Paper Citation Record · LEDGER

SparseLoRA: Accelerating LLM Fine-Tuning with Contextual Sparsity

As of 20 August 2026, this Paper Citation Record lists 71 of 71 outbound references and 2 inbound Pith citation observations for arXiv:2506.16500.

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

pith.paper-citation-record.v1
2506.16500 v1

Coverage vector

measured 71 of 71 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T19:30:31.221481Z

measured 73 of 73 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 2026-08-03T11:47:18.974003Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-16T20:18:23.712337Z

Reference resolution

71 of 71 outbound references displayed

verified exact0
verified fuzzy28
unresolved43
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6f41ec9e-4b94-4cf8-a423-e2b7ea6d41cf · outbound

This paper cites write newline.

SparseLoRA: Accelerating LLM Fine-Tuning with Contextual Sparsity write newline

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-15T19:30:30.874926Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ddc986ff-cd34-4139-9cfb-5a09e7cbccb3 · outbound

This paper cites F., Dotzel, J., Zhang, Z., Rush, A.

SparseLoRA: Accelerating LLM Fine-Tuning with Contextual Sparsity F., Dotzel, J., Zhang, Z., Rush, A

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:30:32.284329Z

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.

Observation 8228e43f-abac-45f2-a5b5-d2c4d202054d · outbound

This paper cites I., Belenko, D., Khatamifard, S., Cho, M., Del Mundo, C.

SparseLoRA: Accelerating LLM Fine-Tuning with Contextual Sparsity I., Belenko, D., Khatamifard, S., Cho, M., Del Mundo, C

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:30:32.267160Z

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.

Observation 5ffa2062-a003-4ccc-9074-32b993f592d3 · outbound

This paper cites Progressive Gradient Flow for Robust N:M Sparsity Training in Transformers.

SparseLoRA: Accelerating LLM Fine-Tuning with Contextual Sparsity Progressive Gradient Flow for Robust N:M Sparsity Training in Transformers

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-15T19:30:30.891358Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bc6bbbe6-60e3-40e6-861d-24d889cbbe9a · outbound

This paper cites Piqa: Reasoning about physical commonsense in natural language.

SparseLoRA: Accelerating LLM Fine-Tuning with Contextual Sparsity Piqa: Reasoning about physical commonsense in natural language

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-15T19:30:30.896874Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5e7eab17-0d0e-46e1-a444-93045c83b697 · outbound

This paper cites CE-LoRA: Computation-Efficient LoRA Fine-Tuning for Language Models.

SparseLoRA: Accelerating LLM Fine-Tuning with Contextual Sparsity CE-LoRA: Computation-Efficient LoRA Fine-Tuning for Language Models

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-15T19:30:30.901929Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2d78231b-3114-4ab1-8e0e-f5181d59dc0d · outbound

This paper cites Evaluating Large Language Models Trained on Code.

SparseLoRA: Accelerating LLM Fine-Tuning with Contextual Sparsity Evaluating Large Language Models Trained on Code

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-15T19:30:30.907082Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 65ff228e-8f93-4981-9631-1c77dfc8e924 · outbound

This paper cites Longlora: Efficient fine-tuning of long-context large language models.

SparseLoRA: Accelerating LLM Fine-Tuning with Contextual Sparsity Longlora: Efficient fine-tuning of long-context large language models

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:30:32.240639Z

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.

Observation 452f662a-e779-4327-aef8-c16c7ca77def · outbound

This paper cites B ool Q : Exploring the surprising difficulty of natural yes/no questions.

SparseLoRA: Accelerating LLM Fine-Tuning with Contextual Sparsity B ool Q : Exploring the surprising difficulty of natural yes/no questions

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:30:32.224541Z

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.

Observation 3a6de5cb-f0ba-4e47-b35e-489bc93a73b8 · outbound

This paper cites Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge.

SparseLoRA: Accelerating LLM Fine-Tuning with Contextual Sparsity Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-15T19:30:30.922086Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0cd4a39c-28e4-45ea-89ac-040132a219f9 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

SparseLoRA: Accelerating LLM Fine-Tuning with Contextual Sparsity Training Verifiers to Solve Math Word Problems

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-15T19:30:30.927284Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5349a351-a6cb-4cf6-acbb-c27fcf426493 · outbound

This paper cites QL o RA : Efficient finetuning of quantized LLM s.

