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Paper Citation Record · LEDGER

SparseForge: Efficient Semi-Structured LLM Sparsification via Annealing of Hessian-Guided Soft-Mask

As of 4 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 0 inbound Pith citation observations for arXiv:2605.06402.

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

pith.paper-citation-record.v1
2605.06402 v1

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-08T12:46:30.820552Z

measured 41 of 41 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-03T06:30:56.289259+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

41 of 41 outbound references displayed

  • verified exact15
  • verified fuzzy13
  • unresolved8
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch4

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 73293731-6e7f-4a5a-921e-ad499618194a · outbound

This paper cites allenai/dolmino-mix-1124.

SparseForge: Efficient Semi-Structured LLM Sparsification via Annealing of Hessian-Guided Soft-Mask allenai/dolmino-mix-1124

Reference 1

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-08T12:46:30.820552Z digest=sha256:74ce5cbf45808d37923ea2e6a6a83753dd134105c8188af8a168654c8099b5f8

Observation ea1bc149-90df-4c57-9425-5e8da7ce7d4c · outbound

This paper cites Lessons from the Trenches on Reproducible Evaluation of Language Models.

SparseForge: Efficient Semi-Structured LLM Sparsification via Annealing of Hessian-Guided Soft-Mask Lessons from the Trenches on Reproducible Evaluation of Language Models

Reference 2

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arxiv_id, observed 2026-05-16T18:44:50.211576Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-08T12:46:30.820552Z digest=sha256:1f9ab065abe614591df7c4a4451f81d0c234697327f2c69dfd48df01723b7118

Observation 5a9a1fe8-b550-4dbe-b9ec-f1cb3f40d727 · outbound

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

SparseForge: Efficient Semi-Structured LLM Sparsification via Annealing of Hessian-Guided Soft-Mask Piqa: Reasoning about physical commonsense in natural language

Reference 3

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verified fuzzy
raw_fallback, observed 2026-05-26T13:02:23.228550Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-08T12:46:30.820552Z digest=sha256:b8fcf54fb683dc92330ca8f01b01a33b326a5b89c635cd4a9c35a51fb2e9500a

Observation 932525e4-aea8-4cc0-8329-8066dc05a080 · outbound

This paper cites an unresolved cited work.

SparseForge: Efficient Semi-Structured LLM Sparsification via Annealing of Hessian-Guided Soft-Mask Unresolved cited work

Reference 4

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unresolved
raw_fallback, observed 2026-05-26T13:02:23.232105Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-08T12:46:30.820552Z digest=sha256:fcd78cd035f12d97cba62724a6fca69204792f60f41d108bf47bdfec58d14c77

Observation 1890a6ee-1b67-437f-a8a6-0d06424ae00d · outbound

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

SparseForge: Efficient Semi-Structured LLM Sparsification via Annealing of Hessian-Guided Soft-Mask BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions

Reference 5

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arxiv_id, observed 2026-05-13T09:46:19.833273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-08T12:46:30.820552Z digest=sha256:c6bef16fd086eefb1eef05ca8caebcb7416fbc9e55ec102c4b7981f28b54b1ab

Observation 0ecf34c5-9980-4637-b469-d4e801fcd647 · outbound

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

SparseForge: Efficient Semi-Structured LLM Sparsification via Annealing of Hessian-Guided Soft-Mask Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge

Reference 6

Resolution
verified exact
local_arxiv, observed 2026-05-11T19:06:08.514768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-08T12:46:30.820552Z digest=sha256:42dfcd748e75b09d60d287c094bb4a192f0f549750d5abd66c1b06c9bdbf51e8

Observation 5b948732-6592-4e47-8f84-f42480d6ed29 · outbound

This paper cites an unresolved cited work.

SparseForge: Efficient Semi-Structured LLM Sparsification via Annealing of Hessian-Guided Soft-Mask Unresolved cited work

Reference 7

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raw_fallback, observed 2026-05-26T13:02:23.243884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-08T12:46:30.820552Z digest=sha256:648329b3dbdf734d94237556aad4d1d2df62d5b8bd5094773af3c3845e84f0cd

Observation f491c641-5f54-4ba9-baa8-b051a4ad418a · outbound

This paper cites Documenting large webtext corpora: A case study on the colossal clean crawled corpus.

