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Paper Citation Record · LEDGER

Adaptive Federated LoRA in Heterogeneous Wireless Networks with Independent Sampling

As of 7 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 1 inbound Pith citation observation for arXiv:2505.23555.

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

pith.paper-citation-record.v1
2505.23555 v3

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:52:43.800596Z

measured 43 of 43 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-26T09:29:03.234211Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T09:49:44.436165Z

Reference resolution

42 of 42 outbound references displayed

  • verified exact0
  • verified fuzzy23
  • unresolved19
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9a029685-9091-4d1d-8736-62e45b118e75 · outbound

This paper cites Improving language understanding by generative pre-training.

Adaptive Federated LoRA in Heterogeneous Wireless Networks with Independent Sampling Improving language understanding by generative pre-training

Reference 1

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source=pdf_text observed=2026-08-07T12:52:38.718035Z digest=sha256:5ecd376da6f830b9d92f0f78f46c9d6a1fed3df286ec4b401cb97c2dc4e9bb2a

Observation ec6c42da-28ea-4358-9193-adc59c218679 · outbound

This paper cites Language models are unsupervised multitask learners.

Adaptive Federated LoRA in Heterogeneous Wireless Networks with Independent Sampling Language models are unsupervised multitask learners

Reference 2

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source=pdf_text observed=2026-08-07T12:52:38.760685Z digest=sha256:13523ca0c9a5b1342146d387a81ab6972fecfc60ea4396ac202dd29fff594d70

Observation 676b7fef-c418-4dbf-b163-12b465e4632a · outbound

This paper cites Llama: Open and efficient foundation language models, 2023.

Adaptive Federated LoRA in Heterogeneous Wireless Networks with Independent Sampling Llama: Open and efficient foundation language models, 2023

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:52:38.839419Z digest=sha256:df24fa7114f0ed2638a60dc085e4ff4a652e05181a8334d15fbe39c726b7eeb5

Observation 7151cff1-7d05-40bc-a041-268cb9f34372 · outbound

This paper cites GPT-4 Technical Report.

Adaptive Federated LoRA in Heterogeneous Wireless Networks with Independent Sampling GPT-4 Technical Report

Reference 4

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T12:52:38.904877Z digest=sha256:b09b8eaca9451343bcf9b0e968b45860d32f3a546a069ab18928d3bea8178ba1

Observation a620e3a7-44d2-40bf-9327-6d3990e2f849 · outbound

This paper cites Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context.

Adaptive Federated LoRA in Heterogeneous Wireless Networks with Independent Sampling Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context

Reference 5

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source=pdf_text observed=2026-08-07T12:52:39.012981Z digest=sha256:d966f57cd30587ebd0f0a3236695d2d4133ecedd451d391f592d9b9e8211e727

Observation 5a891019-11c8-48fb-b412-3d37467e35cf · outbound

This paper cites DeepSeek-V3 Technical Report.

Adaptive Federated LoRA in Heterogeneous Wireless Networks with Independent Sampling DeepSeek-V3 Technical Report

Reference 6

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no resolver link, observed 2026-08-07T12:52:39.103921Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T12:52:39.103921Z digest=sha256:7d063bde94d026215c99b89523bcfb8e0cc2cebefe09a23e559287879c7b3b5d

Observation 4841dd38-8c44-4c15-8886-05394b37537d · outbound

This paper cites an unresolved cited work.

Adaptive Federated LoRA in Heterogeneous Wireless Networks with Independent Sampling Unresolved cited work

Reference 7

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no resolver link, observed 2026-08-07T12:52:39.184136Z

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source=pdf_text observed=2026-08-07T12:52:39.184136Z digest=sha256:42dbc2da4ca319dc0cee9083e917f2e11219661394cbb5860716476ae50aa9f3

Observation d311b708-4faa-46de-aecd-11d1de29745a · outbound

This paper cites Fog and iot: An overview of research opportunities.

Adaptive Federated LoRA in Heterogeneous Wireless Networks with Independent Sampling Fog and iot: An overview of research opportunities

Reference 8

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raw_fallback, observed 2026-08-07T12:52:50.179222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:52:39.260422Z digest=sha256:c8a9bb06f7bb51cade0454c752ee5e3ac0c3e28836317faa78ca51d86de4e322

Observation 2245df17-f0e1-4d5b-bbe4-570e7b38b98e · outbound

This paper cites Federated machine learning: Concept and applications.

