Paper Citation Record · LEDGER

SVD-LLM: Truncation-aware Singular Value Decomposition for Large Language Model Compression

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 45 inbound Pith citation observations for arXiv:2403.07378.

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

pith.paper-citation-record.v1
2403.07378 v5

Coverage vector

measured 0 of 0 reference resolution

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Source: paper_references, paper_reference_links

measured 45 of 45 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 45 of 45 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T21:31:36.274586Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T03:19:31.562858Z

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Outbound references

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Pith citing papers

Observation d80d77a5-31de-414d-a115-67f2644e30fc · inbound

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

ASVD: Activation-aware Singular Value Decomposition for Compressing Large Language Models SVD-LLM: Truncation-aware Singular Value Decomposition for Large Language Model Compression

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-20T13:49:33.883372Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 02c76ba8-868a-4dba-80db-639093b7b8b4 · inbound

A Survey on Efficient Inference for Large Language Models cites this paper.

A Survey on Efficient Inference for Large Language Models SVD-LLM: Truncation-aware Singular Value Decomposition for Large Language Model Compression

Reference 229

Resolution: verified exact; arxiv_id, observed 2026-05-15T02:39:33.314091Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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

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

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

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Observation d9efbab2-b86e-443c-bd56-e23eda345613 · inbound

LoR-VP: Low-Rank Visual Prompting for Efficient Vision Model Adaptation cites this paper.

LoR-VP: Low-Rank Visual Prompting for Efficient Vision Model Adaptation SVD-LLM: Truncation-aware Singular Value Decomposition for Large Language Model Compression

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-09T17:23:26.312297Z

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Observation 4d395912-3d91-429c-89e0-8e7b8e6dc102 · 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 SVD-LLM: Truncation-aware Singular Value Decomposition for Large Language Model Compression

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-09T11:28:42.509299Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 38879018-8b76-4517-8e84-41a142a399dd · inbound

RoSTE: An Efficient Quantization-Aware Supervised Fine-Tuning Approach for Large Language Models cites this paper.

RoSTE: An Efficient Quantization-Aware Supervised Fine-Tuning Approach for Large Language Models SVD-LLM: Truncation-aware Singular Value Decomposition for Large Language Model Compression

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-07T23:03:44.682214Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fdf7bb72-4faa-4705-af09-8fb17aee320c · inbound

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

A3 : an Analytical Low-Rank Approximation Framework for Attention SVD-LLM: Truncation-aware Singular Value Decomposition for Large Language Model Compression

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-22T15:04:57.165066Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 603ecd6f-dbb6-4f96-bcc4-d59ffd567631 · inbound

LatentLLM: Attention-Aware Joint Tensor Compression cites this paper.

LatentLLM: Attention-Aware Joint Tensor Compression SVD-LLM: Truncation-aware Singular Value Decomposition for Large Language Model Compression

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-07T14:36:28.168443Z

Source-reported events for the cited work

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Observation a71610c8-ddd5-4ca4-97b8-d56752f27135 · inbound

Multi-objective Large Language Model Alignment with Hierarchical Experts cites this paper.

Multi-objective Large Language Model Alignment with Hierarchical Experts SVD-LLM: Truncation-aware Singular Value Decomposition for Large Language Model Compression

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-07T13:52:13.523455Z

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Observation 46b6a569-7155-4d36-9e62-c123388e4c4d · inbound

TuneComp: Joint Fine-tuning and Compression for Large Foundation Models cites this paper.

TuneComp: Joint Fine-tuning and Compression for Large Foundation Models SVD-LLM: Truncation-aware Singular Value Decomposition for Large Language Model Compression

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-07T13:27:10.525787Z

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Observation 3c936bf9-8629-4769-9bad-a0bf75ec2f29 · inbound

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

ProcrustesGPT: Compressing LLMs with Structured Matrices and Orthogonal Transformations SVD-LLM: Truncation-aware Singular Value Decomposition for Large Language Model Compression

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T11:20:43.959675Z

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Observation 425cc9a5-9881-41dc-83e2-a397465c72f0 · inbound

Lag-Relative Sparse Attention In Long Context Training cites this paper.