SparseForge: Efficient Semi-Structured LLM Sparsification via Annealing of Hessian-Guided Soft-Mask Documenting large webtext corpora: A case study on the colossal clean crawled corpus

Reference 8

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raw_fallback, observed 2026-05-26T13:02:23.224651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-08T12:46:30.820552Z digest=sha256:d12ece2df184310466e29a39783b5c736d61329b2f69ec865ed643964ee66dff

Observation db18303d-5964-44cb-9905-b954c465d519 · outbound

This paper cites an unresolved cited work.

SparseForge: Efficient Semi-Structured LLM Sparsification via Annealing of Hessian-Guided Soft-Mask Unresolved cited work

Reference 9

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raw_fallback, observed 2026-05-26T13:02:23.236846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

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Observation ed191b98-9a15-4606-a957-6c16b8089730 · outbound

This paper cites MaskLLM: Learnable Semi-Structured Sparsity for Large Language Models.

SparseForge: Efficient Semi-Structured LLM Sparsification via Annealing of Hessian-Guided Soft-Mask MaskLLM: Learnable Semi-Structured Sparsity for Large Language Models

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-05-11T19:06:08.501381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-08T12:46:30.820552Z digest=sha256:2d457024b58a3287884fb5a8c9f5eb5d5a8139636b09cf54721dc38c1ad46267

Observation 2414f497-82c6-4266-8632-25f50a27784b · outbound

This paper cites SparseGPT: Massive Language Models Can Be Accurately Pruned in One-Shot.

SparseForge: Efficient Semi-Structured LLM Sparsification via Annealing of Hessian-Guided Soft-Mask SparseGPT: Massive Language Models Can Be Accurately Pruned in One-Shot

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-11T19:06:08.545542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-08T12:46:30.820552Z digest=sha256:2eabf748127747109020fe0b9850ab0b31a8d93109bae491eb1bbc6591514219

Observation c5813177-f0c6-49cf-9712-228d2550e0b3 · outbound

This paper cites The State of Sparsity in Deep Neural Networks.

SparseForge: Efficient Semi-Structured LLM Sparsification via Annealing of Hessian-Guided Soft-Mask The State of Sparsity in Deep Neural Networks

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-11T19:06:08.437067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

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Observation e7afbd21-8568-4727-87fc-bc4d3a282588 · outbound

This paper cites an unresolved cited work.

SparseForge: Efficient Semi-Structured LLM Sparsification via Annealing of Hessian-Guided Soft-Mask Unresolved cited work

Reference 13

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raw_fallback, observed 2026-05-26T13:02:23.285750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-08T12:46:30.820552Z digest=sha256:fd66ad915eeed78ec293be5b73c5a688f6745391af6436f915e8c90d997af2a4

Observation da3927b0-03c9-4111-9216-9f7611f1ca8e · outbound

This paper cites an unresolved cited work.

SparseForge: Efficient Semi-Structured LLM Sparsification via Annealing of Hessian-Guided Soft-Mask Unresolved cited work

Reference 14

Resolution
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raw_fallback, observed 2026-05-26T13:02:23.282406Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-08T12:46:30.820552Z digest=sha256:157bb4d219ba6f6b38f05bb3551ea747c599bfe94f804b7cc04a73d5103207b4

Observation 4456f6d1-8148-482a-8c64-eb7893022493 · outbound

This paper cites Pruning large lan- guage models with semi-structural adaptive sparse training.

SparseForge: Efficient Semi-Structured LLM Sparsification via Annealing of Hessian-Guided Soft-Mask Pruning large lan- guage models with semi-structural adaptive sparse training

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T13:02:23.289718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-08T12:46:30.820552Z digest=sha256:cb90e15e6b743cae18d6386e67d475341c2475afa4d6b087e4591008091b11eb

Observation f96cb437-6803-48ad-8e17-7fb15d8c49a7 · outbound

This paper cites Cast: Continuous and differentiable semi-structured sparsity-aware training for large language models.ArXiv, abs/2509.25996.

SparseForge: Efficient Semi-Structured LLM Sparsification via Annealing of Hessian-Guided Soft-Mask Cast: Continuous and differentiable semi-structured sparsity-aware training for large language models.ArXiv, abs/2509.25996

Reference 16

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arxiv_id, observed 2026-05-11T19:06:08.460252Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

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Observation 5bca4fd0-b03a-47ea-aec2-3910a53dc18e · outbound

This paper cites an unresolved cited work.

SparseForge: Efficient Semi-Structured LLM Sparsification via Annealing of Hessian-Guided Soft-Mask Unresolved cited work

Reference 17

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raw_fallback, observed 2026-05-26T13:02:23.266352Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

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Observation 14a30647-9c14-449a-9c77-f141936ea8b6 · outbound

This paper cites Hutchinson.

