Paper Citation Record · LEDGER

AirLLM: Diffusion Policy-based Adaptive LoRA for Remote Fine-Tuning of LLM over the Air

As of 16 August 2026, this Paper Citation Record lists 50 of 50 outbound references and 1 inbound Pith citation observation for arXiv:2507.11515.

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

pith.paper-citation-record.v1
2507.11515 v1

Coverage vector

measured 50 of 50 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:16:11.555301Z

measured 51 of 51 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 2026-08-06T17:16:05.343599Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T17:16:12.878356Z

Reference resolution

50 of 50 outbound references displayed

verified exact3
verified fuzzy32
unresolved13
parse uncertain0
malformed identifier1
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a7f9bda2-8304-49f1-889e-f0a347b3eff8 · outbound

This paper cites , L} contains a self-attention (SA) block and an FFN block.

AirLLM: Diffusion Policy-based Adaptive LoRA for Remote Fine-Tuning of LLM over the Air , L} contains a self-attention (SA) block and an FFN block

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:16:20.234591Z

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.

Observation 43d3a04a-42d7-48cf-b890-79bc9dedd02c · outbound

This paper cites an unresolved cited work.

AirLLM: Diffusion Policy-based Adaptive LoRA for Remote Fine-Tuning of LLM over the Air Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-06T17:16:20.065567Z

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.

Observation 79e705de-899f-4553-a5e2-228fa6413e6b · outbound

This paper cites an unresolved cited work.

AirLLM: Diffusion Policy-based Adaptive LoRA for Remote Fine-Tuning of LLM over the Air Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-08-06T17:16:19.360685Z

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.

Observation 95ca019a-dbf4-4475-a06f-f54cd7f2a08d · outbound

This paper cites Scaling Down to Scale Up: A Guide to Parameter-Efficient Fine-Tuning.

AirLLM: Diffusion Policy-based Adaptive LoRA for Remote Fine-Tuning of LLM over the Air Scaling Down to Scale Up: A Guide to Parameter-Efficient Fine-Tuning

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-06T17:16:06.881395Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1795a6ec-6e82-495d-a5a4-2b252c3c3ff2 · outbound

This paper cites To enable adaptive rank configuration under real-world constraints such as wireless bandwidth and task complexity, we formulate the rank allocation as an MDP (S, A, R).

AirLLM: Diffusion Policy-based Adaptive LoRA for Remote Fine-Tuning of LLM over the Air To enable adaptive rank configuration under real-world constraints such as wireless bandwidth and task complexity, we formulate the rank allocation as an MDP (S, A, R)

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:16:19.942746Z

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.

Observation c39a2e92-f70d-4cf4-aefe-52c7ac3f7dc2 · outbound

This paper cites AirLLM: Diffusion Policy-based Adaptive LoRA for Remote Fine-Tuning of LLM over the Air.

AirLLM: Diffusion Policy-based Adaptive LoRA for Remote Fine-Tuning of LLM over the Air AirLLM: Diffusion Policy-based Adaptive LoRA for Remote Fine-Tuning of LLM over the Air

Reference 6

Resolution: metadata mismatch; local_arxiv, observed 2026-08-06T17:16:13.002009Z

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.

Observation 266bd7e0-6280-4b65-ba3e-242f063bc3f9 · outbound

This paper cites Beforehand, we briefly present the key ingre- dients related to PPO.

AirLLM: Diffusion Policy-based Adaptive LoRA for Remote Fine-Tuning of LLM over the Air Beforehand, we briefly present the key ingre- dients related to PPO

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:16:19.828781Z

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.

Observation e30eee6a-d37f-400d-9192-62834571984e · outbound

This paper cites Notably, DDIM shares the same training objective and noise schedule as DDPM, with the main distinction residing in the sampling procedure used during inference.

AirLLM: Diffusion Policy-based Adaptive LoRA for Remote Fine-Tuning of LLM over the Air Notably, DDIM shares the same training objective and noise schedule as DDPM, with the main distinction residing in the sampling procedure used during inference

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:16:19.690043Z

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.

