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Paper Citation Record · LEDGER

KerZOO: Kernel Function Informed Zeroth-Order Optimization for Accurate and Accelerated LLM Fine-Tuning

As of 20 August 2026, this Paper Citation Record lists 62 of 62 outbound references and 2 inbound Pith citation observations for arXiv:2505.18886.

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

pith.paper-citation-record.v1
2505.18886 v1

Coverage vector

measured 62 of 62 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:29:36.336552Z

measured 64 of 64 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-18T10:44:53.516653Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T10:46:17.092458Z

Reference resolution

62 of 62 outbound references displayed

  • verified exact1
  • verified fuzzy31
  • unresolved29
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 62238459-5345-4f27-9f62-c8a9180cfe11 · outbound

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

KerZOO: Kernel Function Informed Zeroth-Order Optimization for Accurate and Accelerated LLM Fine-Tuning LoRA: Low-Rank Adaptation of Large Language Models

Reference 1

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:29:31.281274Z digest=sha256:82b1ae9385b5de5a520b92664ac5e2302f81d994a190229eb2a6f0ce144c45c2

Observation 7de2e8f9-4878-4b21-b5e4-70ecdbe65910 · outbound

This paper cites Qlora: Efficient finetuning of quantized llms.

KerZOO: Kernel Function Informed Zeroth-Order Optimization for Accurate and Accelerated LLM Fine-Tuning Qlora: Efficient finetuning of quantized llms

Reference 2

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source=pdf_text observed=2026-08-07T14:29:31.370655Z digest=sha256:818691be126ff8e655337d1d389ac9237686cd2f215cacc85abb7f2476a530c9

Observation 341128cc-cf2e-4002-9161-c823c59f603f · outbound

This paper cites Efficient on-chip learning for optical neural networks through power-aware sparse zeroth-order optimization.

KerZOO: Kernel Function Informed Zeroth-Order Optimization for Accurate and Accelerated LLM Fine-Tuning Efficient on-chip learning for optical neural networks through power-aware sparse zeroth-order optimization

Reference 3

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 5b40e094-3d15-4e3c-ab3a-3931d9a74d96 · outbound

This paper cites Harmony in divergence: Towards fast, accurate, and memory-efficient zeroth-order llm fine-tuning.

KerZOO: Kernel Function Informed Zeroth-Order Optimization for Accurate and Accelerated LLM Fine-Tuning Harmony in divergence: Towards fast, accurate, and memory-efficient zeroth-order llm fine-tuning

Reference 4

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source=pdf_text observed=2026-08-07T14:29:31.672206Z digest=sha256:e8d1665e55d34beb74e361f6f82ebfb0976a29bcaeca5074de5602ad03c31e0c

Observation 00103b87-6418-4d0d-8473-4f11ff9abc5c · outbound

This paper cites Second-Order Fine-Tuning without Pain for LLMs:A Hessian Informed Zeroth-Order Optimizer.

KerZOO: Kernel Function Informed Zeroth-Order Optimization for Accurate and Accelerated LLM Fine-Tuning Second-Order Fine-Tuning without Pain for LLMs:A Hessian Informed Zeroth-Order Optimizer

Reference 5

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Observation 78cc2dd4-92c7-44f4-b3df-0186dc0243c8 · outbound

This paper cites Lora: Low-rank adaptation of large language models.

KerZOO: Kernel Function Informed Zeroth-Order Optimization for Accurate and Accelerated LLM Fine-Tuning Lora: Low-rank adaptation of large language models

Reference 6

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Observation bb9c77e7-6e40-42ff-8665-1b91e373e316 · outbound

This paper cites Prefix-Tuning: Optimizing Continuous Prompts for Generation.

KerZOO: Kernel Function Informed Zeroth-Order Optimization for Accurate and Accelerated LLM Fine-Tuning Prefix-Tuning: Optimizing Continuous Prompts for Generation

Reference 7

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source=pdf_text observed=2026-08-07T14:29:32.198527Z digest=sha256:ebdead2625ef91cde520fb3b62950760d18db21eedd7fbf3fa8c2b5f4089f659

Observation 6003f725-19f4-4731-898a-0203cccb1d38 · outbound

This paper cites GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection.