SparseForge: Efficient Semi-Structured LLM Sparsification via Annealing of Hessian-Guided Soft-Mask Hutchinson

Reference 18

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doi, observed 2026-05-08T21:34:15.218148Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-08T12:46:30.820552Z digest=sha256:6d76cecaf11d5dde1235f7d42fea22ae04b7eec70e0f3abe81f60011c3d5d215

Observation 0bbf6361-a469-4e96-b9a8-51f2cab6e566 · outbound

This paper cites RACE: Large-scale ReAding Comprehension Dataset From Examinations.

SparseForge: Efficient Semi-Structured LLM Sparsification via Annealing of Hessian-Guided Soft-Mask RACE: Large-scale ReAding Comprehension Dataset From Examinations

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-05-11T19:06:08.455793Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-08T12:46:30.820552Z digest=sha256:fab2dc9c65e119aa379132e208d3059393b79dc05d1f0bbb2c17b45fb9ba599c

Observation b39b5a15-474b-4725-9fae-dba3c492e3d7 · outbound

This paper cites Denker, and Sara A.

SparseForge: Efficient Semi-Structured LLM Sparsification via Annealing of Hessian-Guided Soft-Mask Denker, and Sara A

Reference 20

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raw_fallback, observed 2026-05-26T13:02:23.274483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-08T12:46:30.820552Z digest=sha256:5d40ac755fdea639b1473bbf4d47ca280382986856ba722db566418fc3afe65c

Observation eb3f143e-6625-48e8-8fb6-c2e71e837f8f · outbound

This paper cites Pruning Filters for Efficient ConvNets.

SparseForge: Efficient Semi-Structured LLM Sparsification via Annealing of Hessian-Guided Soft-Mask Pruning Filters for Efficient ConvNets

Reference 21

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verified exact
arxiv_id, observed 2026-05-11T19:06:08.480186Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-08T12:46:30.820552Z digest=sha256:37f4f20ab8dd89f1932b58e4bf2c6af0d836032a3113f9770158daaf31ec40ef

Observation 7a2e3742-7a77-416a-8f90-75f1fd75cbd0 · outbound

This paper cites Learning efficient convolutional networks through network slimming.2017 IEEE Inter- national Conference on Computer Vision (ICCV), pages 2755–2763.

SparseForge: Efficient Semi-Structured LLM Sparsification via Annealing of Hessian-Guided Soft-Mask Learning efficient convolutional networks through network slimming.2017 IEEE Inter- national Conference on Computer Vision (ICCV), pages 2755–2763

Reference 22

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raw_fallback, observed 2026-05-26T13:02:23.262859Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-08T12:46:30.820552Z digest=sha256:ce160a5f8e82dfc05f00872e8a157c5da1e40f3cd93b950038903bf0546588ef

Observation de17fd8b-db8a-4341-bbed-46441992df10 · outbound

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

SparseForge: Efficient Semi-Structured LLM Sparsification via Annealing of Hessian-Guided Soft-Mask Can a suit of armor conduct electricity? a new dataset for open book question answering

Reference 23

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verified fuzzy
raw_fallback, observed 2026-05-26T13:02:23.278821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-08T12:46:30.820552Z digest=sha256:314e791b7da36413012634117a3bf29ead28fd81d334147280b06f6abe09bac9

Observation acda1e4b-ac2c-4f90-a49e-0ddae2ffedd2 · outbound

This paper cites Accelerating Sparse Deep Neural Networks.

SparseForge: Efficient Semi-Structured LLM Sparsification via Annealing of Hessian-Guided Soft-Mask Accelerating Sparse Deep Neural Networks

Reference 24

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arxiv_id, observed 2026-05-11T19:06:08.508514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-08T12:46:30.820552Z digest=sha256:f2cb0a7f49dcd36c59ff355b68ac61bcb733a049e6ac29fca26dcbde00682d8a

Observation 0898aeed-a4a7-47ef-bd98-16690317cc57 · outbound

This paper cites Nvidia ampere architecture in-depth.

SparseForge: Efficient Semi-Structured LLM Sparsification via Annealing of Hessian-Guided Soft-Mask Nvidia ampere architecture in-depth

Reference 25

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verified fuzzy
raw_fallback, observed 2026-05-26T13:02:23.296785Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-08T12:46:30.820552Z digest=sha256:95d4de417d9f41b14904a81250cb94660f50449b7d5431ef7c11f5ebc7da4bc3

Observation 21aa8bcf-3b90-4c61-907a-2f6705d365f8 · outbound

This paper cites 2 OLMo 2 Furious.

