Paper Citation Record · LEDGER

Pivoting Factorization: A Compact Meta Low-Rank Representation of Sparsity for Efficient Inference in Large Language Models

As of 17 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 2 inbound Pith citation observations for arXiv:2501.19090.

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

pith.paper-citation-record.v1
2501.19090 v3

Coverage vector

measured 47 of 47 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T21:31:36.314665Z

measured 49 of 49 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T04:38:43.574201Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-14T04:38:46.369213Z

Reference resolution

47 of 47 outbound references displayed

verified exact1
verified fuzzy15
unresolved31
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e4848237-806d-4074-8f1d-8e029f5dc6e6 · outbound

This paper cites URL https://www.nvidia.com/content/dam/en-zz/Solutions/Data-Center/nvidia-ampere-architecture-whitepaper.pdf.

Pivoting Factorization: A Compact Meta Low-Rank Representation of Sparsity for Efficient Inference in Large Language Models URL https://www.nvidia.com/content/dam/en-zz/Solutions/Data-Center/nvidia-ampere-architecture-whitepaper.pdf

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T21:31:37.151684Z

Source-reported events for the cited work

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Observation 5f53974b-42b5-4c3e-87c5-382631f4d5fc · outbound

This paper cites L., do Nascimento, M.

Pivoting Factorization: A Compact Meta Low-Rank Representation of Sparsity for Efficient Inference in Large Language Models L., do Nascimento, M

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-09T21:31:36.087664Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6d6ed2b4-c2dd-4942-8571-f25250179103 · outbound

This paper cites and Golub, G.

Pivoting Factorization: A Compact Meta Low-Rank Representation of Sparsity for Efficient Inference in Large Language Models and Golub, G

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T21:31:37.127067Z

Source-reported events for the cited work

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Observation 6949f443-542d-4423-b5cf-6b106d9e6ed2 · outbound

This paper cites Beyond Size: How Gradients Shape Pruning Decisions in Large Language Models.

Pivoting Factorization: A Compact Meta Low-Rank Representation of Sparsity for Efficient Inference in Large Language Models Beyond Size: How Gradients Shape Pruning Decisions in Large Language Models

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-09T21:31:36.098119Z

Source-reported events for the cited work

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Observation 17896099-be58-48fb-9f6e-2953119a7634 · outbound

This paper cites Pruner-zero: Evolving symbolic pruning metric from scratch for large language models.

Pivoting Factorization: A Compact Meta Low-Rank Representation of Sparsity for Efficient Inference in Large Language Models Pruner-zero: Evolving symbolic pruning metric from scratch for large language models

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T21:31:37.111835Z

Source-reported events for the cited work

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Observation ca7173d3-b69c-4c7d-ae14-6a97490fc23a · outbound

This paper cites The Llama 3 Herd of Models.

Pivoting Factorization: A Compact Meta Low-Rank Representation of Sparsity for Efficient Inference in Large Language Models The Llama 3 Herd of Models

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-09T21:31:36.110112Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 27b55f0c-88bb-4b1c-81a9-a9451fa5c58e · outbound

This paper cites Mask LLM : Learnable semi-structured sparsity for large language models.

Pivoting Factorization: A Compact Meta Low-Rank Representation of Sparsity for Efficient Inference in Large Language Models Mask LLM : Learnable semi-structured sparsity for large language models

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T21:31:37.096211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b3a08527-0fe7-4e02-8c5f-2e85f6c9c172 · outbound

This paper cites and Alistarh, D.

Pivoting Factorization: A Compact Meta Low-Rank Representation of Sparsity for Efficient Inference in Large Language Models and Alistarh, D

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-09T21:31:36.120907Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b3faf3f0-007f-4545-9e85-6002ed56a5fc · outbound

This paper cites A framework for few-shot language model evaluation, 12 2023.

Pivoting Factorization: A Compact Meta Low-Rank Representation of Sparsity for Efficient Inference in Large Language Models A framework for few-shot language model evaluation, 12 2023

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-09T21:31:36.125797Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cd108b60-83a6-4947-87be-bffbd7ec3dac · outbound

This paper cites Disp-llm: Dimension-independent structural pruning for large language models.

Pivoting Factorization: A Compact Meta Low-Rank Representation of Sparsity for Efficient Inference in Large Language Models Disp-llm: Dimension-independent structural pruning for large language models

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T21:31:37.071217Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 5b38f141-f285-418f-a966-6f074102352c · outbound

This paper cites G., and Wolff, G.

Pivoting Factorization: A Compact Meta Low-Rank Representation of Sparsity for Efficient Inference in Large Language Models G., and Wolff, G

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T21:31:37.054864Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation fe9858e1-adec-4211-8e16-88bb2f48554b · outbound

This paper cites Language model compression with weighted low-rank factorization.