SparseLoRA: Accelerating LLM Fine-Tuning with Contextual Sparsity QL o RA : Efficient finetuning of quantized LLM s

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-15T19:30:30.932389Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 420e04f2-6e30-4f9a-a66e-b8dd5d02ab0c · outbound

This paper cites and Alistarh, D.

SparseLoRA: Accelerating LLM Fine-Tuning with Contextual Sparsity and Alistarh, D

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:30:32.196864Z

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.

Observation 67e5f05e-a36d-415a-8d85-b419393c3f03 · outbound

This paper cites The Unreasonable Ineffectiveness of the Deeper Layers.

SparseLoRA: Accelerating LLM Fine-Tuning with Contextual Sparsity The Unreasonable Ineffectiveness of the Deeper Layers

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-15T19:30:30.941764Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 63fed80c-d2ca-40b4-ba6e-fa11e3c6660a · outbound

This paper cites Learning both weights and connections for efficient neural network.

SparseLoRA: Accelerating LLM Fine-Tuning with Contextual Sparsity Learning both weights and connections for efficient neural network

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:30:32.181767Z

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.

Observation 407dff29-71fa-4c92-9816-4cb485249e1e · outbound

This paper cites A., and Dally, W.

SparseLoRA: Accelerating LLM Fine-Tuning with Contextual Sparsity A., and Dally, W

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:30:32.166172Z

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.

Observation dc090218-07f7-47bd-bce7-c0163de1329e · outbound

This paper cites an unresolved cited work.

SparseLoRA: Accelerating LLM Fine-Tuning with Contextual Sparsity Unresolved cited work

Reference 17

Resolution: unresolved; raw_fallback, observed 2026-08-15T19:30:32.149843Z

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.

Observation 2ab43947-ce2d-40db-8f25-ca40777ab37e · outbound

This paper cites Lora+: Efficient low rank adaptation of large models.

SparseLoRA: Accelerating LLM Fine-Tuning with Contextual Sparsity Lora+: Efficient low rank adaptation of large models

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:30:32.134442Z

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.

Observation d50241ec-c656-41ea-9c26-380ecee36c13 · outbound

This paper cites J., Shen, Y., Wallis, P., Allen - Zhu, Z., Li, Y., Wang, S., Wang, L., and Chen, W.

SparseLoRA: Accelerating LLM Fine-Tuning with Contextual Sparsity J., Shen, Y., Wallis, P., Allen - Zhu, Z., Li, Y., Wang, S., Wang, L., and Chen, W

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-15T19:30:30.966696Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c35a3e36-834b-48d6-88d3-b3839811ee42 · outbound

This paper cites an unresolved cited work.

SparseLoRA: Accelerating LLM Fine-Tuning with Contextual Sparsity Unresolved cited work

Reference 20

Resolution: unresolved; raw_fallback, observed 2026-08-15T19:30:32.106808Z

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.

Observation fbcac15b-02cc-4cad-858b-42fff4418d45 · outbound

This paper cites From Low Rank Gradient Subspace Stabilization to Low-Rank Weights: Observations, Theories, and Applications.

SparseLoRA: Accelerating LLM Fine-Tuning with Contextual Sparsity From Low Rank Gradient Subspace Stabilization to Low-Rank Weights: Observations, Theories, and Applications

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-15T19:30:30.976347Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 726f9b22-7f55-407f-ba18-6759d8815381 · outbound

This paper cites MAWPS : A math word problem repository.

SparseLoRA: Accelerating LLM Fine-Tuning with Contextual Sparsity MAWPS : A math word problem repository

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:30:32.090689Z

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.

Observation bc438a24-0899-43f1-a387-60d0b82a72cc · outbound

This paper cites J., Blankevoort, T., and Asano, Y.

SparseLoRA: Accelerating LLM Fine-Tuning with Contextual Sparsity J., Blankevoort, T., and Asano, Y

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-15T19:30:30.986408Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 65158ed3-d21e-4f0e-a07a-4e97de429478 · outbound

This paper cites CATS: Contextually-Aware Thresholding for Sparsity in Large Language Models.

SparseLoRA: Accelerating LLM Fine-Tuning with Contextual Sparsity CATS: Contextually-Aware Thresholding for Sparsity in Large Language Models

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-15T19:30:30.991037Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b13c9f9a-234b-4c54-bfaf-e0a334a957db · outbound

This paper cites Parameter-efficient sparsity for large language models fine-tuning.

