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Paper Citation Record · LEDGER

Byzantine-Robust Learning on Heterogeneous Datasets via Bucketing

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2006.09365.

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

pith.paper-citation-record.v1
2006.09365 v6

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 2026-08-21T06:32:19.484+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:46:59.265312Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T18:53:51.979806Z

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 52293f56-1210-497d-b8f6-cca42c480a80 · inbound

Weight for Robustness: A Comprehensive Approach towards Optimal Fault-Tolerant Asynchronous ML cites this paper.

Weight for Robustness: A Comprehensive Approach towards Optimal Fault-Tolerant Asynchronous ML Byzantine-Robust Learning on Heterogeneous Datasets via Bucketing

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-10T20:10:43.550047Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T20:10:43.550047Z digest=sha256:537ab602af664ae1278f764709ec0c6916468fd8bb53e68d4c5c7fca000ebb0d

Observation e25f9f37-4b40-439e-a655-34562980dcf0 · inbound

Decoding FL Defenses: Systemization, Pitfalls, and Remedies cites this paper.

Decoding FL Defenses: Systemization, Pitfalls, and Remedies Byzantine-Robust Learning on Heterogeneous Datasets via Bucketing

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-09T14:12:23.198051Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T14:12:23.198051Z digest=sha256:bbecd967417133a4827f2ec0688ee090b0d3006153ac8d530a8dfb71f6c32189

Observation 49e3a2a1-fe5f-4cba-b243-b19c2834a517 · inbound

FL-PLAS: Federated Learning with Partial Layer Aggregation for Backdoor Defense Against High-Ratio Malicious Clients cites this paper.

FL-PLAS: Federated Learning with Partial Layer Aggregation for Backdoor Defense Against High-Ratio Malicious Clients Byzantine-Robust Learning on Heterogeneous Datasets via Bucketing

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-15T20:46:59.265312Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:46:59.265312Z digest=sha256:2c7f1a0c59760a428b83c24572479ca1204258633383c11d33dec32ebb309012

Observation f878b71a-8ab8-4927-9d0e-88c6e3e38174 · 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 Byzantine-Robust Learning on Heterogeneous Datasets via Bucketing

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-07T15:43:20.514911Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:43:20.514911Z digest=sha256:a98fdb2b43c4662d66fea4594008bd2397247937d01447e10a91bbc1701c2fbe

Observation 25cecf19-f81e-477b-8236-a2198692a9cc · inbound

UniVarFL: Uniformity and Variance Regularized Federated Learning for Heterogeneous Data cites this paper.

UniVarFL: Uniformity and Variance Regularized Federated Learning for Heterogeneous Data Byzantine-Robust Learning on Heterogeneous Datasets via Bucketing

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-07T05:22:27.678018Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:22:27.678018Z digest=sha256:a00453e735ef9161c27ccc428acecad3e087ab25375c6d7e68a7f58ddaf91d85

Observation 47004a6c-e9cf-426c-ab4a-a6fc8283e435 · inbound

One-Bit Model Aggregation for Differentially Private and Byzantine-Robust Personalized Federated Learning cites this paper.

One-Bit Model Aggregation for Differentially Private and Byzantine-Robust Personalized Federated Learning Byzantine-Robust Learning on Heterogeneous Datasets via Bucketing

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-06T20:10:58.404804Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:10:58.404804Z digest=sha256:fe42951a05ec4add98c243edea74ce7dcd8759b048959f00b1b5a5511aeadec3

Observation 4c85377c-5ffc-4bee-bbc6-22b7c1099e68 · inbound

A Comprehensive Survey of Electronic Health Record Modeling: From Deep Learning Approaches to Large Language Models cites this paper.

A Comprehensive Survey of Electronic Health Record Modeling: From Deep Learning Approaches to Large Language Models Byzantine-Robust Learning on Heterogeneous Datasets via Bucketing

Reference 128

Resolution
unresolved
no resolver link, observed 2026-08-06T16:42:30.483000Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:42:30.483000Z digest=sha256:4ddeac7558865bbd0389658c611e90e57df784eb87bb06b4eeadcba2bdae2b77

Observation cbcaf4ec-d996-48ae-89ca-58a22d56fa55 · inbound

FLAegis: A Two-Layer Defense Framework for Federated Learning Against Poisoning Attacks cites this paper.

FLAegis: A Two-Layer Defense Framework for Federated Learning Against Poisoning Attacks Byzantine-Robust Learning on Heterogeneous Datasets via Bucketing

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-05T16:20:23.394900Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T16:20:23.394900Z digest=sha256:b1e1aa039317f734a89e5f743c6a5d21831779fd16d1d50b99f894fa8311c23e

Observation 934a93a8-597a-48c8-b6a0-111969349747 · inbound

Adversary-Robust Learning from Fully Asynchronous Directional Derivative Estimates cites this paper.

Adversary-Robust Learning from Fully Asynchronous Directional Derivative Estimates Byzantine-Robust Learning on Heterogeneous Datasets via Bucketing

Reference 126

Resolution
verified exact
arxiv_id, observed 2026-05-12T06:16:25.866254Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-05-12T04:27:35.605021Z digest=sha256:8e51b1e0c49f64768b760d44bf439527ac9d9e1a7efd002f7fd22d36fb37c50a

Observation 97e0e457-8b7a-4e90-a384-efd322e4a850 · inbound

A Wolf in Sheep's Clothing: Targeted Routing Hijacking in Federated RAG cites this paper.

A Wolf in Sheep's Clothing: Targeted Routing Hijacking in Federated RAG Byzantine-Robust Learning on Heterogeneous Datasets via Bucketing

Reference 5

Resolution
malformed identifier
arxiv_id, observed 2026-06-29T11:43:24.172820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-29T11:38:20.766858Z digest=sha256:7bc3c031393f746a8cbf14a52b58037b53fd569671c7d6c72febb489249edb63

Observation 5dc03d78-9876-44bd-8914-b529a9d86c92 · inbound

Dangerous Liaisons of Convex Learning and Non-Affine Aggregation cites this paper.

Dangerous Liaisons of Convex Learning and Non-Affine Aggregation Byzantine-Robust Learning on Heterogeneous Datasets via Bucketing

Reference 136

Resolution
verified exact
arxiv_id, observed 2026-06-29T18:53:51.981441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-06-29T05:00:47.642665Z digest=sha256:da0d9f9144de2ca19f571c65584c04e0a1ae492ba1b519f94c4bcca72299c28c