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Paper Citation Record · LEDGER

From 2:4 to 8:16 sparsity patterns in LLMs for Outliers and Weights with Variance Correction

As of 6 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 1 inbound Pith citation observation for arXiv:2507.03052.

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

pith.paper-citation-record.v1
2507.03052 v2

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-19T05:45:46.354637Z

measured 35 of 35 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 2026-05-18T13:36:55.938673Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-05-18T13:41:25.880017Z

Reference resolution

34 of 34 outbound references displayed

  • verified exact14
  • verified fuzzy3
  • unresolved17
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e0f6b6d0-93f1-4ebf-a399-d4e3b92c89f9 · outbound

This paper cites online" 'onlinestring :=.

From 2:4 to 8:16 sparsity patterns in LLMs for Outliers and Weights with Variance Correction online" 'onlinestring :=

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T05:47:08.453176Z

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.

source=arxiv_source observed=2026-05-19T05:45:46.354637Z digest=sha256:92393fb0b085fd36378bd7fd14e82150979e8ef8261177034af53309d17e77c2

Observation dee007f8-e7ed-4845-a460-66c81c92b2f1 · outbound

This paper cites write newline.

From 2:4 to 8:16 sparsity patterns in LLMs for Outliers and Weights with Variance Correction write newline

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T05:47:08.455999Z

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.

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Observation 5d7d313f-10c4-4168-bedf-1b26565547fc · outbound

This paper cites write newline.

From 2:4 to 8:16 sparsity patterns in LLMs for Outliers and Weights with Variance Correction write newline

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T05:47:08.461768Z

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.

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Observation 51665942-518f-4518-b0d6-617cd322d039 · outbound

This paper cites an unresolved cited work.

From 2:4 to 8:16 sparsity patterns in LLMs for Outliers and Weights with Variance Correction Unresolved cited work

Reference 4

Resolution
unresolved
raw_fallback, observed 2026-05-19T05:47:08.475096Z

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.

source=arxiv_source observed=2026-05-19T05:45:46.354637Z digest=sha256:6f60a21b3d39bb7e164867c87179c333c59ac5d2848d99e21cd0a966961c75dc

Observation be47e59a-40a8-4c66-b4d3-b67fc3cf38c3 · outbound

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

From 2:4 to 8:16 sparsity patterns in LLMs for Outliers and Weights with Variance Correction Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge

Reference 5

Resolution
verified exact
local_arxiv, observed 2026-05-19T05:47:07.652390Z

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.

source=arxiv_source observed=2026-05-19T05:45:46.354637Z digest=sha256:08607ea634119a1b9b097e4097607bed970be39bc1f368b3460550a5bc8b9ba0

Observation 1c816534-7e10-4001-82b6-edf60c9a8a77 · outbound

This paper cites an unresolved cited work.

From 2:4 to 8:16 sparsity patterns in LLMs for Outliers and Weights with Variance Correction Unresolved cited work

Reference 6

Resolution
unresolved
raw_fallback, observed 2026-05-19T05:47:08.432098Z

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.

source=arxiv_source observed=2026-05-19T05:45:46.354637Z digest=sha256:287f267fa0328e84e5318302fdd6f0ef4c8812d7df14e922418841746e41e8e6

Observation f2d04574-c24e-4ea5-8e33-5f0f81b1829b · outbound

This paper cites an unresolved cited work.

From 2:4 to 8:16 sparsity patterns in LLMs for Outliers and Weights with Variance Correction Unresolved cited work

Reference 7

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unresolved
raw_fallback, observed 2026-05-19T05:47:08.449798Z

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.

source=arxiv_source observed=2026-05-19T05:45:46.354637Z digest=sha256:3fea24f3c2585cf8771160eb92ac5b6be37455445b910f6e0ec3cea8b72105fa

Observation c47f2b99-b8d2-47f0-a23a-a326b70c7a08 · outbound

This paper cites SpQR: A Sparse-Quantized Representation for Near-Lossless LLM Weight Compression.

From 2:4 to 8:16 sparsity patterns in LLMs for Outliers and Weights with Variance Correction SpQR: A Sparse-Quantized Representation for Near-Lossless LLM Weight Compression

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-19T05:47:07.687089Z

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.

source=arxiv_source observed=2026-05-19T05:45:46.354637Z digest=sha256:9cd27d87423527bfba3adcbc1aef6b5f3e6ff7686a1d8fc04ff1d6ea0f479977

Observation 1eb12f30-cf78-4dfb-874a-462d86f57315 · outbound

This paper cites an unresolved cited work.