KerZOO: Kernel Function Informed Zeroth-Order Optimization for Accurate and Accelerated LLM Fine-Tuning GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection

Reference 8

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Observation ec6139de-d2af-4167-9177-113c70efae26 · outbound

This paper cites Decoupled Weight Decay Regularization.

KerZOO: Kernel Function Informed Zeroth-Order Optimization for Accurate and Accelerated LLM Fine-Tuning Decoupled Weight Decay Regularization

Reference 9

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source=pdf_text observed=2026-08-07T14:29:32.444959Z digest=sha256:75588294232da618e800e504cef1d960cf7dc899fea050219449c344a56c2285

Observation d3e9e435-540f-4e75-8403-988b8f79f5a6 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

KerZOO: Kernel Function Informed Zeroth-Order Optimization for Accurate and Accelerated LLM Fine-Tuning Adam: A Method for Stochastic Optimization

Reference 10

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Observation 8f2f0dcd-8724-4609-b3ae-dbe7af840809 · outbound

This paper cites Revisiting Zeroth-Order Optimization for Memory-Efficient LLM Fine-Tuning: A Benchmark.

KerZOO: Kernel Function Informed Zeroth-Order Optimization for Accurate and Accelerated LLM Fine-Tuning Revisiting Zeroth-Order Optimization for Memory-Efficient LLM Fine-Tuning: A Benchmark

Reference 11

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Observation 5c3443f5-1540-489c-a8f0-dae9f57c94c7 · outbound

This paper cites Fine-tuning language models with just forward passes.

KerZOO: Kernel Function Informed Zeroth-Order Optimization for Accurate and Accelerated LLM Fine-Tuning Fine-tuning language models with just forward passes

Reference 12

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Observation 1d7f2b62-16a5-484c-a4cc-38f3128db203 · outbound

This paper cites Eigenvalues of the Hessian in Deep Learning: Singularity and Beyond.

KerZOO: Kernel Function Informed Zeroth-Order Optimization for Accurate and Accelerated LLM Fine-Tuning Eigenvalues of the Hessian in Deep Learning: Singularity and Beyond

Reference 13

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Unavailable: canonical work link unavailable.

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Observation d9819710-7811-42de-8d85-c971e73edc2a · outbound

This paper cites An investigation into neural net opti- mization via hessian eigenvalue density.

KerZOO: Kernel Function Informed Zeroth-Order Optimization for Accurate and Accelerated LLM Fine-Tuning An investigation into neural net opti- mization via hessian eigenvalue density

Reference 14

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T14:29:33.000481Z digest=sha256:c75e916b3f4f8de43596ef022236d81cfe281e8dc8456a6e200ac4ac6d5dc73f

Observation 3a26ec62-1890-409a-912f-66a9fccd2ec1 · outbound

This paper cites Why are adaptive methods good for attention models? Advances in Neural Information Processing Systems, 33:15383–15393, 2020.

KerZOO: Kernel Function Informed Zeroth-Order Optimization for Accurate and Accelerated LLM Fine-Tuning Why are adaptive methods good for attention models? Advances in Neural Information Processing Systems, 33:15383–15393, 2020

Reference 15

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation d585946b-e6b2-4c43-862d-de280c8bab51 · outbound

This paper cites Variance-reduced Zeroth-Order Methods for Fine-Tuning Language Models.

KerZOO: Kernel Function Informed Zeroth-Order Optimization for Accurate and Accelerated LLM Fine-Tuning Variance-reduced Zeroth-Order Methods for Fine-Tuning Language Models

Reference 16

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Observation 7b756c41-0784-4937-b17f-6913168d9b56 · outbound

This paper cites overparametrization.

