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Paper Citation Record · LEDGER

Dobi-SVD: Differentiable SVD for LLM Compression and Some New Perspectives

As of 22 August 2026, this Paper Citation Record lists 65 of 65 outbound references and 11 inbound Pith citation observations for arXiv:2502.02723.

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

pith.paper-citation-record.v1
2502.02723 v1

Coverage vector

measured 65 of 65 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T11:28:42.782058Z

measured 76 of 76 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T22:52:34.945281Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

65 of 65 outbound references displayed

  • verified exact0
  • verified fuzzy23
  • unresolved42
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation 4bcfa074-0c5a-4cf5-9d92-75bf999d9168 · outbound

This paper cites Online embedding compression for text classification using low rank matrix factorization.

Dobi-SVD: Differentiable SVD for LLM Compression and Some New Perspectives Online embedding compression for text classification using low rank matrix factorization

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T11:28:44.308721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-09T11:28:41.728677Z digest=sha256:453d71df8192f1600b90e5ad00e6497780bbebc5349920d287503fa82cabb921

Observation a2a31796-beb2-4155-aaf7-09f30101c05a · outbound

This paper cites GPT-4 Technical Report.

Dobi-SVD: Differentiable SVD for LLM Compression and Some New Perspectives GPT-4 Technical Report

Reference 2

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no resolver link, observed 2026-08-09T11:28:41.734065Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T11:28:41.734065Z digest=sha256:5452256601c03578322e48e8c9b4d4f3e249c8c5e09e83adaaf4069f523996da

Observation da0344b2-58d0-4440-af75-0c612c8bc739 · outbound

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

Dobi-SVD: Differentiable SVD for LLM Compression and Some New Perspectives MathQA: Towards Interpretable Math Word Problem Solving with Operation-Based Formalisms

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-09T11:28:41.738892Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T11:28:41.738892Z digest=sha256:ed22a1cfa5f7b9683b2cfd6e1d7d37df4aefc6de1dafad60756f90708d6f54b8

Observation 7833c457-167b-46d3-bec5-b1bdcd40a65f · outbound

This paper cites Fluctuation-based adaptive structured pruning for large language models.

Dobi-SVD: Differentiable SVD for LLM Compression and Some New Perspectives Fluctuation-based adaptive structured pruning for large language models

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T11:28:44.257929Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-09T11:28:41.743565Z digest=sha256:980a8743f61595686542fa22604c2a258b45ab4d74655aed787ac53ce4cb5fd7

Observation 0203bb5c-415c-4efe-bc9c-2bd009ed3fb2 · outbound

This paper cites Fluctuation-based adaptive structured pruning for large language models.

Dobi-SVD: Differentiable SVD for LLM Compression and Some New Perspectives Fluctuation-based adaptive structured pruning for large language models

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T11:28:44.095705Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-09T11:28:41.748914Z digest=sha256:e796be8ce393b03ffb66cd193e1b2e06627b7b038dca27b843bdc0b1c9ac9405

Observation 42b9402e-2097-4547-a53f-760554f80f1a · outbound

This paper cites SliceGPT: Compress Large Language Models by Deleting Rows and Columns.

Dobi-SVD: Differentiable SVD for LLM Compression and Some New Perspectives SliceGPT: Compress Large Language Models by Deleting Rows and Columns

Reference 6

Resolution
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no resolver link, observed 2026-08-09T11:28:41.753549Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T11:28:41.753549Z digest=sha256:9d89ecb1ebc0937e4f6d0b1c7440c836409162c212faa2ef636d1fe5db90e537

Observation b484d0ed-0e07-4151-b346-896ffe71afee · outbound

This paper cites Polycystic kidney disease.

Dobi-SVD: Differentiable SVD for LLM Compression and Some New Perspectives Polycystic kidney disease

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T11:28:43.990652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-09T11:28:41.759004Z digest=sha256:4ad52ef8e0984d27b602d6ad67d06185152b9f3ed7df6bab7c08450bc4ec07b6

Observation 5512a3b1-a4b1-47ef-82e1-d273f7f9c1a9 · outbound

This paper cites Piqa: Reasoning about physical commonsense in natural language.

Dobi-SVD: Differentiable SVD for LLM Compression and Some New Perspectives Piqa: Reasoning about physical commonsense in natural language

Reference 8

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no resolver link, observed 2026-08-09T11:28:41.789022Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-09T11:28:41.789022Z digest=sha256:08c6fe040692230f7ea79e76e4ea2b11ebbded0e5598602e124479cf0aedd2b1

Observation ed1371eb-c2ab-4243-bcfe-57627e32097c · outbound

This paper cites Compression of facial images using the k-svd algorithm.