SparseForge: Efficient Semi-Structured LLM Sparsification via Annealing of Hessian-Guided Soft-Mask 2 OLMo 2 Furious

Reference 26

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local_arxiv, observed 2026-05-11T19:06:08.568350Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-08T12:46:30.820552Z digest=sha256:4a431e6438ed45ad7b7709887e78fe6921c35d75a95eb1b82a688628ef9a91e2

Observation 3d3f3c9a-7c92-49b3-b07e-d1e5c10e92b6 · outbound

This paper cites Language models are unsupervised multitask learners.

SparseForge: Efficient Semi-Structured LLM Sparsification via Annealing of Hessian-Guided Soft-Mask Language models are unsupervised multitask learners

Reference 27

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verified fuzzy
raw_fallback, observed 2026-05-26T13:02:23.301587Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-08T12:46:30.820552Z digest=sha256:291fd479fbd1ecbc52e316e69f7b4c25da636c7c2712cd3e9ea80e3f3411d15e

Observation f0ad4d78-089e-4a6b-a247-07d0c9c10448 · outbound

This paper cites an unresolved cited work.

SparseForge: Efficient Semi-Structured LLM Sparsification via Annealing of Hessian-Guided Soft-Mask Unresolved cited work

Reference 28

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unresolved
raw_fallback, observed 2026-05-26T13:02:23.247113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-08T12:46:30.820552Z digest=sha256:f767204ea570d1d791a02c2618e20c7a0564a63917163f1ae10e843c194880d8

Observation d4da1d33-4dae-4ff3-b9d3-81f617c8d534 · outbound

This paper cites an unresolved cited work.

SparseForge: Efficient Semi-Structured LLM Sparsification via Annealing of Hessian-Guided Soft-Mask Unresolved cited work

Reference 29

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unresolved
raw_fallback, observed 2026-05-26T13:02:23.255169Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-08T12:46:30.820552Z digest=sha256:57c8756454acc414d631b151941867ade2bd4a4e2d3cbecf3fcb80ccd6aa443b

Observation 1563f537-42a5-4122-9faa-d38ff7afda37 · outbound

This paper cites Winogrande.

SparseForge: Efficient Semi-Structured LLM Sparsification via Annealing of Hessian-Guided Soft-Mask Winogrande

Reference 30

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verified fuzzy
raw_fallback, observed 2026-05-26T13:02:23.269958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-08T12:46:30.820552Z digest=sha256:a513611b3a961f49ce813c1d9881b8b4c894960f7f5c1c55d0fe67444a66893b

Observation 2b9f39c4-3c40-42be-951b-b004d4f2c28a · outbound

This paper cites WoodFisher: Efficient Second-Order Approximation for Neural Network Compression.

SparseForge: Efficient Semi-Structured LLM Sparsification via Annealing of Hessian-Guided Soft-Mask WoodFisher: Efficient Second-Order Approximation for Neural Network Compression

Reference 31

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arxiv_id, observed 2026-05-11T19:06:08.448610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-08T12:46:30.820552Z digest=sha256:b69bd2583ff2b7b34233ff6cd54342c090e2c537ed59264904a37641ab9a3e5f

Observation 6bfd1265-7d65-48f7-bf1b-a87bd2736f82 · outbound

This paper cites A Simple and Effective Pruning Approach for Large Language Models.

SparseForge: Efficient Semi-Structured LLM Sparsification via Annealing of Hessian-Guided Soft-Mask A Simple and Effective Pruning Approach for Large Language Models

Reference 32

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verified exact
arxiv_id, observed 2026-05-16T16:12:41.188220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-08T12:46:30.820552Z digest=sha256:7cfdbbacb022cdcba442782d4404a964b332129a667f1bcf8d58d3dfaccbd0aa

Observation 7153f11b-a6f1-442c-886b-402f9e4629d5 · outbound

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

SparseForge: Efficient Semi-Structured LLM Sparsification via Annealing of Hessian-Guided Soft-Mask Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 33

Resolution
metadata mismatch
local_arxiv, observed 2026-05-11T19:06:08.485824Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-08T12:46:30.820552Z digest=sha256:9811068a0b61c8495e0ef522b0b44648c0d459a3fa69e60a8e369d58af2be9d1

Observation ca705545-1949-4456-8b61-94dc76234524 · outbound

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

SparseForge: Efficient Semi-Structured LLM Sparsification via Annealing of Hessian-Guided Soft-Mask SuperGLUE: A Stickier Benchmark for General-Purpose Language Understanding Systems

Reference 34

Resolution
verified exact
arxiv_id, observed 2026-05-15T01:34:11.049162Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-08T12:46:30.820552Z digest=sha256:b9b13e2b91c5a14804e194c602b30cba0cfd61926df898f207051a5c6b19119a

Observation 01154525-8ba2-42d4-b287-4ace828f95e0 · outbound

This paper cites Learning structured sparsity in deep neural networks.

