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Paper Citation Record · LEDGER

DipSVD: Dual-importance Protected SVD for Efficient LLM Compression

As of 9 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 3 inbound Pith citation observations for arXiv:2506.20353.

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

pith.paper-citation-record.v1
2506.20353 v1

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T22:58:09.464521Z

measured 46 of 46 standing notices

One-hop event checks from named stored sources.

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

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-20T13:02:08.337788Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T13:03:17.860174Z

Reference resolution

43 of 43 outbound references displayed

  • verified exact1
  • verified fuzzy1
  • unresolved41
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 194c75b9-f608-4545-a424-81d471826887 · outbound

This paper cites an unresolved cited work.

DipSVD: Dual-importance Protected SVD for Efficient LLM Compression Unresolved cited work

Reference 1

Resolution
unresolved
raw_fallback, observed 2026-08-06T22:58:10.267590Z

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.

source=arxiv_source observed=2026-08-06T22:58:09.252568Z digest=sha256:9bd40fc4e68a1f7293f68f0155148d28acc4c49fdcf009043abebab49a591507

Observation e3910760-5673-4fae-9ba4-042db60b865f · outbound

This paper cites MathQA: Towards Interpretable Math Word Problem Solving with Operation-Based Formalisms.

DipSVD: Dual-importance Protected SVD for Efficient LLM Compression MathQA: Towards Interpretable Math Word Problem Solving with Operation-Based Formalisms

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-06T22:58:09.257127Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:58:09.257127Z digest=sha256:1d31c2816b4bac9ba9d0db3cdfb86dbeac32af94636a628a20d4e5ea41c2fb39

Observation 2d889976-ed6d-4cd5-a2a9-7cb6927ab1f5 · outbound

This paper cites an unresolved cited work.

DipSVD: Dual-importance Protected SVD for Efficient LLM Compression Unresolved cited work

Reference 3

Resolution
unresolved
raw_fallback, observed 2026-08-06T22:58:10.251006Z

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.

source=arxiv_source observed=2026-08-06T22:58:09.262212Z digest=sha256:0806622c431ec218ef3c98ff9edd52e5580cb35c0200d81ae11ba9fd94be3edb

Observation d59c095d-cc24-4025-b127-aa779f4c01ea · outbound

This paper cites an unresolved cited work.

DipSVD: Dual-importance Protected SVD for Efficient LLM Compression Unresolved cited work

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-06T22:58:09.266568Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:58:09.266568Z digest=sha256:34fd369f76cbf3d330fbc255ef0c9fc3b069ca591ab6e9b46687ed6560be544c

Observation fb24fe5d-f4ae-40d2-a856-3769fda8ac8c · outbound

This paper cites an unresolved cited work.

DipSVD: Dual-importance Protected SVD for Efficient LLM Compression Unresolved cited work

Reference 5

Resolution
unresolved
raw_fallback, observed 2026-08-06T22:58:10.224151Z

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.

source=arxiv_source observed=2026-08-06T22:58:09.270974Z digest=sha256:49a25886c56f49fd2359970020eb2d22db4fe4ef9317a66ba027e3198bb9ce03

Observation d7b9f9a9-2d9d-49f6-a3e5-b96b6940bb5d · outbound

This paper cites ChatCoT: Tool-Augmented Chain-of-Thought Reasoning on Chat-based Large Language Models.

DipSVD: Dual-importance Protected SVD for Efficient LLM Compression ChatCoT: Tool-Augmented Chain-of-Thought Reasoning on Chat-based Large Language Models

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-06T22:58:09.275621Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:58:09.275621Z digest=sha256:7065129e07f4bb32b09baf869215b0aa908ad4e9625f336e4cb46337033f84a4

Observation caf15435-7b15-425d-a176-5b53a6816dc3 · outbound

This paper cites an unresolved cited work.

