asynchronous Federated Learning

Reference 85

Resolution
verified exact
arxiv_id, observed 2026-05-11T05:51:11.044076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-10T17:54:31.930947Z digest=sha256:eb617793202f2297c92c787debe142b1f1a53f97f67a9d257ff15d629002b0c3

Observation 2327a982-22d9-465c-b098-c8e12bbef2f8 · inbound

Reinforcement Learning for Scalable and Trustworthy Intelligent Systems cites this paper.

Reinforcement Learning for Scalable and Trustworthy Intelligent Systems VAFL: a Method of Vertical Asynchronous Federated Learning

Reference 58

Resolution
verified exact
arxiv_id, observed 2026-05-12T07:51:38.080241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-12T01:47:40.772146Z digest=sha256:d6fe8b4d9d995f93d15d381654eaeb3d591305ff995657777a9db74b6f97be46

Observation 6b3d3c85-9039-40ba-a728-bf53d7e4593b · inbound

Privacy-Preserving Credit Risk Prediction with Alternative Data cites this paper.

Privacy-Preserving Credit Risk Prediction with Alternative Data VAFL: a Method of Vertical Asynchronous Federated Learning

Reference 73

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T04:47:38.131366Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-06-27T13:39:49.031993Z digest=sha256:d54738f066a553b8e44942c80b5b32c8cbc0fb3102045e725812c197abe48d67