Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-08T12:46:30.820552Z
Paper Citation Record · LEDGER
SparseForge: Efficient Semi-Structured LLM Sparsification via Annealing of Hessian-Guided Soft-Mask
As of 12 July 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.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-07-12T06:30:05.999651+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
41 of 41 outbound references displayed
- verified exact15
- verified fuzzy21
- unresolved0
- 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
- raw_fallback, observed 2026-05-26T13:02:23.240469Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-12T06:30:05.999651+00:00.
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
- Resolution
- verified exact
- 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 2026-07-12T06:30:05.999651+00:00.
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
- Resolution
- 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 2026-07-12T06:30:05.999651+00:00.
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
- Resolution
- verified fuzzy
- 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 2026-07-12T06:30:05.999651+00:00.
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
- Resolution
- verified exact
- 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 2026-07-12T06:30:05.999651+00:00.
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 2026-07-12T06:30:05.999651+00:00.
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
- Resolution
- verified fuzzy
- 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 2026-07-12T06:30:05.999651+00:00.
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
- Resolution
- verified fuzzy
- 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 2026-07-12T06:30:05.999651+00:00.
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
- Resolution
- verified fuzzy
- 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 2026-07-12T06:30:05.999651+00:00.
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 2026-07-12T06:30:05.999651+00:00.
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 2026-07-12T06:30:05.999651+00:00.
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 2026-07-12T06:30:05.999651+00:00.
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
- Resolution
- verified fuzzy
- 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 2026-07-12T06:30:05.999651+00:00.
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
- verified fuzzy
- 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 2026-07-12T06:30:05.999651+00:00.
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 2026-07-12T06:30:05.999651+00:00.
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
- Resolution
- verified exact
- 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 2026-07-12T06:30:05.999651+00:00.
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
- Resolution
- verified fuzzy
- 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 2026-07-12T06:30:05.999651+00:00.
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
- Resolution
- verified exact
- 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 2026-07-12T06:30:05.999651+00:00.
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 2026-07-12T06:30:05.999651+00:00.
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
- Resolution
- verified fuzzy
- 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 2026-07-12T06:30:05.999651+00:00.
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
- Resolution
- 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 2026-07-12T06:30:05.999651+00:00.
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
- Resolution
- verified fuzzy
- 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 2026-07-12T06:30:05.999651+00:00.
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
- Resolution
- 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 2026-07-12T06:30:05.999651+00:00.
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
- Resolution
- metadata mismatch
- 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 2026-07-12T06:30:05.999651+00:00.
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
- Resolution
- 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 2026-07-12T06:30:05.999651+00:00.
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
- Resolution
- metadata mismatch
- 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 2026-07-12T06:30:05.999651+00:00.
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
- Resolution
- 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 2026-07-12T06:30:05.999651+00:00.
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
- Resolution
- verified fuzzy
- 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 2026-07-12T06:30:05.999651+00:00.
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
- Resolution
- verified fuzzy
- 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 2026-07-12T06:30:05.999651+00:00.
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
- Resolution
- 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 2026-07-12T06:30:05.999651+00:00.
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
- Resolution
- verified exact
- 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 2026-07-12T06:30:05.999651+00:00.
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
- Resolution
- 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 2026-07-12T06:30:05.999651+00:00.
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 2026-07-12T06:30:05.999651+00:00.
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 2026-07-12T06:30:05.999651+00:00.
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 2026-07-12T06:30:05.999651+00:00.
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 2026-07-12T06:30:05.999651+00:00.
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 2026-07-12T06:30:05.999651+00:00.
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 2026-07-12T06:30:05.999651+00:00.
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 2026-07-12T06:30:05.999651+00:00.
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 2026-07-12T06:30:05.999651+00:00.
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 2026-07-12T06:30:05.999651+00:00.
Pith citing papers
No inbound Pith citation observations are available.