DipSVD: Dual-importance Protected SVD for Efficient LLM Compression Unresolved cited work

Reference 7

Resolution
unresolved
raw_fallback, observed 2026-08-06T22:58:10.207536Z

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.

source=arxiv_source observed=2026-08-06T22:58:09.281012Z digest=sha256:b82f15bd7289ff8185a64fcef49bd506523e70e09b9253d6fe028b38292c4623

Observation f9fc1b2e-6e8c-417c-a622-f422821ba665 · outbound

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

DipSVD: Dual-importance Protected SVD for Efficient LLM Compression Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-06T22:58:09.286016Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:58:09.286016Z digest=sha256:04aa32d8d20eac50798331082c59adbd9ed5834d9efb2b7c18336e220639cbf3

Observation c1c7c815-0ab0-4a2e-a7f1-e1ac84fc1627 · outbound

This paper cites Selection-Inference: Exploiting Large Language Models for Interpretable Logical Reasoning.

DipSVD: Dual-importance Protected SVD for Efficient LLM Compression Selection-Inference: Exploiting Large Language Models for Interpretable Logical Reasoning

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-06T22:58:09.290196Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:58:09.290196Z digest=sha256:1c2b3ca40cc09cd44cf8a29d3fd84de309551970c6501404d51da427508b07aa

Observation f3e4b592-92b1-451b-8644-81e3a6770c74 · outbound

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

DipSVD: Dual-importance Protected SVD for Efficient LLM Compression Beyond Size: How Gradients Shape Pruning Decisions in Large Language Models

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-06T22:58:09.294934Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:58:09.294934Z digest=sha256:70274aadb286bae9c5c88e1f09c690c326d26a6df929244ed31577c2f0ede169

Observation 8d7f4b36-e9e8-44ff-9f55-458ab5adae4e · outbound

This paper cites DeepSeek-V3 Technical Report.

DipSVD: Dual-importance Protected SVD for Efficient LLM Compression DeepSeek-V3 Technical Report

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-06T22:58:09.299889Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:58:09.299889Z digest=sha256:e5afe47e25e5be611fce3848509964e0d1b6adb464f54a0cef24c8b94105d908

Observation 6346a234-3c79-4163-a3e6-6612ca11c7a0 · outbound

This paper cites an unresolved cited work.

DipSVD: Dual-importance Protected SVD for Efficient LLM Compression Unresolved cited work

Reference 12

Resolution
verified exact
raw_fallback, observed 2026-08-06T22:58:09.952337Z

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.

source=arxiv_source observed=2026-08-06T22:58:09.304523Z digest=sha256:73659847ac68aea070c98fa387a1ad2fba449d7d555045db040259b26ba56ed8

Observation ade39c0f-f51e-4c82-8f16-222cdfb2ae79 · outbound

This paper cites GTBench: Uncovering the Strategic Reasoning Limitations of LLMs via Game-Theoretic Evaluations.

DipSVD: Dual-importance Protected SVD for Efficient LLM Compression GTBench: Uncovering the Strategic Reasoning Limitations of LLMs via Game-Theoretic Evaluations

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-06T22:58:09.308919Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:58:09.308919Z digest=sha256:5d3f61ab19302fb5dd6563af0afc3ebc61c2e8bd9a35f8adb19befddc7f4be89

Observation e33ee016-3c1b-4e61-b968-eb8bb84d1c4a · outbound

This paper cites an unresolved cited work.

DipSVD: Dual-importance Protected SVD for Efficient LLM Compression Unresolved cited work

Reference 14

Resolution
unresolved
raw_fallback, observed 2026-08-06T22:58:10.190315Z

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.

source=arxiv_source observed=2026-08-06T22:58:09.313359Z digest=sha256:4c6c62d0d1a3caba6051634368ae08b2ab1f66babbdb5daa4a17365023a8c7d9

Observation bdbaff90-18c4-44cc-b557-a820537b9852 · outbound

This paper cites GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers.