Observation bbbff032-7f88-4f71-a1b6-e355fcd9c73d · outbound

This paper cites an unresolved cited work.

AirLLM: Diffusion Policy-based Adaptive LoRA for Remote Fine-Tuning of LLM over the Air Unresolved cited work

Reference 9

Resolution: unresolved; raw_fallback, observed 2026-08-06T17:16:19.559729Z

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.

Observation edc21c4e-67df-4484-93fc-90a7a19dd0d1 · outbound

This paper cites Pre-trained models for natural language processing: A survey,.

AirLLM: Diffusion Policy-based Adaptive LoRA for Remote Fine-Tuning of LLM over the Air Pre-trained models for natural language processing: A survey,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:16:17.774007Z

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.

Observation 953734cc-a0a9-46d8-bad1-4bf37a0ad080 · outbound

This paper cites Notably, we also study the performance differences when using MLP and U-Net as backbones of DDIM.

AirLLM: Diffusion Policy-based Adaptive LoRA for Remote Fine-Tuning of LLM over the Air Notably, we also study the performance differences when using MLP and U-Net as backbones of DDIM

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:16:18.996618Z

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.

Observation 1b97583e-cf19-48b0-8ad8-964a5736c983 · outbound

This paper cites (10), regulates the trade-off between task accuracy and communication cost.

AirLLM: Diffusion Policy-based Adaptive LoRA for Remote Fine-Tuning of LLM over the Air (10), regulates the trade-off between task accuracy and communication cost

Reference 12

Resolution: malformed identifier; raw_fallback, observed 2026-08-06T17:16:18.772232Z

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.

Observation 5f97ed12-5e3d-48c0-8f9c-9ef466dedd22 · outbound

This paper cites GPT-4 Technical Report.

AirLLM: Diffusion Policy-based Adaptive LoRA for Remote Fine-Tuning of LLM over the Air GPT-4 Technical Report

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T17:16:06.543831Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bf2daecf-fb74-463e-9a66-c2474bb853d6 · outbound

This paper cites The proposed RL agent observes both data and channel state information [15] and dynamically adjusts rank budgets to balance model accuracy and transmission cost.

AirLLM: Diffusion Policy-based Adaptive LoRA for Remote Fine-Tuning of LLM over the Air The proposed RL agent observes both data and channel state information [15] and dynamically adjusts rank budgets to balance model accuracy and transmission cost

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:16:20.385922Z

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.

Observation 756d4776-3a9d-4b19-9597-c62f4b6acba0 · outbound

This paper cites DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model.

AirLLM: Diffusion Policy-based Adaptive LoRA for Remote Fine-Tuning of LLM over the Air DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T17:16:06.604190Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5115d334-46ec-433a-b08c-00ee9b438b70 · outbound

This paper cites Denoising diffusion probabilistic models,.

AirLLM: Diffusion Policy-based Adaptive LoRA for Remote Fine-Tuning of LLM over the Air Denoising diffusion probabilistic models,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:16:17.003281Z

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.

Observation d44c2ab6-0775-4026-9ef3-b0341c28f436 · outbound

This paper cites LoRA: Low-Rank adaptation of large language models,.

AirLLM: Diffusion Policy-based Adaptive LoRA for Remote Fine-Tuning of LLM over the Air LoRA: Low-Rank adaptation of large language models,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:16:18.632874Z

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.

Observation 812ba323-4c15-4e71-b54b-fe153ddfe691 · outbound

This paper cites AdaLoRA: Adaptive budget allocation for parameter-efficient fine-tuning,.

AirLLM: Diffusion Policy-based Adaptive LoRA for Remote Fine-Tuning of LLM over the Air AdaLoRA: Adaptive budget allocation for parameter-efficient fine-tuning,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:16:18.472683Z

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.

Observation 45c34858-2595-4fee-b2b1-97fedd5d4cff · outbound

This paper cites Adaptation in cloud resource configuration: a survey,.