Dobi-SVD: Differentiable SVD for LLM Compression and Some New Perspectives Compression of facial images using the k-svd algorithm

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T11:28:43.948695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-09T11:28:41.806167Z digest=sha256:91ab3b939ea30c52daf120870e6f3e52538018e9206eef7b28db70fdb56f7287

Observation 4da6f7cc-d993-4278-8550-cd787e359626 · outbound

This paper cites Model compression.

Dobi-SVD: Differentiable SVD for LLM Compression and Some New Perspectives Model compression

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-09T11:28:41.837530Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T11:28:41.837530Z digest=sha256:b1f036e15df0b88fe9f6939703d077416a58bfb9ebd615b1aba1017d9c2787e0

Observation 4afa722c-74af-4adc-871c-ecbcacd4724a · outbound

This paper cites AdaBERT: Task-Adaptive BERT Compression with Differentiable Neural Architecture Search.

Dobi-SVD: Differentiable SVD for LLM Compression and Some New Perspectives AdaBERT: Task-Adaptive BERT Compression with Differentiable Neural Architecture Search

Reference 11

Resolution
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no resolver link, observed 2026-08-09T11:28:41.876800Z

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source=arxiv_source observed=2026-08-09T11:28:41.876800Z digest=sha256:dd9851618a22cab34fa49cc9347b12183dcdc98363f8bac9221deb1e07610f06

Observation 40154a49-5c52-43aa-a8c7-634c46894495 · outbound

This paper cites Groupreduce: Block-wise low-rank approximation for neural language model shrinking.

Dobi-SVD: Differentiable SVD for LLM Compression and Some New Perspectives Groupreduce: Block-wise low-rank approximation for neural language model shrinking

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T11:28:43.920828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-09T11:28:41.912377Z digest=sha256:c3d8861919fc1ed68729a720b3cd9c8fbabca715104415dcab88eacf6181c32d

Observation ff14f3dc-5d70-4473-addd-62db01879b37 · outbound

This paper cites A Survey of Model Compression and Acceleration for Deep Neural Networks.

Dobi-SVD: Differentiable SVD for LLM Compression and Some New Perspectives A Survey of Model Compression and Acceleration for Deep Neural Networks

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-09T11:28:41.989055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T11:28:41.989055Z digest=sha256:3ba79fb327790bba27b26cf89c4f1cfc224796d2f03c409556348b124f82157f

Observation 6cd99a94-218e-4a1a-8a3c-b6aa330be97a · outbound

This paper cites A comprehensive survey on model compression and acceleration.

Dobi-SVD: Differentiable SVD for LLM Compression and Some New Perspectives A comprehensive survey on model compression and acceleration

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T11:28:43.904776Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-09T11:28:42.010396Z digest=sha256:9d1a0f8d25e088cd872b16baf57c89f133971ab45e9889f7604f2019b454bca2

Observation 17a68406-e469-42a8-9aeb-d2e05f9f120a · outbound

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

Dobi-SVD: Differentiable SVD for LLM Compression and Some New Perspectives Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-09T11:28:42.015659Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T11:28:42.015659Z digest=sha256:e5d0279288bfc4bed0ef1f1710c19c4665e880f7fd959afc1ba5b6ab40f046d6

Observation e5af80f8-d349-41bc-881a-29e9621b66b2 · outbound

This paper cites Exploiting linear structure within convolutional networks for efficient evaluation.

Dobi-SVD: Differentiable SVD for LLM Compression and Some New Perspectives Exploiting linear structure within convolutional networks for efficient evaluation

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T11:28:43.887379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-09T11:28:42.020616Z digest=sha256:175599ab4b99d3b54e48675f58702e9436de7ffde734a2970b8fe7cb1d48224c

Observation 28820110-367f-46d4-9496-debfceb6c155 · outbound

This paper cites Everybody prune now: Structured pruning of llms with only forward passes.

Dobi-SVD: Differentiable SVD for LLM Compression and Some New Perspectives Everybody prune now: Structured pruning of llms with only forward passes

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-09T11:28:42.025275Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T11:28:42.025275Z digest=sha256:d6a3ed5c97dda79d8432d57b8297140e3fac1c1794e7984931db05bae19e619d

Observation 3996e979-36db-481d-b3a9-da6aef92a1f2 · outbound

This paper cites Qlora: Efficient finetuning of quantized llms.

Dobi-SVD: Differentiable SVD for LLM Compression and Some New Perspectives Qlora: Efficient finetuning of quantized llms

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-09T11:28:42.136930Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T11:28:42.136930Z digest=sha256:068705fea3d3f1a885aee26e69ab0b23cb4bdc00a3645bb5d966f9881c72d7e8

Observation d5b6d554-3a1e-418c-a4a2-e6743113ece2 · outbound

This paper cites Sparsegpt: Massive language models can be accurately pruned in one-shot.