DipSVD: Dual-importance Protected SVD for Efficient LLM Compression GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-06T22:58:09.318047Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:58:09.318047Z digest=sha256:255c5152dbed5447f64113aba83e75151afeddc3b5b2da3dca978cb1331a5bb7

Observation 942a9050-a414-408b-91f0-4234a27c573e · outbound

This paper cites an unresolved cited work.

DipSVD: Dual-importance Protected SVD for Efficient LLM Compression Unresolved cited work

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-06T22:58:09.323392Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:58:09.323392Z digest=sha256:00e223800fab02ad59858363906f3af8076e5f4879c7b3e781e6331fd3648e7f

Observation 8c10d2b9-b797-410b-86b5-18b665fbedf2 · outbound

This paper cites MiniLLM: On-Policy Distillation of Large Language Models.

DipSVD: Dual-importance Protected SVD for Efficient LLM Compression MiniLLM: On-Policy Distillation of Large Language Models

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-06T22:58:09.327999Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:58:09.327999Z digest=sha256:fdfc84707d9f30299df7d4de11789a33f406e65a286f8e2c37d017664364e843

Observation f13160b3-9f5b-4067-b817-94ccb3c595bf · outbound

This paper cites Distilling Step-by-Step! Outperforming Larger Language Models with Less Training Data and Smaller Model Sizes.

DipSVD: Dual-importance Protected SVD for Efficient LLM Compression Distilling Step-by-Step! Outperforming Larger Language Models with Less Training Data and Smaller Model Sizes

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-06T22:58:09.333138Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:58:09.333138Z digest=sha256:6dbc280ceac2cb8b32c6a11b436d433a2d7eaaaf8178bc1990efdf57b4061feb

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

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

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.

source=arxiv_source observed=2026-08-06T22:58:09.339529Z digest=sha256:d8c20173197f90aa46bf4cb0f9b523eb6c00702669911a0bf8ef0dd3ee26ba40

Observation 0df1acf6-6c13-4f90-b7ab-e32b7199fe7f · outbound

This paper cites Shortened LLaMA: Depth Pruning for Large Language Models with Comparison of Retraining Methods.

DipSVD: Dual-importance Protected SVD for Efficient LLM Compression Shortened LLaMA: Depth Pruning for Large Language Models with Comparison of Retraining Methods

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-06T22:58:09.344388Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:58:09.344388Z digest=sha256:1a778afda4b705ddd4376f26f052065ead53c40316dc627db175c465b23b4396

Observation 98a6c3ce-3d26-4cef-9da7-94211323a179 · outbound

This paper cites Compression of Deep Convolutional Neural Networks for Fast and Low Power Mobile Applications.

DipSVD: Dual-importance Protected SVD for Efficient LLM Compression Compression of Deep Convolutional Neural Networks for Fast and Low Power Mobile Applications

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-06T22:58:09.349439Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:58:09.349439Z digest=sha256:e437c53268f6ed6f55ade20d56556f095363edf9272a84bfbb3b159b654ae4cc

Observation afb47b9a-9024-441a-b97a-73df6cff3a7a · outbound

This paper cites DistiLLM: Towards Streamlined Distillation for Large Language Models.

DipSVD: Dual-importance Protected SVD for Efficient LLM Compression DistiLLM: Towards Streamlined Distillation for Large Language Models

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-06T22:58:09.354241Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:58:09.354241Z digest=sha256:4747db1a1467581ab4538aeb98566c92c645cb84d3c30b437bed97ee1187c99e

Observation 18fd7ab1-8b1c-4f5d-9196-ee9999f62d13 · outbound

This paper cites an unresolved cited work.

DipSVD: Dual-importance Protected SVD for Efficient LLM Compression Unresolved cited work

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-06T22:58:09.359057Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:58:09.359057Z digest=sha256:dca46a5a445a0cdc87f862dd85faaee96b59c6a7dabd54ca3a5b4d9318c7aa30

Observation f71ed466-5fdc-4ede-847c-9b028ff63a57 · outbound

This paper cites Large Language Model Guided Tree-of-Thought.