AirLLM: Diffusion Policy-based Adaptive LoRA for Remote Fine-Tuning of LLM over the Air Adaptation in cloud resource configuration: a survey,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:16:18.230174Z

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.

Observation 988082b8-e4d1-4f83-9583-5fc31ceffbc3 · outbound

This paper cites Curriculum learning for natural language understanding,.

AirLLM: Diffusion Policy-based Adaptive LoRA for Remote Fine-Tuning of LLM over the Air Curriculum learning for natural language understanding,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:16:18.079384Z

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.

Observation 4bae311e-14a4-4428-b5f7-fb2e4a09194e · outbound

This paper cites Deep compression: Compressing deep neural networks with pruning, trained quantization and huffman coding,.

AirLLM: Diffusion Policy-based Adaptive LoRA for Remote Fine-Tuning of LLM over the Air Deep compression: Compressing deep neural networks with pruning, trained quantization and huffman coding,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:16:17.950661Z

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.

Observation f8cec137-091a-484b-88af-5efc87064aa7 · outbound

This paper cites Goldsmith, Wireless Communications.

AirLLM: Diffusion Policy-based Adaptive LoRA for Remote Fine-Tuning of LLM over the Air Goldsmith, Wireless Communications

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T17:16:09.930257Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d07ec172-5ece-4d79-b681-c57003b491e4 · outbound

This paper cites Channel characteristics and transmission performance for various channel configurations at 60 GHz,.

AirLLM: Diffusion Policy-based Adaptive LoRA for Remote Fine-Tuning of LLM over the Air Channel characteristics and transmission performance for various channel configurations at 60 GHz,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:16:17.646840Z

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.

Observation 1d03d688-1c3b-4003-b514-26b98560fe44 · outbound

This paper cites Feed-forward neural networks,.

AirLLM: Diffusion Policy-based Adaptive LoRA for Remote Fine-Tuning of LLM over the Air Feed-forward neural networks,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:16:17.548503Z

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.

Observation 33e0c77e-7ed9-4fed-bf64-70c49b6bc909 · outbound

This paper cites Real-time millimeter-wave MIMO channel sounder for dynamic directional me- asurements,.

AirLLM: Diffusion Policy-based Adaptive LoRA for Remote Fine-Tuning of LLM over the Air Real-time millimeter-wave MIMO channel sounder for dynamic directional me- asurements,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:16:17.420834Z

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.

Observation 7ebe62f1-dec9-4804-94b2-b4bed1cea88b · outbound

This paper cites Szepesvári, Algorithms for reinforcement learning.

AirLLM: Diffusion Policy-based Adaptive LoRA for Remote Fine-Tuning of LLM over the Air Szepesvári, Algorithms for reinforcement learning

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:16:17.298157Z

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.

Observation 2c5189a4-0fad-483e-a77f-9de340706dd8 · outbound

This paper cites Adaptive Sampling and Joint Semantic-Channel Coding under Dynamic Channel Environment.

AirLLM: Diffusion Policy-based Adaptive LoRA for Remote Fine-Tuning of LLM over the Air Adaptive Sampling and Joint Semantic-Channel Coding under Dynamic Channel Environment

Reference 28

Resolution: verified exact; local_arxiv, observed 2026-08-06T17:16:12.646887Z

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.

Observation b0511c08-ab02-41f3-b0a0-c8ce97422596 · outbound

This paper cites Diffusion policy policy optimization,.

AirLLM: Diffusion Policy-based Adaptive LoRA for Remote Fine-Tuning of LLM over the Air Diffusion policy policy optimization,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:16:17.162924Z

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.

Observation 8db297d4-7712-4450-b424-0526df3f426f · outbound

This paper cites Deep reinforcement learning that matters,.

AirLLM: Diffusion Policy-based Adaptive LoRA for Remote Fine-Tuning of LLM over the Air Deep reinforcement learning that matters,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:16:15.172844Z

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.

Observation 5b892ed9-8e3b-487b-a8fb-39d221d836fd · outbound

This paper cites Denoising diffusion implicit models,.

