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Paper Citation Record · LEDGER

Adaptive Federated LoRA in Heterogeneous Wireless Networks with Independent Sampling

As of 17 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 2026-08-16T06:30:59.297886+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-reported events for the cited work

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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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raw_fallback, observed 2026-08-07T12:52:50.406178Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T12:52:38.839419Z digest=sha256:3c12e9147e9be78a28222b2f490c525320174f1a00762db24e41dc1e7327888f

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=pdf_text observed=2026-08-07T12:52:38.904877Z digest=sha256:fcccce26549a58194e810afad97fc055e727f6ca83a3504af31db2982b529de9

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-reported events for the cited work

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source=pdf_text observed=2026-08-07T12:52:39.012981Z digest=sha256:2990ccd4697e0af49f01478ef20454b2cc693303a3f71af4c9f89a355738fee6

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

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:52:39.103921Z digest=sha256:7c4033b13a24026ea25cb019f16f265b7304604f4e2bbd0cadb8c11bcba4cf80

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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Unavailable: canonical work link unavailable.

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T12:52:39.260422Z digest=sha256:457d51af970c81509768d15d8a1f895a74efd983fc673c5f99cb70269225d3e7

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T12:52:39.339149Z digest=sha256:8f17bd432c93c562a20a78a469db861b2428a1c62896f56bc3a74ab13801fd23

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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verified fuzzy
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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T12:52:39.434948Z digest=sha256:c6238ada2499fc473c5b306e1a6ecfc799714c328e00233eb78cf79c8bd75e85

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T12:52:39.599257Z digest=sha256:4d2a733ed5ff4e2def48e8f84930b45511885dfa020e92441f2561ea39422225

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T12:52:39.686736Z digest=sha256:b3fdb775a633d1bb216793dc65feeb999831c6fcdcfe41c41c5dbbecc3e6b009

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T12:52:39.815337Z digest=sha256:caf84b4e0b3e479aa84a79d81b39935571e01cb76ecb94061cccc7a281108919

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-reported events for the cited work

Unavailable: canonical work link unavailable.

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-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:52:40.086163Z digest=sha256:c37ceaa008e03d7d1a35b7a75e314b72f69f93ac042a3bc453a741edda3dfa02

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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no resolver link, observed 2026-08-07T12:52:40.237773Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:52:40.237773Z digest=sha256:705929af82c8495fe4daf039c90147d04d152f518079192fd13fc122beb6bf4e

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

Resolution
verified fuzzy
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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T12:52:40.386578Z digest=sha256:043eadccf1cb1562b0f6d4e6b3ff583f3d97a838587d7bc823fefbac2644dd53

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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verified fuzzy
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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T12:52:40.471381Z digest=sha256:5a0742d5b6c1e19ba84d89a6c6b0abdf933555de2530d9659d34e6e4cbba4509

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:fa1774782430aa67f6c5a7f3c78bb5cdf8fb3f7c6703db727b9f64e9954dc6db

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T12:52:40.747704Z digest=sha256:7b2bb2c479dc12491c5a4ac76ae9d9047ff15095ff441d82e0a37aa3586e877c

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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verified fuzzy
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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T12:52:40.914245Z digest=sha256:7be6f9d1bb54774b237e354a8fa91dd858d7cb1e5c1bd0e304e177e66adb567a

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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no resolver link, observed 2026-08-07T12:52:41.045991Z

Source-reported events for the cited work

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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Unavailable: canonical work link unavailable.

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:52:41.243301Z digest=sha256:8e9aa0a14e443e4f1a6a029aa78d801d7431e1ef57a2b21ba68838c877f1f3cd

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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verified fuzzy
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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T12:52:41.348468Z digest=sha256:30c5c539af901b371e6ba5d00892797cabdf6edf37d0464ca6e686982dc3550d

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T12:52:41.478571Z digest=sha256:e793b792357f593615d34575ec17f39c475fcfd409fb354cc20016b25e0907e3

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T12:52:41.621692Z digest=sha256:b2b7c2a2734cce8d0eeeb5c3b4ca6a95d6dda1545a601af31efe5c3c09b53b84

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

Resolution
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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T12:52:41.739101Z digest=sha256:707fa754e712c5de6de991796916a85774a3dd49f3217152de6f418573645e17

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

Resolution
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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T12:52:41.864764Z digest=sha256:293e2da5dd46a6c5144dc223cfd186ec64aeaf53af95d0ba9febeaa8aa9fff33

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

Resolution
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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T12:52:41.936110Z digest=sha256:595f57805c06bd9a4b582cdf89738bf2a623ded29f0f64be0adf515f25e5b380

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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no resolver link, observed 2026-08-07T12:52:42.077767Z

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

Resolution
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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T12:52:42.261148Z digest=sha256:e05e38ca01068f8c95fdafb8cf00161f0fcfae042540f8cfe56456820fd23307

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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no resolver link, observed 2026-08-07T12:52:42.565230Z

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T12:52:42.747193Z digest=sha256:f19b193dc20fa47b6106fd7b6f12a03cb4a7f9fa23fef7360fcb1b42ec2ce3de

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T12:52:42.903930Z digest=sha256:22c455fbcbd2c8ca944cb37c99d84e750d566af3d7e0a60e31a9186e9168683a

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T12:52:43.081278Z digest=sha256:648ccf5fdcf7cb958125cff4ce2b3704eff3b7c56983c872a41d88a205ecb9c0

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T12:52:43.294745Z digest=sha256:74ace99f5e8e27565c3ddc8e15959f5d7f2a0a5dcfc31ee94c00c760c618d9b9

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T12:52:43.377276Z digest=sha256:1772b322d364332b077903b01af025917a94738f8ab4928078b4564ef69a75d4

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T12:52:43.503949Z digest=sha256:642d9334e215c083780119d86314249e4afb6f43160792f5061e04f778c0e47b

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T12:52:43.666959Z digest=sha256:fd48529792ae2ff29aa33c8d8620ee7309986b05c732fa379a95de61cbaeb78e

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T12:52:43.800596Z digest=sha256:43c609a21c094d5532a7af2c1e191f5ce7e87fe763e2fc3a0ab2706eba492073

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-06-26T09:29:03.234211Z digest=sha256:9907585cc62e9f3bc0d84d25588a86098c8cfb2e9d2c686f30a3c75604b2dbb7