DipSVD: Dual-importance Protected SVD for Efficient LLM Compression Large Language Model Guided Tree-of-Thought

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-06T22:58:09.363564Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:58:09.363564Z digest=sha256:cee995067c6d119f9d21fa065d4c07c14c7fd9a79ba30e3c7e0aee993f85ccb5

Observation 15593606-7149-47cb-bc38-abd8f6cc4442 · outbound

This paper cites an unresolved cited work.

DipSVD: Dual-importance Protected SVD for Efficient LLM Compression Unresolved cited work

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-06T22:58:09.368195Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:58:09.368195Z digest=sha256:868cfcc0ca5bb3d8d4c5dad673712399a3a97952f035afce74c2a4501d6a0e3e

Observation 810714f1-74a0-4951-82fe-52db304eb357 · outbound

This paper cites Marcus, Beatrice Santorini, and Mary Ann Marcinkiewicz.

DipSVD: Dual-importance Protected SVD for Efficient LLM Compression Marcus, Beatrice Santorini, and Mary Ann Marcinkiewicz

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:58:10.150936Z

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.

source=arxiv_source observed=2026-08-06T22:58:09.373052Z digest=sha256:19754f06003f07a23896505bfdf3c5410758a47f6575c4115e579dd40a69e6d2

Observation 8760274e-24fa-40ef-8dfc-7271dc97bc24 · outbound

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

DipSVD: Dual-importance Protected SVD for Efficient LLM Compression ShortGPT: Layers in Large Language Models are More Redundant Than You Expect

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-06T22:58:09.378124Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:58:09.378124Z digest=sha256:58f5c61522395b3be46d4f30c832f2f44019290dd68db6378f15fe5e9dad08f2

Observation f2f167b2-df2f-4699-af0a-04a135c3b47c · outbound

This paper cites Pointer Sentinel Mixture Models.

DipSVD: Dual-importance Protected SVD for Efficient LLM Compression Pointer Sentinel Mixture Models

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-06T22:58:09.383288Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:58:09.383288Z digest=sha256:a24096e9c584ccfb9268043203270321887b554ae5b0f8b1e7137b9dcecf1dbb

Observation ddb4d8c1-9b4d-4dfe-9c8c-fd18eed320b7 · outbound

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

DipSVD: Dual-importance Protected SVD for Efficient LLM Compression Can a Suit of Armor Conduct Electricity? A New Dataset for Open Book Question Answering

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-06T22:58:09.393198Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:58:09.393198Z digest=sha256:2709adb454f2d190c01f07ea8c9f36d97fd809cd5240b2a7edcdac11e72f73fe

Observation efca936b-7996-4a94-ae34-160008f0d7a2 · outbound

This paper cites Logic-LM: Empowering Large Language Models with Symbolic Solvers for Faithful Logical Reasoning.

DipSVD: Dual-importance Protected SVD for Efficient LLM Compression Logic-LM: Empowering Large Language Models with Symbolic Solvers for Faithful Logical Reasoning

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-06T22:58:09.398339Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:58:09.398339Z digest=sha256:296c3b1828ff00ef1af18d46d6a3f33e7d1b719629b9d3e448638ce729069e1e

Observation 581eeac3-912e-4be2-ba50-05a9c5c47b8b · outbound

This paper cites an unresolved cited work.

DipSVD: Dual-importance Protected SVD for Efficient LLM Compression Unresolved cited work

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-06T22:58:09.403280Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:58:09.403280Z digest=sha256:a28b500dc8e24b2287512892193c191a7d3aa4517710f7d79d4009951e825014

Observation a9097cef-a1d4-41e4-be55-c8db94e02f57 · outbound

This paper cites SLEB: Streamlining LLMs through Redundancy Verification and Elimination of Transformer Blocks.

