Pith. sign in

Paper Citation Record · LEDGER

Adaptive Federated LoRA in Heterogeneous Wireless Networks with Independent Sampling

As of 8 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 2026-08-08T06:32:00.761636+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

Resolution
unresolved
no resolver link, observed 2026-08-07T12:52:38.718035Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution
unresolved
no resolver link, observed 2026-08-07T12:52:38.760685Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution
verified fuzzy
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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:52:38.839419Z digest=sha256:f332acabfc457e7dc64b373b392892bd713f75d269e1bc765078ba80941e9ca8

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

Resolution
unresolved
no resolver link, observed 2026-08-07T12:52:38.904877Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution
unresolved
no resolver link, observed 2026-08-07T12:52:39.012981Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution
unresolved
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=sha256:7d063bde94d026215c99b89523bcfb8e0cc2cebefe09a23e559287879c7b3b5d

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

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

Source-reported events for the cited work

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

Resolution
verified fuzzy
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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:52:39.260422Z digest=sha256:037b72c99ae47111b27e943d21def33786cca039cf3bfe514d99554dafcf7b3b

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

Resolution
verified fuzzy
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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:52:39.339149Z digest=sha256:d160e8b0e01bfa18dc45aae6f249b134f4cce1c4a3650cf389555e4a1e435756

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

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

source=pdf_text observed=2026-08-07T12:52:39.434948Z digest=sha256:bac450238f49970af3a1f8cb7ae170c4d576d449e74b25d1e22f14837bddf098

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

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

source=pdf_text observed=2026-08-07T12:52:39.599257Z digest=sha256:d839aeea58689be07b7675428a2af581607dd97a12553aed34dc11ba203422f9

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

Resolution
verified fuzzy
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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:52:39.686736Z digest=sha256:39bcbef65253333e4cbded655480211f256d89372ee09c410355bcbc2aeedbf4

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

Resolution
verified fuzzy
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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:52:39.815337Z digest=sha256:20f7239ad0c3ccbad9bc70fac2894ef25136200ff1a23250dd5fd2d8dea22cb0

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

Resolution
unresolved
no resolver link, observed 2026-08-07T12:52:39.942212Z

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

Resolution
unresolved
no resolver link, observed 2026-08-07T12:52:40.086163Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution
unresolved
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=sha256:6fa88363e9ee5b9a4036070a6a050cc31c839b79c9217a4d4bf9651d46c447b7

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

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

source=pdf_text observed=2026-08-07T12:52:40.386578Z digest=sha256:8958c983166d4b9ec0dc48517d2b366ba4b57a6ab0a9bbbce450cc8380e9f775

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

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

source=pdf_text observed=2026-08-07T12:52:40.471381Z digest=sha256:36c2a5fcd9379106bd12a9e14146bf766e65c93db7ff96eed599e2db8c16b4b2

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

Resolution
unresolved
no resolver link, observed 2026-08-07T12:52:40.598521Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution
verified fuzzy
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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:52:40.747704Z digest=sha256:37bb1899a89a494db12027cea66f86eaff8af7b3c3b4d4c39a26954946d718d6

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

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

source=pdf_text observed=2026-08-07T12:52:40.914245Z digest=sha256:c7a9cec216e1b8f82adfb227820791d456143bd291b1d1cce7bdfd23e8456bea

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

Resolution
unresolved
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

Resolution
unresolved
no resolver link, observed 2026-08-07T12:52:41.157026Z

Source-reported events for the cited work

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

Resolution
unresolved
no resolver link, observed 2026-08-07T12:52:41.243301Z

Source-reported events for the cited work

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

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

source=pdf_text observed=2026-08-07T12:52:41.348468Z digest=sha256:79472abec29716f1b9ce1dc654aecd76e303c69fade7a96af273ea6088b8bbd7

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

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

source=pdf_text observed=2026-08-07T12:52:41.478571Z digest=sha256:9edd738900acba8ae5ec490a01be83686033cb9e4beb387696b06c9911c6d428

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

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

source=pdf_text observed=2026-08-07T12:52:41.621692Z digest=sha256:2c2bc7ae4489ede1a8d959870f6c12dcdee3065e210ff989d48cbbd2b7879a20

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

source=pdf_text observed=2026-08-07T12:52:41.739101Z digest=sha256:676d37bb6e9dc9ce3a6a4e878d2878d0a321ff56b450cc32852edb91417c3159

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

source=pdf_text observed=2026-08-07T12:52:41.864764Z digest=sha256:09a32560f273fe6240475ce0b421541ce66727a533d75c34697446e6467ffaeb

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

source=pdf_text observed=2026-08-07T12:52:41.936110Z digest=sha256:970edaef854f3ed52526adacf7e9396c11ea6323d34648003bfc44a4a2f4350e

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

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

source=pdf_text observed=2026-08-07T12:52:42.261148Z digest=sha256:48ff2305a214db70fac55f9dc4e3a9e05d5032a1d7c8dffdfb0825b8e9cbec77

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

Resolution
unresolved
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

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

source=pdf_text observed=2026-08-07T12:52:42.747193Z digest=sha256:2f6cd4396d30bc48edddc58cc9a195a4e680d14139bd4851147c44a5f64dc96a

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

source=pdf_text observed=2026-08-07T12:52:42.903930Z digest=sha256:59c23cf087303fd7868027dd4ec3632000e55dcb62aba9814476842489d774f2

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

source=pdf_text observed=2026-08-07T12:52:43.081278Z digest=sha256:bcbf479e1bf35a4c3e59f33c37a7cee9be9878cef3256e24a5cdf22e24f8e561

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

source=pdf_text observed=2026-08-07T12:52:43.294745Z digest=sha256:e17858d00d06845b864476871a353b7bed3b8258e77e2927a2f1e6d3855f7b67

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

source=pdf_text observed=2026-08-07T12:52:43.377276Z digest=sha256:1a33379b950170ea7750317d5c78c56f1991e53b23e3b4fdab527bd464a84478

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

source=pdf_text observed=2026-08-07T12:52:43.503949Z digest=sha256:fbb020292de5c8adc44bf0782fd7448c3610dd418b74db0cee084df601c3e05e

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

source=pdf_text observed=2026-08-07T12:52:43.666959Z digest=sha256:10f0125b6b394bcf584ba3a1108e101440e80bb2821ffd3ccd2b0d40b30efebb

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

source=pdf_text observed=2026-08-07T12:52:43.800596Z digest=sha256:f18c178677aaeb92686c969b6e83dd8bfc614746f5babebcb72809f5842fb1e4

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

source=pdf_text observed=2026-06-26T09:29:03.234211Z digest=sha256:dd33bd125ec427b5adc4397309ddf524d95fb13d547660ec784984ab06c11019