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Paper Citation Record · LEDGER

MaskLLM: Learnable Semi-Structured Sparsity for Large Language Models

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2409.17481.

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

pith.paper-citation-record.v1
2409.17481 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T11:33:14.484741Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T07:06:35.703231Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 1d518cd7-da6e-44af-9ca1-a5f1dd62a5d1 · inbound

Expand Neurons, Not Parameters cites this paper.

Expand Neurons, Not Parameters MaskLLM: Learnable Semi-Structured Sparsity for Large Language Models

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-04T11:33:14.484741Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T11:33:14.484741Z digest=sha256:c3ecb6a36093fcdd7f40ca50575f795545cc12f82135e3aa4db3d0aa7edee29b

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

SparseForge: Efficient Semi-Structured LLM Sparsification via Annealing of Hessian-Guided Soft-Mask cites this paper.

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 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-08T12:46:30.820552Z digest=sha256:0b2cf4b3aa59626d33b9d6bdd1d8b1cd587e35c06f056e650f02f55cb565de4e

Observation 59d974bf-9fd7-4ba9-8778-7713a9bf597e · inbound

31.1 A 14.08-to-135.69Token/s ReRAM-on-Logic Stacked Outlier-Free Large-Language-Model Accelerator with Block-Clustered Weight-Compression and Adaptive Parallel-Speculative-Decoding cites this paper.

31.1 A 14.08-to-135.69Token/s ReRAM-on-Logic Stacked Outlier-Free Large-Language-Model Accelerator with Block-Clustered Weight-Compression and Adaptive Parallel-Speculative-Decoding MaskLLM: Learnable Semi-Structured Sparsity for Large Language Models

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-05-12T07:06:35.708278Z

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=2026-05-12T03:44:09.156934Z digest=sha256:dda99b118568226795a755c6cc90243b4913c6609302b249aaa4fdca8f6fe55c