KerZOO: Kernel Function Informed Zeroth-Order Optimization for Accurate and Accelerated LLM Fine-Tuning overparametrization

Reference 17

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verified fuzzy
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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation b0e61de6-4c98-4f34-b250-0a590849f6a3 · outbound

This paper cites Gradient-free optimization of highly smooth functions: improved analysis and a new algorithm.

KerZOO: Kernel Function Informed Zeroth-Order Optimization for Accurate and Accelerated LLM Fine-Tuning Gradient-free optimization of highly smooth functions: improved analysis and a new algorithm

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T14:29:33.267817Z digest=sha256:f63fe0543f90162dc979d29d6e93248002fa40664e10165b6e1f5c5a3f90ff44

Observation 6ba7e062-9d8e-402a-9514-cfa1068d5b86 · outbound

This paper cites Accelerated zero-order SGD under high-order smoothness and overparameterized regime.

KerZOO: Kernel Function Informed Zeroth-Order Optimization for Accurate and Accelerated LLM Fine-Tuning Accelerated zero-order SGD under high-order smoothness and overparameterized regime

Reference 19

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Observation 2a3e88d8-2cf6-4af8-b0cd-3b0afe614e46 · outbound

This paper cites Highly-smooth zero-th order online optimization.

KerZOO: Kernel Function Informed Zeroth-Order Optimization for Accurate and Accelerated LLM Fine-Tuning Highly-smooth zero-th order online optimization

Reference 20

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Observation 688deb44-492c-4e49-a1f8-936e5756b554 · outbound

This paper cites Towards understanding convergence and generalization of adamw.

KerZOO: Kernel Function Informed Zeroth-Order Optimization for Accurate and Accelerated LLM Fine-Tuning Towards understanding convergence and generalization of adamw

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T14:29:33.493000Z digest=sha256:9fa8cfeb085d53b30026d1634f7a82a2e443ac5640eeb000ec8fffb49d51a9ae

Observation c5030aed-9f62-4ea9-a675-ca86d9e44beb · outbound

This paper cites Stochastic first-and zeroth-order methods for nonconvex stochastic programming.

KerZOO: Kernel Function Informed Zeroth-Order Optimization for Accurate and Accelerated LLM Fine-Tuning Stochastic first-and zeroth-order methods for nonconvex stochastic programming

Reference 22

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation d7b8b05f-21a5-4d2f-af0b-211e0fc30719 · outbound

This paper cites Random gradient-free minimization of convex functions.

KerZOO: Kernel Function Informed Zeroth-Order Optimization for Accurate and Accelerated LLM Fine-Tuning Random gradient-free minimization of convex functions

Reference 23

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Observation a46eac0f-4f38-4d60-b895-2d4a8213ea46 · outbound

This paper cites Optimal order of accuracy of search algorithms in stochastic optimization.

KerZOO: Kernel Function Informed Zeroth-Order Optimization for Accurate and Accelerated LLM Fine-Tuning Optimal order of accuracy of search algorithms in stochastic optimization

Reference 24

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T14:29:33.803304Z digest=sha256:3b020a9678287af1b317bd6d30851fc6aa526cf423ae1cb33327aa4f1292817a

Observation ae444232-19e3-4576-a67a-fd9cc38b8546 · outbound

This paper cites RoBERTa: A Robustly Optimized BERT Pretraining Approach.

KerZOO: Kernel Function Informed Zeroth-Order Optimization for Accurate and Accelerated LLM Fine-Tuning RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 25

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Observation 1a3ed4af-6f47-4c0a-a64f-0d3f1272004f · outbound

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

KerZOO: Kernel Function Informed Zeroth-Order Optimization for Accurate and Accelerated LLM Fine-Tuning OPT: Open Pre-trained Transformer Language Models

Reference 26

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Observation 3b20b5a5-4a7b-461c-9e7c-bc4a0ef95c9c · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

KerZOO: Kernel Function Informed Zeroth-Order Optimization for Accurate and Accelerated LLM Fine-Tuning LLaMA: Open and Efficient Foundation Language Models

Reference 27

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Observation c61dea66-f8f7-41b9-9c3a-0eaad8b91ca0 · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

KerZOO: Kernel Function Informed Zeroth-Order Optimization for Accurate and Accelerated LLM Fine-Tuning BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 28

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Observation d145fa0e-eeb9-4480-97d3-02dc4e8018dd · outbound

This paper cites Visualgpt: Data-efficient adaptation of pretrained language models for image captioning.