DipSVD: Dual-importance Protected SVD for Efficient LLM Compression SLEB: Streamlining LLMs through Redundancy Verification and Elimination of Transformer Blocks

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-06T22:58:09.407929Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:58:09.407929Z digest=sha256:8901db6ceb63dfa502f0289ecf63b8a64bc19cd292ba216a633a0c89ffa6d95b

Observation ba842604-d1b8-4f2c-8cf8-522f9a910051 · outbound

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

DipSVD: Dual-importance Protected SVD for Efficient LLM Compression A Simple and Effective Pruning Approach for Large Language Models

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-06T22:58:09.413012Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:58:09.413012Z digest=sha256:a60bf4b277a2587b77d2a8b5b4d6682ae99c4404916aa78d83b49c826ad6a093

Observation 8117c12d-ea32-4213-aa37-fca913643ca3 · outbound

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

DipSVD: Dual-importance Protected SVD for Efficient LLM Compression LLaMA: Open and Efficient Foundation Language Models

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-06T22:58:09.418224Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:58:09.418224Z digest=sha256:46e8670aac1ffce9eaa936db6228fd6a60e140a3b638cdcaa33ccd02f652059c

Observation 97779b26-c304-4040-9cf9-3e50f6fbe2e3 · outbound

This paper cites an unresolved cited work.

DipSVD: Dual-importance Protected SVD for Efficient LLM Compression Unresolved cited work

Reference 36

Resolution
unresolved
raw_fallback, observed 2026-08-06T22:58:10.122649Z

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.

source=arxiv_source observed=2026-08-06T22:58:09.423267Z digest=sha256:670576e3f1843d8e3927d17cfa7ca053f961f8ba2ff4c8994e4698ad61b97888

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

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

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.

source=arxiv_source observed=2026-08-06T22:58:09.427875Z digest=sha256:d965c7ee8e34cc0acc87e4d5934905bf34560786d79d4998f0b0089ab7789fe6

Observation f05e523d-2a85-458d-9ffe-ecd124e2f74f · outbound

This paper cites an unresolved cited work.

DipSVD: Dual-importance Protected SVD for Efficient LLM Compression Unresolved cited work

Reference 38

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Unavailable: canonical work link unavailable.

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

DipSVD: Dual-importance Protected SVD for Efficient LLM Compression ASVD: Activation-aware Singular Value Decomposition for Compressing Large Language Models

Reference 39

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Observation ff815dcd-05d4-42a1-be56-6fbd8d3a6b9d · outbound

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

DipSVD: Dual-importance Protected SVD for Efficient LLM Compression HellaSwag: Can a Machine Really Finish Your Sentence?

Reference 40

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Observation 29aabc29-a33f-464c-ae12-608be072466e · outbound

This paper cites Investigating Layer Importance in Large Language Models.

DipSVD: Dual-importance Protected SVD for Efficient LLM Compression Investigating Layer Importance in Large Language Models

Reference 41

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

DipSVD: Dual-importance Protected SVD for Efficient LLM Compression A Survey on Efficient Inference for Large Language Models

Reference 42

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DipSVD: Dual-importance Protected SVD for Efficient LLM Compression online" 'onlinestring :=

Reference 43

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unresolved
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DipSVD: Dual-importance Protected SVD for Efficient LLM Compression write newline

Reference 44

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Pith citing papers

Observation d63e8a3f-387f-4a57-b89d-2bc88c5b2723 · 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 DipSVD: Dual-importance Protected SVD for Efficient LLM Compression

Reference 17

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Observation 5ae76682-6a3f-44ca-98ef-83e4f46c0ac7 · 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 DipSVD: Dual-importance Protected SVD for Efficient LLM Compression

Reference 9

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Observation 9c514930-28ee-4c34-8fe1-1f30c4530206 · 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 DipSVD: Dual-importance Protected SVD for Efficient LLM Compression

Reference 6

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