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Paper Citation Record · LEDGER

DipSVD: Dual-importance Protected SVD for Efficient LLM Compression

As of 7 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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T22:58:09.252568Z digest=sha256:573319fe64d606ec0d77734fe60ace69202bb98908137e14a78331e61630134e

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=sha256:0ded43a2a9c72d657296087d49b9cd839abc81ad2afecb3ebb8ebf15b0b592bb

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T22:58:09.262212Z digest=sha256:a044ef71df48aa8098518768f6f760f1a71735d18cee51751a75587c304dcdb9

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=sha256:2319a91f2ecb594641834f87aa7dc414d04884b2c75708ffcd74407ba9e2db13

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T22:58:09.270974Z digest=sha256:83cc49ee824fab3b14987d8be9cc080e1f34efd82056a849ef6731302d21fe6b

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:ea7554e255b49101c94e7022c474f0876e7c1d1554a87d18570c9c192fafdb58

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T22:58:09.281012Z digest=sha256:9bd162af99a208f62a12cd40ea57894837523c19040b73470736798294d08022

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:c56343e3a6f0a2d227a101fcb3ee5de61f7cf7f694791d61d889a3890784bd12

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=sha256:36e6d27b3b9caf7f32e8d439bb0e8cb2371bbf075e4331069e0ca24bb07e041d

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=sha256:8ae88782c0d6847e6fdbba8f24cc6ebaf10ac8ed013238fb61837ff969624f01

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:aca0f4a131ae4f869633ded49e71d52e10b9cdbcf5b173227996760579ba50f1

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T22:58:09.304523Z digest=sha256:83ee7bebaa68c03d67a1330d1d869d183b83c5fd490d064680cd1e9ac18a3877

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=sha256:3a503b041024847154dfc43db75b6607b450f78177379b14e0ee8d71c4082652

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T22:58:09.313359Z digest=sha256:eb11d595d1d07e82cd39a851ae7a9634e748c447f7623046fda39c417c670f84

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:ba8aa355d793ddf50a785439b5102b7473551a26a48a2079b6c272b09f3f2610

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=sha256:5e9b165df5198bc7d2ad03f3a63180e3467f75394c5b4d92b9884bf48cdd3d6a

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=sha256:8ce6bbc0a3eef3786ea3dff063fce63890547502e98c4ff35c8870657090e06a

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:aca3b9d55fa2251e57a50c238473c273c3a82b7ecd0ce1ec7ebbf9c7ef796aba

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=sha256:887583eb9f511a067fdff576449a7b5a3df02b7aee644481bbd32f9b49f551f6

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:f3b1e5500896d277318bdf7f815a899e7de01f2f10aa6dd57738014211ab046b

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=sha256:38b2b50aed971da5cb68c06f6d13fcbf06e2278b5db9109379499bb90a3ae579

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:b42ba9b2ffbe3a542d8be747a38322e1bbaa1ed6befe43c6613ada793f5139f7

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=sha256:9c410b7fed10902b910074d804161266da7c4287c174c0fc30ea35113b651e4b

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=sha256:35477cc57e68d9f4c716e076b65bf22867176d6eb18337cf714bd70ad8e2dbd1

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:e129544790de81e0f8da29539de236730cd47c67708a39dd83a525b9692f29b8

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T22:58:09.373052Z digest=sha256:876a295d10a947337707773343a8aa0e8209a0953ddb1d16e6eeafcb1c6f1f90

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:a923487faac769d6932c8378acf65af01c1982447e44203465dd5be146f9cd00

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=sha256:84173c85fae3a35da3b32702935801f408680821598ac5aea916bbdd6fc301d8

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=sha256:2ddeddc809d01535985d9e063697ff9d6ca477d0909e4c526f2767b90ddaa2b3

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=sha256:5a645188c3dfa2e87945de88a3cd8d42f9440b3da5a5e0b49e8c5988c2fb1a0f

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=sha256:719ffc5276f016fab3d9b701ea1b3d7904daabce1dea0d7ec8bd91cdf7210eb9

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=sha256:9d567302c70b4e1d239f6bb094bae82b7fe3ba0804f7279cd2e9c0926be3720f

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=sha256:38be0aa4cecb6e8d14024a4072a2f449bfa3e132051719798335d5af7681655b

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=sha256:4cfd675d2a270976589dd9167c00b70ad6e845f6b71e0e563527d8454de6e23a

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T22:58:09.423267Z digest=sha256:938f3528dfd777f849e5d170a426f4c38f7e60a64c85f03c219cb518be52bb10

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=sha256:6bfc2d1dd15e140f25b72bda2f8439fc2f6fa2cef192270e7e784650dae93a60

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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Observation 55316e5c-ff61-417a-94d4-380549eb3137 · outbound

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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unresolved
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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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no resolver link, observed 2026-08-06T22:58:09.442335Z

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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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no resolver link, observed 2026-08-06T22:58:09.448270Z

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Observation 85177d1e-e8e2-491a-a0fb-14cbba7c2973 · outbound

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
no resolver link, observed 2026-08-06T22:58:09.458502Z

Source-reported events for the cited work

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Observation 7b23d971-ac29-4766-b509-7e6c7e2805ca · outbound

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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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Source-reported events for the cited work

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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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verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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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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verified exact
arxiv_id, observed 2026-05-20T13:03:17.862221Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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