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Paper Citation Record · LEDGER

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

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 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 12 of 12 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 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:56:50.559783Z

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

source=pdf_text observed=2026-05-23T19:35:29.917096Z digest=sha256:fa49a2a10c8923d138524961efca3c1eae7b8008c71bd701ab7abcee49de1f5a

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.

source=arxiv_source observed=2026-08-07T12:56:50.559783Z digest=sha256:2a07a2e6cdba023d1cf5693ec4e85058e958b1dea23ddcc8ff20d4a32849af91

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.

source=pdf_text observed=2026-08-07T12:05:54.572081Z digest=sha256:86ae8fad473777f96268af9b4b09e27fac06e041e4bf3213ff59a74780b9beea

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.

source=pdf_text observed=2026-08-06T23:34:59.394542Z digest=sha256:4432cc5e176efdc83fe7f15e56b23d47bd03cf5490b3664833edf7b21c10c2f6

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.

source=pdf_text observed=2026-08-06T14:44:59.259766Z digest=sha256:b4bd1bbc260feb47dfc2e9ee0cb8a831819402edfa07518d40f7ad4fa07b5bf5

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.

source=arxiv_source observed=2026-08-05T12:43:43.165012Z digest=sha256:8cb150d3e369ab3ea8da366e1b83d71662eb9d55e0966e510ee31752e7cf9963

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

source=pdf_text observed=2026-05-10T10:39:23.347685Z digest=sha256:f768030900d41fa021b2a43e7d70f0d276cfbc7ba9016f4b263aa7abadc7a78f

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

source=pdf_text observed=2026-05-21T10:33:00.445749Z digest=sha256:1b9da588eaf76de54808c80e8e7f02052ea625e4a57113a17e6c26cd4f658ad3

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

source=pdf_text observed=2026-05-10T08:40:13.279841Z digest=sha256:6f52e52a4fcbb4329f21877396de46fb1e841f2d99b3040242b1779da077aff4

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

source=pdf_text observed=2026-05-20T20:09:50.546911Z digest=sha256:77c8dd62be6c020c99ddfbdc89dfdaa358e567d42ee492a532b93e7b127a5420

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

source=pdf_text observed=2026-05-20T14:11:53.371521Z digest=sha256:bee6b39f0fb7bde4cd96cfb79bf7732f790345c333c9791948baf6fe5d6b7afa

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

source=pdf_text observed=2026-06-29T10:21:51.030749Z digest=sha256:5832c7dbe6a8d59932f6693f628a545cd3f64cb03bb290889e7ea7b4d3a4626b