Paper Citation Record · LEDGER

SEMFED: Semantic-Aware Resource-Efficient Federated Learning for Heterogeneous NLP Tasks

As of 9 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 0 inbound Pith citation observations for arXiv:2505.23801.

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

pith.paper-citation-record.v1
2505.23801 v1

Coverage vector

measured 23 of 23 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:58:01.093776Z

measured 23 of 23 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

23 of 23 outbound references displayed

verified exact0
verified fuzzy14
unresolved9
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation aa378dea-f2c8-4699-8f0b-9c1f8e11f178 · outbound

This paper cites Communication- efficient learning of deep networks from decentralized data,.

SEMFED: Semantic-Aware Resource-Efficient Federated Learning for Heterogeneous NLP Tasks Communication- efficient learning of deep networks from decentralized data,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:58:04.585498Z

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.

Observation 5e7a41e7-cc99-401e-88b5-abc3ca8253c3 · outbound

This paper cites Advances and open problems in federated learning,.

SEMFED: Semantic-Aware Resource-Efficient Federated Learning for Heterogeneous NLP Tasks Advances and open problems in federated learning,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:58:04.381159Z

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.

Observation 667ff839-7794-4135-a3f6-3d6acb82f4ce · outbound

This paper cites FedNLP: Benchmarking federated learning methods for natural language pro- cessing tasks,.

SEMFED: Semantic-Aware Resource-Efficient Federated Learning for Heterogeneous NLP Tasks FedNLP: Benchmarking federated learning methods for natural language pro- cessing tasks,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:58:04.105034Z

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.

Observation 3ac7f8a2-e8ec-4c0c-b8da-df5053a5a7cb · outbound

This paper cites Federated learning for speaker recognition based on self-attention mechanism,.

SEMFED: Semantic-Aware Resource-Efficient Federated Learning for Heterogeneous NLP Tasks Federated learning for speaker recognition based on self-attention mechanism,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:58:03.843116Z

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.

Observation 9623322d-4b24-4ff1-818c-c0d67abeefe9 · outbound

This paper cites Federated Learning: Strategies for Improving Communication Efficiency.

SEMFED: Semantic-Aware Resource-Efficient Federated Learning for Heterogeneous NLP Tasks Federated Learning: Strategies for Improving Communication Efficiency

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T13:57:59.794589Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1c26bd91-4bd3-4f35-bc7b-3414f264b1ca · outbound

This paper cites Federated Learning with Non-IID Data.

SEMFED: Semantic-Aware Resource-Efficient Federated Learning for Heterogeneous NLP Tasks Federated Learning with Non-IID Data

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T13:57:59.877362Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ffcc9dc1-d55b-4d05-b5fa-2aa53bba70ce · outbound

This paper cites A joint learning and communica- tions framework for federated learning over wireless networks,.

SEMFED: Semantic-Aware Resource-Efficient Federated Learning for Heterogeneous NLP Tasks A joint learning and communica- tions framework for federated learning over wireless networks,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:58:03.607445Z

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.

Observation 7aa82d1f-beb6-4e6b-8311-6762bf6dd012 · outbound

This paper cites Federated optimization in heterogeneous networks,.

SEMFED: Semantic-Aware Resource-Efficient Federated Learning for Heterogeneous NLP Tasks Federated optimization in heterogeneous networks,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:58:03.376900Z

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.

Observation c25115c0-37ec-4bf7-a528-67bafb015823 · outbound

This paper cites Adaptive federated learning in resource constrained edge computing systems,.

SEMFED: Semantic-Aware Resource-Efficient Federated Learning for Heterogeneous NLP Tasks Adaptive federated learning in resource constrained edge computing systems,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:58:03.152957Z

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.

Observation ad4ac7f3-c4e4-409a-9ca3-648eff18f344 · outbound

This paper cites HeteroFL: Computation and Communication Efficient Federated Learning for Heterogeneous Clients.

SEMFED: Semantic-Aware Resource-Efficient Federated Learning for Heterogeneous NLP Tasks HeteroFL: Computation and Communication Efficient Federated Learning for Heterogeneous Clients

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T13:58:00.108600Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 148e3c95-ec75-47ba-a9f0-a07fa1352d2f · outbound

This paper cites Federated Optimization in Heterogeneous Networks.