Pivoting Factorization: A Compact Meta Low-Rank Representation of Sparsity for Efficient Inference in Large Language Models Language model compression with weighted low-rank factorization

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-09T21:31:36.140509Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4cbe86d9-0b29-495b-aac8-e374e3dd741b · outbound

This paper cites From Low Rank Gradient Subspace Stabilization to Low-Rank Weights: Observations, Theories, and Applications.

Pivoting Factorization: A Compact Meta Low-Rank Representation of Sparsity for Efficient Inference in Large Language Models From Low Rank Gradient Subspace Stabilization to Low-Rank Weights: Observations, Theories, and Applications

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-09T21:31:36.145236Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3713a045-c1e5-4660-8a67-f72d086b1cc7 · outbound

This paper cites LORD: Low Rank Decomposition Of Monolingual Code LLMs For One-Shot Compression.

Pivoting Factorization: A Compact Meta Low-Rank Representation of Sparsity for Efficient Inference in Large Language Models LORD: Low Rank Decomposition Of Monolingual Code LLMs For One-Shot Compression

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-09T21:31:36.150249Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0f16a9fa-c651-46b8-8123-13757b423103 · outbound

This paper cites Optimal brain damage, advances in neural information processing systems.

Pivoting Factorization: A Compact Meta Low-Rank Representation of Sparsity for Efficient Inference in Large Language Models Optimal brain damage, advances in neural information processing systems

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T21:31:37.027943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation fbd2ba6a-479f-4095-b7a7-cf042ce5eb75 · outbound

This paper cites Enhancing One-shot Pruned Pre-trained Language Models through Sparse-Dense-Sparse Mechanism.

Pivoting Factorization: A Compact Meta Low-Rank Representation of Sparsity for Efficient Inference in Large Language Models Enhancing One-shot Pruned Pre-trained Language Models through Sparse-Dense-Sparse Mechanism

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-08-09T21:31:36.544721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1c687e0b-f6cc-4db9-8edf-d3db74b9303d · outbound

This paper cites MoDeGPT: Modular Decomposition for Large Language Model Compression.

Pivoting Factorization: A Compact Meta Low-Rank Representation of Sparsity for Efficient Inference in Large Language Models MoDeGPT: Modular Decomposition for Large Language Model Compression

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-09T21:31:36.165670Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e56ae80e-bff1-4ad7-8e15-f25de16911ae · outbound

This paper cites W., and Yang, Y.

Pivoting Factorization: A Compact Meta Low-Rank Representation of Sparsity for Efficient Inference in Large Language Models W., and Yang, Y

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T21:31:37.012124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a863cb39-ff26-408d-8098-5e42facfdab0 · outbound

This paper cites Llm-pruner: On the structural pruning of large language models.

Pivoting Factorization: A Compact Meta Low-Rank Representation of Sparsity for Efficient Inference in Large Language Models Llm-pruner: On the structural pruning of large language models

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T21:31:36.997166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f2214274-4e3b-4eb7-a56c-41b98a3dc989 · outbound

This paper cites Language Models are Few-Shot Learners.

Pivoting Factorization: A Compact Meta Low-Rank Representation of Sparsity for Efficient Inference in Large Language Models Language Models are Few-Shot Learners

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-09T21:31:36.180622Z

Source-reported events for the cited work

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Observation cc0f972f-bc3d-456f-8eea-7c793495f5e1 · outbound

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

Pivoting Factorization: A Compact Meta Low-Rank Representation of Sparsity for Efficient Inference in Large Language Models ShortGPT: Layers in Large Language Models are More Redundant Than You Expect

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-09T21:31:36.185593Z

Source-reported events for the cited work

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Observation 37db8eef-4460-4dea-9658-bf8d49b8221e · outbound

This paper cites Pointer sentinel mixture models.

Pivoting Factorization: A Compact Meta Low-Rank Representation of Sparsity for Efficient Inference in Large Language Models Pointer sentinel mixture models

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-09T21:31:36.191399Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 72eab868-ded5-4a99-af8f-ba4d38b9a97e · outbound

This paper cites Accelerating Sparse Deep Neural Networks.

Pivoting Factorization: A Compact Meta Low-Rank Representation of Sparsity for Efficient Inference in Large Language Models Accelerating Sparse Deep Neural Networks

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-09T21:31:36.196079Z

Source-reported events for the cited work

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Observation 8e510d20-16fb-41a7-aca3-361072dab379 · outbound

This paper cites C., Mocanu, E., Stone, P., Nguyen, P.