Adaptive Federated LoRA in Heterogeneous Wireless Networks with Independent Sampling Federated machine learning: Concept and applications

Reference 9

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raw_fallback, observed 2026-08-07T12:52:50.010673Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:52:39.339149Z digest=sha256:a6bd9a263ab653cefaf8c8865e0b8e1a41863ade5997cc3d209630dac8df27c0

Observation 19659ea9-cd33-47f3-8137-01f0d94a9a7b · outbound

This paper cites Ten challenging problems in federated foundation models.

Adaptive Federated LoRA in Heterogeneous Wireless Networks with Independent Sampling Ten challenging problems in federated foundation models

Reference 10

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raw_fallback, observed 2026-08-07T12:52:49.793923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:52:39.434948Z digest=sha256:15f9c75fe467a03d3bb8fbed96dcce48ec0fef22645bb1b0fbb3dcd42697298c

Observation 7204398b-7ece-411e-bb10-76b2812bb3ec · outbound

This paper cites Machine learning with core ml.

Adaptive Federated LoRA in Heterogeneous Wireless Networks with Independent Sampling Machine learning with core ml

Reference 12

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verified fuzzy
raw_fallback, observed 2026-08-07T12:52:49.606177Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:52:39.599257Z digest=sha256:83b73eda56bd55740a02caaf40113f2e693b766ee08ecef41badbcdccb70a59a

Observation 93ac719e-7780-48c3-8882-e8f5fde0a93d · outbound

This paper cites Federated learning of predictive models from federated electronic health records.

Adaptive Federated LoRA in Heterogeneous Wireless Networks with Independent Sampling Federated learning of predictive models from federated electronic health records

Reference 13

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raw_fallback, observed 2026-08-07T12:52:49.376616Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:52:39.686736Z digest=sha256:5e46a110633c219cce6179af869e0443d9f254ca3b2b03c07dff8a5053040231

Observation cff4f9d1-49ce-47c4-99bd-15d099b39ce4 · outbound

This paper cites Demo: Fedcampus: A real-world privacy-preserving mobile application for smart campus via federated learning & analytics.

Adaptive Federated LoRA in Heterogeneous Wireless Networks with Independent Sampling Demo: Fedcampus: A real-world privacy-preserving mobile application for smart campus via federated learning & analytics

Reference 14

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raw_fallback, observed 2026-08-07T12:52:49.147684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:52:39.815337Z digest=sha256:9b9280cef0126d5f25d1b763b12335303d8efd79879ff9fdb13e3e6be97c2fdb

Observation 3906617a-5edb-4c06-bcc0-cf46a12f1d6c · outbound

This paper cites Towards building the federatedgpt: Federated instruction tuning.

Adaptive Federated LoRA in Heterogeneous Wireless Networks with Independent Sampling Towards building the federatedgpt: Federated instruction tuning

Reference 15

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source=pdf_text observed=2026-08-07T12:52:39.942212Z digest=sha256:b5c89051b79483269946253fa95756246610ac888d064ff6fa1bc3e8bd3cffed

Observation 6a7eb79b-30c4-4486-997b-a47304aed1ae · outbound

This paper cites The Power of Scale for Parameter-Efficient Prompt Tuning.

Adaptive Federated LoRA in Heterogeneous Wireless Networks with Independent Sampling The Power of Scale for Parameter-Efficient Prompt Tuning

Reference 16

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source=pdf_text observed=2026-08-07T12:52:40.086163Z digest=sha256:7db2d0cfed27dd5ba82a1f0da79722871a7cf844c1a71001bbe28b78d6285b8e

Observation e8d3a0b8-b350-4790-9259-adbbe2ca9022 · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

Adaptive Federated LoRA in Heterogeneous Wireless Networks with Independent Sampling LoRA: Low-Rank Adaptation of Large Language Models

Reference 17

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:52:40.237773Z digest=sha256:6fa88363e9ee5b9a4036070a6a050cc31c839b79c9217a4d4bf9651d46c447b7

Observation b8a4007e-498a-4495-b2f2-ae30e530f511 · outbound

This paper cites Prefix-tuning: Optimizing continuous prompts for generation.

Adaptive Federated LoRA in Heterogeneous Wireless Networks with Independent Sampling Prefix-tuning: Optimizing continuous prompts for generation

Reference 18

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raw_fallback, observed 2026-08-07T12:52:48.959815Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:52:40.386578Z digest=sha256:3ffcba863f94bae0a6fc55fc70980ae4328695bec423ba812eeb373ebcde8e1b

Observation cb777134-354d-4f37-a772-7b9ac74a88a9 · outbound

This paper cites Openfedllm: Training large language models on decentralized private data via federated learning.