AirLLM: Diffusion Policy-based Adaptive LoRA for Remote Fine-Tuning of LLM over the Air Denoising diffusion implicit models,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:16:16.799510Z

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.

Observation 9b6dfb2d-78a4-40b5-999c-a710d56136af · outbound

This paper cites Proximal Policy Optimization Algorithms.

AirLLM: Diffusion Policy-based Adaptive LoRA for Remote Fine-Tuning of LLM over the Air Proximal Policy Optimization Algorithms

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-06T17:16:09.543790Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 455931c1-97c7-462b-8c98-7a44ce5ac518 · outbound

This paper cites PEFT-U: Parameter-Efficient Fine-Tuning for User Personalization.

AirLLM: Diffusion Policy-based Adaptive LoRA for Remote Fine-Tuning of LLM over the Air PEFT-U: Parameter-Efficient Fine-Tuning for User Personalization

Reference 33

Resolution: verified exact; local_arxiv, observed 2026-08-06T17:16:12.303724Z

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.

Observation cac3dffa-dbef-407d-90d2-56a66587c51f · outbound

This paper cites Wireless com- munication is modeled as an AWGN channel with 100 MHz bandwidth, 1s latency, and SNR levels ranging from −5 dB to 15 dB.

AirLLM: Diffusion Policy-based Adaptive LoRA for Remote Fine-Tuning of LLM over the Air Wireless com- munication is modeled as an AWGN channel with 100 MHz bandwidth, 1s latency, and SNR levels ranging from −5 dB to 15 dB

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:16:19.161570Z

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.

Observation dc4a2601-b025-4c0c-8fab-60af61479fd4 · outbound

This paper cites Intelligent cloud-edge collaborations assisted energy-efficient power control in heterogeneous networks,.

AirLLM: Diffusion Policy-based Adaptive LoRA for Remote Fine-Tuning of LLM over the Air Intelligent cloud-edge collaborations assisted energy-efficient power control in heterogeneous networks,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:16:16.593111Z

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.

Observation 94596ae4-6cc8-4fc1-a059-3ac850f250a4 · outbound

This paper cites an unresolved cited work.

AirLLM: Diffusion Policy-based Adaptive LoRA for Remote Fine-Tuning of LLM over the Air Unresolved cited work

Reference 36

Resolution: unresolved; raw_fallback, observed 2026-08-06T17:16:16.329506Z

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.

Observation 10787aca-0c7b-401a-b9d0-e4191886da4b · outbound

This paper cites dLoRA: Dyna- mically orchestrating requests and adapters for LoRA/LLM serving,.

AirLLM: Diffusion Policy-based Adaptive LoRA for Remote Fine-Tuning of LLM over the Air dLoRA: Dyna- mically orchestrating requests and adapters for LoRA/LLM serving,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:16:16.087853Z

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.

Observation c64a9223-ab61-4981-9150-229e750358a4 · outbound

This paper cites an unresolved cited work.

AirLLM: Diffusion Policy-based Adaptive LoRA for Remote Fine-Tuning of LLM over the Air Unresolved cited work

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-06T17:16:10.200000Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0ccef382-454c-4f9d-9482-dc4af97353ec · outbound

This paper cites Reinforcement learning from suboptimal demonstrations based on reward relabeling,.

AirLLM: Diffusion Policy-based Adaptive LoRA for Remote Fine-Tuning of LLM over the Air Reinforcement learning from suboptimal demonstrations based on reward relabeling,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:16:15.866094Z

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.

Observation c86283eb-7464-4c69-ab51-dd5217710f17 · outbound

This paper cites Learning continuous control policies by stochastic value gradients,.

AirLLM: Diffusion Policy-based Adaptive LoRA for Remote Fine-Tuning of LLM over the Air Learning continuous control policies by stochastic value gradients,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:16:15.646303Z

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.

Observation 1ca753ec-6d42-48a9-8ef9-038f05930d14 · outbound

This paper cites Latent space po- licies for hierarchical reinforcement learning,.

