Paper Citation Record · LEDGER

FedPara: Low-Rank Hadamard Product for Communication-Efficient Federated Learning

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 18 inbound Pith citation observations for arXiv:2108.06098.

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

pith.paper-citation-record.v1
2108.06098 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 18 of 18 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 18 of 18 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T00:46:32.607827Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T10:23:17.950956Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
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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 51148b30-2db3-4c91-b1d7-a8a6ed590b43 · inbound

Functional-level Uncertainty Quantification for Calibrated Fine-tuning on LLMs cites this paper.

Functional-level Uncertainty Quantification for Calibrated Fine-tuning on LLMs FedPara: Low-Rank Hadamard Product for Communication-Efficient Federated Learning

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-23T19:35:47.120177Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 59e7bc6f-f6f9-4969-bc85-3dbe073c77f7 · inbound

An Empirical Study of Vulnerability Detection using Federated Learning cites this paper.

An Empirical Study of Vulnerability Detection using Federated Learning FedPara: Low-Rank Hadamard Product for Communication-Efficient Federated Learning

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-12T13:37:19.219657Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b5837942-df57-4edf-b924-a980e2213aa9 · inbound

LoBAM: LoRA-Based Backdoor Attack on Model Merging cites this paper.

LoBAM: LoRA-Based Backdoor Attack on Model Merging FedPara: Low-Rank Hadamard Product for Communication-Efficient Federated Learning

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-12T14:09:50.188969Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ec1edc00-f081-457a-85df-2ed0b7a32eb0 · inbound

SuperCode: Sustainability PER AI-driven CO-DEsign cites this paper.

SuperCode: Sustainability PER AI-driven CO-DEsign FedPara: Low-Rank Hadamard Product for Communication-Efficient Federated Learning

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-11T17:48:03.153872Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 849e6dea-c90e-4280-9cde-364941a62c03 · inbound

SEAL: Entangled White-box Watermarks on Low-Rank Adaptation cites this paper.

SEAL: Entangled White-box Watermarks on Low-Rank Adaptation FedPara: Low-Rank Hadamard Product for Communication-Efficient Federated Learning

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-10T20:13:25.096093Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 129777ae-b7d4-47d2-9a71-e8dbe407a0d6 · inbound

HSplitLoRA: A Heterogeneous Split Parameter-Efficient Fine-Tuning Framework for Large Language Models cites this paper.

HSplitLoRA: A Heterogeneous Split Parameter-Efficient Fine-Tuning Framework for Large Language Models FedPara: Low-Rank Hadamard Product for Communication-Efficient Federated Learning

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-16T00:46:32.607827Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5dea72ef-8714-42f3-9235-168769055cfb · inbound

EfficientLLM: Efficiency in Large Language Models cites this paper.

EfficientLLM: Efficiency in Large Language Models FedPara: Low-Rank Hadamard Product for Communication-Efficient Federated Learning

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-15T20:13:33.658558Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3250105b-6543-4f89-aeca-7a5a8124601c · inbound

MAP: Revisiting Weight Decomposition for Low-Rank Adaptation cites this paper.

MAP: Revisiting Weight Decomposition for Low-Rank Adaptation FedPara: Low-Rank Hadamard Product for Communication-Efficient Federated Learning

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T12:56:50.559783Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9415457f-5bae-4e19-8ae0-62ff1402d907 · inbound

Assortment of Attention Heads: Accelerating Federated PEFT with Head Pruning and Strategic Client Selection cites this paper.

Assortment of Attention Heads: Accelerating Federated PEFT with Head Pruning and Strategic Client Selection FedPara: Low-Rank Hadamard Product for Communication-Efficient Federated Learning

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-07T12:05:54.572081Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 21e15141-7da7-486f-b32b-788363ecd305 · inbound

LLM-driven Medical Report Generation via Communication-efficient Heterogeneous Federated Learning cites this paper.

LLM-driven Medical Report Generation via Communication-efficient Heterogeneous Federated Learning FedPara: Low-Rank Hadamard Product for Communication-Efficient Federated Learning

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-06T23:34:59.394542Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a18beec2-4c5b-4f58-94ef-427a7311415d · inbound

Parameter-Efficient Fine-Tuning of 3D DDPM for MRI Image Generation Using Tensor Networks cites this paper.

Parameter-Efficient Fine-Tuning of 3D DDPM for MRI Image Generation Using Tensor Networks FedPara: Low-Rank Hadamard Product for Communication-Efficient Federated Learning

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T14:44:59.259766Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b19b4225-8f32-48b5-a87e-c1e360412efd · inbound

Can Smaller LLMs do better? Unlocking Cross-Domain Potential through Parameter-Efficient Fine-Tuning for Text Summarization cites this paper.

Can Smaller LLMs do better? Unlocking Cross-Domain Potential through Parameter-Efficient Fine-Tuning for Text Summarization FedPara: Low-Rank Hadamard Product for Communication-Efficient Federated Learning

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-05T12:43:43.165012Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3d2bf92f-5aa7-4c0c-a0d5-aab2c7da08a0 · inbound

Exploiting Correlations in Federated Learning: Opportunities and Practical Limitations cites this paper.

Exploiting Correlations in Federated Learning: Opportunities and Practical Limitations FedPara: Low-Rank Hadamard Product for Communication-Efficient Federated Learning

Reference 48

Resolution: verified exact; arxiv_id, observed 2026-05-10T10:39:37.718801Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e3827efd-b301-4c5a-b170-b681ef926f0d · inbound

CoLLM: Continuous Adaptation for SLO-Aware LLM Serving on Shared GPU Clusters cites this paper.

CoLLM: Continuous Adaptation for SLO-Aware LLM Serving on Shared GPU Clusters FedPara: Low-Rank Hadamard Product for Communication-Efficient Federated Learning

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-21T10:34:07.204964Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b5b88b36-3c51-414d-8524-2a444488cff1 · inbound

Beyond Feature Fusion: Contextual Bayesian PEFT for Multimodal Uncertainty Estimation cites this paper.

Beyond Feature Fusion: Contextual Bayesian PEFT for Multimodal Uncertainty Estimation FedPara: Low-Rank Hadamard Product for Communication-Efficient Federated Learning

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-10T08:43:01.827471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 169aa03a-6c16-47fb-bea6-170814d001c0 · inbound

Strategic Over-Parameterization for Generalizable Low-Rank Adaptation cites this paper.

Strategic Over-Parameterization for Generalizable Low-Rank Adaptation FedPara: Low-Rank Hadamard Product for Communication-Efficient Federated Learning

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-20T20:13:44.002052Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 4118c0d2-206c-4b9d-9a2e-dac133f33e55 · inbound

Q-LocalAdam: Memory-Efficient Client-Side Adaptive Optimization for Edge Federated Learning cites this paper.

Q-LocalAdam: Memory-Efficient Client-Side Adaptive Optimization for Edge Federated Learning FedPara: Low-Rank Hadamard Product for Communication-Efficient Federated Learning

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-20T14:13:21.244565Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e51ec249-fd3b-4394-9b4f-31325071072c · inbound

Manifold-based Algorithms for the Hadamard Decomposition cites this paper.

Manifold-based Algorithms for the Hadamard Decomposition FedPara: Low-Rank Hadamard Product for Communication-Efficient Federated Learning

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-06-29T10:23:17.952584Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.