SparseLoRA: Accelerating LLM Fine-Tuning with Contextual Sparsity Parameter-efficient sparsity for large language models fine-tuning

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:30:32.065315Z

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.

Observation f350f949-676e-47fa-899f-ffed39428e21 · outbound

This paper cites Loftq: Lora-fine-tuning-aware quantization for large language models.

SparseLoRA: Accelerating LLM Fine-Tuning with Contextual Sparsity Loftq: Lora-fine-tuning-aware quantization for large language models

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:30:32.050657Z

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.

Observation 58d6be85-26ce-4f9c-91f0-5769d68c51cc · outbound

This paper cites S., Reddi, S.

SparseLoRA: Accelerating LLM Fine-Tuning with Contextual Sparsity S., Reddi, S

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:30:32.035120Z

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.

Observation 14c00d88-1011-49bd-a1d4-8cc0cab603d5 · outbound

This paper cites Program induction by rationale generation: Learning to solve and explain algebraic word problems.

SparseLoRA: Accelerating LLM Fine-Tuning with Contextual Sparsity Program induction by rationale generation: Learning to solve and explain algebraic word problems

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:30:32.019313Z

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.

Observation bbcea255-cfb7-4c06-94b6-cd5279bc9479 · outbound

This paper cites S., Wang, Y., and Zhang, L.

SparseLoRA: Accelerating LLM Fine-Tuning with Contextual Sparsity S., Wang, Y., and Zhang, L

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-15T19:30:31.016280Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 60be2650-01e8-44fe-afb5-052321742ec1 · outbound

This paper cites Training-Free Activation Sparsity in Large Language Models.

SparseLoRA: Accelerating LLM Fine-Tuning with Contextual Sparsity Training-Free Activation Sparsity in Large Language Models

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-15T19:30:31.020889Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 08e46858-6d01-44aa-b28c-727a44940a67 · outbound

This paper cites F., Cheng, K.-T., and Chen, M.-H.

SparseLoRA: Accelerating LLM Fine-Tuning with Contextual Sparsity F., Cheng, K.-T., and Chen, M.-H

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:30:31.992109Z

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.

Observation dce0a715-37d1-40f4-9920-6dca83cc4f96 · outbound

This paper cites J., Weller, A., and Sch \" o lkopf, B.

SparseLoRA: Accelerating LLM Fine-Tuning with Contextual Sparsity J., Weller, A., and Sch \" o lkopf, B

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:30:31.976898Z

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.

Observation b9ca281a-c753-4da6-9af9-d615f20c5255 · outbound

This paper cites Deja vu: Contextual sparsity for efficient llms at inference time.

SparseLoRA: Accelerating LLM Fine-Tuning with Contextual Sparsity Deja vu: Contextual sparsity for efficient llms at inference time

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:30:31.960835Z

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.

Observation ae25d01a-1a8f-42a6-b21f-25faaeff3e7d · outbound

This paper cites STEP : Learning N : M structured sparsity masks from scratch with precondition.

SparseLoRA: Accelerating LLM Fine-Tuning with Contextual Sparsity STEP : Learning N : M structured sparsity masks from scratch with precondition

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:30:31.945319Z

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.

Observation 1daaed7e-b433-48ba-9f43-2782da30c9ec · outbound

This paper cites Sparsity-accelerated training for large language models.

SparseLoRA: Accelerating LLM Fine-Tuning with Contextual Sparsity Sparsity-accelerated training for large language models

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:30:31.928407Z

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.

Observation 4121ad37-6235-4cb0-b58a-c52d0026f89f · outbound

This paper cites PiSSA: Principal Singular Values and Singular Vectors Adaptation of Large Language Models.

SparseLoRA: Accelerating LLM Fine-Tuning with Contextual Sparsity PiSSA: Principal Singular Values and Singular Vectors Adaptation of Large Language Models

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-15T19:30:31.050170Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 38a3fbb1-bce3-4eae-8d90-d0b3845ae4cd · outbound

This paper cites Can a suit of armor conduct electricity? a new dataset for open book question answering.

SparseLoRA: Accelerating LLM Fine-Tuning with Contextual Sparsity Can a suit of armor conduct electricity? a new dataset for open book question answering

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:30:31.913215Z

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.