Dobi-SVD: Differentiable SVD for LLM Compression and Some New Perspectives Sparsegpt: Massive language models can be accurately pruned in one-shot

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-09T11:28:42.142052Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T11:28:42.142052Z digest=sha256:12b6fd55f181f037fded3bb711478e1698ad356465d832e2dd7788a7fe6ffc6a

Observation b8bab2db-b79a-4cbe-bf6b-76822a4b1ee8 · outbound

This paper cites Optq: Accurate quantization for generative pre-trained transformers.

Dobi-SVD: Differentiable SVD for LLM Compression and Some New Perspectives Optq: Accurate quantization for generative pre-trained transformers

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T11:28:43.848589Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-09T11:28:42.147686Z digest=sha256:0f4a3cdd6a13f49b854d75277429e720e117d7937e6766089b45150a0b9312aa

Observation e9d88207-bb64-4067-b9e4-e644b1cb0063 · outbound

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

Dobi-SVD: Differentiable SVD for LLM Compression and Some New Perspectives GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-09T11:28:42.151994Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T11:28:42.151994Z digest=sha256:a0b0599294c9e488e5afa900a1cc227572950beaac1b2590767451d28166527f

Observation 05f0db00-f88c-4cbf-a9b9-2b83c3b97105 · outbound

This paper cites A framework for few-shot language model evaluation.

Dobi-SVD: Differentiable SVD for LLM Compression and Some New Perspectives A framework for few-shot language model evaluation

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-09T11:28:42.156513Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T11:28:42.156513Z digest=sha256:bb1246d3b117a7ea9d911c5889eaecdb5a1425bcc91fbdde3596eeab313583dd

Observation 5e1d1039-9846-4277-bd6a-c538d66f4a71 · outbound

This paper cites An efficient svd-based method for image denoising.

Dobi-SVD: Differentiable SVD for LLM Compression and Some New Perspectives An efficient svd-based method for image denoising

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T11:28:43.821404Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-09T11:28:42.160954Z digest=sha256:5c7fcbc5d03c12f982af6505ac960752879617d1f505c64055a2da8fedc7327f

Observation 100ecf27-ea29-424d-afe9-6b052a2b3bf9 · outbound

This paper cites Dynabert: Dynamic bert with adaptive width and depth.

Dobi-SVD: Differentiable SVD for LLM Compression and Some New Perspectives Dynabert: Dynamic bert with adaptive width and depth

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T11:28:43.804535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-09T11:28:42.165375Z digest=sha256:bbdc65b4549ce9ec1bc7dc8ab8fc14777d980eb420b9effd0959a931f6078e70

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

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

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

Reference 25

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T11:28:42.170042Z digest=sha256:44945df4694532770eb539cba4dcb9e0544d9c8e27636a081de850602df14156

Observation 96009f49-6cd5-44ba-a6bd-bb4868e36dea · outbound

This paper cites Speeding up Convolutional Neural Networks with Low Rank Expansions.

Dobi-SVD: Differentiable SVD for LLM Compression and Some New Perspectives Speeding up Convolutional Neural Networks with Low Rank Expansions

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-09T11:28:42.174810Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T11:28:42.174810Z digest=sha256:93302615dae779aef4ccbb42b7b5b1284b88c089519e0ce2940655948f0b2859

Observation 0165c44b-07a6-4503-90cd-b7ff83e2112e · outbound

This paper cites OpenVLA: An Open-Source Vision-Language-Action Model.

Dobi-SVD: Differentiable SVD for LLM Compression and Some New Perspectives OpenVLA: An Open-Source Vision-Language-Action Model

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-09T11:28:42.179119Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T11:28:42.179119Z digest=sha256:c75cda2f58338e3a29709434342097cacee34dd655f2bb1f42d456c8d6c7c6c5

Observation 8b308851-e505-4df8-ad27-7ad194f53a52 · outbound

This paper cites SqueezeLLM: Dense-and-Sparse Quantization.

Dobi-SVD: Differentiable SVD for LLM Compression and Some New Perspectives SqueezeLLM: Dense-and-Sparse Quantization

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-09T11:28:42.183775Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T11:28:42.183775Z digest=sha256:c3f66db9db84a05635a7442263d67b3e553065a8e1ed96eeddeb84226a96addf

Observation 77e05df3-c775-4879-adca-e1deb99f96dc · outbound

This paper cites The singular value decomposition: Its computation and some applications.