SEMFED: Semantic-Aware Resource-Efficient Federated Learning for Heterogeneous NLP Tasks Federated Optimization in Heterogeneous Networks

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T13:58:00.158497Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4ab672e2-b73c-454d-ab97-e4fb6e5ee5bf · outbound

This paper cites Tackling the objective inconsistency problem in heterogeneous federated opti- mization,.

SEMFED: Semantic-Aware Resource-Efficient Federated Learning for Heterogeneous NLP Tasks Tackling the objective inconsistency problem in heterogeneous federated opti- mization,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:58:02.916989Z

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.

Observation 4a138edc-3637-4bdd-b3e3-05fe24fe21bf · outbound

This paper cites Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training.

SEMFED: Semantic-Aware Resource-Efficient Federated Learning for Heterogeneous NLP Tasks Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T13:58:00.222082Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0d0d7a85-ba4b-4973-a221-90d1e51d3b7f · outbound

This paper cites Model Pruning Enables Efficient Federated Learning on Edge Devices.

SEMFED: Semantic-Aware Resource-Efficient Federated Learning for Heterogeneous NLP Tasks Model Pruning Enables Efficient Federated Learning on Edge Devices

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T13:58:00.260183Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 84335d19-2e7e-4332-b0c3-81c476722d00 · outbound

This paper cites QSGD: Communication-efficient SGD via gradient quantization and encoding,.

SEMFED: Semantic-Aware Resource-Efficient Federated Learning for Heterogeneous NLP Tasks QSGD: Communication-efficient SGD via gradient quantization and encoding,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:58:02.675586Z

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.

Observation 709c9f1b-eb4a-481c-923e-c6bc7544eb05 · outbound

This paper cites Deep neural networks with massive learned knowledge,.

SEMFED: Semantic-Aware Resource-Efficient Federated Learning for Heterogeneous NLP Tasks Deep neural networks with massive learned knowledge,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:58:02.462675Z

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.

Observation f948481e-a079-468b-a164-6c946a6d5bb7 · outbound

This paper cites A secure federated learning framework for 5G networks,.

SEMFED: Semantic-Aware Resource-Efficient Federated Learning for Heterogeneous NLP Tasks A secure federated learning framework for 5G networks,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:58:02.236957Z

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.

Observation e510edee-786e-439e-845a-a7415818972f · outbound

This paper cites MobileBERT: a compact task- agnostic BERT for resource-limited devices,.

SEMFED: Semantic-Aware Resource-Efficient Federated Learning for Heterogeneous NLP Tasks MobileBERT: a compact task- agnostic BERT for resource-limited devices,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:58:02.051425Z

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.

Observation 96d0ae08-156b-49f3-9da1-80f3cf31229c · outbound

This paper cites DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter.

SEMFED: Semantic-Aware Resource-Efficient Federated Learning for Heterogeneous NLP Tasks DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T13:58:00.701352Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 06505bbb-163b-41d9-ad26-d46938c17af7 · outbound

This paper cites TinyBERT: Distilling BERT for Natural Language Understanding.

SEMFED: Semantic-Aware Resource-Efficient Federated Learning for Heterogeneous NLP Tasks TinyBERT: Distilling BERT for Natural Language Understanding

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T13:58:00.809775Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0c833a7a-7c81-4444-95f5-b1f4b7f12ec0 · outbound

This paper cites FedMD: Heterogenous Federated Learning via Model Distillation.

SEMFED: Semantic-Aware Resource-Efficient Federated Learning for Heterogeneous NLP Tasks FedMD: Heterogenous Federated Learning via Model Distillation

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T13:58:00.936539Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ce5ecf7f-861c-4cbf-87ab-d14321a5e26c · outbound

This paper cites Ensemble distillation for robust model fusion in federated learning,.

SEMFED: Semantic-Aware Resource-Efficient Federated Learning for Heterogeneous NLP Tasks Ensemble distillation for robust model fusion in federated learning,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:58:01.798156Z

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.

Observation adf7da23-d7b8-423f-a721-c940faaef51c · outbound

This paper cites Client selection for federated learning with heterogeneous resources in mobile edge,.

SEMFED: Semantic-Aware Resource-Efficient Federated Learning for Heterogeneous NLP Tasks Client selection for federated learning with heterogeneous resources in mobile edge,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:58:01.572149Z

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.

Pith citing papers

No inbound Pith citation observations are available.