Adaptive Federated LoRA in Heterogeneous Wireless Networks with Independent Sampling Openfedllm: Training large language models on decentralized private data via federated learning

Reference 19

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raw_fallback, observed 2026-08-07T12:52:48.713081Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:52:40.471381Z digest=sha256:0b96520fdf1172a4f0b2c8ffb5213fc38cb91ba6fdb062dce8216bb33738cc64

Observation 16ca3a84-8cc7-46a8-861e-f6ec12da6982 · outbound

This paper cites On the Convergence of FedAvg on Non-IID Data.

Adaptive Federated LoRA in Heterogeneous Wireless Networks with Independent Sampling On the Convergence of FedAvg on Non-IID Data

Reference 20

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source=pdf_text observed=2026-08-07T12:52:40.598521Z digest=sha256:2fd7a35097670ca56754395b7e7dbe0a6dce3ef79cbc71ee9267619c71255b96

Observation e35b4b7f-0164-4b2d-ac26-4b06c93b27c5 · outbound

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

Adaptive Federated LoRA in Heterogeneous Wireless Networks with Independent Sampling Client selection for federated learning with heterogeneous resources in mobile edge

Reference 21

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raw_fallback, observed 2026-08-07T12:52:48.459088Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:52:40.747704Z digest=sha256:5f7e55260587939fe742e824358d5695146026a6823e4b8fb52a4bc49c6efabb

Observation 893ca112-c3dd-429c-bb74-e94c681f2803 · outbound

This paper cites Cost-effective federated learning in mobile edge networks.

Adaptive Federated LoRA in Heterogeneous Wireless Networks with Independent Sampling Cost-effective federated learning in mobile edge networks

Reference 22

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raw_fallback, observed 2026-08-07T12:52:48.255214Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:52:40.914245Z digest=sha256:1ea2f867ba183f202e9bb95e8ab1d99662704225afa7ad7af2b0f9a4a759ff5e

Observation 2bb01bb4-99a6-44db-94c9-375aef2e1de1 · outbound

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

Adaptive Federated LoRA in Heterogeneous Wireless Networks with Independent Sampling Communication-efficient learning of deep networks from decentralized data

Reference 23

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:52:41.045991Z digest=sha256:73b2ba60d7098bf3e37f2d3d29fba0512a050f6b077d6bdb10c9052333e711e3

Observation f35827fd-fd0f-4179-8445-1cd5184a4a85 · outbound

This paper cites On the Convergence of Local Descent Methods in Federated Learning.

Adaptive Federated LoRA in Heterogeneous Wireless Networks with Independent Sampling On the Convergence of Local Descent Methods in Federated Learning

Reference 24

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source=pdf_text observed=2026-08-07T12:52:41.157026Z digest=sha256:d1cd7901b42ff1467dbeaac0e87e00a1a7e39d0960d9767daabe91b624b78894

Observation a49e624b-4971-4ca6-a777-0a3a70db2a9e · outbound

This paper cites Optimal Client Sampling for Federated Learning.

Adaptive Federated LoRA in Heterogeneous Wireless Networks with Independent Sampling Optimal Client Sampling for Federated Learning

Reference 25

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:52:41.243301Z digest=sha256:b8333355540e2ba7c05430ce78ae3476feb2c3e90ff92cb2a803f6ad5c6f50c2

Observation 39967a3b-c429-4d30-8542-d1d724daf7b6 · outbound

This paper cites Federated learning under im- portance sampling.

Adaptive Federated LoRA in Heterogeneous Wireless Networks with Independent Sampling Federated learning under im- portance sampling

Reference 26

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raw_fallback, observed 2026-08-07T12:52:48.041245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:52:41.348468Z digest=sha256:45fc9a5124043716b43b2da7f6f89f8e0881641f2970ccc961e36e94cc3977f9

Observation 057aff1f-a94a-40f4-9f2b-316ae3cadfb5 · outbound

This paper cites Cost-effective federated learning design.