Dobi-SVD: Differentiable SVD for LLM Compression and Some New Perspectives The singular value decomposition: Its computation and some applications

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T11:28:43.787911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-09T11:28:42.188513Z digest=sha256:7f6fdaeefd49636e29140a36f6d74a77f762b5f8f83bf1cfdd2f4be7000d8472

Observation 6755f68b-b791-4a9b-b8de-11ffd0f0b17a · outbound

This paper cites Speeding-up Convolutional Neural Networks Using Fine-tuned CP-Decomposition.

Dobi-SVD: Differentiable SVD for LLM Compression and Some New Perspectives Speeding-up Convolutional Neural Networks Using Fine-tuned CP-Decomposition

Reference 30

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unresolved
no resolver link, observed 2026-08-09T11:28:42.193127Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T11:28:42.193127Z digest=sha256:51929f8852e5cf15b7fbe9b5219e075ae6a1e8311e0dbae5fabdfe27b7e4e28b

Observation ab67c8cd-a77d-486d-b086-0d449177f920 · outbound

This paper cites Mimo transmission over a time-varying channel using svd.

Dobi-SVD: Differentiable SVD for LLM Compression and Some New Perspectives Mimo transmission over a time-varying channel using svd

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T11:28:43.770022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-09T11:28:42.197485Z digest=sha256:b485f1ad5c76719205e5a729ddb07da60e60571b25a048bc6ac949023ddc6bc8

Observation eb3ebefa-7e85-4327-9f87-e76e23343974 · outbound

This paper cites LRQ: Optimizing Post-Training Quantization for Large Language Models by Learning Low-Rank Weight-Scaling Matrices.

Dobi-SVD: Differentiable SVD for LLM Compression and Some New Perspectives LRQ: Optimizing Post-Training Quantization for Large Language Models by Learning Low-Rank Weight-Scaling Matrices

Reference 32

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unresolved
no resolver link, observed 2026-08-09T11:28:42.201982Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T11:28:42.201982Z digest=sha256:0a2bd12223e220f4f24fabb371b06c132709b0f5433dc27b6fa5e4fa42cab7e8

Observation 541a9166-7dcd-4109-92cd-d50d1be7d776 · outbound

This paper cites Awq: Activation-aware weight quantization for on-device llm compression and acceleration.

Dobi-SVD: Differentiable SVD for LLM Compression and Some New Perspectives Awq: Activation-aware weight quantization for on-device llm compression and acceleration

Reference 33

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unresolved
no resolver link, observed 2026-08-09T11:28:42.227778Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T11:28:42.227778Z digest=sha256:2af32606e1f89afb919ef2ecb09b8a99a3e725a22f9d320b10942238bb445d15

Observation 2100be7d-1f2e-4742-9b81-5802c6530901 · outbound

This paper cites Improved baselines with visual instruction tuning.

Dobi-SVD: Differentiable SVD for LLM Compression and Some New Perspectives Improved baselines with visual instruction tuning

Reference 34

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unresolved
no resolver link, observed 2026-08-09T11:28:42.267896Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T11:28:42.267896Z digest=sha256:1f4ce54241b92001a8feddebc1bfaf2899f276cf89464db09398452db4f55727

Observation 0cf694df-be49-4cdf-9a0c-aaa4fea675c5 · outbound

This paper cites Llm-pruner: On the structural pruning of large language models.

Dobi-SVD: Differentiable SVD for LLM Compression and Some New Perspectives Llm-pruner: On the structural pruning of large language models

Reference 35

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no resolver link, observed 2026-08-09T11:28:42.371607Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T11:28:42.371607Z digest=sha256:94d217267435cc285c893d26a234b37d3b5d116c56a63664a45a4a7faa8d5420

Observation 310550ea-1bc2-4bf2-9409-741cccc8435c · outbound

This paper cites Building a large annotated corpus of english: The penn treebank.

Dobi-SVD: Differentiable SVD for LLM Compression and Some New Perspectives Building a large annotated corpus of english: The penn treebank

Reference 36

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no resolver link, observed 2026-08-09T11:28:42.431531Z

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source=arxiv_source observed=2026-08-09T11:28:42.431531Z digest=sha256:83fac5bec77b5f6670eee5fc5e07d94c46d80512c1c87be8c7bae4e01175a0d1

Observation 06a0301e-2523-417f-a179-a8aba0ee0a1f · outbound

This paper cites Pointer Sentinel Mixture Models.