Observation 2df885b0-358b-4c85-ad67-3ea207b9f546 · outbound

This paper cites an unresolved cited work.

SparseLoRA: Accelerating LLM Fine-Tuning with Contextual Sparsity Unresolved cited work

Reference 38

Resolution: unresolved; raw_fallback, observed 2026-08-15T19:30:31.897957Z

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.

Observation 1ce5f9e2-2257-4df7-a0f2-52512707ef44 · outbound

This paper cites SLoPe: Double-Pruned Sparse Plus Lazy Low-Rank Adapter Pretraining of LLMs.

SparseLoRA: Accelerating LLM Fine-Tuning with Contextual Sparsity SLoPe: Double-Pruned Sparse Plus Lazy Low-Rank Adapter Pretraining of LLMs

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-15T19:30:31.064305Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c5d50353-2257-476c-81aa-d1a3d155a43f · outbound

This paper cites Lisa: layerwise importance sampling for memory-efficient large language model fine-tuning.

SparseLoRA: Accelerating LLM Fine-Tuning with Contextual Sparsity Lisa: layerwise importance sampling for memory-efficient large language model fine-tuning

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:30:31.882776Z

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.

Observation 5bac5c15-1e47-4e27-905d-87537179e7a5 · outbound

This paper cites an unresolved cited work.

SparseLoRA: Accelerating LLM Fine-Tuning with Contextual Sparsity Unresolved cited work

Reference 41

Resolution: unresolved; raw_fallback, observed 2026-08-15T19:30:31.868069Z

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.

Observation d81b11aa-2941-44db-8ecc-1e4311d74b41 · outbound

This paper cites Controlling text-to-image diffusion by orthogonal finetuning.

SparseLoRA: Accelerating LLM Fine-Tuning with Contextual Sparsity Controlling text-to-image diffusion by orthogonal finetuning

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-15T19:30:31.078609Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bb247647-be68-40d6-925f-645adb2d6bb9 · outbound

This paper cites Capabilities of Gemini Models in Medicine.

SparseLoRA: Accelerating LLM Fine-Tuning with Contextual Sparsity Capabilities of Gemini Models in Medicine

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-15T19:30:31.083507Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6e93d891-f4f4-4534-898f-4a6b5813ddb6 · outbound

This paper cites L., Bhagavatula, C., and Choi, Y.

SparseLoRA: Accelerating LLM Fine-Tuning with Contextual Sparsity L., Bhagavatula, C., and Choi, Y

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-15T19:30:31.088642Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0840da04-f958-4218-b63e-a063b0b32ea0 · outbound

This paper cites Social IQ a: Commonsense reasoning about social interactions.

SparseLoRA: Accelerating LLM Fine-Tuning with Contextual Sparsity Social IQ a: Commonsense reasoning about social interactions

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-15T19:30:31.093400Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d7a9b9d0-e19d-443b-ac0b-71999bef6980 · outbound

This paper cites TOAST: Transfer Learning via Attention Steering.

SparseLoRA: Accelerating LLM Fine-Tuning with Contextual Sparsity TOAST: Transfer Learning via Attention Steering

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-15T19:30:31.098256Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 51418221-5efa-4809-965f-2488e6f923f1 · outbound

This paper cites ProSparse: Introducing and Enhancing Intrinsic Activation Sparsity within Large Language Models.

SparseLoRA: Accelerating LLM Fine-Tuning with Contextual Sparsity ProSparse: Introducing and Enhancing Intrinsic Activation Sparsity within Large Language Models

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-15T19:30:31.103327Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 77ce4b68-439a-4e2d-91e7-cb218e1b2495 · outbound

This paper cites Powerinfer: Fast large language model serving with a consumer-grade gpu, 2023.

SparseLoRA: Accelerating LLM Fine-Tuning with Contextual Sparsity Powerinfer: Fast large language model serving with a consumer-grade gpu, 2023

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:30:31.825218Z

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.

Observation 1a2d63f5-0d59-4a7a-b035-debbd6c5172b · outbound

This paper cites Turbo Sparse: Achieving LLM SOTA Performance with Minimal Activated Parameters.

SparseLoRA: Accelerating LLM Fine-Tuning with Contextual Sparsity Turbo Sparse: Achieving LLM SOTA Performance with Minimal Activated Parameters

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-15T19:30:31.113616Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aabed601-c8cb-481b-a89f-38c287a7f5e5 · outbound

This paper cites an unresolved cited work.

