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Paper Citation Record · LEDGER

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

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 15 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 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 15 of 15 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T14:57:40.978480Z

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 a36afd63-5870-49ed-b6af-99d47caf4ddb · inbound

Vertical Federated Unlearning via Backdoor Certification cites this paper.

Vertical Federated Unlearning via Backdoor Certification Private federated learning on vertically partitioned data via entity resolution and additively homomorphic encryption

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-11T14:57:40.978480Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:57:40.978480Z digest=sha256:6612628b560aa50bef743923fe8611be2c702aa7deb11cacf264dda33effdd8f

Observation c4e65a00-1a84-4577-8568-9d928f5d9af8 · inbound

Concurrent vertical and horizontal federated learning with fuzzy cognitive maps cites this paper.

Concurrent vertical and horizontal federated learning with fuzzy cognitive maps Private federated learning on vertically partitioned data via entity resolution and additively homomorphic encryption

Reference 72

Resolution
unresolved
no resolver link, observed 2026-08-11T13:44:46.813175Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T13:44:46.813175Z digest=sha256:6b284ce398ab8e180d60f0c4d0ce1c95f089d69c5a77832c5c9ce288d8c39e11

Observation e5eaa536-2cd4-4a49-b81b-5c9b0411a0b9 · inbound

Fed-AugMix: Balancing Privacy and Utility via Data Augmentation cites this paper.

Fed-AugMix: Balancing Privacy and Utility via Data Augmentation Private federated learning on vertically partitioned data via entity resolution and additively homomorphic encryption

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-11T12:49:37.543591Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T12:49:37.543591Z digest=sha256:0b24ae157c89fb702e986c2c265e46de5cb85e6850e3df84b7de784505f51fd2

Observation 8b7405f3-c328-40b3-bc0d-ad1f033fc9b8 · 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 Private federated learning on vertically partitioned data via entity resolution and additively homomorphic encryption

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-10T22:26:28.614258Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:26:28.614258Z digest=sha256:111432bb404820e72b6bafa871ccf683cc3c07c63375b14e02e8d66bb1cd1fd3

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.

source=pdf_text observed=2026-08-07T05:24:09.105269Z digest=sha256:8a4bd1f20fcfcd3bfa860965d2e10bae68a3013eed9ea78148e6470c16eb3d2d

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.

source=arxiv_source observed=2026-08-07T00:16:19.355918Z digest=sha256:aec1f02b81a6f18818113aa08401dadb9dd0d120a989154b8e9da46306f97458

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.

source=pdf_text observed=2026-08-06T17:56:02.189122Z digest=sha256:0542144d835f3e525d0fa0663951143624c0524d8455e66384eb0ae4416a8e4d

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.

source=pdf_text observed=2026-08-06T11:45:58.950694Z digest=sha256:120730dd92c84a603269cd96ec56bc8367bc464109d621be2438e4d74597c556

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-10T17:54:31.930947Z digest=sha256:ae2878c3b46fb7ff6c9642db00d2b713e6b991c6ab5bdb10e9e11d85803cd2d7

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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-10T02:35:40.593397Z digest=sha256:4caa41995d00cfa1e5f5a6c2047420fe3b126c0e8f15c95f31efb01cd3a187e3

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-08T02:53:22.811155Z digest=sha256:5ab1fbf24e51500da73122afd1f98e0cd88636e4ded9f8c1b9de6a553bde61dc

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-09T18:42:17.140663Z digest=sha256:e0f004be38066718e2288343d936cefce0cb9d0ebf3bc36b4a873ccd25fce984

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-12T01:06:52.078378Z digest=sha256:f56f8855dc39f9f947494ac9a81be1adbf64d053c0d12f2217b5841bde1d4ada

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-06-29T16:50:52.170021Z digest=sha256:6cf43fd97db2b0232810ae5322b2d9482aa496782d0a59a85387d6f12769add7

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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-06-27T13:39:49.031993Z digest=sha256:4e00900b18dbb9aa14a2b3c3df6da4dff4a75547b66960dfb1ff34947edcc0c3