Paper Citation Record · LEDGER

Beyond FLOPs: Benchmarking Real Inference Acceleration of LLM Pruning under a GEMM-Centric Taxonomy

As of 5 August 2026, this Paper Citation Record lists 70 of 70 outbound references and 1 inbound Pith citation observation for arXiv:2606.09080.

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

pith.paper-citation-record.v1
2606.09080 v1

Coverage vector

measured 70 of 70 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-27T17:02:30.894934Z

measured 71 of 71 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-31T08:00:57.256732Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

70 of 70 outbound references displayed

verified exact20
verified fuzzy0
unresolved38
parse uncertain0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8783605d-19ea-4427-9ffc-c4aaf8f94493 · outbound

This paper cites A Deeper Look at Depth Pruning of.

Beyond FLOPs: Benchmarking Real Inference Acceleration of LLM Pruning under a GEMM-Centric Taxonomy A Deeper Look at Depth Pruning of

Reference 1

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Observation de5b5d27-1d7b-4d51-b29e-69eec0c6cae3 · outbound

This paper cites V isi P runer: Decoding Discontinuous Cross-Modal Dynamics for Efficient Multimodal LLM s.

Beyond FLOPs: Benchmarking Real Inference Acceleration of LLM Pruning under a GEMM-Centric Taxonomy V isi P runer: Decoding Discontinuous Cross-Modal Dynamics for Efficient Multimodal LLM s

Reference 2

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Observation b9fbb85d-c413-4312-bfff-6abdd700f1a6 · outbound

This paper cites 2026 , eprint=.

Beyond FLOPs: Benchmarking Real Inference Acceleration of LLM Pruning under a GEMM-Centric Taxonomy 2026 , eprint=

Reference 3

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Observation 2f11002f-4650-45fb-9a05-9e33b9ff5069 · outbound

This paper cites 2026 , eprint=.

Beyond FLOPs: Benchmarking Real Inference Acceleration of LLM Pruning under a GEMM-Centric Taxonomy 2026 , eprint=

Reference 4

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Observation 8b879f8a-f1d6-4ea7-b22f-11659bb255f0 · outbound

This paper cites 2026 , eprint=.

Beyond FLOPs: Benchmarking Real Inference Acceleration of LLM Pruning under a GEMM-Centric Taxonomy 2026 , eprint=

Reference 5

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Observation c9cb7c60-71f2-432c-9569-ccf1b83cd1a5 · outbound

This paper cites 2025 , eprint=.

Beyond FLOPs: Benchmarking Real Inference Acceleration of LLM Pruning under a GEMM-Centric Taxonomy 2025 , eprint=

Reference 6

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Observation d2f842d4-a061-4e05-b439-391fa8fad85f · outbound

This paper cites 2024 , eprint=.

Beyond FLOPs: Benchmarking Real Inference Acceleration of LLM Pruning under a GEMM-Centric Taxonomy 2024 , eprint=

Reference 7

Resolution: unresolved; no resolver link, observed 2026-06-27T17:02:30.894934Z

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Observation 9a1947a6-af24-42f5-84d2-8904b204747c · outbound

This paper cites A Survey on Deep Neural Network Pruning: Taxonomy, Comparison, Analysis, and Recommendations , year=.

Beyond FLOPs: Benchmarking Real Inference Acceleration of LLM Pruning under a GEMM-Centric Taxonomy A Survey on Deep Neural Network Pruning: Taxonomy, Comparison, Analysis, and Recommendations , year=

Reference 8

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Observation d1ef2fcd-5187-423c-88cc-b87f68175912 · outbound

This paper cites A Survey on Efficient Inference for Large Language Models.

Beyond FLOPs: Benchmarking Real Inference Acceleration of LLM Pruning under a GEMM-Centric Taxonomy A Survey on Efficient Inference for Large Language Models

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-06-27T17:11:05.747375Z

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Observation ba36a10c-bb6c-4724-80a4-ed517f74857e · outbound

This paper cites Mixture-of-Depths: Dynamically allocating compute in transformer-based language models.