Dobi-SVD: Differentiable SVD for LLM Compression and Some New Perspectives Pointer Sentinel Mixture Models

Reference 37

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no resolver link, observed 2026-08-09T11:28:42.437017Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T11:28:42.437017Z digest=sha256:7c119b493b9eb2de642775d94371b1e338c21007312a42cdec7585abb3c070ba

Observation b923d85f-0b51-486f-86b2-2e3ef19e8b9e · outbound

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

Dobi-SVD: Differentiable SVD for LLM Compression and Some New Perspectives Can a Suit of Armor Conduct Electricity? A New Dataset for Open Book Question Answering

Reference 38

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no resolver link, observed 2026-08-09T11:28:42.441449Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T11:28:42.441449Z digest=sha256:db58752478fbb2dc128d3133e172c7f06a4d991a3a7e3627ce035d194d1f0edf

Observation 01ec3da1-08d8-45c0-adfa-87b56b4d1b13 · outbound

This paper cites ACDC: A Structured Efficient Linear Layer.

Dobi-SVD: Differentiable SVD for LLM Compression and Some New Perspectives ACDC: A Structured Efficient Linear Layer

Reference 39

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unresolved
no resolver link, observed 2026-08-09T11:28:42.446884Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T11:28:42.446884Z digest=sha256:1417fe2fc3d4ce8ceaa2ab43dd0751ededecd44b36847a7a904f708ef8774250

Observation b0d85e89-1e63-4ad9-9db4-c8e7b8732f36 · outbound

This paper cites Image compression using svd.

Dobi-SVD: Differentiable SVD for LLM Compression and Some New Perspectives Image compression using svd

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T11:28:43.709916Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-09T11:28:42.452103Z digest=sha256:a032fd814121fe1ec2e0640cc5f09e655eadab9e8dde156de484e55166feff0f

Observation 5ece4296-0a93-4dfa-9159-73f4a2b6d871 · outbound

This paper cites SQuAD: 100,000+ Questions for Machine Comprehension of Text.

Dobi-SVD: Differentiable SVD for LLM Compression and Some New Perspectives SQuAD: 100,000+ Questions for Machine Comprehension of Text

Reference 41

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no resolver link, observed 2026-08-09T11:28:42.457003Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T11:28:42.457003Z digest=sha256:1171a612fe83f015201c82ab6950e88852ad8e1cdac8bffaa48fa0182099649c

Observation 9beb877d-15c1-413d-8a9e-664b27c79661 · outbound

This paper cites Matrix compression via randomized low rank and low precision factorization.

Dobi-SVD: Differentiable SVD for LLM Compression and Some New Perspectives Matrix compression via randomized low rank and low precision factorization

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T11:28:43.693174Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-09T11:28:42.461944Z digest=sha256:f44fb9e84d406be3f22476293636ccd29b231f9d9338a0ccbc46d3ce3a3db909

Observation d563c240-c76a-4cc3-aba1-c10f28543947 · outbound

This paper cites Compressing Large Language Models using Low Rank and Low Precision Decomposition.

Dobi-SVD: Differentiable SVD for LLM Compression and Some New Perspectives Compressing Large Language Models using Low Rank and Low Precision Decomposition

Reference 43

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no resolver link, observed 2026-08-09T11:28:42.466468Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T11:28:42.466468Z digest=sha256:39925afc1dd3b07c4a6e66544844beee7cb8d1df36569dd49a0e67d43726cfc7

Observation 13997ab6-c7a7-4675-88e2-d11a0b153672 · outbound

This paper cites Low-rank matrix factorization for deep neural network training with high-dimensional output targets.

Dobi-SVD: Differentiable SVD for LLM Compression and Some New Perspectives Low-rank matrix factorization for deep neural network training with high-dimensional output targets

Reference 44

Resolution
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no resolver link, observed 2026-08-09T11:28:42.471191Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T11:28:42.471191Z digest=sha256:d0f0b5f8d5a802699712a7bdd3e603ed91420251e11a8c20aadf1b6737a45762

Observation 1e8d0440-62ab-4f58-9a92-2b2c330a4315 · outbound

This paper cites Winogrande: An adversarial winograd schema challenge at scale.

Dobi-SVD: Differentiable SVD for LLM Compression and Some New Perspectives Winogrande: An adversarial winograd schema challenge at scale

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T11:28:43.608732Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-09T11:28:42.475865Z digest=sha256:f92bb11359dc3260af66c110f2df4bb57b2ed6965a9e1cd1e88a1c9057eb4871

Observation 434727a9-f935-42c4-ace9-b25fb353ac1d · outbound

This paper cites Winogrande: An adversarial winograd schema challenge at scale.

Dobi-SVD: Differentiable SVD for LLM Compression and Some New Perspectives Winogrande: An adversarial winograd schema challenge at scale

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T11:28:43.556374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-09T11:28:42.480731Z digest=sha256:f13fab57aaa15ce4ab930b55e73bbb3bb5ebf7254cb29d0c5fea6ff742972c59

Observation af495976-c665-41ef-8997-8bd30f57575f · outbound

This paper cites The Truth is in There: Improving Reasoning in Language Models with Layer-Selective Rank Reduction.