SparseLoRA: Accelerating LLM Fine-Tuning with Contextual Sparsity Unresolved cited work

Reference 50

Resolution: unresolved; raw_fallback, observed 2026-08-15T19:30:31.807868Z

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.

Observation 17885505-14c3-4246-88b0-7f4f8af14e5c · outbound

This paper cites Gemma: Open Models Based on Gemini Research and Technology.

SparseLoRA: Accelerating LLM Fine-Tuning with Contextual Sparsity Gemma: Open Models Based on Gemini Research and Technology

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-15T19:30:31.123523Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5ea9813b-b1f1-4367-9a3d-4f9c278c123f · outbound

This paper cites Gemma 2: Improving Open Language Models at a Practical Size.

SparseLoRA: Accelerating LLM Fine-Tuning with Contextual Sparsity Gemma 2: Improving Open Language Models at a Practical Size

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-15T19:30:31.128657Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f6413f68-af07-43c3-85f8-f0274e892d57 · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

SparseLoRA: Accelerating LLM Fine-Tuning with Contextual Sparsity Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-15T19:30:31.133486Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6a727c21-0cfc-44cb-830d-29c7358c982a · outbound

This paper cites The Llama 3 Herd of Models.

SparseLoRA: Accelerating LLM Fine-Tuning with Contextual Sparsity The Llama 3 Herd of Models

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-15T19:30:31.138101Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 545db532-b3ca-4247-98a3-d9957a1ea59e · outbound

This paper cites SPDF: sparse pre-training and dense fine-tuning for large language models.

SparseLoRA: Accelerating LLM Fine-Tuning with Contextual Sparsity SPDF: sparse pre-training and dense fine-tuning for large language models

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:30:31.792462Z

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.

Observation babaea08-7523-4f4a-9916-01d654c30cb3 · outbound

This paper cites GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding.

SparseLoRA: Accelerating LLM Fine-Tuning with Contextual Sparsity GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-15T19:30:31.147753Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a083ffc5-f3bf-48fc-8012-2a3dd1c57920 · outbound

This paper cites LoRA-GA: Low-Rank Adaptation with Gradient Approximation.

SparseLoRA: Accelerating LLM Fine-Tuning with Contextual Sparsity LoRA-GA: Low-Rank Adaptation with Gradient Approximation

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-15T19:30:31.152394Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 03745aa9-8ee8-4b97-b248-c5f8478e032f · outbound

This paper cites LoRA-Pro: Are Low-Rank Adapters Properly Optimized?.

SparseLoRA: Accelerating LLM Fine-Tuning with Contextual Sparsity LoRA-Pro: Are Low-Rank Adapters Properly Optimized?

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-15T19:30:31.157388Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d11f56c4-e30b-4cdd-a9e9-093f9bc88854 · outbound

This paper cites S mooth Q uant: Accurate and efficient post-training quantization for large language models.

SparseLoRA: Accelerating LLM Fine-Tuning with Contextual Sparsity S mooth Q uant: Accurate and efficient post-training quantization for large language models

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-15T19:30:31.163044Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e3da69cf-b162-4c39-9b23-a2d6586f701b · outbound

This paper cites Wizardlm: Empowering large pre-trained language models to follow complex instructions.

SparseLoRA: Accelerating LLM Fine-Tuning with Contextual Sparsity Wizardlm: Empowering large pre-trained language models to follow complex instructions

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-15T19:30:31.167799Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 04ba6675-87b1-4c23-b053-d03152eb5e06 · outbound

This paper cites PowerInfer-2: Fast Large Language Model Inference on a Smartphone.

SparseLoRA: Accelerating LLM Fine-Tuning with Contextual Sparsity PowerInfer-2: Fast Large Language Model Inference on a Smartphone

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-15T19:30:31.172365Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3f4c1446-f281-474e-a0b7-12c59a7d3a80 · outbound

This paper cites S\ \ 2\ \ FT : Efficient, scalable and generalizable LLM fine-tuning by structured sparsity.

SparseLoRA: Accelerating LLM Fine-Tuning with Contextual Sparsity S\ \ 2\ \ FT : Efficient, scalable and generalizable LLM fine-tuning by structured sparsity

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:30:31.754814Z

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.