From 2:4 to 8:16 sparsity patterns in LLMs for Outliers and Weights with Variance Correction Unresolved cited work

Reference 9

Resolution
unresolved
raw_fallback, observed 2026-05-19T05:47:08.443100Z

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.

source=arxiv_source observed=2026-05-19T05:45:46.354637Z digest=sha256:4a90dc82ef4457777657c177ff6511025b9b82ded8e2523936f80fb5a66c1518

Observation 109f16ca-8901-4725-8199-f29d68e6a8bb · outbound

This paper cites GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers.

From 2:4 to 8:16 sparsity patterns in LLMs for Outliers and Weights with Variance Correction GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers

Reference 10

Resolution
verified exact
local_arxiv, observed 2026-05-19T05:47:07.695662Z

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.

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Observation 1a2940ef-5de0-43ba-a3ec-86fe5a97534d · outbound

This paper cites Compression Scaling Laws:Unifying Sparsity and Quantization.

From 2:4 to 8:16 sparsity patterns in LLMs for Outliers and Weights with Variance Correction Compression Scaling Laws:Unifying Sparsity and Quantization

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-19T05:47:07.665616Z

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.

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Observation 8d469375-6615-47cc-a967-96aa1da8f16a · outbound

This paper cites an unresolved cited work.

From 2:4 to 8:16 sparsity patterns in LLMs for Outliers and Weights with Variance Correction Unresolved cited work

Reference 12

Resolution
unresolved
raw_fallback, observed 2026-05-19T05:47:08.476966Z

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.

source=arxiv_source observed=2026-05-19T05:45:46.354637Z digest=sha256:270cd24875e533cf691178b2c171e37025950cc295c32fbd6c3dc51e120f559a

Observation 78dee751-4d38-47c8-b10e-e265dfb70836 · outbound

This paper cites EBFT: Effective and Block-Wise Fine-Tuning for Sparse LLMs.

From 2:4 to 8:16 sparsity patterns in LLMs for Outliers and Weights with Variance Correction EBFT: Effective and Block-Wise Fine-Tuning for Sparse LLMs

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-19T05:47:07.703688Z

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.

source=arxiv_source observed=2026-05-19T05:45:46.354637Z digest=sha256:22d92584d84ed1a2f63002fc02e204f2b1b73a8d08196738b17dad21ca51bfd1

Observation 64d2e5f1-cea0-40c5-82a1-1b52d0d2d3b9 · outbound

This paper cites Effective Interplay between Sparsity and Quantization: From Theory to Practice.

From 2:4 to 8:16 sparsity patterns in LLMs for Outliers and Weights with Variance Correction Effective Interplay between Sparsity and Quantization: From Theory to Practice

Reference 14

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verified exact
arxiv_id, observed 2026-05-19T05:47:07.656874Z

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.

source=arxiv_source observed=2026-05-19T05:45:46.354637Z digest=sha256:63b9605c68b664821f4f23d24f112a58454e026826b97d017eabc36cd314f376

Observation 1e8ea87d-19f0-421a-8b69-89f8d73116b5 · outbound

This paper cites Accelerating Transformer Pre-training with 2:4 Sparsity.

From 2:4 to 8:16 sparsity patterns in LLMs for Outliers and Weights with Variance Correction Accelerating Transformer Pre-training with 2:4 Sparsity

Reference 15

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verified exact
arxiv_id, observed 2026-05-19T05:47:07.661120Z

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.

source=arxiv_source observed=2026-05-19T05:45:46.354637Z digest=sha256:e6e61e089a84063a87d49fe2f3620c87abd76d87aa78b9dd2f54e409979bf362

Observation c2ad9613-2b8f-4f46-a773-7e387700f6c1 · outbound

This paper cites Mistral 7B.

From 2:4 to 8:16 sparsity patterns in LLMs for Outliers and Weights with Variance Correction Mistral 7B

Reference 16

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verified exact
local_arxiv, observed 2026-05-19T05:47:07.707716Z

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.

source=arxiv_source observed=2026-05-19T05:45:46.354637Z digest=sha256:337d9e9f0ffd7046797f17119a9b77223654a30e2ba846b7de416c08fca82b53

Observation 30cb9255-5283-4735-a203-d1790ba8f7e6 · outbound

This paper cites Investigating the Impact of Quantization Methods on the Safety and Reliability of Large Language Models.