KerZOO: Kernel Function Informed Zeroth-Order Optimization for Accurate and Accelerated LLM Fine-Tuning Visualgpt: Data-efficient adaptation of pretrained language models for image captioning

Reference 29

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation c352159d-e462-4069-b5ee-91842ca2aaa5 · outbound

This paper cites Learning transferable visual models from natural language supervision.

KerZOO: Kernel Function Informed Zeroth-Order Optimization for Accurate and Accelerated LLM Fine-Tuning Learning transferable visual models from natural language supervision

Reference 30

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Observation fd3fc0c2-5372-4413-956b-672a7f3c0d17 · outbound

This paper cites Revisiting weakly supervised pre-training of visual perception models.

KerZOO: Kernel Function Informed Zeroth-Order Optimization for Accurate and Accelerated LLM Fine-Tuning Revisiting weakly supervised pre-training of visual perception models

Reference 31

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verified fuzzy
raw_fallback, observed 2026-08-07T14:29:41.797660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation be40649e-6f49-4caa-bb29-f3a9ecb3ee55 · outbound

This paper cites Dora: Weight-decomposed low-rank adaptation.

KerZOO: Kernel Function Informed Zeroth-Order Optimization for Accurate and Accelerated LLM Fine-Tuning Dora: Weight-decomposed low-rank adaptation

Reference 32

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verified fuzzy
raw_fallback, observed 2026-08-07T14:29:41.638836Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T14:29:34.337492Z digest=sha256:98db11b27ba781beb1629be393a6c5b9a3bf9dec37ff25c21df2f3850db3aa5e

Observation 2ed50184-a9dc-49b5-adc9-fa38a8847294 · outbound

This paper cites Smoothquant: Accurate and efficient post-training quantization for large language models.

KerZOO: Kernel Function Informed Zeroth-Order Optimization for Accurate and Accelerated LLM Fine-Tuning Smoothquant: Accurate and efficient post-training quantization for large language models

Reference 33

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source=pdf_text observed=2026-08-07T14:29:34.416796Z digest=sha256:85e6844a1636cf91f64748c08c40b1542832ac3ddd222478831ad7e6631b26f3

Observation b7a28310-e77c-47cf-a0e2-19d3232e669b · outbound

This paper cites Outlier Suppression+: Accurate quantization of large language models by equivalent and optimal shifting and scaling.

KerZOO: Kernel Function Informed Zeroth-Order Optimization for Accurate and Accelerated LLM Fine-Tuning Outlier Suppression+: Accurate quantization of large language models by equivalent and optimal shifting and scaling

Reference 34

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no resolver link, observed 2026-08-07T14:29:34.477636Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:29:34.477636Z digest=sha256:a800e47fc048cb9cfc54a2efd15d0e38ac056c0225118f7cc392a76bbc8593f0

Observation d07aa68b-d26a-430d-91c1-0b02830b038c · outbound

This paper cites Zoo: Zeroth order optimization based black-box attacks to deep neural networks without training substitute models.

KerZOO: Kernel Function Informed Zeroth-Order Optimization for Accurate and Accelerated LLM Fine-Tuning Zoo: Zeroth order optimization based black-box attacks to deep neural networks without training substitute models

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-07T14:29:34.559992Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:29:34.559992Z digest=sha256:70dc2c7143e3322a0fd4073ee46c69e68e3d51882dfa82bee6a896d5a3bf32a3

Observation 277b417f-fd27-4220-afcb-53905e927a3c · outbound

This paper cites Hessian-Aware Zeroth-Order Optimization for Black-Box Adversarial Attack.