Beyond FLOPs: Benchmarking Real Inference Acceleration of LLM Pruning under a GEMM-Centric Taxonomy Mixture-of-Depths: Dynamically allocating compute in transformer-based language models

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-06-27T17:11:05.742050Z

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Observation c0cabbab-a57f-415c-b933-72ef86a254fe · outbound

This paper cites Forty-Second.

Beyond FLOPs: Benchmarking Real Inference Acceleration of LLM Pruning under a GEMM-Centric Taxonomy Forty-Second

Reference 11

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Observation 17badc65-825f-4f6e-ae3e-3b20b32e5490 · outbound

This paper cites ShortGPT: Layers in large language models are more redundant than you expect.

Beyond FLOPs: Benchmarking Real Inference Acceleration of LLM Pruning under a GEMM-Centric Taxonomy ShortGPT: Layers in large language models are more redundant than you expect

Reference 12

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Observation 275aa7b1-8a36-4231-bc2c-6b6ccf9bca99 · outbound

This paper cites Findings of the.

Beyond FLOPs: Benchmarking Real Inference Acceleration of LLM Pruning under a GEMM-Centric Taxonomy Findings of the

Reference 13

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Observation 84c4bc9e-109a-40ae-853e-897eeb02ff08 · outbound

This paper cites Less is More: Towards Green Code Large Language Models via Unified Structural Pruning.

Beyond FLOPs: Benchmarking Real Inference Acceleration of LLM Pruning under a GEMM-Centric Taxonomy Less is More: Towards Green Code Large Language Models via Unified Structural Pruning

Reference 14

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Observation b0d29c0c-4b70-4e9c-b55a-6ddfb3d18aa7 · outbound

This paper cites MultiPruner: Balanced Structure Removal in Foundation Models.

Beyond FLOPs: Benchmarking Real Inference Acceleration of LLM Pruning under a GEMM-Centric Taxonomy MultiPruner: Balanced Structure Removal in Foundation Models

Reference 15

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Source-reported events for the cited work

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Observation cdefe15b-5862-4af1-942a-d27eade948f5 · outbound

This paper cites Flash-LLM: Enabling Cost-Effective and Highly-Efficient Large Generative Model Inference with Unstructured Sparsity.

Beyond FLOPs: Benchmarking Real Inference Acceleration of LLM Pruning under a GEMM-Centric Taxonomy Flash-LLM: Enabling Cost-Effective and Highly-Efficient Large Generative Model Inference with Unstructured Sparsity

Reference 16

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Source-reported events for the cited work

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Observation 2828d1fd-c1dc-4657-a7cd-c2c0feeb28ff · outbound

This paper cites Efficient.

Beyond FLOPs: Benchmarking Real Inference Acceleration of LLM Pruning under a GEMM-Centric Taxonomy Efficient

Reference 17

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Observation 6b465e38-2965-4947-bac9-9a1054e87cb6 · outbound

This paper cites and do Nascimento, Marcelo Gennari and Hoefler, Torsten and Hensman, James , year = 2023, month = oct, langid =.

Beyond FLOPs: Benchmarking Real Inference Acceleration of LLM Pruning under a GEMM-Centric Taxonomy and do Nascimento, Marcelo Gennari and Hoefler, Torsten and Hensman, James , year = 2023, month = oct, langid =

Reference 18

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Observation abc7e229-8f1b-4c6b-8e99-e5ba17ba664b · outbound

This paper cites Thirty-Seventh.

Beyond FLOPs: Benchmarking Real Inference Acceleration of LLM Pruning under a GEMM-Centric Taxonomy Thirty-Seventh

Reference 19

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Observation 13555b09-9dcc-4d53-aa41-9f72109937b8 · outbound

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Beyond FLOPs: Benchmarking Real Inference Acceleration of LLM Pruning under a GEMM-Centric Taxonomy Unresolved cited work

Reference 20

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Observation 4501e253-9469-4716-b7e5-91172e0ccc03 · outbound

This paper cites arXiv preprint arXiv:2503.09657 , year=.