AirLLM: Diffusion Policy-based Adaptive LoRA for Remote Fine-Tuning of LLM over the Air Latent space po- licies for hierarchical reinforcement learning,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:16:15.432404Z

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.

Observation 3e0d9a1c-28b7-4a38-adb4-774c6d4808c0 · outbound

This paper cites Off-Policy Reinforcement Learning with High Dimensional Reward.

AirLLM: Diffusion Policy-based Adaptive LoRA for Remote Fine-Tuning of LLM over the Air Off-Policy Reinforcement Learning with High Dimensional Reward

Reference 42

Resolution: verified exact; local_arxiv, observed 2026-08-06T17:16:11.948001Z

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.

Observation 2914d65a-e0e0-4655-9fdc-b4bd69cc4b73 · outbound

This paper cites What matters in on-policy reinforcement learning? A large-scale empirical study,.

AirLLM: Diffusion Policy-based Adaptive LoRA for Remote Fine-Tuning of LLM over the Air What matters in on-policy reinforcement learning? A large-scale empirical study,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:16:14.972253Z

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.

Observation 27c5d98d-65a6-4b24-aca4-45192b67d154 · outbound

This paper cites High- resolution image synthesis with latent diffusion models,.

AirLLM: Diffusion Policy-based Adaptive LoRA for Remote Fine-Tuning of LLM over the Air High- resolution image synthesis with latent diffusion models,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:16:14.761134Z

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.

Observation 71a66d57-9358-4c95-813a-9f265633c0d7 · outbound

This paper cites Classifier-free diffusion guidance,.

AirLLM: Diffusion Policy-based Adaptive LoRA for Remote Fine-Tuning of LLM over the Air Classifier-free diffusion guidance,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:16:14.449413Z

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.

Observation 2fb2957b-f692-4132-b56e-1782b080610d · outbound

This paper cites Recursive deep models for semantic compositionality over a sentiment treebank,.

AirLLM: Diffusion Policy-based Adaptive LoRA for Remote Fine-Tuning of LLM over the Air Recursive deep models for semantic compositionality over a sentiment treebank,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:16:14.035490Z

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.

Observation 998a083a-8dee-46ed-a3f3-14a027a86ee1 · outbound

This paper cites OPT: Open Pre-trained Transformer Language Models.

AirLLM: Diffusion Policy-based Adaptive LoRA for Remote Fine-Tuning of LLM over the Air OPT: Open Pre-trained Transformer Language Models

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-06T17:16:11.157376Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1be01dae-5efd-492f-ac21-e1eff49a3a3f · outbound

This paper cites Early stopping and non- parametric regression: an optimal data-dependent stopping rule,.

AirLLM: Diffusion Policy-based Adaptive LoRA for Remote Fine-Tuning of LLM over the Air Early stopping and non- parametric regression: an optimal data-dependent stopping rule,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:16:13.628848Z

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.

Observation b5087b2f-74c8-4a58-ad29-2bc3295a8db9 · outbound

This paper cites Diffusion Policy: Visuomotor policy learning via action diffusion,.

AirLLM: Diffusion Policy-based Adaptive LoRA for Remote Fine-Tuning of LLM over the Air Diffusion Policy: Visuomotor policy learning via action diffusion,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:16:13.363035Z

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.

Observation efb4853b-22a2-4ec8-ac89-b5977e8fb840 · outbound

This paper cites Wider and Deeper LLM Networks are Fairer LLM Evaluators.

AirLLM: Diffusion Policy-based Adaptive LoRA for Remote Fine-Tuning of LLM over the Air Wider and Deeper LLM Networks are Fairer LLM Evaluators

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-06T17:16:11.555301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f20496eb-8f9a-4e70-a5ec-00d8f7c75af4 · outbound

This paper cites A Survey of Large Language Models.

AirLLM: Diffusion Policy-based Adaptive LoRA for Remote Fine-Tuning of LLM over the Air A Survey of Large Language Models

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-06T17:16:06.768756Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation c39a2e92-f70d-4cf4-aefe-52c7ac3f7dc2 · inbound