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Paper Citation Record · LEDGER

DipSVD: Dual-importance Protected SVD for Efficient LLM Compression

As of 21 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 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-06T22:58:09.252568Z digest=sha256:c701df53ecc6cea4391cc67317319f6df7d9bf4b3b1986d143ec4f136907c286

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=sha256:833c21a70d71017ef207b8c663e288b8bddba0b2d32ec4dec324e094c818fe43

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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-06T22:58:09.262212Z digest=sha256:2c63eb58bb5b989923a5dc6c21e83a2739c9ef9261117f10e7d90a28683f29a0

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=sha256:7f58c764aad5dd8092f9cfba004e387c2881c0290264a19c4ee12802f2f59de6

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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-06T22:58:09.270974Z digest=sha256:6549dd794196a746a3d67d1e4844996cd53fcede8cfc98de8d29c83dcd9236f4

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=sha256:69f22f97408e5da86473999cd88f59f4886382e51738b79032afd17a70c1a046

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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-06T22:58:09.281012Z digest=sha256:6756aeb616bf6939d9b663fbeb180f103f3f39533bdee8fdec1066801bcbcef3

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:d4989c9002a99935d450c937fe412649b9296b816aca2efcc9a6ed0d59629bd9

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=sha256:2d79a68222595201cd6cb5a5f70f4f2a82f3ed98d55cba556e0d6ffb1d14fd72

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:d1493fd8e5d36aa8e814c07e5c7d7978caf7331012def8723054f49b035e9064

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=sha256:4315f45bff03cbe3d2f51769bad7435a1a5334ad7cbc9b5992ce9e123b80211f

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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-06T22:58:09.304523Z digest=sha256:d0ef5a6d8b8d262329b13e274dc51c63fbfa69b18386093965e1b767e4fff0f0

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:b51d5f5d84294dc87b8a9a52a3ed7a928c545f13d5af7cc40e1446ba07a03885

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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-06T22:58:09.313359Z digest=sha256:f5e99eac6804a1f5b391488fb9426075c498b6b3e4edb1e875b481fdb38a940f

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=sha256:9751c17f1027fa31b6e37728483ffe8ed8ca48d6f84669dcbd02841de75d3dcd

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=sha256:375a64b2e422e454cc91358ddc92d7c31a853a042e9c50e9e6c2c811f55c28f0

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:a73537d80659a320954d142b25f86bf2904b1f5ac9f2dcd7d5042c1c86f9f119

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=sha256:15e96df94dabdd159493949d468c8de5654c42ff86b56e1e034c8c9f7d5e9a00

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=sha256:542099a9db4acaaf7c9ef7d5d94e4539262be377898d56647b714d9718031571

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=sha256:229902cada43c90dfc904f06006367c5c2067324c12d0e7d74841e2da8ce74ae

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=sha256:2f08379e672bcc41e6f0be848c506e10e59ba72f128729b694c5413b687abc80

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=sha256:9dc653b05781b13ad62e6466fad31b1a1bc0a05c7ed20938981bc135e7195abb

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=sha256:29b38ebf5f55d62d693ae17c1be5c39162a855ce9b720d58c63ab9e98f337f51

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:c43cfcad7bb427dbcdf88b19509ceab249440656c60076bc99094de9228d477c

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=sha256:30009ae33a68d97238c50919e6efa12fa056935504df51f3bf137304c8707756

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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-06T22:58:09.373052Z digest=sha256:9fabd73b36ca45d155dde771553e05dc5579c1a29a2f5ec9848632abe49f424e

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=sha256:05a1d2e6b4f954252beff45104d1a67c73b8219916b0be46715207f50deb9739

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:d55ed2019a9e61a8529ab19c592662847819add0a4c9a4a5c9685bf464e3ea9f

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=sha256:937e2e635cedefc7a69be63e3a3c6fa1ef149752d9bccd6ead1925925aa8d705

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=sha256:830813711a933bc01310c493511ebbedac20afcae188045e2da031bb62f4d7cd

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:d69ab2b35ee08ce709ecf7820ad940280d1290a8987e38317036803a104d931c

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=sha256:2ab2543866decb75a9dda3a30e3fb5c145f43077ee28f38daca59c6575536cce

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:f8da9350a37f92a00caf53bb52fa412e978e18f32de090a19c9060dfab302946

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=sha256:74e86c26540bdb2170e0d015fb32ec886aee8b9c736b58972f00a645dafcfdca

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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-06T22:58:09.423267Z digest=sha256:a0e5881080c99d8acf202001e2a877aa0eb1583390653fa3744e7d237754527b

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=sha256:082a270326e3106ff5bfea654fe683814fedb926c96e57a5fd4d36d4fb5cf265

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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Source-reported events for the cited work

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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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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unresolved
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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unresolved
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Unavailable: canonical work link unavailable.

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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
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

This paper cites write newline.

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

Reference 44

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unresolved
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Source-reported events for the cited work

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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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verified exact
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Source-reported events for the cited work

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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
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Source-reported events for the cited work

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