Lag-Relative Sparse Attention In Long Context Training SVD-LLM: Truncation-aware Singular Value Decomposition for Large Language Model Compression

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-07T04:10:49.095108Z

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Observation d28d8526-f21d-4b60-a80e-fd3fbbe226a0 · inbound

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

DipSVD: Dual-importance Protected SVD for Efficient LLM Compression SVD-LLM: Truncation-aware Singular Value Decomposition for Large Language Model Compression

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-06T22:58:09.427875Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f9d01e2e-d6f0-440a-9805-27ff984b3b5c · inbound

Sub-MoE: Efficient Mixture-of-Expert LLMs Compression via Subspace Expert Merging cites this paper.

Sub-MoE: Efficient Mixture-of-Expert LLMs Compression via Subspace Expert Merging SVD-LLM: Truncation-aware Singular Value Decomposition for Large Language Model Compression

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-06T21:52:09.016078Z

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Unavailable: canonical work link unavailable.

Observation 76f4d2c8-cbb9-41b7-8317-4905b7b5f3ef · inbound

MGAA: Multi-Granular Adaptive Allocation fof Low-Rank Compression of LLMs cites this paper.

MGAA: Multi-Granular Adaptive Allocation fof Low-Rank Compression of LLMs SVD-LLM: Truncation-aware Singular Value Decomposition for Large Language Model Compression

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T20:21:03.896534Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a4ea2366-d946-44eb-a072-c469bfc42b59 · inbound

On Information Geometry and Iterative Optimization in Model Compression: Operator Factorization cites this paper.

On Information Geometry and Iterative Optimization in Model Compression: Operator Factorization SVD-LLM: Truncation-aware Singular Value Decomposition for Large Language Model Compression

Reference 90

Resolution: unresolved; no resolver link, observed 2026-08-06T18:07:19.318002Z

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Unavailable: canonical work link unavailable.

Observation e9a7622b-e1e6-48bd-87af-b33efc4df0f4 · inbound

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

FlashSVD: Memory-Efficient Inference with Streaming for Low-Rank Models SVD-LLM: Truncation-aware Singular Value Decomposition for Large Language Model Compression

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-06T05:40:48.880739Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cbb13c88-edb6-46cd-8234-35033c4a9936 · inbound

Not All Errors Are Created Equal: ASCoT Addresses Late-Stage Fragility in Efficient LLM Reasoning cites this paper.

Not All Errors Are Created Equal: ASCoT Addresses Late-Stage Fragility in Efficient LLM Reasoning SVD-LLM: Truncation-aware Singular Value Decomposition for Large Language Model Compression

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-05T23:32:55.137735Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2783caee-7c40-41e8-85d2-2e4abf28523d · inbound

PHLoRA: data-free Post-hoc Low-Rank Adapter extraction from full-rank checkpoint cites this paper.

PHLoRA: data-free Post-hoc Low-Rank Adapter extraction from full-rank checkpoint SVD-LLM: Truncation-aware Singular Value Decomposition for Large Language Model Compression

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-04T17:22:08.987825Z

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Unavailable: canonical work link unavailable.

Observation ac15a219-9d00-47de-bc0b-5714605e54c0 · inbound

PanoLora: Bridging Perspective and Panoramic Video Generation with LoRA Adaptation cites this paper.

PanoLora: Bridging Perspective and Panoramic Video Generation with LoRA Adaptation SVD-LLM: Truncation-aware Singular Value Decomposition for Large Language Model Compression

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-04T17:10:00.766899Z

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Observation d362884c-1a04-4ac8-93cd-c40cc7ca3094 · inbound

Accelerating Attention with Basis Decomposition cites this paper.

Accelerating Attention with Basis Decomposition SVD-LLM: Truncation-aware Singular Value Decomposition for Large Language Model Compression

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-04T12:54:35.258159Z

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Observation b7f2ea23-d96e-423f-8e5d-98f8cb8bc2eb · inbound

Activation-Informed Pareto-Guided Low-Rank Compression for Efficient LLM/VLM cites this paper.

Activation-Informed Pareto-Guided Low-Rank Compression for Efficient LLM/VLM SVD-LLM: Truncation-aware Singular Value Decomposition for Large Language Model Compression

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-04T11:24:22.318841Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e566924f-09bc-43da-935a-7e12356344d0 · inbound

Spectral Compact Training: Pre-Training Large Language Models via Permanent Truncated SVD and Stiefel QR Retraction cites this paper.