Dobi-SVD: Differentiable SVD for LLM Compression and Some New Perspectives The Truth is in There: Improving Reasoning in Language Models with Layer-Selective Rank Reduction

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-09T11:28:42.485667Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T11:28:42.485667Z digest=sha256:8d156198a162165ecae25d74ccfbf35193fcfa00cdfc673bd12a7a935c024299

Observation 1a0ce23c-c2e9-4648-8002-6bf5101d6af0 · outbound

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

Dobi-SVD: Differentiable SVD for LLM Compression and Some New Perspectives A Simple and Effective Pruning Approach for Large Language Models

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-09T11:28:42.490118Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T11:28:42.490118Z digest=sha256:42ca9991e9668bcf338af96067ee02ebe521fb21dab5d8fd4c494d617a800732

Observation f175828b-14e0-4991-83c7-a12f67c56d2b · outbound

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

Dobi-SVD: Differentiable SVD for LLM Compression and Some New Perspectives LLaMA: Open and Efficient Foundation Language Models

Reference 49

Resolution
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no resolver link, observed 2026-08-09T11:28:42.495068Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T11:28:42.495068Z digest=sha256:6c8bcf8783096efbd79703f6d8781cb0ff4624c17c083e96524152299c379361

Observation 9ce627bf-d948-46bd-841c-b01d331763aa · outbound

This paper cites Pufferfish: Communication-efficient models at no extra cost.

Dobi-SVD: Differentiable SVD for LLM Compression and Some New Perspectives Pufferfish: Communication-efficient models at no extra cost

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T11:28:43.467239Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-09T11:28:42.499865Z digest=sha256:f61c25ea214cb6075da1912f4b81b3ced9e72906ae05420464b7d118cf06f968

Observation 992b39bd-bb94-44ea-b27b-3377db3fb089 · outbound

This paper cites Robust differentiable svd.

Dobi-SVD: Differentiable SVD for LLM Compression and Some New Perspectives Robust differentiable svd

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T11:28:43.448641Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-09T11:28:42.504833Z digest=sha256:5247503ba853553f41fcd10667c9694196800648dd071f4ed28b7d0a7aec8130

Observation 4d395912-3d91-429c-89e0-8e7b8e6dc102 · outbound

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T11:28:42.509299Z digest=sha256:deec05f25b4d79fd7b0a5cf11b3139cfebb09014230e7e2d7e24a8945fb8b362

Observation b22028f7-21fb-4373-a079-e19855b26f98 · outbound

This paper cites Candid covariance-free incremental principal component analysis.

Dobi-SVD: Differentiable SVD for LLM Compression and Some New Perspectives Candid covariance-free incremental principal component analysis

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T11:28:43.432442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-09T11:28:42.513999Z digest=sha256:72557adf9cc199e86d37865383b28c26819b1cf41a5d2c5565d9589b6dbb3488

Observation 2876c3e4-03ec-46ea-a200-02f8c261382b · outbound

This paper cites The devil is in the details --- W ikipedia , the free encyclopedia.

Dobi-SVD: Differentiable SVD for LLM Compression and Some New Perspectives The devil is in the details --- W ikipedia , the free encyclopedia

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T11:28:43.417085Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-09T11:28:42.518140Z digest=sha256:ab0ada75b1a22e213ff844fa60348018c0d30873ae31da39d3cb3821b99b43b8

Observation a60e0235-b8eb-4d4c-b462-f833dfa36b97 · outbound

This paper cites Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning.

Dobi-SVD: Differentiable SVD for LLM Compression and Some New Perspectives Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning

Reference 55

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no resolver link, observed 2026-08-09T11:28:42.522131Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T11:28:42.522131Z digest=sha256:54599f3412d52dc7e71f37f2e6377e4fcc37b44b4302081bb57d54b8f46a3364

Observation e64fc05a-cbf4-4b36-997d-ae8b8030e2fb · outbound

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

Dobi-SVD: Differentiable SVD for LLM Compression and Some New Perspectives ASVD: Activation-aware Singular Value Decomposition for Compressing Large Language Models

Reference 56

Resolution
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no resolver link, observed 2026-08-09T11:28:42.526356Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T11:28:42.526356Z digest=sha256:37e5033cf95bc587c351ee43b90ff33551b8206204355a13b779d0611f835609

Observation b7caf2f9-3571-4444-bfd4-1c7e1fcd5131 · outbound

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

Dobi-SVD: Differentiable SVD for LLM Compression and Some New Perspectives HellaSwag: Can a Machine Really Finish Your Sentence?