Pivoting Factorization: A Compact Meta Low-Rank Representation of Sparsity for Efficient Inference in Large Language Models C., Mocanu, E., Stone, P., Nguyen, P

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-09T21:31:36.201089Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 61bfff8c-5cbd-4657-bf31-85aebd8d1283 · outbound

This paper cites Dobi-svd: Differentiable svd for llm compression and some new perspectives.

Pivoting Factorization: A Compact Meta Low-Rank Representation of Sparsity for Efficient Inference in Large Language Models Dobi-svd: Differentiable svd for llm compression and some new perspectives

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T21:31:36.963690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 3ec9aa3e-05f9-41a9-8d6e-a5dfd2f45591 · outbound

This paper cites Improving language understanding by generative pre-training.

Pivoting Factorization: A Compact Meta Low-Rank Representation of Sparsity for Efficient Inference in Large Language Models Improving language understanding by generative pre-training

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-09T21:31:36.210733Z

Source-reported events for the cited work

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Observation 2b457680-39ee-4f8e-92c0-96175874730f · outbound

This paper cites Language models are unsupervised multitask learners.

Pivoting Factorization: A Compact Meta Low-Rank Representation of Sparsity for Efficient Inference in Large Language Models Language models are unsupervised multitask learners

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-09T21:31:36.216183Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ef7d5ff2-ec60-4d16-a14d-9ab5b3e0f031 · outbound

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Pivoting Factorization: A Compact Meta Low-Rank Representation of Sparsity for Efficient Inference in Large Language Models Unresolved cited work

Reference 28

Resolution: unresolved; raw_fallback, observed 2026-08-09T21:31:36.929315Z

Source-reported events for the cited work

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Observation a1ddcf52-c41b-4df2-99a9-11d60a2a0df2 · outbound

This paper cites Compressing large language models using low rank and low precision decomposition.

Pivoting Factorization: A Compact Meta Low-Rank Representation of Sparsity for Efficient Inference in Large Language Models Compressing large language models using low rank and low precision decomposition

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-09T21:31:36.225858Z

Source-reported events for the cited work

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Observation 99b0df39-923e-4c01-80aa-afa92dbd32ff · outbound

This paper cites and Khailany, B.

Pivoting Factorization: A Compact Meta Low-Rank Representation of Sparsity for Efficient Inference in Large Language Models and Khailany, B

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T21:31:36.903653Z

Source-reported events for the cited work

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Observation 88c84fb1-8e3e-449e-b1cb-e6672d3ee367 · outbound

This paper cites The Truth is in There: Improving Reasoning in Language Models with Layer-Selective Rank Reduction.

Pivoting Factorization: A Compact Meta Low-Rank Representation of Sparsity for Efficient Inference in Large Language Models The Truth is in There: Improving Reasoning in Language Models with Layer-Selective Rank Reduction

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-09T21:31:36.235620Z

Source-reported events for the cited work

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Observation ab2be93b-128f-468c-a751-fc99e8dd5c96 · outbound

This paper cites Sleb: streamlining llms through redundancy verification and elimination of transformer blocks.

Pivoting Factorization: A Compact Meta Low-Rank Representation of Sparsity for Efficient Inference in Large Language Models Sleb: streamlining llms through redundancy verification and elimination of transformer blocks

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T21:31:36.887563Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a56ea408-e8bb-42f5-97fa-43534bed8e5d · outbound

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Pivoting Factorization: A Compact Meta Low-Rank Representation of Sparsity for Efficient Inference in Large Language Models Unresolved cited work

Reference 33

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Observation 84ec4122-2bfe-403e-bd79-a6a7a0d5fba8 · outbound

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Pivoting Factorization: A Compact Meta Low-Rank Representation of Sparsity for Efficient Inference in Large Language Models LLaMA: Open and Efficient Foundation Language Models

Reference 34

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Observation 7c36c06d-921a-4ffd-8b67-64388ae0addf · outbound

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

Pivoting Factorization: A Compact Meta Low-Rank Representation of Sparsity for Efficient Inference in Large Language Models Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-09T21:31:36.255536Z

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Observation 8b87c97e-eb81-4e9f-aaeb-0f1324b5d3c6 · outbound

This paper cites an unresolved cited work.

Pivoting Factorization: A Compact Meta Low-Rank Representation of Sparsity for Efficient Inference in Large Language Models Unresolved cited work

Reference 36

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Source-reported events for the cited work

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Observation aace18d2-f7df-4958-aab2-d7478aaebc42 · outbound

This paper cites Efficient Large Language Models: A Survey.

Pivoting Factorization: A Compact Meta Low-Rank Representation of Sparsity for Efficient Inference in Large Language Models Efficient Large Language Models: A Survey

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-09T21:31:36.265172Z

Source-reported events for the cited work

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Observation 869380b8-aea1-4a08-a31e-f0349f26ca2b · outbound

This paper cites Superglue: A stickier benchmark for general-purpose language understanding systems.