Beyond FLOPs: Benchmarking Real Inference Acceleration of LLM Pruning under a GEMM-Centric Taxonomy arXiv preprint arXiv:2503.09657 , year=

Reference 21

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Beyond FLOPs: Benchmarking Real Inference Acceleration of LLM Pruning under a GEMM-Centric Taxonomy Unresolved cited work

Reference 22

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Observation aa8fb56b-a7de-4827-b08b-86e083e06b31 · outbound

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Beyond FLOPs: Benchmarking Real Inference Acceleration of LLM Pruning under a GEMM-Centric Taxonomy Unresolved cited work

Reference 23

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Observation cb43ce00-2dc7-48f6-a595-172b0d292c69 · outbound

This paper cites Proceedings of the 40th.

Beyond FLOPs: Benchmarking Real Inference Acceleration of LLM Pruning under a GEMM-Centric Taxonomy Proceedings of the 40th

Reference 24

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Observation 7c851539-8b1b-46bb-98fd-1598d1b7ff71 · outbound

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Beyond FLOPs: Benchmarking Real Inference Acceleration of LLM Pruning under a GEMM-Centric Taxonomy Zico , year = 2023, month = oct, langid =

Reference 25

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Observation b806d1f4-0a01-4e44-82ec-ee543db4bb41 · outbound

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Beyond FLOPs: Benchmarking Real Inference Acceleration of LLM Pruning under a GEMM-Centric Taxonomy Unresolved cited work

Reference 26

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Observation eed05c60-e511-4364-9cef-9674d7cfd015 · outbound

This paper cites Prompt-Based.

Beyond FLOPs: Benchmarking Real Inference Acceleration of LLM Pruning under a GEMM-Centric Taxonomy Prompt-Based

Reference 27

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Beyond FLOPs: Benchmarking Real Inference Acceleration of LLM Pruning under a GEMM-Centric Taxonomy Unresolved cited work

Reference 28

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Beyond FLOPs: Benchmarking Real Inference Acceleration of LLM Pruning under a GEMM-Centric Taxonomy Unresolved cited work

Reference 29

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This paper cites BLASST: Dynamic BLocked Attention Sparsity via Softmax Thresholding.

Beyond FLOPs: Benchmarking Real Inference Acceleration of LLM Pruning under a GEMM-Centric Taxonomy BLASST: Dynamic BLocked Attention Sparsity via Softmax Thresholding

Reference 30

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Observation cda5dc46-fd2f-429b-b1ae-91a3a90a19f6 · outbound

This paper cites Efficient attention mechanisms for large language models: A survey.

Beyond FLOPs: Benchmarking Real Inference Acceleration of LLM Pruning under a GEMM-Centric Taxonomy Efficient attention mechanisms for large language models: A survey

Reference 31

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Beyond FLOPs: Benchmarking Real Inference Acceleration of LLM Pruning under a GEMM-Centric Taxonomy Unresolved cited work

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This paper cites Forty-Second.

Beyond FLOPs: Benchmarking Real Inference Acceleration of LLM Pruning under a GEMM-Centric Taxonomy Forty-Second

Reference 33

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This paper cites A Survey of Large Language Models.

Beyond FLOPs: Benchmarking Real Inference Acceleration of LLM Pruning under a GEMM-Centric Taxonomy A Survey of Large Language Models

Reference 34

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Observation 2875f540-9ce2-4553-b32b-6c5a12781d87 · outbound

This paper cites Kimi K2.5: Visual Agentic Intelligence.

Beyond FLOPs: Benchmarking Real Inference Acceleration of LLM Pruning under a GEMM-Centric Taxonomy Kimi K2.5: Visual Agentic Intelligence

Reference 35

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Observation 697f0eca-b0e9-4a95-baac-11bb9e77dca2 · outbound

This paper cites A survey of scientific large language models: From data foundations to agent frontiers.

Beyond FLOPs: Benchmarking Real Inference Acceleration of LLM Pruning under a GEMM-Centric Taxonomy A survey of scientific large language models: From data foundations to agent frontiers

Reference 36

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Observation 6918d03b-d60f-4c51-9979-55617cbe470e · outbound

This paper cites SGLang: Efficient Execution of Structured Language Model Programs.