KerZOO: Kernel Function Informed Zeroth-Order Optimization for Accurate and Accelerated LLM Fine-Tuning Hessian-Aware Zeroth-Order Optimization for Black-Box Adversarial Attack

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-07T14:29:34.630940Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:29:34.630940Z digest=sha256:99955e4de7021c758d9c30197de761fa360d096b8966a5f24f44bc3d7faed3d8

Observation be4e3658-9ebd-41a2-bbfa-e4dab2be3bde · outbound

This paper cites Certified Zeroth-order Black-Box Defense with Robust UNet Denoiser.

KerZOO: Kernel Function Informed Zeroth-Order Optimization for Accurate and Accelerated LLM Fine-Tuning Certified Zeroth-order Black-Box Defense with Robust UNet Denoiser

Reference 37

Resolution
verified exact
local_arxiv, observed 2026-08-07T14:29:36.570271Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T14:29:34.715363Z digest=sha256:17c97fafa8246bcf3dc430f8ed0a625c30dcfb79a982b5fe4f138cf3a52a8391

Observation 8c0fe944-2af5-434c-858a-b24577297bc0 · outbound

This paper cites DeepZero: Scaling up Zeroth-Order Optimization for Deep Model Training.

KerZOO: Kernel Function Informed Zeroth-Order Optimization for Accurate and Accelerated LLM Fine-Tuning DeepZero: Scaling up Zeroth-Order Optimization for Deep Model Training

Reference 38

Resolution
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no resolver link, observed 2026-08-07T14:29:34.779580Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:29:34.779580Z digest=sha256:67ad45307cc883361bbe8e873f6c4e5b857d3f67df574b548c393b91f28f3227

Observation 981f227e-e9f2-48e5-9083-89feda69999c · outbound

This paper cites Sparse mezo: Less parameters for better performance in zeroth-order llm fine-tuning.

KerZOO: Kernel Function Informed Zeroth-Order Optimization for Accurate and Accelerated LLM Fine-Tuning Sparse mezo: Less parameters for better performance in zeroth-order llm fine-tuning

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-07T14:29:34.858568Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:29:34.858568Z digest=sha256:90ce36f3b71834973b7ef34995b8764029d91d7775720da5ce3fea97e7d77fcf

Observation 473dd0c0-fd9a-4314-ae9a-e2845f11427e · outbound

This paper cites Private Fine-tuning of Large Language Models with Zeroth-order Optimization.

KerZOO: Kernel Function Informed Zeroth-Order Optimization for Accurate and Accelerated LLM Fine-Tuning Private Fine-tuning of Large Language Models with Zeroth-order Optimization

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-07T14:29:34.892671Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:29:34.892671Z digest=sha256:fb1ddabff2a4e4e0218c4228bf4f428d291f363a049122e682c99f8b8482db12

Observation 2e3612c4-bef6-4b57-a69b-7d8c6662bece · outbound

This paper cites Zeroth- order stochastic variance reduction for nonconvex optimization.Advances in Neural Information Processing Systems, 31, 2018.

KerZOO: Kernel Function Informed Zeroth-Order Optimization for Accurate and Accelerated LLM Fine-Tuning Zeroth- order stochastic variance reduction for nonconvex optimization.Advances in Neural Information Processing Systems, 31, 2018

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:29:41.467030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T14:29:34.935356Z digest=sha256:1944b164bd4e41ac7caa31807940d79ae4f7d45810264a0eccb6edd956833de9

Observation 1a9ff050-32dd-4a01-b59f-ac47c9546db1 · outbound

This paper cites Accelerating stochastic gradient descent using predictive variance reduction.