Pivoting Factorization: A Compact Meta Low-Rank Representation of Sparsity for Efficient Inference in Large Language Models Superglue: A stickier benchmark for general-purpose language understanding systems

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T21:31:36.852633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 27c2739e-a650-4553-8fc6-a3035abd9333 · outbound

This paper cites SVD-LLM: Truncation-aware Singular Value Decomposition for Large Language Model Compression.

Pivoting Factorization: A Compact Meta Low-Rank Representation of Sparsity for Efficient Inference in Large Language Models SVD-LLM: Truncation-aware Singular Value Decomposition for Large Language Model Compression

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-09T21:31:36.274586Z

Source-reported events for the cited work

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Observation 5311baae-38fd-4dac-8aa6-7cf4d3da9c8d · outbound

This paper cites Good subnetworks provably exist: Pruning via greedy forward selection.

Pivoting Factorization: A Compact Meta Low-Rank Representation of Sparsity for Efficient Inference in Large Language Models Good subnetworks provably exist: Pruning via greedy forward selection

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T21:31:36.836253Z

Source-reported events for the cited work

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Observation 05ba53d6-5a43-4ce7-9cec-3cafa5d3360c · outbound

This paper cites K., Pechenizkiy, M., Liang, Y., et al.

Pivoting Factorization: A Compact Meta Low-Rank Representation of Sparsity for Efficient Inference in Large Language Models K., Pechenizkiy, M., Liang, Y., et al

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T21:31:36.820567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 29897305-d38d-4d8e-b069-a3bca240c2c5 · outbound

This paper cites ASVD: Activation-aware Singular Value Decomposition for Compressing Large Language Models.

Pivoting Factorization: A Compact Meta Low-Rank Representation of Sparsity for Efficient Inference in Large Language Models ASVD: Activation-aware Singular Value Decomposition for Compressing Large Language Models

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-09T21:31:36.288920Z

Source-reported events for the cited work

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Observation 42e23edb-2199-44c2-847d-59e333cbbebb · outbound

This paper cites an unresolved cited work.

Pivoting Factorization: A Compact Meta Low-Rank Representation of Sparsity for Efficient Inference in Large Language Models Unresolved cited work

Reference 43

Resolution: unresolved; raw_fallback, observed 2026-08-09T21:31:36.803419Z

Source-reported events for the cited work

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Observation bcaffdae-733e-481d-a786-09b38cdee119 · outbound

This paper cites To prune, or not to prune: exploring the efficacy of pruning for model compression.

Pivoting Factorization: A Compact Meta Low-Rank Representation of Sparsity for Efficient Inference in Large Language Models To prune, or not to prune: exploring the efficacy of pruning for model compression

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-09T21:31:36.299260Z

Source-reported events for the cited work

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Observation 56c7405d-5a29-4a4c-93fc-ff5af877dbb5 · outbound

This paper cites A survey on model compression for large language models.

Pivoting Factorization: A Compact Meta Low-Rank Representation of Sparsity for Efficient Inference in Large Language Models A survey on model compression for large language models

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-09T21:31:36.304529Z

Source-reported events for the cited work

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Observation 7201c720-63f7-41cc-ad86-e3b0cd1af598 · outbound

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Pivoting Factorization: A Compact Meta Low-Rank Representation of Sparsity for Efficient Inference in Large Language Models Discrimination-aware channel pruning for deep neural networks

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-09T21:31:36.310126Z

Source-reported events for the cited work

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Observation 267a814a-ca6f-4284-aece-018a7fad473f · outbound

This paper cites write newline.

Pivoting Factorization: A Compact Meta Low-Rank Representation of Sparsity for Efficient Inference in Large Language Models write newline

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-09T21:31:36.314665Z

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Unavailable: canonical work link unavailable.

Pith citing papers

Observation 0f894493-e622-4418-a1e9-097317145de2 · inbound

Accelerating Attention with Basis Decomposition cites this paper.

Accelerating Attention with Basis Decomposition Pivoting Factorization: A Compact Meta Low-Rank Representation of Sparsity for Efficient Inference in Large Language Models

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-04T12:54:35.977946Z

Source-reported events for the cited work

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Observation b7ff421f-9433-4a1e-9a84-84ec82db55f1 · inbound

Understanding Calibration and Truncation Error Propagation in Training-Free Low-Rank Compression for LLMs cites this paper.

Understanding Calibration and Truncation Error Propagation in Training-Free Low-Rank Compression for LLMs Pivoting Factorization: A Compact Meta Low-Rank Representation of Sparsity for Efficient Inference in Large Language Models

Reference 86

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.