Adaptive Federated LoRA in Heterogeneous Wireless Networks with Independent Sampling Cost-effective federated learning design

Reference 27

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verified fuzzy
raw_fallback, observed 2026-08-07T12:52:47.869901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:52:41.478571Z digest=sha256:b7f62a7feafd0b41a914978d7f5291f65098728e8f2a46ba63e73b55a9e5d9f9

Observation 542cc41c-9a93-488e-b2ba-e1a5bbbf26fa · outbound

This paper cites Tackling system and statistical heterogeneity for federated learning with adaptive client sampling.

Adaptive Federated LoRA in Heterogeneous Wireless Networks with Independent Sampling Tackling system and statistical heterogeneity for federated learning with adaptive client sampling

Reference 28

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verified fuzzy
raw_fallback, observed 2026-08-07T12:52:47.592922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:52:41.621692Z digest=sha256:8d86931b88c110263573caed1313b49d2252cb0ecaffccac5bedc234d98c57a1

Observation a0dbd8a5-0a2e-4948-ba65-71e0bc76ea43 · outbound

This paper cites Probabilistic client sampling and power allocation for wireless federated learning.

Adaptive Federated LoRA in Heterogeneous Wireless Networks with Independent Sampling Probabilistic client sampling and power allocation for wireless federated learning

Reference 29

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verified fuzzy
raw_fallback, observed 2026-08-07T12:52:47.354281Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:52:41.739101Z digest=sha256:1b08b1310a5cdefaf8ef0816d738c6cf470de21435c29441fcda76243dff21d4

Observation 97ce24d4-dfb9-427e-8171-43b2033af371 · outbound

This paper cites Communication-efficient device scheduling for federated learning using stochastic optimization.

Adaptive Federated LoRA in Heterogeneous Wireless Networks with Independent Sampling Communication-efficient device scheduling for federated learning using stochastic optimization

Reference 30

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verified fuzzy
raw_fallback, observed 2026-08-07T12:52:47.099359Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:52:41.864764Z digest=sha256:6b9a29a6822d5a7c0ae4e7430b89daad5607ddcf9ae30fe3899733d05bdcfdb1

Observation df0f8083-d629-43a0-b7a5-f1d9793611bb · outbound

This paper cites Integration of large language models and federated learning, 2024.

Adaptive Federated LoRA in Heterogeneous Wireless Networks with Independent Sampling Integration of large language models and federated learning, 2024

Reference 31

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verified fuzzy
raw_fallback, observed 2026-08-07T12:52:46.750452Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:52:41.936110Z digest=sha256:523cb68caf448772baa3bf74670c4df47c84ad01046d30258ac84c543f938e39

Observation 584a56ba-faf2-49b1-ba09-05c67d90016d · outbound

This paper cites Improving loRA in privacy-preserving federated learning.

Adaptive Federated LoRA in Heterogeneous Wireless Networks with Independent Sampling Improving loRA in privacy-preserving federated learning

Reference 32

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:52:42.077767Z digest=sha256:58b245ad7b34d731932802d1c8fd815407943d875082b2efe93df4d2fb00a7df

Observation fe0af576-b53f-4123-a1a8-6e2aa8b7d1bd · outbound

This paper cites Federated lora with sparse communication, 2024.

Adaptive Federated LoRA in Heterogeneous Wireless Networks with Independent Sampling Federated lora with sparse communication, 2024

Reference 33

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verified fuzzy
raw_fallback, observed 2026-08-07T12:52:46.445868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:52:42.261148Z digest=sha256:1eab9fa3add76c119f8624c76761a62ed7a328091f6c9a1c29b2eef75e7ec3f5

Observation 5d45a4d4-1d0b-4e8c-b6d5-ca2bb5478180 · outbound

This paper cites Federated fine-tuning of large language models under heterogeneous tasks and client resources.

Adaptive Federated LoRA in Heterogeneous Wireless Networks with Independent Sampling Federated fine-tuning of large language models under heterogeneous tasks and client resources

Reference 34

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no resolver link, observed 2026-08-07T12:52:42.415697Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:52:42.415697Z digest=sha256:e138a9e15333a0458056db4b44ef6196352c7aa4bddc58a6d244fe560bd67c70

Observation f550e3e1-e5b7-45b9-85db-beda9d92b4d8 · outbound

This paper cites Heterogeneous LoRA for federated fine-tuning of on-device foundation models.

