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Paper Citation Record · LEDGER

Local and Central Differential Privacy for Robustness and Privacy in Federated Learning

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2009.03561.

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

pith.paper-citation-record.v1
2009.03561 v5

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 2026-08-08T06:32:00.761636+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:43:21.295807Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T08:46:49.023153Z

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 07e7bc06-2564-4ffa-be51-0066316c1f48 · inbound

FedGraM: Defending Against Untargeted Attacks in Federated Learning via Embedding Gram Matrix cites this paper.

FedGraM: Defending Against Untargeted Attacks in Federated Learning via Embedding Gram Matrix Local and Central Differential Privacy for Robustness and Privacy in Federated Learning

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-07T15:43:21.295807Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:43:21.295807Z digest=sha256:44a754aeb3acd8131b7251ed59d6d21c8f94b065be3f1c7d30d479e157cda8c8

Observation c0b7364a-df6e-4da4-ba27-f9e313e64a7d · inbound

Subgraph Counting under Edge Local Differential Privacy Based on Noisy Adjacency Matrix cites this paper.

Subgraph Counting under Edge Local Differential Privacy Based on Noisy Adjacency Matrix Local and Central Differential Privacy for Robustness and Privacy in Federated Learning

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-06T19:10:19.361450Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:10:19.361450Z digest=sha256:7d85c0ca3467628b5d7b7e6769236ce07a297f32ab62c4693150ec209c1d7a78

Observation 321cd6ef-1b69-496f-9e9f-e98d01d5f984 · inbound

A Survey: Towards Privacy and Security in Mobile Large Language Models cites this paper.

A Survey: Towards Privacy and Security in Mobile Large Language Models Local and Central Differential Privacy for Robustness and Privacy in Federated Learning

Reference 78

Resolution
unresolved
no resolver link, observed 2026-08-05T11:39:20.681479Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T11:39:20.681479Z digest=sha256:80c8b286bc9170965cf211cd524197760cbfbbea427b8f30fcaeb8ca2e7ee459

Observation 833423c8-f5a8-45d4-84ab-2383a96ac75a · inbound

Revisiting Privacy Leakage in Machine Unlearning: Membership Inference Beyond the Forgotten Set cites this paper.

Revisiting Privacy Leakage in Machine Unlearning: Membership Inference Beyond the Forgotten Set Local and Central Differential Privacy for Robustness and Privacy in Federated Learning

Reference 64

Resolution
verified exact
arxiv_id, observed 2026-05-11T16:11:08.511358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-09T18:36:21.189195Z digest=sha256:787c6d89a9b2abe62cafcaa55827549981fe79e7666a93a8cd62e2d07a12f953

Observation c2836293-a102-4c24-b237-2d7a622ad688 · inbound

Revisiting Privacy Leakage in Machine Unlearning: Membership Inference Beyond the Forgotten Set cites this paper.

Revisiting Privacy Leakage in Machine Unlearning: Membership Inference Beyond the Forgotten Set Local and Central Differential Privacy for Robustness and Privacy in Federated Learning

Reference 64

Resolution
verified exact
arxiv_id, observed 2026-07-01T07:35:28.941935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-01T07:30:02.278335Z digest=sha256:af410b3ffcccdae5c1253190d59d814454ad739e2fd9cd67e1c25a2a74a1471d

Observation 9949a466-7248-4173-aba0-cb8548cfb81d · inbound

Adaptive Selection of LoRA Components in Privacy-Preserving Federated Learning cites this paper.

Adaptive Selection of LoRA Components in Privacy-Preserving Federated Learning Local and Central Differential Privacy for Robustness and Privacy in Federated Learning

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-05-11T18:41:09.360866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-08T14:50:12.857642Z digest=sha256:0d90c5542d2d6a07bf5e76417342e5b86ae3b69bad1b820eb7016c25b3273feb

Observation 5bb22763-5f54-4a62-98ec-06d90454221b · inbound

DIST-FL: Enhancing Security for TEE-based Aggregation in Federated Learning cites this paper.

DIST-FL: Enhancing Security for TEE-based Aggregation in Federated Learning Local and Central Differential Privacy for Robustness and Privacy in Federated Learning

Reference 73

Resolution
verified exact
arxiv_id, observed 2026-07-02T08:46:49.024588Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-28T05:46:08.181285Z digest=sha256:0fe0021d7cd42a0f1eb7c6ad4586c3541c10eb76354135befa5d170983b31e65