From 2:4 to 8:16 sparsity patterns in LLMs for Outliers and Weights with Variance Correction Investigating the Impact of Quantization Methods on the Safety and Reliability of Large Language Models

Reference 17

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verified exact
arxiv_id, observed 2026-05-19T05:47:07.699863Z

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.

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Observation 3ba512b5-b247-4cbd-a4b1-64111e6e7ccf · outbound

This paper cites an unresolved cited work.

From 2:4 to 8:16 sparsity patterns in LLMs for Outliers and Weights with Variance Correction Unresolved cited work

Reference 18

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unresolved
raw_fallback, observed 2026-05-19T05:47:08.478790Z

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.

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Observation 1b053001-4788-42e9-a4e7-e0772dfba9df · outbound

This paper cites an unresolved cited work.

From 2:4 to 8:16 sparsity patterns in LLMs for Outliers and Weights with Variance Correction Unresolved cited work

Reference 19

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raw_fallback, observed 2026-05-19T05:47:08.467950Z

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

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Observation b33d048e-08fc-47a2-85da-615e09a8d83e · outbound

This paper cites Pointer Sentinel Mixture Models.

From 2:4 to 8:16 sparsity patterns in LLMs for Outliers and Weights with Variance Correction Pointer Sentinel Mixture Models

Reference 20

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verified exact
local_arxiv, observed 2026-05-19T05:47:07.691053Z

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.

source=arxiv_source observed=2026-05-19T05:45:46.354637Z digest=sha256:bb8c0cdcffe22ca687d396df58eabf343e8b7a075de975c9b0f662660d8af16a

Observation 3ae74918-1bfd-4fc5-86b2-d10ce2fdd3b6 · outbound

This paper cites an unresolved cited work.

From 2:4 to 8:16 sparsity patterns in LLMs for Outliers and Weights with Variance Correction Unresolved cited work

Reference 21

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

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Observation da4a0719-24eb-4d38-a8be-9c489cd088ac · outbound

This paper cites an unresolved cited work.

From 2:4 to 8:16 sparsity patterns in LLMs for Outliers and Weights with Variance Correction Unresolved cited work

Reference 22

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raw_fallback, observed 2026-05-19T05:47:08.473138Z

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

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Observation 688c36ce-7a81-47ad-8e41-0693c1d67e10 · outbound

This paper cites an unresolved cited work.

From 2:4 to 8:16 sparsity patterns in LLMs for Outliers and Weights with Variance Correction Unresolved cited work

Reference 23

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raw_fallback, observed 2026-05-19T05:47:08.458905Z

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

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Observation 5ca4c23e-cd3b-4350-98a7-8849a1657f3b · outbound

This paper cites an unresolved cited work.

From 2:4 to 8:16 sparsity patterns in LLMs for Outliers and Weights with Variance Correction Unresolved cited work

Reference 24

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raw_fallback, observed 2026-05-19T05:47:08.470875Z

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.

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Observation d1b12304-374a-4928-adc3-56d15cb5df13 · outbound

This paper cites an unresolved cited work.

From 2:4 to 8:16 sparsity patterns in LLMs for Outliers and Weights with Variance Correction Unresolved cited work

Reference 25

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raw_fallback, observed 2026-05-19T05:47:08.445491Z

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.

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Observation 6fc6c1db-43fe-41ae-8106-844b8a2e9115 · outbound

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

From 2:4 to 8:16 sparsity patterns in LLMs for Outliers and Weights with Variance Correction Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 26

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verified exact
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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.

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Observation b82980f6-4587-4814-b452-917a4541938c · outbound

This paper cites an unresolved cited work.

From 2:4 to 8:16 sparsity patterns in LLMs for Outliers and Weights with Variance Correction Unresolved cited work

Reference 27

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raw_fallback, observed 2026-05-19T05:47:08.447630Z

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.

source=arxiv_source observed=2026-05-19T05:45:46.354637Z digest=sha256:91b380d5c0a10d109b73d60ff9b87f5fac531d3ad823ad38891691ac52152f80

Observation b67a232f-89e1-4732-98e9-441c9ddad9b9 · outbound

This paper cites an unresolved cited work.