SparseForge: Efficient Semi-Structured LLM Sparsification via Annealing of Hessian-Guided Soft-Mask Learning structured sparsity in deep neural networks

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T13:02:23.293378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-08T12:46:30.820552Z digest=sha256:d8e5485e745507847960fb2fbe9f3bce2676d158a692318f63d4ea493ba0bf18

Observation 01d5de6a-e819-4385-9e30-4f7df3c69544 · outbound

This paper cites BESA: Pruning Large Language Models with Blockwise Parameter-Efficient Sparsity Allocation.

SparseForge: Efficient Semi-Structured LLM Sparsification via Annealing of Hessian-Guided Soft-Mask BESA: Pruning Large Language Models with Blockwise Parameter-Efficient Sparsity Allocation

Reference 36

Resolution
verified exact
arxiv_id, observed 2026-05-11T19:06:08.426115Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-08T12:46:30.820552Z digest=sha256:cfa25d9913cc20792847434d84249b68a2aa988a8f5f4ae9f5ecfa890811c54a

Observation 309f8e4b-c0e1-4dad-90e6-7d529f34bac9 · outbound

This paper cites Qwen3 technical report.

SparseForge: Efficient Semi-Structured LLM Sparsification via Annealing of Hessian-Guided Soft-Mask Qwen3 technical report

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T13:02:23.304511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-08T12:46:30.820552Z digest=sha256:142c7109052a092adfbba00393e831c1db07866ff1cfdaa60c6e22c75f75450b

Observation 71621750-b6f7-4726-98b4-06102c244475 · outbound

This paper cites Outlier Weighed Layerwise Sparsity (OWL): A Missing Secret Sauce for Pruning LLMs to High Sparsity.

SparseForge: Efficient Semi-Structured LLM Sparsification via Annealing of Hessian-Guided Soft-Mask Outlier Weighed Layerwise Sparsity (OWL): A Missing Secret Sauce for Pruning LLMs to High Sparsity

Reference 38

Resolution
verified exact
arxiv_id, observed 2026-05-11T19:06:08.474183Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-08T12:46:30.820552Z digest=sha256:d7fd0c1a11bb800d6f9889225240d4e0330d947f7b681568f011c93c29f8d60f

Observation 6a3de366-0fd7-4f3a-b9f5-201bf21bd1e5 · outbound

This paper cites Hellaswag: Can a machine really finish your sentence? InAnnual Meeting of the Association for Computational Linguistics.

SparseForge: Efficient Semi-Structured LLM Sparsification via Annealing of Hessian-Guided Soft-Mask Hellaswag: Can a machine really finish your sentence? InAnnual Meeting of the Association for Computational Linguistics

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T13:02:23.258692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-08T12:46:30.820552Z digest=sha256:bfa83a544e5950e15ea406a86dcbd358e47838a30524bb401a1aadcefea060e2

Observation 64ae4e77-4df3-4ba9-a286-28274b42158e · outbound

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

SparseForge: Efficient Semi-Structured LLM Sparsification via Annealing of Hessian-Guided Soft-Mask OPT: Open Pre-trained Transformer Language Models

Reference 40

Resolution
metadata mismatch
local_arxiv, observed 2026-05-11T19:06:08.421037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-08T12:46:30.820552Z digest=sha256:6f79841c644fc54927f241108ae7840faf3111c7d36ca1f0f1bc6d17fe1fe50a

Observation 118e6951-c00c-4a75-8d5d-7c8c10268402 · outbound

This paper cites Efficiency.

SparseForge: Efficient Semi-Structured LLM Sparsification via Annealing of Hessian-Guided Soft-Mask Efficiency

Reference 41

Resolution
malformed identifier
raw_fallback, observed 2026-05-26T13:02:23.250604Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-08T12:46:30.820552Z digest=sha256:186fe8e4c327896b5a4c8056f38e73b10dc1c46cd2526ace4bd5cfa53d159fb2

Pith citing papers

No inbound Pith citation observations are available.