Beyond FLOPs: Benchmarking Real Inference Acceleration of LLM Pruning under a GEMM-Centric Taxonomy SGLang: Efficient Execution of Structured Language Model Programs

Reference 37

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Observation 5c7f8f31-68f9-495d-8fec-bc315910deef · outbound

This paper cites Efficient Memory Management for Large Language Model Serving with PagedAttention.

Beyond FLOPs: Benchmarking Real Inference Acceleration of LLM Pruning under a GEMM-Centric Taxonomy Efficient Memory Management for Large Language Model Serving with PagedAttention

Reference 38

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Observation bdc9e7dc-610f-48b6-b142-be9a602932f4 · outbound

This paper cites Int vs fp: A comprehensive study of fine-grained low-bit quantization formats.

Beyond FLOPs: Benchmarking Real Inference Acceleration of LLM Pruning under a GEMM-Centric Taxonomy Int vs fp: A comprehensive study of fine-grained low-bit quantization formats

Reference 39

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Observation be78f15b-4499-4105-8cfc-abc452af05bf · outbound

This paper cites What Matters in Transformers? Not All Attention is Needed.

Beyond FLOPs: Benchmarking Real Inference Acceleration of LLM Pruning under a GEMM-Centric Taxonomy What Matters in Transformers? Not All Attention is Needed

Reference 40

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Observation 49bcd43b-a40e-4fbc-900f-aed73f7be525 · outbound

This paper cites T., and Cox, D.

Beyond FLOPs: Benchmarking Real Inference Acceleration of LLM Pruning under a GEMM-Centric Taxonomy T., and Cox, D

Reference 41

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This paper cites B lock P runer: Fine-grained Pruning for Large Language Models.

Beyond FLOPs: Benchmarking Real Inference Acceleration of LLM Pruning under a GEMM-Centric Taxonomy B lock P runer: Fine-grained Pruning for Large Language Models

Reference 42

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Observation a2b39285-10d9-4d16-abe8-9ae8b345e9de · outbound

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Beyond FLOPs: Benchmarking Real Inference Acceleration of LLM Pruning under a GEMM-Centric Taxonomy Unresolved cited work

Reference 43

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This paper cites The Llama 3 Herd of Models.

Beyond FLOPs: Benchmarking Real Inference Acceleration of LLM Pruning under a GEMM-Centric Taxonomy The Llama 3 Herd of Models

Reference 44

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Observation 7e61f776-9bb7-47ad-9685-58d369709c50 · outbound

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Beyond FLOPs: Benchmarking Real Inference Acceleration of LLM Pruning under a GEMM-Centric Taxonomy Unresolved cited work

Reference 45

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Beyond FLOPs: Benchmarking Real Inference Acceleration of LLM Pruning under a GEMM-Centric Taxonomy Unresolved cited work

Reference 46

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Beyond FLOPs: Benchmarking Real Inference Acceleration of LLM Pruning under a GEMM-Centric Taxonomy Unresolved cited work

Reference 47

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Observation 2e7c57b3-d875-4441-a5e1-64245bf1fd95 · outbound

This paper cites doi:10.48550/arXiv.2512.09946 , archiveprefix =.

Beyond FLOPs: Benchmarking Real Inference Acceleration of LLM Pruning under a GEMM-Centric Taxonomy doi:10.48550/arXiv.2512.09946 , archiveprefix =

Reference 48

Resolution: verified exact; arxiv_id, observed 2026-06-27T17:11:05.730689Z

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Observation 3c7d1934-4b1b-4da0-8885-4c6815a02e8b · outbound

This paper cites Pruning as a.

Beyond FLOPs: Benchmarking Real Inference Acceleration of LLM Pruning under a GEMM-Centric Taxonomy Pruning as a

Reference 49

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This paper cites Shortened LLaMA: Depth Pruning for Large Language Models with Comparison of Retraining Methods.