From 2:4 to 8:16 sparsity patterns in LLMs for Outliers and Weights with Variance Correction Unresolved cited work

Reference 28

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unresolved
raw_fallback, observed 2026-05-19T05:47:08.480809Z

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.

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Observation 90251d0b-bd94-473e-8039-b56416a2a153 · outbound

This paper cites an unresolved cited work.

From 2:4 to 8:16 sparsity patterns in LLMs for Outliers and Weights with Variance Correction Unresolved cited work

Reference 29

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unresolved
raw_fallback, observed 2026-05-19T05:47:08.440893Z

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.

source=arxiv_source observed=2026-05-19T05:45:46.354637Z digest=sha256:75e1fe5ed976d36ee62871068528922c548f998b023b4b625825823e7b0a21eb

Observation 8011c3ad-cff7-4ac8-ae5f-5058df0497ae · outbound

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

From 2:4 to 8:16 sparsity patterns in LLMs for Outliers and Weights with Variance Correction HellaSwag: Can a Machine Really Finish Your Sentence?

Reference 30

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verified exact
local_arxiv, observed 2026-05-19T05:47:07.669991Z

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.

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Observation abeaf1db-e9b7-41ef-b497-6eab516c990c · outbound

This paper cites an unresolved cited work.

From 2:4 to 8:16 sparsity patterns in LLMs for Outliers and Weights with Variance Correction Unresolved cited work

Reference 31

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unresolved
raw_fallback, observed 2026-05-19T05:47:08.434243Z

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.

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Observation 817fb141-9a31-4169-861b-d6b582edf9e5 · outbound

This paper cites an unresolved cited work.

From 2:4 to 8:16 sparsity patterns in LLMs for Outliers and Weights with Variance Correction Unresolved cited work

Reference 32

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raw_fallback, observed 2026-05-19T05:47:08.437309Z

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.

source=arxiv_source observed=2026-05-19T05:45:46.354637Z digest=sha256:567c31a20768196cd9dc00aebfc18805edd1de4bf5f66c2bc84723b983a268ca

Observation eb2cd9b0-b766-4025-92fe-f4bef08ea382 · outbound

This paper cites Beyond 2:4: exploring V:N:M sparsity for efficient transformer inference on GPUs.

From 2:4 to 8:16 sparsity patterns in LLMs for Outliers and Weights with Variance Correction Beyond 2:4: exploring V:N:M sparsity for efficient transformer inference on GPUs

Reference 33

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arxiv_id, observed 2026-05-19T05:47:07.682908Z

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.

source=arxiv_source observed=2026-05-19T05:45:46.354637Z digest=sha256:5c5b34279149b80ee179da2b7a885a46b9f5bc59440b9ccbe44f2cfda77b89e4

Observation 523e0051-c5bd-4a44-ad7c-e5e7988f3850 · outbound

This paper cites GIFT-SW: Gaussian noise Injected Fine-Tuning of Salient Weights for LLMs.

From 2:4 to 8:16 sparsity patterns in LLMs for Outliers and Weights with Variance Correction GIFT-SW: Gaussian noise Injected Fine-Tuning of Salient Weights for LLMs

Reference 34

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arxiv_id, observed 2026-05-19T05:47:07.675126Z

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.

source=arxiv_source observed=2026-05-19T05:45:46.354637Z digest=sha256:97a9d7c6dced2faada7299427fc24627d012dd9862a3079a53f4da4ee203ad8c

Pith citing papers

Observation 4bb9905d-9a27-433f-ad34-af194e18c0e8 · inbound

Motivating Next-Gen Accelerators with Flexible (N:M) Activation Sparsity via Benchmarking Lightweight Post-Training Sparsification Approaches cites this paper.

Motivating Next-Gen Accelerators with Flexible (N:M) Activation Sparsity via Benchmarking Lightweight Post-Training Sparsification Approaches From 2:4 to 8:16 sparsity patterns in LLMs for Outliers and Weights with Variance Correction

Reference 15

Resolution
verified exact
local_arxiv, observed 2026-05-18T13:41:25.882054Z

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.

source=pdf_text observed=2026-05-18T13:36:55.938673Z digest=sha256:48cde117ca9ccb80f929f63e1d245cd23adabca6e9ae8b5ad755cd328e5356c0