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-09T11:28:42.570201Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T11:28:42.570201Z digest=sha256:5d31c16b54a040e48d465d577f99f1454155f6f6ae21142d511bcfdf22049f32

Observation 458170ee-cc5f-458f-bb52-13d3f0d5936f · outbound

This paper cites LQER: Low-Rank Quantization Error Reconstruction for LLMs.

Dobi-SVD: Differentiable SVD for LLM Compression and Some New Perspectives LQER: Low-Rank Quantization Error Reconstruction for LLMs

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-09T11:28:42.604458Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T11:28:42.604458Z digest=sha256:bce0e0048377ac1e40dd0cf4bddeb9ba6cef4ff3a7e7133c13854880cdce4987

Observation 9ce77cd2-bdfe-4efb-8463-001cdf496660 · outbound

This paper cites OPT: Open Pre-trained Transformer Language Models.

Dobi-SVD: Differentiable SVD for LLM Compression and Some New Perspectives OPT: Open Pre-trained Transformer Language Models

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-09T11:28:42.651631Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T11:28:42.651631Z digest=sha256:264ca1ee81f6dfffdb8aa0766bd442621a05bf51cfbc626db0c4a9775c828794

Observation 67c7d24b-be20-4a98-91ab-a6d20a00a95d · outbound

This paper cites Accelerating very deep convolutional networks for classification and detection.

Dobi-SVD: Differentiable SVD for LLM Compression and Some New Perspectives Accelerating very deep convolutional networks for classification and detection

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T11:28:43.400419Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-09T11:28:42.689485Z digest=sha256:0a9c9b731d80b24a531ec4492781c9ef1cc7a1b444bbdbe924a008a872bfc69b

Observation 071b07a0-3070-4513-82a3-521419cfc3e7 · outbound

This paper cites A novel strategy for signal denoising using reweighted svd and its applications to weak fault feature enhancement of rotating machinery.

Dobi-SVD: Differentiable SVD for LLM Compression and Some New Perspectives A novel strategy for signal denoising using reweighted svd and its applications to weak fault feature enhancement of rotating machinery

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T11:28:43.383862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-09T11:28:42.737800Z digest=sha256:882354c2d63257b1a9058ced28c7622cd5df0a07ba9f2fd67eb7ab5c9ab09cd5

Observation abcd91fc-4b79-4145-b1bb-5df9c3215ade · outbound

This paper cites write newline.

Dobi-SVD: Differentiable SVD for LLM Compression and Some New Perspectives write newline

Reference 62

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unresolved
no resolver link, observed 2026-08-09T11:28:42.766523Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T11:28:42.766523Z digest=sha256:66697190801a0304f2ddba4e6895c171633a790b48e7566a9759ac63df102e7f

Observation 320e95d5-70e1-47f3-918f-06ffaac58c5d · outbound

This paper cites @esa (Ref.

Dobi-SVD: Differentiable SVD for LLM Compression and Some New Perspectives @esa (Ref

Reference 63

Resolution
unresolved
no resolver link, observed 2026-08-09T11:28:42.772679Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T11:28:42.772679Z digest=sha256:55f8f70b99e32730b9f8e192ec26a01b86b2790126a3307ab9c828f84205f43c

Observation 576de6e5-b7eb-4ed6-ae59-458640f03c8a · outbound

This paper cites an unresolved cited work.

Dobi-SVD: Differentiable SVD for LLM Compression and Some New Perspectives Unresolved cited work

Reference 64

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no resolver link, observed 2026-08-09T11:28:42.777627Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T11:28:42.777627Z digest=sha256:43cc10bdb2f6d0705fa969518c61bcd80d28347aa9058a351127f456c41089a3

Observation fc691c87-b253-4778-a693-499b3a43a523 · outbound

This paper cites an unresolved cited work.

Dobi-SVD: Differentiable SVD for LLM Compression and Some New Perspectives Unresolved cited work

Reference 65

Resolution
unresolved
raw_fallback, observed 2026-08-09T11:28:43.335050Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-09T11:28:42.782058Z digest=sha256:330a72ebcd1dc774164186c719118514f69bcdbd14e23584b087c3eb161e7f20

Pith citing papers

Observation 92630c1d-d3a7-4d52-b8e5-590a396fc622 · inbound

MLorc: Momentum Low-rank Compression for Memory Efficient Large Language Model Adaptation cites this paper.

MLorc: Momentum Low-rank Compression for Memory Efficient Large Language Model Adaptation Dobi-SVD: Differentiable SVD for LLM Compression and Some New Perspectives

Reference 13

Resolution
metadata mismatch
arxiv_id, observed 2026-05-19T10:52:15.105013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-19T10:50:36.629493Z digest=sha256:8a69bdf50debb831d2139cbb2481e7d763b1015a25ff43e307dee372a45569e4

Observation 80863ccb-f140-4e60-be2e-760954c897e0 · inbound

Performant Unified GPU Kernels for Portable Singular Value Computation Across Hardware and Precision cites this paper.

