Paper Citation Record · LEDGER

Language model compression with weighted low-rank factorization

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 29 inbound Pith citation observations for arXiv:2207.00112.

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

pith.paper-citation-record.v1
2207.00112 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 29 of 29 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 29 of 29 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T19:41:46.573271Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T10:19:47.498950Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
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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 29da7c40-b3e9-4778-81d2-b398182951a7 · inbound

SoftLMs: Efficient Adaptive Low-Rank Approximation of Language Models using Soft-Thresholding Mechanism cites this paper.

SoftLMs: Efficient Adaptive Low-Rank Approximation of Language Models using Soft-Thresholding Mechanism Language model compression with weighted low-rank factorization

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-12T19:41:46.573271Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6909fb1c-f9a8-43b1-9b96-497726c1e759 · inbound

FlexiGPT: Pruning and Extending Large Language Models with Low-Rank Weight Sharing cites this paper.

FlexiGPT: Pruning and Extending Large Language Models with Low-Rank Weight Sharing Language model compression with weighted low-rank factorization

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-10T14:59:48.280607Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d3f84b8a-df3b-43fc-9314-75860f2ef7ee · inbound

You Only Prune Once: Designing Calibration-Free Model Compression With Policy Learning cites this paper.

You Only Prune Once: Designing Calibration-Free Model Compression With Policy Learning Language model compression with weighted low-rank factorization

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-10T14:32:54.009491Z

Source-reported events for the cited work

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Observation 12986e8d-83a8-470f-bd81-c000a674a273 · inbound

Dobi-SVD: Differentiable SVD for LLM Compression and Some New Perspectives cites this paper.

Dobi-SVD: Differentiable SVD for LLM Compression and Some New Perspectives Language model compression with weighted low-rank factorization

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-09T11:28:42.170042Z

Source-reported events for the cited work

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Observation 221387e3-4ca1-441e-b3ea-09862da48a5d · inbound

Probe-Free Low-Rank Activation Intervention cites this paper.

Probe-Free Low-Rank Activation Intervention Language model compression with weighted low-rank factorization

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-08T23:49:46.720117Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 24872e0f-5eed-430f-a35c-01ad60f58d30 · inbound

SHARP: Accelerating Language Model Inference by SHaring Adjacent layers with Recovery Parameters cites this paper.

SHARP: Accelerating Language Model Inference by SHaring Adjacent layers with Recovery Parameters Language model compression with weighted low-rank factorization

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-08T13:44:00.512142Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4e95d24e-4d0a-4e73-99a1-f1f350d54dae · inbound

A3 : an Analytical Low-Rank Approximation Framework for Attention cites this paper.

A3 : an Analytical Low-Rank Approximation Framework for Attention Language model compression with weighted low-rank factorization

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-22T15:04:57.137032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 520d8110-9129-4f9b-affb-c7bd169a1da9 · inbound

ACE: Exploring Activation Cosine Similarity and Variance for Accurate and Calibration-Efficient LLM Pruning cites this paper.

ACE: Exploring Activation Cosine Similarity and Variance for Accurate and Calibration-Efficient LLM Pruning Language model compression with weighted low-rank factorization

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T13:23:35.080757Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a3b8eeaa-d291-47fa-9214-59a1377fb0fb · inbound

SlimLLM: Accurate Structured Pruning for Large Language Models cites this paper.

SlimLLM: Accurate Structured Pruning for Large Language Models Language model compression with weighted low-rank factorization

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-07T13:30:19.451609Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a6441d57-d696-4e5a-8b34-34510d9a74b6 · inbound

ProcrustesGPT: Compressing LLMs with Structured Matrices and Orthogonal Transformations cites this paper.

ProcrustesGPT: Compressing LLMs with Structured Matrices and Orthogonal Transformations Language model compression with weighted low-rank factorization

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T11:20:42.319067Z

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Observation 4e341fb2-7a76-4e91-b483-8103974df16b · inbound

DipSVD: Dual-importance Protected SVD for Efficient LLM Compression cites this paper.

DipSVD: Dual-importance Protected SVD for Efficient LLM Compression Language model compression with weighted low-rank factorization

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T22:58:09.339529Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0a599cdc-a07d-4dad-adfb-c16f25508174 · inbound

On the transferability of Sparse Autoencoders for interpreting compressed models cites this paper.

On the transferability of Sparse Autoencoders for interpreting compressed models Language model compression with weighted low-rank factorization

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T15:24:45.738275Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bb1e7e88-02f2-4590-9ec6-ab79e78161e2 · inbound

FlashSVD: Memory-Efficient Inference with Streaming for Low-Rank Models cites this paper.

FlashSVD: Memory-Efficient Inference with Streaming for Low-Rank Models Language model compression with weighted low-rank factorization

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T05:40:47.501518Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b33362d5-6368-473f-942d-c392235d0e53 · inbound

NeuronMLP: Efficient LLM Inference via Singular Value Decomposition Compression and Tiling on AWS Trainium cites this paper.

NeuronMLP: Efficient LLM Inference via Singular Value Decomposition Compression and Tiling on AWS Trainium Language model compression with weighted low-rank factorization

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-05-18T02:52:21.811734Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 6333a707-fe88-4494-8500-307171bcf3c5 · inbound

SALAAD: Sparse And Low-Rank Adaptation via ADMM for Large Language Model Inference cites this paper.

SALAAD: Sparse And Low-Rank Adaptation via ADMM for Large Language Model Inference Language model compression with weighted low-rank factorization

Reference 2015

Resolution: unresolved; no resolver link, observed 2026-08-03T06:01:14.604443Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7b4dd20a-31f6-431c-8b3f-3f9f570c744f · inbound

WSVD: Weighted Low-Rank Approximation for Fast and Efficient Execution of Low-Precision Vision-Language Models cites this paper.