KerZOO: Kernel Function Informed Zeroth-Order Optimization for Accurate and Accelerated LLM Fine-Tuning Accelerating stochastic gradient descent using predictive variance reduction

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-07T14:29:34.984169Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:29:34.984169Z digest=sha256:432556ba6e89bbcda176475adee06099b064c821674d5ceade6f422746d1f931

Observation bb0a9e94-5bfd-43d9-b9d3-f8064c4ffaf1 · outbound

This paper cites Zeroth-order optimization with trajectory-informed derivative estimation.

KerZOO: Kernel Function Informed Zeroth-Order Optimization for Accurate and Accelerated LLM Fine-Tuning Zeroth-order optimization with trajectory-informed derivative estimation

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:29:41.306417Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T14:29:35.049055Z digest=sha256:86f7bafd2b4a79ac67654e06ec32ef2e784b13cc32055a8e758a150c503f790a

Observation 14af5e47-233e-4b61-99ee-ab34dffa6991 · outbound

This paper cites Pretrained optimization model for zero-shot black box optimization.

KerZOO: Kernel Function Informed Zeroth-Order Optimization for Accurate and Accelerated LLM Fine-Tuning Pretrained optimization model for zero-shot black box optimization

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:29:41.091133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T14:29:35.147446Z digest=sha256:c3855a06298292948f35fbece8af5c855e38967ee7c63061bc248255963c59cb

Observation 1ec9d9d7-5dc8-4fe2-ba0a-4c51536b2d88 · outbound

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

KerZOO: Kernel Function Informed Zeroth-Order Optimization for Accurate and Accelerated LLM Fine-Tuning Recursive deep models for semantic compositionality over a sentiment treebank

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:29:40.908161Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T14:29:35.269701Z digest=sha256:d1c9e385e345c3f0b0970a9292bddb426650d0606a5444703ddd934630a16707

Observation 76deab84-135d-4230-ae2c-854574ff449a · outbound

This paper cites A large annotated corpus for learning natural language inference.

KerZOO: Kernel Function Informed Zeroth-Order Optimization for Accurate and Accelerated LLM Fine-Tuning A large annotated corpus for learning natural language inference

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:29:40.631529Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T14:29:35.342155Z digest=sha256:9622a6190bcfca9a65550b58aa7a62740ffff524ad5f7874236d6edb4da5f233

Observation 1e4ab58c-34d2-4dc7-8686-d7c7c52dbb37 · outbound

This paper cites Building a question answering test collection.

KerZOO: Kernel Function Informed Zeroth-Order Optimization for Accurate and Accelerated LLM Fine-Tuning Building a question answering test collection

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:29:40.312736Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T14:29:35.452227Z digest=sha256:72cd575430234063678e792b8faf8467711bf3973f702efe796ad33a13eb2990

Observation 1495bbaa-dbef-4c3f-9c66-41ffe9ca8f9e · outbound

This paper cites Improving retrieval-based sentence generation with context-aware answer selection.

KerZOO: Kernel Function Informed Zeroth-Order Optimization for Accurate and Accelerated LLM Fine-Tuning Improving retrieval-based sentence generation with context-aware answer selection

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:29:39.982024Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T14:29:35.515971Z digest=sha256:691c69caf024c60a6cc5fc2879f05c8495eb9a14ff5c7dccd7704cdacdd60278

Observation 0b92f000-e1fd-4160-92fb-d4006ae808e2 · outbound

This paper cites The pascal recognising textual entailment challenge.

KerZOO: Kernel Function Informed Zeroth-Order Optimization for Accurate and Accelerated LLM Fine-Tuning The pascal recognising textual entailment challenge

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:29:39.691614Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T14:29:35.561458Z digest=sha256:44f8c7e7eec9569296b119e93073d05e30ca50bd162b7146c57494228ab81133

Observation db8a7081-3f4f-4fb7-b388-2ab0e85b55ca · outbound

This paper cites The second pascal recognising textual entailment challenge.