Spectral Compact Training: Pre-Training Large Language Models via Permanent Truncated SVD and Stiefel QR Retraction SVD-LLM: Truncation-aware Singular Value Decomposition for Large Language Model Compression

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-13T22:58:24.113741Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a3427884-8be7-4731-858f-9f2934042fdd · inbound

ScatterPrism: convergence for generative simulation and inverse problems in particle and nuclear physics cites this paper.

ScatterPrism: convergence for generative simulation and inverse problems in particle and nuclear physics SVD-LLM: Truncation-aware Singular Value Decomposition for Large Language Model Compression

Reference 78

Resolution: unresolved; no resolver link, observed 2026-07-13T14:28:05.261852Z

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Observation b5aef69f-b490-4e07-bc74-782011519ea6 · inbound

ScatterPrism: convergence for generative simulation and inverse problems in particle and nuclear physics cites this paper.

ScatterPrism: convergence for generative simulation and inverse problems in particle and nuclear physics SVD-LLM: Truncation-aware Singular Value Decomposition for Large Language Model Compression

Reference 78

Resolution: unresolved; no resolver link, observed 2026-07-15T11:44:19.622453Z

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Observation f15eaf13-cfa2-4fdb-bf1a-c4d9a6e077f2 · inbound

ENEC: A Lossless AI Model Compression Method Enabling Fast Inference on Ascend NPUs cites this paper.

ENEC: A Lossless AI Model Compression Method Enabling Fast Inference on Ascend NPUs SVD-LLM: Truncation-aware Singular Value Decomposition for Large Language Model Compression

Reference 52

Resolution: verified exact; arxiv_id, observed 2026-05-14T21:58:03.111139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 57ba4f0c-557e-4e8c-ba3f-57dad5415f64 · inbound

RUQuant: Towards Refining Uniform Quantization for Large Language Models cites this paper.

RUQuant: Towards Refining Uniform Quantization for Large Language Models SVD-LLM: Truncation-aware Singular Value Decomposition for Large Language Model Compression

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-05-13T17:38:02.581010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7390047b-36bf-4059-b948-bcd0d8684079 · inbound

SLaB: Sparse-Lowrank-Binary Decomposition for Efficient Large Language Models cites this paper.

SLaB: Sparse-Lowrank-Binary Decomposition for Efficient Large Language Models SVD-LLM: Truncation-aware Singular Value Decomposition for Large Language Model Compression

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-11T00:00:57.454047Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 924077a1-a47a-4afc-86eb-8deeae27f178 · inbound

Technical Report: Activation Residual Hessian Quantization (ARHQ) for Low-Bit LLM Quantization cites this paper.

Technical Report: Activation Residual Hessian Quantization (ARHQ) for Low-Bit LLM Quantization SVD-LLM: Truncation-aware Singular Value Decomposition for Large Language Model Compression

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-11T15:31:06.110103Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 0307d93b-80ff-4d76-94f5-ec59469d79a6 · inbound

Gated Subspace Inference for Transformer Acceleration cites this paper.

Gated Subspace Inference for Transformer Acceleration SVD-LLM: Truncation-aware Singular Value Decomposition for Large Language Model Compression

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-05-12T10:41:31.912389Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 374e4509-369e-4801-802e-e6f8e0d55149 · inbound

Bayesian Fine-tuning in Projected Subspaces cites this paper.

Bayesian Fine-tuning in Projected Subspaces SVD-LLM: Truncation-aware Singular Value Decomposition for Large Language Model Compression

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-11T04:00:56.224908Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation cd418ca3-a18b-4f75-a160-bca123859734 · 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 SVD-LLM: Truncation-aware Singular Value Decomposition for Large Language Model Compression

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-05-12T07:41:33.702185Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 07ddcaef-ecca-4c47-9fd5-48ffbead2726 · inbound

OSCAR: Offline Spectral Covariance-Aware Rotation for 2-bit KV Cache Quantization cites this paper.