Observation 4aa7f3c7-28a8-42f2-a830-eaab75dfaf9e · outbound

This paper cites Hellaswag: Can a machine really finish your sentence? In Proceedings of the 57th Conference of the Association for Computational Linguistics, pp.\ 4791--4800, 2019.

SparseLoRA: Accelerating LLM Fine-Tuning with Contextual Sparsity Hellaswag: Can a machine really finish your sentence? In Proceedings of the 57th Conference of the Association for Computational Linguistics, pp.\ 4791--4800, 2019

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:30:31.739073Z

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.

Observation a7bd526b-4aae-4861-bfa3-25061ec05015 · outbound

This paper cites LLaMA-Adapter: Efficient Fine-tuning of Language Models with Zero-init Attention.

SparseLoRA: Accelerating LLM Fine-Tuning with Contextual Sparsity LLaMA-Adapter: Efficient Fine-tuning of Language Models with Zero-init Attention

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:30:31.723631Z

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.

Observation 9cae2f72-c066-4659-a25f-48b1040ab36a · outbound

This paper cites Q-GaLore: Quantized GaLore with INT4 Projection and Layer-Adaptive Low-Rank Gradients.

SparseLoRA: Accelerating LLM Fine-Tuning with Contextual Sparsity Q-GaLore: Quantized GaLore with INT4 Projection and Layer-Adaptive Low-Rank Gradients

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-15T19:30:31.192322Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8c4c0ae3-1190-4587-a6c5-667e3b024fc6 · outbound

This paper cites ReLU$^2$ Wins: Discovering Efficient Activation Functions for Sparse LLMs.

SparseLoRA: Accelerating LLM Fine-Tuning with Contextual Sparsity ReLU$^2$ Wins: Discovering Efficient Activation Functions for Sparse LLMs

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-15T19:30:31.197582Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ae340405-71af-4156-9be4-0c7f160f64b3 · outbound

This paper cites G a L ore: Memory-efficient LLM training by gradient low-rank projection.

SparseLoRA: Accelerating LLM Fine-Tuning with Contextual Sparsity G a L ore: Memory-efficient LLM training by gradient low-rank projection

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:30:31.707836Z

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.

Observation 793bb70a-dfce-42d7-8ebc-4ef8019f402e · outbound

This paper cites Learn to be efficient: Build structured sparsity in large language models.

SparseLoRA: Accelerating LLM Fine-Tuning with Contextual Sparsity Learn to be efficient: Build structured sparsity in large language models

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:30:31.691988Z

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.

Observation 3b47c716-8ba3-4ab3-a951-91d5e6668e74 · outbound

This paper cites Judging llm-as-a-judge with mt-bench and chatbot arena.

SparseLoRA: Accelerating LLM Fine-Tuning with Contextual Sparsity Judging llm-as-a-judge with mt-bench and chatbot arena

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-15T19:30:31.212009Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dd58ea1d-d296-403d-bb82-9ab6ac15177f · outbound

This paper cites OpenCodeInterpreter: Integrating Code Generation with Execution and Refinement.

SparseLoRA: Accelerating LLM Fine-Tuning with Contextual Sparsity OpenCodeInterpreter: Integrating Code Generation with Execution and Refinement

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-15T19:30:31.216380Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b4331137-74a8-44b7-a677-0856e7091fb5 · outbound

This paper cites Efficient neural network training via forward and backward propagation sparsification.

SparseLoRA: Accelerating LLM Fine-Tuning with Contextual Sparsity Efficient neural network training via forward and backward propagation sparsification

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:30:31.664815Z

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.

Pith citing papers

Observation 3812250e-f85e-4288-bc9d-998dc44ea199 · inbound

Selective LoRA for Visual Tokens and Attention Heads cites this paper.

Selective LoRA for Visual Tokens and Attention Heads SparseLoRA: Accelerating LLM Fine-Tuning with Contextual Sparsity

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-16T20:18:23.714600Z

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.

Observation cb4a4133-1aa6-49b9-9167-76d301d32700 · inbound

Sparsity-Aware Low-Rank Representation for Efficient Fine-Tuning of Large Language Models cites this paper.

Sparsity-Aware Low-Rank Representation for Efficient Fine-Tuning of Large Language Models SparseLoRA: Accelerating LLM Fine-Tuning with Contextual Sparsity

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-03T11:47:18.974003Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.