WSVD: Weighted Low-Rank Approximation for Fast and Efficient Execution of Low-Precision Vision-Language Models Language model compression with weighted low-rank factorization

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-13T21:08:18.057262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation c3b690d2-cef7-4434-a7c0-d45658d061eb · inbound

Compress Then Adapt? No, Do It Together via Task-aware Union of Subspaces cites this paper.

Compress Then Adapt? No, Do It Together via Task-aware Union of Subspaces Language model compression with weighted low-rank factorization

Reference 16

Resolution: metadata mismatch; arxiv_id, observed 2026-05-09T06:45:40.951042Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation b61d72c1-5caf-4a03-b047-1dd2f59a748e · inbound

eOptShrinkQ: Near-Lossless KV Cache Compression Through Optimal Spectral Denoising and Quantization cites this paper.

eOptShrinkQ: Near-Lossless KV Cache Compression Through Optimal Spectral Denoising and Quantization Language model compression with weighted low-rank factorization

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-10T22:00:50.808755Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 9a78fc8d-3cc2-4a59-982a-a90173837b45 · inbound

FlashSVD v1.5: Making Low-Rank Transformers Inference Actually Fast cites this paper.

FlashSVD v1.5: Making Low-Rank Transformers Inference Actually Fast Language model compression with weighted low-rank factorization

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-12T08:31:26.548872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 20bc5027-8c3a-4184-9748-385517ec8bbc · inbound

Different Prompts, Different Ranks: Prompt-aware Dynamic Rank Selection for SVD-based LLM Compression cites this paper.

Different Prompts, Different Ranks: Prompt-aware Dynamic Rank Selection for SVD-based LLM Compression Language model compression with weighted low-rank factorization

Reference 49

Resolution: verified exact; arxiv_id, observed 2026-05-12T07:41:34.232003Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation b35aa454-63fd-492c-a315-010cb8c10e3b · inbound

Where Pretraining writes and Alignment reads: the asymmetry of Transformer weight space cites this paper.

Where Pretraining writes and Alignment reads: the asymmetry of Transformer weight space Language model compression with weighted low-rank factorization

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-20T20:39:00.223911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 6c14d176-af5f-41b1-8d33-31c09eddec5e · inbound

SAFE-SVD: Sensitivity-Aware Fidelity-Enforcing SVD for Physics Foundation Models cites this paper.

SAFE-SVD: Sensitivity-Aware Fidelity-Enforcing SVD for Physics Foundation Models Language model compression with weighted low-rank factorization

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-20T13:03:17.817416Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation f22e08ca-9a45-4d97-86cb-6ff9812185bc · inbound

Fast Tensorization of Neural Networks via Slice-wise Feature Distillation cites this paper.

Fast Tensorization of Neural Networks via Slice-wise Feature Distillation Language model compression with weighted low-rank factorization

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-20T06:53:22.952467Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation a4e9970c-1f03-4fd8-b94a-e96b1edb979e · inbound

DREAM-S: Speculative Decoding with Searchable Drafting and Target-Aware Refinement for Multimodal Generation cites this paper.

DREAM-S: Speculative Decoding with Searchable Drafting and Target-Aware Refinement for Multimodal Generation Language model compression with weighted low-rank factorization

Reference 53

Resolution: verified exact; arxiv_id, observed 2026-06-28T19:02:34.554045Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 061fea46-48a7-442f-8c29-41d69309f54a · inbound

LASER: Loss-Aware Singular-value Decomposition and Rank Allocation for Efficient Low-Precision Vision-Language Models cites this paper.

LASER: Loss-Aware Singular-value Decomposition and Rank Allocation for Efficient Low-Precision Vision-Language Models Language model compression with weighted low-rank factorization

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-06-28T19:12:34.691828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation ffab6335-4646-4a61-b086-1d8612a8784f · inbound

Shortcuts in the Tail: Debiasing via Post-Hoc Spectral Compression of Fine-Tuning Updates cites this paper.

Shortcuts in the Tail: Debiasing via Post-Hoc Spectral Compression of Fine-Tuning Updates Language model compression with weighted low-rank factorization

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-06-28T23:32:47.002913Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 49d8fd08-9c1b-462d-9ee2-e3ec6043a2cc · inbound

Activation- and Influence-Aware Ranks (AIR): Function-Preserving SVD Compression for LLMs cites this paper.

Activation- and Influence-Aware Ranks (AIR): Function-Preserving SVD Compression for LLMs Language model compression with weighted low-rank factorization

Reference 180

Resolution: verified exact; arxiv_id, observed 2026-07-04T03:19:31.526717Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation e8b9302a-e394-47af-8253-6488ef78e220 · inbound

SVD-Surgeon: Optimal Singular-Value Surgery for Large Language Model Compression cites this paper.

SVD-Surgeon: Optimal Singular-Value Surgery for Large Language Model Compression Language model compression with weighted low-rank factorization

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-07-04T10:19:47.500318Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 4aad51bb-3ce1-4c16-9a20-ceba8ed037fe · inbound

Towards Sustainable Artificial Intelligence: A Comprehensive Review and Comparative Analysis of Deep Learning Models' Carbon Footprint cites this paper.

Towards Sustainable Artificial Intelligence: A Comprehensive Review and Comparative Analysis of Deep Learning Models' Carbon Footprint Language model compression with weighted low-rank factorization

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-12T00:52:45.179235Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.