OSCAR: Offline Spectral Covariance-Aware Rotation for 2-bit KV Cache Quantization SVD-LLM: Truncation-aware Singular Value Decomposition for Large Language Model Compression

Reference 55

Resolution: verified exact; arxiv_id, observed 2026-05-20T12:18:16.479498Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 1da4aa86-d241-4838-a80e-f667a8aeedf4 · 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 SVD-LLM: Truncation-aware Singular Value Decomposition for Large Language Model Compression

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-05-20T13:03:17.858741Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ee3aa47c-55c3-4a00-8837-eeedf81114c5 · inbound

Dynamic Model Merging Made Slim cites this paper.

Dynamic Model Merging Made Slim SVD-LLM: Truncation-aware Singular Value Decomposition for Large Language Model Compression

Reference 82

Resolution: verified exact; arxiv_id, observed 2026-05-20T15:18:25.352587Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b78e8444-ed5b-4723-b033-28af686ae093 · inbound

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

Fast Tensorization of Neural Networks via Slice-wise Feature Distillation SVD-LLM: Truncation-aware Singular Value Decomposition for Large Language Model Compression

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-05-20T06:53:22.938186Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 4b1ace13-9036-4784-b6cf-82a653365ac8 · inbound

Cross-Layer Subspace Coupling for LLM Compression: A Unifying Framework and Its Empirical Limits cites this paper.

Cross-Layer Subspace Coupling for LLM Compression: A Unifying Framework and Its Empirical Limits SVD-LLM: Truncation-aware Singular Value Decomposition for Large Language Model Compression

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-06-28T23:42:49.663178Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 8384e62c-ecdf-45f3-ab2f-c433d527bbc6 · 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 SVD-LLM: Truncation-aware Singular Value Decomposition for Large Language Model Compression

Reference 55

Resolution: verified exact; arxiv_id, observed 2026-06-28T19:02:34.656130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation c5bcdfc0-214a-45d8-b9d2-762cc92422c7 · 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 SVD-LLM: Truncation-aware Singular Value Decomposition for Large Language Model Compression

Reference 50

Resolution: verified exact; arxiv_id, observed 2026-06-28T19:12:34.694425Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7dfc33ef-791d-4b9a-b53f-d82b22ccaa4b · inbound

Rethinking the Role of Tensor Decompositions in Post-Training LLM Compression cites this paper.

Rethinking the Role of Tensor Decompositions in Post-Training LLM Compression SVD-LLM: Truncation-aware Singular Value Decomposition for Large Language Model Compression

Reference 45

Resolution: verified exact; arxiv_id, observed 2026-07-02T01:46:26.876797Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7494c73c-7af1-4d4b-aeed-7756df2069d7 · inbound

SigmaScale: LLM Compression with SVD-based Low-Rank Decomposition and Learned Scaling Matrices cites this paper.

SigmaScale: LLM Compression with SVD-based Low-Rank Decomposition and Learned Scaling Matrices SVD-LLM: Truncation-aware Singular Value Decomposition for Large Language Model Compression

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-07-02T17:27:14.811163Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 1d2cbcff-3302-4991-901b-2baa81d54828 · inbound

EinSort: Sorting is All We Need for Tensorizing LLM cites this paper.

EinSort: Sorting is All We Need for Tensorizing LLM SVD-LLM: Truncation-aware Singular Value Decomposition for Large Language Model Compression

Reference 84

Resolution: verified exact; arxiv_id, observed 2026-07-02T22:57:26.723076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 8e0d0922-ef57-4a25-9db2-0b749a17b65b · 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 SVD-LLM: Truncation-aware Singular Value Decomposition for Large Language Model Compression

Reference 200

Resolution: verified exact; arxiv_id, observed 2026-07-04T03:19:31.565268Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation de59e951-7fda-4eb0-9d94-37b4f30fcdd9 · inbound

Spectral Rewiring for Exploration, Purification, and Model Merging cites this paper.

Spectral Rewiring for Exploration, Purification, and Model Merging SVD-LLM: Truncation-aware Singular Value Decomposition for Large Language Model Compression

Reference 14

Resolution: unresolved; no resolver link, observed 2026-07-12T05:08:55.438431Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 245a8636-a6b7-4fb2-a673-49f55ef09d23 · inbound

Break Through the Compression Bottleneck: From Theory to Practice cites this paper.

Break Through the Compression Bottleneck: From Theory to Practice SVD-LLM: Truncation-aware Singular Value Decomposition for Large Language Model Compression

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-02T14:29:28.021172Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.