Adaptive Federated LoRA in Heterogeneous Wireless Networks with Independent Sampling Heterogeneous LoRA for federated fine-tuning of on-device foundation models

Reference 35

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:52:42.565230Z digest=sha256:877b8507769649325b3cda25d7b9b84ab649856341f5b3c7b888766c2ddb8858

Observation 7c8675da-4aaa-4693-9079-a71bbbf4be02 · outbound

This paper cites Towards federated low-rank adaptation of language models with rank heterogeneity.

Adaptive Federated LoRA in Heterogeneous Wireless Networks with Independent Sampling Towards federated low-rank adaptation of language models with rank heterogeneity

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:52:46.107171Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:52:42.747193Z digest=sha256:c6abce8a045be89ed2546ff7fe1865d371b620bab845deba29c1493e186848b0

Observation a66b0134-7208-4e85-9b31-34abb2d7b731 · outbound

This paper cites Flora: Federated fine-tuning large language models with heterogeneous low-rank adaptations.

Adaptive Federated LoRA in Heterogeneous Wireless Networks with Independent Sampling Flora: Federated fine-tuning large language models with heterogeneous low-rank adaptations

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:52:45.860133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:52:42.903930Z digest=sha256:245068d41499284e3df4ea6d40611fe164867c33d9127a85f537bdeb5175b7ca

Observation 83252525-da77-43a2-8207-e56221d70261 · outbound

This paper cites Towards robust and efficient federated low-rank adaptation with heterogeneous clients, 2024.

Adaptive Federated LoRA in Heterogeneous Wireless Networks with Independent Sampling Towards robust and efficient federated low-rank adaptation with heterogeneous clients, 2024

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:52:45.627445Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:52:43.081278Z digest=sha256:8be771633e0ed8c245730b30ad96557defce7f6083e96c790c093ccc56d20696

Observation 7e654c7e-fee0-45fd-88b8-3def027a8326 · outbound

This paper cites an unresolved cited work.

Adaptive Federated LoRA in Heterogeneous Wireless Networks with Independent Sampling Unresolved cited work

Reference 39

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:52:45.322610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:52:43.294745Z digest=sha256:929a09802b39d35443f746baba78a070311e2404fd8ca59c6ded9b1edb825ded

Observation 67e0f447-5d2a-49d1-be52-d0fe9739e83b · outbound

This paper cites an unresolved cited work.

Adaptive Federated LoRA in Heterogeneous Wireless Networks with Independent Sampling Unresolved cited work

Reference 40

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:52:45.092979Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:52:43.377276Z digest=sha256:1eea8e7fac587ae844d43c99bc27fc69f81bb0f0f7d7d1452017c4bd342f5d6d

Observation 3fea3280-5be1-428d-ba07-0e64c07b7692 · outbound

This paper cites Jones, and Yong Zhou.

Adaptive Federated LoRA in Heterogeneous Wireless Networks with Independent Sampling Jones, and Yong Zhou

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:52:44.830232Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:52:43.503949Z digest=sha256:e0ad8c2246b6a4c0d2ec54c041a682f944600e82d613449fac3d6a9189636396

Observation 2c67cd2d-961d-441d-8cea-c6239daba89b · outbound

This paper cites Leung, and Leandros Tassiulas.

Adaptive Federated LoRA in Heterogeneous Wireless Networks with Independent Sampling Leung, and Leandros Tassiulas

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:52:44.525972Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:52:43.666959Z digest=sha256:48c367ff85cd718f49570f4d66fd6171f7029b46e275abe3b0798bcb5a7f6d38

Observation 46e87eb0-df62-4a4c-8182-6107761199f6 · outbound

This paper cites an unresolved cited work.

Adaptive Federated LoRA in Heterogeneous Wireless Networks with Independent Sampling Unresolved cited work

Reference 43

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:52:44.218150Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:52:43.800596Z digest=sha256:906ea26e545315033cea79863554bd5f44fe18f8fd6cc51a2d2f41480cd4213a

Pith citing papers

Observation ef67fa4d-6738-4033-9ac7-af3beab00b0c · inbound

Priority-Aware Learning-Unlearning Correction for Dynamic Decentralized LoRA Fine-Tuning cites this paper.

Priority-Aware Learning-Unlearning Correction for Dynamic Decentralized LoRA Fine-Tuning Adaptive Federated LoRA in Heterogeneous Wireless Networks with Independent Sampling

Reference 45

Resolution
verified exact
arxiv_id, observed 2026-07-04T09:49:44.437605Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-26T09:29:03.234211Z digest=sha256:d6f65d95b44539724b66ba3be2fa4f1aa6e53cefa95767e02fae2230db20db21