KerZOO: Kernel Function Informed Zeroth-Order Optimization for Accurate and Accelerated LLM Fine-Tuning The second pascal recognising textual entailment challenge

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:29:39.488526Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T14:29:35.603480Z digest=sha256:3a3d591c09da401305d56f120f0072706de917ba734ccb81b95dce8a70c7453e

Observation e7d824c0-45e9-414b-b7a0-1eaa18f9cb98 · outbound

This paper cites The fifth pascal recognizing textual entailment challenge.

KerZOO: Kernel Function Informed Zeroth-Order Optimization for Accurate and Accelerated LLM Fine-Tuning The fifth pascal recognizing textual entailment challenge

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:29:39.274701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T14:29:35.699622Z digest=sha256:b93fd9a2ece9596c2212c36f5b160aed6644f8be45be54a22f8ed172fe3dd376

Observation d620a32c-ff80-429d-b64b-16a5de1d2f8e · outbound

This paper cites The third pascal recogniz- ing textual entailment challenge.

KerZOO: Kernel Function Informed Zeroth-Order Optimization for Accurate and Accelerated LLM Fine-Tuning The third pascal recogniz- ing textual entailment challenge

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:29:39.051076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T14:29:35.764825Z digest=sha256:687d778eef9ac285f2ef71a5488f73f7108d6bfdf291ef329d86277763370938

Observation 7eed6190-c94f-46b4-9d39-db3b110ec651 · outbound

This paper cites SuperGLUE: A Stickier Benchmark for General-Purpose Language Understanding Systems.

KerZOO: Kernel Function Informed Zeroth-Order Optimization for Accurate and Accelerated LLM Fine-Tuning SuperGLUE: A Stickier Benchmark for General-Purpose Language Understanding Systems

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-07T14:29:35.818734Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:29:35.818734Z digest=sha256:4ebb2f2975024f5bcfec6b46151c58727690480256c7bd5fe3de0b490ed2e51a

Observation cbc0dcb0-eae3-4c6c-a1ab-12f1ec760159 · outbound

This paper cites The shared task on implicit and explicit hate speech detection.

KerZOO: Kernel Function Informed Zeroth-Order Optimization for Accurate and Accelerated LLM Fine-Tuning The shared task on implicit and explicit hate speech detection

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:29:38.816910Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T14:29:35.906086Z digest=sha256:03d57173f1326a3ca96c0a54077480cf734bb554a96279bf68e233c147e6e4dd

Observation 712e37af-4a62-4aa6-919e-34ba408b92ec · outbound

This paper cites Boolq: Exploring the surprising difficulty of natural yes/no questions.

KerZOO: Kernel Function Informed Zeroth-Order Optimization for Accurate and Accelerated LLM Fine-Tuning Boolq: Exploring the surprising difficulty of natural yes/no questions

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:29:38.464849Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T14:29:35.946882Z digest=sha256:8d7b67ce07c5762e7ab6a346eb31142f8cf207b3ed0a9677e1e773eb3f10d34c

Observation 940d0a2d-8575-4938-8cfa-59e60dab455b · outbound

This paper cites Wic: The word-in-context dataset for evaluating context-sensitive meaning representations.

KerZOO: Kernel Function Informed Zeroth-Order Optimization for Accurate and Accelerated LLM Fine-Tuning Wic: The word-in-context dataset for evaluating context-sensitive meaning representations

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:29:38.159549Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T14:29:36.004862Z digest=sha256:3beef15924cadee4a8d9d0d44f972d3132fb0d39d7e48b1aa85a47209f2df404

Observation 19ea1605-e9a5-4dfb-a267-5fed1390ddb4 · outbound

This paper cites The winograd schema challenge.

KerZOO: Kernel Function Informed Zeroth-Order Optimization for Accurate and Accelerated LLM Fine-Tuning The winograd schema challenge

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:29:37.787919Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T14:29:36.052262Z digest=sha256:9b091808e5ccf6df9b9e9b26e01e34213fb39cc808831efb54945bf95698d8d0

Observation 2f263ffc-98e2-4ae5-a67b-21e49389298b · outbound

This paper cites Looking beyond the surface: A challenge set for reading comprehension over multiple sentences.