Performant Unified GPU Kernels for Portable Singular Value Computation Across Hardware and Precision Dobi-SVD: Differentiable SVD for LLM Compression and Some New Perspectives

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-05T22:52:34.945281Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T22:52:34.945281Z digest=sha256:4daf23e8af47d2e7985a0e9b81041314f276f09bae8ef42a3a67f580d15f8b92

Observation 7a7c3906-05eb-4b15-bd72-62c0f4f5af37 · 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 Dobi-SVD: Differentiable SVD for LLM Compression and Some New Perspectives

Reference 29

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unresolved
no resolver link, observed 2026-08-04T17:22:08.984558Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T17:22:08.984558Z digest=sha256:2de95ac322f777bacfdd98a07391d5a3813aa3f9522c88296d79bbcb9185805c

Observation 1a9c3d5e-6a79-4555-aca3-7d9f1d6ac06d · 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 Dobi-SVD: Differentiable SVD for LLM Compression and Some New Perspectives

Reference 50

Resolution
verified exact
arxiv_id, observed 2026-05-18T02:52:21.828106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-18T02:51:19.275111Z digest=sha256:7a76bfa297d4ffeb2df154f807670267a118128c965125ef91baefcd4c3971fa

Observation fc3fe965-3261-4108-8a38-d6be2b72e2df · 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 Dobi-SVD: Differentiable SVD for LLM Compression and Some New Perspectives

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-12T07:41:33.281262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-12T02:22:51.541981Z digest=sha256:17e8bc0dc16e1a909812b823ad98720f63a6d96c87cf5b17498d9587f8442062

Observation 780a5aed-363f-4d75-b1f9-680ffc603211 · 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 Dobi-SVD: Differentiable SVD for LLM Compression and Some New Perspectives

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-05-20T13:03:17.841732Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-20T13:02:08.337788Z digest=sha256:9183e6cba868794373af52e6a5e687b9ee62483525f519c1336341e52f0e0082

Observation 790cbab5-caf8-42f9-8ded-dd198d1df81e · 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 Dobi-SVD: Differentiable SVD for LLM Compression and Some New Perspectives

Reference 16

Resolution
metadata mismatch
arxiv_id, observed 2026-06-28T19:02:34.643744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-06-28T18:55:51.474956Z digest=sha256:f27352f87b4f1b4375c5cb8afcbe13cdfe9fc780702b4d20f4b45039cf6a0501

Observation 15e703f2-3558-44de-9f52-1ba3b8efc1fa · 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 Dobi-SVD: Differentiable SVD for LLM Compression and Some New Perspectives

Reference 49

Resolution
verified exact
arxiv_id, observed 2026-06-28T19:12:34.654011Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-28T19:09:29.347284Z digest=sha256:f2468e0eca37e9d7eb5cb726b4e862bf705c75c9b64195b271cf083511f5299c

Observation 8cb8d725-9f22-4289-8845-758fa7265c5e · 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 Dobi-SVD: Differentiable SVD for LLM Compression and Some New Perspectives

Reference 44

Resolution
verified exact
arxiv_id, observed 2026-07-02T01:46:26.847497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-28T11:31:25.851340Z digest=sha256:4301f526cc4be4a621c1199879fc67fcca3e9df6bffd9e9e92855620ae58f9e3

Observation 469c2b70-0a88-446a-a3a9-ffb4dfce1e3d · 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 Dobi-SVD: Differentiable SVD for LLM Compression and Some New Perspectives

Reference 39

Resolution
verified exact
arxiv_id, observed 2026-06-27T22:11:20.856484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-06-27T22:04:32.524875Z digest=sha256:a0b08e026223efae49d23bc32dbccad950b4e8e005fb60e9202605225c48c20c

Observation 91e5a9e7-e2ac-4db5-9dec-69fe05602ad9 · inbound

LACE-SVD: Loss-Aware SVD with Cumulative Error Correction for LLM Compression cites this paper.

LACE-SVD: Loss-Aware SVD with Cumulative Error Correction for LLM Compression Dobi-SVD: Differentiable SVD for LLM Compression and Some New Perspectives

Reference 5

Resolution
unresolved
no resolver link, observed 2026-07-12T05:11:18.690792Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-12T05:11:18.690792Z digest=sha256:4b62714f0d5665cbecbcadbeddb1708c7878c05fd0ec259e7bebc51c58b8b02e