Beyond FLOPs: Benchmarking Real Inference Acceleration of LLM Pruning under a GEMM-Centric Taxonomy Shortened LLaMA: Depth Pruning for Large Language Models with Comparison of Retraining Methods

Reference 50

Resolution: verified exact; arxiv_id, observed 2026-06-27T17:11:05.721871Z

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Observation 041beb61-d001-4d66-9b0e-e0df04ce510b · outbound

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Beyond FLOPs: Benchmarking Real Inference Acceleration of LLM Pruning under a GEMM-Centric Taxonomy Unresolved cited work

Reference 51

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Observation 0494ec53-2d1e-4e92-b7c4-c7068b9710bc · outbound

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Beyond FLOPs: Benchmarking Real Inference Acceleration of LLM Pruning under a GEMM-Centric Taxonomy Unresolved cited work

Reference 52

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Observation 30de5802-2670-4e62-b99d-24638f747198 · outbound

This paper cites and Shen, Yelong and Wallis, Phillip and.

Beyond FLOPs: Benchmarking Real Inference Acceleration of LLM Pruning under a GEMM-Centric Taxonomy and Shen, Yelong and Wallis, Phillip and

Reference 53

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Observation 58f6ec90-4037-46a0-9c1a-045bcac9556c · outbound

This paper cites Fluctuation-Based.

Beyond FLOPs: Benchmarking Real Inference Acceleration of LLM Pruning under a GEMM-Centric Taxonomy Fluctuation-Based

Reference 54

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Observation 76abf642-63b2-44fe-9b82-dd79686ed455 · outbound

This paper cites arXiv.org , howpublished =.

Beyond FLOPs: Benchmarking Real Inference Acceleration of LLM Pruning under a GEMM-Centric Taxonomy arXiv.org , howpublished =

Reference 55

Resolution: unresolved; no resolver link, observed 2026-06-27T17:02:30.894934Z

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Observation 21ade274-e612-49a2-9f64-dbccceaacb97 · outbound

This paper cites an unresolved cited work.

Beyond FLOPs: Benchmarking Real Inference Acceleration of LLM Pruning under a GEMM-Centric Taxonomy Unresolved cited work

Reference 56

Resolution: unresolved; no resolver link, observed 2026-06-27T17:02:30.894934Z

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Observation b41af558-4887-45cd-ae4a-e366127ecc13 · outbound

This paper cites an unresolved cited work.

Beyond FLOPs: Benchmarking Real Inference Acceleration of LLM Pruning under a GEMM-Centric Taxonomy Unresolved cited work

Reference 57

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Observation da4f2d62-68cf-4dd7-a7ca-e00f77d5f5b9 · outbound

This paper cites Large Language Model Inference Acceleration: A Comprehensive Hardware Perspective.

Beyond FLOPs: Benchmarking Real Inference Acceleration of LLM Pruning under a GEMM-Centric Taxonomy Large Language Model Inference Acceleration: A Comprehensive Hardware Perspective

Reference 58

Resolution: verified exact; arxiv_id, observed 2026-06-27T17:11:05.707747Z

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Observation 8099956c-c11a-4163-88c5-888fc68c228d · outbound

This paper cites doi:10.5281/zenodo.12608602 , url =.

Beyond FLOPs: Benchmarking Real Inference Acceleration of LLM Pruning under a GEMM-Centric Taxonomy doi:10.5281/zenodo.12608602 , url =

Reference 59

Resolution: verified exact; doi, observed 2026-06-27T17:11:05.723738Z

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Observation d35400c8-c124-4bba-8c7a-0a005f247639 · outbound

This paper cites Pointer Sentinel Mixture Models.

Beyond FLOPs: Benchmarking Real Inference Acceleration of LLM Pruning under a GEMM-Centric Taxonomy Pointer Sentinel Mixture Models

Reference 60

Resolution: metadata mismatch; local_arxiv, observed 2026-07-03T00:47:30.322509Z

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Observation c7af06e7-606c-443d-8c42-29f798c0fbd4 · outbound

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

Beyond FLOPs: Benchmarking Real Inference Acceleration of LLM Pruning under a GEMM-Centric Taxonomy Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge

Reference 61

Resolution: metadata mismatch; local_arxiv, observed 2026-07-03T00:47:30.335240Z

Source-reported events for the cited work

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Observation 009fd7da-e152-4001-b8bd-1aadff0e4700 · outbound

This paper cites BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions.