KerZOO: Kernel Function Informed Zeroth-Order Optimization for Accurate and Accelerated LLM Fine-Tuning Looking beyond the surface: A challenge set for reading comprehension over multiple sentences

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:29:37.516873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T14:29:36.108224Z digest=sha256:bc6b287bbfe9f64da9bb0219ba022c9e11224ad61aafc428c3a34a3ded48de0c

Observation 86c31b11-b54d-4736-9f67-0999299af5c2 · outbound

This paper cites Squad: 100,000+ questions for machine comprehension of text.

KerZOO: Kernel Function Informed Zeroth-Order Optimization for Accurate and Accelerated LLM Fine-Tuning Squad: 100,000+ questions for machine comprehension of text

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:29:37.382935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T14:29:36.172617Z digest=sha256:7c585b2d3acf9de6bf5216133910f5dfc16ce4111e208b1ce77ec88f8077d406

Observation 60e8896f-b050-483c-bfe6-81b4585f7344 · outbound

This paper cites Drop: A reading comprehension benchmark requiring discrete reasoning over paragraphs.

KerZOO: Kernel Function Informed Zeroth-Order Optimization for Accurate and Accelerated LLM Fine-Tuning Drop: A reading comprehension benchmark requiring discrete reasoning over paragraphs

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:29:37.144482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T14:29:36.221823Z digest=sha256:c158a142a1148378447f70d62167b4b27a782cce91d3701677db3b538270c23f

Observation 6fbe28b9-f534-4699-9fc3-a5487e8af73c · outbound

This paper cites An even more optimal stochastic optimization algo- rithm: minibatching and interpolation learning.

KerZOO: Kernel Function Informed Zeroth-Order Optimization for Accurate and Accelerated LLM Fine-Tuning An even more optimal stochastic optimization algo- rithm: minibatching and interpolation learning

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:29:37.012615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T14:29:36.263521Z digest=sha256:e79b081c49bd71cc3a34f258bc1d0abece0a24f2c368adaa6a8109dcc8db790c

Observation d8261ebd-156f-4a04-ac7d-ab5076788630 · outbound

This paper cites Mathematical analysis II, volume 220.

KerZOO: Kernel Function Informed Zeroth-Order Optimization for Accurate and Accelerated LLM Fine-Tuning Mathematical analysis II, volume 220

Reference 62

Resolution
malformed identifier
raw_fallback, observed 2026-08-07T14:29:36.904612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T14:29:36.336552Z digest=sha256:fc9a1b1a6901269dfc785313a36a584a60548b280d9131e3f08502a63341184f

Pith citing papers

Observation f8c0585e-fa75-49a5-984a-48cecb3d2b84 · inbound

Downgrade to Upgrade: Optimizer Simplification Enhances Robustness in LLM Unlearning cites this paper.

Downgrade to Upgrade: Optimizer Simplification Enhances Robustness in LLM Unlearning KerZOO: Kernel Function Informed Zeroth-Order Optimization for Accurate and Accelerated LLM Fine-Tuning

Reference 41

Resolution
verified exact
arxiv_id, observed 2026-05-18T10:46:17.096593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-18T10:44:53.516653Z digest=sha256:e7ae0e3f8599a8daa5118e54aafe8287362fe8c1008ac7d78a62c211ff0ee684

Observation 9d939aff-90ea-4a65-9b4d-5407fc2e80f2 · inbound

Learning Dynamics of Zeroth-Order Optimization: A Kernel Perspective cites this paper.

Learning Dynamics of Zeroth-Order Optimization: A Kernel Perspective KerZOO: Kernel Function Informed Zeroth-Order Optimization for Accurate and Accelerated LLM Fine-Tuning

Reference 13

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T23:16:37.796810Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-05-07T17:33:54.606870Z digest=sha256:615779d2445e00bf07e371b98251ac04b4067d6c56c9e8f09690e498123b392b