Paper Citation Record · LEDGER

Private federated learning on vertically partitioned data via entity resolution and additively homomorphic encryption

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:1711.10677.

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

pith.paper-citation-record.v1
1711.10677 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:24:09.105269Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-03T04:47:38.137515Z

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 8faed88e-aa3d-4468-8f60-089503d575dd · inbound

Federated Learning on Stochastic Neural Networks cites this paper.

Federated Learning on Stochastic Neural Networks Private federated learning on vertically partitioned data via entity resolution and additively homomorphic encryption

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T05:24:09.105269Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fedaa22c-10be-4595-b8e0-f32378fde034 · inbound

Event-Driven Online Vertical Federated Learning cites this paper.

Event-Driven Online Vertical Federated Learning Private federated learning on vertically partitioned data via entity resolution and additively homomorphic encryption

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T00:16:19.355918Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3c2c9d3a-6f62-45b1-ac4e-6aa3b31c8073 · inbound

DRAGD: A Federated Unlearning Data Reconstruction Attack Based on Gradient Differences cites this paper.

DRAGD: A Federated Unlearning Data Reconstruction Attack Based on Gradient Differences Private federated learning on vertically partitioned data via entity resolution and additively homomorphic encryption

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-06T17:56:02.189122Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 047fdd2e-f266-4baf-b8db-394023011103 · inbound

Proto-EVFL: Enhanced Vertical Federated Learning via Dual Prototype with Extremely Unaligned Data cites this paper.

Proto-EVFL: Enhanced Vertical Federated Learning via Dual Prototype with Extremely Unaligned Data Private federated learning on vertically partitioned data via entity resolution and additively homomorphic encryption

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-06T11:45:58.950694Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 27d04348-3689-4f82-ade2-4ec36885cf35 · 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 Private federated learning on vertically partitioned data via entity resolution and additively homomorphic encryption

Reference 101

Resolution: verified exact; arxiv_id, observed 2026-05-11T05:51:11.058759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation de981929-5956-4b03-a49b-882aa445e39e · 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 Private federated learning on vertically partitioned data via entity resolution and additively homomorphic encryption

Reference 4

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T12:56:06.207078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation dca1a1c9-f09b-48ba-97a8-0377dc18ca6e · inbound

X-NegoBox: An Explainable Privacy-Budget Negotiation Framework for Secure Peer-to-Peer Energy Data Exchange cites this paper.

X-NegoBox: An Explainable Privacy-Budget Negotiation Framework for Secure Peer-to-Peer Energy Data Exchange Private federated learning on vertically partitioned data via entity resolution and additively homomorphic encryption

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-11T22:21:52.585246Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 4d37ab67-5311-496a-bae3-e91db524f54c · inbound

Split and Aggregation Learning for Foundation Models Over Mobile Embodied AI Network (MEAN): A Comprehensive Survey cites this paper.

Split and Aggregation Learning for Foundation Models Over Mobile Embodied AI Network (MEAN): A Comprehensive Survey Private federated learning on vertically partitioned data via entity resolution and additively homomorphic encryption

Reference 52

Resolution: verified exact; arxiv_id, observed 2026-05-11T16:06:32.418036Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 67c77986-4933-4138-be24-7d047b669676 · inbound

Private Vertical Federated Inference for Time-Series cites this paper.

Private Vertical Federated Inference for Time-Series Private federated learning on vertically partitioned data via entity resolution and additively homomorphic encryption

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-05-12T08:31:23.576940Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 29bc930b-87e2-4a8e-abd6-a1d2f14b8ad7 · inbound

Privacy-Preserving Screening for Record Linkage cites this paper.

Privacy-Preserving Screening for Record Linkage Private federated learning on vertically partitioned data via entity resolution and additively homomorphic encryption

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-06-29T16:53:40.655537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d326aa72-512c-46fc-bc8b-4c9f5b087291 · inbound

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

Privacy-Preserving Credit Risk Prediction with Alternative Data Private federated learning on vertically partitioned data via entity resolution and additively homomorphic encryption

Reference 81

Resolution: metadata mismatch; local_arxiv, observed 2026-07-03T04:47:38.138920Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.