Beyond FLOPs: Benchmarking Real Inference Acceleration of LLM Pruning under a GEMM-Centric Taxonomy BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions

Reference 62

Resolution: metadata mismatch; local_arxiv, observed 2026-07-03T00:47:30.331155Z

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Observation ea425325-d71a-419e-8183-0abcbbe5973c · outbound

This paper cites Proceedings of the AAAI conference on artificial intelligence , volume=.

Beyond FLOPs: Benchmarking Real Inference Acceleration of LLM Pruning under a GEMM-Centric Taxonomy Proceedings of the AAAI conference on artificial intelligence , volume=

Reference 63

Resolution: unresolved; no resolver link, observed 2026-06-27T17:02:30.894934Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7686e2fe-c4ab-4d57-9788-8184fc7db84d · outbound

This paper cites HellaSwag: Can a Machine Really Finish Your Sentence?.

Beyond FLOPs: Benchmarking Real Inference Acceleration of LLM Pruning under a GEMM-Centric Taxonomy HellaSwag: Can a Machine Really Finish Your Sentence?

Reference 64

Resolution: metadata mismatch; local_arxiv, observed 2026-07-03T00:47:30.338207Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 7a5bd771-d3e8-4cc3-b9a7-4321826b980b · outbound

This paper cites Communications of the ACM , volume=.

Beyond FLOPs: Benchmarking Real Inference Acceleration of LLM Pruning under a GEMM-Centric Taxonomy Communications of the ACM , volume=

Reference 65

Resolution: unresolved; no resolver link, observed 2026-06-27T17:02:30.894934Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3ff8f937-c4ac-47db-9c91-ab5b59053f0b · outbound

This paper cites Can a Suit of Armor Conduct Electricity? A New Dataset for Open Book Question Answering.

Beyond FLOPs: Benchmarking Real Inference Acceleration of LLM Pruning under a GEMM-Centric Taxonomy Can a Suit of Armor Conduct Electricity? A New Dataset for Open Book Question Answering

Reference 66

Resolution: metadata mismatch; local_arxiv, observed 2026-07-03T00:47:30.327288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation cdaf0ffa-2dd0-4d6a-938e-f5425b47ea38 · outbound

This paper cites an unresolved cited work.

Beyond FLOPs: Benchmarking Real Inference Acceleration of LLM Pruning under a GEMM-Centric Taxonomy Unresolved cited work

Reference 67

Resolution: unresolved; no resolver link, observed 2026-06-27T17:02:30.894934Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2fe44297-84c4-4251-aea0-8bb23138e7be · outbound

This paper cites Utptrack: Towards simple and unified token pruning for visual tracking.

Beyond FLOPs: Benchmarking Real Inference Acceleration of LLM Pruning under a GEMM-Centric Taxonomy Utptrack: Towards simple and unified token pruning for visual tracking

Reference 68

Resolution: metadata mismatch; arxiv_id, observed 2026-06-27T17:11:05.726523Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 2e16b766-b2e4-44b0-92c6-bad5ebd4c51d · outbound

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Beyond FLOPs: Benchmarking Real Inference Acceleration of LLM Pruning under a GEMM-Centric Taxonomy From Data to Model: A Survey of the Compression Lifecycle in MLLMs , url=

Reference 69

Resolution: verified exact; arxiv_id, observed 2026-06-27T17:11:05.734110Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 50933117-11b6-4df4-9c3a-4739228a6881 · outbound

This paper cites 2026 , eprint=.

Beyond FLOPs: Benchmarking Real Inference Acceleration of LLM Pruning under a GEMM-Centric Taxonomy 2026 , eprint=

Reference 70

Resolution: unresolved; no resolver link, observed 2026-06-27T17:02:30.894934Z

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Pith citing papers

Observation 0eab88f6-d7a0-44b4-af9a-40fc86ba8dc1 · inbound

WIDE: Boosting Adaptive LLM Inference via Token-level Dynamic Width Pruning cites this paper.

WIDE: Boosting Adaptive LLM Inference via Token-level Dynamic Width Pruning Beyond FLOPs: Benchmarking Real Inference Acceleration of LLM Pruning under a GEMM-Centric Taxonomy

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-07-31T08:00:57.256732Z

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Unavailable: canonical work link unavailable.