Paper Citation Record · LEDGER

FedNLP: Benchmarking Federated Learning Methods for Natural Language Processing Tasks

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2104.08815.

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

pith.paper-citation-record.v1
2104.08815 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 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 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T20:11:46.590224Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T21:08:31.831211Z

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 80950e19-eb26-4812-b179-9d8e2e24a5a0 · inbound

LoRA-LiteE: A Computationally Efficient Framework for Chatbot Preference-Tuning cites this paper.

LoRA-LiteE: A Computationally Efficient Framework for Chatbot Preference-Tuning FedNLP: Benchmarking Federated Learning Methods for Natural Language Processing Tasks

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-12T20:11:46.590224Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 933be542-28eb-4151-83f9-bf31bf53ef1d · inbound

When Fine-Tuning LLMs Meets Data Privacy: An Empirical Study of Federated Learning in LLM-Based Program Repair cites this paper.

When Fine-Tuning LLMs Meets Data Privacy: An Empirical Study of Federated Learning in LLM-Based Program Repair FedNLP: Benchmarking Federated Learning Methods for Natural Language Processing Tasks

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-12T04:46:24.222010Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0187a911-ca1f-43f0-8409-397c83c16e5e · inbound

Caesar: A Low-deviation Compression Approach for Efficient Federated Learning cites this paper.

Caesar: A Low-deviation Compression Approach for Efficient Federated Learning FedNLP: Benchmarking Federated Learning Methods for Natural Language Processing Tasks

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-10T23:45:41.446862Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d2976391-ca60-4bb4-bddc-1205bcf31462 · inbound

Adaptive Parameter-Efficient Federated Fine-Tuning on Heterogeneous Devices cites this paper.

Adaptive Parameter-Efficient Federated Fine-Tuning on Heterogeneous Devices FedNLP: Benchmarking Federated Learning Methods for Natural Language Processing Tasks

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-10T23:46:32.895588Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 239cd4a7-0fef-4011-bcc3-ec5b0dda3a5a · 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 FedNLP: Benchmarking Federated Learning Methods for Natural Language Processing Tasks

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T12:05:54.038411Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c5dcf045-2681-4a11-bed9-37e128fe7602 · inbound

FedQuad: Adaptive Layer-wise LoRA Deployment and Activation Quantization for Federated Fine-Tuning cites this paper.

FedQuad: Adaptive Layer-wise LoRA Deployment and Activation Quantization for Federated Fine-Tuning FedNLP: Benchmarking Federated Learning Methods for Natural Language Processing Tasks

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T11:57:57.009214Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fca55663-de64-493e-b8c3-5b7e5d46e2d2 · inbound

Mitigating Catastrophic Forgetting with Adaptive Transformer Block Expansion in Federated Fine-Tuning cites this paper.

Mitigating Catastrophic Forgetting with Adaptive Transformer Block Expansion in Federated Fine-Tuning FedNLP: Benchmarking Federated Learning Methods for Natural Language Processing Tasks

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T10:20:41.197763Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6b0cb917-7ae5-4375-a2ae-73365aec915d · inbound

Federated Learning-Enabled Hybrid Language Models for Communication-Efficient Token Transmission cites this paper.

Federated Learning-Enabled Hybrid Language Models for Communication-Efficient Token Transmission FedNLP: Benchmarking Federated Learning Methods for Natural Language Processing Tasks

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T21:45:47.128602Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d7fdc2d4-54e9-49c9-82c3-f93f1c929ace · inbound

Privacy-Preserving Quantized Federated Learning with Diverse Precision cites this paper.

Privacy-Preserving Quantized Federated Learning with Diverse Precision FedNLP: Benchmarking Federated Learning Methods for Natural Language Processing Tasks

Reference 2022

Resolution: metadata mismatch; local_arxiv, observed 2026-08-06T21:08:31.870015Z

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.

Observation 8e3bd760-66a7-4a21-aa39-277c33f84980 · inbound

ParaBlock: Communication-Computation Parallel Block Coordinate Federated Learning for Large Language Models cites this paper.

ParaBlock: Communication-Computation Parallel Block Coordinate Federated Learning for Large Language Models FedNLP: Benchmarking Federated Learning Methods for Natural Language Processing Tasks

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-03T20:29:49.667652Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.