Paper Citation Record · LEDGER

FASP: Fast and Accurate Structured Pruning of Large Language Models

As of 15 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 1 inbound Pith citation observation for arXiv:2501.09412.

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

pith.paper-citation-record.v1
2501.09412 v1

Coverage vector

measured 20 of 20 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T20:07:09.436834Z

measured 21 of 21 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-26T01:07:04.330340Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T15:59:57.080393Z

Reference resolution

20 of 20 outbound references displayed

verified exact1
verified fuzzy1
unresolved18
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4674b11e-13b5-4a61-897e-8e6cae75a579 · outbound

This paper cites SliceGPT: Compress Large Language Models by Deleting Rows and Columns.

FASP: Fast and Accurate Structured Pruning of Large Language Models SliceGPT: Compress Large Language Models by Deleting Rows and Columns

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-10T20:07:09.343243Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0484896d-e7a4-49bd-8e54-82d831d61f5b · outbound

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

FASP: Fast and Accurate Structured Pruning of Large Language Models MaskLLM: Learnable Semi-Structured Sparsity for Large Language Models

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-10T20:07:09.362412Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f033fa26-fc77-46b0-8816-e1931ace5c39 · outbound

This paper cites LLM-Pruner: On the Structural Pruning of Large Language Models.

FASP: Fast and Accurate Structured Pruning of Large Language Models LLM-Pruner: On the Structural Pruning of Large Language Models

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-10T20:07:09.373566Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9e206c00-99b9-49c9-acef-ce8669e1378c · outbound

This paper cites ShortGPT: Layers in Large Language Models are More Redundant Than You Expect.

FASP: Fast and Accurate Structured Pruning of Large Language Models ShortGPT: Layers in Large Language Models are More Redundant Than You Expect

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-10T20:07:09.379506Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9dc20236-84cd-46e9-91fd-f86bee00f003 · outbound

This paper cites Pointer Sentinel Mixture Models.

FASP: Fast and Accurate Structured Pruning of Large Language Models Pointer Sentinel Mixture Models

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-10T20:07:09.385522Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b37e2dec-3c3b-4acc-bb07-884df62ece02 · outbound

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

FASP: Fast and Accurate Structured Pruning of Large Language Models Can a Suit of Armor Conduct Electricity? A New Dataset for Open Book Question Answering

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-10T20:07:09.391147Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3ae39eaf-7d31-4c35-b60e-5de1a9ef0eea · outbound

This paper cites Accelerating Sparse Deep Neural Networks.

FASP: Fast and Accurate Structured Pruning of Large Language Models Accelerating Sparse Deep Neural Networks

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-10T20:07:09.396226Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8a2cf523-ad97-4a1f-bf7d-023174728dd2 · outbound

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

FASP: Fast and Accurate Structured Pruning of Large Language Models A Simple and Effective Pruning Approach for Large Language Models

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-10T20:07:09.405898Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 228b9470-0367-47b3-aa44-3b16b85ea7c9 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

FASP: Fast and Accurate Structured Pruning of Large Language Models LLaMA: Open and Efficient Foundation Language Models

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-10T20:07:09.411003Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0981a691-c66a-4da3-b2fa-1ecb6f7f7121 · outbound

This paper cites HuggingFace's Transformers: State-of-the-art Natural Language Processing.

FASP: Fast and Accurate Structured Pruning of Large Language Models HuggingFace's Transformers: State-of-the-art Natural Language Processing

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-10T20:07:09.415816Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 91302eb9-2f7d-404d-ac95-8f595a08503c · outbound

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

FASP: Fast and Accurate Structured Pruning of Large Language Models HellaSwag: Can a Machine Really Finish Your Sentence?

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-10T20:07:09.421277Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f7ada54a-8917-4f55-a704-811aa4fe3ac4 · outbound

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

FASP: Fast and Accurate Structured Pruning of Large Language Models OPT: Open Pre-trained Transformer Language Models

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-10T20:07:09.426621Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f1bfa88a-5b03-4f3e-8575-503f8e85ee92 · outbound

This paper cites A Convex-optimization-based Layer-wise Post-training Pruner for Large Language Models.

FASP: Fast and Accurate Structured Pruning of Large Language Models A Convex-optimization-based Layer-wise Post-training Pruner for Large Language Models

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-10T20:07:09.436834Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a036a4c6-ce32-4973-ae07-3f5a0f6a67ab · outbound

This paper cites Pruner-Zero: Evolving Symbolic Pruning Metric from scratch for Large Language Models.

FASP: Fast and Accurate Structured Pruning of Large Language Models Pruner-Zero: Evolving Symbolic Pruning Metric from scratch for Large Language Models

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-10T20:07:09.357955Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0bed802f-7ac5-42c7-928e-5f56fefb4613 · outbound

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

FASP: Fast and Accurate Structured Pruning of Large Language Models Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-10T20:07:09.353166Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 87cbbae5-37d1-4101-9c3c-41c52134d42f · outbound

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

FASP: Fast and Accurate Structured Pruning of Large Language Models BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-10T20:07:09.348136Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6fa0925c-ab3f-418b-a09a-3217d202ced5 · outbound

This paper cites Search for Efficient Large Language Models.

FASP: Fast and Accurate Structured Pruning of Large Language Models Search for Efficient Large Language Models

Reference 2021

Resolution: verified exact; local_arxiv, observed 2026-08-10T20:07:09.609071Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 1ba5be1b-1d03-4132-b31d-502003322b6b · outbound

This paper cites FinerCut: Finer-grained Interpretable Layer Pruning for Large Language Models.

FASP: Fast and Accurate Structured Pruning of Large Language Models FinerCut: Finer-grained Interpretable Layer Pruning for Large Language Models

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-10T20:07:09.431662Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b160e619-5e29-4c96-90b1-b14b03f81fd2 · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

FASP: Fast and Accurate Structured Pruning of Large Language Models Gemini: A Family of Highly Capable Multimodal Models

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-10T20:07:09.367895Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5912af44-8d05-49d6-ac82-6c51e1b665df · outbound

This paper cites Md Adnan Arefeen, Biplob Debnath, and Srimat Chakradhar.

FASP: Fast and Accurate Structured Pruning of Large Language Models Md Adnan Arefeen, Biplob Debnath, and Srimat Chakradhar

Reference 2024

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:07:09.801951Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Pith citing papers

Observation 40675128-3d3d-4fa7-9413-563b00bf7ff3 · inbound

Don't Go Breaking My LLM: The Impact of Pruning Attention Layers on Explanation Faithfulness and Confidence Calibration cites this paper.

Don't Go Breaking My LLM: The Impact of Pruning Attention Layers on Explanation Faithfulness and Confidence Calibration FASP: Fast and Accurate Structured Pruning of Large Language Models

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-07-04T15:59:57.081848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.